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Background Early initiation of breastfeeding (EIBF) is referred as providing the breast milk to the newborn within one hour of birth which ensures that the infant receives the colostrum. The aim of this study was to identify the risk factors associated with early initiation of breastfeeding among mothers in Rajshahi district, Bangladesh. Methods The data was collected from mothers living in Rajshahi district who had at least one child aged 6–24 months from January to March, 2019. The EIBF was measured by a question to mother, “did you provide your breast milk to your infant within one hour after delivered? Frequency distribution, Chi-square and multivariable binary logistic regression model were utilized in this study for getting prevalence and influential factors of EIBF. Results This study revealed that the prevalence of EIBF was 88.4%. Logistic model provided that place of delivery, family monthly income, husbands’ education level, mothers’ nutritional status, mothers’ age, husbands’ occupation, getting pregnancy with planning, mothers taking advice regarding the benefit of breastfeeding during their pregnancy were the influential factors of EIBF among mothers in Rajshahi district, Bangladesh. Conclusions This study identified several modifiable influential factors of EIBF. The customs, culture and other characteristics are almost same across the country in Bangladesh. These factors could be considered to increase the rate of EIBF among mothers in Bangladesh.

Background: Early initiation of breastfeeding (EIBF) act as the first immunization for the newborns, fortify their immune defense system and eventually reduce the mortality rate. This study aimed to identify the influential factors of EIBF among mothers in Rajshahi district, Bangladesh.Methods: A total number of 421 mothers living in Rajshahi district who had at least one child aged 6-24 months were considered as sample. Mothers were selected using multistage random sampling. This study was conducted from January to March, 2019. The EIBF was measured by a principal question, “Did you provide your breast milk to your newborns within one hour after delivery?” Frequency distribution and Chi-square test and multivariable binary logistic regression model were utilized in this study for getting prevalence and influential factors of EIBF respectively. Results: This study revealed that the prevalence of EIBF among mothers in Rajshahi district was 88.4%. Multivariable logistic model provided eight influential factors of EIBF: (i) husbands’ education level, (ii) husbands’ occupation, (iii) family monthly income, (iv) mothers’ age, (v) mothers’ BMI, (vi) place of delivery, (vii) getting pregnancy with planning, and (viii) mothers taking advice regarding the benefit of breastfeeding during their pregnancy. Conclusions: This study identified several modifiable influential factors of EIBF. The customs, culture and other characteristics are almost the same across the country. These factors could be considered to increase the rate of EIBF among mothers in Bangladesh.

Background Nutritional status is an important indicator of health status among adults. However, to date, there exists scanty information on the nutritional status of tribal populations of Bangladesh. The aim of the study was to investigate the nutritional status of tribal (T) and non-tribal (NT) adult people living in the rural area of Rajshahi district, Bangladesh. Methods A total of 420 (72 T and 348 NT) households were studied. The samples were selected using multistage stratified sampling with proportional allocation. The nutritional status of adults was measured using body mass index (BMI). Descriptive statistics, t-test, ANOVA and Z-proportional test were utilized for data analysis. Results The study revealed that 8.3% and 9.2% of T and NT men were suffering from under nutrition respectively, while the corresponding figures in women were 12.5% and 10.1% respectively. Overall, 11.1% and 27.0% men, and 13.9% and 29.3% women T and NT were over-nourished respectively. The rate of over nutrition among T was significantly (p<0.05) higher than NT for both sexes. The mean weight and BMI of the NT men were significantly (p<0.01) higher than T men. The mean weight, height and BMI of NT women were higher (p<0.05) than T women. ANOVA demonstrated that the variation in BMI among education levels of NT men and the variation among occupation for both ethnicities were significant (p<0.01). The variation in BMI among education levels and occupation of T and NT women were significant (p<0.05), moreover ordinal logistic regression model demonstrated that hygienic toilet facilities and father’s occupation were predictors of nutritional status. The interaction effects of education and occupation, and education and household monthly income on BMI were significant (p<0.01) for T men and both T and NT women (p<0.05). Conclusions The prevalence of over-nutrition among NT is higher than T for both sexes. Some socio-economic and demographic factors were found as predictors of malnutrition. At least 12 of the 17 Sustainable Development Goals (SDGs) contain indicators that are highly related to nutrition, our findings can help Bangladesh Government for achieving SDGs by 2030. Appropriate nutritional intervention and awareness programmes can be initiated by the Government to ameliorate the burden of malnutrition among adults in the country.