Extreme Heat Exposure Is Associated with Higher Socioeconomic Disadvantage and Elevated Youth Delinquency.

Background: Climate change has led to an increase in the frequency and intensity of extreme heat events, a trend expected to continue. This poses significant health risks, particularly for vulnerable populations like children. While previous research has largely concentrated on the physical health impacts of extreme heat, less attention has been given to behavioral outcomes, such as delinquency. Objectives: This study investigates the association between extreme heat exposure and delinquency among children, utilizing data from the Adolescent Brain Cognitive Development (ABCD) study. It also explores the potential mediating roles of neighborhood socioeconomic status (SES; measured by median home value), puberty, peer deviance, and financial difficulties. Methods: Data from the national ABCD study were analyzed to assess the relationship between extreme heat exposure (exposure) and delinquency (outcome). Covariates included race/ethnicity, sex, and age. Mediators examined were neighborhood SES, puberty, peer deviance, and financial difficulties. Structural equation modeling (SEM) was employed for data analysis. Results: Overall, 11,878 children entered our analysis. The analysis revealed a significant association between extreme heat exposure and higher levels of delinquency among children. Children more exposed to extreme heat were more likely to be Black, reside in lower SES neighborhoods, experience greater financial difficulties, and have more advanced puberty status. The group facing the highest heat exposure was also economically disadvantaged. Conclusions: The findings suggest that children already disadvantaged by socio-economic factors are disproportionately affected by extreme heat, leading to increased delinquency. This highlights the need for targeted interventions to protect these vulnerable populations and address the mediators of extreme heat exposure. Future research should focus on longitudinal studies and evaluate the effectiveness of various mitigation strategies to address these disparities.

Long-term brain structural and cognitive outcomes in a low-risk preterm-born sample.

Prematurity has been related to altered brain structure and cognition, and so our aim was to describe them in the absence of major structural brain injury following low-risk preterm birth during adolescence and young adulthood. The sample consisted of 250 participants, 132 of whom were low-risk preterm (30-36 weeks' gestational age) and 118 were full-term individuals (37-42 weeks' gestational age), aged between 16 and 38 years old. All participants underwent an extensive neuropsychological assessment. T1- and diffusion-weighted MRI images of 33 low-risk preterm and 31 full-term young adults (20-32 years old) were analyzed. No differences were found in terms of general cognitive functioning score or current socioeconomic status; however, the low-risk preterm group obtained lower scores in phonetic and semantic fluencies, and theory of mind. Significant reductions were identified in the thalamus volume as well as thicker cortex in the inferior temporal gyrus in the low-risk preterm group. Low-risk preterm young adults evidenced greater regional AD and MD compared to the full-term sample; while low-risk preterm group showed lower mean NDI and ODI (FWE-corrected, p < 0.05). Being born preterm is associated with poorer performance in various cognitive domains (i.e., phonetic and semantic fluencies, and theory of mind) later in life, along with differences in normative structural brain development in inferior temporal gyrus and regional white matter microstructure.

Prognosis and risk factor assessment of patients with advanced lung cancer with low socioeconomic status: model development and validation.

