Prevalence of underweight, overweight and obesity and their associated risk factors in Nepalese adults: Data from a Nationwide Survey, 2016

Prevalence and contributing factors of intestinal parasitic infections among school children with malnutrition in Hetauda, Nepal: A cross-sectional study

Background and Aims

With existing undernutrition in the developing world, the prevalence of obesity is increasing rapidly. Some studies reported an association of intestinal parasitic infection (IPIs) with undernutrition while few recent studies reported an inverse association of IPIs with overweight and obesity. This study evaluated the comparative risk and associated factors of IPIs among under (body mass index [BMI] < 18.5), normal (BMI: 18.5-24.9) and overweight (BMI > 24.9) school-aged adolescents.

Methods

A total of 105 fecal samples were collected, with 35 samples from each group. The collected samples were tested for the presence of intestinal parasites via concentration method, and the parasites were identified morphologically.

Results

Overall prevalence of IPIs was 5.71% with 3 protozoa viz Giardia lamblia (2.86%), Entamoeba histolytica (1.90%) and Endolimax nana (0.95%). Univariate and multivariable regression analysis indicated none of the nutritional, socioeconomic status, demographic, lifestyle and behavioral characteristics were significantly associated with the prevalence of overall IPIs. Yet, significant numbers of male reported undernutrition and elevated risk of IPIs in this study population.

Conclusion

Despite low prevalence of IPIs in this study, risk of IPIs is attributable to individual differences in behavior like "not using soap for hand washing". Relatively elevated malnutrition with risky hygiene behaviors, male adolescents appeared as risky cluster of school age population.

Being underweight, academic performance and cognitive control in undergraduate women

The prevalence of underweight among young women is a serious international health issue. However, the evidence on how being underweight negatively affects brain health and cognition is still unclear. This study investigated the association between underweight status, academic performance, and neurocognitive control in young Japanese women using a cross-sectional design. We analyzed the academic performance of female undergraduates, comparing underweight and healthy-weight groups (n = 43; age 18-23 years, M = 21.1, SD = 1.3) based on their grade point average (GPA). We also analyzed their error-related negativity (ERN), an electrophysiological measure that potentially reflects academic performance, during an arrowhead version of the flanker task to assess cognitive control of action monitoring. Participants with a low body mass index were found to have lower GPAs. Furthermore, the underweight students exhibited smaller ERN amplitudes, which indicates decreased cognitive control in action monitoring. These findings suggest that a healthy weight status is essential for effective cognitive functioning and academic success in young adult women, among whom being underweight is a serious health problem.

Double burden of malnutrition and associated factors among women of reproductive age in sub-Saharan Africa: a multilevel multinomial logistic regression analysis

BACKGROUND

Globally, malnutrition among women of reproductive age is on the rise and significantly contributing to non-communicable disease, deaths and disability. Even though the double burden of malnutrition (DBM) is a common problem among women in sub-Saharan Africa (SSA), there are limited studies examining the factors contributing to underweight, overweight, and obesity at the SSA level.

OBJECTIVE

To determine the factors associated with the DBM, and their relative magnitude, among women of reproductive age in SSA.

DESIGN

Cross-sectional study design.

SETTING

33 SSA countries.

PARTICIPANTS

240 414 women of reproductive age.

PRIMARY AND SECONDARY OUTCOME MEASURES

A multilevel multinomial logistic regression model was applied to identify factors associated with malnutrition. The adjusted relative risk ratio with 95% CI was used to declare the statistical significance of the association.

RESULTS

The pooled prevalence of underweight, overweight and obesity among women in SSA were 8.87%, 16.47% and 6.10%, respectively. Women who are from rural residence and smoke cigarettes were more likely to be underweight. Conversely, women between the age of 24-34 and 35-49, who have higher education, belong to a middle and rich household, are ever married, have high parity, use contraceptives, have media exposure and smoke cigarettes were more likely to be overweight and/or obese.

CONCLUSION

The findings of our study suggest that certain factors such as residence, education status, wealth, marital status, occupation, cigarette smoking, and contraceptive use have a significant assocation with malnutrition among women. Therefore, it is important for public health programs aimed at preventing the double burden of malnutrition to focus on these factors through comprehensive public awareness and cost-effective operational health interventions.

Assessing risk factors for malnutrition among women in Bangladesh and forecasting malnutrition using machine learning approaches

BACKGROUND

This paper presents an in-depth examination of malnutrition in women in Bangladesh. Malnutrition in women is a major public health issue related to different diseases and has negative repercussions for children, such as premature birth, decreased infection resistance, and an increased risk of death. Moreover, malnutrition is a severe problem in Bangladesh. Data from the Bangladesh Demographic Health Survey (BDHS) conducted in 2017-18 was used to identify risk factors for malnourished women and to create a machine learning-based strategy to detect their nutritional status.

METHODS

A total of 17022 women participants are taken to conduct the research. All the participants are from different regions and different ages. A chi-square test with a five percent significance level is used to identify possible risk variables for malnutrition in women and six machine learning-based classifiers (Naïve Bayes, two types of Decision Tree, Logistic Regression, Random Forest, and Gradient Boosting Machine) were used to predict the malnutrition of women. The models are being evaluated using different parameters like accuracy, sensitivity, specificity, positive predictive value, negative predictive value, [Formula: see text] score, and area under the curve (AUC).

RESULTS

Descriptive data showed that 45% of the population studied were malnourished women, and the chi-square test illustrated that all fourteen variables are significantly associated with malnutrition in women and among them, age and wealth index had the most influence on their nutritional status, while water source had the least impact. Random Forest had an accuracy of 60% and 60.2% for training and test data sets, respectively. CART and Gradient Boosting Machine also had close accuracy like Random Forest but based on other performance metrics such as kappa and [Formula: see text] scores Random Forest got the highest rank among others. Also, it had the highest accuracy and [Formula: see text] scores in k-fold validation along with the highest AUC (0.604).

CONCLUSION

The Random Forest (RF) approach is a reasonably superior machine learning-based algorithm for forecasting women's nutritional status in Bangladesh in comparison to other ML algorithms investigated in this work. The suggested approach will aid in forecasting which women are at high susceptibility to malnutrition, hence decreasing the strain on the healthcare system.

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.

Rural-Urban Differences in Prevalence and Associated Factors of Underweight and Overweight/Obesity among Bangladeshi Adults: Evidence from Bangladesh Demographic and Health Survey 2017-2018

The aim of this study was to identify the differences in prevalence and associated factors of underweight and overweight/obesity among Bangladeshi adults (≥18 years) by analyzing the cross-sectional Bangladesh Demographic and Health Survey 2017-2018 data. Multilevel multivariable logistic regression was applied to identify the factors associated with underweight and overweight/obesity in urban and rural areas. The prevalence of underweight was 12.24% and 19.34% in urban and rural areas, respectively. The prevalence of overweight/obesity was 50.23% and 35.96%, respectively, in urban and rural areas. In the final multivariable analysis in both urban and rural areas, 30-49 years of age, female sex, being educated up to college or higher level, living in the wealthiest household, and being currently married or being separated/divorced/widowed had higher odds of being overweight/obese compared to other categories. Residence in the Mymensingh and Sylhet region was associated with decreased odds of overweight/obesity in urban and rural areas. On the other hand, being educated up to college or higher level, living in the wealthiest household, and being married were associated with reduced odds of being underweight in both areas. These high-risk groups should be brought under targeted health promotion programs to curb malnutrition.

Double burden of malnutrition among women in reproductive Age (15-49 years) in Sierra Leone: a secondary data analysis of the demographic health survey 2019 (SLDHS-2019)

BACKGROUND

The double burden of malnutrition (DBM) is rising globally, particularly in sub-Saharan Africa. In Sierra Leone, the incidence of overweight, obesity (OWOB), and overnutrition among women has sharply increased. This finding accompanies the high incidence of undernutrition, which has been prevalent for decades. This study aimed to determine the prevalence of different malnutrition categories (underweight, overweight, obesity, and overnutrition) and associated factors among women of reproductive age (15-49 years) in Sierra Leone using secondary data analysis of the Sierra Leone Demographic Health Survey of 2019 (SLDHS-2019).

METHODS

We conducted secondary data analysis of the SLDHS-2019 of 7,514 women aged 15-49 years. We excluded pregnant, post-natal, lactating, and post-menopausal women. Data was collected using validated questionnaires, and respondents were selected through a multistage stratified sampling approach. A multivariable logistic regression analysis was used to determine factors associated with malnutrition among 15-49-year-old women in Sierra Leone.

RESULTS

Among 15-49-year-old women in Sierra Leone, the prevalence of underweight was 6.7% (95%CI: 4.5-8.9%); overweight at 19.7% (95%CI: 17.7-21.7%); obesity was 7.4% (95% CI: 5.2-9.6%); and overnutrition, 27.1% (95%CI: 25.2-29.0%). Women aged 25-34 years were more likely to be underweight (adjusted Odds Ratios, aOR = 1.670, 95%CI: 1.254-2.224; p < 0.001) than those aged 15-24 years; women who were not married were less likely to be underweight (aOR = 0.594, 95%CI: 0.467-0.755; p < 0.001) than married women. Women from the North were less likely to be underweight (aOR = 0.734, 95%CI: 0.559-0.963; p = 0.026) than the East, and those who did not listen to the radio were less likely to be underweight (aOR = 0.673; 95%CI: 0.549-0.826; p < 0.001) than those who did. Overweight was less likely among 25-34 years (aOR = 0.609, 95%CI: 0.514-0.722; p < 0.001) and 35-49 years (aOR = 0.480, 95%CI: 0.403-0.571; p < 0.001) age-groups than 15-24 years; more likely among not married women (aOR = 1.470, 95%CI:1.249-1.730; p < 0.001) than married; less likely among working-class (aOR = 0.840, 95%CI: 0.720-0.980; p = 0.026) than not working-class; most likely in women from the North (aOR = 1.325, 95%CI:1.096-1.602; p = 0.004), and less likely among women from the South (aOR = 0.755, 95%CI: 0.631-0.903; p = 0.002) than the East; less likely among women of middle-wealth-index (aOR = 0.656, 95%CI: 0.535-0.804; p < 0.001), richer-wealth-index (aOR = 0.400, 95%CI: 0.309-0.517; p < 0.001), and richest-wealth-index (aOR = 0.317, 95%CI: 0.234-0.431; p < 0.001) than the poorest-wealth-index; and more likely among women who did not listen to radios (aOR = 1.149; 95%CI:1.002-1.317; p = 0.047) than those who did. The predictors of overweight among women 15-49 years are the same as obesity and overnutrition, except overnutrition and obesity were less likely in female-headed households (aOR = 0.717,95%CI: 0.578-0.889; p < 0.001).

