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Open Access Research Article

Simplifying the Understanding and Measurement of Mental Disorders Thru a Comprehensive Framework of Psychosocial Health

Waqar Husain *, Farrukh Ijaz , Muhammad Ahmad Husain , Marwa Zulfiqar , Javeria Khalique 

  1. Department of Humanities, COMSATS University Islamabad, Islamabad Campus, Pakistan

Correspondence: Waqar Husain

Academic Editor: Marianna Mazza

Collection: Mind-Body Approaches that are Revolutionizing the Health Field

Received: December 20, 2023 | Accepted: January 16, 2024 | Published: January 23, 2024

OBM Integrative and Complementary Medicine 2024, Volume 9, Issue 1, doi:10.21926/obm.icm.2401011

Recommended citation: Husain W, Ijaz F, Ahmad Husain M, Zulfiqar M, Khalique J. Simplifying the Understanding and Measurement of Mental Disorders Thru a Comprehensive Framework of Psychosocial Health. OBM Integrative and Complementary Medicine 2024; 9(1): 011; doi:10.21926/obm.icm.2401011.

© 2024 by the authors. This is an open access article distributed under the conditions of the Creative Commons by Attribution License, which permits unrestricted use, distribution, and reproduction in any medium or format, provided the original work is correctly cited.

Abstract

The assessment of mental health and mental disorders has undergone extensive exploration within the field of psychology, resulting in various models and approaches. In addition to traditional ways like the Diagnostic and Statistical Manual of Mental Disorders, psychologists have proposed alternative perspectives for evaluating mental health. One such innovative approach is the psychosocial health model, which defines mental well-being as sexual, emotional, social, environmental, cognitive, religious, moral, and spiritual satisfaction. This paper presents four consecutive studies aimed at developing and validating a new scale, Sukoon Psychosocial Illness Scale (SPIS), to measure psychosocial illness and its sub-factors based on the model of psychosocial health. SPIS was developed and validated through four sequential studies involving 684 participants. Rigorous exploratory and confirmatory factor analyses were employed to establish content and construct validity. Convergent and discriminant validity were assessed by examining associations with psychological distress and overall psychosocial health. Reliability was evaluated using internal consistency, test-retest reliability, and item-total and item-scale correlations. The results of the study confirm the high reliability and validity of SPIS. This refined instrument consists of 21 items presented in English, employing a 7-point Likert scale for responses. The scale comprises six distinct sub-scales, namely emotional problems, sexual problems, religious and moral problems, social problems, spiritual problems, and professional problems. SPIS emerges as a promising tool for future researchers and clinicians, offering a fresh perspective on mental disorders through the comprehensive lens of psychosocial health. This instrument contributes to the evolving landscape of mental health assessment and underscores the importance of considering diverse dimensions for a holistic understanding of psychosocial well-being.

Keywords

Psychosocial health; psychosocial wellness; psychosocial illness; psychosocial problems; mental health; mental disorders; psychological wellbeing; diagnosis; psychopathology; abnormal psychology; Sukoon psychosocial illness scale

1. Introduction

The comprehension of the constructs of mental health and mental disorders has been a subject of ongoing debate among theorists and clinicians throughout history. Clinical psychology, as a predominant scientific discipline, encompasses diverse models and approaches to comprehend and address mental health and mental disorders. Recent advancements in Positive Psychology and the Psychology of Religion & Spirituality have encouraged clinical psychologists to transcend conventional psychopathological perspectives. As a result, psychologists are increasingly inclined to adopt a more comprehensive view of mental health and mental disorders by focusing more on biological, cognitive, psychological, emotional, social, sexual, environmental, religious, moral, and spiritual dimensions. Criticism of existing methods for diagnosing mental disorders has prompted psychologists to devise new models within clinical psychology, diverging from the conventional Diagnostic and Statistical Manual of Mental Disorders [1]. The emergence of the 'psychosocial health' model [2] exemplifies a novel approach, conceptualizing mental health as the amalgamation of "sexual, emotional, social, environmental, cognitive, religious, moral, and spiritual satisfaction" in an individual. This paper presents the outcomes of four consecutive studies dedicated to developing and validating a new scale designed to measure psychological problems within the framework of psychosocial health.

1.1 Psychopathology & Diagnosis

Psychopathology refers to the pathologies of the psyche [3]. It is a fundamental segment within clinical psychology and psychiatry [4] concerned with the scientific exploration of abnormal mental states [5,6,7]. It also involves the grouping and typification of abnormal behaviors [8]. Psychopathology has been defined differently and has been labeled as abnormal behavior [9], statistical deviance [9], physical, mental, or behavioral deviance [10], social deviance [11], developmental deviance [12], harmful dysfunction [13], and psychobiological dysfunction [14].

The Diagnostic and Statistical Manual of Mental Disorders (DSM) stands as a widely utilized tool for diagnosing psychopathological symptoms on a global scale. Published by the American Psychiatric Association (APA), the DSM has a long history of evolution from 1918 through the American Medico-Psychological Association. The contemporary DSM is the continuation of the ‘Statistical Manual for the Use of Institutions for the Insane (1918)’ and the ‘Statistical Manual for the Use of Hospitals for Mental Diseases (1942)’ of the same association [14]. This continuation gradually resulted in DSM-I (1952), DSM-II (1968), DSM-III (1980), DSM-III-R (1987), DSM-IV (1994), DSM-IV-TR (2000), and DSM-5 (2013). All these versions had significant modifications in the concepts of normality and abnormality. DSM has been criticized frequently for being unscientific [15], unreliable [16,17], unnecessarily lengthy (947 pages) and not used cover to cover by a majority of mental health practitioners [14], presenting unrealistic mental conditions that are not abnormal [18,19,20], creating mental disorders out of nothing instead of discovering psychopathology from the real-life situations [18,21], projecting improper classifications of mental disorder [22,23,24,25], being invalid from a cross-cultural perspective [26,27], and giving undue financial benefits to the psychiatrists who are involved in its development [28]. Researchers have also been proposing modifications and alternatives to DSM, such as the dimensional classification system [29], the research domain criteria [30], and the hierarchical taxonomy of psychopathology [31,32].

1.2 The Construct of Mental Health

The burden of mental disorders has been reasonably established [33]. However, mental health services are underutilized globally [34]. Despite an estimated 30% to 50% of the global population experiencing mental illness, only one-third of them seek mental health treatment [35]. The stigma associated with psychological assistance leads individuals to hesitate to consult professionals, making it a pervasive problem [36]. Mental health problems often manifest in physical symptoms, leading individuals to deny psychological issues and consult general physicians instead [37]. Additionally, insufficient mental health literacy and social stigma contribute to the reluctance to address mental disorders [38].

The understanding of psychopathology and mental disorders is not a subject of ‘pure science’. Besides psychiatry's sincere efforts to establish connections between mental disorders and human neurology, there exists a general disconnect among people in both developing and developed countries. Mental health-related problems are not commonly associated with science or neurology [36,39,40,41,42,43,44,45,46]. As the mind and mental processes cannot be examined in scientific laboratories, the knowledge and the application of mental health and mental disorders have always been based upon the diversified theories of mental health and well-being proposed by different individuals throughout history. From Aristotle to the present day, the terminology surrounding mental health, such as happiness, satisfaction with life, quality of life, mental well-being, mental wellness, psychological well-being, psychological wellness, and more, has been used interchangeably. [47,48,49,50]. The construct of mental health has always been confusing [51] and has often been defined predominantly as the absence of psychopathologies [52].

1.3 Goals of Mental Health

Theorists have proposed diversified goals of mental health, such as the fulfillment of the purpose of life [53,54], the gratification of human needs [55,56], a match between hoped-for and achieved goals [57], a comparison between goals and accomplishments [58], the fulfillment of a person’s essential desires [59], the gratification of a person’s needs [60], an achievement of a person’s life expectations [61], the possession of a suitable living environment [62], an evaluation of the life as a whole [63], an adequate social status [64], the effective functioning in a social context [65], the possession of higher levels of positive personal attributes and lesser levels of adverse behaviors [66], and a subjective criterion of happiness [67,68,69,70]. Mental health is also regarded as a multi-dimensional framework above the mere absence of psychological problems [47,52]. It has been considered as the capacity of a person to attain total growth, to work effectively and creatively, to build strong, positive relationships, to adapt socially well, and to serve the community [38,50,71,72,73]. It is more a process than an outcome [74].

1.4 Factors Involved in Mental Health

The attainment of mental health has also been linked with diversified factors such as physical health of a person [75], healthy family relations [76,77], extraversion in personality [78], optimism for the future [79], being married [80,81], sexual satisfaction [82], body image [83], financial stability and job satisfaction [84,85,86,87,88,89,90,91].

1.5 Models of Mental Health

Besides the interactive nature of these concepts, several theorists have elaborated on the components and models of psychosocial well-being and mental health. These models include sets of elements or domains involved in understanding the broader concepts of psychosocial well-being such as zest, resolution, congruence, self-concept, mood-tone [57], self-acceptance, positive relations with others, personal growth, purpose in life, environmental mastery, and autonomy [92], happiness, quality of life, positive affect, self-acceptance, personal growth, purpose and meaning, environmental mastery, personal control, positive relations, and morale [93], satisfaction of human needs [94], competence, relatedness, and autonomy [74], mental, physical, social, and environmental well-being [95], mental, emotional, social, physical, economic, cultural and spiritual health [96], positive affect, emotional awareness and regulation, interpersonal communication, and personal adaptation [97], inter and intra-personal domains [73]. Each model provides a unique lens to examine and understand the multifaceted nature of psychosocial well-being and mental health.

