Contraceptive uses among married women in Bangladesh: a systematic review and meta-analyses.

BACKGROUND: Although Bangladesh's economy has shown significant improvement over the past two decades, the high population growth rate has hindered development efforts. This study aimed to review the prevalence of different contraceptive methods used among women of reproductive age in Bangladesh, which could help control the population growth rate. METHODS: We conducted an extensive literature review and meta-analysis of 82 articles, identifying 20 articles for analysis. The analyses included heterogeneity and publication bias in published papers. RESULTS: The pooled prevalence of various contraceptive methods was as follows: condom use, 7.13%; Female Sterilization, 8.09%; injectables, 12.76%; intrauterine devices (IUDs), 3.76%; male sterilization, 2.34%; periodic abstinence, 6.71%; pills, 33.21%; and withdrawal, 3.27%. Modern contraceptive methods accounted for 62.91% of usage, while traditional methods constituted 8.79%. On average, only 1.95% of women opted for the implant method. The overall prevalence of contraceptive method usage was 59.48%, with 60.59% in urban areas and 54.54% in rural areas. We found statistically significant heterogeneity for all contraceptive methods used by women in Bangladesh. The funnel plot and Egger's test showed no publication bias for any of the contraceptive methods, except condoms (Z = 2.34, P = 0.0194). The contraceptive methods used by women in rural areas also showed publication bias (Z = -3.04, P = 0.0024). CONCLUSION: A renewed commitment from government bodies and independent organizations is needed to implement and monitor family planning strategies to ensure adherence to and provision of the most appropriate contraceptive method for couples.

Contribution of socio-economic and demographic factors to maternal and child malnutrition in Bangladesh: Insights from a nationwide survey.

Background: Malnutrition is a major global public health issue, especially for under five children and their mothers. Objective: This study examined the relationships between socio-economic and demographic characteristics and under- and over-nutrition in mothers and children of Bangladesh. Method: Using the Nationally representative Bangladesh Demographic and Health Survey (2017-18) data, we performed the multiple logistic regression analysis to assess the relationships between key outcome variables and predictors. The analysis included 8321 children aged 0-59 months and 7800 mothers aged 15-49 years. Findings: The prevalence of stunting, wasting, and overweight among children under five was 30.72%, 8.44%, and 2.21% respectively. About 2.74% of the children were both stunted and wasted, while 0.56% of the children were both stunted and overweight. The prevalence of underweight and overweight among mother was 14.09% and 26.35% respectively. Children who are stunted are significantly associated with the mother's BMI status, mothers' education, fathers' education, and wealth index, while children who are wasted are significantly associated with the mother's BMI status and the child's sex. A child's sex and birth order are significantly associated with children being overweight. Mother's age, mother's education, father's education, place of residence and wealth index are significant determinants for mothers being underweight, whereas mother's age, mother's occupation, father's education, father's occupation, place of residence and wealth index are significant determinants for mothers being overweight. Conclusion: In addition to essential nutrition interventions, it is vital to address the basic social-economic and demographic determinants.

Association of climate factors with dengue incidence in Bangladesh, Dhaka City: A count regression approach.

Background: In Bangladesh, particularly in Dhaka city, dengue fever is a major factor in serious sickness and hospitalization. The weather influences the temporal and geographical spread of the vector-borne disease dengue in Dhaka. As a result, rainfall and ambient temperature are considered macro factors influencing dengue since they have a direct impact on Aedes aegypti population density, which changes seasonally dependent on these critical variables. This study aimed to clarify the relationship between climatic variables and the incidence of dengue disease. Methods: A total of 2253 dengue and climate data were used for this study. Maximum and minimum temperature (°C), humidity (grams of water vapor per kilogram of air g.kg-1), rainfall (mm), sunshine hour (in (average) hours per day), and wind speed (knots (kt)) in Dhaka were considered as the independent variables for this study which trigger the dengue incidence in Dhaka city, Bangladesh. Missing values were imputed using multiple imputation techniques. Descriptive and correlation analyses were performed for each variable and stationary tests were observed using Dicky Fuller test. However, initially, the Poisson model, zero-inflated regression model, and negative binomial model were fitted for this problem. Finally, the negative binomial model is considered the final model for this study based on minimum AIC values. Results: The mean of maximum and minimum temperature, wind speed, sunshine hour, and rainfall showed some fluctuations over the years. However, a mean number of dengue cases reported a higher incidence in recent years. Maximum and minimum temperature, humidity, and wind speed were positively correlated with dengue cases. However, rainfall and sunshine hours were negatively associated with dengue cases. The findings showed that factors such as maximum temperature, minimum temperature, humidity, and windspeed are crucial in the transmission cycles of dengue disease. On the other hand, dengue cases decreased with higher levels of rainfall. Conclusion: The findings of this study will be helpful for policymakers to develop a climate-based warning system in Bangladesh.