Dataset Information

Neighbourhood socioeconomic disadvantage, risk factors, and diabetes from childhood to middle age in the Young Finns Study: a cohort study.

ABSTRACT:

Background

Neighbourhood socioeconomic disadvantage has been linked to increased diabetes risk, but little is known about differences in risk factors in childhood and adulthood in those with high and low neighbourhood socioeconomic disadvantage, or about the association between long-term neighbourhood socioeconomic disadvantage and incidence of diabetes in adulthood. We used data from the prospective, population-based Young Finns Study to address these questions.

Methods

We did a nationwide population-based cohort study in Finland using data from The Young Finns Study, which included 3467 participants aged 6-18 years followed up for over 30 years via eight repeated biomedical examinations and linkage to electronic health records. Participants were also linked to national grid data on neighbourhood disadvantage via their residential address from age 6-48 years. We used these data to examine differences in ten risk factors (dietary habits, physical activity, daily smoking, body-mass index, systolic blood pressure, fasting HDL cholesterol, fasting triglycerides, fasting plasma glucose, fasting serum insulin, and homoeostasis model assessment insulin sensitivity) from childhood (6-21 years) to adulthood (22-48 years) among individuals with high (>0·5 SD above the national mean) and low (≥0·5 SD below the national mean) neighbourhood socioeconomic disadvantage, and the association of cumulative neighbourhood socioeconomic disadvantage with six cardiometabolic risk factors (obesity, high waist circumference, fatty liver, hypertension, carotid plaque, and left ventricle mass index) and diabetes by middle age (22-48 years). We used logistic and linear regression analyses to assess the effects of neighbourhood disadvantage on cardiometabolic and diabetes risk, controlling for potential confounders (age, sex, and individual socioeconomic disadvantage).

Findings

We included data for 3002 individuals with risk factor assessment in childhood and adulthood. Of whom, 2048 underwent a clinical examination during the last follow-up at age 33-48 years. Differences in risk factors by neighbourhood socioeconomic disadvantage at the beginning of follow-up were small, but large differences emerged over the follow-up. High neighbourhood socioeconomic disadvantage was characterised by decreased fruit and vegetable intake as early as age 6 years, decreased physical activity, and increased prevalence of daily smoking from adolescence (12 years) onwards, and decreased homoeostasis model assessment insulin sensitivity and increased fasting glucose and insulin concentration from early adulthood (27 years; all p<0·03). Individuals consistently exposed to high neighbourhood socioeconomic disadvantage were more likely to be obese (odds ratio [OR] 1·44, 95% CI 1·01-2·06), hypertensive (1·83, 1·14-2·93), have a fatty liver (1·73, 1·11-2·71), and diabetes (3·71, 1·77-7·75), compared with those who were consistently exposed to low neighbourhood socioeconomic disadvantage.

Interpretation

Living in socioeconomically disadvantaged areas can shape health in childhood and adulthood. Neighbourhood socioeconomic disadvantage is associated with differences in health risks across the life course, including detrimental lifestyle factors from childhood and adolescence onwards and worse glucose metabolism from early adulthood. By middle age, cumulative neighbourhood socioeconomic disadvantage is associated with increased cardiometabolic risk factors and increased incidence of diabetes.

Funding

Academy of Finland, NordForsk, UK Medical Research Council, European Commission, and European Research Council.

SUBMITTER: Kivimaki M

PROVIDER: S-EPMC6079015 | biostudies-literature |

REPOSITORIES: biostudies-literature

ACCESS DATA

Similar Datasets

Project description:Background Chronological aging-associated changes in the human DNA methylome are studied by multiple epigenome-wide association studies (EWAS); however, the aging-associated DNAmet changes identified among different age groups and tissues vary and especially the rates of aging-associated alterations in the epigenome during adulthood remain unclear. Here, we further explore and characterize CpG-sites where DNA methylation levels alter at a constant rate during adulthood and are also independent of blood cell type heterogeneity. Results In the study, we observed 1,202 aging-associated CpG-sites (a-CpGs), of which 48% were hypermethylated with advancing age in whole blood with an especially narrow age range (40 - 49 years). Repeatedly reported a-CpGs in ELOVL2, FHL2, PENK and KLF14 were also identified. Regions with aging-associated hypermethylation were enriched to several gene ontology terms (especially on the cluster of developmental processes), while hypomethylated sites showed no enrichment. The genes with a higher number of a-CpG hits were more often hypermethylated. Of the 1,202 aging-associated CpG-sites in the present study, 987 were identified in previous study (Vitality 90+) as differentially methylated also between nonagenarians and young adults in a previous study, and importantly, the directions of changes were identical in the previous and in the present study. Conclusions The set of 987 replicated a-CpGs presented here are altered in strong association with chronological aging in the whole range of adulthood. Consequently, future studies should note the variability of the types of a-CpGs, and the a-CpGs presented here should be dissociated from the environmental-sensitive CpG-sites or from regions that are associated with aging in a non-linear manner due to the accumulation of senescence-related features. This report offers detailed and verified pool of a-CpGs in which DNAmet levels associate linearly with chronological age and of which are different from the non-linearly changing ones.

