Evidence map›Paper›PMID 30773232›Full record

ArticleAmerican journal of preventive medicine2019

Longitudinal Sedentary Time Among Females Aged 17 to 23 Years.

Deborah R Young, Margo A Sidell, Corinna Koebnick, Brit I Saksvig, Yasmina Mohan, Deborah A Cohen, Tong Tong Wu

Abstract read
In one paragraph

Article in American journal of preventive medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
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

3 citing papers in PubMed.

  1. Review
  2. Article
  3. 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

7 authors.

Deborah R YoungDepartment of Research and Evaluation, Kaiser Permanente Southern California, Pasadena, California. Electronic address: deborah.r.young@kp.org.
Margo A SidellDepartment of Research and Evaluation, Kaiser Permanente Southern California, Pasadena, California.
Corinna KoebnickDepartment of Research and Evaluation, Kaiser Permanente Southern California, Pasadena, California.
Brit I SaksvigDepartment of Epidemiology and Biostatistics, University of Maryland, College Park, Maryland.
Yasmina MohanDepartment of Research and Evaluation, Kaiser Permanente Southern California, Pasadena, California.
Deborah A CohenRAND Corporation, Santa Monica, California.
Tong Tong WuDepartment of Biostatistics and Computational Biology, University of Rochester, Rochester, New York.

Funding

Trajectories of Physical Activity and Sedentary Time in Adolescent/Young WomenR01HL119058 · NHLBI · KAISER FOUNDATION RESEARCH INSTITUTE · PI YOUNG, DEBORAH R. · 2014 to 2016
$1.9M
Adolescent Physical Activity Decline In GirlsR01HL094572 · NHLBI · UNIV OF MARYLAND, COLLEGE PARK · PI YOUNG, DEBORAH R. · 2009 to 2010
$1.1M
NHLBI NIH HHS R01 HL094572NHLBI NIH HHS R01 HL119058
6 · The paper itself

Abstract

introductionTime spent in sedentary behaviors is a newer risk factor for poor cardiometabolic health. This study examined longitudinal correlates of sedentary time among a cohort of females from about age 17 to age 23 years.

methodsThe cohort included females originally participating in the Trial of Activity for Adolescent Girls Maryland site who had assessments in 2009 and 2015 (n=431). Percentage daily time in sedentary behaviors was determined from accelerometers. Sociodemographics, psychosocial factors, and health behaviors were assessed by questionnaire. Lasso variable selection identified potential variables included in linear mixed effects models. As a secondary analysis, a k-means algorithm for longitudinal data identified homogeneous clusters of individual sedentary time trajectories.

resultsPercentage daily sedentary time did not change over time (67% to 68%). Not of black race (p=0.04), higher father's education (p<0.001), more weekday computer hours (p<0.001), more weekend TV hours (p=0.01), more physical activity barriers (p=0.003), fewer days per week driving (p=0.01), and more vehicles in the household (p=0.02) were associated with greater sedentary time. Cluster analysis resulted in two patterns: more (70%) versus less (60%) time being sedentary. The more sedentary individuals were more likely to be college graduates (p<0.001), have a higher income (p=0.03), and work fewer hours (p=0.009). They were also less likely to be married or in a common-law relationship (p=0.05) or in a parenting role (p=0.02).

conclusionsTime spent in sedentary behaviors remained stable. Factors associated with sedentary time were significant across the socioecologic framework and included several factors indicating higher SES.

Indexed as

Sedentary BehaviorAccelerometryAdolescentComputersFemaleHealth BehaviorHumansLongitudinal StudiesMarylandSocioeconomic FactorsSurveys and QuestionnairesTime FactorsYoung Adult

Identifiers

PMID30773232
PMCPMC6430668

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Registered trials

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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.