Time Period and Birth Cohort Differences in Depressive Symptoms in the U.S., 1982–2013

2014 ◽  
Vol 121 (2) ◽  
pp. 437-454 ◽  
Author(s):  
Jean M. Twenge
Keyword(s):  
Depressive Symptoms ◽  
Birth Cohort ◽  
Cohort Differences ◽  
Time Period ◽  
The U.S

scholarly journals 1270The Contribution of Lifestyle Patterns to Clustering of Elevated Depressive Symptoms within Birth Cohorts

2021 ◽  
Vol 50 (Supplement_1) ◽  
Author(s):  
Maria Gueltzow ◽  
Maarten J Bijlsma ◽  
Frank J van Lenthe ◽  
Mikko Myrskylä
Keyword(s):  
Physical Activity ◽  
Depressive Symptoms ◽  
Alcohol Consumption ◽  
Birth Cohort ◽  
Generational Differences ◽  
Decomposition Analysis ◽  
Cohort Effects ◽  
Lifestyle Factor ◽  
Birth Cohorts ◽  
Cohort Differences

Abstract Background Some birth cohorts experience a larger burden of depression than others. We hypothesize that lifestyle, i.e. BMI, alcohol consumption, smoking and physical activity, are potential drivers of these generational differences. Methods We analyzed data from US adults aged 50-80 years enrolled in the Health and Retirement Study (N = 163,760 person-years). Birth cohort effects were estimated with the age-period-cohort model approach according to Carstensen. Consequently, we assessed the contribution of lifestyle factors by comparing the predicted probability of elevated depressive symptoms to a counterfactual scenario in which all birth cohorts are assigned the lifestyle factor distribution of the 1945 cohort (counterfactual decomposition analysis). We stratified all analyses by sex and ethnicity. Results BMI contributes to an increased probability of elevated depressive symptoms of up to 32.7% (95%CI: 190.9-11.23%, 1923 cohort) for cohorts born before 1927 and a decrease of up to 16.7% (95%CI: 0.5-26.8, 1964 cohort) for cohorts born after 1959. Contributions are most pronounced in females and white/Caucasians. Alcohol consumption contributes up to 20% (95%CI: 0.8%;45.3%, 1925 cohort) to cohort effects of elevated depressive symptoms, whereas the magnitude differs by ethnicity. We found no evidence for contributions of smoking or physical activity. Conclusions Birth cohort effects of elevated depressive symptoms can be partly explained by lifestyle. In particular, mental health of females and the white/Caucasian population may have suffered from the increase in obesity levels in the US. Key messages BMI and alcohol consumption, but not smoking or physical activity, contribute to birth cohort differences in depression risk.

scholarly journals Historical Changes in Aging Trajectories of Two Aspects of Self-Perceptions of Aging

2020 ◽  
Vol 4 (Supplement_1) ◽  
pp. 602-602
Author(s):  
Oliver Huxhold ◽  
Svenja Spuling ◽  
Susanne Wurm
Keyword(s):  
Birth Cohort ◽  
Large Scale ◽  
Sequential Data ◽  
Historical Changes ◽  
Self Perceptions ◽  
Cohort Differences ◽  
Ongoing Development ◽  
Perceptions Of Aging

Abstract In recent years many studies have shown that adults with more positive self-perceptions of aging (SPA) increase their likelihood of aging healthily. Other studies have documented historical changes in individual resources and contextual conditions associated with aging. We explored how these historical changes are reflected in birth-cohort differences in aging trajectories of two aspects of SPA – viewing aging as ongoing development or as increasing physical losses. Using large-scale cohort-sequential data assessed across 21 years (N ≈ 19,000), the analyses modeled birth-cohort differences in aging trajectories of SPA from 40 to 85 years of age. The results illustrated differential birth-cohort differences: Later-born cohorts may experience more potential for ongoing development with advancing age than earlier-born cohorts. However, later-born cohorts seem to view their own aging as more negative than earlier-born cohorts during their early forties but may associate their aging less with physical losses after the age of fifty.

scholarly journals Trajectories of maternal depressive symptoms and offspring’s risk behavior in early adolescence: data from the 2004 Pelotas birth cohort study

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Ana Beatriz Bozzini ◽  
Jessica Mayumi Maruyama ◽  
Tiago N. Munhoz ◽  
Aluísio J. D. Barros ◽  
Fernando C. Barros ◽  
...  
Keyword(s):  
Cohort Study ◽  
Depressive Symptoms ◽  
Alcohol Use ◽  
Maternal Depression ◽  
Risk Behavior ◽  
Birth Cohort ◽  
Depression Scale ◽  
Self Report ◽  
Birth Cohort Study ◽  
Maternal Depressive Symptoms

Abstract Background This longitudinal study explored the relationship between trajectories of maternal depressive symptoms and offspring’s risk behavior in adolescence contributing to an extremely scarce literature about the impacts of maternal depression trajectories on offspring risk behaviors. Methods We included 3437 11-year-old adolescents from the 2004 Pelotas Birth Cohort Study. Trajectories of maternal depressive symptoms were constructed using Edinburgh Postnatal Depression Scale (EDPS) from age 3 months to 11 years. We identified five trajectories of maternal depressive symptoms: “low” “moderate low”, “increasing”, “decreasing”, and “chronic high”. The following adolescent outcomes were identified via self-report questionnaire and analyzed as binary outcome –yes/no: involvement in fights and alcohol use at age 11. We used logistic regression models to examine the effects of trajectories of maternal depressive symptoms on offspring’s risk behavior adjusting for potential confounding variable. Results Alcohol use and/or abuse as well as involvement in fights during adolescence, were not significantly associated with any specific trajectory of maternal depressive symptoms neither in the crude nor in the adjusted analyses. Conclusion Alcohol use and involvement in fights at age 11 were not associated with any specific trajectory of maternal depression.