CONCLUSION

The prevalence of all categories of malnutrition among women of reproductive age in Sierra Leone is high, affirming a double burden of malnutrition in this study population. Underweight was more likely among the 25-34-year age group than 15-24-year. The predictors of overweight, obesity, and overnutrition were being unmarried/single, residing in the North, and not listening to the radio. There is an urgent need for policymakers in Sierra Leone to design comprehensive educational programs for women of reproductive age on healthy lifestyles and the dangers of being underweight or over-nourished.

Community-based lifestyle intervention for diabetes (Co-LID study) management rural Nepal: study protocol for a clustered randomized controlled trial

BACKGROUND

Type 2 diabetes mellitus (T2DM) has increased globally; with a disproportionate burden in South and Southeast Asian countries, including Nepal. There is an urgent need for clinically and cost-effective culturally adapted T2DM management programs. In this study, we aim to assess the effectiveness of community based culturally appropriate lifestyle intervention in improving the management and care of people with T2DM.

METHODS

We will conduct a cluster randomized control trial to evaluate the effectiveness of community based culturally appropriate lifestyle intervention in improving T2DM outcomes. The trial will be conducted in 30 randomly selected healthcare facilities from two purposively selected districts (Kavrepalanchowk and Nuwakot districts) of Bagmati province, Nepal. The selected healthcare facilities are being randomized into 15 interventions (n = 15) and usual care (n = 15) groups. Those in the intervention will receive group-based 12 an hour-long fortnightly session delivered over 6 months period. The intervention package includes 12 planned modules related to diabetes care, ongoing support, supervision and monitoring, follow-up from the trained community health workers, and educational materials on diabetes self-management. The participants in the usual care groups will receive pictorial brochure on diabetes management and they will continue receiving the usual care available from the local health facilities. The primary outcome is HbA1c level, and the secondary outcomes include quality of life, health care utilization, and practice of self-care behaviour, depression, oral health quality of life, and economic assessment of the intervention. Two points measurements will be collected by the trained research assistants at baseline and at the end of the intervention.

DISCUSSION

This study will provide tested approaches for culturally adapting T2DM interventions in the Nepalese context. The findings will also have practice and policy implications for T2DM prevention and management in Nepal.

TRIAL REGISTRATION

Australia and New Zealand Clinical Trial Registry (ACTRN12621000531819). Registered on May 6, 2021.

Examining the risk factors for overweight and obesity among women in Ghana: A multilevel perspective

Overweight/obesity prevalence is on the increase in epidemic proportions across Low- and Middle-Income countries (LMICs). The public health burden associated with obesity/overweight cannot be underestimated due to its association with chronic health outcomes. This study investigated the individual- and community level risk factors for obesity/overweight among reproductive women. The data used consist of 4393 reproductive women and form part of the 2014 Ghana Demographic and Health Survey (GDHS). Information on these women are clustered within 427 communities. A 2-tier random intercept multilevel logistic model was used to assess the effect of individual- and community level factors on the likelihood of a woman to be obese/overweight. The obesity/overweight prevalence among reproductive women was estimated to be 35.5% (95% CI: 34.04, 36.90%), which significantly differed across clusters. Most at risk were women from middle-income households (aOR = 2.85; 95% CI: 2.28, 3.56), upper-income households (aOR = 5.019, 95% CI: 3.85, 6.55), attaining secondary education (aOR = 1.74; 95% CI: 1.41, 2.16), and higher (aOR = 1.63; 95% CI: 1.14, 2.33), old age (20-29 years (aOR = 4.26; 95% CI: 3.142,5.78); 30-39 years (aOR = 8.59; 95% CI: 6.15, 12.00); 40-49 years (aOR = 12.81; 95% CI: 9.10, 18.16)). Significant differences in the probability of being overweight/obese between different communities were observed (MOR = 1.39). The high prevalence of overweight/obesity requires urgent public health interventions to prevent future public health crises. Efforts to strengthen the healthcare system, encourage lifestyle modification, and public health education are needed to solidify the gains of ensuring a healthy population by 2030 (SDG 3).

Does the place of residence influence your risk of being hypertensive? A study-based on Nepal Demographic and Health Survey

Even though several studies have examined various risk factors for hypertension, residential influence is poorly explored especially in the low-income countries. We aim to investigate the association between residential characteristics and hypertension in resource limited and transitional settings like Nepal. A total of 14,652 individuals aged 15 and above were selected from 2016-Nepal Demographic and Health Survey. Individuals with blood pressure ≥140/90 mmHg or a history of hypertension (as identified by physicians/health professionals) or under antihypertensive medication were defined as hypertensive. Residential characteristics were represented by area level deprivation index, with a higher score representing higher level of deprivation. Association was explored using a two-level logistic regression. We also assessed if residential area modifies the association between individual socio-economic status and hypertension. Area deprivation had a significant inverse association with the risk of hypertension. Individuals from the least deprived areas had higher odds of hypertension compared to highly deprived areas 1.59 (95% CI 1.30, 1.89). Additionally, the association between literacy a proxy of socio-economic status and hypertension varied with a place of residence. Literate individuals from highly deprived areas were likely to have a higher odds of hypertension compared to those with no formal education. In contrast, literate from the least deprived areas had lower odds of hypertension. These results identify counterintuitive patterns of associations between residential characteristics and hypertension in Nepal, as compared with most of the epidemiological data from high-income countries. Differential stages of demographic and nutritional transitions between and within the countries might explain these associations.

The double burden of maternal overweight and short stature and the likelihood of cesarean deliveries in South Asia: An analysis of national datasets from Bangladesh, India, Maldives, Nepal, and Pakistan

BACKGROUND

The aim was to investigate: (a) whether there is an association between the maternal double burden of overweight and short stature and the risk of cesarean delivery and (b) whether socioeconomic status (SES) acts as a moderator in the association between the maternal double burden of overweight and short stature and the risk of cesarean birth (CB).

MATERIALS AND METHODS

The data for this study were obtained from the nationally representative Demographic and Health Survey databases of five South Asian countries. The analyses were based on responses from married women between 15 and 49 years of age. The risk of CB was the primary outcome, while the maternal double burden of overweight and short stature (coexistence of overweight and short stature) was the exposure of interest.

RESULTS

Maternal double burden of overweight and short stature was significantly associated with 179% higher likelihood of undergoing CB in South Asia (SA), with 304%, 200%, 167%, 155%, and 125% higher likelihood of undergoing CB in Nepal, Pakistan, India, Maldives, and Bangladesh, respectively. Findings also demonstrated that mothers belonging to low SES groups with a double overweight and short stature burden were not uniquely disadvantaged.

CONCLUSIONS

A significant marker in SA of higher risk of CB is the maternal double burden of overweight and short stature. The negative effect of the maternal double burden of overweight and short stature extends across all economic backgrounds in relation to the risk of CB. It is not limited to poor mothers who suffer from the double burden of overweight and short stature.

Prevalence of Obesity and Its Associated Factors Among Malaysian Adults: Finding From the National Health and Morbidity Survey 2019

In 2016, World Health Organization (WHO) estimated more than 650 million obese adults, resulting in a country's health burden. This study aims to determine the prevalence of obesity and its associated factors among Malaysian adults. A total of 5820 respondents, aged 18 to 59 years, from the National Health and Morbidity Survey 2019, were included for the data analysis. The prevalence of obesity was described and multivariate analyses were conducted to determine the factors associated with obesity. The prevalence of obesity among Malaysian adults was 20.1%, based on the findings from this study. Multivariate analyses showed that women, being Malays, Indians, and other Bumiputeras, were significantly associated with a higher risk of obesity. Besides, those diagnosed with diabetes mellitus and hypertension were also significantly associated with greater risk of obesity. This information is crucial for policy makers in formulating effective strategies or targeted programs in preventing obesity among Malaysian adults.

Obesity among Medical Students of a Medical College: A Descriptive Cross-sectional Study

Introduction

The prevalence of overweight and obesity is increasing these days. The adverse effect of obesity can be seen in different physiological functions. Relative fat mass is a newly identified parameter to estimate whole body fat. This study aimed to find out the prevalence of obesity among medical students of a medical college.

Methods

A descriptive cross-sectional study was carried out among medical students of a medical college from 1 September 2021 to 30 January 2022. Ethical approval was taken from the Institutional Review Committee (Reference number: FNMC/539/078/79). Simple random sampling was done. Height was measured using a stadiometer and waist circumference was measured using non-stretchable tape. Relative fat mass was calculated using the relative fat mass equation. The data was categorised according to the distribution of fat mass. Point estimate and 95% Confidence Interval were calculated.

Results

Out of 180 medical students, 57 (31.67%) (24.87-38.47, 95% Confidence Interval) were obese according to relative fat mass cut-off. The mean fat mass among male and female participants with high relative fat mass was 27.057±1.42 and 35.674±2.63 respectively.

Conclusions

The prevalence of obesity was lower than in other studies done in similar settings.

Keywords

body fat; obesity; medical students.

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.

Association between socioeconomic positions and overweight/obesity in rural Nepal

Introduction

Obesity and its association with socioeconomic factors are well-established. However, the gradient of this relationship among rural populations in low- and middle-income countries such as Nepal is not fully understood. We sought to assess the association of socioeconomic factors (education, income, and employment status) with overweight/obesity.

Methods

This cross-sectional study analyzed data from 260 participants aged ≥18 years and attending a rural health center in Dolakha, Nepal. Self-reported data on demographic, socioeconomic, and lifestyle factors was collected, and weight and height were measured for all the study participants. Those with a body mass index of &lt;25 kg/m2 were regarded as non-overweight/obese and those with ≥25 kg/m2 were regarded as overweight/obese. Poisson regression models were used to estimate prevalence ratios and corresponding 95% confidence intervals to assess the association between socioeconomic factors and overweight/obesity. In addition, we assessed the effect of modification by age and gender to study the effect of socioeconomic factors on overweight/obesity.

