Association between the frequency of television watching and overweight and obesity among women of reproductive age in Nepal: Analysis of data from the Nepal Demographic and Health Survey 2016

Prevalence and factors associated with undernutrition and overnutrition among ever-married adolescent girls in Bangladesh: an analysis of national surveys from 2004 to 2017

Nutritional impairment during adolescence may result in adverse physical and reproductive health outcomes. We investigated the prevalence and determined the factors associated with underweight and overweight/obesity among ever-married adolescent girls in Bangladesh. We used Bangladesh Demographic and Health Surveys data conducted in 2004, 2007, 2011, 2014, and 2017. A total of 7040 ever-married adolescent girls aged 15-19 years were included in this analysis. Prevalence of underweight (body mass index [BMI]<18.5 kg/m2) significantly decreased from 39.53% (95% CI = 36.71, 42.43) to 23.62% (95% CI = 21.35, 26.05) during 2004-2017 (p < 0.001). However, prevalence of overweight/obesity (BMI ≥ 23 kg/m2) significantly increased from 5.9% (95% CI = 4.67, 7.43) to 22.71% (95% CI = 20.39, 25.20) during the same period (p < 0.001). The girls with higher age (OR = 0.94, 95% CI = 0.90, 0.99, p = 0.023), higher level of education (OR = 0.60, 95% CI = 0.43, 0.83, p = 0.002), and richest wealth quintile (OR = 0.78, 95% CI = 0.62, 0.98, p = 0.035) had significantly lower risk of being underweight. Adolescent girls having more than one child (OR = 1.41, 95% CI = 1.15, 1.73, p = 0.001) were more likely to be underweight. Elderly adolescents with better economic status were more at risk of being overweight/obese (OR = 2.57, 95% CI = 1.86, 3.55, p < 0.001). Girls married to skilled/unskilled workers (OR = 0.58, 95% CI = 0.44, 0.77, p < 0.001) and persons involved in small businesses (OR = 0.66, 95% CI = 0.49, 0.89, p = 0.007) had lower risk of having a high BMI. Using contraceptive (OR = 0.8, 95% CI = 0.69, 0.94, p = 0.006) was negatively associated with overweight/obese. Although prevalence of undernutrition among ever-married adolescent girls is declining, the proportion of being overweight/obese is increasing in Bangladesh warranting effective strategies to improve adolescent nutrition.

Socio-demographic predictors of obesity among 12,975 adult ever married Egyptian women of reproductive age group: evidence from nationwide survey

AIM

We aimed to explore the predictors associated with obesity among adult ever-married Egyptian women aged 20-49 years based on the Egyptian Demographic and Health Survey (EDHS).

METHOD

We included adult ever married women from the EDHS conducted in 2014 that initially recruited 21,903 women. Univariate and multivariable analysis was conducted to identify socio-demographic predictors of women's obesity.

RESULT

We included 12,975 Egyptian women. Among them, 76% of the total respondents were obese where as 24% were with normal body mass index (BMI). In multivariable analysis, the results revealed that increasing age, higher wealth index, listening to radio at least once a week and women with primary and secondary education were at significant odds of developing obesity (p < 0.05). However, we found no association between residence of participants and the frequency of watching television upon the development of obesity (p > 0.05).

CONCLUSION

Appropriate and targeted interventions should be implemented among the Egyptian reproductive age women to reduce the obesity as well as non-communicable diseases load associated with obesity. National Health Service policy makers should take multilevel approach targeting high risk sub-groups to raise awareness and to provide prevention against obesity and the subsequent complications.

