Generic selectors
Exact matches only
Search in title
Search in content
Post Type Selectors
Search in posts
Search in pages
Filter by Categories
Author’ response
Author’s reply
Authors' response
Authors#x2019; response
Book Received
Book Review
Book Reviews
Centenary Review Article
Clinical Image
Clinical Images
Commentary
Communicable Diseases - Original Articles
Correspondence
Correspondence, Letter to Editor
Correspondences
Correspondences & Authors’ Responses
Corrigendum
Critique
Current Issue
Editorial
Errata
Erratum
Health Technology Innovation
IAA CONSENSUS DOCUMENT
Innovations
Letter to Editor
Malnutrition & Other Health Issues - Original Articles
Media & News
Notice of Retraction
Obituary
Original Article
Original Articles
Perspective
Perspectives
Policy
Policy Document
Policy Guidelines
Policy, Review Article
Policy: Correspondence
Policy: Editorial
Policy: Mapping Review
Policy: Original Article
Policy: Perspective
Policy: Process Paper
Policy: Scoping Review
Policy: Special Report
Policy: Systematic Review
Policy: Viewpoint
Practice
Practice: Authors’ response
Practice: Book Review
Practice: Clinical Image
Practice: Commentary
Practice: Correspondence
Practice: Letter to Editor
Practice: Obituary
Practice: Original Article
Practice: Pages From History of Medicine
Practice: Perspective
Practice: Review Article
Practice: Short Note
Practice: Short Paper
Practice: Special Report
Practice: Student IJMR
Practice: Systematic Review
Pratice, Original Article
Pratice, Review Article
Pratice, Short Paper
Programme
Programme, Correspondence, Letter to Editor
Programme: Commentary
Programme: Correspondence
Programme: Editorial
Programme: Original Article
Programme: Originial Article
Programme: Perspective
Programme: Rapid Review
Programme: Review Article
Programme: Short Paper
Programme: Special Report
Programme: Status Paper
Programme: Systematic Review
Programme: Viewpoint
Protocol
Research Correspondence
Retraction
Review Article
Short Paper
Special Opinion Paper
Special Report
Special Section Nutrition & Food Security
Status Paper
Status Report
Strategy
Student IJMR
Systematic Article
Systematic Review
Systematic Review & Meta-Analysis
Viewpoint
White Paper
Generic selectors
Exact matches only
Search in title
Search in content
Post Type Selectors
Search in posts
Search in pages
Filter by Categories
Author’ response
Author’s reply
Authors' response
Authors#x2019; response
Book Received
Book Review
Book Reviews
Centenary Review Article
Clinical Image
Clinical Images
Commentary
Communicable Diseases - Original Articles
Correspondence
Correspondence, Letter to Editor
Correspondences
Correspondences & Authors’ Responses
Corrigendum
Critique
Current Issue
Editorial
Errata
Erratum
Health Technology Innovation
IAA CONSENSUS DOCUMENT
Innovations
Letter to Editor
Malnutrition & Other Health Issues - Original Articles
Media & News
Notice of Retraction
Obituary
Original Article
Original Articles
Perspective
Perspectives
Policy
Policy Document
Policy Guidelines
Policy, Review Article
Policy: Correspondence
Policy: Editorial
Policy: Mapping Review
Policy: Original Article
Policy: Perspective
Policy: Process Paper
Policy: Scoping Review
Policy: Special Report
Policy: Systematic Review
Policy: Viewpoint
Practice
Practice: Authors’ response
Practice: Book Review
Practice: Clinical Image
Practice: Commentary
Practice: Correspondence
Practice: Letter to Editor
Practice: Obituary
Practice: Original Article
Practice: Pages From History of Medicine
Practice: Perspective
Practice: Review Article
Practice: Short Note
Practice: Short Paper
Practice: Special Report
Practice: Student IJMR
Practice: Systematic Review
Pratice, Original Article
Pratice, Review Article
Pratice, Short Paper
Programme
Programme, Correspondence, Letter to Editor
Programme: Commentary
Programme: Correspondence
Programme: Editorial
Programme: Original Article
Programme: Originial Article
Programme: Perspective
Programme: Rapid Review
Programme: Review Article
Programme: Short Paper
Programme: Special Report
Programme: Status Paper
Programme: Systematic Review
Programme: Viewpoint
Protocol
Research Correspondence
Retraction
Review Article
Short Paper
Special Opinion Paper
Special Report
Special Section Nutrition & Food Security
Status Paper
Status Report
Strategy
Student IJMR
Systematic Article
Systematic Review
Systematic Review & Meta-Analysis
Viewpoint
White Paper
View/Download PDF

