Body mass index and risk of mental disorders in the general population: Results from the Singapore Mental Health Study

2013 ◽  
Vol 74 (2) ◽  
pp. 135-141 ◽  
Author(s):  
Mythily Subramaniam ◽  
Louisa Picco ◽  
Vincent He ◽  
Janhavi Ajit Vaingankar ◽  
Edimansyah Abdin ◽  
...  
2008 ◽  
Vol 53 (10) ◽  
pp. 679-688 ◽  
Author(s):  
Ronny Bruffaerts ◽  
Koen Demyttenaere ◽  
Gemma Vilagut ◽  
Montserat Martinez ◽  
Anke Bonnewyn ◽  
...  

Objective: To examine the association between body mass, mental disorders, and functional disability in the general population of 6 European countries. Method: Data ( n = 21 425) were derived from the European Study on the Epidemiology of Mental Disorders (ESEMeD). The third version of the Composite International Diagnostic Interview was administered to assess mental disorders (mood, anxiety, and alcohol disorders) according to the Diagnostic Statistical Manual of Mental Disorders-fourth edition, body mass index (BMI) (kg/m2, based on self-reported height and weight), and functional disability in the previous 30 days, assessed with the World Health Organization Disablement Assessment Scale—second version. Results: About 3% of the respondents were underweight (BMI < 18.5 kg/m2), 53% had normal weight (BMI 18.5 to 24.9 kg/m2), 33% were overweight (BMI 25 to 29.9 kg/m2), and the remaining 12% met criteria for obesity (BMI > 30.0 kg/m2). Compared with individuals of normal weight, obese individuals were more likely to have mood (OR 1.3; 95%CI, 1.0 to 1.8) or more than one mental disorder (OR 1.4; 95%CI, 1.0 to 2.2). BMI had no impact on work loss days, whereas mental disorders had a considerable effect on work loss days. Conclusions: This is the first cross-national study investigating the role between BMI, mental disorders, and functional disability in the general population. Being overweight or obese is a common condition in the 6 ESEMeD countries. Although there is a moderate association between obesity and mental disorders, BMI did not independently influence functional disability.


2020 ◽  
Vol 20 (1) ◽  
Author(s):  
Zhi Du ◽  
Liying Xing ◽  
Min Lin ◽  
Yingxian Sun

Abstract Background To investigate the relationship between triglyceride glucose-body mass index (TyG-BMI) and ischemic stroke. Methods Leveraging two Chinese general population surveys, the Northeast China Rural Cardiovascular Health Study (NCRCHS, N = 11,097) and the National Stroke Screening and Intervention Program in Liaoning (NSSIPL, N = 10,862), we evaluated the relationship between TyG-BMI and ischemic stroke by a restricted cubic spline and multivariate logistic regression after adjusting age, sex, level of education, exercise regularly, current smoking, current drinking, atrial fibrillation, hypertension, coronary artery disease, low-density lipoprotein cholesterol, and high-density lipoprotein cholesterol. The category-free analysis was used to determine whether TyG-BMI enhanced the capacity of estimating ischemic stroke. Results A total of 596 and 347 subjects, respectively, from NSSIPL and NCRCHS were survivors of ischemic stroke. In NSSIPL, the relationship between TyG-BMI and ischemic stroke was linear and did not have a threshold or saturation effect according to the results of the restricted cubic spline. The regression analysis indicated that the risk of ischemic stroke increased 20% for per SD increase of TyG-BMI after multivariate adjustment [odds ratio (OR): 1.20, 95% confidence interval (CI): 1.10–1.32]. Compared with those in the lowest tertile, the risk of ischemic stroke in subjects with intermediate and high TyG-BMI was significantly higher [OR (95% CI): 1.39 (1.10–1.74); OR (95% CI) 1.72 (1.37–2.17), respectively]. Category-free analysis indicated that TyG-BMI had a remarkable improvement in the ability to estimate prevalent ischemic stroke [NRI (95% CI): 0.188 (0.105–0.270)]. These abovementioned relationships were confirmed in NCRCHS. Conclusions The present study found the robust correlation between TyG-BMI and ischemic stroke, independently of a host of conventional risk factors. Meanwhile, our findings also suggested the potential usefulness of TyG-BMI to improve the risk stratification of ischemic stroke.