The globalized landscape and widespread adoption of information technology have significantly altered the dynamics of human socialization. With increased connectivity, people are more engaged and intertwined with each other, leading to profound effects on psychological well-being and mental health. Various social factors play crucial roles in shaping mental health, including social comparison, public opinion, self-evaluation, inferiority and superiority complexes, quality of relationships [98,99], social environment [100,101], social events [102,103], social integration [104,105], social acceptance, social actualization, social coherence, social contribution [106], social satisfaction [107], and fear of missing out in social media engagement [108]. Religion, moral values, and spirituality contribute to an individual's subjective well-being [54,92,109,110,111,112,113,114,115,116,117,118,119,120,121,122]. Recently, a new model of mental health has been proposed and validated, introducing the concept of psychosocial health [2]. This model defines psychosocial health as the "sexual, emotional, social, environmental, cognitive, religious, moral, and spiritual satisfaction" of an individual [2]. This comprehensive framework acknowledges the diverse dimensions of human experience that collectively contribute to mental well-being [2].

1.6 Previous Scales Measuring Mental Health and Psychopathology

Previous scales measuring mental health and psychopathology are not versatile and are intended to screen specific aspects of mental health or specific mental disorders. Life satisfaction index-A [57], affectometer [123], profile of mood states-short [124], Nottingham health profile [125], satisfaction with life scale [68], Kellner's symptom questionnaire [126], general health questionnaire [127], happiness measures [128], positive and negative affect scale [129], mental health inventory-5 [130], 15-dimensional measure of health-related quality of life [131], Goteborg quality of life instrument [132], inventory of positive psychological attitudes [133], life satisfaction questionnaire-9 [134], older adult health and mood questionnaire [135], Snaith-Hamilton pleasure scale [136], Chinese happiness inventory [137], quality of wellbeing self-administered [138], state-trait cheerfulness inventory [139], subjective vitality scale [140], temporal satisfaction with life scale [141], assessment of quality of life [142], subjective happiness scale [143], questions on life satisfaction [144], multidimensional personality questionnaire-brief [145], Oxford happiness questionnaire [146], basic psychological needs scale [147], CASP-19: control, autonomy, self-realization, and pleasure [148], depression-happiness scale-short [149], health and well-being assessment [150], orientations to happiness [151], social production function-IL [152], well-being picture scale [153], meaning in life questionnaire [154], psychological general wellbeing index [155], EUROHIS-QOL [156], Memorial University of Newfoundland scale of happiness [157], Warwick-Edinburgh mental well-being scale-short [158], salutogenic health indicator scale [159], scale of positive and negative experience [160], ICECAP-A [161], BBC subjective wellbeing scale [162], ontological well-being scale [163], physical mental and social wellbeing scale [164], positive functioning inventory [165], functional well-being scale [166], and ICOPPE interpersonal, community, occupational, physical, psychological, and economic well-being [167] are the examples of the earlier measures that tried to be general in exploring mental health or psychopathology. Some other scales focused on a single component of psychosocial well-being such as emotional well-being [168], spiritual well-being [169], social well-being [170], multiple affect adjective check list-revised [171], quality of life index-generic [172], quality of life inventory [173], Ryff's scales of psychological well-being [174], perceived wellness survey [175], mental physical spiritual well-being scale [176], self-evaluated quality of life questionnaire [177], the spiritual well-being questionnaire [178], spirituality index of well-being [179], authentic happiness index [180], personal well-being index-adult [181], the spirituality scale [182], mental health continuum-short form [183], Steinhauser spiritual concern probe [184], biopsychosocialspiritual inventory [185], serenity scale-brief [186], valued living questionnaire [187], questionnaire for eudaimonic well--being [188], multicultural quality of life index [189], positive mental health instrument [190], purpose in life test-short form [191], public health surveillance well-being scale [192], and WHO-brief spiritual, religious and personal beliefs [193].

1.7 Significance and Scope of the Present Study

In contemporary clinical psychology, psychosocial health has emerged as a groundbreaking model that redefines mental health by encompassing various dimensions. This model [2], born from a synthesis of baseline studies [194,195,196,197,198,199,200] and the intersection of religion, morality, spirituality, and psychology [201], represents a paradigm shift in understanding mental well-being. The model of psychosocial health is distinctive, as it expands the traditional aspects of mental health, such as emotional, social, and cognitive, to include sexual, environmental, religious, moral, and spiritual dimensions. Psychosocial health, in this model, is defined as the "sexual, emotional, social, environmental, cognitive, religious, moral, and spiritual satisfaction" of an individual, acknowledging the diverse facets of the human experience that collectively contribute to mental well-being. The rationale of the present study relates to the specific deficiencies of the traditional scales on mental health and psychopathology that have historically overlooked those crucial dimensions of mental health that have been highlighted in the recent model of psychosocial health. This limitation necessitated the development of a more comprehensive framework to understand mental health and well-being from an enhanced and holistic perspective.

The present study unfolds the culmination of four consecutive research investigations dedicated to creating and validating the Sukoon Psychosocial Illness Scale (SPIS). This self-report tool, developed within the framework of psychosocial health, aims to assess psychological problems across seven integral components: sexual, emotional, socio-environmental, professional, religious, moral, and spiritual domains. SPIS is a milestone in psychosocial assessment, thoroughly evaluating an individual's psychosocial health. Unlike earlier scales, SPIS highlights the holistic understanding of psychosocial health, offering insights from etiological and pathological perspectives. The development, validation, and presentation of SPIS in this series of studies provide a valuable resource for future researchers and clinicians. This scale enhances professionals' ability to conduct a comprehensive psychosocial health assessment, contributing to an enriched understanding of individuals' well-being. The SPIS represents a significant advancement in clinical psychology, addressing the limitations of traditional models and scales. Its comprehensive approach to evaluating psychosocial health across diverse dimensions ensures its relevance in research and clinical applications, marking a crucial step toward a more holistic understanding of individuals' mental well-being.

2. Materials and Methods

2.1 Participants

The comprehensive series of four consecutive studies involved a total of 684 participants (N = 684; Men = 297; Women = 387; Age range = 18-55 years; Mean Age = 23 years; Education range = Matriculation to Doctorate; Average education = Graduation) i.e. study 1 (N = 115; Men = 40; Women = 75; Age range = 18-55 years; Mean Age = 26 years; Education range = Matriculation to Masters; Average education = Graduation), study 2 (N = 156; Men = 57; Women = 99; Age range = 18-40 years; Mean Age = 22 years; Education range = Matriculation to Doctorate; Average education = Graduation), study 3 (N = 300; Men = 150; Women = 150; Age range = 18-43 years; Mean Age = 23 years; Education range = Matriculation to Doctorate; Average education = Graduation), and study 4 (N = 113; Men = 50; Women = 63; Age range = 18-51 years; Mean Age = 24 years; Education range = Matriculation to Masters; Average education = Graduation).

2.2 The Instruments

The Sukoon Psychosocial Illness Scale (SPIS), developed and validated in the current series of studies, comprises 21 items in the English language. The response sheet employs a 7-point Likert scale, ranging from strongly disagree to agree strongly. SPIS includes six sub-scales, each labeled to address specific areas of concern: emotional problems, sexual problems, religious & moral problems, social problems, spiritual problems, and professional problems. Through rigorous testing conducted three times, SPIS has demonstrated reliability and validity.

The Psychosocial Health Evaluator [2] was used to establish discriminant validity in conjunction with SPIS. Convergent validity of SPIS was assessed using the Kessler Psychological Distress Scale [202]. A Demographic Information Questionnaire was also administered to gather details about participants' gender, age, and education, contributing valuable contextual information to the study. These comprehensive measures and methodologies enhance the robustness and credibility of SPIS as a tool for evaluating psychosocial health.

2.3 Procedure

The data collection process involved individual interactions with participants in various settings, including hospitals, clinics, educational institutions, and public offices. Researchers approached potential participants individually, providing information about the study's objectives and obtaining verbal consent for their participation. Participants were assured of the confidentiality of their data, and expressions of gratitude were extended for their willingness to participate in the study.

2.4 Analysis

Both exploratory factor analysis and confirmatory factor analysis were conducted to assess the reliability and validity of the Sukoon Psychosocial Illness Scale (SPIS). Additionally, statistical techniques such as the Pearson Correlation Coefficient, t-test, simple regression, and descriptive statistics were employed to analyze the data further. These comprehensive analyses contribute to ensuring the robustness and validity of the findings derived from the SPIS in evaluating psychosocial health.

The study was approved by the Departmental Ethics Review Committee of the (blinded) university. The data collection process was in accordance with the 1964 Helsinki Declaration and its later amendments.

3. Results

3.1 The Etiological Foundations for Sukoon Psychosocial Illness Scale (SPIS)

Based on the model of psychosocial health [2] that defines psychosocial health as the “sexual, emotional, social, environmental, cognitive, religious, moral, and spiritual satisfaction” of a person; a checklist was developed. This checklist (Table 1) comprised of the possible symptoms for the sexual, emotional, social, environmental, cognitive, religious, moral, and spiritual problems. The compilation of these symptoms was based on a detailed review of earlier literature, including the Diagnostic and Statistical Manual of Mental Disorders [1]. The checklist can also be used for diagnostic purposes by clinicians who would like to follow the model of psychosocial health.

Table 1 The checklist of symptoms based on the model of psychosocial health.

3.2 The Psychometric Properties of Sukoon Psychosocial Illness Scale (SPIS)

The initial item-pool for SPIS consisted of 107 items. These items were based on the checklist of symptoms (Table 1), as mentioned earlier. SPIS was initially observed by a panel of 5 expert clinical psychologists who screened it out for appropriate face and content validity. Face or content validity is vital in scale development [203,204]. After reviewing the 107 initial items, the panel agreed upon all the items to be valid for the construct of psychological problems based on the model of psychosocial health. The panel's ratings were also obtained through a 5-point Likert scale, i.e. strongly disagree to agree strongly. Significant positive correlations were found between the ratings of all five experts for all the items.

