Dataset Information

Effects of psychosocial and socio-environmental factors on anxiety disorder among adolescents in Bangladesh.

ABSTRACT:

Background

Anxiety is a common psychiatric disorder among adolescents in developing countries. This study aimed to examine the risk factors of anxiety disorder and the adverse consequences of anxiety disorder among adolescents in Bangladesh.

Methods

A total of 2,989 adolescent data of the 2014 Global School-based Student Health Survey (GSHS), Bangladesh, was analyzed WHO. The prevalence of anxiety disorder across psychosocial and socio-environmental factors was calculated as descriptive statistics, whereas their effects on occurring anxiety disorder were determined using the unadjusted and adjusted multivariable binary logistic regression model. The consequences of anxiety disorder were also determined using the multivariable binary logistic regression model.

Results

The prevalence of anxiety disorder was 4.7%, which was found higher among female than their male counterparts. The psychosocial factors were found associated with the anxiety disorder are loneliness (AOR: 2.26, 95% CI: 1.08-4.72), being bullied (AOR: 6.00, 95% CI: 3.14-11.47), and physical abuse (AOR: 2.12, 95% CI: 1.07-4.21). Moreover, poor understandings with parents (AOR: 1.75, 95% CI: 1.02-3.01) and lack of peer support (AOR: 2.23, 95% CI: 1.18-4.23) were the socio-environmental factors that found associated with the anxiety disorder. Subgroup analysis across gender found these associations were consistent for adolescent male and female. Moreover, the likelihood increased with the increasing number of the adverse psychosocial, or socio-environmental factors.

Conclusions

Around 5% of school-going adolescents in Bangladesh reported anxiety associated with the exposure of single or multiple adverse psychosocial and socio-environmental factors including bullying and physical abuse. Early screening and interventions are essential, targeted to adolescent at risk, which could reduce the rate of anxiety disorder among adolescent in Bangladesh.

SUBMITTER: Khan MMA

PROVIDER: S-EPMC7749541 | biostudies-literature | 2020 Dec

REPOSITORIES: biostudies-literature

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Publications

Effects of psychosocial and socio-environmental factors on anxiety disorder among adolescents in Bangladesh.

Khan Md Mostaured Ali MMA Khan Md Nuruzzaman MN

Brain and behavior 20201021 12

<h4>Background</h4>Anxiety is a common psychiatric disorder among adolescents in developing countries. This study aimed to examine the risk factors of anxiety disorder and the adverse consequences of anxiety disorder among adolescents in Bangladesh.<h4>Methods</h4>A total of 2,989 adolescent data of the 2014 Global School-based Student Health Survey (GSHS), Bangladesh, was analyzed WHO. The prevalence of anxiety disorder across psychosocial and socio-environmental factors was calculated as descr ...[more]