Results

The age-standardized prevalence of overweight/obesity was higher for individuals with higher education (23%) and high-income (32%) and those who were unemployed (42%). Compared to the low-income and no formal education groups, the prevalence ratio of overweight/ obesity was 1.69 and 2.27 times more for those belonging to the high-income and high school and above groups, respectively. No evidence of effect modification by gender and age was observed.

Conclusions

Socioeconomic factors, education, and income were positively associated with overweight/obesity prevalence in rural Nepal. Further large studies using longitudinal settings are necessary to replicate our findings.

Differences in Prevalence and Associated Factors of Underweight and Overweight/Obesity among Bangladeshi Adults by Gender: Analysis of a Nationally Representative Survey

The objective of this study was to find the differences in prevalence and associated factors of underweight and overweight/obesity among Bangladeshi adults by gender, using the nationally representative Bangladesh Demographic and Health Survey 2017-2018 data. To identify the factors associated with underweight and overweight/obesity in both genders, multilevel multivariable logistic regression was conducted. The prevalence of underweight was 19.79% and 15.49% among males and females, respectively. The prevalence of overweight/obesity was 32.67% and 45.60% among males and females, respectively. Among both genders, participants with the highest likelihood of overweight/obesity were aged 30-49 years and 50-69 years, had the highest educational attainment up to primary and secondary level, resided in a household that belonged to the middle, richer, or richest wealth quintiles, and were currently married. On the other hand, among both genders, increased educational attainment and wealth index were inversely associated with being underweight. Health promotion programs in Bangladesh should focus on these high-risk groups to address the burden of underweight and overweight/obesity.

Social determinants of health and the double burden of disease in Nepal: a secondary analysis

Background

As the global burden of disease evolves, lower-resource countries like Nepal face a double burden of non-communicable and infectious disease. Rapid adaptation is required for Nepal’s health system to provide life-long, person-centred care while simultaneously improving quality of infectious disease services. Social determinants of health be key in addressing health disparities and could direct policy decisions to promote health and manage the disease burden. Thus, we explore the association of social determinants with the double burden of disease in Nepal.

Methods

This is a retrospective, ecological, cross-sectional analysis of infectious and non-communicable disease outcome data (2017 to 2019) and data on social determinants of health (2011 to 2013) for 753 municipalities in Nepal. Multinomial logistic regression was conducted to evaluate the associations between social determinants and disease burden.

Results

The ‘high-burden’ combined double burden (non-communicable and infectious disease) outcome was associated with more accessible municipalities, (adjOR3.94[95%CI2.94–5.28]), municipalities with higher proportions of vaccine coverage (adjOR12.49[95%CI3.05–51.09]) and malnutrition (adjOR9.19E103[95%CI19.68E42-8.72E164]), lower average number of people per household (adjOR0.32[95%CI0.22–0.47]) and lower indigenous population (adjOR0.20[95%CI0.06–0.65]) compared to the ‘low-burden’ category on multivariable analysis. ‘High-burden’ of non-communicable disease was associated with more accessible municipalities (adjOR1.93[95%CI1.45–2.57]), higher female proportion within the municipality (adjOR1.69E8[95%CI3227.74–8.82E12]), nutritional deficiency (adjOR1.39E17[95%CI11799.83–1.64E30]) and malnutrition (adjOR2.17E131[95%CI4.41E79-1.07E183]) and lower proportions of population under five years (adjOR1.05E-10[95%CI9.95E-18–0.001]), indigenous population (adjOR0.32[95%CI0.11–0.91]), average people per household (adjOR0.44[95%CI0.26–0.73]) and households with no piped water (adjOR0.21[95%CI0.09–0.49]), compared to the ‘low-burden’ category on adjusted analysis. ‘High burden’ of infectious disease was also associated with more accessible municipalities (adjOR4.29[95%CI3.05–6.05]), higher proportions of population under five years (adjOR3.78E9[95%CI9418.25–1.51E15]), vaccine coverage (adjOR25.42[95%CI7.85–82.29]) and malnutrition (adjOR4.29E41[95%CI12408.29–1.48E79]) and lower proportions of households using firewood as fuel (adjOR0.39[95%CI0.20–0.79]) (‘moderate-burden’ category only) compared to ‘low-burden’.

Conclusions

While this study produced imprecise estimates and cannot be interpreted for individual risk, more accessible municipalities were consistently associated with higher disease burden than remote areas. Female sex, lower average number per household, non-indigenous population and poor nutrition were also associated with higher burden of disease and offer targets to direct interventions to reduce the burden of infectious and non-communicable disease and manage the double burden of disease in Nepal.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12889-022-13905-3.

Spatial Variations and Determinants of Anemia among Under-five Children in Nepal, DHS (2006-2016)

Anemia among under-five children is the major health problem in Nepal. The lack of nutritional supplementation and lack of healthcare facilities are influential factors of anemia. Thus, the main objective of this study is to explore spatial variations and determinants of anemia among under-five children in Nepal. Nepal Demographic and Health Survey (NDHS) data from 2006 to 2016 were used in this study, which includes: household and individual-level data of 8555 under-five children, whose anemia was measured. In addition, a total of 260 (2006), 281 (2011), and 383 DHS clusters (2016) were taken in consideration for spatial analysis. The overall prevalence of anemia was 48.9%, 46.4%, and 52.2% in 2006, 2011, and 2016 respectively. The spatial analysis revealed a nonrandom spatial distribution, where statistically significant hotspots and coldspots were detected in different parts of the country. The results also identified mother’s age, mother’s educational level, socioeconomic status of household, number of under-5 children, household size, birth weight, underweight, stunting, diarrhea, and fever as associated factors of anemia among under-5 children. These findings may provide assistance to concerned health officials in adopting anemia-related programs and policies to address the anemia problems that plague Nepalese children under the age of five.

Secular Difference in Body Mass Index From 2014 to 2020 in Chinese Older Adults: A Time-Series Cross-Sectional Study

Background

Body mass index (BMI) is the most widely used parameter to assess the body weight status. Both the increase of BMI (overweight and obesity) and decrease of BMI (underweight) has been associated with high risk of adverse outcome, such as stroke, disability, and even death. However, recent data on secular differences in BMI in the Chinese aged population are limited. The present study provides robust new evidence about the evolving epidemic of obesity among aged adults in China.

Objective

Evaluating secular difference in BMI in a group of Chinese older adults.

Materials and Methods

We analyzed 7 continuous survey years (2014–2020), including 50,192 Chinese aged participants (25,505 men and 24,687 women, aged 71.9 ± 6.1 years, age range: 65–99 years). Information on sex, age, height, and body weight, was collected based on medical history. Participants were classified into four groups: underweight (BMI &lt; 18.5 kg/m2), normal weight (18.5 kg/m2 ≤ BMI &lt; 25 kg/m2), overweight (25 kg/m2 ≤ BMI &lt; 30 kg/m2), and obesity (BMI ≥ 30 kg/m2). Linear regressions were used to assess the secular difference in BMI. Sex and age differences were also evaluated by stratified analyses.

Results

From 2014 to 2020, age-adjusted mean BMI increased by 0.3 kg/m2 (95% CI: 0.1, 0.5 kg/m2) in men, and 0.5 kg/m2 (95% CI: 0.2, 0.7 kg/m2) in women. Age-standardized prevalence of underweight decreased from 3.0 to 2.3% in men, and from 3.0 to 2.1% in women. Age-standardized prevalence of overweight increased in both men (from 40.1 to 41.7%) and women (from 37.8 to 39.8%), and so as obesity (men: from 4.1 to 6.1%; women: from 5.8 to 8.7%).

Conclusion

Our results confirmed that BMI gradually increased from 2014 to 2020. The age-adjusted mean BMI increased by 0.3 kg/m2 in older men, and 0.5 kg/m2 in older women. The age- and sex-standardized prevalence of overweight and obesity significantly increased, especially in 70–79-year age group, while the prevalence of underweight decreased. The combination of a balanced-diet and physical exercise is needed to maintain optimal BMI range for the aged population.

Geographical and socioeconomic inequalities in the double burden of malnutrition among women in Southeast Asia: A population-based study

Background

Countries in the South and Southeast Asia region grapple with significant challenges due to the double burden of malnutrition (DBM) in women. An understanding of the country specific DBM geographical and socioeconomic distribution in South and Southeast Asian countries will enable targeting of DBM interventions towards high-risk populations in the region. This study aimed to analyse anthropometric indicators for women's nutrition at national and subnational levels in seven South and Southeast Asian countries and assess the association between nutritional status and socioeconomic factors.

Methods

We used population-representative cross-sectional data from the Demographic and Health Surveys conducted between 2000 and 2017, for seven South and Southeast Asian countries (Bangladesh, Cambodia, India, Myanmar, Nepal, Pakistan, and Timor-Leste) and estimated national and subnational prevalence of women underweight and overweight. Using a concentration index (CI), we measured relative and absolute inequality across underweight and overweight in urban and rural areas in these countries. In addition, we estimated the health achievement index, integrating mean coverage of nutritional status and the distribution of coverage by rural and urban populations.

Findings

The prevalence of underweight women ranged from 7.0% (95% CI: 7.0-8.0%) in Pakistan in 2017 to 44.0% (95% CI: 42-45%) in Bangladesh in 2000 and overweight from 11.0% (95% CI: 10-12%) in Bangladesh in 2000 to 67.0% (95% CI: 66-68%) in Pakistan in 2017. In most countries, underweight disproportionately affected the poorest. The concentration indices for underweight were significant in all countries and ranged from -0.04 in Cambodia in 2014 to -0.38 in Pakistan in 2017. In contrast, overweight disproportionately affected the richest, with concentration indices for overweight significant in all countries, ranging from 0.16 in Cambodia in 2010 to 0.45 in Bangladesh in 2007. In most of the countries an absolute measure of inequality decreased overtime, whereas relative measures increased. Disachievement of underweight is more pronounced in rural populations compared to the urban ones.

