Ssm-Population Health最新文献

{"title":"Countering the forgetting of novel health information with ‘social boosting’","authors":"Vaibhav Krishna,&nbsp;Nicholas A. Christakis","doi":"10.1016/j.ssmph.2026.101902","DOIUrl":"10.1016/j.ssmph.2026.101902","url":null,"abstract":"<div><div>The prevalence of misleading information, especially with respect to health care practices, poses a threat. While studies have shown the effectiveness of various intervention techniques in mitigating the adverse effects of low-quality or false information, the effectiveness of such interventions can decay. Here, we investigate the role of the detailed social structure within which the intervened individuals live, which provides opportunities for the individuals to discuss and internalize new knowledge. We evaluated this with respect to information about maternal and child health care, delivered via a 22-month in-home intervention, among targeted individuals in 110 isolated Honduran villages. We hypothesize that individuals who receive specific knowledge can internalize and consolidate this information by engaging in social interactions where, for instance, they have an opportunity to discuss it with others. We found that well-connected individuals within a social network experience an enhanced effectiveness of knowledge interventions. These individuals may be more likely to internalize and retain the information and reinforce it in others, due to increased opportunities for social interaction where they teach or explain new knowledge, a mechanism we refer to as \"social boosting\". These findings underscore the role of social interactions in reinforcing health knowledge interventions.</div></div>","PeriodicalId":47780,"journal":{"name":"Ssm-Population Health","volume":"33 ","pages":"Article 101902"},"PeriodicalIF":3.1,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147285642","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Driving and public transit barriers to dental care in the United States","authors":"Md Shahinoor Rahman ,&nbsp;Ichiro Kawachi ,&nbsp;Benjamin D. Sommers ,&nbsp;Renuka Tipirneni ,&nbsp;Jeffrey C. Blossom ,&nbsp;Hawazin W. Elani","doi":"10.1016/j.ssmph.2026.101907","DOIUrl":"10.1016/j.ssmph.2026.101907","url":null,"abstract":"<div><div>Despite the increasing number of dentists in the United States, the uneven distribution of dental clinics and inequities in public transportation contribute to ongoing disparities in access to dental care. This study examined travel times by car and public transit to the nearest dental clinic across the United States. We used data on 104,695 clinics from the IQIVIA practitioners' database. Drive and transit times to the nearest dental clinic were calculated at the block group level. Longer travel-time hotspots were defined as areas where the Getis-Ord Gi∗ z-score was ≥1.96, corresponding to statistical significance at the 95% confidence level. Approximately 49.3 million (19.1%) of US adults lack public transit access to dental care. Mean public transit times were 13.0, 18.5, and 34.3 min in urban, suburban, and rural areas, respectively, while mean driving times were 2.8, 3.4, and 10.5 min. Block groups experiencing extreme social deprivation were 1.7 times more likely (95% CI: 1.5–2.0) to be in drive-time hotspots, and 3.7 times more likely (95% CI: 3.2–4.3) compared with those with the least deprivation. Suburban and rural block groups were 1.4 times (95% CI: 1.3–1.6) and 2.4 times (95% CI: 2.2–2.7), respectively, more likely to be in public-transit-time hotspots than urban block groups. These findings demonstrate significant transportation barriers to accessing dental care across different regions and demographic groups, highlighting disparities in geographic accessibility.</div></div>","PeriodicalId":47780,"journal":{"name":"Ssm-Population Health","volume":"33 ","pages":"Article 101907"},"PeriodicalIF":3.1,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147448488","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The contribution of unpaid labour to poor mental health in the Swedish working population","authors":"Anu Molarius ,&nbsp;Fredrik Granström ,&nbsp;Jennifer Ervin","doi":"10.1016/j.ssmph.2025.101864","DOIUrl":"10.1016/j.ssmph.2025.101864","url":null,"abstract":"<div><div>Poor mental health is debilitating and of global public health concern. Unpaid labour has been recognised as an important yet neglected, and highly gendered, determinant of mental health. We examined the contribution of unpaid labour to poor mental health, in relation to other known risk factors, in employed adults. Study data is from 5462 employed Swedish women and men aged 30–49 years responding to a population survey in 2022. Independent associations between domestic work (inclusive of unpaid household and care work) and self-reported