Ssm-Population Health最新文献

{"title":"Music in healthcare: Investigating music preferences for pain management across twenty countries","authors":"Antonia S. Becker ,&nbsp;Emy S. van der Valk Bouman ,&nbsp;Julian Schaap ,&nbsp;Markus Klimek ,&nbsp;Joost Oude Groeniger","doi":"10.1016/j.ssmph.2025.101758","DOIUrl":"10.1016/j.ssmph.2025.101758","url":null,"abstract":"<div><div>Music is increasingly investigated in healthcare to manage pain, anxiety and stress. Previous studies have demonstrated that listening to (preferred) music is effective for pain relief, but rarely explore whether people are open to instrumentalizing music in healthcare. Therefore, this study investigates 1) to what extent people across twenty countries are willing to listen to music when experiencing pain in healthcare, and 2) which music genres they choose, in light of their national context, background characteristics, and overall music preferences. In addition, we investigate the universality of the so-called ‘Mozart effect’, which describes the belief that classical music is superior in healthcare, despite research suggesting that favorite music, irrespective of genre, is most effective. To answer these questions, we use data from the International Federation of the Phonographic Industry's international survey (2023), which includes twenty countries and 33,629 participants. In total, a large majority (86.5%) wants to listen to music when experiencing pain in healthcare. Although participants predominantly select music in line with their favorite music genres (73.1%), a smaller trend toward selecting classical music – in line with the ‘Mozart effect’ – is observed. Among those who prefer to listen to a music genre that they did not list as their favorite, classical music is predominantly chosen (43.3%). Furthermore, there are notable differences between national populations and across social groups in terms of preference for music when experiencing pain. These insights can be crucial for implementing music in healthcare worldwide, emphasizing the need for a culturally sensitive and personalized approach.</div></div>","PeriodicalId":47780,"journal":{"name":"Ssm-Population Health","volume":"29 ","pages":"Article 101758"},"PeriodicalIF":3.6,"publicationDate":"2025-01-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143180444","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Social connections with family and friends in adolescence: Shaping body mass index trajectories into adulthood","authors":"Katie S. Taylor ,&nbsp;Harry Tattan-Birch ,&nbsp;Martin N. Danka ,&nbsp;Liam Wright ,&nbsp;Eleonora Iob ,&nbsp;Daisy Fancourt ,&nbsp;Yvonne Kelly","doi":"10.1016/j.ssmph.2025.101756","DOIUrl":"10.1016/j.ssmph.2025.101756","url":null,"abstract":"<div><h3>Objectives</h3><div>To investigate whether adolescent social connections influence body mass index (BMI) trajectories into adulthood and explore whether associations are moderated by gender, ethnicity or age.</div></div><div><h3>Methods</h3><div>Data came from 17,719 American adolescents in grades 7–12 at baseline (1994–95) from the National Longitudinal Study of Adolescent to Adult Health. Growth curve models tested associations between baseline social connections and BMI trajectories from waves II-V including interactions for gender, ethnicity and age.</div></div><div><h3>Results</h3><div>Stronger peer connections were associated with flatter BMI trajectories. For example, BMI for those with high peer contact was 0.79 kg/m² lower [95% CI -1.20, −0.38] 22 years after baseline, compared to those with low contact. Stronger family connections were associated with steeper trajectories. For example, BMI for those with high family contact was 0.52 kg/m² higher [95% CI 0.01, 1.02] 22 years after baseline, compared to those with low contact.</div></div><div><h3>Discussion</h3><div>Among adolescents, stronger peer connections were associated with flatter BMI trajectories and stronger family connections with steeper trajectories. Promotion of peer-based interventions could be explored as a strategy to promote healthy weight trajectories.</div></div>","PeriodicalId":47780,"journal":{"name":"Ssm-Population Health","volume":"29 ","pages":"Article 101756"},"PeriodicalIF":3.6,"publicationDate":"2025-01-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11787614/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143081755","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Changes in socioeconomic inequality in self-assessed health in South Africa: The contributions of changes in inequalities between and within socioeconomic groups","authors":"John E. Ataguba","doi":"10.1016/j.ssmph.2025.101755","DOIUrl":"10.1016/j.ssmph.2025.101755","url":null,"abstract":"<div><div>Globally, poor health is associated with lower socioeconomic status (i.e., the gradient). While significant socio-demographic drivers of socioeconomic inequalities have been documented in South Africa, little is known about changes in socioeconomic inequalities in health between and within socioeconomic groups, an essential consideration for closing the gaps between socioeconomic groups. This paper assesses changes in health inequalities in South Africa, using self-assessed health (SAH) to uncover the relative contributions of inequalities between and within socioeconomic groups to changes in socioeconomic inequalities in SAH. It uses data from five waves (2008, 2010/11, 2012, 2014/15, and 2017) of South Africa's nationally representative National Income Dynamics Study (NIDS) as cross-sectional with a final sample size ranging between 13,732 and 21,303 adults (&gt;18 years). Based on five categories, SAH was recategorised and