Interpretations

We noted large geographical and socioeconomic disparities in women DBM in South and Southeast Asian countries, at national and subnational levels. Planning, implementation, and evaluation of existing intervention programmes for food and nutrition should be based on subnational level needs and outcomes.

Funding

This research is partially funded by the Australian Government through the Australian Research Council's Centre of Excellence for Children and Families over the Life Course (Project ID CE200100025).

Association between intimate partner violence and nutritional status of married Nepalese women

BACKGROUND

Intimate partner violence (IPV) is physical, sexual, or psychological harm perpetrated by a spouse or an intimate partner. Its detrimental effects on women's physical, mental, sexual, and reproductive health are well-documented. However, its impact on nutritional status is not well-studied, and previous studies have led to contradictory findings. This study aimed to explore the association between intimate partner violence and the nutritional status of married Nepalese women.

METHODS

The study used the 2016 Nepal Demographic Health Survey data, which employed a modified version of the Conflict Tactics Scale to determine women's exposure to IPV. Anemia and low body mass index (BMI) were used as proxies of nutritional status. Multinomial regression was used to analyze the relationship between BMI and IPV; multivariable logistic regression was used to analyze the association between anemia and IPV.

RESULTS

The prevalence of underweight, overweight/obesity, and anemia were respectively 13.9%, 25.1%, and 38.7%. The prevalence of physical, sexual, and emotional IPVs experienced in the preceding year were respectively 9.8%, 4.6%, and 7.6%. Likewise, the prevalence of lifetime physical, sexual, emotional, and controlling behavior IPVs were respectively 21.8%, 7.4%, 12.3%, and 32.1%. The low intensity of emotional IPV (AOR 1.62; CI: 1.02-2.56) and moderate intensity of physical IPV (AOR 3.70; CI: 1.64-8.35) experienced in the preceding year, and low intensity of lifetime emotional IPV (AOR 1.69; CI: 1.11-2.58) were associated with an increased risk of overweight/obesity. Moderate intensity of sexual IPV (AOR 2.59; CI: 1.099-6.108) experienced in the preceding year was associated with an increased risk of underweight BMI. The low intensity of lifetime controlling behavior (AOR1.25; CI: 1.03-1.53) was associated with an increased risk of anemia.

CONCLUSIONS

Emotional and Physical IPVs are significantly associated with an increased risk of overweight/obesity. Sexual IPV is significantly associated with an increased risk of underweight BMI, and controlling behavior is significantly associated with an increased risk of anemia. Seeking help could offset the detrimental effects of IPV; therefore, IPV screening should be a part of regular healthcare assessment for married women, and appropriate rehabilitation should be offered to IPV survivors.

Prevalence and associated factors of underweight and overweight/obesity among reproductive-aged women: A pooled analysis of data from South Asian countries (Bangladesh, Maldives, Nepal and Pakistan)

BACKGROUND AND AIMS

Underweight and overweight/obesity is a critical public health problem among women in South Asian countries. This study aimed to find the prevalence of underweight and overweight/obesity and discover its associated factors among women of reproductive age in four South Asian countries.

METHODS

Population-representative cross-sectional latest Demographic and Health Survey data from four South Asian countries, considering Bangladesh (2017-18), Maldives (2016-17), Nepal (2016), and Pakistan (2017-18), were pooled for this study. To investigate the factors related with underweight and overweight/obesity in women, a multivariate multinomial logistic regression model was deployed.

RESULTS

The overall prevalence of underweight and overweight/obesity among reproductive-age women in four South Asian countries was 11.8% and 36.3%, respectively. According to adjusted multivariate multinomial logistic regression analysis, women who lived in Pakistan, were older, had a better education, were from the wealthiest home, were currently in union and had media exposure had a considerably decreased probability of being underweight. In contrast, families with a large number of members had a considerably increased risk of becoming underweight. Additionally, women from the Maldives, older age, secondary education, a higher number of children, women from the richest household, currently in the union, the family had media exposure, and pregnant women have been found significantly positively associated with overweight/obesity. However, Nepalese women, large family members, rural residence, and work involvement were significantly negatively associated with overweight/obesity.

CONCLUSION

The problem of being underweight and overweight/obesity still exists in South Asian countries. Focusing on women's age, education, wealth index, and media exposure, different public health intervention approaches are imperative to reduce unhealthy weight conditions.

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.

Association of Anthropometric Indices with Menstrual Abnormality among Nursing Students of Nepal: A Cross-Sectional Study

INTRODUCTION

Obesity has been reported to be linked with menstrual abnormalities including abnormality in cycle length, duration, and period blood loss. However, which anthropometric parameter is a better marker of menstrual abnormality is yet unknown. This study aims to explore the association of BMI, waist-hip ratio (WHR), and waist-height ratio (WHtR) with menstrual abnormalities.

METHODS

This was a cross-sectional study conducted among 240 nursing students on two nursing campuses of Nepal. Demographic and menstrual characteristics related data were collected from the participants via the face-to-face interview technique followed by anthropometric measurements. Binary logistic regression was used to study the association of BMI, WHR, and WHtR with menstrual characteristics. Univariable and multivariable regression models were calculated at 95% confidence interval and a P value of 0.05 using a Statistical Package for Social Sciences, IBM SPSS® v21 (IBM, Armonk, New York).

RESULTS

Out of 240 participants, 52 participants (21.67%) were underweight (<18.5 kg/m²), and 47 participants (19.58%) were either overweight (≥23 kg/m²) or obese (≥25 kg/m²). Overweight and obese BMI was associated with abnormality in menstrual cycle length (AOR = 4.24; 95% CI = 1.77-10.17), duration of the menstrual period (AOR = 2.52; 95% CI = 1.09-5.81), and periodic menstrual blood loss (AOR = 9.04; 95% CI = 3.55-23.01). Increase in WHtR (>0.5) was associated with abnormal cycle length (AOR = 3.09; 95% CI = 1.09-8.80) and abnormal period duration (AOR = 3.05; 95% CI = 1.10-8.44). An increase in WHR (>0.8) was associated with abnormal cyclical menstrual blood loss (AOR = 4.93; 95% CI = 1.55-15.71).

CONCLUSIONS

Obesity predisposes to menstrual irregularities. BMI is a better predictor of menstrual irregularity as the increase in BMI is associated with abnormality in menstrual cycle length, period duration, and blood loss. Increased WHR was associated with periodic blood loss only. Increased WHtR was associated with abnormal cycle length and period duration, but not menstrual blood loss.

Spatial distribution of various forms of malnutrition among reproductive age women in Nepal: A Bayesian geoadditive quantile regression approach

Addressing both the under-and over-nutritional status of women is an eminent challenge for developing countries like Nepal. This paper examined a critical analysis of factors associated with various forms of malnutrition using Bayesian geoadditive quantile regression approach and assessed spatial variations of malnutrition among Nepalese women using Asian cut-off values. Data drawn from the 2016 Nepal Demographic and Health Survey was utilized to assess the spatial distributions of underweight, overweight and obesity at the provincial level. Spatial and nonlinear components were estimated using Markov random fields and Bayesian P-splines, respectively. The analysis of 4,338 women confirmed that women living in extremely urbanized areas and in Province 1, Province 3, and Province 4 were more likely to be overweight/obese. Similarly, the likelihood of being underweight was prominently high among women residing in rural municipality and women residing in Province 2 and Province 7. Women from the richest and richer quintiles, and with primary education were more likely to be obese. Furthermore, currently-working women and women having access to protected water source were less likely to be obese while improved toilet and access to electricity facility were associated with obesity. Women with access to newspaper and radio were less prone to obesity. Inconsistent distribution of under- and over-nutrition existed in Nepal, given that the high prevalence of overweight/obesity among women living in metropolitan and undernutrition among rural women. Specific intervention measures, addressing location-specific nutrition issues are urgent. Rigorous implementation of strategies incorporated in the national nutrition plan is called for to curb the burden of overweight/obesity. Involving mass media to promote healthier lifestyle and nutritious food could be advantageous at the population level, especially in rural municipalities.

Consensus on Medical Nutrition Therapy for Diabesity (CoMeND) in Adults: A South Asian Perspective

Diabetes and obesity are both increasing at a fast pace and giving rise to a new epidemic called diabesity. Lifestyle interventions including diet play a major role in the treatment of diabetes, obesity and diabesity. There are many guidelines on dietary management of diabetes or obesity globally and also from South Asia. However, there are no global or South Asian guidelines on the non-pharmacological management of diabesity. South Asia differs from the rest of the world as South Asians have different phenotype, cooking practices, food resources and exposure, medical nutrition therapy (MNT) practices, and availability of trained specialists. Therefore, South Asia needs its own guidelines for non-pharmacological management of diabesity in adults. The aim of the Consensus on Medical Nutrition Therapy for Diabesity (CoMeND) in Adults: A South Asian Perspective is to recommend therapeutic and preventive MNT in the South-Asians with diabesity.

Multilevel analysis of unhealthy bodyweight among women in Malawi: Does urbanisation matter?

BACKGROUND

Underweight and overweight constitute unhealthy bodyweight and their coexistence is symptomatic of the dual burden of malnutrition (DBM) of high public health concern in many sub-Saharan Africa countries. Little is known about DBM and its correlates in Malawi, a country undergoing urbanisation. The study examined net effects of urban residence on unhealthy weights amidst individual- and community-level factors among women in Malawi.

METHODS

Data on 7231 women aged 15-49 years nested within 850 communities extracted from 2015-16 Malawi Demographic and Health Survey were analysed. Women's weight status measured by body mass index, operationally categorised as underweight, normal and overweight, was the outcome variable while urban-rural residence was the main explanatory variable. Multilevel multinomial logistic regression analysis was employed at 5% significant level; the relative-risk ratio (RR) and its 95% confidence interval (CI) were presented.

