Prevalence of emotional and behavioral problems among adolescents in Bangladesh.

BACKGROUND: Emotional and behavioral problems among adolescents is a global concern. Previous studies conducted in Bangladesh have highlighted the importance to effectively prevent and address emotional and behavioral problems among adolescents to improve their psychological well-being. Despite these efforts, there remains limited research specifically addressing emotional and behavioral problems, conduct disorders, hyperactivity/attention disorders, and peer relationship problems among adolescents in Bangladesh in terms of age, gender, grade, and location. To address this knowledge gap, the present study aimed to comprehensively investigate the prevalence of emotional and behavioral problems among school-going adolescents in Bangladesh. METHODS: The study employed a two-stage stratified cluster sampling technique to recruit a total of 1496 participants. The socio-demographic characteristics of the participants, such as age, gender, grade, location, birth order, family type, monthly family income, and parental education were collected. Emotional and behavioral problems were assessed using the Strength and Difficulties Questionnaire (SDQ), while the chi-square test and logistic regression were used to analyze the data with STATA software. RESULTS: The prevalence of emotional disorder was 9.09% (7.73 - 10.65%). The rate was 21.72% (19.70 - 23.88%) for conduct disorder, 6.21% (5.09 - 7.55%) for hyperactivity, and for peer-relationship problem, the rate was 15.10% (13.37 - 17.01%) among adolescents. Overall, gender, grade, location, monthly family income, and parental education were significantly associated with emotional and behavioral problems. More specifically, adolescent girls (OR = 2.90 for the emotional disorder), grade (8th: OR = 2.07, 9th: OR = 1.95, for the emotional disorder), urban residents (OR = 2.46, for conduct disorder; OR = 2.29, for hyperactivity; OR = 2.03, for peer-relationship problem), poor monthly family income (OR = 2.84, for peer-relationship problem) significantly increased the risk of psychiatric morbidity. CONCLUSION: The study highlights the need for school-based intervention programs to address adolescent emotional and behavioral problems. By targeting vulnerable individuals, these programs can effectively reduce mental health problems among adolescents.

Bangladesh Cerebral Palsy Register (BCPR): a pilot study to develop a national cerebral palsy (CP) register with surveillance of children for CP.

BACKGROUND: The causes and pathogenesis of cerebral palsy (CP) are all poorly understood, particularly in low- and middle-income countries (LMIC). There are gaps in knowledge about CP in Bangladesh, especially in the spheres of epidemiological research, intervention and service utilization. In high-income countries CP registers have made substantial contributions to our understanding of CP. In this paper, we describe a pilot study protocol to develop, implement, and evaluate a CP population register in Bangladesh (i.e., Bangladesh Cerebral Palsy Register - BCPR) to facilitate studies on prevalence, severity, aetiology, associated impairments and risk factors for CP. METHODS/DESIGN: The BCPR will utilise a modified version of the Australian Cerebral Palsy Register (ACPR) on a secured web-based platform hosted by the Cerebral Palsy Alliance Research Institute, Australia. A standard BCPR record form (i.e., data collection form) has been developed in consultation with local and international experts. Using this form, the BPCR will capture information about maternal health, birth history and the nature of disability in all children with CP aged <18 years. The pilot will be conducted in the Shahjadpur sub-district of Sirajgonj district in the northern part of Bangladesh. There are 296 villages in Shahjadpur, a total population of 561,076 (child population ~ 226,114), an estimated 70,998 households and 12,117 live births per annum. Children with CP will be identified by using the community based Key Informants Method (KIM). Data from the completed BPCR record together with details of assessment by a research physician will be entered into an online data repository. DISCUSSION: Once implemented, BCPR will be, to the best of our knowledge, the first formalised CP register from a LMIC. Establishment of the BCPR will enable estimates of prevalence; facilitate clinical surveillance and promote research to improve the care of individuals with CP in Bangladesh.

Infectious causes of childhood disability: results from a pilot study in rural Bangladesh.

PURPOSE: To identify the contribution of infectious aetiologies to major childhood disabilities in Bangladesh. METHODS: Active community-based survey was conducted for severe childhood disability using the Key Informants Method between September 2011 and March 2012 in a rural sub-district of Bangladesh. RESULTS: We screened 1069 children and identified 859 with severe disabilities. The mean age of the disabled children was 8.5 year and 42.9% were girls. The major forms of impairments/conditions were cerebral palsy (n = 324, 37.7%), hearing impairment (n = 201, 23.4%), physical impairment (n = 147, 17.1%), visual impairment (n = 49, 5.7%), cerebral palsy with epilepsy (n = 39, 4.5%) and epilepsy (n = 41, 4.7%). Congenital rubella syndrome was identified in 1.1% (n = 9). 7.1% disabilities resulted from clinically confirmed infections, and another 10.8% originated from probable infections; thus a total of 17.9% disabilities were related to an infectious origin. CONCLUSIONS: Infectious diseases appear to be one of the major causes of severe childhood disability in rural Bangladesh.

