OBJECTIVE: We aimed to analyze the frequency of adherence to social distancing and individual protection measures of adult and older populations in two cities in southern Brazil and to characterize the sociodemographic aspects of these individuals.
METHODS: This cross-sectional, population-based study was conducted in the cities of Rio Grande, RS, and Criciúma, SC, Brazil. The outcome measure was the frequency of adherence to social distancing measures. Fisher\'s exact test (5% significance) was used to calculate the differences in prevalence according to exposure variables.
RESULTS: Among the 2,170 participants over the age of 18, the prevalence of adherence to social distancing was 18.5%. Adherence was significantly higher among women; older adults; single, divorced, or widowed people with a low educational level; people of lower socioeconomic status; and people affected by multiple chronic diseases.
CONCLUSIONS: Approximately one in five respondents adhered to measures of social distancing, and adherence was more prevalent among the risk groups.

BACKGROUND: There are limited population-representative data that describe the potential burden of Post-COVID conditions (PCC) in Mexico. We estimated the prevalence of PCC overall and by sociodemographic characteristics among a representative sample of adults previously diagnosed with COVID-19 in Mexico. We additionally, characterized the PCC symptoms, and estimated the association between diagnosed type-2 diabetes and hypertension with PCC.
METHODS: We used data from the 2021 National Health and Nutrition Survey in Mexico, a nationally and regionally representative survey, from August 1st to October 31st, 2021. Using the WHO definition, we estimated the prevalence of PCC by sociodemographics and prevalence of PCC symptoms. We fit multivariable log-binomial regression models to estimate the associations.
RESULTS: The prevalence of PCC was 37.0%. The most common persistent symptoms were fatigue (56.8%), myalgia or arthralgia (47.5%), respiratory distress and dyspnea (42.7%), headache (34.0%), and cough (25.7%). The prevalence was higher in older people, women, and individuals with low socioeconomic status. There was no significant association between hypertension and PCC or diabetes and PCC prevalence.
CONCLUSIONS: About one-third of the adult Mexican population who had COVID-19 in 2021 had Post-COVID conditions. Our population-based estimates can help assess potential priorities for PCC-related health services, which is critical in light of our weak health system and limited funding.

Introduction The inability to afford a consultation with a general practitioner may lead to delays in accessing care pathways. Aim This study aimed to explore the characteristics of people by their unmet need for a general practitioner consultation because of cost, and the characteristics of subsequent inpatient hospitalisations. Methods From the New Zealand Health Surveys (2013/14-2018/19), two groups were formed based on their unmet need for a general practitioner consultation due to cost. These groups were compared by socio-demographic factors and subsequent inpatient hospitalisation characteristics during follow-up. Time to an inpatient hospitalisation was the outcome in a proportional hazards regression model with need status as the key variable. The model was expanded to include confounding variables: sex, age group, ethnicity, the New Zealand Deprivation Index and self-rated health. Results The need group, characterised by having a higher proportion of females, younger adults, Māori, increased socioeconomic deprivation and poorer self-rated health experienced a greater chance of hospitalisation, a similar number of visits during follow-up, shorter stays and a quicker time to hospitalisation compared to the no-need group. Proportional hazards survival models gave a 28% higher hazard rate for the time to an inpatient hospitalisation for the need group compared to the no-need group. The inclusion of all the confounders in the model gave a similar hazard ratio. Discussion Although consultation fees vary across general practices, it is evident that this may not eliminate the cost barriers to accessing care for some groups. Needing multiple consultations may contribute to persistent unmet needs.

CONCLUSIONS: Depression is a common illness, it being the fourth-leading cause of disability in the world. The global lifetime prevalence falls between 8% and 12%, with female preponderance. A cross-sectional study was designed to assess the burden of depression among married women in a rural setting in North Kerala and identify its sociodemographic risk factors. The sample size was calculated to be 453 (prevalence = 24.9%; error = 20%; design-effect = 1.5). Systematic random sampling was used to select the participants from the eligible couple register. They were interviewed using MINI and Montgomery-Ashberg Depression Rating Scales. Descriptive analysis showed that 24.2% was suffering from current depression, mostly mild and none severe. Two percent reported past depression and 5.4% experienced spousal violence. Poor family support, experience of domestic violence, morbidity, and older spouses were found to be significant risk factors. The provision of mental health services by trained personnel and strict vigilance against the marriage of girls below the legal age and domestic violence are need of the hour.

