UNASSIGNED: The increasing prevalence of depressive symptoms has emerged as a critical public health issue globally, highlighting the need for analyses of the factors contributing to depressive symptoms within the Chinese population and the development of targeted recommendations for improving mental well-being. We aimed to explore the correlation between internet use and depressive symptoms and the role of socioeconomic inequalities in this association.
UNASSIGNED: We included data on 8019 residents aged 18 years and above, which we retrieved from the 2018 and 2020 waves of the China Family Panel Studies. We used latent profile analysis to categorise individuals\' internet usage patterns and multiple linear regression to determine their association with depressive symptoms.
UNASSIGNED: Higher socioeconomic status (SES) was associated with fewer depressive symptoms (τ = -0.08; 95% confidence interval (CI) = -0.36, -0.18). Individuals in the high-dependence group presented a greater likelihood of developing depressive symptoms (τ = 0.04; 95% CI = 0.007, 0.66). We observed no significant difference in the interaction effect between individual-level SES and the four patterns of internet usage. However, compared with urban-dwelling respondents, those in rural areas had a stronger association between internet usage patterns and depressive symptoms, especially those in the high-dependence group (τ = -0.07; 95% CI = -1.47, -0.20).
UNASSIGNED: Our findings indicate a significant association between depressive symptoms and internet usage patterns, indicating a need for interventions related to internet use, especially those targeted at reducing the risk of depressive symptoms in individuals of lower SES.

OBJECTIVE: Psychosocial adversity and stress, known to predispose adults to neurodegenerative and inflammatory immune disorders, are widespread among children who experience socioeconomic disadvantage, and the associated neurotoxicity and proinflammatory profile may predispose these children to multiple sclerosis (MS). We sought to determine associations of socioeconomic disadvantage and psychosocial adversity with odds of pediatric-onset MS (POMS), age at POMS onset, and POMS disease activity.
METHODS: This case-control study used data collected across 17 sites in the United States by the Environmental and Genetic Risk Factors for Pediatric Multiple Sclerosis Study. Cases (n = 381) were youth aged 3-21 years diagnosed with POMS or a clinically isolated demyelinating syndrome indicating high risk of MS. Frequency-matched controls (n = 611) aged 3-21 years were recruited from the same institutions. Prenatal and postnatal adversity and postnatal socioeconomic factors were assessed using retrospective questionnaires and zip code data. The primary outcome was MS diagnosis. Secondary outcomes were age at onset, relapse rate, and Expanded Disability Status Scale (EDSS). Predictors were maternal education, maternal prenatal stress events, child separation from caregivers during infancy and childhood, parental death during childhood, and childhood neighborhood disadvantage.
RESULTS: MS cases (64% female, mean age 15.4 years, SD 2.8) were demographically similar to controls (60% female, mean age 14.9 years, SD 3.9). Cases were less likely to have a mother with a bachelor\'s degree or higher (OR 0.42, 95% CI 0.22-0.80, p = 0.009) and were more likely to experience childhood neighborhood disadvantage (OR 1.04 for each additional point on the neighborhood socioeconomic disadvantage score, 95% CI 1.00-1.07; p = 0.025). There were no associations of the socioeconomic variables with age at onset, relapse rate, or EDSS, or of prenatal or postnatal adverse events with risk of POMS, age at onset, relapse rate, or EDSS.
CONCLUSIONS: Low socioeconomic status at the neighborhood level may increase the risk of POMS while high parental education may be protective against POMS. Although we did not find associations of other evaluated prenatal or postnatal adversities with POMS, future research should explore such associations further by assessing a broader range of stressful childhood experiences.

UNASSIGNED: This study aimed to explore the relationship between multidimensional factors, such as environment, health status, behavior, social support, and the well-being of middle-aged and older adults.
UNASSIGNED: This study utilized data from 2 waves of the nationally representative Taiwan Longitudinal Study on Aging Survey Report (TLSA) conducted in 2015 and 2019. The TLSA assesses socioeconomic status, physical and health status, the 5-item World Health Organization Well-Being Index (WHO-5 index), and social support. Data regarding the degree of digital development were obtained from the 2020 Township Digital Development Report. We applied a generalized estimating equation (GEE) to analyze the influencing factors.
UNASSIGNED: This study included 4796 participants. Residing in areas with a higher degree of digital development, having a higher socioeconomic status, and experiencing better physical and mental health were significantly associated with well-being. Furthermore, emotional and attentive support mediated the association between physical and mental status and well-being.
UNASSIGNED: People\'s awareness of searching for and receiving social support and medical resources is important for enhancing their well-being. It is also crucial to pay attention to the living environment and maintain one\'s health status to promote well-being.

