Association of household and community socioeconomic position and urbanicity with underweight and overweight among women in Pakistan

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.

The Effect of Obesity on Severity of Asthma: An Observational Prospective Study from Pakistan

Objective

The current research study aimed to access the relationship between obesity and asthma exacerbations and severity among adult patients at the outpatient section of a federal hospital (PIMS) in Islamabad, Pakistan.

Methods

A cross-sectional research study was carried out on 207 asthma adult patients belonging to different areas and ethnic groups from the country. The study setting was the PIMS hospital, which attracts patients from all over the country due to its facilities and cost-effective treatments. The body mass index (BMI) of asthma patients was calculated using the heights and weights of the study subjects. However, the pulmonary functions were calculated using a computerized spirometer i-e Spirolab III S/N 303681 in line with Winspiro PRO 7.1.version software. It presents the patient's forced vital capacity that expires in the first second of expiration to full (FEV1) in comparison to forced vital capacity (FVC) ratio, that is, Tiffeneau-Pinelli index was also recorded to determine the asthma severity.

Results

According to recent surveys, the overall prevalence of patients with overweight and obesity was 29.0% and 23.7%, respectively. A Chi-square test was used, and a statistically significant relationship was observed between BMI and asthma severity (P < 0.001). The adult obese female patients presented poor pulmonary functions. The average FEV1/FVC ratio presented significant variance among four different categories of BMI with P < 0.05. This difference was due to the normal BMI category as the Tiffeneau-Pinelli index, that is, FEV1/FVC in the normal BMI group was significantly lower as compared to that in underweight and obese patients.

Conclusion

The study subjects presented raised asthma severity in accordance with the raised BMI. Obese patients presented comparatively raised asthma exacerbations. Moreover, a statistically significant association of gender difference was observed between obesity and asthma severity. It was concluded that adult asthmatic women with obesity presented raised asthma severity as compared to adult asthmatic males.

Determinants of undernutrition and overnutrition among reproductive-age women in Bangladesh: Trend analysis using spatial modeling

BACKGROUND

Bangladesh is facing a dual burden of malnutrition, with high rates of undernutrition and increasing rates of overnutrition. The complex scenario of malnutrition in Bangladesh varies across different regions, making it a challenging public health concern to address.

OBJECTIVES

This study analyzes the spatial and temporal dependence of underweight and overweight Bangladeshi women of reproductive age.

METHODS

Nationally representative cross-sectional data from the Bangladesh Demographic and Health Surveys in 2014 and 2017-18 were utilized to study the changes in weight status in 15-49-year-old women who were either underweight or overweight. A Bayesian geo-additive regression model was used to account for non-linear and linear effects of continuous and categorical covariates and to incorporate spatial effects of geographical divisions.

RESULTS

The prevalence of overweight or obese women in rural, city corporations, and other urban areas increased significantly over the four years from 2014 to 2017-18. Women in the categories 'richer' and 'richest' were more likely to be overweight or obese. Women from Sylhet were more likely to be underweight in both survey years; however, the spatial effects were significant for underweight women in Mymensingh for the year 2017-18. Women in Rajshahi and Khulna were more likely to be overweight or obese in 2014, and women from Barishal and Chittagong were more likely to be overweight in the year 2017-18.

CONCLUSIONS

Underweight and overweight statuses in women vary unevenly across Bangladesh, with a substantially higher prevalence of overweight or obese women in more urbanized areas. The growing burden of overweight and obesity among Bangladeshi women should be addressed with interventions aimed at those in the reproductive age group.

Drivers of malnutrition among late adolescent and young women in rural Pakistan: a cross-sectional assessment of the MaPPS trial

OBJECTIVE

This study aimed to characterise the burden of malnutrition and assess how underlying determinants at the structural and intermediary levels contributed to malnutrition among late adolescent and young women in rural Pakistan.

DESIGN

Cross-sectional enrolment data assessment.

SETTING AND PARTICIPANTS

This study was conducted using data from adolescent and young women (n=25 447) enrolled in the Matiari emPowerment and Preconception Supplementation Trial, collected from June 2017 to July 2018 in Matiari District, Pakistan. The WHO-based cut-offs were applied to anthropometric measures to estimate body mass index (BMI) categories (underweight, overweight, obese) and stunting. Hierarchical models were generated to evaluate the association between the determinants with BMI categories and stunting among late adolescent girls and young women, respectively.

PRIMARY AND SECONDARY OUTCOME MEASURES

The main outcomes of interest were BMI categories and stunting. Explanatory variables included measures of socioeconomic status, education, occupation, health, well-being, food security, empowerment and food practices.