dichotomised as “good health” with SAH = 1. Socioeconomic status and quintiles were based on per capita household expenditure. The standard concentration index measured socioeconomic inequality in SAH. A recent methodology decomposes changes in the concentration index of SAH into changes in inequality within and between socioeconomic groups. A pro-poor shift or change is when socioeconomic inequality in health (including for between- and within-socioeconomic groups) reduces between two time periods, while an increase in inequalities means a pro-rich shift or change. The results show a significant pro-rich gradient in SAH among adults in South Africa (concentration index ranging between 0.0053 and 0.0327), with good health reported more by relatively wealthier adults than their more socioeconomically deprived counterparts. This pro-rich gradient declined overall between 2008 and 2017 (a pro-poor shift), associated mainly (between 96% and 100%) with reduced inequalities between socioeconomic groups, i.e., closing gaps between socioeconomic groups. Addressing health inequalities in South Africa requires a multisectoral approach prioritising socioeconomically deprived individuals and policy to reduce health disparities between groups that leave no one behind.</div></div>","PeriodicalId":47780,"journal":{"name":"Ssm-Population Health","volume":"29 ","pages":"Article 101755"},"PeriodicalIF":3.6,"publicationDate":"2025-01-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143180446","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Transit bus access to healthy, affordable food: A novel geographic information system (GIS) and community-informed analysis","authors":"Ric Bayly ,&nbsp;Jennifer Pustz ,&nbsp;Thomas J. Stopka ,&nbsp;Jay Metzger ,&nbsp;Mary C. Waters","doi":"10.1016/j.ssmph.2025.101753","DOIUrl":"10.1016/j.ssmph.2025.101753","url":null,"abstract":"<div><div>Good nutrition reduces the risk of chronic disease, but many vulnerable populations do not have equitable access to healthy food. People who are lower-income, non-White, older, or disabled, have increased likelihood of not owning a vehicle and of being dependent on public buses to source healthy, affordable food. Our study took place in three municipalities targeted by the Rhode Island Department of Health for equity-focused interventions. Our methodology aimed to overcome limitations of prior analyses of public transit food access. We determined healthy food sources, stratifying their affordability with market basket pricing data and community input. Using a geographic information system (GIS), we identified the transit bus service areas of the sources. Our novel approach included employing a fixed bus wait time, determining bus travel times based on schedule combined with historical data, and determining acceptable travel times through a community leader survey. We analyzed access by subgroups including those experiencing poverty, older adults, those without cars, and those with disabilities. We found that 45% of the population in the most urban municipality had bus access to discounted healthy food, and no one in the two less urban municipalities did. Bus access to six food pantries was limited to 15%–28% of the population. Our approach, combining spatial analysis informed by surveys and community input, can increase the ease and accuracy of analyzing bus access to healthy, affordable food and is replicable in other regions and extensible to other types of destinations and services and to rail transit.</div></div>","PeriodicalId":47780,"journal":{"name":"Ssm-Population Health","volume":"29 ","pages":"Article 101753"},"PeriodicalIF":3.6,"publicationDate":"2025-01-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11787688/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143081767","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Competing demands on adult children: How do they shape their provision of informal care?","authors":"Edward Pomeroy ,&nbsp;Francesca Fiori","doi":"10.1016/j.ssmph.2025.101754","DOIUrl":"10.1016/j.ssmph.2025.101754","url":null,"abstract":"<div><div>Population ageing is increasing the demand for informal care, heightening the importance of adult children as potential carers to their older parents. Adult children, however, may be subject to competing demands for informal care provision when individual characteristics, such as gender and employment status, combine with household level characteristics, such as the presence of young children or vulnerable family members. Previous research often considers these competing demands as separate factors which can influence the provision of informal care, rather than in combination. Therefore, this study exploits data from Wave 13 (2021–2023) of the UK Household Longitudinal Study and applies multicategorical multilevel analysis of individual heterogeneity and discriminatory accuracy (MAIHDA) to assess the additive and interactive role of competing demands in influencing the provision of informal care. The results indicate that the provision of informal care is driven by the additive influence of the competing demands. Moreover, they also reveal the layering of certain social characteristics, which cumulate, rather than intersect, to create a social profile with a notably higher predicted probability of providing informal care.