diagnosed depression and anxiety were examined by multiple logistic regression. The contributions of economic difficulties, loneliness, physical inactivity, risk consumption of alcohol and job dissatisfaction to depression and anxiety were also investigated. Gender-specific population attributable risks (PAR) were calculated to assess the contributions. In total, 10 % of the women and 6 % of the men reported depression while 12 % and 6 %, respectively, reported anxiety. Experiencing domestic work as burdensome explained 47 % (95 % CI: 31–57 %) (PAR) of the prevalence of depression in women, whereas no independent association was found in men. Loneliness, economic difficulties and physical inactivity accounted for 13–28 % of the prevalence of depression in both women and men. Burdensome domestic work was associated with anxiety in both genders and explained 22–25 % of the prevalence. Whilst longitudinal studies are needed, these results imply that unpaid labour is a highly important contributing factor to poor mental health, especially among women. Promoting a more equal division of unpaid labour has the potential to improve mental health across the working population.</div></div>","PeriodicalId":47780,"journal":{"name":"Ssm-Population Health","volume":"32 ","pages":"Article 101864"},"PeriodicalIF":3.1,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145097105","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The decline in the physical stature of the U.S. population parallels the diminution in the rate of increase in life expectancy","authors":"John Komlos","doi":"10.1016/j.ssmph.2025.101872","DOIUrl":"10.1016/j.ssmph.2025.101872","url":null,"abstract":"<div><div>The U.S. healthcare and food-provisioning systems have failed to create an environment in which the human biological organism can flourish. Consequently, key health outcomes, most notably life expectancy, have consistently lagged those of other high-income populations since the Reagan era, coinciding with the adoption of economic policies that increased inequality and precarity across the population. We estimate the trends in physical stature, another omnibus indicator of a population's biological well-being that reflects not only nutritional intake, inequality, and stress experienced by the population, but also the overall health environment—using a sample of 44,322 adults from the NHANES surveys, stratified by gender and three ethnic groups. We find that the height of Americans began to decline among those born around or before the early 1980s in parallel with the diminution in the rate of increase of life expectancy. The decline in adult height ranged from 0·68 ± 0.36 cm among white women to 1·97 ± 0.50 cm among Hispanic men and is statistically significant across all six demographic groups considered. This decline in heights serves as corroborating evidence that the U.S.‘s laissez-faire approach to healthcare and food provisioning delivers suboptimal population health outcomes. Public health priorities urgently need to be refocused.</div></div>","PeriodicalId":47780,"journal":{"name":"Ssm-Population Health","volume":"32 ","pages":"Article 101872"},"PeriodicalIF":3.1,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145416904","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Differences across intersecting racial, ethnic, and gender identity in the spatiotemporal patterning of suicide clusters in the US from 2005-2020","authors":"Amanda Sursely ,&nbsp;John R. Pamplin II ,&nbsp;Megan E. Gilster ,&nbsp;Carol Coohey ,&nbsp;Katherine M. Keyes ,&nbsp;Jonathan M. Platt","doi":"10.1016/j.ssmph.2025.101866","DOIUrl":"10.1016/j.ssmph.2025.101866","url":null,"abstract":"<div><h3>Objectives</h3><div>To identify spatiotemporal trends in suicide clusters across multiple intersecting sociodemographic groups of US adults from 2005 to 2020.</div></div><div><h3>Methods</h3><div>US Vital Statistics data were used to calculate county-level suicide rates in adults from 2005 to 2020. Rates were calculated for 16 intersecting sociodemographic groups, defined by mutually exclusive combinations of race (American Indian/Alaskan Native (AIAN), Asian/Pacific Islander (API), Black, White), ethnicity (Hispanic, non-Hispanic), and sex (male, female). For each group, spatiotemporal suicide clusters were identified using the SaTScan space-time statistic, based on counties where suicide rates were higher (hot clusters) or lower (cold clusters) than expected. We also calculated the average proportion of deaths contained in clusters, to quantify the importance of clusters relative to total suicide rates.