RESULTS

Urban residents had a significantly higher prevalence of overweight than rural (36.4% vs. 17.2%; p< 0.001) but a -non-significant lower prevalence of underweight (6.2% vs. 7.4%; p = 0.423). Having adjusted for both individual- and community-level covariates, compared to rural, living in urban (aRR = 1.25; CI: 1.02-1.53) accounted for about 25% higher risk of being overweight relative to normal weight. Higher education attainment, being married and belonging to Chewa, Lomwe or Mang'anja ethnic group significantly reduced the risk of being underweight but heightened the risk of being overweight. Being older and living in wealthier households respectively accounted for about 3- and 2-times higher likelihood of being overweight, while breastfeeding (aRR = 0.65; CI: 0.55-0.76) was protective against overweight. Living in communities with higher poverty and higher education levels reduced and increased the risk of being overweight, respectively. Evidence of community's variability in unhealthy weights was observed in that 11.1% and 3.0% respectively of the variance in the likelihood of being overweight and underweight occurred across communities.

CONCLUSIONS

The study demonstrated association between urban residence and women overweight. Other important associated factors of overweight included breastfeeding, community education- and poverty-level, while education attainment, marital status and ethnicity were associated with the dual unhealthy weight. Thus, both individual- and community-level characteristics are important considerations for policy makers in designing interventions to address DBM in Malawi.

Sex Differences in the Association between Internet Usage and Overweight/Obesity: Evidence from a Nationally Representative Survey in Nepal

Objective: To examine the associations between internet use and overweight/obesity in people aged 15–49 years in Nepal and the extent to which these associations differ by biological sex. Materials and methods: The study analyzed the nationally representative Nepal Demographic and Health Survey (NDHS) 2016 data. Multivariable ordinal logistic regression models were fitted to estimate the total effects of internet use (IU) in the last 12 months and frequency of internet use (FIU) in the last month on overweight/obesity adjusted for potential confounders. Results: Of the 10,380 participants, the prevalence of overweight/obesity by IU was 38% (95% confidence interval (CI): 35.9%, 40.1%) for males and 44.1% (95% CI: 41.6%, 46.6%) for female. The likelihood of overweight/obesity was significantly higher (adjusted odds ratio (aOR): 1.55; 95% CI: 1.40, 1.73; p < 0.001) among those participants who used the internet compared to the participants who did not use the internet in the last 12 months. Similar associations were observed when using the augmented measure of exposure-FIU in the last month. We observed the modification effect of sex in the associations of IU (p-difference < 0.001) and FIU (p-difference < 0.002) with overweight/obesity in Nepal. Conclusions: Our findings suggest that future overweight/obesity interventions in Nepal discourage unnecessary internet use, particularly among males.

Health Care Utilization by Older Adults in Nepal: An Investigation of Correlates and Equity in Utilization

This study aims to evaluate factors associated with health care utilization (HCU) and to assess vertical and horizontal equity in utilization among Nepali older adults. Data are from an existing cross-sectional study involving systematic random sampling of 260 older adults in Far-Western (Sudurpaschim) Province of Nepal. Andersen's theoretical framework was used to assess predisposing, enabling, and need factors that have the potential to influence health care utilization. Multivariable logistic regression analyses were conducted to examine potential correlates of HCU. Horizontal and vertical equity were assessed using concentration curve and index. More than one-third of participants had not visited a health facility in the prior 12 months. Nine in 10 participants did not know about the government's free health service for older adults. Joint/extended family type, Ayurvedic/Homeopathic health care preference, higher-income tertile, and presence of chronic conditions were associated with higher odds of health care utilization in adjusted analyses. The concentration curve for HCU lies below the line of equity, and the subsequent index is positive, indicating that HCU was concentrated among richer individuals. If the government of Nepal is to achieve its goal of universal health care, the existing pro-rich inequity in HCU needs to be addressed.

Community health workers for non-communicable diseases prevention and control in Bangladesh: a qualitative study

BACKGROUND

The increasing burden of Non-Communicable Diseases (NCDs) in Bangladesh underscores the importance of strengthening primary health care systems. In this study, we examined the barriers and facilitators to engaging Community Health Workers (CHWs) for NCDs prevention and control in Bangladesh.

METHODS

We used multipronged approaches, including a. Situation analyses using a literature review, key personnel and stakeholders' consultative meetings, and exploratory studies. A grounded theory approach was used for qualitative data collection from health facilities across three districts in Bangladesh. We conducted in-depth interviews with CHWs (Health Inspector; Community Health Care Provider; Health Assistant and Health Supervisor) (n = 4); key informant interviews with central level health policymakers/ managers (n = 15) and focus group discussions with CHWs (4 FGDs; total n = 29). Participants in a stakeholder consultative meeting included members from the government (n = 4), non-government organisations (n = 2), private sector (n = 1) and universities (n = 2). Coding of the qualitative data and identification of themes from the transcripts were carried out and thematic approach was used for data analyses.

RESULTS

The CHWs in Bangladesh deliver a wide range of public health programs. They also provide several NCDs specific services, including screening, provisional diagnosis, and health education and counselling for common NCDs, dispensing basic medications, and referral to relevant health facilities. These services are being delivered from the sub-district health facility, community clinics and urban health clinics. The participants identified key challenges and barriers, which include lack of NCD specific guidelines, inadequate training, excessive workload, inadequate systems-level support, and lack of logistics supplies and drugs. Yet, the facilitating factors to engaging CHWs included government commitment and program priority, development of NCD related policies and strategies, establishment of NCD corners, community support systems, social recognition of health care staff and their motivation.

CONCLUSION

Engaging CHWs has been a key driver to NCDs services delivery in Bangladesh. However, there is a need for building capacity of CHWs, maximizing CHWs engagement to NCD services delivery, facilitating systems-level support and strengthening partnerships with non-state sectors would be effective in prevention and control efforts of NCDs in Bangladesh.

Community health workers for non-communicable disease prevention and control in Nepal: a qualitative study

BACKGROUND/OBJECTIVE

The increasing burden of non-communicable diseases (NCDs) in Nepal underscores the importance of strengthening primary healthcare systems to deliver efficient care. In this study, we examined the barriers and facilitators to engaging community health workers (CHWs) for NCDs prevention and control in Nepal.

DESIGN

We used multiple approaches including (a) review of relevant literature, (b) key personnel and stakeholders' consultation meetings and (c) qualitative data collection using semistructured interviews. A grounded theory approach was used for qualitative data collection and the data were analysed thematically.

SETTING

Data were collected from health facilities across four districts in Nepal and two stakeholder consultative meetings were conducted at central level.

PARTICIPANTS

We conducted in-depth interviews with CHWs (Health Assistants, Auxiliary Health Workers, Auxiliary Nurse Midwife) (n=5); key informant interviews with health policymakers/managers (n=3) and focus group discussions (FGDs) with CHWs (four FGDs; total n=27). Participants in two stakeholder consultative meetings included members from the government (n=8), non-government organisations (n=7), private sector (n=3) and universities (n=6).

RESULTS

The CHWs were engaged in a wide range of public health programmes and they also deliver NCDs specific programmes such as common NCDs screening, provisional diagnosis, primary care, health education and counselling, basic medication and referral and so on. These NCD prevention and control services are concentrated in those districts, where the WHO, Package for prevention and control of NCDs) program is being implemented. Some challenges and barriers were identified, including inadequate NCD training, high workload, poor system-level support, inadequate remuneration, inadequate supply of logistics and drugs. The facilitating factors included government priority, formation of NCD-related policies, community support systems, social prestige and staff motivation.

CONCLUSION

Engaging CHWs has been considered as key driver to delivering NCDs related services in Nepal. Effective integration of CHWs within the primary care system is essential for CHW's capacity buildings, necessary supervisory arrangements, supply of logistics and medications and setting up effective recording and reporting systems for prevention and control of NCDs in Nepal.

Spatial distribution and associated factors of underweight in Ethiopia: An analysis of Ethiopian demographic and health survey, 2016

Background

Underweight is one form of indicators of under-nutrition, which results from the poor nutrient intake and underlying health problems. Its impact is beyond an individual and extends to a country level. It has been known from the literature that underweight has a negative effect on income and development of a country. In the context of Ethiopia, factors predicting underweight remain unknown and there is a paucity of evidence on geographical distribution of underweight among individuals aged 15–49 years. Therefore, the aim of this study was to examine the geographic distribution of underweight and its associated factors among individuals aged 15–49 years in Ethiopia.

Methods

Secondary data analysis was done on a data set consisting of 28,450 individuals and obtained from the Ethiopian Demography and Health Survey (EDHS) 2016. The spatial distribution of underweight across the country was identified by ArcGIS software. Hotspots analysis was done using Getis-Ord Gi* statistic within ArcGIS. In SaTScan software, the Bernoulli model was fitted by Kulldorff’s methods to identify the purely spatial clusters of underweight. A binary logistic regression was applied to determine factors associated with being underweight.

Result

In Ethiopia, the spatial distribution of underweight was clustered with Global Moran’s I  =  0.79 at p-value < 0.0001. The highest underweight clusters were observed in Tigray, Gambella, eastern part of Amhara, and western and central part of Afar regions. Male individuals [AOR = 1.21; 95% CI: (1.15 1.28)], never married [AOR = 1.14; 95% CI: (1.05, 1.24)], rural residents [AOR = 1.32; 95% CI: (1.18, 1.47)], rich [AOR = 0.85; 95% CI: (0.76, 0.94)], cigarette smoking [AOR = 1.25; 95% CI: (1.07, 1.46)], drinking treated water [AOR = 0.91; 95% CI: (0.83, 0.99)] and open filed defecation [AOR = 1.17; 95% CI: (1.08, 1.26)] were found to have a significant association with being underweight.

Conclusions

There was a significant clustering of underweight among individuals aged 15–49 years. Gender, age, marital status, place of residence, wealth index, cigarette smoking, using untreated water and types of toilet were the significant factors of being underweight. Therefore, effective public health interventions like building safe and supportive environments for nutrition, providing socio-economic protection and nutrition-related education for poor and rural resident would be better to mitigate these situations and associated risk factors in hot spot areas. In addition, policymakers should strengthen and promote nutrition sensitive policies and activities in order to alleviate the underlying and basic causes of underweight.

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.

Prevalence of Underweight, Overweight, and Obesity in Adults in Bhaktapur, Nepal in 2015-2017

Introduction: There is an increase in the double burden of malnutrition globally, with a particular rise documented in Asia. In Nepal, undernutrition has been prevalent for decades. Today, however, the incidence of overweight and obesity (OWOB) in the country has increased substantially. There is a need to conduct local studies reporting on the concurrent burden of both underweight and OWOB across adult populations. This study addresses this need by describing the distribution of body mass index (BMI) in a defined population of adults living in the peri-urban community of Bhaktapur, Nepal.