Translate this page into:

Practice: Systematic Review
156 (
2
); 291-298
doi:
10.4103/ijmr.ijmr_3206_21

A systematic review of community-based studies on mental health issues among tribal populations in India

ICMR-Regional Medical Research Centre, Bhubaneswar, Odisha, India
Department of Psychiatry, Kalinga Institute of Medical Sciences, Bhubaneswar, Odisha, India
Division of Epidemiology & Communicable Diseases, Indian Council of Medical Research, New Delhi, India
Equal contribution

For correspondence: Dr Sanghamitra Pati, ICMR-Regional Medical Research Centre, Bhubaneswar 751 023, Odisha, India e-mail: drsanghamitra12@gmail.com

Licence
This is an open access journal, and articles are distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 License, which allows others to remix, tweak, and build upon the work non-commercially, as long as appropriate credit is given and the new creations are licensed under the identical terms.
Disclaimer:
This article was originally published by Wolters Kluwer - Medknow and was migrated to Scientific Scholar after the change of Publisher.

Abstract

Background & objectives:

Globally, mental disorders are rising with increasing urbanization. India has the world’s second-largest tribal population and it is critical to appreciate the mental health problems in this population. However, the extent of mental health issues among tribal populations is unknown. Against this background, we systematically reviewed community-based studies on mental health issues among tribal populations in India.

Methods:

Online databases PubMed, Embase, ProQuest databases and Google Scholar were searched and articles published between January 1990 and May 2021 including primary community-based quantitative observational studies focused exclusively on tribal population were retrieved. PRISMA guidelines were followed and this review was registered on PROSPERO (CRD42020178099).

Results:

A total of 935 articles were identified, of which 63 were selected for full-text review, and finally, 11 studies were included. Seven studies examined alcohol use disorder with a pooled prevalence of 40 per cent. Two studies reported on suicidal attempts. A few studies mentioned anxiety, depression and other mental health conditions.

Interpretation & conclusions:

This systematic review established that a few community-based primary studies were conducted on mental health issues among tribal populations over the last three decades. Among these, fewer studies focused exclusively on tribal communities. The studies differed in their study design and the tools used. The findings of these investigations highlighted a limited range of mental health issues, primarily alcoholism, anxiety, depression and suicide.

Keywords

Aboriginal
ethnic
evidence synthesis
India
indigenous
mental illness

Mental illness is a leading cause of disability, with 450 million people affected globally1,2. In low- and middle-income countries, mental illness accounts for more than 70 per cent of the population3,4, with about 90 per cent having limited access to specialist care5,6. India faces a considerable burden with over 197 million diagnosed with one or more mental illnesses5-9. The magnitude of the problem might be different among tribal populations considering their unique and diverse living conditions – with variations in cultural beliefs and traditional healing practices10,11. Comprehensive data and an understanding of the mental health issues in tribal communities are thus critical for developing culturally acceptable mental healthcare interventions.

India has the world’s second largest tribal population. Indian tribes account for approximately 8.3 per cent of the country’s total population. There are 635 tribes in India, divided into five major tribal belts, and they inhabit hilly and plain forest regions. Mental disorders are on the rise as urbanization continues. It is therefore, critical to address healthcare needs of the tribal communities to meet the 2030 Sustainable Development Goals (SDGs). Without prioritizing and focusing on the healthcare needs of the country’s indigenous populations, achieving SDGs will be challenging12. However, the extent of mental health problems amongst tribal populations is unknown. Against this background we systematically reviewed community-based studies on mental health issues among tribal populations in India.