</div></div><div><h3>Results</h3><div>Overall, 275 clusters were identified, comprising 11.4 % of total suicides. Clusters ranged from 1 among non-Hispanic Black women to 135 among non-Hispanic White men. The number and magnitude of hot clusters (RR &gt; 1) increased over time among Hispanic White men and women, and the highest magnitude clusters were observed in non-Hispanic Native American women. No clusters were identified for Hispanic AIAN women or Hispanic API men. Hot clusters were most prevalent in Western counties across all groups. Cold clusters were most prevalent in urban counties.</div></div><div><h3>Conclusions</h3><div>Suicide rates and spatial clusters have increased since 2005, with distinct patterning between sociodemographic groups. The identification of specific communities that may be at disproportional risk for suicide highlight opportunities to tailor individual- and population-level prevention efforts in emerging high-risk groups.</div></div>","PeriodicalId":47780,"journal":{"name":"Ssm-Population Health","volume":"32 ","pages":"Article 101866"},"PeriodicalIF":3.1,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145267635","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"What machine learning teaches us about depression prediction across the life course: An exploratory comparison of predictive models","authors":"Rafael Geurgas ,&nbsp;Saul J. Newman ,&nbsp;Evelina T. Akimova ,&nbsp;Katherine N. Thompson ,&nbsp;Robbee Wedow","doi":"10.1016/j.ssmph.2025.101886","DOIUrl":"10.1016/j.ssmph.2025.101886","url":null,"abstract":"<div><div>Identifying individuals at risk for depression early is important for preventing long-term mental health issues. However, the variability in depression severity, duration, and triggers complicates predictions. This study explores whether machine learning models can outperform traditional methods, like Logistic Regression, in predicting self-reported depressive symptoms and clinical depression during adolescence and adulthood. We applied five machine learning models with varying complexity levels – Logistic Regression, Decision Tree, XGBoost, Support Vector Machine, and Neural Networks – using data from a nationally representative longitudinal study of the U.S., which tracked participants for 20 years. The models were trained with early-life predictors (ages 12–18) from Wave I, including environmental factors (family, school, health) and genetic predispositions (polygenic scores) from Wave IV. Models were evaluated on their ability to predict depressive symptoms and clinical diagnoses in both adolescence and adulthood. After evaluating the performance of all five models, XGBoost emerged as the most effective, with a 0.02 increase in ROC-AUC compared to the benchmark Logistic Regression model. While this is a slight performance improvement, overall, Logistic Regression performs about as well as many of our ML models. Early-life data showed strong predictive value for depressive symptoms and clinical diagnoses in adolescence and adulthood, highlighting adolescence as a critical period. Polygenic scores do not add predictive power when combined with environmental data. Feature importance analyses identified self-perception and physical health as key predictors of depressive symptoms, while trauma and life-changing events were more influential for clinical depression.</div></div>","PeriodicalId":47780,"journal":{"name":"Ssm-Population Health","volume":"32 ","pages":"Article 101886"},"PeriodicalIF":3.1,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145614558","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Patterns of violence exposure in a life-course perspective and associations to mental and physical health problems and health-related risk behaviors among women and men in Sweden: A latent class analysis","authors":"Rickard Pettersson ,&nbsp;Steven Lucas ,&nbsp;Mattias Strandh","doi":"10.1016/j.ssmph.2025.101874","DOIUrl":"10.1016/j.ssmph.2025.101874","url":null,"abstract":"<div><h3>Background</h3><div>Individual histories of abuse characteristics and other adversities must be considered to understand poly-victimization and its impact on ill-health, which suggests the importance of understanding how experiences of violence are interconnected over a life-course.</div></div><div><h3>Objective</h3><div>To explore gendered patterns of lifetime poly-victimization—physical, emotional, and sexual—and examine how distinct exposure profiles relate to adult health outcomes. The analysis is guided by the Trauma-Informed Theory of Individual Health Behavior (TTB) framework to deepen understanding of gendered trauma trajectories and their long-term effects.</div></div><div><h3>Methods</h3><div>10 337 Swedish women and men aged 18–74 participated in a combined online and postal survey. Attrition bias was controlled for based on official registry information. Latent Class Analysis (LCA) was used for identification of groups. Associations between mental and physical health indicators and health-related risk behaviors were analyzed using logistic regression, adjusting for background variables including age, self-reported parental immigrant status, and parental educational attainment.