Urban-rural differences in overweight and obesity among 25-64 years old Myanmar residents: a cross-sectional, nationwide survey

New Body Mass Index Cut-Off Point for Obesity Diagnosis in Young Thai Adults

Obesity is a global health threat affecting people of all ages, especially young adults. Early diagnosis of obesity allows for effective treatments and the prevention of its consequences. This study aimed to determine the prevalence of obesity in Thai young adults, evaluate the extent to which BMI values indicate excess adiposity, and identify the most appropriate BMI diagnostic cut-point based on body fat percentage. The study included 186 young adults aged 20 to 35 years. The diagnosis of obesity using body mass index (BMI) was compared with dual-energy X-ray absorptiometry-derived body fat percentage, considered the gold standard. The appropriate BMI cut-point was established using ROC curve analysis and the Youden index. Obesity was more common in women and in urban areas. BMI and body fat were significantly correlated; however, there was a high rate of false-negative obesity diagnosis based on the conventional BMI cut-off, a condition known as normal weight obesity (NWO). The newly proposed BMI cut-off points that best correlated with body fat and corrected false negatives were 22.1 kg/m2 for men and 22.5 kg/m2 for women. These new BMI cut-points should be applied together with clinical evaluations for obesity assessment in this particularly high-risk group.

Overweight and Obesity Is Associated with Higher Risk of Perceived Stress and Poor Sleep Quality in Young Adults

Background and Objectives: Overweight and obesity are growing public health challenges, particularly concerning young adults. University life presents a unique set of stressors that may influence weight management alongside sleep quality. In this cross-sectional study, we aimed to investigate the association between overweight or obesity, stress, and sleep quality in a large sample of Greek university students. Materials and Methods: The study recruited 2116 active students from across various Greek universities. Participants completed questionnaires on sociodemographics, academic performance, and physical activity levels using the International Physical Activity Questionnaire (IPAQ). Stress and sleep quality were assessed using the Perceived Stress Scale (PSS) and the Pittsburgh Sleep Quality Index (PSQI), respectively. Body weight and height were directly measured to calculate Body Mass Index (BMI). Results: Our analysis of 2116 Greek university students revealed significant associations between various factors and overweight/obesity. Compared to their rural counterparts, young adults in urban areas had an 88% higher prevalence of overweight/obesity (p = 0.0056). Regular smokers were twice as likely to be overweight or obese (p = 0.0012). Notably, those with low physical activity levels displayed a more than two-fold increased risk (p = 0.0008) compared to those with moderate or high activity levels. Similarly, students with moderate or high perceived stress levels had a more than two-fold prevalence of overweight/obesity compared to those with low stress (p = 0.0005). Inadequate sleep quality was also associated with an 86% higher risk of overweight/obesity (p = 0.0007). Interestingly, good academic performance showed a 57% greater prevalence of overweight/obesity compared to very good/excellent performance (p = 0.0103). Conclusions: Our findings reveal that perceived stress and poor sleep quality are significant risk factors for overweight and obesity in this young adult population.

A study on the factors influencing the vulnerability of women of childbearing age to health poverty in rural western China

The health of women of childbearing age in rural areas is crucial for the development of individuals, families, and society. Research on the identification and influencing factors of health vulnerability in impoverished and disadvantaged groups is important for adjusting and implementing health poverty alleviation policies. However, there is limited research on the health vulnerability of women of childbearing age in rural Western China. Based on panel data from the Rural Residents' Family Health Status Survey in 2019 and 2022, the vulnerability to health poverty of women of childbearing age in rural areas was constructed using the three-stage feasible generalized least squares method. Variables from four dimensions-physical capital, financial capital, social capital, and human capital-were included in the sustainable livelihood analysis framework for analysis. The Tobit model was used to analyze the influencing factors of vulnerability to health poverty among women of childbearing age in rural Western China, and the contribution rates of various factors were studied using the Shapley value decomposition method. In 2019 and 2022, under the poverty line standards of $1.90 and $2.15, respectively, the vulnerability to health poverty among rural women of childbearing age exceeded 20%. Tobit regression analysis revealed that the type of drinking water being well water significantly increased the vulnerability to health poverty of rural women of childbearing age (P < 0.05), whereas the separation of housing and kitchen, registered poor households, household loans, annual per capita household income, expenditures on social interactions, educational level, self-assessed health status, respondent age, and the utilization of hospital services significantly reduced the vulnerability to health poverty of rural women of childbearing age (P < 0.05). Shapley's decomposition shows that annual per capita household income, expenditures on social interactions, respondent age, and household loans are the factors contributing most to the vulnerability to health poverty of rural women of childbearing age, while other variables have a smaller contribution rate. The health poverty situation of women of childbearing age in rural Western China is not optimistic. Preintervention for health poverty should be strengthened among rural women of childbearing age, early warning mechanisms for the risk of falling back into poverty due to illness should be established, the precise identification of highly vulnerable rural women of childbearing age should be improved, and the medical insurance system for rural women of childbearing age should be enhanced to help improve their current health poverty situation.