BACKGROUND: Lung cancer, a major global health concern, disproportionately impacts low socioeconomic status (SES) patients, who face suboptimal care and reduced survival. This study aimed to evaluate the prognostic performance of traditional Cox proportional hazards (CoxPH) regression and machine learning models, specifically Decision Tree (DT), Random Forest (RF), Support Vector Machine (SVM), and Extreme Gradient Boosting (XGBoost), in patients with advanced lung cancer with low SES. DESIGN: A retrospective study. METHOD: The 949 patients with advanced lung cancer with low SES who entered the hospice ward of a tertiary hospital in Wuhan, China, from January 2012 to December 2021 were randomized into training and testing groups in a 3:1 ratio. CoxPH regression methods and four machine learning algorithms (DT, RF, SVM, and XGBoost) were used to construct prognostic risk prediction models. RESULTS: The CoxPH regression-based nomogram demonstrated reliable predictive accuracy for survival at 60, 90, and 120 days. Among the machine learning models, XGBoost showed the best performance, whereas RF had the lowest accuracy at 60 days, DT at 90 days, and SVM at 120 days. Key predictors across all models included Karnofsky Performance Status (KPS) score, quality of life (QOL) score, and cough symptoms. CONCLUSIONS: CoxPH, DT, RF, SVM, and XGBoost models are effective in predicting mortality risk over 60-120 days in patients with advanced lung cancer with low SES. Monitoring KPS, QOL, and cough symptoms is crucial for identifying high-risk patients who may require intensified care. Clinicians should select models tailored to individual patient needs and preferences due to varying prediction accuracies. REPORTING METHOD: This study was reported in strict compliance with the Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) guideline. PATIENT OR PUBLIC CONTRIBUTION: No patient or public contribution.

Associations of socioeconomic status and healthy lifestyle with incident dementia and cognitive decline: two prospective cohort studies.

Background: Little is known about the complex associations of socioeconomic status (SES) and healthy lifestyle with cognitive dysfunction. Methods: Using data from the Health and Retirement Study (HRS) [2008-2020] and the English Longitudinal Study of Ageing (ELSA) [2004-2018], SES was constructed by latent class analysis using education level, total household income and wealth. Overall healthy lifestyle was derived using information on never smoking, low to moderate alcohol consumption (drinks/day: (0, 1] for women and (0, 2] for men), top tertile of physical activity, and active social contact. Findings: A total of 12,437 and 6565 participants from the HRS and ELSA were included (40.8% and 46.0% men and mean age 69.3 years and 65.1 years, respectively). Compared with participants of high SES, those of low SES had higher risk of incident dementia (hazard ratio 3.17, 95% confidence interval 2.72-3.69 in the HRS; 1.43, 1.09-1.86 in the ELSA), and the proportions mediated by overall lifestyle were 10.4% (7.3%-14.6%) and 2.7% (0.5%-14.0%), respectively. Compared with participants of high SES and favorable lifestyle, those with low SES and unfavorable lifestyle had a higher risk of incident dementia (4.27, 3.40-5.38 in the HRS; 2.02, 1.25-3.27 in the ELSA) and accelerated rate of global cognitive decline (ß = -0.058 SD/year; 95% CI: -0.073, -0.043 in the HRS; ß = -0.049 SD/year; 95% CI: -0.063, -0.035 in the ELSA). Interpretation: Unhealthy lifestyle only mediated a small proportion of the socioeconomic inequality in dementia risk in both US and UK older adults. Funding: This work was supported by grants from the National Natural Science Foundation of China (82088102 and 82370819), the National Key R&D Program of China (2023YFC2506700), the Shanghai Municipal Government (22Y31900300), the Shanghai Clinical Research Center for Metabolic Diseases (19MC1910100), the Innovative Research Team of High-Level Local Universities in Shanghai, the Special Project for Clinical Research in Health Industry of Shanghai Municipal Health Commission (202340084), and Ruijin Hospital Youth Incubation Project (KY20240805). Y.X. is supported by the National Top Young Talents program.

Goal Concordant Care: A Cross-Sectional Study Evaluating Correlates of Concordant Care and Association With Satisfaction and Outcomes.