Material & Methods

Data sources: An online search was conducted for studies examining mental health morbidities among Indian tribal populations. Articles were searched on PubMed, Embase, ProQuest databases and Google Scholar. In addition, the reference lists of all included papers were checked to identify any omitted relevant articles. Two of the authors (PV and KCS) assessed the identified publications independently to determine their eligibility for inclusion, discrepancies were sorted by another author (PM).

Inclusion and exclusion criteria: Mental health issues were defined in this review as conditions related to psychosis, mood disorders, anxiety disorders, alcohol and other substance use disorders, personality disorders or developmental disorders or other related mental health issues. Studies indicating habitual use of a substance and excessive use of alcohol were included. We did not include smoking/tobacco use as their presence does not per se indicate a mental health problem. Community-based quantitative observational studies focussing on tribal communities and generating primary data were included and studies dealing with only a subset of tribal population were excluded. Studies examining secondary data were excluded as well.

Search strategies and quality assessment: The following search strategies were used to identify studies published between January 1, 1990 and May 31, 2021 and in English: ‘Mental disorders’(Mesh) OR ‘Psychological phenomena’ (Mesh) OR ‘Mental disorders’ OR ‘Psychiatric*’ OR ‘Post trauma’ OR ‘Suicide’ OR ‘Psychiatric disorder*’ OR ‘Psychiatric diagnosis’ OR ‘Behavior disorders’ OR ‘Severe mental disorder*’ OR ‘Psychological phenomenas’ OR ‘Psychologic processes and principles’ OR ‘Psychologic processes’ OR ‘Psychological processes*’ AND ‘Indigenous peoples’ (Mesh) OR ‘Indigenous peoples’ OR ‘First nation people*’ OR ‘Native people*’ OR ‘Tribal people*’ OR ‘Tribal population’ OR ‘Tribal community’ OR ‘Tribal culture’ OR ‘Schedule Tribe*’ OR ‘Under privileged societ*’ OR ‘Tribe*’ OR ‘Adivasi*’ AND ‘India’ (Mesh) OR ‘India’ with all State names and all types of tribes in India. All relevant studies were evaluated for a quality check using the JBI critical appraisal checklist for studies reporting prevalence data (Table I)13-23. We assessed the study design, sampling procedure, comparison, assessment tool and analysis methods. This review followed Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines and was registered on PROSPERO (CRD42020178099).

Table I Quality appraisal of the studies using Joanna Briggs Institute critical appraisal checklist for studies reporting prevalence data
Characteristics Ali and Eqbal13 2016 Bhar et al14, 2019 Chaturvedi et al15, 2013 Chaturvedi et al16, 2019 Hackett et al17, 2007 Negi et al18, 2016 Ray et al19, 2018 Sadath et al20, 2022 Singh and Rao21, 2018 Singh et al22, 2013 Snodgrass et al23, 2017
1. Was the sample frame appropriate to address the target population? Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes
2. Were study participants sampled in an appropriate way? Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes
3. Was the sample size adequate? Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes
4. Were the study subjects and the setting described in detail? Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes
5. Was the data analysis conducted with sufficient coverage of the identified sample? Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes
6. Were valid methods used for the identification of the condition? Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes
7. Was the condition measured in a standard, reliable way for all participants? Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes
8. Was there appropriate statistical analysis? Yes Yes Yes Yes Yes Yes No Yes Yes Yes Yes
9. Was the response rate adequate, and if not, was the low response rate managed appropriately? Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes

Source: Joanna Briggs Institute available from:https://jbi.global/critical-appraisal-tools

