Dataset Information

Longitudinal associations of neighborhood socioeconomic status with cardiovascular risk factors: A 46-year follow-up study.

ABSTRACT: OBJECTIVES:Neighborhood characteristics are increasingly recognized as important determinants of cardiovascular disease (CVD) risk. However, longitudinal studies on the health impacts of neighborhood characteristics are rare. We sought to investigate whether neighborhood socioeconomic status (NSES) during birth, childhood and adulthood is associated with CVD risk factors in adulthood. METHODS:Using longitudinal data from the New England Family Study (n?=?671) with 46-years of follow-up, participants' home addresses were geocoded at birth (mean age?=?1.6 months), childhood (mean age?=?7.1 years), and adulthood (mean age?=?44.2 years) across Massachusetts and Rhode Island in the US from 1961 to 2007. We used multilevel models to evaluate associations of NSES across the life-course with systolic blood pressure, diastolic blood pressure and body mass index (BMI) in adulthood, adjusting for age, sex, race/ethnicity, mother's race, individual SES, and parental SES. RESULTS:In fully adjusted models, one standard deviation higher NSES at birth was associated with a 1.9?mmHg lower SBP (95% CI: 3.8, -0.1) and 1.3?mmHg lower DBP (95%CI: 2.6,-0.03) in adulthood; while one standard deviation of higher NSES at adulthood was associated with 0.87?kg/m2 lower BMI (95%CI: 1.7, -0.1). CONCLUSIONS:We found that living in a socioeconomically disadvantaged neighborhood early in life and in adulthood was associated with blood pressure and BMI, respectively, two established risk factors for CVD. Our findings support a longitudinal association between exposure to socioeconomically disadvantaged neighborhoods in early life and CVD risk factors in adulthood.

SUBMITTER: Jimenez MP

PROVIDER: S-EPMC6913883 | biostudies-literature | 2019 Nov

REPOSITORIES: biostudies-literature

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Longitudinal associations of neighborhood socioeconomic status with cardiovascular risk factors: A 46-year follow-up study.

Jimenez Marcia P MP Wellenius Gregory A GA Subramanian S V SV Buka Stephen S Eaton Charles C Gilman Stephen E SE Loucks Eric B EB

Social science & medicine (1982) 20190925

<h4>Objectives</h4>Neighborhood characteristics are increasingly recognized as important determinants of cardiovascular disease (CVD) risk. However, longitudinal studies on the health impacts of neighborhood characteristics are rare. We sought to investigate whether neighborhood socioeconomic status (NSES) during birth, childhood and adulthood is associated with CVD risk factors in adulthood.<h4>Methods</h4>Using longitudinal data from the New England Family Study (n = 671) with 46-years of foll ...[more]

PMID: 31593787

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Project description:ObjectiveAs overall spread of obesity in populations is generally acknowledged to result from unhealthy lifestyles rather than individual genetic makeup, this study aimed to gain specific insights into its determinants through assessing the prevalent associations between individual socioeconomic status (SES) and weight loss in overweight and obese men and women.MethodsA prospective, 2-year follow-up study covered 3362 (38.0% men) respondents, aged 43-64 years, body mass index ≥25 kg/m2. Changes in body weight were estimated as a percentage of initial weight. Three categories of changes were defined: gained ≥3%, stable (gained <3% or lost <3%), lost ≥3%. Body weight loss was determined against three categories: lost ≥3 to <5%, lost ≥5 to <10%, lost ≥10%. Select SES variables (ie, gender, age, education, marital status, occupational activity and income) were determined in line with the Health Status Questionnaire. The associations between SES and body weight changes were analysed with the aid of logistic regression models. The results were presented as ORs with 95% CIs.ResultsOnly 18% of the respondents had complied with the medical recommendations on weight loss. Significant differences were encountered between the gender, age and occupational activity variables and the weight loss one. Multifactorial models were used to determine the following gender-specific associations between SES and weight loss. Men with moderate income had significantly higher odds for weight loss (≈75%), as compared with the higher earners, whereas women with low income, occupationally inactive, had significantly higher odds (≈30% and ≈50%, respectively), as compared with the high earners and occupationally active ones.ConclusionsLower education, male gender, lower income per household, older age and unemployment status were the established factors predisposing to obesity. While aiming to ensure effectiveness of the measures specifically aimed at preventing obesity, population groups deemed most at risk of potential weight gain must prior be identified.