BACKGROUND: The concordance between patient and physician goals has been associated with improved outcomes in many chronic diseases. The purpose of this study was to evaluate the association between goal concordant care, patient satisfaction, and patient experience and to analyze factors associated with goal concordant care in hand and upper extremity surgery. METHODS: New patients who were 18 years or older were invited to participate. Goal concordant care was defined as the patient's previsit treatment goal matching the primary treatment received. The χ2 tests were used to evaluate the association between goal concordant care and patient satisfaction and patient experience. We conducted univariable logistic regression to evaluate variables for their association with concordance and multivariable logistic regression for variables that were significantly associated in the initial analyses to evaluate their aggregate influence on concordance. RESULTS: In total, 169 patients enrolled. The rate of goal concordant care was 62%; concordance was not associated with patient satisfaction or experience. Age, sex, English proficiency, health literacy, education level, employment and relationship status, pain self-efficacy, symptom duration, functional disability, and patient-centered decision-making were not associated with concordant care. Patients with annual income less than $50,000 had significantly higher odds of goal discordant care. CONCLUSION: Patients with lower income had more than 3 times the odds of receiving discordant care. However, discordant care was not associated with patient satisfaction or experience. Further studies on other pertinent outcomes are needed in orthopedic surgery (eg, treatment adherence). Known care disparities based on socioeconomic status may be mediated through care discordance and should be investigated.

A new way to identify if variation in children's input could be developmentally meaningful: Using computational cognitive modeling to assess input across socio-economic status for syntactic islands.

While there are always differences in children's input, it is unclear how often these differences impact language development - that is, are developmentally meaningful - and why they do (or do not) do so. We describe a new approach using computational cognitive modeling that links children's input to predicted language development outcomes, and can identify if input differences are potentially developmentally meaningful. We use this approach to investigate if there is developmentally-meaningful input variation across socio-economic status (SES) with respect to the complex syntactic knowledge called syntactic islands. We focus on four island types with available data about the target linguistic behavior. Despite several measurable input differences for syntactic island input across SES, our model predicts this variation not to be developmentally meaningful: it predicts no differences in the syntactic island knowledge that can be learned from that input. We discuss implications for language development variability across SES.

Disparities in Musculoskeletal Oncology.

PURPOSE OF REVIEW: Disparities within the healthcare system serve as barriers to care that lead to poor outcomes for patients. These healthcare disparities are present in all facets of medicine and extend to musculoskeletal oncology care. There are various tenets to health disparities with some factors being modifiable and non-modifiable. The factors play a direct role in a patient's access to care, time of presentation, poor social determinants of health, outcomes and survival. RECENT FINDINGS: In musculoskeletal oncologic care, factors such as race, socioeconomic factors and insurance status are correlated to advanced disease upon presentation and poor survival for patients with a sarcoma diagnosis. These factors complicate the proper delivery of coordinated care that is required for optimizing patient outcomes. Healthcare disparities lead to suboptimal outcomes for patients who require musculoskeletal oncologic care in the short and long term. More research is required to identify ways to address the known modifiable and non-modifiable factors to improve patient outcome.

Early-life socioeconomic position and later-life cognitive functioning: A meta-analysis.

OBJECTIVES: This meta-analysis aimed to quantify the association between childhood SEP and later-life cognitive functioning and identify possible moderators. METHOD: We conducted random-effects meta-analyses of 39 reports, contributing 49 independent subsamples from 229,824 respondents. Moderators were analyzed using meta-regression and subgroup analyses. RESULTS: There was a small, positive correlation between childhood socioeconomic position (SEP) and cognitive functioning in older adulthood across the overall summary effect (r = 0.161), global cognitive functioning (r = 0.183), verbal episodic memory (r = 0.148), verbal fluency (r = 0.196), and processing speed (r = 0.130), but not inhibition (r = 0.058). An older mean sample age was linked with a weaker correlation for the overall summary effect and verbal episodic memory. Higher sample education was a significant moderator for verbal episodic memory only, such that the association between childhood SEP and verbal episodic memory was weaker at higher levels of education. Across all domains, mother's education was more strongly linked with cognitive functioning than other SEP constructs were. There was no significant moderation by gender, national income inequality, study design (whether prospective or retrospective), or the age of the childhood SEP measure (ages 0-4 or 9-15). Minimal publication bias was present. DISCUSSION: The socioeconomic conditions of one's childhood are related to cognitive performance in older adulthood. Policymakers should consider legislation and programs to improve circumstances for low-income children and families, particularly those that increase women's educational access, as targets for improving cognitive outcomes in later life.