Income or educational attainment: which is more effective in the fight against overweight? Evidence from Spain and Andalusia

Considered the epidemic of the 21st century by the WHO, obesity is a global problem that is on the rise and will continue to increase in the coming years. Spain and Andalusia, in particular, are no exception to this pathology, which has tripled since the 1970s, representing a public health challenge. The aim of this study is to analyse the socioeconomic determinants of this pathology, with special emphasis on answering the question of what has a greater influence on overweight, education level, or income. For this purpose, we have used the European Survey of Health in Spain (ESHS-2020), a microdata base, with a total of 22,072 valid individual observations (of which 2,820 belong to the Andalusian population). Results we obtain in our estimations of qualitative response models reveal that, although both income and educational attainment could be effective in the fight against overweight, the social gradient of this health problem is greater with respect to educational attainment. Additionally, there are many other variables and other factors related to the individual's overweight (mental health, subjective state of health, oral health, among others) which are much less explored and which must be considered in health policies to combat this disease.

Urban-rural disparity in body mass index: is dietary knowledge a mechanism? Evidence from the China Health and Nutrition Survey 2004-2015

Background

The co-existence of undernutrition and overweight/obesity has been recognised as a severe challenge in China, with substantial urban-rural disparity. We evaluated short- and long-term associations of urban-rural locality on body mass index (BMI) in Chinese adults overall and stratified by sex, focusing on whether dietary knowledge plays a mediating role.

Methods

We used cross-sectional and longitudinal study designs with structural equation modelling based on the 2004 (T1) and 2015 (T2) waves of the China Health and Nutrition Survey. We adjusted the models for covariates and performed sensitivity analyses.

Results

We cross-sectionally analysed 8932 (53.1% women) and 11 216 adults (54.3% women) at T1 and T2, respectively, and longitudinally investigated 4073 adults (55.6% women) in both T1 and T2. The estimated average dietary knowledge and mean BMI increased from T1 to T2. At each time point, we found significant indications of direct (e.g. urban-rural locality to BMI, urban-rural locality to dietary knowledge, and dietary knowledge to BMI) and indirect associations (e.g. urban-rural locality to dietary knowledge to BMI) overall and for men and women (except that urban-rural locality to BMI) separately. The long-term association between urban-rural locality and BMI attenuated over time and was not mediated by dietary knowledge change alone. Nevertheless, dietary knowledge interacted with BMI, which acted as a pathway from urban-rural locality to BMI in the long term.

Conclusions

Urban-rural disparity in BMI persists in Chinese adults and is mediated by dietary knowledge. Policy and educational efforts to improve dietary knowledge among rural people may reduce China's urban-rural disparity in BMI.

The prevalence and factors associated with obesity and hypertension in university academic staff: a cross-sectional study in Bangladesh

Obesity is a major risk factor for hypertension, type 2 diabetes and other morbidities. On the other hand, hypertension is a leading cause of cardiovascular disease. The presence of obesity in hypertensive persons increases cardiovascular risk and related mortality. Data on the prevalence of obesity and hypertension in academic staff in Bangladesh are scarce. This study aimed to determine the prevalence and factors associated with obesity and hypertension among university academic staff in Bangladesh. In total, 352 academic staff were enrolled in this study from two universities in Bangladesh. A pre-structured questionnaire was used to obtain data on anthropometric, demographic and lifestyle-related factors. Bivariate and multivariate logistic regression analyses were performed to assess the factors associated with obesity and hypertension. Overall, the prevalence of general and abdominal obesity and hypertension was 26.7%, 46.9% and 33.7%, respectively. Female staff had a significantly higher prevalence of both general and abdominal obesity (41% and 64.1%, respectively) than male staff (21.5% and 34.9%, respectively) (p < 0.001). In contrast, male staff had a higher prevalence of hypertension (36.9%) than female staff (25.6%)(p < 0.001). An increased prevalence of hypertension was found in the higher BMI and WC groups of the participants. The prevalence of general obesity, abdominal obesity and hypertension was higher in the 30-40 years, > 50 years and 41-50 years age groups, respectively. According to the regression analysis, female gender and inadequate physical activity were independently associated with general and abdominal obesity. On the other hand, increased age, BMI, WC, presence of diabetes and smoking showed a significant association with hypertension. In conclusion, the prevalence of obesity and hypertension was higher among university academic staff members in Bangladesh. Our findings suggest that comprehensive screening programs are needed to facilitate the diagnosis, control, and prevention of obesity and hypertension in high-risk population groups.

