OBJECTIVE: Obesity is considered a major public health concern. The aim of the study is to compare anthropometric indicators related to overweight and obesity by place of residence in a local community with a high social deprivation rate, based on the example of residents of the Janów District in eastern Poland, taking into account gender strata differences.
METHODS: The cross-sectional epidemiological study was carried out in a study group of 3,752 individuals. The following anthropometric measurements and laboratory tests were performed to identify the anthropometric indicators related to overweight and obesity: body mass index (BMI), waist-to-hip ratio (WHR) and waist-to-height ratio (WHtR) and body adiposity index (BAI).
RESULTS: Mean age of the study group was 51.92 ± 8.15. Overweight and obesity-related indicators were more prevalent in rural than urban areas among women, and were as follows: BMI (28.77 ± 5.37 vs. 27.62 ± 5.09; p < 0.001), WHR (0.87 ± 0.07 vs. 0.85 ± 0.07; p < 0.001), WHtR (0.57 ± 0.09 vs. 0.57 ± 0.08; p < 0.001) and BAI (33.58 ± 5.48 vs. 32.82 ± 5.4; p = 0.002). Men\'s mean WHR was higher in rural than in urban areas (0.96 ± 0.07 vs. 0.95 ± 0.62; p < 0.001).
CONCLUSIONS: The study shows that women living in rural areas had a mean BMI that was 1.1 higher than that of women living in urban areas, as well as 0.02 higher WHR and WHtR and 0.8 higher BAI. In contrast, men living in rural areas had a 0.001 higher WHtR and WHR than men living in urban areas. In the multivariable models, after having considered potential confounding variables, women living in rural areas had approximately a 60% higher probability of being obese, while men had approximately a 30% higher probability of being obese.

BACKGROUND: Few reported studies evaluate the status of those who have a family dentist (FD) by regional differences and the socioeconomic factors associated with this status. This study aimed to assess the prevalence of having an FD among Japanese individuals across three samples of municipality type: urban, intermediate, and rural areas, and determine the factors associated with having an FD.
METHODS: This was a cross-sectional study involving a web-based survey. In total, 2,429 participants (comprising men and women aged 20-69 years) were randomly selected from among the registrants of a web research company: 811 urban residents, 812 intermediate residents, and 806 rural residents. In each area, we categorized the participants into those who had an FD (FD group) and those who did not (non-FD group). A multivariate modified Poisson regression analysis was used to determine the factors associated with the FD group as compared to the non-FD group.
RESULTS: The proportion of the FD group was lowest in rural areas (42.3%), followed by intermediate (48.6%) and urban areas (49.7%). The regression analysis revealed a statistically significant tendency between associated factors in the two groups; that is, the higher the household income, the more likely that the family belonged to the FD group (prevalence ratio (95%CI), JPY 4-6 million: 1.43 (1.00-2.03), JPY ≥ 8 million: 1.72 (1.21-2.44)).
CONCLUSIONS: Rural areas have the lowest proportion of people with an FD among the three areas, and income inequality is associated with having an FD. Thus, when planning policies to encourage individuals to have an FD to manage their oral health, it is necessary to consider regional differences.

Rising income inequality challenges economic and social stability in developing countries. For China, the fastest-growing global digital economy, it could be an effective tool to promote inclusive development, narrowing urban-rural income disparity. It investigates the role of digital financial inclusion (DFI) in narrowing the urban-rural income gap. The study uses panel data from 52 counties in Zhejiang Province, China, from 2014 to 2020. The results show that the development of DFI significantly reduces rural-urban and rural income inequality. The development of DFI helps optimize industrial structure and upgrade the internal structure of agriculture, facilitating income growth for people in rural areas. Such effects are greater in poorer counties. Our findings provide insights into why rapid DFI and the narrowing of the rural-urban income disparity exist in China. Moreover, our results provide clear policy implications on how to reduce the disparity. The most compelling suggestion is that promoting the optimization of industrial structure through DFI is crucial for narrowing the urban-rural income gap.

