A structured additive modeling of diabetes and hypertension in Northeast India

Risk factors for non-communicable diseases among Bangladeshi adults: an application of generalised linear mixed model on multilevel demographic and health survey data

OBJECTIVE

This study examines the risk factors associated with non-communicable diseases (NCDs), specifically diabetes mellitus (DM) and hypertension (HTN), among adults in Bangladesh, a lower-middle-income country. Given the rising prevalence of DM and HTN and their significant public health burden, this research aims to identify key socioeconomic, demographic and lifestyle-related determinants to inform targeted interventions.

DESIGN

The study used nationally representative cross-sectional data extracted from the Bangladesh Demographic and Health Survey conducted in 2017-2018.

SETTING

Bangladesh.

PARTICIPANTS

The study included 8013 women and 6691 men aged 18 and older who were eligible for blood pressure and blood glucose measurements.

PRIMARY OUTCOMES

Type 2 DM, HTN.

RESULTS

HTN was significantly associated with higher odds of diabetes (adjusted OR (AOR)=1.28, 95% CI: 1.14 to 1.43), while diabetes was associated with increased odds of HTN (AOR=1.24, 95% CI: 1.11 to 1.39). Individuals aged 40 years and older had 74.8% higher odds of diabetes (AOR=1.748, 95% CI: 1.58 to 1.993) and were 3.21 times more likely to have HTN (AOR=4.208, 95% CI: 3.781 to 4.685). Overweight individuals had 2.15 times higher odds of HTN compared with those with normal weight (AOR=2.154, 95% CI: 1.98 to 2.34). Wealthier individuals also showed significantly higher odds of both DM and HTN.

CONCLUSIONS

This study highlights the strong association between DM and HTN and identifies age, overweight status and higher socioeconomic class as key risk factors. These findings underscore the need for integrated public health strategies targeting NCD prevention and management in Bangladesh. Further research should explore longitudinal trends and the impact of targeted interventions on reducing the burden of NCDs.

The effects of substance use on non-communicable diseases among older adults aged 60 and above in the North-eastern States of India

INTRODUCTION

The North-eastern region of India has a relatively higher prevalence of substance use, which together with poor dietary practices and a lack of physical activity is one of the key risk factors for NCDs among older adults in the region. Understanding the prevalence of NCDs and their relationship to substance use can help develop preventive strategies and sensitization in North-eastern India.

OBJECTIVE

To assess the prevalence of NCDs and the strength of the association of substance abuse among the geriatric population of North-eastern states in India, for the development of preventive strategies.

METHODS

Data from the Longitudinal Ageing Study in India (LASI Wave-I, 2017-18) were drawn to develop this paper. The bi-variate and binary logistic regression analyses were carried out to predict the association between non-communicable diseases and substance use adjusting select socio-demographic characteristics.

RESULTS

The paper revealed the prevalence of NCDs among urban people (61.45%) is higher than among rural people (42.45%). Hypertension (37.29%) can be seen as the most prevalent disease among the following given NCDs followed by Diabetes (8.94%). The chances of having Cancer are nineteen times higher (OR = 19.8; C.I. = 18.82-20.83) if an individual has past smoking behaviour after controlling for socio-demographic and physical activity variables.

CONCLUSION

Since, the high prevalence of hypertension correlated with the high level of substance abuse, require immediate attention to develop appropriate intervention strategies for its control (substance abuse) and prevention of hypertension. In a lower middle-income country like India, preventive measures, rather than curative measures will be cost-effective and helpful.

Assessing body mass index stages, individual diabetes and hypertension history effects on the risk of developing hypertension among Ghanaians: A cross-sectional study

Background and Aims

This study aimed to understand the relationship between body mass index (BMI), diabetes and hypertension history, and other risk of hypertension among Ghanaians.

Methods

The BMI data are categorized according to the World Health Organization (WHO) definition. The data were obtained from the WHO Study on global AGEing and adult health (WHO SAGE) Ghana Wave 2. Descriptive statistics were used to summarize the variables, and the association between these variables and hypertension was assessed using the χ². Multivariable logistic regression was used to examine the relationship between hypertension and different BMI levels and other variables.

Results

Obesity class II individuals have about a 4-fold higher risk of developing hypertension compared to underweight individuals. Obesity class III, class I, and preobesity individuals have approximately a 3-fold higher risk. Normal weight is associated with increased hypertension risk. Both males and females show a significant increase in hypertension risk across all BMI categories. History of hypertension is linked to a 2.2-fold increased risk. Diabetes history is associated with hypertension when considering other factors. Elevated hypertension risk is observed among married, divorced, and widowed males then never married males. Only widowed females showed an increased risk. Older age significantly increases hypertension risk, particularly in females. Vegetable servings reduce hypertension risk, while fruit servings are associated with an increased risk. Vigorous exercise increases hypertension risk, particularly in females.