Healthy Lifestyle Beliefs Scale: Psychometric properties in Portuguese pregnant women

Healthy lifestyle during pregnancy influences the pregnant woman's and child's physical and mental health, impacting perinatal outcomes. Healthy lifestyle beliefs are predictors of lifestyle behaviors, requiring a valid and reliable instrument to assess them during prenatal care. The 16-item Healthy Lifestyle Belief Scale (HLBS) measures a person's beliefs about their ability to live a healthy lifestyle. This study aimed to examine the psychometric properties of a Portuguese version of the HLBS among pregnant women. A methodological study was developed in two phases: cross-cultural adaptation and evaluation of the psychometric properties of the Portuguese version in a nonprobability sample of 192 Portuguese pregnant women. The exploratory factor analysis suggested three subscales, which explained 53.8% of the total variance. Cronbach's α was 0.83 for the overall scale and for the subscales ranged between 0.71 and 0.81. The HLBS is a reliable and valid instrument to assist health professionals in assessing the ability of Portuguese pregnant women to adopt a healthy lifestyle. Assessing healthy lifestyle beliefs potentially contributes to the development of health behavior interventions in pregnant women and consequently improves perinatal outcomes through evidence-based practices.

Prevalence and Correlates of Underweight among Women of Reproductive Age in Nepal: A Cross-Sectional Study

This study aimed to examine the prevalence of underweight and determine the sociodemographic and household environmental correlates of underweight among women of reproductive age in Nepal. This study also compared the time trends in the prevalence of underweight with the trends in the prevalence of overweight and obesity. This cross-sectional study was a secondary data analysis of the nationally representative population-based Nepal Demographic and Health Surveys (NDHSs). Firstly, the time trends of the prevalence of underweight (body mass index (BMI) < 18.5 kg/m2) among women aged 15-49 years were examined at five-year intervals, from the 1996, 2001, 2006, 2011, and 2016 NDHSs (n = 33,507). Secondly, the sociodemographic and household environmental correlates of underweight were examined from the latest NDHS 2016 (n = 6165). Univariable and multivariable logistic regression analyses were performed to examine the sociodemographic and household environmental correlates of underweight. From 1996 to 2016, the prevalence of underweight decreased from 25.3% (95% confidence interval (CI) 23.8%, 26.8%) to 16.9% (95%CI 16.0%, 17.8%), while the prevalence of overweight and obesity increased from 1.6% (95%CI 1.2%, 2.1%) to 15.6% (95%CI 14.7%, 16.5%) and 0.2% (95%CI 0.1%, 0.4%) to 4.1% (95%CI 3.6%, 4.6%), respectively. Sociodemographic factors, such as age, educational status, marital status, wealth index, and religion, were independently associated with the risk of underweight. Similarly, household environmental factors, such as province of residence, ecological zone, type of toilet facility, and household possessions, including television and mobile phone, were independently associated with the risk of underweight. Despite the declining trends, the prevalence of underweight among Nepalese women remains a public health challenge. Understanding the key sociodemographic and household environmental correlates of underweight may assist in streamlining the content of health promotion campaigns to address undernutrition and potentially mitigate adverse health outcomes.

Trends in television viewing and overweight /obesity among Nepalese women: Findings from 2006, 2011 and 2016 Nepal Demographic and Health Surveys

BACKGROUND AND AIMS

Associations between overweight/obesity and television (TV) viewing have been identified in high-income countries, but little evidence is available from low- and middle-income countries. This study examined the trends and correlates of television viewing and overweight/obesity among Nepalese women between 2006 and 2016.

METHODS AND RESULTS

We analysed the data from 22,161 women aged 15-49 years who took part in Nepal Demographic Health Surveys 2006 (n = 10,115), 2011 (n = 5,881) or 2016 (n = 6,165). Trained staff collected data on TV viewing and sociodemographic attributes from a face-to-face survey while height and weight were measured objectively to determine body mass index. Around 38% of the study participants watched TV at least once a week in 2006, which increased to 49% in 2011 and 46% in 2016. The prevalence of overweight and obesity increased from 8% in 2006 to 14.6% in 2011 and 19.8% in 2016. Compared to those who did not watch TV at all, those watching it at least once a week were at 1.54 (95% CI: 1.02-2.33), 1.79 (95% CI: 1.23-2.60) and 1.46 (95% CI: 1.13-1.88) times higher odds of being overweight/obese in 2006, 2011 and 2016 respectively.