BACKGROUND: Obesity is associated with locality and alcohol use; however, less is known about how the interaction of these two factors may compound the risk of obesity among adolescents.
OBJECTIVE: This study examines the relationship between alcohol use and obesity among adolescents from rural and urban areas in the United States.
METHODS: Data came from a sample of American adolescents aged 12-17 years from the National Survey on Drug Use and Health (2015-2019; n = 39,489). Obesity was regressed on age, sex, race/ethnicity, income, cigarette smoking, locality, and alcohol use, with an interaction term to examine locality x alcohol use. Predicted probabilities were plotted to assess the interaction.
RESULTS: Compared to adolescents from urban areas, those from rural areas had 1.35 times higher odds of being obese (95% CI 1.25, 1.47). Predicted probabilities indicated that the probability of being obese was higher for rural adolescents at lower levels of drinking, up to about 40 drinks in the past 12 months.
CONCLUSIONS: Findings suggest rural-urban differences at the intersection of alcohol use and obesity could depend on the frequency of use, but overall adolescents from rural areas may be more at risk.

CONCLUSIONS: We measured COVID-19-related stigma and discrimination and its drivers using a concurrent mixed-methods design in Punjab. The simple random sampling was used to select blocks, subcenters, and urban primary healthcenters from each of the four selected districts. The systematic random sampling was used to select households. A sample of 423 adults was interviewed using a structured questionnaire and 10 in-depth interviews were conducted using an interview guide. Binary logistic regression was performed to find the predictors. Stigma prevalence was mild 18%, moderate 45%, and severe 37%. Logistic regression indicated that stigma was lower in the rural compared to the urban population (P < 0.01). Hospitalized patients faced discrimination more often compared to those who were treated/quarantined at home. People feared police (71%), testing (69%), and contracting the infection (65%). Fear of screening, disclosure of status, and transmission of the virus were the drivers of stigma and discrimination. Co-occurrence of labeling, stereotyping, and cognitive separation was observed.

CONCLUSIONS: A study was conducted to determine the prevalence of metabolic syndrome (MetS) in urban and rural areas of Ludhiana district, Punjab. A total of 1000 subjects aged 25-65 years were selected for screening. The study found that both urban and rural areas had an average body mass index above 23.0 kg/m2, with rural populations having higher waist circumference, hip circumference, and waist-hip ratios. Abdominal obesity was more prevalent in women in both areas. Rural men and women had higher fasting blood glucose and systolic blood pressure/diastolic blood pressure levels. MetS prevalence in urban areas is lower among men (7%) and women (10%) compared to rural areas (34% and 26%). The timely detection of metabolic disorder risk factors and intervention can effectively address MetS in the Indian population, thereby improving the country\'s health statistics.

CONCLUSIONS: This article attempts to explore the notion of \"wellness\" in relation to the emerging health markets in Delhi. For this study, spa centers are going to be my major focus. How spa centers define and sell wellness? How does the notion of wellness link to the neoliberal economy and laissez-faire nature of the state? Moreover, in present societies how has it emerged as an \"ideological normativity\" which pathologies those who do not conform to the idea of wellness? Wellness is used in everyday conversation to indicate a healthy balance of mind, body, and emotions. It argues that how wellness as a quality is purportedly being sold through a range of objects and services, from a bottle of shampoo to the complex practice of power yoga. The article examines the spa center as a site and how it models the notions of health and wellness in new ways.