Conclusion

Regular check-ups are recommended for married, divorced, and widowed males, focusing on blood pressure (BP) levels. Regular exercise from young age helps lower BP in later years. Individuals with a history of hypertension should follow BP control measures. Encouraging the consumption of the right combination of vegetables and fruits can help lower BP. Female tobacco smoking should be strongly discouraged due to a 54% increased risk of developing hypertension.

Determinants of undernutrition and overnutrition among reproductive-age women in Bangladesh: Trend analysis using spatial modeling

BACKGROUND

Bangladesh is facing a dual burden of malnutrition, with high rates of undernutrition and increasing rates of overnutrition. The complex scenario of malnutrition in Bangladesh varies across different regions, making it a challenging public health concern to address.

OBJECTIVES

This study analyzes the spatial and temporal dependence of underweight and overweight Bangladeshi women of reproductive age.

METHODS

Nationally representative cross-sectional data from the Bangladesh Demographic and Health Surveys in 2014 and 2017-18 were utilized to study the changes in weight status in 15-49-year-old women who were either underweight or overweight. A Bayesian geo-additive regression model was used to account for non-linear and linear effects of continuous and categorical covariates and to incorporate spatial effects of geographical divisions.

RESULTS

The prevalence of overweight or obese women in rural, city corporations, and other urban areas increased significantly over the four years from 2014 to 2017-18. Women in the categories 'richer' and 'richest' were more likely to be overweight or obese. Women from Sylhet were more likely to be underweight in both survey years; however, the spatial effects were significant for underweight women in Mymensingh for the year 2017-18. Women in Rajshahi and Khulna were more likely to be overweight or obese in 2014, and women from Barishal and Chittagong were more likely to be overweight in the year 2017-18.

CONCLUSIONS

Underweight and overweight statuses in women vary unevenly across Bangladesh, with a substantially higher prevalence of overweight or obese women in more urbanized areas. The growing burden of overweight and obesity among Bangladeshi women should be addressed with interventions aimed at those in the reproductive age group.

Bayesian Spatial Modeling of Diabetes and Hypertension: Results from the South Africa General Household Survey

Determining spatial links between disease risk and socio-demographic characteristics is vital in disease management and policymaking. However, data are subject to complexities caused by heterogeneity across host classes and space epidemic processes. This study aims to implement a spatially varying coefficient (SVC) model to account for non-stationarity in the effect of covariates. Using the South Africa general household survey, we study the provincial variation of people living with diabetes and hypertension risk through the SVC model. The people living with diabetes and hypertension risk are modeled using a logistic model that includes spatially unstructured and spatially structured random effects. Spatial smoothness priors for the spatially structured component are employed in modeling, namely, a Gaussian Markov random field (GMRF), a second-order random walk (RW2), and a conditional autoregressive (CAR) model. The SVC model is used to relax the stationarity assumption in which non-linear effects of age are captured through the RW2 and allow the mean effect to vary spatially using a CAR model. Results highlight a non-linear relationship between age and people living with diabetes and hypertension. The SVC models outperform the stationary models. The results suggest significant provincial differences, and the maps provided can guide policymakers in carefully exploiting the available resources for more cost-effective interventions.

Identifying the latent classes of modifiable risk behaviours among diabetic and hypertensive individuals in Northeastern India: a population-based cross-sectional study

OBJECTIVE

To identify the latent classes of modifiable risk factors among the patients with diabetes and hypertension based on the observed indicator variables: smoking, alcohol, aerated drinks, overweight or obesity, diabetes and hypertension. We hypothesised that the study population diagnosed with diabetes or hypertension is homogeneous with respect to the modifiable risk factors.

DESIGN

A cross-sectional study using a stratified random sampling method and a nationally representative large-scale survey.

SETTING AND PARTICIPANTS

Data come from the fourth round of the Indian National Family Health Survey, 2015-2016. Respondents aged 15-49 years who were diagnosed with either diabetes or hypertension or both were included. The total sample is 22 249, out of which 3284 were men and 18 965 were women.

PRIMARY AND SECONDARY OUTCOME MEASURES

The observed variables used as latent indicators are the following: smoking, alcohol, aerated drinks, overweight or obesity, diabetes and hypertension. The concomitant variables include age, gender, education, marital status and household wealth index. Latent class model was used to simultaneously identify the latent class and to determine the association between the concomitant variables and the latent classes.

RESULTS

Three latent classes were identified and labelled as class 1: 'diabetic with low-risk lifestyle' (21%), class 2: 'high-risk lifestyle' (8%) and class 3: 'hypertensive with low-risk lifestyle' (71%). Class 1 is characterised by those with a high probability of having diabetes and low probability of smoking and drinking alcohol. Class 2 is characterised by a high probability of smoking and drinking alcohol and class 3 by a high probability of having high blood pressure and low probability of smoking and drinking alcohol.

CONCLUSIONS

Co-occurrence of smoking and alcohol consumption was prevalent in men, while excess body weight and high blood pressure were prevalent in women. Policy and programmes in Northeastern India should focus on targeting multiple modifiable risk behaviours that co-occur within an individual.