Data extraction and synthesis: Two authors (KCS and PV) extracted data independently using the refined standard excel sheet; all authors refined the file through insertion of comments. Each study was examined to obtain the following information: study location (State), major tribes, sample size, participant age, scale or instrument used to measure problems and mental health issues. We presented the data using descriptive statistics, on frequency (n) and percentage (%) to capture the magnitude of mental health issues among tribal population and used meta-analysis using random-effects models with MetaXL software version 5.3 in MS Excel 2016 to determine the pooled prevalence of alcohol use disorder with construction of a forest plot. Following sensitivity analysis, we excluded the alcohol use disorder results of Ray et al19 in 2018 study (72%, AUDIT score); however, I2 value was still high at 99 per cent. Sensitivity analysis after excluding two more studies, Negi et al18, 2016 (24.9%, used WHO Step Survey instrument) and Sadath et al20 in 2022 (17%, used self-reported cases), I2 value was about 85 per cent. We finally included results of four studies that assessed alcohol dependency using pre-decided tools.

Results

A total of 935 articles were identified of which 63 were selected for full-text review after the title and abstract screening. A total of 11 studies were finally included after full-text review. The PRISMA flow chart is shown in Figure 1.

PRISMA flowchart. PRISMA, Preferred Reporting Items for Systematic reviews and Meta-Analyses
Fig.1
PRISMA flowchart. PRISMA, Preferred Reporting Items for Systematic reviews and Meta-Analyses

Study characteristics: The following was the geographical distribution of the 11 studies selected for full-text review; Arunachal Pradesh (n=4), West Bengal (n=2), Kerala (n=2), Jharkhand (n=1), Himachal Pradesh (n=1), Rajasthan and Madhya Pradesh (n=1). The number of study participants ranged from 172 to 3582, with four studies having participants, number in greater than 2000, two studies including more than 700-750 individuals, three studies recruiting a population more than 200 and two studies including less than 200 participants. The Adivasi, Adiyar, Bhutia, Idu Mishimi, Kanaladi, Kanduvadiyar, Kattunaikkar, Khamti, Kurama, Kurichyar, Mullukkurumar, Munda, Oraon, Paniya, Santhal, Singhpho, Tangsa, Thachanadar and Tutsa were the major tribes studied in these investigation. However, two studies did not provide information on the individual tribes18,19. The mean age of the participants varied between 18 to 60 yr, with a range from 13 to 85 yr, and two studies did not record participants’ age. A brief description of the 11 studies included in final review is presented in Table II13-23.

Table II Brief description of the studies
Author, year State of the study Total population Major tribes Age (yr) Prevalence of mental health issues amongst tribal population (%) Methods of diagnosis
Ali and Eqbal13, 2016 Jharkhand 780 Munda, Santhal, Oraon 13 to 17 Emotional symptoms (5.12) Conduct problem (9.61) Peer problem (1.41) Hyperactivity (4.23) SDQ
Bhar et al14, 2019 West Bengal 172 Oraon, Santhal, Munda, Bhutia 25 to 64 Alcohol use disorder (40.7) Predesigned tool
Chaturvedi et al15, 2013 Arunachal Pradesh 3421 Khamti, Singhpho, Tangsa, Tutsa 15 and above Alcohol use disorder (44) Opium use (7.8) Predesigned tool
Chaturvedi et al16, 2019 Arunachal Pradesh 3421 Khamti, Singhpho, Tangsa, Tutsa 15 and above Alcohol use disorder (39.1) Predesigned tool
Hackett et al17, 2007 Kerela 721 Paniya, Kurama Common mental disorders (27) Self-report questionnaire
Negi et al18, 2016 Himachal Pradesh 3582 Not Reported 20 to 70 Alcohol use disorder (24.9) WHO STEPS survey instrument
Ray et al19, 2018 West Bengal 340 Not Reported 19 to 62 Alcohol use disorder (72.4) AUDIT scores
Sadath et al20, 2022 Kerala 2186 Paniyar, Kurichyar, Kattunaikkar, Mullukkurumar, Adiyar, Kanduvadiyar, Thachanadar, Kanaladi Not reported Alcohol use disorder (17.2) Self-prepared tool
Singh and Rao21, 2018 Arunachal Pradesh 177 Idu Mishimi 15 to 70 Suicidal attempts (22.03) Columbia suicide severity rating scale
Singh et al22, 2013 Arunachal Pradesh 218 Idu Mishimi 19 to 85 Suicidal attempts (14.2) Anxiety (6.4) Depression (8.3) Alcohol use disorder (36.2) Predesigned tool
Snodgrass et al23, 2017 Rajasthan and Madhya Pradesh 219 Adivasi 24 to 53 Distress (0.9) Positive and negative emotion health scale