Adaptation and Validation of School Burnout Inventory-Bangla and Its Predictive Factors Among Adolescents.

School burnout (SB) among adolescents is a growing concern, yet there has been limited research in Bangladesh. This study aims to address this gap by validating the School Burnout Inventory (SBI) in Bangla and investigating the predictive factors of SB among high-school-going adolescents in Bangladesh. The study employed a cross-sectional design, recruiting participants from various high schools across urban and rural areas. Data were collected through self-reported questionnaires, which included information related to demographics, COVID-19, school burnout, daytime sleepiness, insomnia, and depression. The SBI-Bangla demonstrated high reliability and validity. The mean score of SB was 20.26 (±7.84). Significant differences in SB levels were observed across different age groups, grades, locations, mother's education levels, smoking status, and self-reported COVID-19 infection status. Multiple linear regression identified age (B = 0.647, p = .010), location (B = -1.043, p = .034), depression (B = 0.270, p < .001), daytime sleepiness (B = 0.208, p < .001), and insomnia (B = 0.662, p < .001) as significant predictors of SB. The final model explained 12.3% of the variance in SB scores. Enhancing sleep hygiene and addressing psychological issues may help reduce academic burnout. This study provides valuable baseline data that can inform future research and policy formulation aimed at reducing adolescent SB in Bangladesh.

Feature Contributions and Predictive Accuracy in Modeling Adolescent Daytime Sleepiness Using Machine Learning: The MeLiSA Study.

Background: Excessive daytime sleepiness (EDS) among adolescents poses significant risks to academic performance, mental health, and overall well-being. This study examines the prevalence and risk factors of EDS in adolescents in Bangladesh and utilizes machine learning approaches to predict the risk of EDS. Methods: A cross-sectional study was conducted among 1496 adolescents using a structured questionnaire. Data were collected through a two-stage stratified cluster sampling method. Chi-square tests and logistic regression analyses were performed using SPSS. Machine learning models, including Categorical Boosting (CatBoost), Extreme Gradient Boosting (XGBoost), Support Vector Machine (SVM), Random Forest (RF), K-Nearest Neighbors (KNN), and Gradient Boosting Machine (GBM), were employed to identify and predict EDS risk factors using Python and Google Colab. Results: The prevalence of EDS in the cohort was 11.6%. SHAP values from the CatBoost model identified self-rated health status, gender, and depression as the most significant predictors of EDS. Among the models, GBM achieved the highest accuracy (90.15%) and precision (88.81%), while CatBoost had comparable accuracy (89.48%) and the lowest log loss (0.25). ROC-AUC analysis showed that CatBoost and GBM performed robustly in distinguishing between EDS and non-EDS cases, with AUC scores of 0.86. Both models demonstrated the superior predictive performance for EDS compared to others. Conclusions: The study emphasizes the role of health and demographic factors in predicting EDS among adolescents in Bangladesh. Machine learning techniques offer valuable insights into the relative contribution of these factors, and can guide targeted interventions. Future research should include longitudinal and interventional studies in diverse settings to improve generalizability and develop effective strategies for managing EDS among adolescents.

Validation of the key informant method to identify children with disabilities: methods and results from a pilot study in Bangladesh.

PURPOSE: To assess whether the key informant method (KIM) is an effective method to identify children with disabling sensory or physical impairments, or epilepsy (tonic-clonic seizures), in a low-income setting. METHODS: In one subdistrict each, the Key Informants (KIs) were trained to recognize children with visual impairment, hearing impairment, physical impairment and epilepsy, respectively. In the fifth subdistrict, the KIs were trained to recognize all four conditions. RESULTS: Of the 2260 children identified by KIs, 1227 attended for examination (54%), of which 911 were diagnosed to have a disabling impairment (74%). KIM had a high sensitivity (average 98%) for case detection in all groups but specificity was lower (average 44%), particularly for hearing impairment. CONCLUSIONS: KIs were able to identify children with epilepsy, sensory and physical impairments. KIM is an effective and low-cost method to identify children with disability in a low-income setting.

Prevalence and associated factors of suicidal behaviors among Bangladeshi rural community people: Findings from the 'BD ComMen Study'.