Material and methods: For this cross-sectional analysis, we used data that were available from 600 women and 445 men whose children were enrolled in an individually randomized, double-blind, placebo-controlled trial assessing the effect of daily vitamin B12 supplementation. Upon enrolment of their 6–11-month old children, mothers and fathers were interviewed about their socio-demographic details. In addition, their weight and height were measured by trained field workers. Each parent's BMI was calculated as the ratio of body weight (in kg) and height squared (in m), expressed as kg/m², and categorized according to the WHO recommendation. We used linear and multinomial logistic regression models to assess associations between the BMI of the mothers and fathers, and their baseline characteristics.

Results: The mean BMI was 23.7 kg/m² for both the mothers and fathers with a standard deviation (SD) of 3.6 and 3.7, respectively. The proportion categorized as underweight, overweight, and obese was also similar in the two groups with around 5% being underweight, 30% being overweight and 5% being obese. Age was positively associated with BMI in both groups. Those categorized as daily wage earner had a lower mean BMI than those in other occupational groups.

Conclusion: Our results contribute to documenting the burden of both under- and overnutrition in a selected group of young adults living in a peri-urban community in Nepal. As Nepal is undergoing an improvement in its economic situation, as well as a nutrition transition, it is important to provide sufficient information to enable timely action, and evidence-based decision-making to prevent a further increase in Nepal's growing double burden of malnutrition.

Predictors of cardiac self-efficacy among patients diagnosed with coronary artery disease in tertiary hospitals in Nepal

Background: Cardiac self-efficacy determines how people feel, think, motivate themselves and behave with regards to improving their cardiac health subsequently preventing complications of coronary artery disease (CAD). Given almost one-third of global death is contributed by CAD with 10% of disability adjusted life years lost in low- and middle-income countries (including Nepal), it is important to identify factors that can promote cardiac self-efficacy. There are no studies in Nepal focusing on predictors of self-efficacy. Therefore, we aim to determine the predictors of cardiac self-efficacy of CAD patients in Nepal. Design and Methods: This is a cross-sectional study where we recruited 170 patients (≥30 years) diagnosed with CAD from two tertiary level hospitals. Multiple linear regression model was used to identify the predictors of cardiac self-efficacy. Results: The mean age of the participants was 60.45±10.39 years (range, 31-83). Most of the participants were diagnosed as myocardial infarction (91.2%), rest with unstable angina (6.5%) and stable angina (2.4%). The multivariate analysis shows age (p<0.001), health behaviors (p<0.001) and knowledge of the disease (p<0.001) were statistically significant predictors to cardiac self-efficacy. Every 1-year increase in age was associated with 0.23 units increase in cardiac self-efficacy score. Similarly, every unit increase in health behavior score and knowledge of disease score was associated with 0.432 units and 0.475 units increase in cardiac self-efficacy score respectively. Conclusion: Age and health behaviors were the strongest predictors of cardiac self-efficacy followed by knowledge of the disease. We conclude that those with poor health behavior are at a greater risk of poorer cardiac self-efficacy compared to those with relatively good level of self-efficacy. Public health interventions such as awareness raising about cardiac disease and health behavior modification along with early screening, diagnosis and appropriate care are essential to improving self-efficacy and cardiac care outcomes.

Trends and determinants of underweight and overweight/obesity among urban Ethiopian women from 2000 to 2016

BACKGROUND

Nutritional, epidemiological and demographic transitions have been associated with the emergence of the double burden of malnutrition globally. In Ethiopia, there has been no nationally representative investigation of trends and determinants of both underweight and overweight/obesity among urban women. This study examined the trends and determinants of underweight and overweight/obesity in urban Ethiopian women from 2000 to 2016.

METHODS

Trends in the prevalence of underweight and overweight/obesity were investigated based on a series of the Ethiopia Demographic and Health Survey (EDHS) data for the years 2000 (n = 2559), 2005 (n = 1112), 2011 (n = 3569), and 2016 (n = 3106). Multivariable multinomial logistic regression was used to investigate the association between socioeconomic, demographic, behavioural, and community-level factors with underweight and overweight/obesity.

RESULTS

The prevalence of underweight in urban Ethiopian women reduced significantly from 23.2% (95% confidence interval [CI]: 20.3, 26.3%) in 2000 to 14.8% (95% CI: 13.1, 16.7%) in 2016, while overweight/obesity increased significantly from 10.9% (95% CI: 9.1, 13.0%) in 2000 to 21.4% (95% CI: 18.2, 25.1%) in 2016. Urban women from rich households and those who had never married were less likely to be underweight. Urban women who were from wealthy households and those who attained at least secondary education were more likely to be overweight/obese. Women who were informally employed and listened to the radio were less likely to be overweight/obese compared to those who were unemployed and did not listen to the radio, respectively.

CONCLUSION

The prevalence of overweight/obesity increased from 2000 to 2016, with a concurrent reduction in the prevalence of underweight. Interventions aiming to reduce overweight and obesity should target urban women with higher education, those who resided in wealthier households and those who watched the television.

Factors associated with underweight, overweight, and obesity in reproductive age Tanzanian women

BACKGROUND

Underweight, overweight, and obesity are major public health challenges among reproductive-age women of lower- and middle-income countries (including Tanzania). In those settings, obesogenic factors (attributes that promote excessive body weight gain) are increasing in the context of an existing high burden of undernutrition. The present study investigated factors associated with underweight, overweight, and obesity among reproductive age women in Tanzania.

METHODS

This study used 2015-16 Tanzania Demographic and Health Survey data (n = 11735). To account for the hierarchical nature of the data (i.e., reproductive age women nested within clusters), multilevel multinomial logistic regression models were used to investigate the association between individual-level (socioeconomic, demographic and behavioural) and community-level factors with underweight, overweight, and obesity.

RESULTS

Reproductive age women who were informally employed (relative risk ratio [RRR] = 0.79; 95% confidence interval [CI]: 0.64, 0.96), those who were currently married (RRR = 0.59; 95% CI: 0.43, 0.82) and those who used contraceptives (RRR = 0.70; 95% CI: 0.54, 0.90) were less likely to be underweight. Reproductive age women who attained secondary or higher education (RRR = 1.48; 95% CI: 1.11, 1.96), those who resided in wealthier households (RRR = 2.31; 95% CI: 1.78, 3.03) and those who watched the television (RRR = 1.26; 95% CI: 1.06, 1.50) were more likely to be overweight. The risk of experiencing obesity was higher among reproductive age women who attained secondary or higher education (RRR = 1.79; 95% CI: 1.23, 2.61), those who were formally employed (RRR = 1.50; 95% CI: 1.14, 1.98), those who resided in wealthier households (RRR = 4.77; 95% CI: 3.03, 7.50), those who used alcohol (RRR = 1.43; 95% CI: 1.12, 1.82) and/or watched the television (RRR = 1.70; 95% CI: 1.35, 2.13).

CONCLUSION

Our study suggests that relevant government jurisdictions need to identify, promote, and implement evidence-based interventions that can simultaneously address underweight and overweight/obesity among reproductive age women in Tanzania.

Dual burden of underweight and overweight/obesity among adults in Botswana: prevalence, trends and sociodemographic correlates: a cross-sectional survey

OBJECTIVE

To estimate the prevalence and trends in underweight, overweight/obesity and identify their sociodemographic correlates among adults in Botswana from 2007 to 2017.

DESIGN

The study analysed cross-sectional and nationally representative data from 2007 to 2014 Botswana STEPS Surveys and the 2017 Botswana Demographic Survey.

SETTING

Botswana.

PARTICIPANTS

Botswana adults aged 25-64 years (n=4003 in 2007, n=2983 in 2014 and n=11 550 in 2017).

PRIMARY OUTCOME

Underweight and overweight/obesity.

RESULTS

The prevalence of underweight decreased from 18.1% (95% CI 12.0% to 26.3%) in 2007 to 11.6% (95% CI 9.5% to 13.9%) in 2014 and further dropped to 8.1% (95% CI 7.5% to 8.8%) in 2017. The prevalence of overweight/obesity increased slightly from 37.4% (95% CI 34.3% to 40.7%) in 2007 to 38.6% (95% CI 35.9% to 41.3%) in 2014 to 47.3% (95% CI 46.1% to 48.4%) in 2017. Underweight was more prevalent among males than females while overweight and obesity were more prevalent among females than males. The key risk factor for underweight was being male (adjusted OR (AOR) 2.21: 95% CI 1.80 to 2.72 in 2007, AOR 1.54: 95% CI 1.06 to 2.22 in 2014 and AOR 1.51: 95% CI 1.45 to 1.58 in 2017). For overweight/obesity, the main risk factors were being female (male AOR 0.23: 95% CI 0.15 to 0.35 in 2007, AOR 0.32: 95% CI 0.25 to 0.42 in 2014 and AOR 0.30: 95% CI 0.29 to 0.31 in 2017), being old (AOR 2.18: 95% CI 1.58 to 3.01 in 2007, AOR 2.37: 95% CI 1.71 to 3.29 in 2014) and AOR 2.10: 95% CI 1.94 to 2.27 in 2017 among those aged 55-64 years) and not working (AOR 1.70: 95% CI 1.20 to 2.42 in 2007, AOR 2.05: 95% CI 1.55 to 2.69 in 2014 and AOR 1.34: 95% CI 1.27 to 1.40 in 2017).

CONCLUSIONS

The findings presented in this study indicate coexistence of the double burden of underweight and overweight/obesity among adults aged 25-64 years in Botswana. Although underweight prevalence is on the decline, overweight/obesity is increasing over time. The problem of underweight and overweight/obesity needs immediate and effective interventions.

Prevalence of American Heart Association defined ideal cardiovascular health metrics in Nepal: findings from a nationally representative cross-sectional study

BACKGROUND

The ever-increasing burden of non-communicable diseases (NCDs) is posing a serious health challenge for Nepal. This study examines the status of ideal cardiovascular health (ICH) and its associated determinants in Nepal using the American Heart Association (AHA) definition of ICH metrics.