PMID: 33085214

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Project description:BackgroundTobacco, alcohol, and marijuana are the top three substances used by adolescents. The adverse health effects of these three substances are well documented in epidemiological literature, yet little is known about the substance use and associated factors among adolescents in Bangladesh. This study examines the risk factors for tobacco and other substances use among school-going adolescents in Bangladesh.MethodsWe analyzed data from the 2014 Bangladesh Global School-based Student Health Survey (GSHS) of adolescents aged 13-17 years. We used two outcome measures: tobacco use (TU) and other substance use (SU; alcohol and/or marijuana). We examined a set of reported psychosocial and socio-environmental adverse events as risk factors. Logistic regression analyses were used to identify associations.ResultsThe prevalence of TU and other SU among school-going adolescents was 9.6% and 2.3%, respectively. The likelihood of TU and other SU was higher among adolescents who reported being bullied (TU: adjusted odd ratio [AOR]: 1.93; 95% confidence interval [CI]: 1.24-3.00; and other SU: AOR: 3.43; 95% CI: 1.46-7.99) and having sexual history (TU: AOR: 19.38; 95% CI: 12.43-30.21; and other SU: AOR: 5.34; 95% CI: 2.17-13.29). Moreover, anxiety-related sleep loss was associated with adolescents' TU (AOR: 2.41; 95% CI: 1.02-5.82) whereas the likelihood of other SU (AOR: 3.27; 95% CI: 1.14-9.44) was higher among lonely adolescents. Experience of adverse socio-environmental factors, such as parental substance use (TU: AOR: 7.81; 95% CI: 5.08-12.01), poor monitoring (TU: AOR: 1.96; 95% CI: 1.16-3.31) and poor understanding (TU: AOR: 2.22; 95% CI: 1.36-3.65), and lack of peer support (TU: AOR: 3.13; 95% CI: 1.84-5.31; and other SU: AOR: 2.45; 95% CI: 1.02-5.91), and truancy (other SU: AOR: 4.29; 95% CI: 1.81-10.12) were also positively associated with TU and/or other SU. Additionally, higher odds of tobacco use were observed among adolescents who reported 1 (AOR: 4.36 times; 95% CI: 1.34-14.24), 2 (AOR: 8.69 95% CI: 1.67-28.23), and ≥3 (AOR: 17.46; 95% CI: 6.20-49.23) adverse psychosocial experiences than who did not report any psychosocial events.ConclusionsTobacco and other substance use among school-going adolescents are prevalent in Bangladesh. Several psychosocial and socio-environmental events are associated with TU and other SU, which should be incorporated into adolescent substance use and health promotion programs.

Project description:BackgroundDespite a steady decline in adolescent smoking globally, it remains a prevalent risk factor for non-communicable disease. Previous research points to differences in socio-environmental and psychosocial risk factors for smoking and how they vary across different settings with disparate social and cultural characteristics. As a result, smoking rates have remained disproportionately higher in some settings while decreasing in others. This study explored the socio-environmental and psychosocial risk factors for smoking susceptibility in a high-income and upper-middle income setting.MethodsCross-sectional data were obtained from 1,573 male and female adolescents aged 11-15 years who completed self-administered questionnaires in schools in Northern Ireland and Bogotá, Colombia. Using logistic regression analysis, we examined how socio-environmental and psychosocial predictors of smoking susceptibility compared across the two countries.ResultsIn Northern Ireland, reduced odds of smoking susceptibility were significantly associated with less family smoking (OR: 0.64, 95% CI: 0.41-1.00); having access to information about smoking in school (OR: 0.75, 95% CI: 0.59-0.96); negative attitudes towards smoking (OR: 0.35, 95% CI: 0.23-0.51); higher levels of openness (OR: 0.59, 95% CI: 0.50-0.69); and higher levels of self-reported wellbeing (OR: 0.57, 95% CI: 0.44-0.74). Increased odds of smoking susceptibility were associated with reporting less smoking of a mother (OR: 1.37, 95% CI: 1.06-1.76); higher levels of extraversion (OR: 1.40, 95% CI: 1.04-1.90); and receiving pocket money (OR: 1.20, 95% CI: 1.06-1.37). In Bogotá, reduced odds of smoking susceptibility were significantly associated with reporting less smoking among friends (OR: 0.86, 95% CI: 0.76-0.98); higher levels of self-efficacy (OR: 0.58, 95% CI: 0.40-0.83); greater perceived behavioural control to quit smoking (OR: 0.71, 95% CI: 0.56-0.90); and lower levels of truancy (OR: 0.69, 95% CI: 0.52-0.92). In Bogotá, no factors were associated with increased odds of smoking susceptibility in the final model.ConclusionsThe findings illustrate that there were differences in predictors of adolescent smoking susceptibility across the two settings. By using a comparative approach we demonstrate that smoking interventions and policies must be sensitive to the cultural and normative context within which they are implemented.