Self-rated health is an indicator that can be easily identified in health surveys, widely used to measure physical, social, mental, and health aspects of the population, and predict premature mortality. In Venezuela, this information only began to be collected recently, in the National Survey of Living Conditions (ENCOVI). In this context, our study aims to analyze the demographic and socioeconomic factors associated with non-positive self-rated health among Venezuelan adults. The ENCOVI 2021 (n = 16,803) was used as a data source, assessing a probability stratified sample with questions about health, education, emigration, and other social and economic aspects. Crude and adjusted prevalence ratio analyses were performed using Poisson regression models with robust variance. The prevalence of fair/bad self-rated health among Venezuelans was 17.8%. The results indicated a strong association between outcome prevalence and age group, 3.81 times higher (95%CI: 3.29-4.41) among individuals aged 60 or more when compared to individuals aged 18 to 29 years. Also, participants experiencing severe food insecurity had a prevalence 2 times higher (95%CI: 1.61-2.47) than those who did not have any level of food insecurity. Factors such as poverty, education, recent emigration of family members, and sex also showed a significant influence, also when analyzed independently. The results show that special attention should be dedicated to the health of individuals facing hunger and of the older people.

BACKGROUND: The COVID-19 vaccination coverage shows variability in booster doses between residency areas or ethnicity. The aim of this study was to evaluate how sociodemographic conditions influence unequal vaccination coverage with booster doses against COVID-19 in Peru.
METHODS: A retrospective, ecological study with an evaluation of 196 provinces in Peru. The sociodemographic conditions were evaluated as sources of inequality (sex, age group, educational level, residence area, and ethnic group). The inequality measure used was the GINI, an index that show the inequal vaccination coverage with third and fourth booster doses against COVID-19 in Peruvians provinces. The index allow determinate a higher inequality when the value is near to 1, and a lower inequality when the value is near to 0. Also, the impact of each sociodemographic condition in the general inequality was evaluate with a decomposition analysis of GINI coefficient into Sk (composition effect), Gk (redistribution effect), Rk (differential effect).
RESULTS: In provinces evaluated the mean vaccine coverage for the third and fourth booster doses was 57.00% and 22.19%, respectively at twelve months since the beginning of vaccination campaign. The GINI coefficient was 0.33 and 0.31, for the third and fourth booster doses coverage, respectively. In the decomposition analysis, twelve months after the start of the third and fourth dose vaccination campaign, revealed higher Sk values for people living in rural areas (Sk = 0.94 vs. Sk = 2.39, respectively for third and fourth dose), while higher Gk values for Aymara (Gk = 0.92 vs. Gk = 0.92, respectively), Quechua (Gk = 0.53 vs. Gk = 0.53, respectively), and Afro-Peruvians (Gk = 0.61 vs. Gk = 0.61, respectively). Also, higher negative correlation in Rk values for people with elementary education (Rk=-0.43 vs. Rk=-0.33, respectively), aged between 15 and 19 years (Rk=-0.49 vs. Rk=-0.37, respectively), and Aymara (Rk=-0.51 vs. Rk=-0.66, respectively).
CONCLUSIONS: The rural residency area, lower education and Quechua, Aymara or Afro-Peruvians ethnicity determinated inequalities in vaccination coverage with booster doses against COVID-19 in Peruvian provinces.

UNASSIGNED: Mauritius has implemented a range of stringent policies to control smoking and promote public health. Regular monitoring focuses on the prevalence of tobacco use, yet there is a gap in understanding its socio-economic patterns.
UNASSIGNED: The aim of this study was to estimate the prevalence of tobacco smoking and to identify the social determinants associated with smoking among men in Mauritius in 2021.
UNASSIGNED: This is a cross-sectional population-based study conducted by the Ministry of Health and Wellness during 2021. In total, 3622 individuals participated (response rate of 84.1%), of which 1663 were men (45.9%). The study mainly focused on men given the low prevalence of smoking among women. Daily smoking was the outcome and a series of sociodemographic and socioeconomic factors were included as independent variables. Prevalence ratios (PR) and their 95% confidence intervals (95% CI) were estimated to fulfill the study objective.
UNASSIGNED: The prevalence of smoking among men was 30.4%. People in the 25-34 age group (PR = 1.65; 95% CI: 1.12-2.41), those separated, divorced or widowed (PR = 1.57; 95% CI: 1.16-2.11), the ethnic groups Muslim-Mauritians (PR = 1.70; 95% CI: 1.00-2.89) and Creoles (PR = 1.97; 95% CI: 1.16-3.35), and those with secondary (PR = 1.29; 95% CI: 1.00-1.67) and primary education (PR = 1.47; 95% CI: 1.10-1.98) were statistically significantly associated with daily smoking.
UNASSIGNED: Although a gradual decline in smoking prevalence was observed compared with the previous 2015 survey, the Ministry of Health and Wellness should persist in fortifying its anti-smoking measures and concentrate on crafting tailored interventions aimed at the vulnerable groups identified in this study.
Main findings: This study found a prevalence of smoking of 30.4% among men in Mauritius, identifying the young population, those not married, the Muslim-Mauritians and Creole ethnic groups and those with secondary and primary education as at-risk groups for smoking.Added knowledge: The study provides updated information on the prevalence of smoking and its distribution among different socioeconomic groups in Mauritius.Global health impact for policy and action: The anti-smoking policies implemented by the Ministry of Health and Wellness should continue to be strengthened, and specific interventions for the identified at-risk groups be developed. This can serve as a model for other countries with similar socio-economic profiles, aiming to reduce smoking consumption.