RESULTS

Regardless of age group, the prevalence of underweight was high (36.9%; 95% CI 36.3% to 37.5%). More late adolescent girls were underweight, while more young women were overweight/obese (p<0.001). Stunting affected 9.2% (95% CI 8.9% to 9.6%) of participants, of which 35.7% were additionally underweight and 7.3% overweight/obese. Compared with those in the normal weight category, those underweight were more likely to be impoverished and less empowered. Those overweight/obese were more likely to be from a higher wealth quintile and food secure. Increased education level and food security were associated with reductions stunting risk.

CONCLUSIONS

This study informs the data gap and need for comprehensive research on adolescent nutritional status. Findings suggest factors related to poverty played an important, underlying role in undernutrition among participants. Commitment to improving the nutritional status of all adolescent and young women in Pakistan will be critical given the observed burden of malnutrition.

TRIAL REGISTRATION NUMBER

NCT03287882.

Double burden of malnutrition in Nepal: A trend analysis of protein-energy malnutrition and High Body Mass Index using the data from Global Burden of Disease 2010–2019

Background

The co-existence of undernutrition and overnutrition is a global public health threat. We aim to report the burden of both nutritional deficiency (Protein-Energy Malnutrition) and overweight (high Body Mass Index) in Nepal over a decade (2010–2019) and observe the changes through trend charts.

Methods

We did a secondary data analysis using the Institute for Health Metrics and Evaluation (IHME)’s Global Burden of Disease (GBD) database to download age-standardized data on Protein Energy Malnutrition (PEM) and high Body Mass Index (BMI). We presented the trend of death, Disability Adjusted Life Years (DALYs), Years of Life Lost (YLL), and Years Lost due to Disability (YLD) of PEM and high BMI in Nepal from 2010 to 2019 and also compared data for 2019 among South Asian countries.

Results

Between 2010 and 2019, in Nepal, the Disability Adjusted Life Years (DALYs) due to PEM were declining while high BMI was in increasing trend. Sex-specific trends revealed that females had higher DALYs for PEM than males. In contrast, males had higher DALYs for high BMI than females. In 2019, Nepal had the highest death rate for PEM (5.22 per 100,000 populations) than any other South Asian country. The burden of PEM in terms of DALY was higher in under-five children (912 per 100,000 populations) and elderly above 80 years old (808.9 per 100,000 populations), while the population aged 65–69 years had the highest burden of high BMI (5893 per 100,000 populations). In the last decade, the DALYs for risk factors contributing to PEM such as child growth failure (stunting and wasting), unsafe water, sanitation and handwashing, and sub-optimal breastfeeding have declined in Nepal. On the contrary, the DALYs for risk factors contributing to high BMI, such as a diet high in sugar-sweetened beverages, a diet high in trans fatty acid, and low physical activity, have increased. This could be a possible explanation for the increasing trend of high BMI and decreasing trend of PEM.

Conclusion

Rapidly growing prevalence of high BMI and the persistent existence of undernutrition indicate the double burden of malnutrition in Nepal. Public health initiatives should be planned to address this problem.

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.

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.

Objective measurement of physical activity and sedentary behavior among South Asian adults: A systematic review

Background

South Asians are one of the fastest growing ethnic groups in western countries with a high incidence of chronic diseases like metabolic syndrome and cardiovascular disease occurring at younger ages and lower body weight compared with white Europeans. Physically active lifestyle and reduced sedentary time are modifiable risk factors that can decrease burden of chronic diseases. Population-level surveys based on self-report show South Asians engage in low levels of physical activity. Because of known limitations with self-report data, we aimed to synthesize available evidence to generate a physical activity /sedentary time profile of South Asians from studies using accelerometry.

Methods

We systematically searched Medline, EMBASE, CINAHL, PsycINFO, and SportDiscus. We included studies applying accelerometry to measure physical activity /sedentary time under free-living. Studies with an exclusive focus on drugs or including participants with health conditions/physical disability, and special populations (athletes/pregnant women) were excluded. Two authors independently adjudicated inclusion of citations at title/abstract and full text. We applied a standardized data abstraction form to extract relevant data. We evaluated methodological quality using Newcastle Ottawa Quality Assessment Scale. Due to variability and inconsistencies in measurement and reporting of physical activity /sedentary time, we only provide a narrative synthesis.

Findings

We identified only 14 studies(n = 1,338). Despite using similar accelerometry assumptions, we noted variability in reported outcomes for physical activity and sedentary time. Sedentary time ranged from 482(98) to 587 min/day. Mean light physical activity ranged from 211.69(67. 38) to 574(227) min/day. Moderate to vigorous physical activity among South Asian women ranged from 17–41 min/day and among men, 32–43 min/day.