The Challenges of Measuring Socioeconomic Inequality in Pharmacoepidemiology Studies.

Social conditions like socioeconomic status (SES) are critical sources of health disparities. In pharmacoepidemiology research, our ability to measure SES in retrospective, real world clinical data remains challenged by a lack of patient-reported data. Some broadly accepted concepts can be measured at the individual level, such as income, poverty, and education. Community-level measures such as the Centers for Disease Control and Prevention's Social Vulnerability Index (SVI) also exist. After reflecting on these existing measures and discussing the challenges for leveraging them with real world data, we offer three recommendations that we believe could improve the ability of pharmacoepidemiologists to better measure and interrogate the effect of SES in their own research. These recommendations include a greater collection of patient-reported metrics, reduced reliance on ZIP Codes and ZIP Code Tabulation Areas for creating community-level measures of deprivation, and the inclusion of GIS and demography specialists within pharmacoepidemiology teams.

The importance of timing of socioeconomic disadvantage throughout development for depressive symptoms and brain structure.

Prior studies have reported associations between socioeconomic disadvantage, brain structure and mental health outcomes, but the timing of these relations is not well understood. Using prospective longitudinal data from the Avon Longitudinal Study of Parents and Children (ALSPAC), this preregistered study examined whether socioeconomic disadvantage related differentially to depressive symptoms (n=3012-3530) and cortical and subcortical structures (n=460-733) in emerging adults, depending on the timing of exposure to socioeconomic disadvantage. Family income in early childhood and own income measured concurrently were both significantly related to depressive symptoms in emerging adulthood. Similar results were observed for perceived financial strain. In contrast, only family income in early childhood was associated with brain structure in emerging adulthood, with positive associations with intracranial volume and total and regional cortical surface area. The findings suggest that both objective and subjective aspects of one's financial standing throughout development relate to depressive symptoms in adulthood, but that specifically early life family income is related to brain structural features in emerging adulthood. This suggests that associations between socioeconomic disadvantage and brain structure originate early in neurodevelopment, highlighting the role of timing of socioeconomic disadvantage.

Ideal body image and socioeconomic factors: exploring the perceptions of Kenyan women.

BACKGROUND: Non-communicable diseases are an increasing threat in sub-Saharan Africa (SSA), and overweight and obesity are affecting people across all socioeconomic groups. Some studies suggest that big body sizes may be perceived as desirable among women in SSA and that high prevalence of obesity and overweight are especially present in low socioeconomic societies. This study explores the role of socioeconomic factors in the perception of the ideal body among Kenyan women and whether perceptions and beliefs about the ideal body should be considered relevant when targeting the prevention of obesity and overweight. METHOD: In-depth interviews were conducted with 8 Kenyan women with varying educational backgrounds, aged between 21 and 48, using a qualitative study design. The interviews were conducted in December 2022 and January 2023 in Nairobi, audio-recorded, transcribed and analysed through qualitative content analysis and a coding system using deductive and inductive codes. RESULTS: The participants reported that conclusions about a person's health and wealth status are drawn based on different body sizes. Furthermore, traditional views about the ideal body size, societal pressure, as well as the women's own experience with their body size play a role in the perception of an ideal body. CONCLUSION: Small-sized women desire to gain weight as society may view them as weak and sick. Big-sized women aim to reduce weight primarily due to health complications. Nevertheless, traditionally, a big-sized woman is considered strong and wealthy, creating external pressure on women to fulfil this body image-these findings emphasise traditional aspects in designing culturally sensitive prevention and intervention methods to address overweight and obesity.

The risk of hemochromatosis among first- and second-generation immigrants: a cohort study of the total population in Sweden.