</div></div>","PeriodicalId":47780,"journal":{"name":"Ssm-Population Health","volume":"29 ","pages":"Article 101754"},"PeriodicalIF":3.6,"publicationDate":"2025-01-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143180445","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"What role does wealth play in the racial health gap in the United States? Examining differences among African Americans, Latinos, and non-Hispanic Whites","authors":"Daniel F. López-Cevallos ,&nbsp;David W. Rothwell","doi":"10.1016/j.ssmph.2025.101752","DOIUrl":"10.1016/j.ssmph.2025.101752","url":null,"abstract":"<div><div>Wealth resources has received little attention when studying how socioeconomic status shapes health outcomes. In the United States (USA), there is a growing body of evidence acknowledging a widening racial/ethnic wealth gap. However, little is known about wealth's role in shaping health inequity. Hence, our study examined the role wealth plays in the racial health gap across and within three racial/ethnic groups (African Americans – AA; Latinos –L; non-Hispanic Whites – NHW). We used nine waves of the nationally representative Survey of Consumer Finances (1995–2019). Trends over time were estimated with survey-weighted descriptive statistics. A series of linear probability regression models predicted fair/poor health based on overall and within-group wealth position, along with sociodemographic variables. Regression models revealed that both overall and within-racial-group wealth position matter when examining health outcomes. In fully adjusted models, racial health gaps practically disappeared for overall wealth position. While overall wealth position moderates the race-health path similarly for AA and NHW, the probability of fair/poof health for high-wealth Latinos is the same as medium-wealth AA and NHW. When considering within-group wealth position, AA and L have similar levels of fair/poor health (and significantly higher than NHW). Moreover, within-NHW wealth position matters for health at each level of wealth, while within-AA and within-L improvements are only evident at the high-wealth level. Our study provides evidence that wealth shapes health inequities differently when considering the overall wealth and within-racial group wealth. Policies to reduce wealth-health gaps should consider low and middle-wealth AA, L, and NHW.</div></div>","PeriodicalId":47780,"journal":{"name":"Ssm-Population Health","volume":"29 ","pages":"Article 101752"},"PeriodicalIF":3.6,"publicationDate":"2025-01-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11770555/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143053971","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Technology for sustainable living: The impact of digital inclusion on the health of China's elderly living alone","authors":"Yong Yan ,&nbsp;Huixia Xing","doi":"10.1016/j.ssmph.2025.101751","DOIUrl":"10.1016/j.ssmph.2025.101751","url":null,"abstract":"<div><div>Enhancing elderly health has become an important measure for coping with population ageing and building a healthy China. Among them, older adults living alone seem to suffer from greater loneliness and psychological stress. We analyzed data from the China Health and Retirement Longitudinal Study in 2015, 2018, and 2020, and carried out an empirical investigation into the impact of digital inclusion on the health of elderly individuals living alone, using two-way fixed effects models and two-stage least squares. The findings suggest that digital inclusion could positively impact the health of older people living alone. Specifically, for a one-standard-deviation increase in digital inclusion, the depression scale score decreases by 0.48 (α = −0.21, p &lt; 0.01); the cognitive function score increases by 0.27(α = 0.12, p &lt; 0.01); the instrumental activities of daily living score would decrease by 0.11 (α = −0.05, p &lt; 0.01). An increase of 1 in the digital inclusion score decreases the self-rated health score by 0.02 (α = −0.02, p &lt; 0.01). It can significantly enhance the health status of elderly people who live alone through mechanisms of improving life satisfaction, increasing the utilization of preventive health care services, and promoting social participation. Subsequent analyses identified varying effects of digital inclusion on older adults living alone, influenced by their income and education levels. In particular, digital inclusion substantially enhanced instrument activities of daily living among the aged who lived alone and with higher income and educational backgrounds. However it had no significant effect on older people living alone with lower incomes and educational backgrounds. The insights from this study could be invaluable for policymakers in promoting broader adoption of digital technologies among older adults living alone.</div></div>","PeriodicalId":47780,"journal":{"name":"Ssm-Population Health","volume":"29 ","pages":"Article 101751"},"PeriodicalIF":3.6,"publicationDate":"2025-01-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11780947/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143068897","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Data impacts of changes in U.S. Census Bureau procedures for race and ethnicity data","authors":"Elizabeth Arias ,&nbsp;Carolyn A. Liebler ,&nbsp;Marc A. Garcia ,&nbsp;Rogelio Sáenz","doi":"10.1016/j.ssmph.2024.101742","DOIUrl":"10.1016/j.ssmph.2024.101742","url":null,"abstract":"<div><div>Beginning with the 2020 decennial census and the 2020 American Community Survey (ACS), the U.S. Census Bureau implemented changes in question design, data processing, and coding procedures for the race and ethnicity data they collect that appear to have resulted in major data discontinuity. However, the Census Bureau has not released nor plans to release research showing the impact of these changes. We explore the impact of the Census Bureau's procedural changes on the racial and ethnic distributions of the Hispanic (generally and by country of origin) and the American