Conclusion

South Asians exhibited higher levels of physical activity when compared to the Canadian population level survey but not when compared to the American population level survey. Overall, fewer studies, and small sample sizes led to considerable variability limiting any effective comparisons. Results highlight the importance of conducting methodologically robust studies based on random sampling to advance the field, and to capture true levels of sedentary time and physical activity in the South Asian population.

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.

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.

Association of frequency of television watching with overweight and obesity among women of reproductive age in India: Evidence from a nationally representative study

Background

For women of reproductive age, overweight and obesity are an established risk factor for several medical complications. To address the increasing rate of obesity in India through public health awareness programs, the association between common behaviors and overweight and obesity needs to be investigated. This study aims to determine whether there is any association between the frequency of television watching and overweight and obesity among women of reproductive age (15–49 years) in India.

Methods

This is a cross-sectional study that utilized data from the National Family Health Survey (NFHS-4), which utilized a nationally representative sample from all 29 states and 7 union territories of India. The survey itself followed a two-staged stratified random sampling technique. The primary outcome of interest was overweight (23.0 kg/m² to <27.5 kg/m²) and obesity (≥27.5 kg/m²), measured by using the Asian body mass index cut-off. The major explanatory variable was the frequency of television watching, measured in days per week. Sample weight of NFHS-4 was adjusted during the analysis. Multilevel ordered logistic regression was conducted to identify the factors associated with overweight and obesity. To show the strength of association, both the unadjusted Crude Odds Ratio (COR) and the Adjusted Odds Ratio (AOR) were reported with a 95% confidence interval (CI). A p-value<0.05 was considered statistically significant.

Results

The analysis included weighted data from 644,006 Indian women of reproductive age (15–49 years). Among the respondents, 33.5% were overweight or obese (BMI ≥23.0 kg/m²). The prevalence of overweight and obesity increased with age (p-value <0.0001) and almost half of the women aged 35–49 years were either overweight or obese (48.6%). The prevalence was significantly higher among those living in an urban area compared to a rural area (urban 46.5% vs. rural 26.5%; p-value <0.001). The prevalence of overweight and obesity increased with the frequency of watching television and was the highest among the individuals who reported watching television almost every day (p-value <0.0001). Women watching television almost every day had 24% (AOR: 1.24, 95% CI: 1.21–1.26; p-value <0.001) increased odds of being overweight and obese compared to their counterparts who never watched television.

Conclusions

This study found that the likelihood of being overweight and obese significantly increased with the frequency of watching television; likely due to physical inactivity during leisure time. Further studies should examine the physical activity and food habits of this target group. Public health promotion programs in India should raise awareness regarding the harmful effects of the sedentary lifestyle associated with watching television.

Frequency of television viewing and association with overweight and obesity among women of the reproductive age group in Myanmar: results from a nationwide cross-sectional survey

OBJECTIVES

This study aimed to discern the association between the frequency of television viewing and overweight and obesity among reproductive age women of Myanmar.

DESIGN

This was a cross-sectional study.

SETTING

This study used Myanmar Demographic and Health Survey (2015-2016) data.

PARTICIPANTS

Total of 12 021 women both aged 15-49 years and also not pregnant or did not deliver a child within the 2 months prior to the survey were included.

PRIMARY AND SECONDARY OUTCOME MEASURES

The primary outcome was overweight (23.0 kg/m² to <27.5 kg/m²) and obesity (≥27.5 kg/m²), which was measured using the Asian body mass index cut-off. Ordered logistic regression analysis was conducted to find the association between the explanatory and outcome variables. The potential confounders controlled in the multivariable analyses were age, place of residence, region of residence, highest educational status, current employment status, wealth index, parity and number of household members.

RESULTS

The prevalence of overweight was 26.5% and obesity was 12.2% among the study participants. The odds of being overweight and obese were 20% higher (adjusted OR (AOR) 1.16, 95% CI 1.02 to 1.32; p=0.023) among those who watched television at least once a week compared with those who did not watch television at all. Rural women who watched television at least once a week were 1.2 times more likely to be obese (AOR 1.16, 95% CI 1.01 to 1.34; p=0.040) compared with those who did not watch television at all.

CONCLUSIONS

Frequent television watching was associated with obesity among rural women of reproductive age in Myanmar.

Obesity in South Asia: Phenotype, Morbidities, and Mitigation

PURPOSE OF REVIEW

Obesity has increased in South Asian countries that are still grappling with undernutrition. In this review, we highlight the characteristics of obesity, its relation to morbidities, and its management in South Asians. A literature search was conducted using relevant search engines and based on key words focusing on obesity in South Asians.