Purpose: We aimed to analyze the risk of hereditary hemochromatosis (HH) among first-generation and second-generation immigrants in Sweden using Swedish-born individuals and Swedish-born individuals with Swedish-born parents as referents, respectively. Methods: All individuals aged 18 years of age and older, n = 6,180,500 in the first-generation study, and n = 4,589,930 in the second-generation study were included in the analyses. HH was defined as at least one registered diagnosis International Classification of Diseases 10th edition (E83.1) in the National Patient Register between January 1, 1998 and December 31, 2018. Cox regression was used to estimate the hazard ratios (HRs) with 99% confidence intervals (CI) owing to multiple testing, of incident HH with adjustments for age, cancer, other comorbidities, and socio-demographics. Results: In the first-generation study, there were 5,112 cases of HH, and in the second-generation study 4,626 cases of HH. The adjusted HRs for first-generation men and women overall were 0.72 (99% CI: 0.63-0.82) and 0.61 (99% CI: 0.52-0.72), respectively, and for the second-generation men and women 0.72 (99% CI: 0.62-0.83) and 0.97 (99% CI: 0.83-1.14), respectively, with a higher risk found only among first-generation men from Western Europe, HR 1.47 (99% CI: 1.05-2.06), compared to the control group. Conclusions: Our findings indicate that the overall risk of HH was lower among both first-generation and second-generation immigrants when compared to individuals born in Sweden or with Swedish-born parents. An elevated risk for HH was observed exclusively among first-generation men originating from Western Europe. These findings represent new knowledge and should be of global interest.

Association Between Social Vulnerability and Gastrointestinal Cancer Mortality in the United States Counties.

Background and Aims: Social determinants of health contribute to disparities in gastrointestinal (GI) cancer mortality between individuals in the US. Their effects on count-level mortality rates remain uncertain. We aimed to assess the association between county social vulnerability and GI cancer mortality. Methods: In this ecological study (2016-2020), we obtained US county Social Vulnerability Index (SVI) from the Centers for Disease Control and Prevention/Agency for Toxic Substances and Disease Registry and age-adjusted mortality rates (AAMRs) for GI cancers from Centers for Disease Control and Prevention WONDER (Wide-Ranging Online Data for Epidemiological Research). SVI ranges from 0 to 1, with higher indices indicating greater vulnerability. We presented AAMRs by quintiles of SVIs. We used Poisson regression through generalized estimating equation to calculate rate ratios (RRs) and 95% confidence intervals (CIs) for GI cancer mortality by quintiles of SVI. Results: There were 799,968 deaths related to GI cancers from 2016 to 2020, resulting in an AAMR (95% CI) of 39.9 (41.4-51.2) deaths per 100,000 population. The largest concentration of counties with greater SVI and GI cancer mortality was clustered in the southern US. Counties with greater SVI had higher mortality related to all GI cancers (RRQ5 vs Q1, 1.19 [95% CI, 1.14-1.24]), gastric cancer (1.58 [1.48-1.69]), liver cancer (1.54 [1.36-1.73]), and colorectal cancer (RRQ5 vs Q1, 1.23 [95% CI, 1.15-1.31]). RRs for overall GI cancers were greater among individuals <45 years (1.24 [1.15-1.32]), men (1.22 [1.16-1.27]), Hispanic individuals (1.33 [1.18-1.50]), and rural counties (1.21 [1.14-1.27]) compared with their counterparts. Conclusion: Socially disadvantaged counties face a disproportionately high burden of GI cancer mortality in the US. Targeted public health interventions should aim to address social inequities faced by underserved communities.

The effect of social isolation on the cognitive ability of the oldest old in Chinese nursing homes in post-COVID-19: a moderated chain mediation model.

