Prevalence of diabetes and prediabetes and their risk factors among Bangladeshi adults: a nationwide survey

Objective To estimate the prevalence of diabetes and prediabetes in Bangladesh using national survey data and to identify risk factors. Methods Sociodemographic and anthropometric data and data on blood pressure and blood glucose levels were obtained for 7541 adults aged 35 years or more from the biomarker sample of the 2011 Bangladesh Demographic and Health Survey (DHS), which was a nationally representative survey with a stratified, multistage, cluster sampling design. Risk factors for diabetes and prediabetes were identified using multilevel logistic regression models, with adjustment for clustering within households and communities. Findings The overall age-adjusted prevalence of diabetes and prediabetes was 9.7% and 22.4%, respectively. Among urban residents, the age-adjusted prevalence of diabetes was 15.2% compared with 8.3% among rural residents. In total, 56.0% of diabetics were not aware they had the condition and only 39.5% were receiving treatment regularly. The likelihood of diabetes in individuals aged 55 to 59 years was almost double that in those aged 35 to 39 years. Study participants from the richest households were more likely to have diabetes than those from the poorest. In addition, the likelihood of diabetes was also significantly associated with educational level, body weight and the presence of hypertension. The prevalence of diabetes varied significantly with region of residence. Conclusion Almost one in ten adults in Bangladesh was found to have diabetes, which has recently become a major public health issue. Urgent action is needed to counter the rise in diabetes through better detection, awareness, prevention and treatment

Changing patterns of fruit and vegetable intake in countries of the former Soviet Union.

OBJECTIVE: To assess how the frequency of low fruit and vegetable consumption has changed in countries of the former Soviet Union (FSU) between 2001 and 2010 and to identify factors associated with low consumption. DESIGN: Cross-sectional surveys. A standard questionnaire was administered at both time points to examine fruit and vegetable consumption frequency. Logistic regression analysis was used to examine the relationship between demographic, socio-economic and health behavioural variables and low fruit and vegetable consumption in 2010. SETTING: Nationally representative population samples from Armenia, Azerbaijan, Belarus, Georgia, Kazakhstan, Kyrgyzstan, Moldova, Russia and Ukraine. SUBJECTS: Adults aged 18 years and older. RESULTS: Between 2001 and 2010 notable changes occurred in fruit and vegetable consumption in many countries resulting in a slight overall deterioration in diet. By 2010 in six countries about 40% of the population was eating fruit once weekly or less often, while for vegetables the corresponding figure was in excess of 20% in every country except Azerbaijan. A worse socio-economic situation, negative health behaviours (smoking and alcohol consumption) and rural residence were all associated with low levels of fruit and vegetable consumption. CONCLUSIONS: International dietary guidelines emphasise the importance of fruit and vegetable consumption. The scale of inadequate consumption of these food groups among much of the population in many FSU countries and its link to socio-economic disadvantage are deeply worrying. This highlights the urgent need for a greater focus to be placed on population nutrition policies to avoid nutrition-related diseases in the FSU countries

Determinants and Projections of Minimum Acceptable Diet among Children Aged 6–23 Months: A National and Subnational Inequality Assessment in Bangladesh

Subnational evidence on the level of inequality in receiving complementary feeding practice among Bangladeshi children is lacking. This study estimated inequality in the minimum acceptable diet (MAD) among Bangladeshi children aged 6–23 months, and identified risk factors for and developed projections of the MAD up to 2030. Data from the Bangladesh Demographic and Health Survey 2017–2018 were used in this cross-sectional study. Regression-based slope (SII) and relative index of inequality (RII) were used to quantify the level of absolute and relative inequality, respectively. A Bayesian logistic regression model was used to identify the potential determinants of a MAD and project prevalence up to 2030. About 38% of children aged 6–23 months received a MAD. The national prevalence of a MAD was 26.0 percentage points higher among children from the richest compared to the poorest households, and 32.1 percentage points higher among children of higher-educated over illiterate mothers. Socioeconomic inequality was found to be the highest in the Chattogram division (SII: 43.9), while education-based inequality was highest in the Sylhet division (SII: 47.7). Maternal employment and the number of ANC visits were also identified as significant determinants of a MAD, and the prevalence of a MAD was projected to increase from 42.5% in 2020 to 67.9% in 2030. Approximately two out of five children received a MAD in Bangladesh and significant socioeconomic and education-based inequalities in the MAD were observed. Subnational variation in socioeconomic and education-based inequalities in the MAD requires further public health attention, and poverty reduction programs need to be strengthened

Trends in, and projections of, indicators of universal health coverage in Bangladesh, 1995–2030: a Bayesian analysis of population-based household data

Background: Many countries are implementing health system reforms to achieve universal health coverage (UHC) by 2030. To understand the progress towards UHC in Bangladesh, we estimated trends in indicators of the health service and of financial risk protection. We also estimated the probability of Bangladesh's achieving of UHC targets of 80% essential health-service coverage and 100% financial risk protection by 2030. Methods: We estimated the coverage of UHC indicators—13 prevention indicators and four treatment indicators—from 19 nationally representative population-based household surveys done in Bangladesh from Jan 1, 1991, to Dec 31, 2014. We used a Bayesian regression model to estimate the trend and to predict the coverage of UHC indicators along with the probabilities of achieving UHC targets of 80% coverage of health services and 100% coverage of financial risk protection from catastrophic and impoverishing health payments by 2030. We used the concentration index and relative index of inequality to assess wealth-based inequality in UHC indicators. Findings: If the current trends remain unchanged, we estimated that coverage of childhood vaccinations, improved water, oral rehydration treatment, satisfaction with family planning, and non-use of tobacco will achieve the 80% target by 2030. However, coverage of four antenatal care visits, facility-based delivery, skilled birth attendance, postnatal checkups, care seeking for pneumonia, exclusive breastfeeding, non-overweight, and adequate sanitation were not projected to achieve the target. Quintile-specific projections showed wide wealth-based inequality in access to antenatal care, postnatal care, delivery care, adequate sanitation, and care seeking for pneumonia, and this inequality was projected to continue for all indicators. The incidence of catastrophic health expenditure and impoverishment were projected to increase from 17% and 4%, respectively, in 2015, to 20% and 9%, respectively, by 2030. Inequality analysis suggested that wealthiest households would disproportionately face more financial catastrophe than the most disadvantaged households. Interpretation: Despite progress, Bangladesh will not achieve the 2030 UHC targets unless the country scales up interventions related to maternal and child health services, and reforms health financing systems to avoid high dependency on out-of-pocket payments. The introduction of a national health insurance system, increased public funding for health care, and expansion of community-based clinics in rural areas could help to move the country towards UHC. Funding: Japan Ministry of Health, Labour, and Welfare