The Early Determinants of Adult Health Study

Süsser, Ezra; Buka, Stephen L.; Schaefer, Catherine; Andrews, Howard; Cirillo, Piera M.; Factor-Litvak, Pam; Gillman, Matthew W.; Goldstein, Jill M.; Henry, Paula Ivey; Lumey, L. H.; McKeague, Ian W.; Michels, Karin B.; Terry, Mary Beth; Cohn, Barbara A.

doi:10.1017/s2040174411000663

Cited by 29 publications

(36 citation statements)

References 62 publications

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“…Over 15,000 women participated between 1959 and 1966, resulting in about 20,000 pregnancies. One of a series of follow-up studies launched in 2005 to explore how fetal and childhood growth and development affect adult health, SER was designed to investigate the effects of prenatal organochlorine exposure on men's reproductive health (9, 10). To become participants, the couples were required to have birth length and weight data, maternal interview data, sufficient second-trimester and postpartum serum available for serologic measures, and to live within approximately 100 miles of the Kaiser Oakland Clinic.…”

Section: Methodsmentioning

confidence: 99%

Effects of work and life stress on semen quality

Janević

Kahn

Landsbergis

et al. 2014

Fertility and Sterility

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Objective To evaluate associations between work-related stress, stressful life events, and perceived stress and semen quality. Design Cross-sectional analysis. Setting Northern California. Patient(s) 193 men from the Child Health and Development Studies evaluated between 2005–2008. Intervention(s) None. Main Outcome Measure(s) Measures of stress including job strain, perceived stress, and stressful life events; outcome measures of sperm concentration, percentage of motile sperm, and percentage of morphologically normal sperm. Result(s) We found an inverse association between perceived stress score and sperm concentration (estimated coefficient b = –0.09 × 103/mL; 95% confidence interval [CI] = –0.18, –0.01), motility (b = –0.39; 95% CI = –0.79, 0.01), and morphology (b = –0.14; 95% CI, –0.25, –0.04) in covariate-adjusted linear regression analyses. Men who experienced two or more stressful life events in the past year compared with no stressful events had a lower percentage of motile sperm (b= –8.22; 95% CI, –14.31, –2.13) and a lower percentage of morphologically normal sperm (b = –1.66; 95% CI, –3.35, 0.03) but a similar sperm concentration. Job strain was not associated with semen parameters. Conclusion(s) In this first study to examine all three domains of stress, perceived stress and stressful life events but not work-related stress were associated with semen quality.

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Section: Methodsmentioning

confidence: 99%

Effects of work and life stress on semen quality

Janević

Kahn

Landsbergis

et al. 2014

Fertility and Sterility

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“…This on-going surveillance facilitated our ability to locate cohort members at midlife (Susser et al, 2011, Cirillo et al, 2011; Terry et al, 2011; Janevic et al, 2014). Efforts to maintain information about the location of cohort families, the rich data on a relatively large subgroup through adolescence, and sufficient variation in race and SES (see online supplement) make the cohort a strong setting for studying the emergence of health disparities.…”

Section: The Child Health and Development Studies Cohortmentioning

confidence: 99%

Disparities in self-rated health across generations and through the life course

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Süsser

Factor-Litvak

et al. 2017

Social Science & Medicine

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Extensive evidence leads us to expect that health disparities by race and socioeconomic status found in one generation might be reproduced in the next. To the extent that this occurs it is important to assess life course processes responsible for the reproduction. Prospective evidence concerning such life course processes is hard to come by as it requires long-term follow-up of individuals from childhood through adult life. We present data from the Child Health and Development Disparities study that provides evidence relevant to this issue with respect to self-rated health. Mothers and offspring recruited in California's Bay Area between 1959 and 1967 were assessed during pregnancy with follow-up exams of offspring along with in-person interviews with mothers (at offspring ages 5, 9–11, 15–17) and offspring (at ages 15–17, ~50). Available data allow us to assess the importance of three potential life course pathways in the reproduction of inequalities in self-rated health – socioeconomic pathways, cognitive pathways and pathways involving emerging health itself. As expected we found that race and SES disparities in SRH are reproduced across generations. They are evident in mothers, not strong or significant in offspring at 15–17, but present once again in offspring at age ~50. Concerning potential pathways, we found that indicators of child health were related to adult SRH and played some role in accounting for race but not SES disparities in adult SRH. Cognitive abilities were unrelated to adult SRH with childhood SES controlled. Childhood SES was associated with adult SRH independent of other childhood factors and is reduced to non-significance only when offspring college attainment is controlled. Race and SES disparities in self-reported health in one generation are re-expressed in the next with strongest support for SES pathways in this transmission.

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“…The Early Determinants of Mammographic Density (EDMD) study is an adult follow-up of women born in two US birth cohorts – the Child Health and Development Studies (CHDS), which was conducted in California between 1959–1967 [19,20], and two sites of the Collaborative Perinatal Project (referred to as the New England Family Study, NEFS) conducted in Boston, Massachusetts and Providence, Rhode Island between 1959–1966 [21]. Details of this cohort have been previously published [22].…”

Section: Methodsmentioning

confidence: 99%

Alcohol intake from early adulthood to midlife and mammographic density

McDonald

Michels

Cohn

et al. 2016

Cancer Causes Control

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Purpose Moderate alcohol consumption (15 grams/day) has been consistently associated with increased breast cancer risk; however, the association between alcohol and mammographic density, a strong marker of breast cancer risk, has been less consistent. Less is known about the effect of patterns of alcohol intake across the lifecourse. Methods Using the Early Determinants of Mammographic Density study, an adult follow-up of women born in two US birth cohorts (N=697; Collaborative Perinatal Project in Boston and Providence sites and the Childhood Health and Development Studies in California), we examined the association between alcohol intake in early adulthood (ages 20–29 years) and at time of interview and mammographic density (percent density and total dense area). We report the difference between nondrinkers and three levels of alcohol intake. We considered confounding by age at mammogram, body mass index, geographic site, race/ethnicity, and reproductive characteristics. Results Seventy-nine percent of women reported ever consuming alcohol. Compared to nondrinkers in early adulthood, we observed an inverse association between >7 servings/week and percent density in fully adjusted models (β=−5.1, 95% CI −8.7, −1.5; p for trend = <0.01). Associations with dense area were inverse for the highest category of drinking in early adulthood but not statistically significant (p for trend = 0.15). Compared to noncurrent drinkers, the association for current intake of >7 servings/week and percent density was also inverse (β=−3.1, 95% CI −7.0, 0.8; p for trend = 0.01). In contrast, moderate alcohol intake (>0–≤7 servings/week) in either time period was positively associated with dense area; but associations were not statistically significant in fully adjusted models. Conclusions Our study does not lend support to the hypothesis that the positive association between alcohol intake and breast cancer risk is through increasing mammographic density.

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The Early Determinants of Adult Health Study

Cited by 29 publications

References 62 publications

Effects of work and life stress on semen quality

Effects of work and life stress on semen quality

Disparities in self-rated health across generations and through the life course

Alcohol intake from early adulthood to midlife and mammographic density

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