Unveiling the effects of living standards on diabetes and hypertension with the mediating role of overweight and obesity: a cross-sectional study in Bangladesh

OBJECTIVE

The purpose of the study was to ascertain how the standard of living is associated with the likelihood of developing diabetes and hypertension directly as well as indirectly through overweight and obesity.

STUDY DESIGN

The study used 2017-2018 Bangladesh Demographic and Health Survey data. It examined the household living standard (LSD) as the main factor, and body mass index (BMI) as a mediator. Outcomes included diabetes status, hypertension status and their co-occurrence. Structural equation modelling with logistic regression and bootstrapping were used for mediation analysis and computing bias-corrected SEs.

SETTING

The research was carried out in Bangladesh and included both male and female adults.

PARTICIPANTS

The study encompassed a total of 11 961 adults (5124 males and 6837 females) aged 18 years or older.

RESULTS

Among the participants, 10.3% had diabetes, 28.6% had hypertension and 4.9% had both conditions. The prevalence of diabetes, hypertension or both conditions was 18.5%, 33.5% and 9.7%, respectively, among those with a high LSD. Regression analysis demonstrated that individuals with high LSD had significantly elevated risks of these conditions compared with those with low LSD: 133% higher odds for diabetes (OR 2.22; 95% CI 1.97 to 2.76), 25% higher odds for hypertension (OR 1.25; 95% CI 1.10 to 1.42) and 148% higher odds for both conditions (OR 2.48; 95% CI 1.96 to 3.14). Moreover, the indirect effects of high LSD through obesity surpassed its direct effects for developing diabetes, hypertension or both conditions.

CONCLUSION

This study emphasises that with the enhancement of LSD, individuals often experience weight gain, resulting in elevated BMI levels. This cascade effect significantly amplifies the risks of diabetes, hypertension or both conditions. To counteract this concerning trajectory, policy interventions and targeted awareness campaigns are imperative. These efforts must prioritise the promotion of heightened physical activity and the mitigation of the overweight/obesity surge associated with rising LSD.

Examining the influence of correlates on different quantile survival times: infant mortality in Bangladesh

BACKGROUND

Several studies have identified factors influencing infant mortality, but, to the best of knowledge, no studies assessed the factors considering unequal effects on different survival times of infant mortality in Bangladesh. In this study, it was examined how a set of covariates behaves on different quantile survival times related with the infant mortality.

METHODS

Data obtained from Bangladesh multiple indicator cluster survey (BMICS), 2019 have been used for purpose of the study. A total of 9,183 reproductive women were included in the study who gave their most recent live births within two years preceding the survey. Kaplan-Meier product limit approach has been applied to find the survival probabilities for the infant mortality, and the log-rank test has also been used to observe the unadjusted association between infant mortality and selected covariates. To examine the unequal effects of the covariates on different quantile survival time of infant mortality, the Laplace survival regression model has been fitted. The results obtained from this model have also been compared with the results obtained from the classical accelerated failure time (AFT) and Cox proportional hazard (Cox PH) models.

RESULTS

The infant mortality in Bangladesh is still high which is around 28 per 1000 live births. In all the selected survival regression models, the directions of regression coefficients were similar, but the heterogenous effects of covariates on survival time were observed in quantile survival model. Several correlates such as maternal age, education, gender of index child, previous birth interval, skilled antenatal care provider, immediate breastfeeding etc. were identified as potential factors having higher impact on initial survival times.

CONCLUSION

Infant mortality was significantly influenced by the factors more in the beginning of the infant's life period than at later stages, suggesting that receiving proper care at an early age will raise the likelihood of survival. Policy-making interventions are required to reduce the infant deaths, and the study findings may assist policy makers to revise the programs so that the sustainable development goal 3.2 can be achieved in Bangladesh.

Skilled maternal healthcare and good essential newborn care practice in rural Bangladesh: A cross-sectional study

Background and Aims

Essential newborn care (ENC) practices play an important role in reducing the risk of infant mortality and morbidity. Therefore, more studies are needed on ENC practices. Skilled maternal healthcare can be a good strategy to increase the practice. Learn about the independent and joint effects of skilled maternal healthcare during pregnancy and childbirth on newborn care practices.

Methods

The study used a cross-sectional data obtained from Bangladesh Multiple Indicator Cluster Survey, 2019. To investigate the association between maternal healthcare utilization and good ENC practice (cord care, delayed bathing, and immediate breast-feeding), χ 2 test and t-test in bivariate and binary logistic regression analysis, respectively have been performed after taking into account complex survey design.

Results

Only about 24% (95% confidence interval [CI]: 22.95%-25.89%) women given birth at home in rural Bangladesh followed good newborn care practice. The results obtained from adjusted regression analysis showed that a woman was 24%, 49%, and 75% more likely of having good ENC practice if she received four or more skilled checkups during antenatal period only (adjusted odds ratios [AOR]: 1.24, 95% CI: 0.97, 1.60), received assistance from SBA during delivery only (AOR: 1.49, 95% CI 1.12, 1.97) and received skilled healthcare in both pregnancy and delivery (AOR: 1.75, 95% CI 1.13, 2.71), respectively compared to a woman who did not get an opportunity to receive skilled healthcare during pregnancy and delivery. Among the selected confounders, maternal age at birth, birth order, education of household heads and religion showed a significant association with good ENC practice.

Conclusion

The study revealed that proper maternal healthcare during pregnancy and childbirth from skilled health personnel can improve the rate of ENC practices. For this, more training programs should be started, especially at the community level, and health promotion activities are needed to create awareness about efficient maternal healthcare practices.

Risk assessment and evaluation of heavy metals concentrations in blood samples of plastic industry workers in Dhaka, Bangladesh

To assess the potential health risk caused by heavy metals twenty-six blood samples were collected from plastic industry workers based on ages and smoking status in Dhaka, Bangladesh. Heavy metals were analyzed with an atomic absorption spectrometer. The mean concentrations of Lead (Pb), Cadmium (Cd), Nickel (Ni), and Zinc (Zn) found in blood samples of the exposed workers were 32.78 ± 9.47, 1.08 ± 0.47, 1.42 ± 1.01, and 9.08 ± 1.95 μgL-1, respectively. The average heavy metal concentrations in blood samples of smoking workers show a narrow range of fluctuation than that of non-smoking workers. A review of different age groups of industry workers shows the workers between the ages of 26 and 40 are more likely to contaminated with Pb (35.90 ± 8.06 μgL-1) and Ni (1.61 ± 1.31 μgL-1). The higher level of Cd (1.26 ± 0.46 μgL-1) and Zn (9.91 ± 2.80 μgL-1) was found in >40 years old workers. The mean concentration in indoor dust samples of different industrial subsections reported as 40.27 ± 10.33, 3.24 ± 0.83, 18.08 ± 3.61, and 103.64 ± 8.16 mg kg-1 for Pb, Cd, Ni, and Zn, respectively. Exposed workers have relatively less critical health implications concluded from the average daily intake (ADI), hazard quotient (HQs), and hazard index (HI) values. The HI values of Pb, Cd, Ni, and Zn were reported as 2.0 × 10-2, 4.64 × 10-4, 1.62 × 10-3, and 5.49 × 10-4, respectively, which have imparted minimal risks (as HI < 1) to the health of the workers. The cancer risks of Pb, Cd, and Ni were reported as 1.46 × 10-10, 1.77 × 10-9, and 1.31 × 10-9, respectively lower than the threshold values. Therefore, the result divulged a potentially lower cancer risk compared to EPA limit value of 1 × 10-6 to 1 × 10-4 for exposed industrial workers.