To establish the construct validity of SPIS, principal component analysis (study 1), exploratory factor analysis (study 2), and confirmatory factor analysis (study 3) were conducted. These analyses reveal different dimensions available within a scale and determine the factorial validity. Principal component analysis was employed for extraction each time. The rotation method was varimax. Sampling adequacy, by using Kaiser-Meyer-Olkin’s values [205], was found meritorious (Table 2) in study 1 (KMO = 0.801), study 2 (KMO = 0.800), and study 3 (KMO = 0.861). Bartlett’s test of sphericity [206] was used to analyze the adequacy of correlations between items. It was found to be highly significant (Table 2; p = 0.000) in the principal component analysis (PCA), the exploratory factor analysis (EFA), and the confirmatory factor analysis (CFA). During PCA, 86 items were discarded for projecting unacceptable values for extraction (i.e. <0.4). The factor structure of SPIS reported 6 factors in PCA (Emotional Problems, Sexual Problems, Religious & Moral Problems, Social Problems, spiritual Problems, & Professional Problems), which were similar to the EFA and CFA (Table 3). The differences between the factor loadings and cross-loadings ranged from a minimum difference of -0.502 to a maximum difference of 0.833 and were above 0.2 for all the items (Table 3). Furthermore, the average factor loadings in each of the 6 factors in PCA, EFA, and CFA were greater than 0.7 (Table 3). The communalities for all the PCA, EFA, and CFA items ranged between 0.481 to 0.898 (Table 4), thus acceptable as all were above 0.4 [207].

Table 2 Descriptive statistics, reliability, and data accuracy for Sukoon Psychosocial Illness Scale (SPIS).

Table 3 Factor structure of Sukoon Psychosocial Illness Scale (SPIS).

Table 4 Communalities, Item-total and Item-scale correlations for Sukoon Psychosocial Illness Scale (SPIS).

Criterion-related validity is another technique for validating scales [208]. This is commonly measured by the convergent and predictive validity of a scale. The convergent validity of SPIS was established by significant positive correlations of psychological distress with psychosocial illnesses (Table 5; r = 0.699; p < 0.01), emotional problems (Table 5; r = 0.703; p < 0.01), sexual problems (Table 5; r = 0.398; p < 0.01), religious & moral problems (Table 5; r = 0.475; p < 0.01), social problems (Table 5; r = 0.303; p < 0.01), spiritual problems (Table 5; r = 0.381; p < 0.01), and professional problems (Table 5; r = 0.415; p < 0.01). The divergent validity of SPIS was determined thru the significant inverse correlations between psychological illness and psychosocial health (Table 5; r = -0.270; p < 0.01).

Table 5 Correlations.

The reliability of a scale refers to the consistency in the results by repeating it again and again. The mean scores of SPIS and its sub-scales retrieved from the four consecutive studies are consistent (Figure 1). Internal consistency or homogeneity is an important factor in the reliability of a scale [209]. Cronbach alpha is the most used measure for internal consistency reliability [210]. The Cronbach’s alpha reliability of SPIS was good in all four studies (Table 1; α = 0.886, 0.854, 0.890, & 0.884). Item-total and item-scale correlations are also important in measuring the reliability of a scale [211]. The item-total and item-scale correlations were highly significant for all the items in all the studies (Table 4; p < 0.01).

Click to view original image

Figure 1 test-retest reliability of SPIS.

3.3 Additional Findings

The analysis revealed that women exhibited significantly higher levels of psychosocial illness (Table 6; M = 67.40 vs. 59.15; p = 0.000; Cohen’s d = 0.424), emotional problems (Table 6; M = 20.40 vs. 17.36; p = 0.000; Cohen’s d = 0.371), sexual problems (Table 6; M = 9.19 vs 7.43; p = 0.000; Cohen’s d = 0.456), and social problems (Table 6; M = 12.72 vs 10.23; p = 0.000; Cohen’s d = 0.523). Men and women did not reveal significant religious, moral, spiritual, and professional differences. Age demonstrated substantial inverse correlations with psychosocial illness (Table 5; r = -0.136; p < 0.01), emotional problems (Table 5; r = -0.096; p < 0.05), sexual problems (Table 5; r = -0.123; p < 0.01), and professional problems (Table 5; r = -0.161; p < 0.01). Education had a significant positive correlation with social problems (Table 5; r = -0.081; p < 0.05).

Table 6 Gender-based differences in Psychosocial Illness and its counterparts.

4. Discussion

The significance of psychosocial aspects in mental health has been integral to the history of modern psychiatry [212]. Before 1950, research on psychiatric problems involved collaboration between psychologists and sociologists, with a focus on social activism and understanding the psychosocial foundations of mental disorders [213,214]. Many earlier theorists think that psychological problems result from adaptive failures in the psychosocial environment [215]. The recently proposed model of psychosocial health [2] defined psychosocial health as the “sexual, emotional, social, environmental, cognitive, religious, moral, and spiritual satisfaction” of a person. The composition of this model is based on the seven components of psychosocial health. Each of these seven components has been regarded as important for a person's psychological well-being. These components have been studied separately by several researchers who positively associated each of these seven components with mental health and psychological well-being. The sexual component [56,82,216,217], the emotional component [56,218], the cognitive component [219,220], the socio-environmental component [56,62,92,103], the religious component [109,110,111,112,113,115,116,117,118,119,120,121,122], the moral component [93], and the spiritual component [54,92,96,114], all have been regarded important contributing factors for a person’s psychological well-being. What sets apart the recent model of psychosocial health [2] is its additional focus on the religious, moral, and spiritual aspects involved in mental health, along with the conventional involvement of cognitive, sexual, emotional, social, and environmental dimensions of mental health. This broader perspective contributes to a more comprehensive understanding of the complex nature of psychosocial health.

4.1 The Religious, Moral, & Spiritual Aspects of Mental Health

Traditionally, psychological advancements in Western cultures have tended to downplay the role of spirituality, ethics, and religion in mental health. In the United States, psychiatrists were historically perceived as less religious compared to the general American population [221]. However, this perspective has been evolving, particularly with the rise of Positive Psychology [222,223,224]. Despite past biases against religion and spirituality, many researchers have underscored the significant role of religious beliefs, spirituality, and morality in mental health and psychosocial well-being. Recent literature highlights positive associations between religiosity and psychological well-being [109,110,111,112,113,114,115,116,117,118,119,121,122,225,226,227,228,229,230,231,232,233,234,235] and inverse correlations between religiosity and psychopathology [236,237,238,239,240,241,242,243,244]. Non-religious spirituality has also been positively correlated with mental health [120,245]. The aspects of religiosity, morality, and spirituality cannot be neglected in psychology [246] due to their established effects on prosocial behavior and the prevention of crime and deviance [247,248]. These three aspects are regarded as the prime sources to unite people and to bring peace, welfare, and prosperity to a society [249,250,251,252]. Moreover, these aspects are vital in finding meaning and achieving life satisfaction [253,254]. Acknowledging these dimensions is essential for a more holistic understanding of mental health and well-being.

5. Conclusions

In the dynamic landscape of clinical psychology, the emergence of the psychosocial health model has opened a new era of understanding mental well-being. This innovative paradigm, rooted in baseline studies and the convergence of religion, morality, spirituality, and psychology, represents a significant departure from traditional perspectives. As articulated in this model, psychosocial health goes beyond conventional parameters, encompassing emotional, social, and cognitive aspects and extending its reach to include sexual, environmental, religious, moral, and spiritual dimensions. The model eloquently characterizes psychosocial health as the "sexual, emotional, social, environmental, cognitive, religious, moral, and spiritual satisfaction" of an individual, thereby acknowledging the rich diversity of human experiences contributing to mental well-being. Historically, mental health scales and psychopathology assessments have faced limitations by excluding crucial dimensions such as sexual, environmental, religious, moral, and spiritual aspects. This inherent gap in understanding necessitated the development of a more expansive framework, prompting the present study to introduce the Sukoon Psychosocial Illness Scale (SPIS).

The SPIS is a pioneering self-report tool designed to assess psychological problems across seven integral components: sexual, emotional, socio-environmental, professional, religious, moral, and spiritual. SPIS is a testament to the commitment to holistic psychosocial assessment, reflecting a paradigm shift in understanding mental health. Unlike its predecessors, SPIS offers a holistic perspective on psychosocial health, providing insights into the origins and manifestations of psychological challenges. This depth of understanding is essential for tailoring interventions that address the multidimensional nature of psychosocial health. The development, validation, and presentation of SPIS in this series of studies extend beyond the immediate scope. SPIS serves as a promoter for future research endeavors, paving the way for new investigations into the complex interplay of sexual, emotional, socio-environmental, professional, religious, moral, and spiritual factors in psychosocial health. Its application in clinical settings promises a more enhanced approach to treatment, acknowledging the diversity of individual experiences. As a comprehensive assessment tool, SPIS holds the potential to revolutionize professional practices. Clinicians armed with SPIS can conduct more comprehensive and holistic evaluations, offering tailored interventions to their patients. In conclusion, SPIS contributes to a more profound understanding of individuals' well-being and promotes the development of holistic therapeutic strategies.

Author Contributions

Waqar Husain conceived the idea, designed the study, supervised the project, analyzed the data, and wrote the paper. Farrukh Ijaz, Muhammad Ahmad Husain, Marwa Zulfiqar, and Javeria Khalique were involved in data collection and literature review.

Competing Interests

The authors have declared that no competing interests exist.

