Raaj Kishore Biswas

Influence of distance between residence and health facilities on non-communicable diseases: an assessment over hypertension and diabetes in Bangladesh

Objective This paper reflected on the prevalence of hypertension and diabetes in Bangladesh, which is spreading rapidly in low-income countries. The rationale of constructing more health centers for addressing NCDs was assessed in this paper by determining the relationship between prevalence of NCDs, particularly hypertension and diabetes, and distance to health facilities. Methods From BDHS (Bangladesh Health and Demographic Survey) 2011 data set, 7544 samples were analyzed to demonstrate association between Non-communicable diseases (NCD) and distance from respondents’ home to health facilities like hospitals, community clinics, pharmacies or doctors’ chambers, and community facilities like market, post office or cinema hall. Bivariate analysis was conducted between accessibility to health facilities and prevalence of the diseases. The causal relationship between the spatial effects and the prevalence of the diseases were analyzed by applying Generalized Linear Mixed Model (GLMM) was fitted. Results Fitting linear mixed effect models, we found that hypertension and diabetes react differently with various spatial effects. Distance from home to hospital had significant effect (P < 0.001) on hypertension showing people living further from the facilities or town centers seemed to be less hypertensive, whereas diabetes showed no such affiliation. Conclusion Higher prevalence of diabetes (40.9%) over hypertension (26.5%) in people aging 35 or higher, have appeared to have caused the difference, which concluded that each non-communicable disease should be dealt to its own merit for policy making instead considering as a group of diseases.

Socioeconomic transition and its influence on body mass index (BMI) pattern in Bangladesh

RATIONALE, AIMS, AND OBJECTIVES Bangladesh is an underdeveloped country that has recently joined the ranks of low-middle-income countries. This study aims to investigate how socioeconomic and developmental factors have influenced women towards a shift in their body mass index (BMI). METHODS The trend was analysed using data on ever-married women from 6 nationwide surveys covering the years 1996 to 2014, conducted by the Bangladesh Demographic and Health Survey (BDHS). To assess the relationship between the socioeconomic factors and BMI, binary regression models were fitted for 6 surveys and forest plots were applied to display the results. RESULTS Factors such as age, education, residence, economic status, and contraceptive use were found to have had an increasing influence on BMI over the years that were being analysed. Age and education for women were potential factors influencing BMI. Growing urbanization and economic inequality were found to have been substantial over time, and marital status and contraceptive use were influential whilst the employment status of women held no consequence. CONCLUSIONS Rapid urbanization allied with growing wealth inequality and dietary alteration seems to have forced a change in the capacity of women in Bangladesh to control their weight. Additional information is still needed on such factors as the amount of time that women are inactive and sitting down, for example, as well as their daily calorie intake in order to assemble all the pieces for addressing necessary health policy changes in Bangladesh. These factors will also help to indicate a shift of focus from rural malnutrition to urban obesity.

Investment in Research and Development Compared to Military Expenditure: Is Research Worthwhile?

Abstract Both research and development (R&D) and military expenditure are pivotal areas for any country’s economy. However, most countries tend to spend more on military because of global insecurity and power politics. Nevertheless, this study shows the merit of R&D investment and how it contributes to the national human capital. An analysis was undertaken on the gap between R&D and military expenditure considering the Human Development Index (HDI) and Gross Domestic Product (GDP) of 76 countries for a period of 15 years (2000–2014). Mixed effect models were applied to adjust the effect of six different continents. The results showed that HDI has a positive bi-directional significant relationship with higher R&D investment. National spending on R&D builds human capital, which in turn contributes to public development over the years, unlike military expenditure that only marginally contributes towards GDP and makes no contribution to HDI.

Women’s opinion on the justification of physical spousal violence: a quantitative approach to model the most vulnerable households in Bangladesh

Bangladesh is a culturally conservative nation with limited freedom for women. A number of studies have evaluated intimate partner violence (IPV) and spousal physical violence in Bangladesh; however, the views of women have been rarely discussed in a quantitative manner. Three nationwide surveys in Bangladesh (2007, 2011, and 2014) were analyzed in this study to characterize the most vulnerable households, where women themselves accepted spousal physical violence as a general norm. 31.3%, 31.9% and 28.7% women in the surveys found justification for physical violence in household in 2007, 2011 and 2014 respectively. The binary logistic model showed wealth index, education of both women and their partner, religion, geographical division, decision making freedom and marital age as significant household contributors for women’s perspective in all the three years. Women in rich households and the highly educated were found to be 40% and 50% less likely to accept domestic physical violence compared to the poorest and illiterate women. Similarly, women who got married before 18 years were 20% more likely accept physical violence in the family as a norm. Apart from these particular groups (richest, highly educated and married after 18 years), other groups had around 30% acceptance rate of household violence. For any successful attempt to reduce spousal physical violence in the traditional patriarchal society of Bangladesh, interventions must target the most vulnerable households and the geographical areas where women experience spousal violence. Although this paper focuses on women’s attitudes, it is important that any intervention scheme should be devised to target both men and women.

Effect of sex and age on traumatic brain injury: a geographical comparative study

BackgroundTraumatic brain injury (TBI) is a much researched topic in medical health, which requires additional studies to understand various effects of demographic and geographic factors that can assist in developing the most effective treatments. Thousands of people of different ages are suffering from lifelong disabilities, either mild or severe, from TBI and the number is increasing. This study aims to increase our understanding of the effect of sex and age by applying five different statistical methods to evaluate the effect of these covariates on two independent TBI data sets representing patients from different geographical cohorts. A primary data was collected from Bangladesh and it was compared with CRASH (Corticosteroid Randomisation after Significant Head Injury) data, representing various countries around the world.MethodsThe outcome variable for TBI considered in this paper is Glasgow Outcome Scale, which is a four point scale. It was converted to a binary outcome scale for fitting of Fisher’s exact test, a test of proportions and a binary linear model. For analyzing ordinal outcomes, the proportional odds model and the sliding dichotomy model were fitted. As the sample size of the Bangladeshi data set was small, parametric bootstrapping was applied for the consistency of results.ResultsFemales were the worse sufferers of TBI compared to men, according to CRASH data set. The old (aged above 58 years) followed by adults (age 25 to 58) were the most vulnerable victims. Interaction effects concluded that old women tended to endure the worst outcomes of TBI. This conclusion came from the CRASH data set representing the world in general, whereas such effects were not present in the Bangladesh data set. Additional application of parametric bootstrapping for the smaller Bangladesh data set did not result into any significant outcome.ConclusionThe effect of gender and age could be stronger in some countries than others which is driving the significance in CRASH and was not found in Bangladesh. It reflects the necessity of incorporating geographic patterns as well as demographic features of patients while developing treatments and designing clinical trials.