Relationship of age, gender, hypertension history, and vulnerability perception with physical exercise compliance in elderly

Prevalence and Factors of Hypertension Among Bangladeshi Adults

INTRODUCTION

Hypertension is one of the leading causes of morbidity and mortality in developing countries, especially in South Asian countries including Bangladesh.

AIM

This study aimed to assess the prevalence, risk factors, and inequality of hypertension in Bangladesh.

METHODS

This study analyzed the Bangladesh Demographic and Health Survey data from 2017-2018. A total of 12,863 people aged 18 years and above were included in this study. Both bivariate and multivariate analyses were performed to observe the effects of different factors and reported as adjusted ORs (AORs) with 95% CIs. Concentration index and concentration curve were used to measure the inequality in the distribution of hypertension among people with varying socio-economic status.

RESULTS

This study found that the prevalence of hypertension was 27.43% while this rate was 28.43% among females and 26.11% among males. The prevalence was the highest (49.26%) among those from the highest age group and among individuals who belonged to the richest households (p < 0.001). The concentration index for hypertension was 0.07. Our study suggests that the risk of having hypertension was higher among respondents who were female, elderly, were overweight or obese; had diabetes; or were from Barisal and Rangpur divisions.

CONCLUSION

Our study showed that more than one quarter of respondents had hypertension. Early diagnosis and proper management of the risk factors for hypertension are crucial to halt this emerging public health problem. A joint effort involving public, private, and non-governmental organizations is necessary to tackle the burden of hypertension faced by Bangladesh and similar developing countries in South Asia.

The Impact of Street Space Perception Factors on Elderly Health in High-Density Cities in Macau—Analysis Based on Street View Images and Deep Learning Technology

The urban space environment has been proven to be related to the health of the elderly. However, as a high-density city, Macau’s limited urban space must cope with the growing population and the arrival of an aging society. In the existing studies, less attention has been paid to Macau, especially the relationship between Macanese elderly and urban space. This study uses Baidu Street View (BSV) on the Macau Peninsula and conducts field surveys to obtain street view data to evaluate the openness, greenness, interface coverage, and road area ratio of street space and its association with the physical and mental health of the elderly and social health. The results show that the data truly reflect the overall street space conditions on the Macau Peninsula. The street openness, greenery rate, and interface enclosure are all related to the elderly in various evaluations in areas with a higher population dependency index and aging index. Human space perception is related to health gain, and road area ratio is weaker than other indicators. The research results have certain policy implications and have practical significance for city managers and designers.