References

  1. American Psychiatric Association. Diagnostic and statistical manual of mental disorders. 5th ed. Arlington, VA: American Psychiatric Association; 2013. [CrossRef]
  2. Husain W. Components of psychosocial health. Health Educ. 2021; 122: 387-401. [CrossRef]
  3. Stanghellini G. The meanings of psychopathology. Curr Opin Psychiatry. 2009; 22: 559-564. [CrossRef]
  4. Telles-Correia D, Sampaio D. Historical roots of psychopathology. Front Psychol. 2016; 7: 905. [CrossRef]
  5. Heckers S. Future in psychopathology research. Schizophr Bull. 2014; 40: S147-S151. [CrossRef]
  6. Stanghellini G, Broome MR. Psychopathology as the basic science of psychiatry. Br J Psychiatry. 2014; 205: 169-170. [CrossRef]
  7. Davies G. Sims' symptoms in the mind: An introduction to descriptive psychopathology. 4th ed. Br J Psychiatry. 2009; 194: 572-572. [CrossRef]
  8. Musalek M, Larach-Walters V, Lépine JP, Millet B, Gaebel W, WFSBP Task Force on Nosology and Psychopathology. Psychopathology in the 21st century. World J Biol Psychiatry. 2010; 11: 844-851. [CrossRef]
  9. Gault RH, Coleman JC. Abnormal psychology and modern life. J Crim Law Criminol Police Sci. 1951; 42: 379. [CrossRef]
  10. Ausubel DP. Personality disorder is disease. Am Psychol. 1961; 16: 69-74. [CrossRef]
  11. Goodwin DW. Psycho politics: Laing, Foucault, Goffman, Szasz and the future of mass psychiatry. Am J Psychiatry. 1983; 140: 1083. [CrossRef]
  12. Cicchetti D. Developmental psychopathology: Some thoughts on its evolution. Dev Psychopathol. 1989; 1: 1-4. [CrossRef]
  13. Wakefield JC. Disorder as harmful dysfunction: A conceptual critique of DSM-III-R's definition of mental disorder. Psychol Rev. 1992; 99: 232-247. [CrossRef]
  14. Cooper R. Diagnostic and statistical manual of mental disorders (DSM). Knowl Organ. 2018; 44: 668-676. [CrossRef]
  15. Insel TR. The NIMH research domain criteria (RDoC) project: Precision medicine for psychiatry. Am J Psychiatry. 2014; 171: 395-397. [CrossRef]
  16. Kirk SA, Kutchins H. The myth of the reliability of DSM. J Mind Behav. 1994; 15: 71-86.
  17. Markon KE, Chmielewski M, Miller CJ. The reliability and validity of discrete and continuous measures of psychopathology: A quantitative review. Psychol Bull. 2011; 137: 856-879. [CrossRef]
  18. Godwin MP, Blashfield RK. Making us crazy-DSM: The psychiatric bible and the creation of mental disorders. J Nerv Ment Dis. 1999; 187: 195-196. [CrossRef]
  19. Bury M. The medicalization of society: On the transformation of human conditions into treatable disorders-by Conrad, P. Sociol Health Illn. 2009; 31: 147-148. [CrossRef]
  20. Watts G. Critics attack DSM-5 for overmedicalising normal human behaviour. BMJ. 2012; 344: e1020. [CrossRef]
  21. Greenberg G. The book of woe: The DSM and the unmaking of psychiatry. New York: Blue Rider Press; 2013.
  22. Kaslow FW. Relational diagnosis: An idea whose time has come? Fam Process. 1993; 32: 255-259. [CrossRef]
  23. Denton WH. Issues for DSM-V: Relational diagnosis: An essential component of biopsychosocial assessment. Am J Psychiatry. 2007; 164: 1146-1147. [CrossRef]
  24. Gordon JA, Redish AD. On the cusp: Current challenges and promises in psychiatry. Cambridge, MA: The MIT Press; 2016. doi: 10.7551/mitpress/10936.003.0004. [CrossRef]
  25. Clark LA, Cuthbert B, Lewis-Fernández R, Narrow WE, Reed GM. Three approaches to understanding and classifying mental disorder: ICD-11, DSM-5, and the national institute of mental health’s research domain criteria (RDoC). Psychol Sci Public Interest. 2017; 18: 72-145. [CrossRef]
  26. Mellsop G, Janca A, León‐Andrade C, Luk DN, Chiu HF, Elder H, et al. A Sian/pacific rim psychiatrists’ views on aspects of future classifications. Asia Pac Psychiatry. 2011; 3: 228-234. [CrossRef]
  27. Murphy D. “Deviant deviance”: Cultural diversity in DSM-5. In: The DSM-5 in perspective. History, philosophy and theory of the life sciences. Dordrecht: Springer; 2015. pp. 97-110. [CrossRef]
  28. Cosgrove L, Krimsky S. A comparison of DSM-IV and DSM-5 panel members' financial associations with industry: A pernicious problem persists. PLoS Med. 2012; 9: e1001190. [CrossRef]
  29. Brown TA, Barlow DH. A proposal for a dimensional classification system based on the shared features of the DSM-IV anxiety and mood disorders: Implications for assessment and treatment. Psychol Assess. 2009; 21: 256-271. [CrossRef]
  30. Cuthbert BN, Insel TR. Toward the future of psychiatric diagnosis: The seven pillars of RDoC. BMC Med. 2013; 11: 126. [CrossRef]
  31. Conway CC, Forbes MK, Forbush KT, Fried EI, Hallquist MN, Kotov R, et al. A hierarchical taxonomy of psychopathology can transform mental health research. Perspect Psychol Sci. 2019; 14: 419-436. [CrossRef]
  32. Kotov R, Krueger RF, Watson D, Achenbach TM, Althoff RR, Bagby RM, et al. The Hierarchical Taxonomy of Psychopathology (HiTOP): A dimensional alternative to traditional nosologies. J Abnorm Psychol. 2017; 126: 454-477. [CrossRef]
  33. Wittchen HU, Jacobi F. Size and burden of mental disorders in Europe-a critical review and appraisal of 27 studies. Eur Neuropsychopharmacol. 2005; 15: 357-376. [CrossRef]
  34. Mackenzie CS, Gekoski WL, Knox VJ. Age, gender, and the underutilization of mental health services: The influence of help-seeking attitudes. Aging Ment Health. 2006; 10: 574-582. [CrossRef]
  35. Kessler RC, Demler O, Frank RG, Olfson M, Pincus HA, Walters EE, et al. Prevalence and treatment of mental disorders, 1990 to 2003. N Engl J Med. 2005; 352: 2515-2523. [CrossRef]
  36. Alonso J, Buron A, Bruffaerts R, He Y, Posada-Villa J, Lepine JP, et al. Association of perceived stigma and mood and anxiety disorders: Results from the world mental health surveys. Acta Psychiatr Scand. 2008; 118: 305-314. [CrossRef]
  37. Angermeyer MC, Matschinger H, Riedel-Heller SG. Whom to ask for help in case of a mental disorder? Preferences of the lay public. Soc Psychiatry Psychiatr Epidemiol. 1999; 34: 202-210. [CrossRef]
  38. World Health Organization. The world health report 2001: Mental health: New understanding, new hope. Geneva, Switzerland: World Health Organization; 2001.
  39. Joel D, Sathyaseelan M, Jayakaran R, Vijayakumar C, Muthurathnam S, Jacob KS. Explanatory models of psychosis among community health workers in South India. Acta Psychiatr Scand. 2003; 108: 66-69. [CrossRef]
  40. Kadri N, Manoudi F, Berrada S, Moussaoui D. Stigma impact on Moroccan families of patients with schizophrenia. Can J Psychiatry. 2004; 49: 625-629. [CrossRef]
  41. Kleinman A. Culture and depression. N Engl J Med. 2004; 351: 951-953. [CrossRef]
  42. Ng TP, Jin AZ, Ho R, Chua HC, Fones CS, Lim L. Health beliefs and help seeking for depressive and anxiety disorders among urban Singaporean adults. Psychiatr Serv. 2008; 59: 105-108. [CrossRef]
  43. Okello ES. Cultural explanatory models of depression in Uganda [Internet]. Stockholm, Sweden: Karolinska University Press; 2006. Available from: https://openarchive.ki.se/xmlui/bitstream/handle/10616/37796/thesis.pdf?sequence=1.
  44. Phillips MR, Li Y, Stroup TS, Xin L. Causes of schizophrenia reported by patients' family members in China. Br J Psychiatry. 2000; 177: 20-25. [CrossRef]
  45. Srinivasan TN, Thara R. Beliefs about causation of schizophrenia: Do Indian families believe in supernatural causes? Soc Psychiatry Psychiatr Epidemiol. 2001; 36: 134-140. [CrossRef]
  46. Zafar SN, Syed R, Tehseen S, Gowani SA, Waqar S, Zubair A, et al. Perceptions about the cause of schizophrenia and the subsequent help seeking behavior in a Pakistani population-results of a cross-sectional survey. BMC Psychiatry. 2008; 8: 56. [CrossRef]
  47. Cooke PJ, Melchert TP, Connor K. Measuring well-being: A review of instruments. Couns Psychol. 2016; 44: 730-757. [CrossRef]
  48. Keyes CLM. Toward a science of mental health. In: Oxford handbook of positive psychology. 2nd ed. Oxford, UK: Oxford University Press; 2009. pp. 89-95. [CrossRef]
  49. Singh K, Jha SD. Positive and negative affect, and grit as predictors of happiness and life satisfaction. J Indian Acad Appl Psychol. 2008; 34: 40-45.
  50. Tennant R, Hiller L, Fishwick R, Platt S, Joseph S, Weich S, et al. The Warwick-Edinburgh mental well-being scale (WEMWBS): Development and UK validation. Health Qual Life Outcomes. 2007; 5: 63. [CrossRef]
  51. Mechanic D. The truth about health care: Why reform is not working in America. New Brunswick, NJ: Rutgers University Press; 2006.
  52. Westerhof GJ, Keyes CL. Mental illness and mental health: The two continua model across the lifespan. J Adult Dev. 2010; 17: 110-119. [CrossRef]