SDQ, Strengths and Difficulties Questionnaire

Study outcomes: Substance use was presented as the major mental health issue by most of the investigators; seven presented on alcohol use disorder14-16,18-20,22 and one opium use15. The pooled prevalence of alcohol use disorder was 40 per cent (37-44%) (Fig. 2); opium use was 7.8 per cent.

Pooled prevalence of alcohol use disorder among the tribal communities of India.
Fig.2
Pooled prevalence of alcohol use disorder among the tribal communities of India.

Suicidal attempts were recorded in two studies21,22; prevalence being 14.2 per cent (n=31) and 22.03 per cent (n=39), respectively. Both these studies were conducted in Arunachal Pradesh. Using a self-reported questionnaire Hackett et al17 in 2007 found that 27 per cent (n=195) of the Paniya and Kurama tribes had common mental disorders. A study conducted in Jharkhand revealed behavioural and emotional issues among 13-17 yr old Munda, Santhal and Oraon teenagers13. Conduct issues (9.61%), emotional symptoms (5.12%), hyperactivity (4.23%) and peer problems (1.41%) were identified. In Arunachal Pradesh, a study using a patient health questionnaire found stress-related and somatoform disorders (anxiety 6.4%) and mood disorders (depression 8.3%) among the Idu Mishimi tribes22. Using the Positive and Negative Emotion Health Scale (PANAS), a recent study in the States of Rajasthan and Madhya Pradesh assessed the reaction to severe stress and adjustment disorders (distress 0.9%) amongst 23-53 yr old Adivasi communities23. Table II provides a detailed description of mental illness identified.

Methods of diagnosis: The tools used for mental illness assessment and diagnosis by various studies were ‘Strengths and Difficulties Questionnaire’, ‘WHO STEPS survey instrument’, ‘AUDIT scores’, ‘Columbia Suicide Severity Rating Scale’ and ‘Positive and Negative Emotion Health Scale’. However, the majority of the studies used predesigned and pretested questionnaires.

Discussion

Understanding tribal populations’ mental health morbidities are necessary to address their wellbeing, and to develop culturally appropriate interventions and align healthcare systems accordingly. This systematic evaluation of community-based studies to ascertain the prevalence of mental health problems among Indian tribals was a step toward this direction. We identified eleven studies addressing mental health issues in tribal populations. However, fewer studies targeted primitive tribes, particularly vulnerable tribal groups (PVTG). These investigations used various techniques, and included substance use including problem alcohol use, anxiety, depression, suicide and other mental health morbidities. Our findings highlight the necessity of using uniform study methodologies that will make use of standardized tools help compare the prevalence of mental health problems in tribal populations.

This review attempted to explore mental health issues, and most of the studies addressed problem alcohol use14-16,18-20,22. This might be because alcohol use is culturally accepted among tribal populations with limited awareness about its harmfulness24. Few studies addressed other mental health conditions such as depression and anxiety. To estimate the actual prevalence of mental disorders in tribal populations, developing culturally appropriate tools will be necessary. This was attempted by a group of researchers23; prevalence of mental health morbidities recorded by them differed from other investigation. Many studies explored substance and alcohol use, but fewer studies examined other mental health issues.

The majority of research has been on tribal groups that live in rural areas and cohabit with non-tribal residents. Only a few studies are conducted exclusively on indigenous populations. Isolated indigenous populations may experience unique mental health challenges. Likewise, communities cohabiting with non-tribal groups may have altered traditional beliefs and living arrangements, resulting in a variety of other mental health concerns. The study designs and procedures also varied significantly. For example, two studies assessed the prevalence of binge drinking while focusing on the detection of non-communicable diseases (NCDs). Prior national studies detected high prevalence of substance use and earlier qualitative research revealed that peer influence, traditional beliefs and cultural acceptance, all contributed to the early exposure of local tribal community to practices related to alcohol use24.