CONCLUSION

The prevalence of TV viewing rose among women in Nepal between 2006 and 2016 and was associated with overweight/obesity, which also increased dramatically over this period. Future studies examining the use of multiple screen devices, daily usage duration and content viewed are recommended to understand better the health impacts of transitions to more sedentary living in Nepal and similar settings.

Determinants of Overweight or Obesity among Men Aged 20-59 Years: A Case-Control Study Based on the 2016 Ethiopian Demographic and Health Survey

BACKGROUND

Evidence shows that overweight or obesity has become a major public health problem in both developed and developing countries. However, there are limited studies conducted to identify the risk factors of overweight or obesity in Ethiopia. Therefore, this study aimed to assess the determinants of overweight or obesity among men aged 20-59 years in Ethiopia.

METHODS

This study used the 2016 Ethiopian Demographic and Health Survey (EDHS) data. A case-control study was conducted based on the EDHS data; cases were men who were overweight or obese, depending on their body mass index, and controls were men with normal body mass index. Bivariate and multivariate binary logistic regression was performed to assess the determinants of overweight or obesity among the study participants.

RESULTS

A total of 610 cases and 2440 controls were included in this study. Men aged 30-39 years (adjusted odds ratio (AOR) = 2.2, 95% CI: 1.6-3.0) and ≥40 years (AOR = 3.4, 95% CI: 2.5-4.7) had higher odds of being overweight or obese compared to men aged 20-29 years old. The likelihood of overweight or obesity was significantly higher among married men (AOR = 1.5, 95% CI: 1.1-2.0), living in urban areas (AOR = 3.1, 95% CI: 2.1-4.4), those in the rich wealth quintile (AOR = 1.9, 95% CI: 1.2-2.9), and those with primary (AOR = 1.6, 95% CI: 1.1-2.3), secondary (AOR = 2.6, 95% CI: 1.7-3.9), and higher education (AOR = 3.6, 95% CI: 2.4-5.6). Additionally, men watching television at least once a week had higher odds (AOR = 1.5, 95% CI: 1.1-2.1) of being overweight or obese.

CONCLUSION

Men in the higher wealth quintile, older age, married, higher educational status, watching television at least once a week, urban dwellers, residents of big cities such as Addis Ababa and Harari, and residents of low land like Afar were more likely to be overweight or obese. Therefore, it is essential to design strategies and programs to reduce or prevent overweight or obesity with a special focus on the identified risk factors.

Overweight and obesity among women of reproductive age in Mali: what are the determinants?

Background

Existing evidence suggests that there has been a surge of overweight and obesity in low- and middle-income countries around the world. In this study we investigated the prevalence and factors associated with overweight and obesity among women in Mali.

Methods

We conducted the study among 5198 women using the 2018 Mali Demographic and Health Survey data. We used binary logistic regression for the analysis and pegged statistical significance at p<0.05.

Results

The prevalence of overweight and obesity was 26.9%. The likelihood of overweight and obesity was high among women 40–44 y of age (adjusted odds ratio [AOR] 5.94 [confidence interval {CI} 4.10 to 8.60]), those who were widowed/divorced/separated (AOR 1.59 [CI 1.04 to 2.43]), those with secondary education (AOR 1.41 [CI 1.13 to 1.75]), richest women (AOR 3.61 [CI 2.63 to 4.95]), those who watched television at least once a week (AOR 1.28 [CI 1.07 to 1.52]) and those who lived in the Kidal region (AOR 10.71 [CI 7.05 to 16.25]). Conversely, the likelihood of overweight and obesity was low among women who belonged to other religions compared with Muslims (AOR 0.63 [CI 0.43 to 0.92]).

Conclusions

This study found a predominance of overweight and obesity among women in Mali. The study showed that age, marital status, education, religion, region of residence, wealth status and frequency of watching television are associated with overweight and obesity among women in Mali. It is therefore critical for public health promotion programs in Mali to sensitize people to the negative effects associated with overweight and obesity. This implies that policies aimed at controlling overweight and obesity in Mali must take these factors into consideration.