Mental health status of workers in selected tea estates, Tamil Nadu, India

Introduction: The prevalence of mental illnesses among industrial workers ranged between 14% - 51%, which is more than that of the general population. Individual’s psychosocial functioning has an impact on the work efficiency and hence the current study was undertaken to screen workers in tea plantations.Objective: To document the prevalence of probable mental illness and its associated factors among workers in selected tea estates in South India.Methodology: A cross sectional study was done in two tea estates in Tamil Nadu from March to May 2012. The General Health Questionnaire (GHQ) 28 was used to screen for mental health status. Socio-demographic details, work profile and associated risk factors were also documented.Results: Among the 400 subjects interviewed, 75.5% were females. The mean age was 43.21 (±7.47) years and the mean work experience was 21.38 (±9.31) years. In this study 12.8% subjects screened positive for probable mental illness and 1%, 1%, 0.2% and 1.5% screened positive for the domains of somatic symptoms, anxiety/insomnia, social dysfunction and severe depression respectively. Workers who screened positive for probable mental illness had availed significantly greater duration of leave in the previous year. There was no significant association of mental illness with age, gender, marital status, substance abuse, designation, co-morbidity and stressful life events.Conclusion: The prevalence of probable mental illness was similar to other occupational settings. Management of the associated risk factors may improve one’s work efficiency and productivity.

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Probable mental illnesses among tea plantation workers in Anaimalai, Tamil Nadu, South India

International Journal of Community Medicine and Public Health ◽

10.18203/2394-6040.ijcmph20171310 ◽

2017 ◽

Vol 4 (4) ◽

pp. 982

Author(s):

Ashwini G. S. ◽

Naveen Ramesh ◽

Navya C. J. ◽

Jino Joy ◽

Abel Thomas Oommen ◽

...

Keyword(s):

Mental Illness ◽

Psychosocial Functioning ◽

Work Experience ◽

Associated Factors ◽

Tamil Nadu ◽

South India ◽

Mental Illnesses ◽

Work Efficiency ◽

Co Morbidity ◽

The Mean

Background: The prevalence of mental illnesses among industrial workers is found to be 14% - 51%, which is more than that in the general population. Individual’s psychosocial functioning has an impact on the work efficiency. The objective of the study was to assess the prevalence of probable mental illness and its associated factors among workers in selected tea estates in South India. Methods: A cross sectional study was done in two tea estates in Tamil Nadu from March to May, 2012. The General Health Questionnaire (GHQ) 28 was used to screen for probable mental illness. Sociodemographic details, work profile and associated risk factors were also elicited. Results: Among the 400 subjects interviewed, 75.5% were females. The mean age was 43.21 (±7.47) years and the mean work experience was 21.38 (±9.31) years. In our study 12.8% subjects screened positive for probable mental illness and 1%, 1%, 0.2% and 1.5% screened positive in the domains somatic symptoms, anxiety/insomnia, social dysfunction and severe depression respectively. Workers who screened positive for probable mental illness had availed significantly greater duration of leave in the previous year. There was no significant association of mental illness with age, gender, marital status, substance abuse, designation, co-morbidity and stressful life events. Conclusions: There is a need to screen individuals in different occupation for probable mental illness and those screened positive need evaluation by a psychiatrist. There is also a need to explore associated factors in order to improve one’s health and work efficiency.

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Recruitment of child soldiers in Nepal: Mental health status and risk factors for voluntary participation of youth in armed groups.

Peace and Conflict Journal of Peace Psychology ◽

10.1037/pac0000170 ◽

2016 ◽

Vol 22 (3) ◽

pp. 208-216 ◽

Cited By ~ 10

Author(s):

Brandon A. Kohrt ◽

Minyoung Yang ◽

Sauharda Rai ◽

Anvita Bhardwaj ◽

Wietse A. Tol ◽

...

Keyword(s):

Mental Health ◽

Risk Factors ◽

Health Status ◽

Child Soldiers ◽

Mental Health Status ◽

Voluntary Participation ◽

Armed Groups

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Mental health status and gender as risk factors for onset of physical illness over 10 years

Journal of Epidemiology & Community Health ◽

10.1136/jech-2013-202838 ◽

2013 ◽

Vol 68 (1) ◽

pp. 64-70 ◽

Cited By ~ 10

Author(s):

Flora I Matheson ◽

Katherine L W Smith ◽

Rahim Moineddin ◽

James R Dunn ◽

Richard H Glazier

Keyword(s):

Mental Health ◽

Risk Factors ◽

Health Status ◽

Physical Illness ◽

Mental Health Status ◽

And Gender

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An assessment of mental health status of physicians working in medical college hospitals of Dhaka city

Bangladesh Journal of Psychiatry ◽

10.3329/bjpsy.v32i2.55128 ◽

2020 ◽

Vol 32 (2) ◽

pp. 37-39

Author(s):

Kazi Mahbubul Haque ◽

Md Shafiqul Islam ◽

Saida Sharmin

Keyword(s):

