Malnutrition in all its forms and associated factors affecting the nutritional status of adult rural population in Bangladesh: results from a cross-sectional survey

INTRODUCTION: The burden of malnutrition is widely evaluated in Bangladesh in different contexts. However, most of them determine the influence of sociodemographic factors, which have limited scope for modification and design intervention. This study attempted to determine the prevalence of underweight, overweight and obesity and their modifiable lifestyle predictors in a rural population of Bangladesh. METHODS: This study was part of a cross-sectional study that applied the WHO Package of Essential Noncommunicable Disease Interventions in a rural area of Bangladesh to assess the burden of diabetes, hypertension and their associated risk factors. Census was used as the sampling technique. Anthropometric measurement and data on sociodemographic characteristics and behavioural risk factors were collected following the standard protocol described in the WHO STEP-wise approach. Analysis included means of continuous variables and multinomial regression of factors. RESULTS: The mean body mass index of the study population was 21.9 kg/m(2). About 20.9% were underweight, 16.4% were overweight and 3.5% were obese. Underweight was most predominant among people above 60 years, while overweight and obesity were predominant among people between 31 and 40 years. Higher overweight and obesity were noted among women. Employment, consumption of added salt and inactivity increased the odds of being underweight by 0.32, 0.33 and 0.14, respectively. On the other hand, the odds of being overweight or obese increased by 0.58, 0.55, 0.78, 0.21 and 0.25 if a respondent was female, literate, married, housewife and consumed red meat, and decreased by 0.38 and 0.18 if a respondent consumed added salt and inadequate amounts of fruits and vegetables, respectively. Consumption of added salt decreases the odds of being overweight or obese by 0.37. CONCLUSION: The study emphasised malnutrition to be a public health concern in spite of the dynamic sociodemographic scenario. Specific health messages for targeted population may help improve the nutritional status. Findings from further explorations may support policies and programmes in the future.