Indian and Alaska Native populations, the two populations most impacted by these changes. We use the 2019 and 2021 one-year ACS public-use microdata and 2019 and 2021 NCHS mortality data to compare racial distributions and estimate and compare select demographic and socioeconomic characteristics, and mortality measures across the two years. Our results show that changes the Census Bureau implemented beginning with the 2020 decennial census and ACS appear to have had a significant impact on the comparability of Census Bureau race and ethnicity data. We find a significant data discontinuity impacting a wide variety of demographic, socioeconomic, and mortality statistics and analyses that rely on U.S. Census Bureau data as input for calculations. To mitigate these effects, methods that bridge race and ethnicity data between pre- and post-2020 census data are needed. Our research brings new attention and clarity to the race and ethnicity data discontinuity in Census Bureau data that started in 2020.</div></div>","PeriodicalId":47780,"journal":{"name":"Ssm-Population Health","volume":"29 ","pages":"Article 101742"},"PeriodicalIF":3.6,"publicationDate":"2025-01-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11783112/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143081754","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Intergenerational mobility, race, and allostatic load: Diminished health returns for Black older adults?","authors":"Mallory J. Bell ,&nbsp;Kenneth F. Ferraro","doi":"10.1016/j.ssmph.2025.101750","DOIUrl":"10.1016/j.ssmph.2025.101750","url":null,"abstract":"<div><div>Although socioeconomic status is salient for health and well-being across the life course, previous research indicates that the social gradient in health is racialized and that Black adults experience diminishing health returns on higher socioeconomic status. We extend this literature by examining whether there are diminishing physiological health returns on intergenerational mobility groups for Black adults and, if so, whether diminishing health returns vary across age. We use six waves of data from the Health and Retirement Study (N = 11,846) and mixed effects models; and average marginal effects are used to interpret the race by intergenerational mobility interaction. We found evidence of racial disparities in allostatic load and that Black respondents with stable high socioeconomic status experienced diminished health returns that did not vary across age. Future research is needed to undercover practices and policies to ameliorate diminishing health returns for Black adults.</div></div>","PeriodicalId":47780,"journal":{"name":"Ssm-Population Health","volume":"29 ","pages":"Article 101750"},"PeriodicalIF":3.6,"publicationDate":"2025-01-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11770483/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143053968","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Association between family economic decision-making power and survival outcomes among older adults in China: A population-based longitudinal study","authors":"Liyong Lu ,&nbsp;Ting Chen ,&nbsp;Sicheng Li ,&nbsp;Tianjiao Lan","doi":"10.1016/j.ssmph.2025.101749","DOIUrl":"10.1016/j.ssmph.2025.101749","url":null,"abstract":"<div><h3>Objective</h3><div>This study examines the association between family economic decision-making power and survival outcomes among older adults.</div></div><div><h3>Methods</h3><div>Data were drawn from the China Longitudinal Healthy Longevity Survey (CLHLS) from 2005 to 2018. Family economic decision-making power was assessed based on participants’ self-reported influence over household financial matters, categorized as: “making decisions on almost all household expenditures”, “deciding on non-essential spending”, “only deciding on personal expenditures”, and “having no decision-making power over household spending”. Survival status and date of death were determined through interviews with close family members during each survey round. Cox proportional hazards regression models were used to analyze the relationship between family economic decision-making authority and survival outcomes among older adults using longitudinal follow-up data. Subgroup analyses were conducted to identify vulnerable populations.</div></div><div><h3>Results</h3><div>The study included 10,443 older adults, of whom 5606 (53.68%) died during the follow-up period, with a median survival time of 7 years. Compared to those with full decision-making authority, the hazard ratios (95% CI) were 1.02 (0.87–1.20) for those with authority over non-essential spending, 1.22 (1.07–1.38) for those with authority over personal spending, and 1.24 (1.04–1.47) for those with no decision-making power. The impact of low decision-making authority on survival was modified by factors such as gender, occupation before age 60, household economic status, experience of child loss, and physical labor.</div></div><div><h3>Conclusions</h3><div>Low family economic decision-making power is associated with an increased risk of mortality. Promoting active participation in financial decisions may enhance health outcomes. However, the study is limited by its focus on Chinese data, challenges in establishing causal relationships, and the measurement of decision-making power at a single point in time.</div></div>","PeriodicalId":47780,"journal":{"name":"Ssm-Population Health","volume":"29 ","pages":"Article 101749"},"PeriodicalIF":3.6,"publicationDate":"2025-01-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11780127/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143068834","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}