BACKGROUND: Suicide is considered as one of the major public health concerns, which can be prevented with cost-effective and timely intervention. In Bangladesh, very few studies assessed the suicidal behavior of rural community people. Thus, this Bangladesh Community Mental Health Study (BD ComMen Study) attempted to understand the current situation of suicidality in Bangladeshi rural community people considering three-time frames: lifetime, past year, and past month. METHODS: A cross-sectional study was conducted in a rural community in Bangladesh between May 17 and 31, 2022, using a cluster sampling technique. Information on socio-demographics, COVID-19-related factors, depression, anxiety, insomnia, and suicidal behaviors was collected. The Chi-square test or Fisher's exact test and logistic regression were used to analyze the data. RESULTS: During their lifetime, 33.1% of the rural community people had suicidal thoughts, whereas 5.5% made a plan for suicide and 1.8% attempted suicide. The prevalence of past-year suicidal ideation was 3.9%, whereas 1.4% had a suicide plan. In addition, 0.6% had past-month suicidal thoughts, although none of them had planned or attempted suicide. The factors associated with suicidal behaviors included males, lower age, lower educational grade, low-earning jobs, living in a government-provided house, family history of mental health and suicide, and suffering from anxiety and insomnia. CONCLUSIONS: Suicidal behaviors among the rural community people are of great concern as most of the rural people in Bangladesh do not have enough mental health literacy for treatment-seeking due to a high level of mental health-related stigma. Thus, this study would likely help to initiate further studies and stimulate suicide prevention programs, because most suicide can be prevented.

Rapid assessment of avoidable blindness and cataract surgery coverage among forcibly displaced Myanmar Nationals (Rohingya refugees) in Cox's Bazar, Bangladesh.

AIM: To determine the prevalence and causes of blindness, vision impairment and cataract surgery coverage among Rohingya refugees aged ≥ 50 years residing in camps in Cox's Bazar, Bangladesh. METHODS: We used the Rapid Assessment of Avoidable Blindness (RAAB) methodology to select 76 clusters of 50 participants aged ≥ 50 years with probability proportionate to size. Demographic and cataract surgery data were collected using questionnaires, visual acuity was assessed per World Health Organization criteria and examinations were conducted by torch, and with direct ophthalmoscopy in eyes with pinhole-corrected vision <6/12. RAAB software was used for data entry and analysis. RESULTS: We examined 3,629 of 3800 selected persons (95.5%). Age and sex adjusted prevalence of blindness (<3/60), severe visual impairment (SVI; >3/60 to ≤6/60), moderate visual impairment (MVI; >6/60 to ≤6/18), and early visual impairment (EVI; >6/18 to ≤6/12) were 2.14%, 2.35%, 9.68% and 14.7% respectively. Cataract was responsible for 75.0% of blindness and 75.8% of SVI, while refractive error caused 47.9% and 90.9% of MVI and EVI respectively. Most vision loss (95.9%) was avoidable. Cataract surgical coverage among the blind was 81.2%. Refractive error was detected in 17.1% (n = 622) of participants and 95.2% (n = 592) of these did not have spectacles. In the full Rohingya cohort of 76,692, approximately 10,000 surgeries are needed to correct all eyes impaired (<6/18) by cataract, 12,000 need distance glasses and 73,000 require presbyopic correction. CONCLUSION: The prevalence of blindness was lower than expected for a displaced population, in part due to few Rohingya being ≥60 years and the camp's good access to cataract surgery. We suggest the United Nations High Commissioner for Refugees include eye care among recommended health services for all refugees with long-term displacement.

Prevalence of refractive error, presbyopia, and unmet need of spectacle coverage in a northern district of Bangladesh: Rapid Assessment of Refractive Error study.

PURPOSE: To determine the prevalence of refractive error (RE), presbyopia, spectacle coverage, and barriers to uptake optical services in Bangladesh. METHOD: Rapid assessment of refractive error (RARE) study following the RARE protocol was conducted in a northern district (i.e., Sirajganj) of Bangladesh (January 2010-December 2012). People aged 15-49 years were selected, and eligible participants had habitual distance and near visual acuity (VA) measured and ocular examinations were performed in those with VA<6/18. Those with phakic eyes with VA <6/18, but improving to ≥6/18 with pinhole or optical correction, were considered as RE and people aged ≥35 years with binocular unaided near vision of

The epidemiology of childhood blindness and severe visual impairment in Indonesia.