The Effect of Human Development Index on Obesity Prevalence at the Global Level: A Spatial Analysis

Background

Obesity is one of the major public health concerns, and its prevalence is increasing worldwide. This study aimed to investigate the effect of human development index on the prevalence of obesity across 152 countries.

Methods

Country-level data on obesity prevalence and its influencing variables related to 152 countries were obtained during 2000-2019 from several sources. A Spatial Bayesian Hierarchical model was employed in this research, and the analyses were performed using R statistical software (version 3.6.1).

Results

We found a positive relation between HDI and obesity prevalence, in such a way if low HDI countries advance to high HDI countries, the obesity rate is expected to increase significantly by 7.45%. Moreover, the association between obesity prevalence and the percentage of people aged 40-59 (β=0.07), urbanization rate (β=0.11), percentage of internet users (β=0.01), percentage of alcohol users (β=0.16), milk consumption per capita (β=0.15) and Percentage of depression (β=0.58) was significantly positive. Conversely, per capita consumption of fruits and vegetables (β=-0.15), and smoking rate (β=-0.02) was negatively associated with obesity prevalence.

Conclusion

The prevalence of obesity is growing across all countries, especially in the countries with high and very high HDI. Therefore, policymakers must also pay attention to the negative effects of development when trying to improve the welfare of society.

Obesity and Its Association with Undiagnosed Diabetes Mellitus, High Blood Pressure and Hypercholesterolemia in the Malaysian Adult Population: A National Cross-Sectional Study Using NHMS Data

This study aimed to report the prevalence of obesity, classified using Asian cut-off, and its relationships with undiagnosed diabetes mellitus, high blood pressure, and hypercholesteremia. We analyzed the nationally representative data from 14,025 Malaysian adults who participated in the NHMS 2015. The relationship between obesity and undiagnosed diabetes mellitus, high blood pressure, and hypercholesteremia was determined using multivariable logistic regressions, and lifestyle risk factors and sociodemographic characteristics were adjusted. The undiagnosed high blood pressure group showed the highest proportionate of overweight/obese (80.0%, 95% CI: 78.1-81.8) and central obesity (61.8%, 95% CI: 59.3-64.2). Inverse association was observed between underweight with undiagnosed high blood pressure (aOR: 0.40, 95% CI: 0.26-0.61) and hypercholesterolemia (aOR: 0.75, 95% CI: 0.59-0.95) groups. In contrast, positive relationships were shown between overweight/obese and risk of undiagnosed diabetes mellitus (aOR: 1.65, 95% CI: 1.31-2.07), high blood pressure (aOR: 3.08, 95% CI: 2.60-3.63), and hypercholesterolemia (aOR: 1.37, 95% CI: 1.22-1.53). Likewise, central obesity was positively associated with a risk of undiagnosed diabetes mellitus (aOR: 1.40, 95% CI: 1.17-1.67), high blood pressure (aOR: 2.83, 95% CI: 2.45-3.26), and hypercholesterolemia (aOR: 1.26, 95% CI: 1.12-1.42). Our findings indicated the importance of periodical health examinations to assess the risk of non-communicable diseases among the general and abdominal obese Malaysian adults.

Spatial inequality and explaining the urban-rural gap in obesity in India: Evidence from 2015-16 population-based survey

OBJECTIVE

This study assessed the spatial dimension of urban-rural disparity in obesity prevalence and identified the determinants explaining the urban-rural gap in obesity prevalence in India.

METHODS

Using cross-sectional survey data from the 2015-16 National Family Health Survey, the prevalence rates of obesity were calculated for aged 15-49 years. Two multiscale geographically weighted regressions were performed separately from rural and urban spaces for Indian districts to examine the spatial relationship of the outcome variable and covariates at different geographical scales. Fairlie decomposition analysis was carried out to explore the contribution of each variable in the urban-rural gap.