Background: Both pre-or post-COVID-19, older adults residing in nursing homes are at significant risk for social isolation, which is negatively associated with cognitive ability. Currently, the elderly aged 80 years and older are the fastest-growing age group globally. The extent of social isolation within this group post-COVID-19 and its impact on cognitive abilities remain inadequately explored. Objective: This research aimed to evaluate the prevalence of social isolation among the oldest old in Chinese nursing homes post-COVID-19 and to investigate the mediating and moderating roles of basic activities of daily living (BADL), depression, and subjective socioeconomic status in the relationship between social isolation and cognitive ability. Methods: This cross-sectional study included 453 participants aged 80 years and older from 11 nursing homes in Ningbo, Zhejiang Province, China. Social isolation was assessed using the Lubben Social Network Scale-6 (LSNS-6), cognitive ability using the Mini-Mental State Examination (MMSE), BADL using the Barthel Index (BI), and depression using the Patient Health Questionnaire-9 items (PHQ-9). Mediation and moderation effects were statistically analyzed using SPSS 23.0 and PROCESS 3.5. Results: The mean age of the study sample was 87.1 ± 3.8 years, among whom 60.3% (n = 273) were female, and 56.1% experienced social isolation, with 41.1% and 63.1% being isolated from family and friends, respectively. Social isolation indirectly affected cognitive ability through BADL and depression, respectively, and through the chain mediation effect of BADL and depression. Subjective socioeconomic status moderated the relationships between social isolation and BADL and between social isolation and depression. However, no moderating effect of subjective socioeconomic status was found between social isolation and cognitive ability. Conclusion: This study deepens our understanding of the current state of social isolation and its mechanisms of action in the oldest old post-COVID-19 and provides a new basis for future public health policy development and related research.

The influence of vehicle size on perception and behavior toward drivers.

This study examines the effects of vehicle size on driver impressions and behavioral intentions. Study 1 tested whether vehicle size (large vs. small) affects perceived physical size (height, body shape) through socioeconomic status (SES). We found that large (vs. small) vehicle drivers were perceived as tall (vs. short), and this perception was mediated by the drivers' estimated SES (but not by body shape). Study 2 focused on aggressive behavioral intentions (e.g. honking) toward other drivers, examining whether the relationship between vehicle size and intention was serially mediated by estimated physical size and traits (aggression, power). Here, large (vs. small) vehicle driver were perceived as tall (heavy) and possessing high power (high aggression), which is related to less (more) aggressive behavioral intention toward the driver. Our study suggests that individuals perceive other drivers' physical sizes differently, and this perception is associated with differences in behavioral responses toward other drivers.

Inequality in Mortality and Cardiovascular Risk Among Young, Low-Income, Self-Employed Workers: Nationwide Retrospective Cohort Study.

Background: Self-employment is a significant component of South Korea's labor force; yet, it remains relatively understudied in the context of occupational safety and health. Owing to different guidelines for health checkup participation among economically active individuals, disparities in health maintenance may occur across varying employment statuses. Objective: This study aims to address such disparities by comparing the risk of all-cause mortality and comorbidities between the self-employed and employee populations in South Korea, using nationwide data. We sought to provide insights relevant to other countries with similar cultural, social, and economic contexts. Methods: This nationwide retrospective study used data from the Korean National Health Insurance Service database. Participants (aged 20-59 y) who maintained the same insurance type (self-employed or employee insurance) for ≥3 years (at least 2008-2010) were recruited for this study and monitored until death or December 2021-whichever occurred first. The primary outcome was all-cause mortality. The secondary outcomes were ischemic heart disease, ischemic stroke, cancer, and hospitalization with a mental illness. Age-standardized cumulative incidence rates were estimated through an indirect method involving 5-unit age standardization. A multivariable Cox proportional hazards model was used to estimate the adjusted hazard ratio (HR) and 95% CI for each sex stratum. Subgroup analyses and an analysis of the effect modification of health checkup participation were also performed. Results: A total of 11,652,716 participants were analyzed (follow-up: median 10.92, IQR 10.92-10.92 y; age: median 42, IQR 35-50 y; male: n=7,975,116, 68.44%); all-cause mortality occurred in 1.27% (99,542/7,851,282) of employees and 3.29% (124,963/3,801,434) of self-employed individuals (P<.001). The 10-year cumulative incidence rates of all-cause mortality differed significantly by employment status (1.1% for employees and 2.8% for self-employed individuals; P<.001). The risk of all-cause mortality was significantly higher among the self-employed individuals when compared with that among employees, especially among female individuals, according to the final model (male: adjusted HR 1.44, 95% CI 1.42-1.45; female: adjusted HR 1.89, 95% CI 1.84-1.94; P<.001). The risk of the secondary outcomes, except all types of malignancies, was significantly higher among the self-employed individuals (all P values were <.001). According to subgroup analyses, this association was prominent in younger individuals with lower incomes who formed a part of the nonparticipation groups. Furthermore, health checkup participation acted as an effect modifier for the association between employment status and all-cause mortality in both sexes (male: relative excess risk due to interaction [RERI] 0.76, 95% CI 0.74-0.79; female: RERI 1.13, 95% CI 1.05-1.21). Conclusions: This study revealed that self-employed individuals face higher risks of all-cause mortality, cardio-cerebrovascular diseases, and mental illnesses when compared to employees. The mortality risk is particularly elevated in younger, lower-income individuals who do not engage in health checkups, with health checkup nonparticipation acting as an effect modifier for this association.