BACKGROUND: The magnitude of blindness among children in Indonesia is unknown. In this study, we aimed to define the magnitude and aetiology of childhood blindness in two parts of Indonesia. METHOD: Children aged 0-15 years, identified through key informant method and from special schools and community-based rehabilitation programme in Sumba and Yogyakarta, were assessed following WHO protocol and definitions for ophthalmological assessment and classification of visual impairment and blindness among children. RESULTS: Out of 195 children assessed, 113 had blindness/severe visual impairment (BL/SVI), 48 had visual impairment (VI) and 34 had no VI. 43.4% children with BL/SVI were female.The main anatomical site of BL/SVI was lens (n=35, 31.0%), followed by retina (n=13, 11.5%) and cornea (n=9, 8.0%). Among the known aetiologies, childhood factors predominated (n=14, 12.4%), followed by hereditary diseases (n=12, 10.6%) where parental consanguinity was found among 33.3% (n=4) of them. Overall, 77.8% (n=88) had avoidable causes of BL/SVI: 69.0% (n=78) treatable and 8.8% (n=10) preventable causes.The estimated prevalence of BL/SVI was 0.25 (95% CI 0.19 to 0.32) and 0.23 (95% CI 0.18 to 0.29) per 1000 children in Sumba and Yogyakarta, respectively. The estimated prevalence of cataract was 0.07 per 1000 children (95% CI 0.04 to 0.12) in Sumba and 0.05 per 1000 children (95% CI 0.03 to 0.09) in Yogyakarta. Based on our conservative estimates, there are 17 241 children with BL/SVI in Indonesia; 4270 are blind due to cataract. CONCLUSION: The magnitude of childhood BL/SVI in Sumba and Yogyakarta is high. Our study suggests that a large proportion of childhood BL/SVI in Indonesia is avoidable.

Generating Evidence for Program Planning: Rapid Assessment of Avoidable Blindness in Bangladesh.

PURPOSE: There is a lack of data on the prevalence and causes of blindness in Bangladesh, which is important to plan effective eye health programs and advocate support services to achieve the goals of Vision 2020. METHODS: We conducted a rapid assessment of avoidable blindness (RAAB) in 8 districts of Bangladesh (January 2010 - December 2012) to establish the prevalence and causes of blindness. People aged ≥50 years were selected, and eligible participants had visual acuity (VA) measured. Ocular examinations were performed in those with VA<6/18. Additional information was collected for those who had or had not undergone cataract surgery to understand service barriers and quality of service. RESULTS: In total, 21,596 people were examined, of which 471 (2.2%, 95% confidence interval, CI, 2.0-2.4%) were blind. The primary cause of blindness was cataract (75.8%). The majority of blindness (86.2%) was avoidable. Cataract and refractive error were the primary causes of severe visual impairment (73.6%) and moderate visual impairment (63.6%), respectively. Cataract surgical coverage for blind persons was 69.3% (males 76.6%, females 64.3%, P<0.001). The magnitude of blindness among people aged ≥50 years was estimated to be 563,200 people (95% CI 512,000-614,400), of whom 426,342 had un-operated cataract. CONCLUSIONS: In Bangladesh, the majority of blindness (86.2%) among people aged ≥50 years was avoidable, and cataract was the most important cause of avoidable blindness. Improving cataract surgical services and refraction services would be the most important step towards the elimination of avoidable blindness in Bangladesh.

Assessing the prevalence of sensory and motor impairments in childhood in Bangladesh using key informants.

OBJECTIVES: The study was conducted to determine whether trained key informants (KI) could identify children with impairments. DESIGN: Trained KI identified children with defined impairments/epilepsy who were then examined by a medical team at a nearby assessment centre (Key Informant Methodology: KIM). A population-based household randomised sample survey was also conducted for comparing the prevalence estimates. SETTING: Three districts in North Bangladesh. PARTICIPANTS: Study population of approximately 258 000 children aged 0-<18 years, within which 3910 children were identified by KI, 94.8% of whom attended assessment camps. In the household survey, 8120 children were examined, of whom 119 were identified with an impairment/epilepsy. MAIN OUTCOME MEASURES: Prevalence estimates of severe visual impairment (SVI), moderate/severe hearing impairment (HI), substantial physical impairment (PI) and epilepsy. RESULTS: Overall prevalence estimates of impairments, including presumed HI, showed significant differences comparing KIM (9.0/1000 (95% CI 8.7 to 9.4)) with the household survey (14.7/1000 (95% CI 12.0 to 17.3)). Good agreement was observed for SVI (KIM 0.7/1000 children: survey 0.5/1000), PI (KIM 6.2/1000 children: survey 8.0/1000) and epilepsy (KIM 1.5/1000 children: survey 2.2/1000). Prevalence estimates for HI were much lower using KIM (2/1000) compared to the survey (6.4/1000). Excluding HI, overall prevalence estimates were similar (KIM: 7.5/1000 children (95% CI 7.2 to 7.8) survey: 8.4/1000 (95% CI 6.4 to 10.4)). CONCLUSIONS: KIM offers a low cost and relatively rapid way to identify children with SVI, PI and epilepsy in Bangladesh. HI is underestimated using KIM, requiring further research.