2021 ◽  
pp. 1-8
Author(s):  
Edimansyah Abdin ◽  
Siow Ann Chong ◽  
Vithiya Ragu ◽  
Janhavi Ajit Vaingankar ◽  
Saleha Shafie ◽  
...  

2015 ◽  
Vol 15 (1) ◽  
Author(s):  
Vathsala Sagayadevan ◽  
Siau Pheng Lee ◽  
Edimansyah Abdin ◽  
Janhavi Vaingankar ◽  
Helen Chen ◽  
...  

Author(s):  
M. Subramaniam ◽  
E. Abdin ◽  
J. A. Vaingankar ◽  
S. Shafie ◽  
B. Y. Chua ◽  
...  

Abstract Aims The second Singapore Mental Health Study (SMHS) – a nationwide, cross-sectional, epidemiological survey - was initiated in 2016 with the intent of tracking the state of mental health of the general population in Singapore. The study employed the same methodology as the first survey initiated in 2010. The SMHS 2016 aimed to (i) establish the 12-month and lifetime prevalence and correlates of major depressive disorder (MDD), dysthymia, bipolar disorder, generalised anxiety disorder (GAD), obsessive compulsive disorder (OCD) and alcohol use disorder (AUD) (which included alcohol abuse and dependence) and (ii) compare the prevalence of these disorders with reference to data from the SMHS 2010. Methods Door-to-door household surveys were conducted with adult Singapore residents aged 18 years and above from 2016 to 2018 (n = 6126) which yielded a response rate of 69.0%. The subjects were randomly selected using a disproportionate stratified sampling method and assessed using World Health Organization Composite International Diagnostic Interview version 3.0 (WHO-CIDI 3.0). The diagnoses of lifetime and 12-month selected mental disorders including MDD, dysthymia, bipolar disorder, GAD, OCD, and AUD (alcohol abuse and alcohol dependence), were based on the Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition (DSM-IV) criteria. Results The lifetime prevalence of at least one mood, anxiety or alcohol use disorder was 13.9% in the adult population. MDD had the highest lifetime prevalence (6.3%) followed by alcohol abuse (4.1%). The 12-month prevalence of any DSM-IV mental disorders was 6.5%. OCD had the highest 12-month prevalence (2.9%) followed by MDD (2.3%). Lifetime and 12-month prevalence of mental disorders assessed in SMHS 2016 (13.8% and 6.4%) was significantly higher than that in SMHS 2010 (12.0% and 4.4%). A significant increase was observed in the prevalence of lifetime GAD (0.9% to 1.6%) and alcohol abuse (3.1% to 4.1%). The 12-month prevalence of GAD (0.8% vs. 0.4%) and OCD (2.9% vs. 1.1%) was significantly higher in SMHS 2016 as compared to SMHS 2010. Conclusions The high prevalence of OCD and the increase across the two surveys needs to be tackled at a population level both in terms of creating awareness of the disorder and the need for early treatment. Youth emerge as a vulnerable group who are more likely to be associated with mental disorders and thus targeted interventions in this group with a focus on youth friendly and accessible care centres may lead to earlier detection and treatment of mental disorders.


BMJ Open ◽  
2020 ◽  
Vol 10 (10) ◽  
pp. e038175
Author(s):  
J Maphisa Maphisa ◽  
Opelo Petunia Mogotsi ◽  
Olorato Khumo Machola ◽  
Keamogetse Metlha Maswabi ◽  
Tiro Bright Motsamai ◽  
...  

BackgroundWhile the burden of disease attributable to mental disorders in low/middle-income countries (LMICs) is lower than high-income countries, there is recognition that the dearth of evidence from the LMICs may underestimate the actual prevalence and burden associated with mental disorders. Such is likely the case for Botswana where there has been no nationally representative data on the prevalence of symptoms of mental disorders or even a subgroup estimation of mental disorders in the country. Thus, the Youth Mental Health Study (YMHS) aims to estimate the prevalence and identify predictors of symptoms of mental disorders among university students in Botswana to add to the evidence and contribute to the country’s health service planning.MethodsThe YMHS is a cross-sectional study of youth (18–29 years) attending six large universities (accounting for nearly half of the tertiary student population) in Botswana. A stratified sampling procedure with proportionate allocation and selection is used to select a representative sample of 1308 participants. An online survey comprising of a battery of reliable and validated self-report measures of symptoms of mental disorders is used. A developmental psychopathology framework is used in identifying the risk factors of mental disorders. Participant recruitment will span over 4 months beginning in February 2020.Ethics and disseminationThe study has received ethics approval from the University of Botswana Institutional Review Board, and the Ministry of Health and Wellness. Participants will be provided with feedback of their own results. Aggregated findings will be disseminated to stakeholders in the tertiary education and health sector in Botswana, and through peer-reviewed journals, conference presentations and the media.