  53. Buhler C. Meaningful living in the mature years. In: Aging and leisure. Oxford, UK: Oxford University Press; 1961. pp. 345-387.
  54. Jung CG. Modern man in search of a soul [MMSS]. New York: Harcourt Brace Jovanovich; 1955. pp. 507-520.
  55. Maslow A. Motivation and personality. New York: Harpers; 1954.
  56. Maslow A. Toward a psychology of being. D Van Nostrand. Washington, D.C.: American Psychological Association; 1962. [CrossRef]
  57. Neugarten BL, Havighurst RJ, Tobin SS. The measurement of life satisfaction. J Gerontol. 1961; 16: 134-143. [CrossRef]
  58. George LK. The happiness syndrome: Methodological and substantive issues in the study of social-psychological well-being in adulthood. Gerontologist. 1979; 19: 210-216. [CrossRef]
  59. Stones MJ, Kozma A. Issues relating to the usage and conceptualization of mental health constructs employed by gerontologists. Int J Aging Hum Dev. 1980; 11: 269-281. [CrossRef]
  60. Parmenter TR. Quality of life of people with developmental disabilities. Int Rev Res Ment Retard. 1992; 18: 247-287. [CrossRef]
  61. Edgerton RB. Quality of life from a longitudinal research perspective. In: Quality of life: Perspectives and issues. California, LA: University of California at Los Angeles; 1990. pp. 149-160.
  62. Tennant A. Quality of life-a measure too far? Ann Rheum Dis. 1995; 54: 439-440. [CrossRef]
  63. Na-Nan K, Wongwiwatthananukit S. Development and validation of a life satisfaction instrument in human resource practitioners of Thailand. J Open Innov Technol Mark Complex. 2020; 6: 75. [CrossRef]
  64. Huang CH, Wang TF, Tang FI, Chen IJ, Yu S. Desarrollo y validadción de la quality life scale para escolares de Educación Primaria. Int J Clin Health Psychol. 2017; 17: 180-191. [CrossRef]
  65. Keyes CL. The mental health continuum: From languishing to flourishing in life. J Health Soc Behav. 2002; 43: 207-222. [CrossRef]
  66. Hinkley T, Teychenne M, Downing KL, Ball K, Salmon J, Hesketh KD. Early childhood physical activity, sedentary behaviors and psychosocial well-being: A systematic review. Prev Med. 2014; 62: 182-192. [CrossRef]
  67. Beckie TM, Hayduk LA. Measuring quality of life. Soc Indic Res. 1997; 42: 21-39. [CrossRef]
  68. Diener ED, Emmons RA, Larsen RJ, Griffin S. The satisfaction with life scale. J Pers Assess. 1985; 49: 71-75. [CrossRef]
  69. Lou WV, Chi I, Mjelde-Mossey LA. Development and validation of a life satisfaction scale for Chinese elders. Int J Aging Hum Dev. 2008; 67: 149-170. [CrossRef]
  70. Schimmack U, Radhakrishnan P, Oishi S, Dzokoto V, Ahadi S. Culture, personality, and subjective well-being: Integrating process models of life satisfaction. J Pers Soc Psychol. 2002; 82: 582-593. [CrossRef]
  71. Kinderman P, Schwannauer M, Pontin E, Tai S. The development and validation of a general measure of well-being: The BBC well-being scale. Qual Life Res. 2011; 20: 1035-1042. [CrossRef]
  72. King E, De Silva M, Stein A, Patel V. Interventions for improving the psychosocial well-being of children affected by HIV and AIDS. Cochrane Database Syst Rev. 2009. doi: 10.1002/14651858.CD006733.pub2. [CrossRef]
  73. Burns RA. Psychosocial well-being. In: Encyclopedia of geropsychology. Singapore: Springer; 2016. pp. 1-8. [CrossRef]
  74. Deci EL, Ryan RM. Hedonia, eudaimonia, and well-being: An introduction. J Happiness Stud. 2008; 9: 1-11. [CrossRef]
  75. Chang M, Kim H, Shigematsu R, Nho H, Tanaka K, Nishijima T. Functional fitness may be related to life satisfaction in older Japanese adults. Int J Aging Hum Dev. 2001; 53: 35-49. [CrossRef]
  76. Robinson JG, Molzahn AE. Sexuality and quality of life. J Gerontol Nurs. 2007; 33: 19-29. [CrossRef]
  77. Briscoe M. The sense of well-being in America. Recent patterns and trends. By A. Campbell. (pp. 263; illustrated; £ 10.50.). McGraw-Hill: New York. 1981. Psychol Med. 1982; 12: 436-437. [CrossRef]
  78. Argyle M, Lu L. The happiness of extraverts. Pers Individ Dif. 1990; 11: 1011-1017. [CrossRef]
  79. Cummins RA, Nistico H. Maintaining life satisfaction: The role of positive cognitive bias. J Happiness Stud. 2002; 3: 37-69. [CrossRef]
  80. Liu H, Li S, Feldman MW. Gender in marriage and life satisfaction under gender imbalance in China: The role of intergenerational support and SES. Soc Indic Res. 2013; 114: 915-933. [CrossRef]
  81. Næss S, Blekesaune M, Jakobsson N. Marital transitions and life satisfaction: Evidence from longitudinal data from Norway. Acta Sociol. 2015; 58: 63-78. [CrossRef]
  82. Woloski-Wruble AC, Oliel Y, Leefsma M, Hochner-Celnikier D. Sexual activities, sexual and life satisfaction, and successful aging in women. J Sex Med. 2010; 7: 2401-2410. [CrossRef]
  83. Moin V, Duvdevany I, Mazor D. Sexual identity, body image and life satisfaction among women with and without physical disability. Sex Disabil. 2009; 27: 83-95. [CrossRef]
  84. Amah OE. Job satisfaction and turnover intention relationship: The moderating effect of job role centrality and life satisfaction. Res Pract Hum Resour Manag. 2009; 17: 24-35.
  85. Boyce CJ, Brown GD, Moore SC. Money and happiness: Rank of income, not income, affects life satisfaction. Psychol Sci. 2010; 21: 471-475. [CrossRef]
  86. Loewe N, Bagherzadeh M, Araya-Castillo L, Thieme C, Batista-Foguet JM. Life domain satisfactions as predictors of overall life satisfaction among workers: Evidence from Chile. Soc Indic Res. 2014; 118: 71-86. [CrossRef]
  87. Powdthavee N, Lekfuangfu WN, Wooden M. What's the good of education on our overall quality of life? A simultaneous equation model of education and life satisfaction for Australia. J Behav Exp Econ. 2015; 54: 10-21. [CrossRef]
  88. Proto E, Rustichini A. Life satisfaction, income and personality. J Econ Psychol. 2015; 48: 17-32. [CrossRef]
  89. Sirgy MJ. The psychology of quality of life: Hedonic well-being, life satisfaction, and eudaimonia. Dordrecht: Springer; 2012. [CrossRef]
  90. Wright TA, Bonett DG. Job satisfaction and psychological well-being as nonadditive predictors of workplace turnover. J Manage. 2007; 33: 141-160. [CrossRef]
  91. Yang JW, Suh C, Lee CK, Son BC. The work-life balance and psychosocial well-being of South Korean workers. Ann Occup Environ Med. 2018; 30: 38. [CrossRef]
  92. Ryff CD, Singer B. Interpersonal flourishing: A positive health agenda for the new millennium. In: Personality and social psychology at the interface. London: Psychology Press; 2014. pp. 30-44. [CrossRef]
  93. Keyes CL, Shmotkin D, Ryff CD. Optimizing well-being: The empirical encounter of two traditions. J Pers Soc Psychol. 2002; 82: 1007-1022. [CrossRef]
  94. Diener E, Lucas RE, Oishi S. Subjective well-being: The science of happiness and life satisfaction. In: The Oxford Handbook of Positive Psychology. Oxford, UK: Oxford University Press; 2002. pp. 63-73. [CrossRef]
  95. Kiefer RA. An integrative review of the concept of well-being. Holist Nurs Pract. 2008; 22: 244-252. [CrossRef]
  96. Linley PA, Maltby J, Wood AM, Osborne G, Hurling R. Measuring happiness: The higher order factor structure of subjective and psychological well-being measures. Pers Individ Dif. 2009; 47: 878-884. [CrossRef]
  97. Tsang KL, Wong PY, Lo SK. Assessing psychosocial well-being of adolescents: A systematic review of measuring instruments. Child Care Health Dev. 2012; 38: 629-646. [CrossRef]
  98. Boon HJ, Cottrell A, King D, Stevenson RB, Millar J. Bronfenbrenner’s bioecological theory for modelling community resilience to natural disasters. Nat Hazards. 2012; 60: 381-408. [CrossRef]
  99. Park SY, Baek YM. Two faces of social comparison on Facebook: The interplay between social comparison orientation, emotions, and psychological well-being. Comput Human Behav. 2018; 79: 83-93. [CrossRef]
  100. Ross CE. Neighborhood disadvantage and adult depression. J Health Soc Behav. 2000; 41: 177-187. [CrossRef]
  101. Turner RJ, Wheaton B, Lloyd DA. The epidemiology of social stress. Am Sociol Rev. 1995; 60: 104-125. [CrossRef]
  102. Dohrenwend BP. The role of adversity and stress in psychopathology: Some evidence and its implications for theory and research. J Health Soc Behav. 2000; 41: 1-19. [CrossRef]
  103. Holmes TH, Rahe RH. The social readjustment rating scale. J Psychosom Res. 1967; 11: 213-218. [CrossRef]
  104. House JS, Umberson D, Landis KR. Structures and processes of social support. Annu Rev Sociol. 1988; 14: 293-318. [CrossRef]
  105. Thoits PA, Hewitt LN. Volunteer work and well-being. J Health Soc Behav. 2001; 42: 115-131. [CrossRef]