Health condition and socioeconomic status mediate the causal effect of reproductive traits on nonalcoholic fatty liver disease: evidence from Mendelian randomization study.

Background: Observational data posits a correlation between reproductive traits and nonalcoholic fatty liver disease (NAFLD), but their causal inference is still unclear. This investigation seeks to elucidate the causal influence of reproductive traits on NAFLD and determine the intervening role of health condition and socioeconomic status in these connections. Methods: Utilizing a Mendelian Randomization (MR) approach, this research leveraged a comprehensive dataset from the Genome-wide Association Study (GWAS) database. The study incorporated body mass index, major depression, educational level, household income and Townsend deprivation index as intermediary variables. Initially, a bidirectional two-sample MR study was conducted to explore the genetic associations between reproductive traits and NAFLD. Then, two-step MR analyses were implemented to quantify the extent of mediation by these indicators. The weighted inverse variance method was the primary analytical approach, complemented by several sensitivity analyses to affirm the robustness of the MR assumptions. Finally, these findings were validated in the FinnGen research. Results: The bidirectional MR analysis indicated that earlier reproductive traits (age at menarche, age at first sexual intercourse, and age at first birth) were associated with an elevated risk of NAFLD, absent any evidence of the reverse relationship. Body mass index accounted for 35.64% of the association between premature menarche and NAFLD. Additionally, body mass index, major depression, educational level and household income mediated 41.65%, 14.35%, 37.88%, and 18.59% of the connection between early sexual intercourse and NAFLD, respectively. Similarly, these same variables elucidated 36.36%, 15.58%, 41.56%, and 22.73% of the correlation between younger age at first birth and NAFLD. Conclusion: Our study elucidated the causal relationships between reproductive traits and NAFLD. Potential underlying mechanisms may involve factors such as body mass index, major depression, educational attainment and household income.

Identifying Potential Factors Associated With Racial Disparities in COVID-19 Outcomes: Retrospective Cohort Study Using Machine Learning on Real-World Data.