Identifying mental illness in the tribal community is complicated and ambiguous. Using self-administered questionnaires, in tribal populations may not record the prevailing mental diseases among study groups13,17, as cultural contexts influence perceptions about diseases. Nonetheless, Snodgrass et al23 attempted to create a scale for identifying mental disorders that is more relevant in the regional tribal cultural context. Psychological factors contributing to the high rate of suicide in some tribal society has been explored21,22. However, absence of psychiatric clinics preclude further in-depth assessment. Some of the investigations used in this review determined the prevalence of cigarette, alcohol and opium usage14-20. Given that most of these studies on substance use were conducted to ascertain the prevalence of risk factors for NCDs in the tribal population, the emphasis was placed on current cigarette and alcohol use. In addition, given the diversity of tribal cultures, authors’ interactions with tribal people are crucial for understanding their cultural context.

In 1982, the Indian government launched its first National Mental Health Programme (1982) to ensure universal access to primary mental healthcare25,26. As part of this programme, the District Mental Health Programme was established to improve mental health care. However, this programme did not have indigenous population’s mental health care needs in consideration. Indigenous people are primarily rural and marginalized members of the society. Their remote habitats lack basic minimum healthcare infrastructural support, and the indigenous mental health agenda has remained ignored and neglected for long, which is a prominent policy implementation gap. As a result, they deserve special considerations when it comes to healthcare27-30.

Strengths and limitations: Although prevalence of psychological morbidities in a tribal community cannot be determined by conducting small scale studies, this review has systematically captured available investigation and illustrated the research gap and emphasized the need for future in-depth research. However, our review has certain limitations. The tribes and tribal regions addressed by the studies we synthesized are few as compared to those present in India. Moreover, most of the studies were cross-sectional, and there was heterogeneity in the methods followed and tools used. The results obtained from these studies cannot therefore be generalized.

In conclusion, this systematic review established that only a few community-based studies have been conducted on mental health issues among tribal populations over the last three decades. Of them, even fewer studies focused exclusively on tribal communities. A limited range of mental health issues, primarily alcoholism, anxiety, depression and suicide were explored by these investigations.

Acknowledgment:

The authors acknowledge Dr Banamber Sahoo, Library and Information Officer, for his support and Dr Girish C. Das for helping in the meta-analysis.

Financial support & sponsorship: None.

Conflicts of Interest: None.