RECENT FINDINGS

The increasing trend in obesity prevalence is caused by imbalanced diets and physical inactivity. South Asians, in general, have higher body fat and lower skeletal muscle mass at the same or lower BMIs compared to white people ("high body fat-normal BMI-low muscle mass" phenotype). In addition, excess abdominal adiposity, typically seen in South Asians, and increased hepatic fat (non-alcoholic fatty liver disease) are associated with an increased risk for type 2 diabetes and cardiovascular disease. Challenges in treatment include lack of awareness regarding correct diets and non-compliance to diet and exercise regimens. Social and cultural issues limit physical activity in South Asian women. Finally, there is a lack of expert health professionals to deal with increased cases of obesity. Aggressive management of obesity is required in South Asians, with more intensive and earlier diet and exercise interventions (i.e., at lower BMI levels than internationally accepted). At a population level, there is no clear policy for tackling obesity in any South Asian country. Prevention strategies focusing on obesity in childhood and the creation of food and activity environments that encourage healthy lifestyles should be firmly applied. Obesity in South Asians should be evaluated with ethnic-specific guidelines and prevention and management strategies should be applied early and aggressively.

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

Introduction

Over the past few decades, the total population of Nepal has increased substantially with rapid urbanization, changing lifestyle and disease patterns. There is anecdotal evidence that non-communicable diseases (NCDs) and associated risk factors are becoming key public health challenges. Using nationally representative survey data, we estimated the prevalence of underweight, overweight and obesity among Nepalese adults and explored socio-demographic factors associated with these conditions.

Materials and methods

We used the Nepal Demographic Health Survey 2016 data. Sample selection was based on stratified two-stage cluster sampling in rural areas and three stages in urban areas. Weight and height were measured in all adult women and men. Body mass index (BMI) was calculated using Asian specific BMI cut-points.

Results

A total of 13,542 adults aged 18 years and above (women 58.19%) had their weight and height measured. The mean (±SD) age was 40.63±16.82 years (men 42.75±17.27, women 39.15±16.34); 41.13% had no formal education and 60.97% lived in urban areas. Overall, 17.27% (95% CI: 16.64–17.91) were underweight; 31.16% (95% CI: 30.38–31.94) overweight/obese. The prevalence of both underweight (women 18.30% and men 15.83%, p<0.001) and overweight/obesity (women 32.87% and men 28.77%, p<0.001) was higher among women. The older adults (≥65 years) (aOR: 2.40, 95% CI: 1.92–2.99, p<0.001) and the adults of poorest wealth quintile (aOR: 2.05, 95% CI: 1.62–2.59, p<0.001) were more likely to be underweight. The younger age adults (36–45 years) (aOR: 3.05, 95% CI: 2.61–3.57, p<0.001) and women (aOR: 1.53, 95% CI 1.39–1.68, p<0.001) were more likely to be overweight or obese. Also, all adults were twice likely to overweight/obese (p<0.001). No significant difference was observed for overweight/obesity by ecological regions and place of residence (urban vs. rural).

Conclusion

These findings confirm co-existence of double burden of underweight and overweight/obesity among Nepalese adults. These conditions are associated with increased risk of developing NCDs. Therefore, effective public health intervention approaches emphasizing improved primary health care systems for NCDs prevention and care and using multi-sectoral approach, is essential.

Obesity and its socioeconomic determinants in Iran

OBJECTIVE

To investigate the socioeconomic inequality of obesity and its determinants in Iran.

METHODS

Data was from Iran's surveillance system for risk factors of non-communicable diseases which was conducted on 89,400 individuals aged 15-64 years in 2005. Principal component analysis was used to create a new variable for defining socioeconomic status of participants. We assessed inequality by calculating a slop index of inequality and concentration index for obesity. Oaxaca-Blinder decomposition analysis was used to determine the determinants of inequality.

RESULTS

The slop index of inequality and concentration index for obesity was -13.1 (95% Confidence Intervals [CI]: -16.3 to -9.8) percentage points and -0.123, respectively. The level of inequality varied widely between different provinces in Iran and was more severe in women and urban population. Obesity persisted in 20.2% (95% CI: 19.4-20.9) of the low-socioeconomic group and 11.0% (95% CI: 10.5-11.6) of the high-socioeconomic group. More than 90% of this gap was due to differences of independent variables (mainly age, gender and marital status) in two socioeconomic status groups.

CONCLUSIONS

A pro-rich inequality existed in the obesity in Iran. Older age, female gender and rural residency contributed most to the economic inequality of obesity.