RESULTS

The rural-urban obesity prevalence difference has increased in a decade time for India from 13.0 to 14.6. Urban counterparts tended to have more people with excess weight. 15 states had an urban-rural prevalence ratio of 2 or higher. The MGWR model showed that varying covariates operated at different scales, i.e. global, regional and local scales, and determined the spatial heterogeneity of obesity prevalence. The only variable, i.e. age (9.49 per cent), had contributed in reducing the gap. Conversely, the socioeconomic variables, i.e. income (96.39 per cent), education (4.95 per cent), caste (4.78 per cent) and occupation (3.11 per cent), had widened the gap.

CONCLUSIONS

Even though this study evidenced the rural-urban gap in obesity prevalence, it indicated the gap's closing shortly, as it was witnessed in a few states. It is urgent to address the obesity epidemic, especially in urban India, due to its higher prevalence and prevent the further increase of prevalence in rural India, mainly because it shelters nearly 70 per cent of the Indian population.

Prevalence and risk factors of general and abdominal obesity and hypertension in rural and urban residents in Bangladesh: a cross-sectional study

Background

Obesity and hypertension are global health concerns. Both are linked with increased risks of all-cause and cardiovascular mortality. Several early studies reported the prevalence of obesity and hypertension in Bangladeshi adults, but the associated factors in this country population are not clear yet. We aimed to estimate the prevalence and related risk factors of general and abdominal obesity and hypertension in rural and urban adults in Bangladesh.

Methods

In this cross-sectional study, data (n = 1410) was collected on rural (n = 626) and urban (n = 784) adults from eight divisional regions of Bangladesh. Both anthropometric and socio-demographic measurements were recorded in a standardized questionnaire form. General and abdominal obesity were defined based on WHO proposed cut-off values and hypertension was defined by SBP ≥ 140 mmHg and/or, DBP ≥ 90 mmHg and/or, intake of anti-hypertensive drugs at the time of data collection. Multivariable logistic regression analyses were performed to assess the relationship of general and abdominal obesity and hypertension with various factors.

Results

The overall prevalence of general obesity, abdominal obesity and hypertension was 18.2, 41.9 and 30.9%, respectively. The women had a higher prevalence of general obesity (25.2%), abdominal obesity (56.1%) and hypertension (32.3%) compared to the men (12.2, 29.0, and 29.7%, respectively). The prevalence of both general and abdominal obesity was higher in urban participants (21.7 and 46.6%, respectively) than in the rural participants (13.8 and 35.1%, respectively), whereas, the rural participants had a higher prevalence of hypertension (35.1%) compared to the urban participants (27.5%). In geographical region comparison, the prevalence of general and abdominal obesity and hypertension were higher in participants enrolled from Dhaka (30.8%), Khulna (63.6%) and Mymensingh (43.5%) regions, respectively compared to other regions. In regression analysis, increased age, place of residence and less physical activity were positively associated with the increased risk of both types of obesity and hypertension. The analysis also showed a significant positive association between high BMI and an increased risk of hypertension.

Conclusion

This study shows a high prevalence of obesity and hypertension in rural and urban adults. Increased age, inadequate physical activity and place of residence were significant determinants of general and abdominal obesity and hypertension. A comprehensive intervention program focusing on modifiable risk factors such as lifestyles and food habits is needed to increase awareness and prevent the burden of obesity and hypertension in the Bangladeshi population.

Prevalence and determinants of nutritional status among women and children in Pakistan

Background

Nutrition has been a low-priority area in Pakistan, with low visibility from the political leadership. Despite various efforts, Pakistan has been reported to have one of the highest prevalences of child and women malnutrition compared to other developing counties. Therefore, this study intends to examine the prevalence and determinants of nutritional status of women and children in Pakistan.

Methods

The present study uses the Demographic Health Survey (DHS) data from Pakistan 2012–13 (PDHS-3). The nutritional status of women was examined through Body-Mass Index (Underweight, normal, overweight, & obese), and that of children was examined through stunting (severe and moderate), wasting (severe, moderate, overweight), and underweight (severe, moderate, overweight). Descriptive statistics and bivariate analysis have been used along with multinomial logistic regression.