2021 ◽  
Vol 50 (5) ◽  
pp. 390-401
Author(s):  
Mythily Subramaniam ◽  
Jue Hua Lau ◽  
Edimansyah Abdin ◽  
Janhavi Ajit Vaingankar ◽  
James Junda Tan ◽  
...  

ABSTRACT Introduction: This study examines: (1) the employment rate among those with a mental disorder in the 12 months preceding the survey (referred henceforth as 12-month mental disorder); (2) the sociodemographic correlates of unemployment; and (3) the association of unemployment with 12-month mental disorders and chronic physical conditions in the adult resident population in Singapore. Methods: Data are from the Singapore Mental Health Study 2016, a household survey of a nationally representative sample of 6,126 Singapore residents. The Composite International Diagnostic Interview (CIDI) was used to assess mental disorders and physical health conditions. Employment-related information was collected using a modified employment module of the CIDI. Results: Of the 6,125 participants who took part in the study, 4,055 (72%) were employed, 1,716 (22.7%) were economically inactive, and 354 (5.3%) were unemployed. The unemployment rate was twice as high among those with a 12-month mental disorder (11.5%) than those without (4.8%). The proportion of unemployed individuals increased sharply with the increasing severity of mental disorders. Being married and higher household income were significantly associated with a higher likelihood of being employed than unemployed. In contrast, the presence of one 12-month mental disorder was significantly associated with a lower likelihood of being employed. Conclusion: Our findings provide information on the significant association of mental disorders with unemployment. Clinicians should remain vigilant and consider the loss of employment a potential risk factor for adverse physical and mental health changes. Management of unemployed patients with a combination of pharmacotherapy and work-directed interventions can facilitate their re-entry into the workforce and improve health outcomes. Keywords: Employment, epidemiology, mental health, survey


PLoS Medicine ◽  
2020 ◽  
Vol 17 (11) ◽  
pp. e1003413
Author(s):  
Tormod Rogne ◽  
Erik Solligård ◽  
Stephen Burgess ◽  
Ben M. Brumpton ◽  
Julie Paulsen ◽  
...  

Background In observational studies of the general population, higher body mass index (BMI) has been associated with increased incidence of and mortality from bloodstream infection (BSI) and sepsis. On the other hand, higher BMI has been observed to be apparently protective among patients with infection and sepsis. We aimed to evaluate the causal association of BMI with risk of and mortality from BSI. Methods and findings We used a population-based cohort in Norway followed from 1995 to 2017 (the Trøndelag Health Study [HUNT]), and carried out linear and nonlinear Mendelian randomization analyses. Among 55,908 participants, the mean age at enrollment was 48.3 years, 26,324 (47.1%) were men, and mean BMI was 26.3 kg/m2. During a median 21 years of follow-up, 2,547 (4.6%) participants experienced a BSI, and 451 (0.8%) died from BSI. Compared with a genetically predicted BMI of 25 kg/m2, a genetically predicted BMI of 30 kg/m2 was associated with a hazard ratio for BSI incidence of 1.78 (95% CI: 1.40 to 2.27; p < 0.001) and for BSI mortality of 2.56 (95% CI: 1.31 to 4.99; p = 0.006) in the general population, and a hazard ratio for BSI mortality of 2.34 (95% CI: 1.11 to 4.94; p = 0.025) in an inverse-probability-weighted analysis of patients with BSI. Limitations of this study include a risk of pleiotropic effects that may affect causal inference, and that only participants of European ancestry were considered. Conclusions Supportive of a causal relationship, genetically predicted BMI was positively associated with BSI incidence and mortality in this cohort. Our findings contradict the “obesity paradox,” where previous traditional epidemiological studies have found increased BMI to be apparently protective in terms of mortality for patients with BSI or sepsis.


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