Hypertension is a very common comorbidity in type 2 diabetes patients, which leads to important health and treatment challenges. The present study was conducted with the aim of determining the prevalence of hypertension and its risk factors in type 2 diabetes patients. This study was conducted using cross-sectional data from 1245 participants aged between 35 and 70 years and diagnosed with type 2 diabetes at baseline in the Fasa cohort study. The prevalence hypertension was determined and multivariate logistic regression was used to estimate odds ratios (ORs) and 95% confidence intervals (CIs) for the association between various risk factors and hypertension prevalence. The average age of the participants was 53.5 ± 8.7 years and 71.7% (n = 893) were female and 28.3% (n = 352) were male. The prevalence of hypertension in people with type 2 diabetes was 45.5% (n = 566). Higher age (AOR, 95% CI: 8.1, 4.6-14.3), female gender (OR, 95% CI: 1.8, 1.2-2.5), Fars (AOR, 95% CI: 1.6, 1.1-2.4) and Turk (AOR, 95% CI: 1.6, 1.1-2.5) vs. other ethnicity, and overweight (AOR, 95% CI: 1.8, 1.38-2.38) and obesity (AOR, 95% CI: 2.7, 2.0-3.8) vs. BMI < 25 was associated with a higher prevalence of hypertension, while higher physical activity (AOR, 95% CI: 0.57, 0.42-0.78) was associated with lower prevalence of hypertension in the multivariable model. The prevalence of hypertension in persons with type 2 diabetes was high and increased with greater age, in some ethnic groups, and with higher BMI and low physical activity. Further prospective studies are needed to investigate these associations in this population.

BACKGROUND: Despite the potential benefits of using eHealth, sociodemographic disparities exist in eHealth use, which threatens to further widen health equity gaps. The literature has consistently shown age and education to be associated with eHealth use, while the findings for racial and ethnic disparities are mixed. However, previous disparities may have narrowed as health care interactions shifted to web-based modalities for everyone because of the COVID-19 pandemic.
OBJECTIVE: This study aims to provide an updated examination of sociodemographic disparities that contribute to the health equity gap related to using eHealth for information seeking using 3 time points.
METHODS: Data for this study came from the nationally representative 2018 (n=3504), 2020 (n=3865), and 2022 (n=6252) time points of the Health Information National Trends Survey. Logistic regression was used to regress the use of eHealth for information seeking on race and ethnicity, sex, age, education, income, health status, and year of survey. Given the consistent association of age with the dependent variable, analyses were stratified by age cohort (millennials, Generation X, baby boomers, and silent generation) to compare individuals of similar age.
RESULTS: For millennials, being female, attaining some college or a college degree, and reporting an annual income of US $50,000-$74,999 or >US $75,000 were associated with the use of eHealth for information seeking. For Generation X, being female, having attained some college or a college degree, reporting an annual income of US $50,000-$74,999 or >US $75,000, better self-reported health, and completing the survey in 2022 (vs 2018; odds ratio [OR] 1.80, 95% CI 1.11-2.91) were associated with the use of eHealth for information seeking. For baby boomers, being female, being older, attaining a high school degree, attaining some college or a college degree, reporting an annual income of US $50,000-$74,999 or >US $75,000, and completing the survey in 2020 (OR 1.56, 95% CI 1.15-2.12) and 2022 (OR 4.04, 95% CI 2.77-5.87) were associated with the use of eHealth for information seeking. Among the silent generation, being older, attaining some college or a college degree, reporting an annual income of US $50,000-$74,999 or >US $75,000, and completing the survey in 2022 (OR 5.76, 95% CI 3.05-10.89) were associated with the use of eHealth for information seeking.
CONCLUSIONS: Baby boomers may have made the most gains in using eHealth for information seeking over time. The race and ethnicity findings, or lack thereof, may indicate a reduction in racial and ethnic disparities. Disparities based on sex, education, and income remained consistent across all age groups. This aligns with health disparities literature focused on individuals with lower socioeconomic status, and more recently on men who are less likely to seek health care compared to women.