METHODS

The AHA has defined ICH as having five to seven of the ideal health metrics. A representative sample from the NCD risk factors STEPS survey 2013 were drawn to analyse the prevalence and sociodemographic determinants of ideal, intermediate and poor cardiovascular health in Nepal. Multivariable logistic regression was used to measure the determinants of ICH.

RESULTS

More than half of the participants had ICH metrics (51.6%), with the 45-69 y age group having the lowest prevalence of ICH (28%) and females having better cardiovascular health compared with their male counterparts (60.6% vs 41.7%). The prevalence of low intake of fruit and vegetables, tobacco smoking and elevated blood pressure were quite high (99%, 18.8% and 31.4%, respectively). The status of ICH declined with age: individuals 15-29 y of age had 6 times (95% confidence interval [CI] 4.80-8.60) higher odds of having ICH compared with those who were 45-69 y, and it was low among urban residents (referent: rural; adjusted odds ratio 0.77 [95% CI 0.58-1.01]).

CONCLUSIONS

Nearly half of the participants had ICH, which declined with ageing. Further, urban residents had poor cardiovascular health. This highlights the need for a comprehensive population-based intervention targeting elderly and urban residents to improve overall cardiovascular health.

Impact of Disadvantaged Neighborhoods and Lifestyle Factors on Adult Obesity: Evidence From a 5-Year Cohort Study in Australia

PURPOSE

This study aims to investigate the impact of disadvantaged neighborhoods and lifestyle factors on obesity among Australian adults.

DESIGN

Quantitative, longitudinal research design.

SETTING

Cohort.

SAMPLE

Data for this study came from a cohort of 10 734 adults (21 468 observations) who participated in the Household, Income and Labour Dynamics in Australia survey. The participants were interviewed at baseline in 2013 and were followed up in 2017.

MEASURES

Generalized Estimating Equation model with logistic link function was employed to examine within-person changes in obesity due to disadvantaged neighborhoods and lifestyle factors at 2-time points over a 4-year follow-up period.

RESULTS

Adults living in the most disadvantaged area were 1.22 (odds ratio [OR]: 1.22, 95% CI: 1.08-1.38) and 1.30 (OR: 1.30, 95% CI: 1.20-1.42) times, respectively, more prone to be overweight and obese compared with peers living at least disadvantaged area. Study results also revealed that adults who consume fruits regularly and perform high levels of physical activity were 6% (OR: 0.94, 95% CI: 0.91-0.98) and 12% (OR: 0.88, 95% CI: 0.85-0.92) less likely to be obese, respectively, compared to their counterparts. Current alcohol drinkers were 1.07 (OR: 1.07, 95% CI: 1.01-1.13) times more likely to be obese compared to peers not consuming alcohol. Highly psychologically distressed adults were 1.08 times (OR: 1.08, 95% CI: 1.02-1.13) more likely to be obese than their peers.

CONCLUSION

This study contributes to the literature regarding disadvantaged neighborhoods and lifestyle factors, which have an influence on adult obesity rates and thus help health decision-makers to formulate effective obesity prevention strategies.

Study, Design, and Rationale of Noncommunicable Diseases in Nepal (NCD Nepal) Study: A Community-Based Prospective Epidemiological and Implementation Study in Rural Nepal

BACKGROUND

Noncommunicable diseases (NCDs) are the leading causes of deaths globally. Currently, there are limited high-quality data on the epidemiology and usefulness of community-based screening and treatment of NCDs in low-to-middle-income countries (LMIC), like Nepal. We describe the protocol of a community-based, longitudinal epidemiological study of screening and management of NCDs in rural Nepal.

METHODS

We organize monthly mobile health clinics to screen NCDs among 40- to 75-year-old residents from municipal subdivision wards 3, 4, 6, and 7 of Ghorahi submetropolitan city, Dang, Nepal (approximately 406 km west of the capital, Kathmandu). We estimate a total of 7052 eligible participants. After obtaining informed consent, trained personnel will collect sociodemographic and lifestyle data, medical, medication, and family history using validated questionnaires, plus anthropometric measures and capillary glucose levels. We will screen for hypertension, diabetes, obesity, dyslipidemia, tobacco and alcohol use, self-reported physical activity, dietary habits, cardiovascular disease, stroke, chronic lung disease, cancer, and chronic kidney disease. We will also check hemoglobin A1C, lipid panel, serum creatinine, sodium, potassium, urine dipstick, and urine albumin-to-creatinine ratio in high-risk participants. We will offer lifestyle counseling, pharmacotherapy or refer to higher level care, where appropriate; routinely follow participants with NCDs for continuity of care; and follow individuals without NCDs but with elevated glucose, prehypertension or other risk factors every year, and those without risk factors every 2 years. We will monitor participants in the community to reduce attrition and to track all-cause and disease-specific mortality.

DISCUSSION

Understanding the community burden of NCDs in resource-limited setting and testing effectiveness of community-based screening and management of NCDs will provide insights to develop national policy to address NCD burden in LMIC like Nepal.

Application of single-level and multi-level modeling approach to examine geographic and socioeconomic variation in underweight, overweight and obesity in Nepal: findings from NDHS 2016

Nepal's dual burden of undernutrition and over nutrition warrants further exploration of the population level differences in nutritional status. The study aimed to explore, for the first time in Nepal, potential geographic and socioeconomic variation in underweight and overweight and/or obesity prevalence in the country, adjusted for cluster and sample weight. Data came from 14,937 participants, including 6,172 men and 8,765 women, 15 years or older who participated in the 2016 Nepal Demography and Health Survey (NDHS). Single-level and multilevel multi-nominal logistic regression models and Lorenz curves were used to explore the inequalities in weight status. Urban residents had higher odds of being overweight and/or obese (OR: 1.89, 95% CI: 1.62-2.20) and lower odds of being underweight (OR: 0.81, 95% CI: 0.70-0.93) than rural residents. Participants from Provinces 2, and 7 were less likely to be overweight/obese and more likely to be underweight (referent: province-1). Participants from higher wealth quintile households were associated with higher odds of being overweight and/or obese (P-trend < 0.001) and lower odds of being underweight (P-trend < 0.001). Urban females at the highest wealth quintile were more vulnerable to overweight and/or obesity as 49% of them were overweight and/or obese and nearly 39% at the lowest wealth quintile were underweight.

Association between body mass index and ready-to-eat food consumption among sedentary staff in Nay Pyi Taw union territory, Myanmar

BACKGROUND

Ready-to-eat (RTE) food consumption has become popular in the working community with the increase in full-time jobs and the limited time to prepare food. Although RTE food is essential for this community, its consumption causes obesity. In Myanmar, obesity is a modifiable risk factor for non-communicable diseases, causing increases in morbidity and mortality. This study aimed to identify the association between body mass index (BMI) and RTE food consumption among sedentary staff in Nay Pyi Taw Union Territory, Myanmar.

METHODS

A cross-sectional study was conducted in 2018, in which 400 respondents participated in face-to-face interviews. The study area was selected using simple random sampling and drawing method. Measuring tape and digital weighing scale were used to measure the height and weight of the respondents. BMI was calculated by dividing the weight by height squared (kg/m2). Overweight and obesity were categorized by World Health Organization cut-off points. The collected data were analyzed using multiple logistic regression to estimate the adjusted odds ratio (AOR), and the 95% confidence interval (CI).

RESULTS

This study revealed that sedentary staff who consumed RTE food once or more per month were nearly five times more likely to be overweight and obese (AOR = 4.78, 95% CI 1.44-15.85) than those who consumed RTE food less frequently. In addition, five factors namely being older than 32 years (AOR = 3.97, 95% CI 1.82-8.69), preference for RTE food (AOR = 8.93, 95% CI 2.54-31.37), light-intensity of physical exercise (AOR = 3.55, 95% CI 1.63-7.73), sedentary leisure activities (AOR = 3.32, 95% CI 1.22-9.03), and smoking (AOR = 5.62, 95% CI 1.06-29.90) were positively associated with overweight and obesity.

CONCLUSION

Frequent consumers of RTE food and less physically active sedentary staff were more likely to be overweight and obese. This study highlights the urgent need to raise awareness regarding healthy lifestyle behaviors among the working community to reduce the burden of obesity-related chronic diseases. Moreover, sedentary workers should be aware of the food-based dietary guidelines of the country. Policy makers should strictly enforce nutritional labeling of RTE food, and strictly prohibit over-branding of RTE food.

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

Background

The prevalence of overweight and obesity, particularly among women, is increasing in Nepal. Previous studies in the South Asia have found television watching to be a risk factor for overweight and obesity among women of reproductive age. However, this association had not been studied in the context of Nepal. This study aims to identify the association between frequency of television watching and overweight and obesity among Nepalese women of reproductive age.

Methods

This cross-sectional study utilized the Nepal Demographic and Health Survey 2016 (NDHS 2016) data. A total weighted sample of 6,031 women were included in the final analyses. The women were 15–49 years of age and were either not pregnant or had not delivered a child within the two months prior to the survey. Body mass index (BMI) was the primary outcome of this study, which was categorized using an Asia-specific cutoff value. Normal and/or underweight was defined as a BMI <23.0 kg/m², overweight was defined as a BMI between 23.0 kg/m² and <27.5 kg/m², and obesity was defined as a BMI ≥27.5 kg/m². Frequency of watching television was the main independent variable of this study, which was divided into the following three categories: not watching television at all, watching television less than once a week, and watching television at least once a week. Multilevel ordered logistic regression was conducted to find the factors associated with overweight and obesity. A p-value <0.05 was considered significant in the final model.