Project description:BackgroundLong-term fine particulate matter (PM2.5) exposure is linked with cardiovascular disease, and disadvantaged status may increase susceptibility to air pollution-related health effects. In addition, there are concerns that this association may be partially explained by confounding by socioeconomic status (SES).ObjectivesWe examined the roles that individual- and neighborhood-level SES (NSES) play in the association between PM2.5 exposure and cardiovascular disease.MethodsThe study population comprised 51,754 postmenopausal women from the Women's Health Initiative Observational Study. PM2.5 concentrations were predicted at participant residences using fine-scale regionalized universal kriging models. We assessed individual-level SES and NSES (Census-tract level) across several SES domains including education, occupation, and income/wealth, as well as through an NSES score, which captures several important dimensions of SES. Cox proportional-hazards regression adjusted for SES factors and other covariates to determine the risk of a first cardiovascular event.ResultsA 5 ?g/m3 higher exposure to PM2.5 was associated with a 13% increased risk of cardiovascular event [hazard ratio (HR) 1.13; 95% confidence interval (CI): 1.02, 1.26]. Adjustment for SES factors did not meaningfully affect the risk estimate. Higher risk estimates were observed among participants living in low-SES neighborhoods. The most and least disadvantaged quartiles of the NSES score had HRs of 1.39 (95% CI: 1.21, 1.61) and 0.90 (95% CI: 0.72, 1.07), respectively.ConclusionsWomen with lower NSES may be more susceptible to air pollution-related health effects. The association between air pollution and cardiovascular disease was not explained by confounding from individual-level SES or NSES. Citation: Chi GC, Hajat A, Bird CE, Cullen MR, Griffin BA, Miller KA, Shih RA, Stefanick ML, Vedal S, Whitsel EA, Kaufman JD. 2016. Individual and neighborhood socioeconomic status and the association between air pollution and cardiovascular disease. Environ Health Perspect 124:1840-1847;?http://dx.doi.org/10.1289/EHP199.

Project description:BACKGROUND:It remains unclear how life course socioeconomic position (SEP) variations impact later smoking status. We aimed to investigate the associations using a novel methodology - a structured regression framework and to explore the potential underlying mechanisms. METHODS:Data were from an Australian national cohort (n?=?1489). SEP was measured in childhood (aged 7-15?years), young- (aged 26-36?years) and mid-adulthood (aged 31-41?years), including highest parental occupation in childhood and self-occupation in young- and mid-adulthood. Smoking status was self-reported in mid-adulthood. Four smoking-related variables in childhood including exposure to parental smoking, smoking experimentation, self-rated importance to be a non-smoker and intention to smoke were tested as potential mediators. A structured life course modelling approach was used to select the best-fit life course model(s). The log multinomial model was used to estimate the smoking risk in mid-adulthood with never smokers as the excluded category. RESULTS:63.6% of participants were classified as stable non-manual occupation across the life course from childhood. The sensitive period and the accumulation model described the data equally as well as the saturated model. In the sensitive period model, compared to the non-manual group, those who had highest parental occupation of manual had a 21% lower risk of being former smokers and a 32% greater risk of being current smokers in mid-adulthood, and those who were occupied manually in mid-adulthood reported a 55% greater risk of being current smokers in mid-adulthood. In the accumulation model, compared to those who consistently reported non-manual occupations across the life course, those with manual occupations for longer had higher risk of being current smokers in mid-adulthood, with a 43% risk increase per time point in a manual occupation. Exposure to parental smoking and intention to smoke during childhood explained up to 40.2% of the excess risk of being current smokers in mid-adulthood associated with manual occupations in the sensitive period and the accumulation model. CONCLUSIONS:Childhood, young- and mid-adulthood are all important, but SEP in childhood and mid-adulthood may be of more importance in determining mid-adulthood smoking status. Exposure to parental smoking and intention to smoke in childhood seems to moderately mediate the associations.

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Dataset Information

Longitudinal associations of neighborhood socioeconomic status with cardiovascular risk factors: A 46-year follow-up study.

Publications

Longitudinal associations of neighborhood socioeconomic status with cardiovascular risk factors: A 46-year follow-up study.

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