Project description:BackgroundLymphatic filariasis (LF) is a vector-borne parasitic disease which affects 70 million people worldwide and causes life-long disabilities. In Bangladesh, there are an estimated 44,000 people suffering from clinical conditions such as lymphoedema and hydrocoele, with the greatest burden in the northern Rangpur division. To better understand the factors associated with this distribution, this study examined socio-economic and environmental factors at division, district, and sub-district levels.MethodologyA retrospective ecological study was conducted using key socio-economic (nutrition, poverty, employment, education, house infrastructure) and environmental (temperature, precipitation, elevation, waterway) factors. Characteristics at division level were summarised. Bivariate analysis using Spearman's rank correlation coefficient was conducted at district and sub-district levels, and negative binomial regression analyses were conducted across high endemic sub-districts (n = 132). Maps were produced of high endemic sub-districts to visually illustrate the socio-economic and environmental factors found to be significant.ResultsThe highest proportion of rural population (86.8%), poverty (42.0%), tube well water (85.4%), and primary employment in agriculture (67.7%) was found in Rangpur division. Spearman's rank correlation coefficient at district and sub-district level show that LF morbidity prevalence was significantly (p<0.05) positively correlated with households without electricity (district rs = 0.818; sub-district rs = 0.559), households with tube well water (sub-district rs = 0.291), households without toilet (district rs = 0.504; sub-district rs = 0.40), mean annual precipitation (district rs = 0.695; sub-district rs = 0.503), mean precipitation of wettest quarter (district rs = 0.707; sub-district rs = 0.528), and significantly negatively correlated with severely stunted children (district rs = -0.723; sub-district rs = -0.370), mean annual temperature (district rs = -0.633.; sub-district rs = 0.353) and mean temperature (wettest quarter) ((district rs = -0.598; sub-district rs = 0.316) Negative binomial regression analyses at sub-district level found severely stunted children (p = <0.001), rural population (p = 0.002), poverty headcount (p = 0.001), primary employment in agriculture (p = 0.018), households without toilet (p = <0.001), households without electricity (p = 0.002) and mean temperature (wettest quarter) (p = 0.045) to be significant.ConclusionsThis study highlights the value of using available data to identify key drivers associated with high LF morbidity prevalence, which may help national LF programmes better identify populations at risk and implement timely and targeted public health messages and intervention strategies.

Project description:Anxiety disorders are a common problem in adolescent mental health. Previous studies have investigated only a limited number of risk factors for the development of anxiety disorders concurrently. By investigating multiple factors simultaneously, a more complete understanding of the etiology of anxiety disorders can be reached. Therefore, we assessed preadolescent socio-demographic, familial, psychosocial, and biological factors and their association with the onset of anxiety disorders in adolescence. This study was conducted among 1584 Dutch participants of the TRacking Adolescents' Individual Lives Survey (TRAILS). Potential risk factors were assessed at baseline (age 10-12), and included socio-demographic (sex, socioeconomic status), familial (parental anxiety and depression), psychosocial (childhood adversity, temperament), and biological (body mass index, heart rate, blood pressure, cortisol) variables. Anxiety disorders were assessed at about age 19 years through the Composite International Diagnostic Interview (CIDI). Univariate and multivariate logistic regression analyses were performed with onset of anxiety disorder as a dependent variable and the above-mentioned putative risk factors as predictors. Of the total sample, 25.7% had a lifetime diagnosis of anxiety disorder at age 19 years. Anxiety disorders were twice as prevalent in girls as in boys. Multivariate logistic regression analysis showed that being female (OR = 2.38, p < .01), parental depression and anxiety (OR = 1.34, p = .04), temperamental frustration (OR = 1.31, p = .02) and low effortful control (OR = 0.76, p = .01) independently predicted anxiety disorders. We found no associations between biological factors and anxiety disorder. After exclusion of adolescents with an onset of anxiety disorder before age 12 years, being female was the only significant predictor of anxiety disorder. Being female was the strongest predictor for the onset of anxiety disorder. Psychological and parental psychopathology factors increased the risk of diagnosis of anxiety, but to a lesser extent. Biological factors (heart rate, blood pressure, cortisol, and BMI), at least as measured in the present study, are unlikely to be useful tools for anxiety prevention and intervention strategies.

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Dataset Information

Effects of psychosocial and socio-environmental factors on anxiety disorder among adolescents in Bangladesh.

Background

Methods

Results

Conclusions

Publications

Effects of psychosocial and socio-environmental factors on anxiety disorder among adolescents in Bangladesh.

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