  106. Albanesi C, Cicognani E, Zani B. Sense of community, civic engagement and social well-being in Italian adolescents. J Community Appl Soc Psychol. 2007; 17: 387-406. [CrossRef]
  107. Ross CE. Social causes of psychological distress. New York: Routledge; 2017.
  108. Reer F, Tang WY, Quandt T. Psychosocial well-being and social media engagement: The mediating roles of social comparison orientation and fear of missing out. New Media Soc. 2019; 21: 1486-1505. [CrossRef]
  109. Moreira-Almeida A, Lotufo Neto F, Koenig HG. Religiousness and mental health: A review. Braz J Psychiatry. 2006; 28: 242-250. [CrossRef]
  110. Pargament KI, Koenig HG, Perez LM. The many methods of religious coping: Development and initial validation of the RCOPE. J Clin Psychol. 2000; 56: 519-543. [CrossRef]
  111. Rew L, Wong YJ. A systematic review of associations among religiosity/spirituality and adolescent health attitudes and behaviors. J Adolesc Health. 2006; 38: 433-442. [CrossRef]
  112. Soydemir GA, Bastida E, Gonzalez G. The impact of religiosity on self-assessments of health and happiness: Evidence from the US Southwest. Appl Econ. 2004; 36: 665-672. [CrossRef]
  113. Swinyard WR, Kau AK, Phua HY. Happiness, materialism, and religious experience in the US and Singapore. J Happiness Stud. 2001; 2: 13-32. [CrossRef]
  114. Larson DB, Larson SS. Spirituality's potential relevance to physical and emotional health: A brief review of quantitative research. J Psychol Theol. 2003; 31: 37-51. [CrossRef]
  115. Chatters LM. Religion and health: Public health research and practice. Annu Rev Public Health. 2000; 21: 335-367. [CrossRef]
  116. Ferriss AL. Religion and the quality of life. J Happiness Stud. 2002; 3: 199-215. [CrossRef]
  117. Greene KV, Yoon BJ. Religiosity, economics and life satisfaction. Rev Soc Econ. 2004; 62: 245-261. [CrossRef]
  118. Hackney CH, Sanders GS. Religiosity and mental health: A meta-analysis of recent studies. J Sci Study Relig. 2003; 42: 43-55. [CrossRef]
  119. Hill PC, Pargament KI. Advances in the conceptualization and measurement of religion and spirituality: Implications for physical and mental health research. Am Psychol. 2003; 58: 64-74. [CrossRef]
  120. Koenig HG. Religion, spirituality, and health: The research and clinical implications. Int Sch Res Notices. 2012; 2012: 278730. [CrossRef]
  121. Lucchetti G, Lucchetti AG, Badan-Neto A, Peres PT, Peres MF, Moreira-Almeida A, et al. Religiousness affects mental health, pain and quality of life in older people in an outpatient rehabilitation setting. J Rehabil Med. 2011; 43: 316-322. [CrossRef]
  122. Maselko J, Kubzansky LD. Gender differences in religious practices, spiritual experiences and health: Results from the US general social survey. Soc Sci Med. 2006; 62: 2848-2860. [CrossRef]
  123. Kammann R, Flett R. Affectometer 2: A scale to measure current level of general happiness. Aust J Psychol. 1983; 35: 259-265. [CrossRef]
  124. Shacham S. A shortened version of the profile of mood states. J Pers Assess. 1983; 47: 305-306. [CrossRef]
  125. Hunt SM, McEwen J, McKenna SP. Measuring health status: A new tool for clinicians and epidemiologists. J R Coll Gen Pract. 1985; 35: 185-188.
  126. Kellner R. A symptom questionnaire. J Clin Psychiatry. 1987; 48: 268-274.
  127. Goldberg DP. A user's guide to the general health questionnaire/David Goldberg and Paul Williams [Internet]. Windsor, Berks: NFER-Nelson; 1988. Available from: https://trove.nla.gov.au/work/18049508?selectedversion=NBD7117456.
  128. Fordyce MW. A review of research on the happiness measures: A sixty second index of happiness and mental health. Soc Indic Res. 1988; 20: 355-381. [CrossRef]
  129. Watson D, Clark LA, Tellegen A. Development and validation of brief measures of positive and negative affect: The PANAS scales. J Pers Soc Psychol. 1988; 54: 1063-1070. [CrossRef]
  130. Stewart AL, Hays RD, Ware Jr JE. The MOS short-form general health survey: Reliability and validity in a patient population. Med Care. 1988; 26: 724-735. [CrossRef]
  131. Sintonen H, Pekurinen M. A generic 15 dimensional measure of health-related quality of life (15D). J Soc Med. 1989; 26: 85-96.
  132. Tibblin G, Tibblin B, Peciva S, Kullman S, Svärdsudd K. "The Göteborg quality of life instrument"-an assessment of well-being and symptoms among men born 1913 and 1923. Methods and validity. Scand J Prim Health Care Suppl. 1990; 1: 33-38.
  133. Kass JD, Friedman R, Leserman J, Caudill M, Zuttermeister PC, Benson H. An inventory of positive psychological attitudes with potential relevance to health outcomes: Validation and preliminary testing. Behav Med. 1991; 17: 121-129. [CrossRef]
  134. Fugl-Meyer AR, Bränholm IB, Fugl-Meyer KS. Happiness and domain-specific life satisfaction in adult northern Swedes. Clin Rehabil. 1991; 5: 25-33. [CrossRef]
  135. Kemp BJ, Adams BM. The older adult health and mood questionnaire: A measure of geriatric depressive disorder. J Geriatr Psychiatry Neurol. 1995; 8: 162-167. [CrossRef]
  136. Snaith RP, Hamilton M, Morley S, Humayan A, Hargreaves D, Trigwell P. A scale for the assessment of hedonic tone the Snaith-Hamilton pleasure scale. Br J Psychiatry. 1995; 167: 99-103. [CrossRef]
  137. Lu L, Shih JB. Personality and happiness: Is mental health a mediator? Pers Individ Dif. 1997; 22: 249-256. [CrossRef]
  138. Kaplan RM, Sieber WJ, Ganiats TG. The quality of well-being scale: Comparison of the interviewer-administered version with a self-administered questionnaire. Psychol Health. 1997; 12: 783-791. [CrossRef]
  139. Ruch W, Köhler G, Van Thriel C. To be in good or bad humour: Construction of the state form of the state-trait-cheerfulness-inventory-STCI. Pers Individ Dif. 1997; 22: 477-491. [CrossRef]
  140. Ryan RM, Frederick C. On energy, personality, and health: Subjective vitality as a dynamic reflection of well-being. J Pers. 1997; 65: 529-565. [CrossRef]
  141. Pavot W, Diener E, Suh E. The temporal satisfaction with life scale. J Pers Assess. 1998; 70: 340-354. [CrossRef]
  142. Hawthorne G, Richardson J, Osborne R. The assessment of quality of life (AQoL) instrument: A psychometric measure of health-related quality of life. Qual Life Res. 1999; 8: 209-224. [CrossRef]
  143. Lyubomirsky S, Lepper HS. A measure of subjective happiness: Preliminary reliability and construct validation. Soc Indic Res. 1999; 46: 137-155. [CrossRef]
  144. Henrich G, Herschbach P. Questions on life satisfaction (FLZM): A short questionnaire for assessing subjective quality of life. Eur J Psychol Assess. 2000; 16: 150-159. [CrossRef]
  145. Patrick CJ, Curtin JJ, Tellegen A. Development and validation of a brief form of the multidimensional personality questionnaire. Psychol Assess. 2002; 14: 150-163. [CrossRef]
  146. Hills P, Argyle M. The Oxford happiness questionnaire: A compact scale for the measurement of psychological well-being. Pers Individ Dif. 2002; 33: 1073-1082. [CrossRef]
  147. Gagné M. The role of autonomy support and autonomy orientation in prosocial behavior engagement. Motiv Emot. 2003; 27: 199-223. [CrossRef]
  148. Hyde M, Wiggins RD, Higgs P, Blane DB. A measure of quality of life in early old age: The theory, development and properties of a needs satisfaction model (CASP-19). Aging Ment Health. 2003; 7: 186-194. [CrossRef]
  149. Joseph S, Linley PA, Harwood J, Lewis CA, McCollam P. Rapid assessment of well-being: The short depression-happiness scale (SDHS). Psychol Psychother. 2004; 77: 463-478. [CrossRef]
  150. Mills PR. The development of a new corporate specific health risk measurement instrument, and its use in investigating the relationship between health and well-being and employee productivity. Environ Health. 2005; 4: 1. [CrossRef]
  151. Peterson C, Park N, Seligman ME. Orientations to happiness and life satisfaction: The full life versus the empty life. J Happiness Stud. 2005; 6: 25-41. [CrossRef]
  152. Nieboer A, Lindenberg S, Boomsma A, Bruggen AC. Dimensions of well-being and their measurement: The SPF-IL scale. Soc Indic Res. 2005; 73: 313-353. [CrossRef]
  153. Gueldner SH, Michel Y, Bramlett MH, Liu CF, Johnston LW, Endo E, et al. The well-being picture scale: A revision of the index of field energy. Nurs Sci Q. 2005; 18: 42-50. [CrossRef]
  154. Steger MF, Frazier P, Oishi S, Kaler M. The meaning in life questionnaire: Assessing the presence of and search for meaning in life. J Couns Psychol. 2006; 53: 80-93. [CrossRef]
  155. Grossi E, Groth N, Mosconi P, Cerutti R, Pace F, Compare A, et al. Development and validation of the short version of the psychological general well-being index (PGWB-S). Health Qual Life Outcomes. 2006; 4: 88. [CrossRef]