BACKGROUND: The impact of metabolic syndrome (MetS) on healthcare costs remains unclear in the literature.
OBJECTIVE: To determine the impact of MetS on primary healthcare costs of adults, as well as to identify the impact of physical activity and other covariates on this phenomenon.
METHODS: This cross-sectional study was conducted in the city of Presidente Prudente, State of São Paulo/Brazil, in 2016.
METHODS: The sample comprised 159 older adults (> 50 years) of both sexes (110 women) who were identified from their medical records in the Brazilian National Health Service. Healthcare costs (US$) were assessed through medical records and divided into medical consultations, medications, laboratory tests, and total costs. MetS was assessed using medical records.
RESULTS: The Brazilian National Health Service spent more on consultations (US$ 22.75 versus US$ 19.39; + 17.3%) and medication (US$ 19.65 versus US$ 8.32; + 136.1%) among adults with MetS than among those without MetS, but the costs for laboratory tests were similar (P = 0.343). Total costs were 53.9% higher in adults with MetS than in those without the diagnosis of the disease (P = 0.001). Regarding total costs, there was an increase of US$ 38.97 when five components of MetS were present (P = 0.015), representing an increase of approximately 700%, even after adjusting for sex, age, and physical activity.
CONCLUSIONS: In conclusion, the presence of the MetS is responsible for increasing primary care costs among older adults, especially in those related to medicines.

Populations undergoing extensive and rapid socio-economic transitions including historically disadvantaged communities face an increased risk of type-2 diabetes (T2D). In recent years, sedentary behavior and physical inactivity have been considered modifiable determinants when developing primary prevention programs to reduce T2D incidence. Reunion Island is a French overseas department with an increasing T2D population and a high level of socio-economic inequality. The objectives of our study were to identify the individual, social, and environmental factors associated with sedentary behavior and physical inactivity among the Reunion Island adult population, and to highlight these findings in order to propose T2D primary prevention strategies aiming at alleviating local social inequalities in health (SIH). In 2021, we conducted a population-based cross-sectional telephone survey using random sampling. Participants included adults over 15 years old living in ordinary accommodation on Reunion Island (n = 2,010). Using a sequential approach, multinomial logistic regression model (explaining 3 profiles of interest: sedentary/inactive, sedentary/active, non-sedentary/inactive), and sampling-design weighted estimates, we found that 53.9% [95% confidence interval: 51.1 to 56.7%] of participants had sedentary behavior and 20.1% [95% CI: 17.8 to 22.5%] were inactive. Abandoning physical activity due to the COVID-19 pandemic (p<0.001), final secondary school diploma or above (p = 0.005), student as professional status (p≤0.005) and living in fewer poor neighborhoods located far from city centers (p = 0.030) were four conditions independently associated with sedentary/inactive and/or sedentary/active profiles. Based on these findings, to help reduce SIH, we used a typology of actions based on the underlying theoretical interventions including four main action categories: strengthening individuals (using person-based strategies), strengthening communities, improving living and working conditions, and promoting health-based macro-policies. Our findings suggest several directions for reducing lifestyle risk factors and enhancing T2D primary prevention programs targeting psychosocial, behavioral, and structural exposures.