Otitis media is a common childhood disease in developing countries and is the most important cause of preventable hearing loss among Indian children. To study the knowledge, attitude, and practices regarding risk factors for otitis media among caretakers of children in Puducherry. This was a questionnaire based descriptive cross-sectional study conducted from April 2023 to June 2023. All the caregivers of children aged 2-12 years presented or diagnosed with otitis media under our inclusion criteria were interviewed. Overall, most caretakers displayed good knowledge (67%), positive attitude (62%) and good care-seeking practices (49%). There was a positive correlation with sociodemographic parameters. The odd\'s ratio for overcrowding was high (OR = 4, p = 0.042 for knowledge and attitude, OR = 3.929, p = 0.041 for practices). Higher score was seen among middle class with odd\'s ratio 1.417 for knowledge and attitude and 4.875 for practices (p = 0.041). Graduate parents had higher score with the odd\'s ratio that was statistically significant. Most of the caregivers had a good knowledge regarding symptoms of otitis media and an acceptable level of caregivers\' attitude and care seeking practices. Higher scores were associated with overcrowding, socioeconomic status, parental education. Improvement in risk factors and providing health education will reduce prevalence of OM in children and thereby reduce preventable hearing loss in children.
UNASSIGNED: The online version contains supplementary material available at 10.1007/s12070-024-04551-9.

BACKGROUND: Several studies on noncommunicable diseases (NCDs) have been carried out worldwide, the basis of most of which is the identification of risk factors-modifiable (or behavioral) and metabolic. Majority of the NCDs are due to sociodemographic factors, lifestyle, and behavior, which can be prevented to a great extent. Thus, it is a health challenge and a necessity to identify such factors of NCDs.
OBJECTIVE: The objective is to make a thorough systematic and comparative analysis of diverse machine learning (ML) classifiers and identify the best-performing model to study social determinants of NCDs.
METHODS: We used data from the Longitudinal Ageing Study in India, and predicted the prevalence of NCDs based on a set of sociodemographic, lifestyle, and behavioral risk factors by conducting a comparative analysis among 25 different algorithms.
RESULTS: Evaluating the performance metrics, the random forest model was found to be the most-suited method with 87.9% accuracy and hence chosen as the final model for the analysis. The model\'s performance was optimized by a hyper-parameter tuning process using grid-search with a 5-fold cross-validation strategy and results suggested that it was able to make accurate predictions on new instances.
CONCLUSIONS: The epidemic of chronic illness cannot be completely addressed without comprehending the social determinants. With advancements in medical and health-care industry, ML has been applied to analyze diseases based on clinical parameters. This work is an attempt by the authors to explore and encourage the use of ML in the field of social epidemiology.

Early childhood is a critical developmental stage where established dietary patterns can impact lifelong health outcomes. This study investigates dietary patterns and their relationships with sociodemographic factors among Malaysian preschoolers. A total of 643 preschoolers of Malay, Indian, Chinese and other ethnicities participating in South East Asian Nutrition Surveys (SEANUTS II) were included. Dietary intake was assessed using a single triple-pass 24-h dietary recall method. Dietary patterns were derived using principal component analysis and their association with sociodemographic factors was determined using complex sampling logistic regressions. Five dietary patterns were identified: \"healthy eating,\" \"wholegrains and starchy vegetables,\" \"high salt and sugar,\" \"Western food,\" and \"sugary drinks and legumes\". Having older siblings was inversely associated with a \"healthy eating\" pattern (adjusted OR: 0.54, 95% CI: 0.33-0.87). Malay ethnicity was associated with higher odds of adhering to the \"high salt and sugar\" pattern (adjusted OR: 4.12, 95% CI: 2.20-7.75). Meanwhile, children living in urban areas (adjusted OR: 1.76, 95% CI: 1.03-3.01), those from middle-income families (adjusted OR: 3.20, 95% CI: 1.38-7.40) and whose fathers were overweight (adjusted OR: 2.79, 95% CI: 1.58-4.94) showed a higher association with \"Western food\" pattern. Conversely, children whose mothers had overweight were less likely to adhere to the \"Western food\" pattern (adjusted OR: 0.50, 95% CI: 0.30-0.83). Older age was significantly associated with a greater likelihood of the \"sugary drinks and legumes\" pattern (adjusted OR: 3.99, 95% CI: 1.75-9.06). There was no significant association between \"wholegrains and starchy vegetables\" pattern with sociodemographic characteristics (all p > 0.05). These findings suggest that ethnicity, age, residence area, having older siblings, parental weight status and household income level are associated with dietary patterns among multiethnic preschoolers in Malaysia. Thus, these sociodemographic characteristics should be considered when designing targeted dietary strategies and interventions for preschoolers.