Mental Health ◽

Mental Illness ◽

Health Status ◽

Health Care Professionals ◽

Cross Sectional Study ◽

Mental Health Status ◽

Dhaka City ◽

Cross Sectional ◽

Medical College ◽

The Impact

Mental health status is often ignored in our country. Even many health care professionals commonly ignore the impact of mental illness on both daily and professional lives, which may lead to dire consequences. The purpose of this study was to find the mental health status of physicians working in medical college hospitals of Dhaka city. A cross sectional study was conducted from January to December 2015 for this purpose among 215 number of respondents selected conveniently. Data were collected from 210 physicians by face-to face interview using a semi structured questionnaire containing 4DSQ (Four-Dimensional Symptom Questionnaire), socio economic and other variables. The prevalence of mental illness was calculated according to the scoring system of the scale. Mental illness prevalence was as follows: distress 20%, Anxiety 15.7%, Depression 15.2% and Somatization 8.6%. Majority of the respondents were interns and below 30 years of age. However, in light of current pandemic situation, regular assessment of health personnel’s mental health is needed more than ever. Bang J Psychiatry 2018;32(2): 37-39

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Mental health status and risk factors for mental health problems in left-behind children of women migrant workers in Sri Lanka

Ceylon Medical Journal ◽

10.4038/cmj.v56i4.3893 ◽

2011 ◽

Vol 56 (4) ◽

pp. 153 ◽

Cited By ~ 16

Author(s):

BCV Senaratne ◽

H Perera ◽

P Fonseka

Keyword(s):

Mental Health ◽

Risk Factors ◽

Health Status ◽

Sri Lanka ◽

Migrant Workers ◽

Mental Health Problems ◽

Health Problems ◽

Mental Health Status ◽

Left Behind

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Cardiometabolic risk factors and mental health status among truck drivers: a systematic review

BMJ Open ◽

10.1136/bmjopen-2020-038993 ◽

2020 ◽

Vol 10 (10) ◽

pp. e038993

Author(s):

Amber J Guest ◽

Yu-Ling Chen ◽

Natalie Pearson ◽

James A King ◽

Nicola J Paine ◽

...

Keyword(s):

Mental Health ◽

Risk Factors ◽

Systematic Review ◽

Health Status ◽

Cardiometabolic Risk ◽

Health Behaviours ◽

Mental Health Status ◽

Truck Drivers ◽

Truck Driver ◽

Cardiometabolic Risk Factors

ObjectiveThis study aimed to systematically review and summarise the literature on cardiometabolic risk factors, lifestyle health behaviours and mental health status of truck drivers globally to ascertain the scale of these health concerns.DesignSystematic review reported using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines.Data sourcesPubMed, Scopus, PsycINFO and Web of Science were searched in January 2019 and updated in January 2020, from the date of inception to 16 January 2020.Eligibility criteria for selecting studiesPapers were included if they (1) reported independent data on truck drivers, (2) included quantitative data on outcomes related to cardiometabolic markers of health, mental health and/or health behaviours, (3) were written in English and (4) were published in a peer-reviewed journal. Grey literature was ineligible for this review.Data extraction and synthesisOne reviewer independently extracted data and assessed methodological quality using a checklist based on the National Heart, Lung and Blood Institute Quality Assessment tool. 20% were independently assessed for eligibility and quality by a second reviewer. Due to heterogeneity of the outcomes, results were narratively presented.Results3601 titles and abstracts were screened. Seventy-three studies met the inclusion criteria. Truck driving is associated with enforced sedentarism, long and irregular working hours, lack of healthy foods, social isolation and chronic time pressures. Strong evidence was observed for truck drivers to generally exhibit poor cardiometabolic risk profiles including overweight and obesity, hypertension, hypercholesterolaemia, high blood glucose, poor mental health and cigarette smoking.ConclusionsImproving truck driver health is vital for the longevity of the trucking industry, and for the safety of all road users. The workplace plays a vital role in truck driver health; policies, regulations and procedures are required to address this health crisis.PROSPERO registration numberCRD42019124499.

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Comprehensive Comparison between Empty-nesters and Non-empty-nesters in Anhui, China: Subjective Well-being and Depression

10.21203/rs.3.rs-29125/v1 ◽

2020 ◽

Author(s):

Dan Su

Keyword(s):

Mental Health ◽

Risk Factors ◽

Health Status ◽

Influencing Factors ◽

Religious Belief ◽

Well Being ◽

Mental Health Status ◽

Subjective Well Being ◽

Old People ◽

Targeted Interventions

Abstract BACKGROUND: China is one of the countries facing the most serious population aging. Empty-nesters accounted half of the total old adults in China, improving mental health status of old people is necessary. This cross-sectional study aimed to compare the subjective well-being and depression comprehensively between empty-nesters and non-empty-nesters in Anhui, China.METHODS: 1452 participants were surveyed by using the demographic characteristics questionnaire, the subjective well-being (SWB) single-choice facial expression questionnaire and the 30-item Geriatric Depression Scale (GDS-30).RESULTS: Education level and depression were risk factors for both groups ( P <0.05), but age, marital status, living mode, and religious belief were main risk factors for empty-nesters ( P <0.05). Monthly individual income and SWB were risk factors for both groups( P <0.05), but living mode, religious belief and physical exercise were main risk factors for elderly empty-nesters, whereas economy situation was the main risk factor for non-empty-nesters( P <0.05).CONCLUTION: The influencing factors of two groups had similarities and differences. With the aging population of China, improving mental health status of old people was necessary. We should implement targeted interventions addressing mental health influencing factors of older adults.

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