  156. Schmidt S, Mühlan H, Power M. The EUROHIS-QOL 8-item index: Psychometric results of a cross-cultural field study. Eur J Public Health. 2006; 16: 420-428. [CrossRef]
  157. Paterson C, Thomas K, Manasse A, Cooke H, Peace G. Measure yourself concerns and wellbeing (MYCaW): An individualised questionnaire for evaluating outcome in cancer support care that includes complementary therapies. Complement Ther Med. 2007; 15: 38-45. [CrossRef]
  158. Stewart-Brown S, Tennant A, Tennant R, Platt S, Parkinson J, Weich S. Internal construct validity of the Warwick-Edinburgh mental well-being scale (WEMWBS): A Rasch analysis using data from the Scottish health education population survey. Health Qual Life Outcomes. 2009; 7: 15. [CrossRef]
  159. Bringsén Å, Andersson HI, Ejlertsson G. Development and quality analysis of the Salutogenic health indicator scale (SHIS). Scand J Public Health. 2009; 37: 13-19. [CrossRef]
  160. Diener E, Wirtz D, Tov W, Kim-Prieto C, Choi DW, Oishi S, et al. New well-being measures: Short scales to assess flourishing and positive and negative feelings. Soc Indic Res. 2010; 97: 143-156. [CrossRef]
  161. Al-Janabi H, N Flynn T, Coast J. Development of a self-report measure of capability wellbeing for adults: The ICECAP-A. Qual Life Res. 2012; 21: 167-176. [CrossRef]
  162. Pontin E, Schwannauer M, Tai S, Kinderman P. A UK validation of a general measure of subjective well-being: The modified BBC subjective well-being scale (BBC-SWB). Health Qual Life Outcomes. 2013; 11: 150. [CrossRef]
  163. Şimşek ÖF, Kocayörük E. Affective reactions to one’s whole life: Preliminary development and validation of the ontological well-being scale. J Happiness Stud. 2013; 14: 309-343. [CrossRef]
  164. Supranowicz P, Paz M. Holistic measurement of well-being: Psychometric properties of the physical, mental and social well-being scale (PMSW-21) for adults. Rocz Panstw Zakl Hig. 2014; 65: 251-258.
  165. Joseph S, Maltby J. Positive functioning inventory: Initial validation of a 12-item self-report measure of well-being. Psychol Well Being. 2014; 4: 15. [CrossRef]
  166. Evers KE, Castle PH, Fernandez AC, Prochaska JO, Prochaska JM, Paiva AL. The functional well-being scale: A measure of functioning loss due to well-being-related barriers. J Health Psychol. 2015; 20: 113-120. [CrossRef]
  167. Prilleltensky I, Dietz S, Prilleltensky O, Myers ND, Rubenstein CL, Jin Y, et al. Assessing multidimensional well-being: Development and validation of the I COPPE scale. J Community Psychol. 2015; 43: 199-226. [CrossRef]
  168. Şimşek ÖF. An intentional model of emotional well-being: The development and initial validation of a measure of subjective well-being. J Happiness Stud. 2011; 12: 421-442. [CrossRef]
  169. Hungelmann J, Kenkel-Rossi E, Klassen L, Stollenwerk R. Focus on spiritual well-being: Harmonious interconnectedness of mind-body-spirit-use of the JAREL spiritual well-being scale. Geriatr Nurs. 1996; 6: 262-266. [CrossRef]
  170. Keyes CLM. Social well-being. Soc Psychol Q. 1998; 61: 121-140. [CrossRef]
  171. Zuckerman M, Lubin B, Rinck CM. Construction of new scales for the multiple affect adjective check list. J Behav Assess. 1983; 5: 119-129. [CrossRef]
  172. Ferrans CE, Powers MJ. Quality of life index: Development and psychometric properties. ANS Adv Nurs Sci. 1985; 8: 15-24. [CrossRef]
  173. Frisch MB, Cornell J, Villanueva M, Retzlaff PJ. Clinical validation of the quality of life inventory. A measure of life satisfaction for use in treatment planning and outcome assessment. Psychol Assess. 1992; 4: 92-101. [CrossRef]
  174. Ryff CD, Keyes CL. The structure of psychological well-being revisited. J Pers Soc Psychol. 1995; 69: 719-727. [CrossRef]
  175. Adams T, Bezner J, Steinhardt M. The conceptualization and measurement of perceived wellness: Integrating balance across and within dimensions. Am J Health Promot. 1997; 11: 208-218. [CrossRef]
  176. Vella-Brodrick DA, Allen FC. Development and psychometric validation of the mental, physical, and spiritual well-being scale. Psychol Rep. 1995; 77: 659-674. [CrossRef]
  177. Ventegodt S, Merrick J, Andersen NJ. Measurement of quality of life III. From the IQOL theory to the global, generic SEQOL questionnaire. Sci World J. 2003; 3: 972-991. [CrossRef]
  178. Gomez R, Fisher JW. Domains of spiritual well-being and development and validation of the spiritual well-being questionnaire. Pers Individ Dif. 2003; 35: 1975-1991. [CrossRef]
  179. Daaleman TP, Frey BB. The spirituality index of well-being: A new instrument for health-related quality-of-life research. Ann Fam Med. 2004; 2: 499-503. [CrossRef]
  180. Seligman ME, Steen TA, Park N, Peterson C. Positive psychology progress: Empirical validation of interventions. Am Psychol. 2005; 60: 410-421. [CrossRef]
  181. Lau AL, Cummins RA, Mcpherson W. An investigation into the cross-cultural equivalence of the personal wellbeing index. Soc Indic Res. 2005; 72: 403-430. [CrossRef]
  182. Delaney C. The spirituality scale: Development and psychometric testing of a holistic instrument to assess the human spiritual dimension. J Holist Nurs. 2005; 23: 145-167. [CrossRef]
  183. Keyes CL. The subjective well-being of America's youth: Toward a comprehensive assessment. Adolesc Fam Health. 2006; 4: 3-11.
  184. Steinhauser KE, Voils CI, Clipp EC, Bosworth HB, Christakis NA, Tulsky JA. “Are you at peace?”: One item to probe spiritual concerns at the end of life. Arch Intern Med. 2006; 166: 101-105. [CrossRef]
  185. Katerndahl D, Oyiriaru D. Assessing the biopsychosociospiritual model in primary care: Development of the biopsychosociospiritual inventory (BioPSSI). Int J Psychiatry Med. 2007; 37: 393-414. [CrossRef]
  186. Kreitzer MJ, Gross CR, Waleekhachonloet OA, Reilly-Spong M, Byrd M. The brief serenity scale: A psychometric analysis of a measure of spirituality and well-being. J Holist Nurs. 2009; 27: 7-16. [CrossRef]
  187. Wilson KG, Sandoz EK, Kitchens J, Roberts M. The valued living questionnaire: Defining and measuring valued action within a behavioral framework. Psychol Rec. 2010; 60: 249-272. [CrossRef]
  188. Waterman AS, Schwartz SJ, Zamboanga BL, Ravert RD, Williams MK, Bede Agocha V, et al. The questionnaire for Eudaimonic well-being: Psychometric properties, demographic comparisons, and evidence of validity. J Posit Psychol. 2010; 5: 41-61. [CrossRef]
  189. Mezzich JE, Cohen NL, Ruiperez MA, Banzato CE, Zapata-Vega MI. The multicultural quality of life index: Presentation and validation. J Eval Clin Pract. 2011; 17: 357-364. [CrossRef]
  190. Vaingankar JA, Subramaniam M, Chong SA, Abdin E, Orlando Edelen M, Picco L, et al. The positive mental health instrument: Development and validation of a culturally relevant scale in a multi-ethnic Asian population. Health Qual Life Outcomes. 2011; 9: 92. [CrossRef]
  191. Schulenberg SE, Schnetzer LW, Buchanan EM. The purpose in life test-short form: Development and psychometric support. J Happiness Stud. 2011; 12: 861-876. [CrossRef]
  192. Bann CM, Kobau R, Lewis MA, Zack MM, Luncheon C, Thompson WW. Development and psychometric evaluation of the public health surveillance well-being scale. Qual Life Res. 2012; 21: 1031-1043. [CrossRef]
  193. Skevington SM, Gunson KS, O’connell KA. Introducing the WHOQOL-SRPB BREF: Developing a short-form instrument for assessing spiritual, religious and personal beliefs within quality of life. Qual Life Res. 2013; 22: 1073-1083. [CrossRef]
  194. Husain W, Kiran A, Qasim U, Gul S, Iftikhar J. Measuring sexual intelligence for evaluating sexual health. Psychol Rep. 2023. doi: 10.1177/00332941231152388. [CrossRef]
  195. Husain W, Inam A, Wasif S, Zaman S. Emotional intelligence: Emotional expression and emotional regulation for intrinsic and extrinsic emotional satisfaction. Psychol Res Behav Manag. 2022; 15: 3901-3913. [CrossRef]
  196. Husain W, Riasat A. Attitudes toward mental health and psychotherapy: Variations by gender, age, education, marriage, profession and income. J Intern Med. 2022; 3: 28-35. [CrossRef]
  197. Husain W, Faize FA. Public awareness of psychological problems in Pakistan. Ment Health Rev J. 2020; 25: 35-45. [CrossRef]
  198. Husain W. Barriers in seeking psychological help: Public perception in Pakistan. Community Ment Health J. 2020; 56: 75-78. [CrossRef]
  199. Husain W. Prevalent tendencies for mental disorders in Pakistan. Clin Salud. 2018; 29: 34-38. [CrossRef]
