Dataset Information

Early-Life Socioeconomic Disadvantage and Metabolic Health Disparities.

ABSTRACT: OBJECTIVE:A quarter of the world's population have metabolic syndrome (MetS). MetS prevalence is stratified by socioeconomic status (SES), such that low SES is associated with higher MetS risk. The present study examined the relative roles of early-life SES and current SES in explaining MetS risk. METHODS:Participants (N = 354; ages = 15-55 years, M [SD] = 36.5 [10.7] years; 55% female; 72.9% white, 16.9% Asian, 10.2% others) were evaluated for SES and MetS. All were in good health, defined as free of chronic medical illness and acute infectious disease. Using occupational status as a proxy for SES, we recruited roughly equal numbers of participants with low-low, low-high, high-low, and high-high combinations of early-life and current SES. We used the International Diabetes Federation definition for MetS using race- and sex-specific cutoffs for waist circumference, triglyceride levels, high-density lipoprotein cholesterol, blood pressure, and glycosylated hemoglobin levels. RESULTS:Analyses revealed a main effect of low early-life SES on increased MetS risk according to the three separate definitions. They included the traditional MetS diagnosis (odds ratio [OR] = 1.53, confidence interval [CI] = 1.01-2.33, p = .044), the number of MetS components for which diagnostic thresholds were met (OR = 1.61, CI = 1.10-2.38, p = .015), and a continuous indicator of metabolic risk based on factor analysis (F(1,350) = 6.71, p = .010, partial ? = .019). There was also a significant interaction of early-life SES and current SES in predicting MetS diagnosis (OR = 1.54, CI = 1.02-2.34). The main effects of current SES were nonsignificant in all analyses. CONCLUSIONS:These findings suggest that MetS health disparities originate in childhood, which may be an opportune period for interventions.

SUBMITTER: Hostinar CE

PROVIDER: S-EPMC5453844 | biostudies-literature | 2017 Jun

REPOSITORIES: biostudies-literature

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Early-Life Socioeconomic Disadvantage and Metabolic Health Disparities.

Hostinar Camelia E CE Ross Kharah M KM Chen Edith E Miller Gregory E GE

Psychosomatic medicine 20170601 5

<h4>Objective</h4>A quarter of the world's population have metabolic syndrome (MetS). MetS prevalence is stratified by socioeconomic status (SES), such that low SES is associated with higher MetS risk. The present study examined the relative roles of early-life SES and current SES in explaining MetS risk.<h4>Methods</h4>Participants (N = 354; ages = 15-55 years, M [SD] = 36.5 [10.7] years; 55% female; 72.9% white, 16.9% Asian, 10.2% others) were evaluated for SES and MetS. All were in good healt ...[more]

PMID: 28178032

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Project description:ImportanceThere are consistent data demonstrating that socioeconomic disadvantage is associated with risk of premature mortality, but research on the relationship between neighborhood socioeconomic factors and premature mortality is limited. Most studies evaluating the association between neighborhood socioeconomic status (SES) and mortality have used a single assessment of SES during middle to older adulthood, thereby not considering the contribution of early life neighborhood SES.ObjectiveTo investigate the association of life course neighborhood SES and premature mortality.Design, setting, and participantsThis cohort study included Black and White participants of the multicenter Atherosclerosis Risk in Communities Study, a multicenter study conducted in 4 US communities: Washington County, Maryland; Forsyth County, North Carolina; Jackson, Mississippi; and the northwestern suburbs of Minneapolis, Minnesota. Participants were followed up for a mean (SD) of 18.8 (5.7) years (1996-2020). Statistical analysis was performed from March 2023 through May 2024.ExposureParticipants' residential addresses during childhood, young adulthood, and middle adulthood were linked with US Census-based socioeconomic indicators to create summary neighborhood SES scores for each of these life epochs. Neighborhood SES scores were categorized into distribution-based tertiles.Main outcomes and measuresPremature death was defined as all-cause mortality occurring before age 75 years. Multivariable-adjusted Cox proportional hazards models were used to estimate hazard ratios (HRs) and 95% CIs.ResultsAmong 12 610 study participants, the mean (SD) age at baseline was 62.6 (5.6) years; 3181 (25.2%) were Black and 9429 (74.8%) were White; and 7222 (57.3%) were women. The lowest, compared with the highest tertile, of neighborhood SES score in middle adulthood was associated with higher risk of premature mortality (HR, 1.28; 95% CI, 1.07-1.54). Similar associations were observed for neighborhood SES in young adulthood among women (HR, 1.25; 95% CI, 1.00-1.56) and neighborhood SES in childhood among White participants (HR, 1.25; 95% CI, 1.01-1.56). Participants whose neighborhood SES remained low from young to middle adulthood had an increased premature mortality risk compared with those whose neighborhood SES remained high (HR, 1.25; 95% CI, 1.05-1.49).Conclusions and relevanceIn this study, low neighborhood SES was associated with premature mortality. The risk of premature mortality was greatest among individuals experiencing persistently low neighborhood SES from young to middle adulthood. Place-based interventions that target neighborhood social determinants of health should be designed from a life course perspective that accounts for early-life socioeconomic inequality.