</div></div><div><h3>Results</h3><div>Patterns of lifetime poly-victimization were more complex among women (7 classes) than men (4 classes). Among men, exposure was primarily characterized by childhood physical and emotional violence, as well as adult non-partner physical violence. In contrast, women's profiles often included childhood sexual violence and partner violence in adulthood, with stronger associations to multiple health problems and risk behaviors, and generally higher odds ratios compared to men. Among women, three unique clusters were identified, one of which may reflect more advanced resilience capacities compared to other clusters with similar trajectories of childhood violence exposure.</div></div><div><h3>Conclusions</h3><div>Gendered patterns of poly-victimization and their health-related consequences underscore the importance of early intervention to prevent revictimization. The identification of unique and resilient clusters among women, despite similar childhood violence exposure, highlights the need for further research into protective mechanisms and trauma-to-benefit pathways, as conceptualized within the TTB framework.</div></div>","PeriodicalId":47780,"journal":{"name":"Ssm-Population Health","volume":"32 ","pages":"Article 101874"},"PeriodicalIF":3.1,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145466448","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Parental loss of a child and psychosocial outcomes among middle-aged and older adults: Longitudinal national evidence from Thailand, 2015–2022","authors":"Pratana Satitvipawee ,&nbsp;Supa Pengpid ,&nbsp;Karl Peltzer ,&nbsp;Dararatt Anantanasuwong ,&nbsp;Wasin Kaewchankha","doi":"10.1016/j.ssmph.2025.101882","DOIUrl":"10.1016/j.ssmph.2025.101882","url":null,"abstract":"<div><h3>Objectives</h3><div>The aim of this study was to assess the longitudinal assocation between the onset of parental loss of a child and psychosocial health outcomes among middle-aged and older adults in Thailand from 2015 to 2022.</div></div><div><h3>Methods</h3><div>We used information from four waves of the Health, Aging, and Retirement in Thailand study. Overall, 1558 observations of parental loss of a child and 12,376 observations of parents without child death from four research assessments in 2015, 2017, 2020, and 2022 made up the pooled analytic sample. Among the total analytic sample, the average age was 68.7 years (SD = 11.9 years, ranging from 45 to 107 years). Established measures were used to assess child death, and psychosocial health status. Linear fixed-effects (FE) regressions were utilized to estimate the longitudinal assocation between the transition to parental loss of a child or children and depressive symptoms and subjective life expectancy.</div></div><div><h3>Results</h3><div>Linear FE regressions adjusted for potential confounders showed a positive association between the transition to child death, number of child loss and depressive symptoms in the entire sample, in both sexes, and in middle-aged and/or older adults. In age group stratified analysis, a negative association between the transition to child death, number of child loss and subjective life expectancy was found in the middle-aged group.</div></div><div><h3>Conclusions</h3><div>Parental loss of children were associated (with small effect sizes) with depressive symptoms among middle-aged and older adults and reduced subjective life expectancy among middle-aged adults in Thailand, showing its unique contributions (e.g., nationally representative longitudinal data from Thailand, filling an evidence gap in Southeast Asia). Policy and practice implications may include screening bereaved parents for depression, strengthening community or religious support, or developing tailored interventions.</div></div>","PeriodicalId":47780,"journal":{"name":"Ssm-Population Health","volume":"32 ","pages":"Article 101882"},"PeriodicalIF":3.1,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145519881","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Diffusion and division: A spatial analysis of surrogacy policy determinants in the United States","authors":"Jingjing Gao ,&nbsp;Muinat Abolore Idris ,&nbsp;Gabriela A. Gallegos ,&nbsp;Bryan Colby Griffin ,&nbsp;Sharon V. Munroe ,&nbsp;Jason H. Windett","doi":"10.1016/j.ssmph.2025.101876","DOIUrl":"10.1016/j.ssmph.2025.101876","url":null,"abstract":"<div><h3>Background</h3><div>Advancements in reproductive technologies have made surrogacy an increasingly attractive option for individuals and couples facing fertility challenges. In 2022, the global commercial surrogacy market was valued at approximately $14 billion, with the United States contributing a significant share due to its robust healthcare and legal infrastructure. However, surrogacy policy in the United States remains highly fragmented—some states have permissive legal frameworks, others prohibit surrogacy entirely, and many have no formal statutes. This study examines how states’ political ideology, religiosity, and socioeconomic factors influence the adoption of surrogacy policies across the United States.