Factors Influencing in Developing Type II Diabetes among Married Women in Bangladesh: Data from Bangladesh Demographic and Health Survey 2011

Abstract

The present cross-sectional study was conducted to evaluate mid-upper arm circumference (MUAC) based undernutrition among Bengalee preschool children. This study was undertaken among 656 (326 boys; 330 girls) 3-5 years old rural Bengalee preschool children of Sagar Block, South 24 Parganas District, West Bengal, India. The MUAC was recorded according to standard procedure and nutritional status was evaluated using the World Health Organization (1995) guidelines. Age combined sex-specific mean values of MUAC among boys and girls were 14.58 (±0.90) cm and 14.48 (±0.85) cm respectively. Significant sex difference was observed at the age of 4 years (t=3.88, P=<0.001). Significant age variations were also found in mean MUAC. The overall prevalence of undernutrition was 25.61 percent. Boys (28.83%) were more undernourished than girls (22.42%). Prevalence of moderate undernutrition was more prevalent than severe undernutrition. Appropriate effective measures should be undertaken to reduce this undernutrition.

A quantile regression approach to identify risk factors for high blood glucose levels among Bangladeshi individuals

“…Among these factors, age, hypertension, physical activity‐based occupation, and BMI emerged as the primary risk factors for developing DM in Bangladesh. The findings align with other studies conducted in Bangladesh 7 , 10 , 12 , 39 , 40 , 41 and various other countries (India, 42 China, 24 Tiwan 43 ). All these researches highlight the significant variation in DM across different regions.…”

“…Numerous studies have been conducted to analyze the risk factors of DM in Bangladesh 7 , 8 , 9 , 10 and similar endemic countries, with most of the research suggesting that individual characteristics such as residence, age group, educational level, household level, that is, socioeconomic condition, as well as community and biological factors including gender, physical exercise, body mass index (BMI), and hypertension status associated with individuals high blood glucose levels. 7 , 11 , 12 , 13 These research studies employed a variety of predictive models, including the binary logistic regression, 10 , 14 multinomial logistic regression, 8 , 9 , 15 , 16 ordinal logistic, 17 , 18 probit regression, 19 , 20 and various machine learning algorithms 21 , 22 to investigate the influence of risk factors on DM. Most of these studies consider individuals' FPG level as the outcome variable and categorize it into different subcategories, such as nondiabetic, prediabetic, and diabetic.…”

Comorbidies of Blood Pressure and Blood Glucose: Challenges and Future Trends

“…Figure 3 shows how blood glucose is connected to blood pressure. Research shows that overweight problems in both males and females are closely related to hypertension and the risk of Diabetes or high blood glucose is also maximum for them [59]. It is a shocking fact to know that T2D can come also in small children and young people with obesity, high blood pressure, and other critical diseases.…”