Project description:Importance:Understanding emerging patterns of smoking disparities among disadvantaged populations can guide tobacco control policy. Objective:To estimate disparities in smoking prevalence associated with the number of socioeconomic and health-related disadvantages faced by a population among US adults from 2008 to 2017. Design, Setting, and Participants:Nationally representative cross-sectional annual household-based probability sample of US noninstitutionalized residents. Polytomous regression estimated associations of disadvantage variables, survey year, and their interaction with the following 3 pairwise contrasts: current vs never smoking (estimate of overall disparities), current vs former smoking (unique contribution of disparities in smoking cessation), and former vs never smoking (unique contribution of disparities in smoking initiation). The setting was in-home face-to-face interviews. Participants were respondents in 2008 to 2017 survey years who were aged 25 years or older (N?=?279 559). Exposures:Self-reported past-year unemployment, income below the federal poverty line, absence of high school diploma, disability/limitation interfering with daily functions, serious psychological distress on the Kessler 6-item screen, and at least 60 past-year heavy drinking days, each coded yes or no. These indicators were summed in a cumulative disadvantage index (0, 1, 2, 3, 4, or 5 or 6). Main Outcomes and Measures:Self-reported current, former (ever smoked ?100 cigarettes, had since quit, and not currently smoking), and never (<100 cigarettes) smoking. Results:Among 278 048 respondents (mean [SD] age, 51.9 [16.8] years; 55.7% female) with data on smoking history (99.5% of the sample), the mean current smoking prevalence across 2008 to 2017 compared with populations without disadvantages was successively higher among populations with 1 disadvantage (21.4% vs 13.8%; current vs never smoking adjusted odds ratio [OR], 2.34; 95% CI, 2.27-2.43), 2 disadvantages (26.6% vs 13.8%; OR, 3.55; 95% CI, 3.39-3.72), 3 disadvantages (35.1% vs 13.8%; OR, 5.35; 95% CI, 5.05-5.66), 4 disadvantages (45.7% vs 13.8%; OR, 8.59; 95% CI, 7.91-9.34), or 5 or 6 disadvantages (58.2% vs 13.8%; OR, 14.70; 95% CI, 12.30-17.50). In current vs former and former vs never smoking status contrasts, ORs were lower but also showed successively greater associations with increasing cumulative disadvantage. Current (vs never) smoking odds significantly declined each year among populations with 0 (OR, 0.95; 95% CI, 0.94-0.96), 1 (OR, 0.96; 95% CI, 0.95-0.97), or 2 (OR, 0.98; 95% CI, 0.97-0.99) disadvantages but did not change across 2008 to 2017 among those with 3 or more disadvantages. Conclusions and Relevance:Results of this study demonstrate that US disparities in smoking prevalence from 2008 to 2017 were successively larger with each additional disadvantage faced, were expressed in higher smoking initiation odds and lower smoking cessation odds, and widened over time.

Project description:ObjectivesEarly-life adversities (ELAs) such as child maltreatment (neglect and abuse) and socioeconomic disadvantage have been associated with adult mortality. However, evidence is sparse for specific types of ELA. We aimed to establish whether specific ELAs (ie, different types of child maltreatment and socioeconomic disadvantage) were associated independently with all-cause mortality in mid-adulthood and to examine potential intermediary pathways.DesignProspective cohort study.Setting1958 British birth cohort: a longitudinal, population-based sample of individuals born in Great Britain during a single week in March 1958.Participants9310 males and females with data on child maltreatment and mortality (44/45-58 years).Outcome measuresMortality follow-up from 2002/2003 to 2016 when participants were aged 44/45-58 years. Death was ascertained via the NHS Central Register (N=296) or cohort maintenance activities (N=16).ResultsPrevalence of ELAs ranged from 1.6% (sexual abuse) to 11% (psychological abuse). Several, but not all, ELAs were associated with increased risk of premature death, independent of covariates and other adversities; adjusted HRs were 2.64 (95% CI 1.52 to 4.59) for sexual abuse, 1.93 (95% CI 1.45 to 2.58) for socioeconomic disadvantage, 1.73 (95% CI 1.11 to 2.71) for physical abuse and 1.43 (95% CI 1.03 to 1.98) for neglect. After adjustment for covariates and other adversities, no associations with mortality were observed for psychological and witnessing abuse. Regarding potential intermediaries (including adult socioeconomic factors, behaviours, adiposity, mental health and cardiometabolic markers), most associations attenuated after accounting for adult health behaviours (particularly smoking). In addition, early-life socioeconomic disadvantage and neglect associations attenuated after accounting for adult socioeconomic factors. The association for sexual abuse and premature mortality was largely unaffected by potential intermediaries.ConclusionsAssociations with premature mortality varied by type of ELA: associations for sexual and physical abuse, neglect and socioeconomic disadvantage were independent of each other. Different types of ELAs could influence premature mortality via different pathways; this requires further research.

Dataset Information

Early-Life Socioeconomic Disadvantage and Metabolic Health Disparities.

Publications

Early-Life Socioeconomic Disadvantage and Metabolic Health Disparities.

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