Evidence map›Paper›PMID 26296095›Full record

ArticlePloS one2015

Gender and Age Differences in Hourly and Daily Patterns of Sedentary Time in Older Adults Living in Retirement Communities.

John Bellettiere, Jordan A Carlson, Dori Rosenberg, Anant Singhania, Loki Natarajan, Vincent Berardi, Andrea Z LaCroix, Dorothy D Sears, Kevin Moran, Katie Crist and 1 more

Registry-linked trialAbstract read
In one paragraph

Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT01155011 (MIPARC - Multilevel Intervention for Physical Activity in Retirement Communities), which is not on this map. Cited by 51 papers.

0numbers the graph read from it
0cells of the map it votes in
51citing 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.

NCT01155011 nacompletednot on this map

MIPARC - Multilevel Intervention for Physical Activity in Retirement Communities

TypeinterventionalSponsorUniversity of California, San DiegoRan2011 to 2014Enrolled307ConditionsPhysical Activity, Blood Pressure, Physical Functioning, Quality of LifeArmsPhysical Activity, Group educational sessions, Phone counseling call, Peer Mentoring, Policy Change
3 · Its place in the literature

Who cites it

51 citing papers in PubMed.

  1. Trial
  2. Trial
  3. Trial
  4. Trial
  5. Trial
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Localizing EEG Recordings Associated With a Balance Threat During Unexpected Postural Translations in Young and Elderly Adults.IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society · 2023
    Article
  16. Article
  17. Article
  18. Article
  19. Observational
  20. 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

11 authors.

John BellettiereSan Diego State University/University of California, San Diego Joint Doctoral Program in Public Health (Epidemiology), University of California San Diego, La Jolla, California, United States of America; Center for Behavioral Epidemiology and Community Health, Graduate School of Public Health, San Diego State University, San Diego, California, United States of America.
Jordan A CarlsonCenter for Children's Healthy Lifestyles and Nutrition, Children's Mercy Hospital, Kansas City, Missouri, United States of America.
Dori RosenbergDepartment of Health Services, University of Washington School of Public Health, Seattle, Washington, United States of America.
Anant SinghaniaDepartment of Family Medicine and Public Health, University of California San Diego, La Jolla, California, United States of America.
Loki NatarajanDepartment of Family Medicine and Public Health, University of California San Diego, La Jolla, California, United States of America.
Vincent BerardiCenter for Behavioral Epidemiology and Community Health, Graduate School of Public Health, San Diego State University, San Diego, California, United States of America; Computational Science Research Center, San Diego State University, San Diego, California.
Andrea Z LaCroixDepartment of Family Medicine and Public Health, University of California San Diego, La Jolla, California, United States of America.
Dorothy D SearsDepartment of Family Medicine and Public Health, University of California San Diego, La Jolla, California, United States of America.
Kevin MoranDepartment of Family Medicine and Public Health, University of California San Diego, La Jolla, California, United States of America.
Katie CristDepartment of Family Medicine and Public Health, University of California San Diego, La Jolla, California, United States of America.
Jacqueline KerrDepartment of Family Medicine and Public Health, University of California San Diego, La Jolla, California, United States of America.

Funding

UCSD Integrated Cardiovascular Epidemiology FellowshipT32HL079891 · NHLBI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI Matthew A Allison · 2007 to 2026
$6.7M
MIPARC - Multilevel Intervention for Physical Activity in Retirement CommunitiesR01HL098425 · NHLBI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI KERR, JACQUELINE · 2010 to 2013
$2.9M
Investigating Sedentary Time In Aging: New Directions Using Technology (iSTAND)K23HL119352 · NHLBI · KAISER FOUNDATION HEALTH PLAN OF WASHINGTON · PI ROSENBERG, DORI E · 2014 to 2017
$564k
NHLBI NIH HHS K23 HL119352NHLBI NIH HHS R01 HL098425NHLBI NIH HHS R01HL098425NHLBI NIH HHS T32 HL079891NHLBI NIH HHS T32 HL79891
6 · The paper itself

Abstract

backgroundTotal sedentary time varies across population groups with important health consequences. Patterns of sedentary time accumulation may vary and have differential health risks. The purpose of this study is to describe sedentary patterns of older adults living in retirement communities and illustrate gender and age differences in those patterns.

methodsBaseline accelerometer data from 307 men and women (mean age = 84±6 years) who wore ActiGraph GT3X+ accelerometers for ≥ 4 days as part of a physical activity intervention were classified into bouts of sedentary time (<100 counts per minute). Linear mixed models were used to account for intra-person and site-level clustering. Daily and hourly summaries were examined in mutually non-exclusive bouts of sedentary time that were 1+, 5+, 10+, 20+, 30+, 40+, 50+, 60+, 90+ and 120+ minutes in duration. Variations by time of day, age and gender were explored.

resultsMen accumulated more sedentary time than women in 1+, 5+, 10+, 20+, 30+, 40+, 50+ and 60+ minute bouts; the largest gender-differences were observed in 10+ and 20+ minute bouts. Age was positively associated with sedentary time, but only in bouts of 10+, 20+, 30+, and 40+ minutes. Women had more daily 1+ minute sedentary bouts than men (71.8 vs. 65.2), indicating they break up sedentary time more often. For men and women, a greater proportion of time was spent being sedentary during later hours of the day than earlier. Gender differences in intra-day sedentary time were observed during morning hours with women accumulating less sedentary time overall and having more 1+ minute bouts.

conclusionsPatterns identified using bouts of sedentary time revealed gender and age differences in the way in which sedentary time was accumulated by older adults in retirement communities. Awareness of these patterns can help interventionists better target sedentary time and may aid in the identification of health risks associated with sedentary behavior. Future studies should investigate the impact of patterns of sedentary time on healthy aging, disease, and mortality.

Indexed as

Sedentary BehaviorActigraphyAged, 80 and overAge FactorsCross-Sectional StudiesFemaleHumansIndependent LivingMaleMotor ActivityRetirementSex Factors

Identifiers

PMID26296095
PMCPMC4546658

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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.