References

  1. . Depression and other common mental disorders: Global health estimates. Available from: https://apps.who.int/iris/bitstream/handle/10665/254610/W?sequence=1
  2. , , , . Estimating the true global burden of mental illness. Lancet Psychiatry. 2016;3:171-8.
    [Google Scholar]
  3. , , , , , , . Mental health service provision in low- and middle-income countries. Health Serv Insights. 2017;10:1178632917694350.
    [Google Scholar]
  4. , , . Mental health service provision in low- and middle-income countries:Recent developments. Curr Opin Psychiatry. 2016;29:270-5.
    [Google Scholar]
  5. , , , . World health assembly adopts comprehensive mental health action plan 2013-2020. Lancet. 2013;381:1970-1.
    [Google Scholar]
  6. , . World health assembly adopts comprehensive mental health action plan for 2013-2020. Issues Ment Health Nurs. 2013;34:723-4.
    [Google Scholar]
  7. , , , , , , . The National Mental Health Survey of India (|y2016):Prevalence, socio-demographic correlates and treatment gap of mental morbidity. Int J Soc Psychiatry. 2020;66:361-72.
    [Google Scholar]
  8. , , , , , , . The burden of mental disorders across the states of India:The global burden of disease study 1990–2017. Lancet Psychiatry. 2020;7:148-61.
    [Google Scholar]
  9. , , , . Mental health awareness:The Indian scenario. Ind Psychiatry J. 2016;25:131-4.
    [Google Scholar]
  10. , . Health and health seeking behaviour among tribal communities in India:A socio-cultural perspective. J Tribal Intellect Collect India. 2014;2:1-6.
    [Google Scholar]
  11. , , . Culturally adapted mental health intervention:A meta-analytic review. Psychotherapy (Chic). 2006;43:531-48.
    [Google Scholar]
  12. , , , , , , . The Lancet Commission on global mental health and sustainable development. Lancet. 2018;392:1553-98.
    [Google Scholar]
  13. , , . Mental health status of tribal school going adolescents:A study from rural community of Ranchi, Jharkhand. Age. 2016;17:38-41.
    [Google Scholar]
  14. , , , . Behavioral and biological risk factors of noncommunicable diseases among tribal adults of rural Siliguri in Darjeeling District, West Bengal:A cross-sectional study. Indian J Public Health. 2019;63:119-27.
    [Google Scholar]
  15. , , , , . Correlates of opium use:Retrospective analysis of a survey of tribal communities in Arunachal Pradesh, India. BMC Public Health. 2013;13:325.
    [Google Scholar]
  16. , , , . Association of religion and cultural tradition with alcohol use among some tribal communities of Arunachal Pradesh, India. J Ethn Subst Abuse. 2019;18:296-308.
    [Google Scholar]
  17. , , , . The physical and social associations of common mental disorder in a tribal population in South India. Soc Psychiatry Psychiatr Epidemiol. 2007;42:712-5.
    [Google Scholar]
  18. , , , , . Epidemiological study of non-communicable diseases (NCD) risk factors in tribal district of Kinnaur, HP:A cross-sectional study. Indian Heart J. 2016;68:655-62.
    [Google Scholar]
  19. , , , , . Prevalence of alcohol use among tribal population based on self-reported data:A hospital-based pilot study from West Bengal. J Indian Acad Clin Med. 2018;19:269-73.
    [Google Scholar]
  20. , , , , , , . Prevalence and determinants of substance use among indigenous tribes in South India:Findings from a tribal household survey. J Racial Ethn Health Disparities. 2022;9:356-66.
    [Google Scholar]
  21. , , . Explaining suicide attempt with personality traits of aggression and impulsivity in a high risk tribal population of India. PLoS One. 2018;13:e0192969.
    [Google Scholar]
  22. , , , , . High rate of suicide attempt and associated psychological traits in an isolated tribal population of North-East India. J Affect Disord. 2013;151:673-8.
    [Google Scholar]
  23. , , , . “Developing culturally sensitive affect scales for global mental health research and practice:Emotional balance, not named syndromes, in Indian Adivasi subjective well-being”. Soc Sci Med. 2017;187:174-83.
    [Google Scholar]
  24. , , , , , , . Weaved into the cultural fabric:A qualitative exploration of alcohol consumption during pregnancy among tribal women in Odisha, India. Subst Abuse Treat Prev Policy. 2018;13:9.
    [Google Scholar]
  25. , . National mental health survey of India 2015-2016. Indian J Psychiatry. 2017;59:21-6.
    [Google Scholar]
  26. , , . The birth of national mental health program for India. Indian J Psychiatry. 2015;57:315-9.
    [Google Scholar]
  27. , , , , , , . Rural community attitude towards mental healthcare:A mixed-method study in Khurda district of Odisha, India. Middle East Curr Psychiatry. 2020;27:1-8.
    [Google Scholar]
  28. , , , . Connecting the unconnected:The way forward for public health to reach the unreached tribal communities in India. Curr Sci. 2021;120:24.
    [Google Scholar]
  29. , . Deprivation, discrimination, human rights violation, and mental health of the deprived. Indian J Psychiatry. 2010;52:207-12.
    [Google Scholar]
  30. , . Health of tribal populations in India:How long can we afford to neglect? Indian J Med Res. 2019;149:313-6.
    [Google Scholar]
Show Sections
Scroll to Top