scholarly journals Age Cohort Differences and Depressive Symptoms Among Community-Dwelling Older Americans

2020 ◽  
Vol 4 (Supplement_1) ◽  
pp. 61-61
Author(s):  
Ethan Siu Leung Cheung ◽  
Ada Mui
Keyword(s):  
Depressive Symptoms ◽  
Short Form ◽  
Cognitive Status ◽  
Community Dwelling ◽  
Independent Effect ◽  
Depression Symptoms ◽  
Older Americans ◽  
Age Cohorts ◽  
Cohort Differences ◽  
Age Cohort

Abstract This study uses Wave 3 National Social Life, Health and Aging Project to examine the correlation between age cohorts [60s (n=1204); 70s (n=1176); 80 and older (n= 724)], cognitive status, and depression symptoms. In the total sample, 53.90% were females, 76.15% Whites, 15.29% Blacks, and 8.56% Asians. Compared to the 60s and 70s cohorts, 80+ cohort was cognitively more impaired [Mean (SD) of MoCA Short Form were 10.7(2.9), 10.0(3.2), and 8.1(3.6)]. There were no age cohorts’ differences in depressive symptoms experienced (Mean of CESD Short Form = 21.03; SD = 4.06). In order to identify predictors of depression, multiple hierarchical regressions were performed. The 60s sample was the reference group to compare with 70s and 80s cohorts. Results showed that age cohort variables had a significant independent effect as well as a joint effect with cognitive status in explaining depression scores. For each age cohort group, parallel regression analyses were conducted and all models were significant. Findings suggest that ADL impairment was the only common predictor for depressive symptoms for the three cohort groups, and the association was the strongest for the 60s cohort (b = .31). Other unique predictors for 60s cohort were lower-income, more IADLs impairment, higher stress and cognitive impairment. For the 70s cohort, unique predictors of depressive symptoms were female gender, unmarried, and less socialization. For the 80 and above group, correlates of depression are female, White, and high stress level. Findings highlight the necessity of age-sensitive programs on depression support for community-dwelling older Americans.

scholarly journals Longitudinal birth cohort study finds that life-course frailty associates with later-life heart size and function

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Constantin-Cristian Topriceanu ◽  
James C. Moon ◽  
Rebecca Hardy ◽  
Nishi Chaturvedi ◽  
Alun D. Hughes ◽  
...  
Keyword(s):  
Life Course ◽  
Birth Cohort ◽  
Left Ventricular ◽  
Step Change ◽  
Deficit Accumulation ◽  
Cardiac Phenotype ◽  
Time Period ◽  
Time Periods ◽  
The Life Course ◽  
Health Deficit

AbstractA frailty index (FI) counts health deficit accumulation. Besides traditional risk factors, it is unknown whether the health deficit burden is related to the appearance of cardiovascular disease. In order to answer this question, the same multidimensional FI looking at 45-health deficits was serially calculated per participant at 4 time periods (0–16, 19–44, 45–54 and 60–64 years) using data from the 1946 Medical Research Council (MRC) British National Survey of Health and Development (NSHD)—the world’s longest running longitudinal birth cohort with continuous follow-up. From these the mean and total FI for the life-course, and the step change in deficit accumulation from one time period to another was derived. Echocardiographic data at 60–64 years provided: ejection fraction (EF), left ventricular mass indexed to body surface area (LVmassi, BSA), myocardial contraction fraction indexed to BSA (MCFi) and E/e′. Generalized linear models assessed the association between FIs and echocardiographic parameters after adjustment for relevant covariates. 1375 participants were included. For each single new deficit accumulated at any one of the 4 time periods, LVmassi increased by 0.91–1.44% (p < 0.013), while MCFi decreased by 0.6–1.02% (p < 0.05). A unit increase in FI at age 45–54 and 60–64, decreased EF by 11–12% (p < 0.013). A single health deficit step change occurring between 60 and 64 years and one of the earlier time periods, translated into higher odds (2.1–78.5, p < 0.020) of elevated LV filling pressure. Thus, the accumulation of health deficits at any time period of the life-course associates with a maladaptive cardiac phenotype in older age, dominated by myocardial hypertrophy and poorer function.

Infant fatality patterns in shared sleep: keys to intervention strategies?

2021 ◽  
Vol 65 (1) ◽  
pp. 1322-1326
Author(s):  
Dorothy Ann Drago ◽  
Carol Pollack-Nelson ◽  
Sarah Beth Newens
Keyword(s):  
Cause Of Death ◽  
Potential Risk ◽  
Intervention Strategies ◽  
Consumer Product Safety Commission ◽  
Time Period ◽  
Reduction Strategies ◽  
Sleep Environment ◽  
Risk Reduction Strategies ◽  
The U.S ◽  
Age And Sex

This study examines infant fatalities that occurred while sharing a sleep surface. Fatality data reported to the U.S. Consumer Product Safety Commission (CPSC) during the time period January, 2013 through December, 2017 and involving infants through age 10 months were reviewed. 1,587 Cases were analyzed on the following variables: infant age and sex; sleep environment by product; cause of death; fatality pattern; and breastfeeding, where it was mentioned. 97% Of deaths were due to some form of asphyxia. Adult beds were associated with 78% of shared sleep fatalities, and the primary fatality pattern was overlay (35.4%)/probable overlay (8.8%). Infants <3 months made up 65% of fatalities. The data reflect that bedsharing continues, despite AAP guidelines to the contrary, and that overlay is the primary hazard pattern to be addressed. This paper discusses potential risk reduction strategies that may reduce the potential for overlay fatalities.

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