  200. Husain W, Gulzar A, Tofail S. How pakistanis cope with stress? Pak Perspect. 2016; 21: 189-206.
  201. Husain W. It's time to translate the Quranic words, Nafs & Qalb as referring to mind & intelligence. Islamiyyat. 2022; 44: 77-95. [CrossRef]
  202. Kessler RC, Andrews G, Colpe LJ, Hiripi E, Mroczek DK, Normand SL, et al. Short screening scales to monitor population prevalences and trends in non-specific psychological distress. Psychol Med. 2002; 32: 959-976. [CrossRef]
  203. Cook DA, Beckman TJ. Current concepts in validity and reliability for psychometric instruments: Theory and application. Am J Med. 2006; 119: 166.e7-166.e16. [CrossRef]
  204. DeVon HA, Block ME, Moyle-Wright P, Ernst DM, Hayden SJ, Lazzara DJ, et al. A psychometric toolbox for testing validity and reliability. J Nurs Scholarsh. 2007; 39: 155-164. [CrossRef]
  205. Kaiser HF. An index of factorial simplicity. Psychometrika. 1974; 39: 31-36. [CrossRef]
  206. Bartlett MS. Tests of significance in factor analysis. Br J Psychol. 1950; 3: 77-85. [CrossRef]
  207. Osborne JW, Costello AB, Kellow JT. Best practices in exploratory factor analysis. In: Best practices in quantitative methods. Sauzend Oaks, CA: Sage; 2008. pp. 86-99. [CrossRef]
  208. Drost EA. Validity and reliability in social science research. Educ Res Perspect. 2011; 38: 105-123.
  209. Wong KL, Ong SF, Kuek TY. Constructing a survey questionnaire to collect data on service quality of business academics. Eur J Soc Sci. 2012; 29: 209-221.
  210. Litwin M. How to measure survey reliability and validity. Newcastle on Tyne, UK: SAGE Publication, Inc.; 1995. [CrossRef]
  211. DeVellis RF. Scale development: Theory and applications. Thousand Oaks: Sage; 2016.
  212. Engel GL. The need for a new medical model: A challenge for biomedicine. Science. 1977; 196: 129-136. [CrossRef]
  213. Kolb LC. Research and its support under the national mental health act. Am J Psychiatry. 1949; 106: 407-412. [CrossRef]
  214. Clausen JA. Social science research in the national mental health program. Am Sociol Rev. 1950; 15: 402-409. [CrossRef]
  215. Menninger K. The vital balance. New York: Viking Press; 1963.
  216. Mulhall J, King R, Glina S, Hvidsten K. Importance of and satisfaction with sex among men and women worldwide: Results of the global better sex survey. J Sex Med. 2008; 5: 788-795. [CrossRef]
  217. Wylie KR. A sense of well-being from good sex. Sex Relatsh Ther. 2004; 19: 3-4. [CrossRef]
  218. Diener E, Chan MY. Happy people live longer: Subjective well-being contributes to health and longevity. Appl Psychol Health Well Being. 2011; 3: 1-43. [CrossRef]
  219. Sternberg RJ. Images of mindfulness. J Soc Issues. 2000; 56: 11-26. [CrossRef]
  220. Webster AS, Wechsler D. The measurement and appraisal of adult intelligence. J Crim Law Criminol Police Sci. 1958; 49: 362. [CrossRef]
  221. Bergin AE, Jensen JP. Religiosity of psychotherapists: A national survey. Psychotherapy. 1990; 27: 3-7. [CrossRef]
  222. Argyle M. Psychology and religion: An introduction. London, UK: Routledge; 1995.
  223. Curlin FA, Lawrence RE, Odell S, Chin MH, Lantos JD, Koenig HG, et al. Religion, spirituality, and medicine: Psychiatrists’ and other physicians’ differing observations, interpretations, and clinical approaches. Am J Psychiatry. 2007; 164: 1825-1831. [CrossRef]
  224. Curlin FA, Odell SV, Lawrence RE, Chin MH, Lantos JD, Meador KG, et al. The relationship between psychiatry and religion among US physicians. Psychiatr Serv. 2007; 58: 1193-1198. [CrossRef]
  225. Huguelet P, Mohr S, Betrisey C, Borras L, Gillieron C, Marie AM, et al. A randomized trial of spiritual assessment of outpatients with schizophrenia: Patients' and clinicians' experience. Psychiatr Serv. 2011; 62: 79-86. [CrossRef]
  226. Amaro H, Magno-Gatmaytan C, Meléndez M, Cortés DE, Arevalo S, Margolin A. Addiction treatment intervention: An uncontrolled prospective pilot study of spiritual self-schema therapy with Latina women. Subst Abus. 2010; 31: 117-125. [CrossRef]
  227. Koszycki D, Raab K, Aldosary F, Bradwejn J. A multifaith spiritually based intervention for generalized anxiety disorder: A pilot randomized trial. J Clin Psychol. 2010; 66: 430-441. [CrossRef]
  228. Mohr S, Borras L, Betrisey C, Pierre-Yves B, Gilliéron C, Huguelet P. Delusions with religious content in patients with psychosis: How they interact with spiritual coping. Psychiatry. 2010; 73: 158-172. [CrossRef]
  229. Koenig HG. Research on religion, spirituality, and mental health: A review. Can J Psychiatry. 2009; 54: 283-291. [CrossRef]
  230. Lewis CA, Maltby J, Day L. Religious orientation, religious coping and happiness among UK adults. Pers Individ Dif. 2005; 38: 1193-1202. [CrossRef]
  231. Miller RB, Yorgason JB, Sandberg JG, White MB. Problems that couples bring to therapy: A view across the family life cycle. Am J Fam Ther. 2003; 31: 395-407. [CrossRef]
  232. Ball J, Armistead L, Austin BJ. The relationship between religiosity and adjustment among African-American, female, urban adolescents. J Adolesc. 2003; 26: 431-446. [CrossRef]
  233. George LK, Ellison CG, Larson DB. Explaining the relationships between religious involvement and health. Psychol Inq. 2002; 13: 190-200. [CrossRef]
  234. Harris SJ. Religiosity and psychological well-being among older adults: A meta-analysis. Ann Arbor, MI: ProQuest Information and Learning; 2002.
  235. Jimenez T, Bultmann MN, Arndt J. Religion and health: Building existential bridges. In: The science of religion, spirituality, and existentialism. Cambridge, MA: Academic Press; 2020. pp. 455-468. [CrossRef]
  236. Abdel-Khalek AM. Age and sex differences for anxiety in relation to family size, birth order, and religiosity among Kuwaiti adolescents. Psychol Rep. 2002; 90: 1031-1036. [CrossRef]
  237. Abdel-Khalek AM. Happiness, health, and religiosity: Significant relations. Ment Health Relig Cult. 2006; 9: 85-97. [CrossRef]
  238. Abdel-Khalek AM. Religiosity, happiness, health, and psychopathology in a probability sample of Muslim adolescents. Ment Health Relig Cult. 2007; 10: 571-583. [CrossRef]
  239. Abdel-Khalek AM. Religiosity, health, and well-being among Kuwaiti personnel. Psychol Rep. 2008; 102: 181-184. [CrossRef]
  240. Abdel-Khalek AM. Religiosity, subjective well-being, and depression in Saudi children and adolescents. Ment Health Relig Cult. 2009; 12: 803-815. [CrossRef]
  241. Abdel-Khalek AM. Religiosity, subjective well-being, and neuroticism. Ment Health Relig Cult. 2010; 13: 67-79. [CrossRef]
  242. Abdel-Khalek AM, Lester D. Religiosity, health, and psychopathology in two cultures: Kuwait and USA. Ment Health Relig Cult. 2007; 10: 537-550. [CrossRef]
  243. Abdel-Khalek AM, Lester D. A significant association between religiosity and happiness in a sample of Kuwaiti students. Psychol Rep. 2009; 105: 381-382. [CrossRef]
  244. Abdel-Khalek AM, Naceur F. Religiosity and its association with positive and negative emotions among college students from Algeria. Ment Health Relig Cult. 2007; 10: 159-170. [CrossRef]
  245. Weber SR, Pargament KI. The role of religion and spirituality in mental health. Curr Opin Psychiatry. 2014; 27: 358-363. [CrossRef]
  246. Sedikides C. Why does religiosity persist? Pers Soc Psychol Rev. 2010; 14: 3-6. [CrossRef]
  247. Dülmer H. Modernization, culture and morality in Europe: Universalism, contextualism or relativism? In: Value contrasts and consensus in present-day Europe. Leiden, Netherlands: Brill; 2014. pp. 251-276. [CrossRef]
  248. Halman L, Gelissen J. Values in life domains in a cross-national perspective. Kolner Z Soz Sozpsychol. 2019; 71: 519-543. [CrossRef]
  249. Benson PL, Roehlkepartain EC, Rude SP. Spiritual development in childhood and adolescence: Toward a field of inquiry. In: Beyond the self. London, UK: Routledge; 2019. pp. 205-213. [CrossRef]
  250. Horberg EJ, Oveis C, Keltner D, Cohen AB. Disgust and the moralization of purity. J Pers Soc Psychol. 2009; 97: 963-976. [CrossRef]
  251. Krebs DL. Morality: An evolutionary account. Perspect Psychol Sci. 2008; 3: 149-172. [CrossRef]
  252. Van Vugt M, Hart CM. Social identity as social glue: The origins of group loyalty. J Pers Soc Psychol. 2004; 86: 585-598. [CrossRef]
  253. Okan N, Ekşi H. Spirituality in logotherapy. Spiritual Psychol Couns. 2017; 2: 143-164. [CrossRef]
  254. Rudaz M, Ledermann T, Grzywacz JG. The influence of daily spiritual experiences and gender on subjective well-being over time in cancer survivors. Arch Psychol Relig. 2019; 41: 159-171. [CrossRef]
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