Project description:The developmental health of young children is highly influenced by the socioeconomic conditions in which they are raised. How to accurately measure these conditions is a point of debate in the current literature on child development, health, and social determinants. We have evaluated four existing indices of socioeconomic status (SES) to determine the most relevant for the analysis of early childhood development (ECD) in Canada. Following a literature review of published SES indices which used 2006 Canadian Census data, four indices were chosen based on their relevance to ECD and the number of citations in subsequent articles. These were: the Canadian Deprivation Index, the Socioeconomic Factor Index, the Canadian Marginalization Index and an index created by the Early Childhood Mapping Project in Alberta, Canada. The indices were replicated using SES data for 2038 customized geographic neighbourhoods encompassing 99.9% of the Canadian population, and the relationship of the indices to ECD was investigated by linking to aggregated data from the Early Development Instrument (EDI), a teacher-completed questionnaire used to assess kindergarten children's physical, social, emotional, and cognitive development, and communication skills. The derived SES indices were compared based on four criteria: the input variables used, the index structure, the interpretability of the index and the variance they explained (R2) in the different EDI outcome measures. In terms of variance explained, material components of the SES indices (e.g., income, education) consistently showed the strongest association with children's language and cognitive development. The patterns of association for the non-material SES components and the other developmental domains of the EDI were more complex. We discuss the findings in regard to current developments in the field, and the need for refining empirical and theoretical approaches to examine associations between different facets of SES contextual factors and different aspects of ECD outcomes.

Project description:ImportanceIncreased left ventricular (LV) mass and diastolic dysfunction are associated with cardiovascular disease. Prospective data on effects of childhood socioeconomic status (SES) on measures of LV structure and function are lacking.ObjectiveTo examine whether family SES in childhood was associated with LV mass and diastolic function after adjustment for conventional cardiovascular disease risk factors in childhood and adulthood.Design, setting, and participantsThe analyses were performed in 2016 using data gathered in 1980 and 2011 within the longitudinal population-based Cardiovascular Risk in Young Finns Study. The sample comprised 1871 participants who reported family SES at ages 3 to 18 years and were evaluated for LV structure and function 31 years later.ExposuresSocioeconomic status was characterized as annual income of the family and classified on a 3-point scale.Main outcomes and measuresLeft ventricular mass indexed according to height at the allometric power of 2.7 and the E/e' ratio describing LV diastolic performance at ages 34 to 49 years.ResultsThe participants were aged 3 to 18 years at baseline (mean [SD], 10.8 [5.0] years), and the length of follow-up was 31 years. Family SES was inversely associated with LV mass (mean [SD] LV mass index, 31.8 [6.7], 31.0 [6.6], and 30.1 [6.4] g/m2.7 in the low, medium, and high SES groups, respectively; differences [95% CI], 1.7 [0.6 to 2.8] for low vs high SES; 0.8 [-0.3 to 1.9] for low vs medium; and 0.9 [0.1 to 1.6] for medium vs high; overall P = .001) and E/e' ratio (mean [SD] E/e' ratio, 5.0 [1.0], 4.9 [1.0], and 4.7 [1.0] in the low, medium, and high SES groups, respectively; differences [95% CI], 0.3 [0.1 to 0.4] for low vs high SES; 0.1 [-0.1 to 0.3] for low vs medium; and 0.2 [0 to 0.3] for medium vs high; overall P < .001) in adulthood. After adjustment for age, sex, and conventional cardiovascular disease risk factors in childhood and adulthood, and participants' own SES in adulthood, the relationship with LV mass (differences [95% CI], 1.5 [0.2 to 2.8] for low vs high SES; 1.3 [0 to 2.6] for low vs medium; and 0.2 [-0.6 to 1.0] for medium vs high; P = .03) and E/e' ratio (differences [95% CI], 0.2 [0 to 0.5] for low vs high SES; 0.1 [-0.1 to 0.4] for low vs medium; and 0.1 [0 to 0.3] for medium vs high; P = .02) remained significant.Conclusions and relevanceLow family SES was associated with increased LV mass and impaired diastolic performance more than 3 decades later. These findings emphasize that approaches of cardiovascular disease prevention must be directed also to the family environment of the developing child.

Project description:Chronological aging-associated changes in the human DNA methylome have been studied by multiple epigenome-wide association studies (EWASs). Certain CpG sites have been identified as aging-associated in multiple studies, and the majority of the sites identified in various studies show common features regarding location and direction of the methylation change. However, as a whole, the sets of aging-associated CpGs identified in different studies, even with similar tissues and age ranges, show only limited overlap. In this study, we further explore and characterize CpG sites that show close relationship between their DNA methylation level and chronological age during adulthood and which bear the relationship regardless of blood cell type heterogeneity.In this study, with a multivariable regression model adjusted for cell type heterogeneity, we identified 1202 aging-associated CpG sites (a-CpGs, FDR < 5%), in whole blood in a population with an especially narrow age range (40 - 49 years). Repeatedly reported a-CpGs located in genes ELOVL2, FHL2, PENK and KLF14 were also identified. Regions with aging-associated hypermethylation were enriched regarding several gene ontology (GO) terms (especially in the cluster of developmental processes), whereas hypomethylated sites showed no enrichment. The genes with higher numbers of a-CpG hits were more often hypermethylated with advancing age. The comparison analysis revealed that of the 1202 a-CpGs identified in the present study, 987 were identified as differentially methylated also between nonagenarians and young adults in a previous study (The Vitality 90+ study), and importantly, the directions of changes were identical in the previous and in the present study.Here we report that aging-associated DNA methylation features can be identified in a middle-aged population with an age range of only 9 years. A great majority of these sites have been previously reported as aging-associated in a population aged 19 to 90 years. Aging is associated with different types of changes in DNA methylation, clock-like as well as random. We speculate that the a-CpGs identified here in a population with a narrow age-range represent clock-like changes, as they showed concordant methylation behavior in population spanning whole adulthood as well.