The systematic review and meta-analysis were conducted to ascertain the prevalence of anemia, iron deficiency (ID), and iron deficiency anemia (IDA) among Chinese pregnant women. A total of 722 articles on maternal anemia during pregnancy published between January 2010 and December 2020 were compiled, and a systematic review and meta-analysis were conducted on 57 eligible studies including 1,376,204 pregnant women to ascertain the prevalence of anemia and the prevalence in different subgroups. The results showed that the prevalence of anemia, ID, and IDA among pregnant women in China were 30.7% (95% CI: 26.6%, 34.7%), 45.6% (95% CI: 37.0%, 54.2%), and 17.3% (95% CI: 13.9%, 20.7%), respectively. All prevalence increased with the progression of the pregnancy. There were sizable regional variations in the prevalence of anemia, ID, and IDA. Generally, lower prevalence was observed in the economically more advanced eastern region of the country, while the prevalence of ID was higher in the eastern region than that in the western region. The prevalence of anemia and IDA in rural areas was higher than that in urban areas, but ID prevalence was higher in urban areas. In conclusion, the regional differences and urban-rural disparities in the prevalence of anemia indicate the need for more context-specific interventions to prevent and treat anemia. It was found that dietary factors were one of the major causes of anemia, and iron-containing supplements and nutrition counseling could be effective interventions to reduce the prevalence of anemia, ID, and IDA among Chinese pregnant women.

This study aimed to identify the influence of environmental risk exposure levels on the predictive factors of COVID-19 booster dose vaccination in an urban Thai population in the post-pandemic era. Six study locations, including the three provinces with the highest environmental risk levels and the three provinces with the lowest environmental risk levels, were selected by calculating the environmental risk exposure indexes. Participants from the capital district of each province were chosen via the simple random sampling technique and interviewed using a structured questionnaire. A total of 1315 individuals were included in a sample in this study, and the best predictors of booster dose vaccination were determined using multiple regression analysis. The results showed that a high level of environmental risk exposure occurred in the provinces with a high number of total days exceeding the limits set for PM10 and high rates of mortality for lung cancer. The number of COVID-19 booster vaccinations given amount to 43.4% of the population during the post-COVID-19 pandemic period. Our multivariate analysis indicated that individuals in the working age group (≥25 years old); those with higher education (diploma degree and above); full-time employment (government and private sectors); those with high monthly incomes (≥USD144.1); and those in areas with the lowest risk level of environmental exposure significantly contributed to the number of booster dose vaccinations given during the post-pandemic period. To summarize, the rate of COVID-19 booster dose vaccination acceptance in Thailand was influenced by socio-economic factors with environmental concerns. These findings improve our understating of both the global pandemic and how environmental exposure affects behavioral change patterns and could improve the effectiveness of post-pandemic management.

BACKGROUND: Illicit drug and high-risk alcohol use among adolescents leads to poor health outcomes. We enrolled adolescents from urban slums in Kampala, Uganda, to assess baseline prevalence and factors associated with illicit drug and high-risk alcohol consumption.
METHODS: We conducted a cross-sectional study using data collected in a cohort that enrolled 14-19-year-old male and female participants from 25 March 2019 to 30 March 2020. Data was collected on social demographics, sexual behavior, and reproductive health using interviewer-administered questionnaires. The main outcomes were illicit drug use and high-risk alcohol use. Data on alcohol use was collected using the Alcohol Use Disorder Identification Test (AUDIT); results were dichotomized. Factors associated with each outcome were analyzed using multivariable logistic regression.
RESULTS: We enrolled 490 participants (60.6% female) with a median age of 18 (IQR 17-18) years, 84.9% had less than secondary education, 48.4% had their sexual debut before 15 years, 47.1% reported paid sex in the past 3 months and 22.8% had a sexually transmitted infection (chlamydia, gonorrhea, and active syphilis) baseline characteristics associated with illicit drug use in the past 3 months were male gender (aOR 12.45; 95% CI 7.21-21.50) being married (aOR 2.26; 95%CI 1.03-4.94) 10 or more paying sexual partners (aOR 2.45; 95%CI 1.05-5.69) and high-risk alcohol use (aOR 3.94; 95%CI 2.10-7.40), baseline characteristics associated with high-risk alcohol use were male gender (aOR 0.29; 95% CI 0.13-0.63) emotional violence from sexual partners (aOR 2.35; 95%CI 1.32-418) illicit drug users com (aOR 3.94; 95% CI 2.10-7.40).
CONCLUSIONS: Illicit drug and high-risk alcohol use are prevalent among male adolescents and adolescents involved in high-risk sexual behavior living in the urban slums of Kampala.