</div></div><div><h3>Methods</h3><div>We conducted a spatial analysis using data from the United States Census Bureau, World Population Review, and the United States Surrogacy Law Map. States were categorized based on the permissiveness of their surrogacy policies. Spatial lag regression model and ordered logistic regression models were employed to assess associations between policy status and independent variables, including religiosity, political affiliation, income, and racial demographics.</div></div><div><h3>Results</h3><div>Moran's I indicated significant positive spatial clustering of surrogacy law permissiveness across states (I = 0.206, p &lt; 0.05), suggesting geographic diffusion of policy environments. Spatial lag regression results showed that higher religiosity was associated with more restrictive policies, although this effect attenuated after adjusting for socioeconomic and political factors. Ordered logistic regression models confirmed these associations while explicitly accounting for the ordinal outcome structure: higher religiosity significantly decreased the odds of permissive policies (Model 1: β = −0.124, p &lt; 0.05), whereas racial diversity predicted greater policy permissiveness. In fully adjusted models, the percentage of White, Black, and Hispanic residents remained positive and significant predictors of permissive surrogacy laws, while religiosity trended negative but fell just short of statistical significance (p = 0.07).</div></div><div><h3>Conclusion</h3><div>This study demonstrates that a combination of religiosity, racial composition, and spatial proximity to like-minded states shapes state-level surrogacy policy in the United States. Higher religious adherence is linked to more restrictive policies, while a greater proportion of White residents correlates with increased permissiveness when broader structural factors are considered. The findings underscore the importance of accounting for sociopolitical and geographic context in reproductive policy analysis. To promote equitable access to assisted reproductive technologies, public health efforts and legal reforms must consider these underlying sociocultural and spatial dynamics.</div></div>","PeriodicalId":47780,"journal":{"name":"Ssm-Population Health","volume":"32 ","pages":"Article 101876"},"PeriodicalIF":3.1,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145466365","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Leading causes of death rankings among U.S. adolescents by race and ethnicity: A comparison of two classification schemes","authors":"Shu-Yu Tai ,&nbsp;Ying-Chen Chi ,&nbsp;Joh-Jong Huang ,&nbsp;Ying-Yeh Chen ,&nbsp;Ichiro Kawachi ,&nbsp;Tsung-Hsueh Lu","doi":"10.1016/j.ssmph.2025.101884","DOIUrl":"10.1016/j.ssmph.2025.101884","url":null,"abstract":"<div><div>The World Health Organization (WHO) classification scheme for leading causes of death (LCODs) provides greater granularity than the National Center for Health Statistics (NCHS) scheme by subdividing broad categories such as cancer, heart disease, and accidents into 17, 8, and 7 specific groups, respectively. This study compared LCOD rankings among U.S. adolescents aged 10–19 years across racial and ethnic groups using CDC WONDER mortality data. Across 48 sex–age–race/ethnicity–period strata, top-ranked causes differed between schemes in 31 strata. For example, policy priorities for non-Hispanic White boys aged 15–19 years would differ by classification: accidents ranked first under the NCHS scheme, whereas suicide or transportation accidents ranked highest under the WHO scheme. Substantial changes in ranks of top five LCODs across years were observed in some racial/ethnic groups. Among boys aged 10–14 years, transportation accidents rose from third in 2018–2019 to first in 2020–2021 and remained first in 2022–2023 among non-Hispanic Asians, while remaining consistently second among non-Hispanic Black and White boys and first among Hispanic boys. The WHO and NCHS schemes offer complementary LCOD profiles that can guide adolescent mortality surveillance and health policy decision-making.</div></div>","PeriodicalId":47780,"journal":{"name":"Ssm-Population Health","volume":"32 ","pages":"Article 101884"},"PeriodicalIF":3.1,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145579282","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}