Suicide is a major public health problem globally. Data on the factors influencing suicidal behaviours that can inform prevention policies are limited in Bhutan. This study used the dataset of the nationally-representative Bhutan STEPS Survey conducted in 2014 that assessed the non-communicable disease risk factors. Using a backward elimination approach, multiple logistic regression analysis accounting for the complex survey design was performed to identify the factors associated with suicidal ideation and suicide attempts in adults separately. The prevalence of suicidal ideation and suicide attempt was 3.1% and 0.7%, respectively. We found female gender, being unemployed, low and middle household income than high household income, and having a family history of suicide were associated with higher odds of having suicidal ideation. Younger age and alcohol consumption were associated with both suicidal ideation and suicide attempts. While those from the middle-income group compared to those in the high-income group had reduced odds of attempting suicide. The findings can help inform policy investments for suicide prevention. Prevention programs that target young people, females, and low socioeconomic groups, and aimed to reduce harmful alcohol use can help prevent suicidal behaviours.

As an important marker for health equity and access, under-five mortality (UFM) is a primary measure for socioeconomic development. The importance of reducing UFM has been further emphasized in an ambitious target under Sustainable Development Goals. The factors influencing UFM are not adequately understood in Bhutan. The most recent dataset of the Bhutan National Health Survey (BNHS) 2012 was used in this study. Multiple logistic regression analysis using a backwards elimination approach was performed to identify significant factors influencing UFM. All statistical analyses were adjusted for the complex study design due to the multistage stratified cluster sampling used in BNHS. Bhutan’s UFM rate was 37 per 1000 live births. The weighted mean age of the children was 7.3 years (SD: 1.53; range: 3–12). Mother’s age, household size, access to electricity and sanitation, residential region, and parity were the key factors associated with UFM. The UFM risk was significantly lower in children born to mothers aged 36–40 years, 41–45 years, and > 45 years when compared to that in children born to mothers aged < 26 years. The likelihood of mortality was 66% lower (95% CI: 0.21–0.55) among children born in households with > 5 members. Children born in households without electricity and safe sanitation had a significantly higher risk of death, by 81 and 49% respectively. Relative to those born in the west, children born in the central and eastern regions were 1.72 (95% CI: 1.07–2.77) and 2.09 (95% CI: 1.46–2.99) times more likely to die, respectively. Children born to mothers who gave birth to > 2 children were significantly more likely to die than their counterparts. These findings suggest that younger mother’s age, the higher number of births and being born in the central and eastern regions are associated with a higher UFM risk, whereas a larger household size and access to electricity and safe sanitation are key factors associated with lower UFM risk in Bhutan. Women empowerment, health education and strategies promoting maternal and child health in rural areas need to be scaled-up. Additionally, socioeconomic development programs should seek to reduce regional disparities.

Data on factors influencing multiple sexual partners that can inform cost-effective interventions are limited in Bhutan. This study examined factors associated with multiple sexual partners among adolescents. We analyzed the data of 7437 school-going adolescents from the 2016 Bhutan Global School-based Student Health Survey. Multivariable logistic regression stratified by sex was conducted. The prevalence of sex with multiple partners was 7.39%, with a much higher prevalence among males than females. In the overall sample, males, those >15 years of age, who smoked, consumed alcohol, used drugs, exhibited truancy, and were unmonitored by parents, had higher odds of having sex with multiple partners. In both males and females, being >15 years old, smoking, and drug use were associated with having multiple sexual partners. Alcohol use and truancy were significant only among males, whereas a lack of parental monitoring was significant only among females. The findings suggest that reducing substance use and enhancing parental support, and targeting males and older adolescents may yield larger gains.

Background We examined to what extent perceived neighbourhood crime moderates, associations between type 2 diabetes mellitus (T2DM) and perceived local amenities, recreational facilities, footpaths and public transit, and potential mediation of environmental characteristics—T2DM association by physical activity, social contact, sleep and body mass index (BMI). Methods The 45 and Up Study data of 36, 224 individuals collected from 2010 to 2015 were analysed in 2019 using multilevel logistic regression to examine the association between T2DM and clustering of unfavourable built environment, and any difference in the association with increasing unfavourable environment and area disadvantage. We performed causal mediation analyses stratified by crime to examine whether crime moderated the strength of identified local amenities–T2DM pathways. Results The results showed that irrespective of crime, perceived lack of local amenities was associated with increased odds of developing T2DM, and BMI mediated 40% and 30.3% of this association among those who reported unsafe and safe daytime crime, respectively. The proportion mediated by BMI among those who reported unsafe and safe night-time crime was 27.3% and 35.1%, respectively. Walking mediated 5.7% of the local amenities–T2DM association among those who reported safe daytime crime. The odds of T2DM increased with rising unfavourable environment and area disadvantage. Conclusions The results suggest that the availability of neighbourhood amenities may lower T2DM risk by increasing walking and reducing BMI regardless of area crime. Policies to enhance access to local amenities and prevent crime, especially in disadvantaged areas, may support healthy behaviour and physical health that can potentially reduce T2DM risk.

Purpose: The differences in the distribution of factors associated with under-five mortality (UFM) can help explain the rural-urban inequities in UFM. The determinants contributing to UFM in rural and urban areas have not been previously explored in Bhutan. This study examined the factors associated with UFM in rural and urban Bhutan and the role of the factors in explaining UFM disparity.Design/methodology/approach: The dataset of 6,398 single births (4,999 in rural and 1,399 in urban areas) from the 2012 Bhutan National Health Survey was analyzed. Logistic regression analysis accounting for the complex survey design was performed to investigate the determinants.Findings: The UFM rate was 2.75 times higher in rural than in urban Bhutan. In rural communities, children of younger mothers, born in households without safe sanitation and electricity, and central and eastern regions had increased UFM odds. Whereas, children born to working mothers and educated fathers, and born in households with non-working household heads had lower UFM odds in urban areas. A higher number of births and smaller household size was associated with an increased UFM odds irrespective of rural-urban residence. Environmental factors were attributable for the largest portion of rural UFM disadvantage.Originality/value: This study helps to understand the rural-urban differences in the factors influencing UFM in Bhutan. The findings suggest that policies aimed to improve environmental and socioeconomic conditions, women empowerment, and those aimed to enhance health utilization can help reduce the rural-urban child survival disparity and accelerate the achievement of the Sustainable Development Goal target.

Background: Sedentary behavior is associated with several adverse health outcomes. Data on factors that influence sedentary behavior are lacking in Bhutan. This study examined factors associated with increased sedentary behavior in Bhutan, with a focus on exploring sex differences.Methods: Data of 2,796 adults from the nationally representative 2014 Bhutan STEP-wise surveillance (STEPS) survey were analyzed. Factors associated with sedentary behavior were identified using backward elimination multiple logistic regression analysis, disaggregated by sex. The analysis accounted for the complex survey design used in the primary survey.Results: The overall prevalence of sedentary behavior was 8.2%, with a higher proportion among women than men (10.3% vs. 4.9%). In the full sample, female sex, being single, high education and income, urban residence, inadequate physical activity, and high blood sugar were associated with increased odds of sedentary behavior. Among females, those who had high education and income, were single, physically less active, and urban residents were more likely to be sedentary. Self-employment was related to reduced odds of sedentary behavior among women and in the overall sample population. In males, being single, higher education level, and urban residence were associated with sedentariness.Conclusion: The findings suggest that interventions targeting females, especially those who are physically less active and from higher socioeconomic groups, urban residents, and those with hyperglycemia can potentially help reduce sedentary behavior and avert the associated detrimental impacts.