BACKGROUND: Recovery from acute COVID-19 may be slow and incomplete: cases of Post-Acute Sequelae of COVID (PASC) are counted in millions, worldwide. We aimed to explore if and how the pre-existing Socio-economic-status (SES) influences such recovery.
METHODS: We analyzed a database of 1536 consecutive patients from the first wave of COVID-19 in Italy (February-September 2020), previously admitted to our referral hospital, and followed-up in a dedicated multidisciplinary intervention. We excluded those seen earlier than 12 weeks (the conventional limit for a possible PASC syndrome), and those reporting a serious complication from the acute phase (possibly accounting for symptoms persistence). We studied whether the exposition to disadvantaged SES (estimated through the Italian Institute of Statistics\'s model - ISTAT 2017) was affecting recovery outcomes, that is: symptoms (composite endpoint, i.e. at least one among: dyspnea, fatigue, myalgia, chest pain or palpitations); Health-Related-Quality-of-Life (HRQoL, as by SF-36 scale); post-traumatic-stress-disorder (as by IES-R scale); and lung structural damage (as by impaired CO diffusion, DLCO).
RESULTS: Eight-hundred and twenty-five patients were included in the analysis (median age 59 years; IQR: 50-69 years, 60.2% men), of which 499 (60.5%) were previously admitted to hospital and 27 (3.3%) to Intensive-Care Unit (ICU). Those still complaining of symptoms at follow-up were 337 (40.9%; 95%CI 37.5-42.2%), and 256 had a possible Post-Traumatic Stress Disorder (PTSD) (31%, 95%CI 28.7-35.1%). DLCO was reduced in 147 (19.6%, 95%CI 17.0-22.7%). In a multivariable model, disadvantaged SES was associated with a lower HRQoL, especially for items exploring physical health (Limitations in physical activities: OR = 0.65; 95%CI = 0.47 to 0.89; p = 0.008; AUC = 0.74) and Bodily pain (OR = 0.57; 95%CI = 0.40 to 0.82; p = 0.002; AUC = 0.74). We did not observe any association between SES and the other outcomes.
CONCLUSIONS: Recovery after COVID-19 appears to be independently affected by a pre-existent socio-economic disadvantage, and clinical assessment should incorporate SES and HRQoL measurements, along with symptoms. The socioeconomic determinants of SARS-CoV-2 disease are not exclusive of the acute infection: this finding deserves further research and specific interventions.

OBJECTIVE: To examine the association between patterns of alcohol consumption in the past and the risk of depression among medical aid beneficiaries and National Health Insurance beneficiaries in Korea.
METHODS: We used data from the National Health Information Database (NHID) of 1,292,618 participants who underwent health checkups in 2015-16 and 2017-18. We categorized alcohol consumption into four groups: continuous high, increased, decreased, and non-consumers. We followed the participants from 2019 to 2021 and identified new episodes of depression. We calculated adjusted odds ratios (aOR) and 95% confidence intervals (CI) for depression by alcohol consumption groups and socioeconomic status.
RESULTS: Medical aid beneficiaries had higher risks of depression than National Health Insurance beneficiaries across all alcohol consumption groups. The highest risk was observed among continuous high consumers (aOR, 2.31; 95% CI, 1.36-3.93), followed by increased (aOR, 1.51; 95% CI, 1.17-1.94), decreased (aOR, 1.48; 95% CI, 1.18-1.84), and non-consumers (aOR, 1.37; 95% CI, 1.22-1.54).
CONCLUSIONS: Socioeconomic status and patterns of alcohol consumption in the past are associated with the risk of depression. Public health interventions should consider both factors to reduce alcohol-related depression and health inequalities.

Introduction The double burden of malnutrition (DBM) in Pakistan is a rising concern affecting school-going children, marked by coexisting under- and over-nutrition within the same population. Key influences include shifts in dietary habits, socioeconomic status, and lifestyle changes due to rapid urbanization. With a focus on Multan, Pakistan, the study seeks to assess the proportion of underweight and overweight students while identifying the risk factors and sociodemographic characteristics associated with this incidence. The aim is to guide future health interventions addressing this multidimensional health challenge. Materials and methods This study, adopting a descriptive cross-sectional research design, collected data from female teenage students through interviews and anthropometric measurements. A total of 300 participants were randomly selected from a comprehensive school list representing diverse urban and rural settings. Participants\' weight and height were measured to calculate their body mass index (BMI), categorizing them into underweight, normal weight, and overweight groups. The relevant risk factors were collected through an interview questionnaire. Collected data were analyzed using IBM SPSS Statistics for Windows, Version 26.0 (Released 2019; IBM Corp., Armonk, New York, United States), with the results stratified according to socioeconomic, dietary, and psychosocial factors and compared across different weight categories. Results The study collected data from 300 students, revealing a correlation between socioeconomic status, dietary habits, and BMI. Parental occupation significantly affected nutritional status, with children of laborers primarily falling within normal and underweight categories. Dietary habits like frequency of fast food and milk or dairy consumption showed notable associations with nutritional status. Psychosocial factors such as peer or teacher comments about weight and outdoor sports participation also influenced the students\' nutritional status. However, factors like family income, video game hours, and the presence of pets at home did not show significant associations with nutritional status. Conclusions The study illustrates a multi-faceted association between socioeconomic status, dietary habits, and BMI among schoolchildren in Multan, Pakistan, emphasizing the need for comprehensive interventions.