Evidence map›Paper›PMID 30533486›Full record

ArticleSSM - population health2018

Social sequencing to determine patterns in health and work-family trajectories for U.S. women, 1968-2013.

Sarah McKetta, Seth J Prins, Jonathan Platt, Lisa M Bates, Katherine Keyes

Open access · goldAbstract read
In one paragraph

Article in SSM - population health, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
5.1field-weighted citation impact, top 5% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed, 1 synthesis or guideline pooled it, 30 citations in OpenAlex.

  1. Work-family trajectories and health: A systematic review.Advances in life course research · 2022
    Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors at 1 institution in 2 countries.

Sarah McKettaDepartment of Epidemiology, Mailman School of Public Health, Columbia University, New York, NY, USA.
Seth J PrinsDepartment of Sociomedical Sciences, Mailman School of Public Health, Columbia University, New York, NY, USA.
Jonathan PlattDepartment of Epidemiology, Mailman School of Public Health, Columbia University, New York, NY, USA.
Lisa M BatesDepartment of Epidemiology, Mailman School of Public Health, Columbia University, New York, NY, USA.
Katherine KeyesDepartment of Epidemiology, Mailman School of Public Health, Columbia University, New York, NY, USA.
Columbia University · US

Funding

Health, Wealth, and Wellbeing over the Life Course and Across GenerationsR01AG040213 · NIA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI FRIEDMAN, ESTHER M. · 2011 to 2025
$31.2M
Family Dynamics, Fertility, and Investments in Children Across Generations - Administrative SupplementR01HD069609 · NICHD · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Thomas Fraser Crossley · 2011 to 2026
$14.2M
RESEARCH TRAINING PROGRAM IN PSYCHIATRIC EPIDEMIOLOGYT32MH013043 · NIMH · COLUMBIA UNIV NEW YORK MORNINGSIDE · PI Katherine M. Keyes · 1985 to 2026
$11.7M
Race, alcohol consumption and vehicle crashes: an epidemiologic paradoxK01AA021511 · NIAAA · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI KEYES, KATHERINE M. · 2013 to 2017
$904k
NIAAA NIH HHS K01 AA021511NIA NIH HHS R01 AG040213NICHD NIH HHS R01 HD069609NIMH NIH HHS T32 MH013043
6 · The paper itself

Abstract

backgroundWomen's social roles (partnership, parenthood, and worker status) are associated with health, with more roles being associated with lower mortality rates. Few studies have examined social roles using a lifecourse perspective to understand how changing role dynamics affect health over time. Sequence analysis is one analytic technique for examining social trajectories.

methodsWork-family trajectories were determined using social sequence analysis. We estimated mortality using age-standardized mortality rates and Poisson regression and examined the impact of personal income as a mediator.

resultsWe identified 5 trajectory types according to probability distributions of work/marriage/child-rearing status and descriptions in previous research

conclusionsMortality rates vary by work-family trajectories, but timing of childbearing does not meaningfully impact risk among women in this population, likely because few of the women who were married and had children also worked full-time. Household income has some mediating effect among those at highest risk of early mortality.

Identifiers

PMID30533486
PMCPMC6261835
OpenAlexW2898086077

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.