Results

Around 35% of the participants were overweight or obese (overweight: 23.7% and obese: 11.6%). A majority of the study participants was aged between 15 and 24 years (36.5%), and resided in an urban area (63.2%), Province No. 3 (22.3%), and the Terai ecological region (49.5%). Around one-third (34.0%) of the participants received no formal education while an almost similar proportion (35.5%) completed secondary education. Approximately half of the study participants (50.6%) reported watching television at least once a week, whereas more than a quarter (28.7%) of them did not watch television at all. Women who watched television at least once a day had a higher prevalence of overweight and obesity than the other groups (p-value <0.0001). Women who watched television at least once a week were 1.3 times more likely to be overweight or obese in comparison to women who never watched television (Adjusted Odds Ratio (AOR): 1.3, 95% CI: 1.0–1.7; p-value <0.05). In the urban areas, women who watched television at least once a week were 40% more likely to be overweight or obese than those who did not watch television at all (AOR: 1.4, 95% CI: 1.1–1.7; p-value <0.01). No significant association between overweight and obesity and the frequency of viewing television was observed in the rural area.

Conclusions

Watching television at least once a week is associated with overweight and obesity in women of reproductive age living in the urban areas of Nepal. Public health promotion programs should raise awareness among women regarding harmful health consequences of sedentary lifestyle due to television watching.

The double burden of malnutrition among adults in India: evidence from the National Family Health Survey-4 (2015-16)

OBJECTIVES

India still faces the burden of undernutrition and communicable diseases, and the prevalence of overweight/obesity is steadily increasing. The discourse regarding the dual burden of underweight and overweight/obesity has not yet been widely explored in both men and women. The present study assessed the determinants of underweight and overweight/obesity in India among adult men and women aged 15-49.

METHODS

Population-based cross-sectional and nationally representative data from the National Family Health Survey-4 (2015-16), consisting of a sample of men and women, were analyzed. Stratified 2-stage sampling was used in the NFHS-4 study protocol. In the present study, bivariate and adjusted multinomial logistic regression analyses were performed to determine the correlates of underweight and overweight/obesity.

RESULTS

The results suggested a persistently high prevalence of underweight coexisting with an increased prevalence of overweight/obesity in India. The risk of underweight was highest in the central and western regions and was also relatively high among those who used either smoking or smokeless tobacco. Overweight/obesity was more prevalent in urban areas, in the southern region, and among adults aged 35-49. Furthermore, level of education and wealth index were positively associated with overweight/obesity. More educated and wealthier adults were less likely to be underweight.

CONCLUSIONS

In India, underweight has been prevalent, and the prevalence of overweight/obesity is increasing rapidly, particularly among men. The dual burden of underweight and overweight/obesity is alarming and needs to be considered; public health measures to address this situation must also be adopted through policy initiatives.

Association of biomass fuel smoke with respiratory symptoms among children under 5 years of age in urban areas: results from Bangladesh Urban Health Survey, 2013

BACKGROUND

Little is known regarding the effect of exposure to biomass fuel smoke inhalation on respiratory symptoms in the Bangladeshi population which is a major health hazard in most of the developing countries. This study aims to explore the association between respiratory symptoms and biomass fuel smoke exposure among children under 5 years of age.

METHODS

Data were extracted from the Bangladesh Urban Health Survey conducted in 2013. A total of 10,575 mothers with at least one surviving children were selected. Respiratory symptoms among children under 5 years of age were considered as the primary outcome. Sequential multiple logistic regression models were used to observe the association between respiratory symptoms and biomass fuel smoke exposure adjusting the effect of residential factors and mother and child characteristics.

RESULTS

Around 40% of the mothers exclusively used biomass fuel irrespective of the kitchen location and 54% of them were habituated in indoor cooking. The prevalence of respiratory symptoms of under-five children among in-house and outdoor biomass fuel users was 23.0% and 21.9%, respectively. Results of fitted multiple logistic regression models showed that the odds of having respiratory symptoms among children under 5 years of age were increased due to in-house biomass fuel use [OR = 1.18; 95% CI, 1.04-1.36] compared with the non-biomass user. An increased risk of respiratory symptoms was also significantly associated with mother's birth complication [OR = 1.51; 95% CI, 1.36-1.67], non-government organization (NGO) membership of mothers [OR = 1.32; 95% CI, 1.16-1.51], age of the child (6-23m) [OR = 1.29; 95% CI, 1.10-1.52], and nutritional status (stunting) [OR = 1.18; 95% CI, 1.06-1.31].

CONCLUSION

This study found the use of in-house biomass fuel as a significant risk factor associated with respiratory symptoms of children under 5 years of age. More longitudinal studies should be designed to establish a causal relationship between HAP (household air pollution) and respiratory symptoms among children with more direct measures of HAP and clinical procedure.

Comparison of preoperative Nutritional Risk Index and Body Mass Index for predicting immediate postoperative outcomes following major gastrointestinal surgery: Cohort-study

Background

Malnutrition is a major risk factor for morbidity and mortality following gastrointestinal (GI) surgery. Nutritional Risk Index (NRI) and Body Mass Index (BMI) are the two well-validated tools that are readily available and do not add financial burden to the patients. The study aimed to analyze NRI and BMI as a preoperative nutritional indicator of postoperative complications following GI surgeries.

Methods

It is an observational study, where preoperative nutritional status and early postoperative complications <30 days (infectious or noninfectious) were studied. The patients admitted between July 2015 to May 2017, who underwent major GI surgeries were included in the study. The correlation between NRI and BMI of these patients were evaluated.

Results

The rate of wound infection was 4 (30.7%) out of 13 in severe malnutrition subgroup defined by NRI <83.5 which was found to be statistically significant (p = 0.003). However, it was not significant in a subgroup of patients with undernutrition defined by BMI <18.49%. In a subgroup analysis, abnormal NRI was found to be statistically significant (p = 0.004) in patients with malignant disease and malnutrition 64 (47.76%) out of 97 (72.3%). The mean NRI (94.49 ± 9.164) better correlated with advancing age (p < 0.05) and the correlation coefficient of 0.3100 showed a significant negative correlation. With 10 fold increase in age (r² = 0.096) the likelihood of malnutrition was 9.6% and subsequently increased postoperative complications.

Conclusion

In cases of malignancy and advanced age, NRI is a better predictor of immediate postoperative outcome than BMI.

•

Nutritional Risk Index (NRI) and Body mass Index (BMI) were used to screen the preoperative patients.

•

NRI and BMI are the two well validated tools which is readily available and does not add financial burden to the patients.

•

NRI better correlated with postoperative wound infections and the length of hospital stay.

•

The patients with advanced age and malignant diseases were at higher risk of malnutrition and postoperative complications.

Non-communicable disease (NCD) corners in public sector health facilities in Bangladesh: a qualitative study assessing challenges and opportunities for improving NCD services at the primary healthcare level

OBJECTIVE

To explore healthcare providers' perspective on non-communicable disease (NCD) prevention and management services provided through the NCD corners in Bangladesh and to examine challenges and opportunities for strengthening NCD services delivery at the primary healthcare level.

DESIGN

We used a grounded theory approach involving in-depth qualitative interviews with healthcare providers. We also used a health facility observation checklist to assess the NCD corners' service readiness. Furthermore, a stakeholder meeting with participants from the government, non-government organisations (NGOs), private sector, universities and news media was conducted.

SETTING

Twelve subdistrict health facilities, locally known as upazila health complex (UHC), across four administrative divisions.

PARTICIPANTS

Participants for the in-depth qualitative interviews were health service providers, namely upazila health and family planning officers (n=4), resident medical officers (n=6), medical doctors (n=4) and civil surgeons (n=1). Participants for the stakeholder meeting were health policy makers, health programme managers, researchers, academicians, NGO workers, private health practitioners and news media reporters.

RESULTS

Participants reported that diabetes, hypertension and chronic obstructive pulmonary disease were the major NCD-related problems. All participants acknowledged the governments' initiative to establish the NCD corners to support NCD service delivery. Participants thought the NCD corners have contributed substantially to increase NCD awareness, deliver NCD care and provide referral services. However, participants identified challenges including lack of specific guidelines and standard operating procedures; lack of trained human resources; inadequate laboratory facilities, logistics and medications; and poor recording and reporting systems.

CONCLUSION

The initiative taken by the Government of Bangladesh to set up the NCD corners at the primary healthcare level is appreciative. However, the NCD corners are still at nascent stage to provide prevention and management services for common NCDs. These findings need to be taken into consideration while expanding the NCD corners in other UHCs throughout the country.

Correlates and inequality of underweight and overweight among women of reproductive age: Evidence from the 2016 Nepal Demographic Health Survey

INTRODUCTION

Understanding socio-economic correlates and inequality of underweight and overweight is crucial to develop interventions to prevent adverse health outcomes.

MATERIALS AND METHODS

We analysed Nepal Demographic and Health Survey 2016 data from 6,069 women aged 15-49 years. WHO cut-offs for Body Mass Index categorised as: underweight (<18.5 kg/m2), normal weight (18.5kg/m2 to 24.9kg/m2) and overweight/ obesity (> = 25.0 kg/m2) were used. We used multinomial logistic regression to explore associations of factors with Body Mass Index and concentration indices to estimate socio-economic inequalities.

RESULTS

Higher risk of underweight was found in age group 15-19 (RRR 3.08, 95% CI: 2.29-4.15), 20-29 (RRR 1.64, 95% CI: 1.29-2.08) and in lowest (RRR 1.60, 95% CI: 1.03-2.47) and second wealth quintiles (RRR 1.77 (95% CI: 1.18-2.64). Education, occupation, urban/rural residence and food security were not associated with underweight (p>0.05). Lower risk of overweight/obesity was found in age group 15-19 (RRR 0.07, 95% CI: 0.05-0.10), 20-29 (RRR 0.40, 95% CI: 0.32-0.51), in manual occupation (RRR 0.58, 95% CI: 0.46-0.74) and in lower quintiles. Women with primary (RRR 1.91, 95% CI: 1.36-2.67), secondary education (RRR 1.42, 95% CI 1.00, 2.01) were at increased risk of overweight/obesity. Household food security and urban/rural residence were not associated with overweight/obesity (p>0.05). Socioeconomic inequalities were detected, with overweight/obesity strongly concentrated (concentration index: 0.380) amongst the higher quintiles and underweight concentrated (concentration index: -0.052) amongst the poorest.

CONCLUSION

Nutrition programmes should target younger and poor women to address undernutrition and higher wealth group women to address overnutrition. Equity based nutrition interventions improving socio-economic status of poor households may benefit undernourished women. Interventions to encourage physical activity as women age and among wealthier women as well as healthy eating for prevention of under- and over-nutrition are needed.