Results

A higher proportion of children in rural areas were severely stunted (19.6% vs. 12.5%), severe wasted (2.4% vs. 2.2%), and severe underweight (9.4% vs. 6%) than their urban counterparts. A higher proportion of rural women (9.5% vs. 5.5%) were underweight than urban women, whereas a higher proportion of urban women were obese (24.3% vs. 19.0%) than rural women. The odds of severe stunting (OR = 0.24; C.I. = 0.15–0.37), severe underweight (OR = 0.11; C.I. = 0.05–0.22) were lower among children from the richest wealth quintile than their poorest counterparts. The Relative Risk Ratio (RRR) of being overweight (RRR = 3.7; C.I. = 2.47–5.54) and Obese (RRR = 4.35; C.I. = 2.67–7.07) than normal BMI were higher among women from richest wealth quintile than women belonged to poorest wealth quintile.

Conclusion

This study has highlighted determinants associated with maternal and child nutritional status, whereby the child’s nutritional status was measured by stunting, wasting, and underweight, and BMI measured the mother’s nutritional status. The main risk factors for a child’s poor nutritional status include low household wealth, urban residence, and mother’s educational status. Similarly, the main risk factors for women’s poor nutritional status include increasing the women’s age, educational status, rural residence, and household wealth. Poor households should be provided special attention to improve the nutritional status among women and children in poor households.

Thirty-Year Urbanization Trajectories and Obesity in Modernizing China

The effects of long-term urbanization changes in obesity are unclear. Data were obtained from the China Health and Nutrition Survey (CHNS) 1989-2018. A multidimensional urbanicity index was used to define the urbanization level for communities. Group-based trajectory modeling was used to identify distinct urbanization change trajectories. Gender-stratified multilevel models were used to investigate the association between urbanization trajectories and weight/BMI, through the PROC MIXED procedure, as well as the risk of being overweight + obesity (OO)/obesity (OB), through the PROC GLIMMIX procedure. A total of three patterns of the trajectory of change in urbanization were identified in 304 communities (with 1862 measurements). A total of 25.8% of communities had a low initial urbanization level and continuous increase (termed "LU"), 22.2% of communities had a low-middle initial urbanization level and constant increase (termed "LMU"), and 52.0% of communities had a middle-high initial urbanization and significant increase before 2009, followed by a stable platform since then (termed "MHU"). During the 30 follow-up years, a total of 69490 visits, contributed by 16768 adult participants, were included in the analysis. In the period, weight and BMI were observed in an increasing trend in all urbanization trajectory groups, among both men and women. Compared with LU, men living in MHU were related to higher weight, BMI, and an increased risk of OO (OR: 1.46, 95%CI: 1.26 to 1.69). No significant associations were found between urbanization trajectories and OB risk in men. Among women, the associations between urbanization and all obesity indicators became insignificant after controlling the covariates. Obesity indicators increased along with urbanization in the past thirty years in China. However, the differences among urbanization trajectories narrowed over time. More urbanized features were only significantly associated with a higher risk of obesity indicators in Chinese men. The effects of urbanization on obesity among women were buffered.

Health Behaviors of Austrian Secondary Level Pupils at a Glance: First Results of the From Science 2 School Study Focusing on Sports Linked to Mixed, Vegetarian, and Vegan Diets

Attaining healthy behaviors is essential at any life stage, particularly childhood, due to the strong link between children’s lifestyle and the subsequent adult state of health. This multidisciplinary study aimed to assess lifestyle behaviors of Austrian pupils of secondary schools I and II, with a specific focus on PA habits and diet types based on a large sample. In total, 8845 children/adolescents participated in the short standardized online survey on relevant health-related aspects nationwide. Valid and complete data was provided by 8799 pupils, including 1.14% of the eligible 771,525; 63% girls, 76% having a normal body weight, 70% attending secondary schools II, and more pupils/students living in rural vs. urban areas (3:1 ratio). Across the total sample, 11.8% were considered overweight/obese with a higher prevalence of overweight/obesity in boys than girls (15.5% vs. 9.6%) and urban vs. rural participants (13.9% vs. 10.8%; p < 0.05). The majority of participants (84.5%) reported a mixed diet, while 7.2% and 8.5% reported a vegan and vegetarian diet, respectively. Vegans reported a lesser alcohol intake (p < 0.05) compared to non-vegan pupils (no difference in dietary subgroups for smoking). Although overall PA and dietary behaviors suggest an appropriate health status among Austrian youth, attention should be focused on policies to increase healthy lifestyle habits at best through a dual approach to health permanently combining regular PA, sports, and exercise with a healthy diet, which would contribute to matching the current recommendations for improving individual and public health.