BACKGROUND: Racial disparities in COVID-19 incidence and outcomes have been widely reported. Non-Hispanic Black patients endured worse outcomes disproportionately compared with non-Hispanic White patients, but the epidemiological basis for these observations was complex and multifaceted. OBJECTIVE: This study aimed to elucidate the potential reasons behind the worse outcomes of COVID-19 experienced by non-Hispanic Black patients compared with non-Hispanic White patients and how these variables interact using an explainable machine learning approach. METHODS: In this retrospective cohort study, we examined 28,943 laboratory-confirmed COVID-19 cases from the OneFlorida Research Consortium's data trust of health care recipients in Florida through April 28, 2021. We assessed the prevalence of pre-existing comorbid conditions, geo-socioeconomic factors, and health outcomes in the structured electronic health records of COVID-19 cases. The primary outcome was a composite of hospitalization, intensive care unit admission, and mortality at index admission. We developed and validated a machine learning model using Extreme Gradient Boosting to evaluate predictors of worse outcomes of COVID-19 and rank them by importance. RESULTS: Compared to non-Hispanic White patients, non-Hispanic Blacks patients were younger, more likely to be uninsured, had a higher prevalence of emergency department and inpatient visits, and were in regions with higher area deprivation index rankings and pollutant concentrations. Non-Hispanic Black patients had the highest burden of comorbidities and rates of the primary outcome. Age was a key predictor in all models, ranking highest in non-Hispanic White patients. However, for non-Hispanic Black patients, congestive heart failure was a primary predictor. Other variables, such as food environment measures and air pollution indicators, also ranked high. By consolidating comorbidities into the Elixhauser Comorbidity Index, this became the top predictor, providing a comprehensive risk measure. CONCLUSIONS: The study reveals that individual and geo-socioeconomic factors significantly influence the outcomes of COVID-19. It also highlights varying risk profiles among different racial groups. While these findings suggest potential disparities, further causal inference and statistical testing are needed to fully substantiate these observations. Recognizing these relationships is vital for creating effective, tailored interventions that reduce disparities and enhance health outcomes across all racial and socioeconomic groups.

Essential advance care planning intervention features in low-income communities: A qualitative study.

CONTEXT: Older adults with low socioeconomic status (SES) participate in advance care planning (ACP) at lower rates than those with higher SES. Community feedback is an essential component of intervention design for communities with fewer social and health resources to ensure that the intervention is relevant and meaningful. OBJECTIVES: To understand the perspectives for potential interventions, we aimed to qualitatively explore participant priorities for ACP intervention development. METHODS: Using a qualitative descriptive design, we recruited and conducted individual and one-time, semi-structured interviews with older adults (aged 50+) with low income (<$20,000/year) (n=20), Recruitment methods included flyers and in-person recruitment and purposive and snowball sampling methods. Following a thematic analysis plan, themes emerged from recursive transcript review by two independent coders and inductive categorization of the most robust codes. RESULTS: Two themes captured participants' perspectives regarding ACP intervention development: 1) specialist advocacy and reliability and 2) person-centered communication. Older adults with low SES prioritize ACP communication that is driven by their goals and that is led by trustworthy specialists that advocate for their needs. CONCLUSION: Our work highlights that intervention preferences were informed by the prior strain and struggle of waiting on other kinds of health and social services. We propose an adapted model for community research collaboration to promote equity in addition to practice and policy recommendations.

Evaluating the Clinical Effectiveness of Cardiac Rehabilitation among Patients of Very Low Socioeconomic Status Living in Colombia.

Cardiovascular disease (CVD) poses a significant health burden, particularly among individuals of low socioeconomic status (SES) in low- and middle-income countries (LMICs). This study evaluates the clinical effectiveness of cardiac rehabilitation (CR) in addressing CVD outcomes among very low-SES patients in Colombia. Data from participants enrolled in a CR program in Colombia between 2022 and 2023 were analyzed retrospectively. Measures included heart-healthy behaviors, physical/psychological outcomes, and quality of life assessed at 18, 36, and 60 sessions. Significant improvements were observed in exercise capacity, psychological well-being, and quality of life metrics throughout the CR program. However, barriers to CR attendance and the critical need for expanded program availability remain evident, particularly in LMIC settings like Colombia. In conclusion, structured CR programs demonstrate substantial benefits for very low-SES individuals in a LMIC country, highlighting the urgent need for increased program accessibility and equitable healthcare provision to optimize cardiovascular health outcomes.