Evidence map›Paper›PMID 35676552›Full record

ArticleAging clinical and experimental research2022

Profiles of sedentary behaviors in the oldest old: findings from the National Health and Aging Trends Study.

Weijiao Zhou, Katelyn E Webster, Philip T Veliz, Janet L Larson

Abstract read
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In one paragraph

Article in Aging clinical and experimental research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 4 pooled it
1.3field-weighted citation impact, top 20% 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

10 citing papers in PubMed, 4 syntheses or guidelines pooled it, 12 citations in OpenAlex.

  1. Impact of Different Types of Sedentary Behaviour on Cognitive Function in Older Adults: A Systematic Review.Health promotion journal of Australia : official journal of Australian Association of Health Promotion Professionals · 2026
    Pooled it
  2. Pooled it
  3. Interventions to reduce sedentary behaviour in community-dwelling older adults: a mixed-method review.The international journal of behavioral nutrition and physical activity · 2025
    Pooled it
  4. Pooled it
  5. Pain and its association with device-measured activity patterns in older adults: age and sex differences in a population-based cross-sectional study.European review of aging and physical activity : official journal of the European Group for Research into Elderly and Physical Activity · 2026
    Article
  6. Screen time and allostatic load among youth: findings from the National Health and Nutrition Examination Survey, 2015-2018.Annals of behavioral medicine : a publication of the Society of Behavioral Medicine · 2025
    Article
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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

4 authors at 2 institutions in 1 country.

Weijiao Zhou *School of Nursing, University of Michigan, Ann Abor, MI, USA. weijiaoz@umich.edu.ORCID http://orcid.org/0000-0001-6521-9896
Katelyn E Webster *School of Nursing, Indiana University, Indianapolis, IN, USA.
Philip T VelizSchool of Nursing, University of Michigan, Ann Abor, MI, USA.
Janet L LarsonSchool of Nursing, University of Michigan, Ann Abor, MI, USA.
University of Michigan · USIndiana University – Purdue University Indianapolis · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSedentary behavior is a significant health risk. Emerging research suggests that mentally active sedentary behaviors (e.g., computer use and reading) are associated with better health than mentally passive sedentary behaviors (e.g., watching TV). However, these relationships are not well established in the literature, and little is known about the oldest old (age ≥ 80).

aimsThe aims of this study were to (1) identify distinct subgroups of oldest old adults based on six domains of sedentary behavior (watching TV, using a computer/tablet, talking to friends or family members, doing hobby or other activities, transportation, and resting/napping); and (2) compare health-related outcomes across identified subgroups, using the National Health and Aging Trends Study (NHATS) dataset.

methodsLatent profile analysis was used to identify distinct profiles of sedentary behavior. Design-based linear and logistic regressions were used to examine associations between different profiles and health outcomes, accounting for socio-demographic characteristics.

resultsA total of 852 participants were included. We identified four profiles and named them based on total sedentary time (ST) and passive/active pattern: "Medium-passive", "High-passive", "Low", "High-mentally active". Compared to the "High-passive" group, "Low" group and "High-mentally active" group were associated with fewer difficulties with activities of daily living, fewer problems limiting activities and higher cognitive function.

conclusionThis study, with a national representative sample of the oldest old population, suggests that both total ST and sedentary behavior pattern matter when evaluating health outcomes of being sedentary. Interventions should encourage oldest old adults to reduce ST and especially target mentally passive ST.

Indexed as

Healthy AgingSedentary BehaviorActivities of Daily LivingAged, 80 and overAgingCognitionHumansLatent profile analysisOlder adultsOldest oldSedentary behavior

Identifiers

PMID35676552
OpenAlexW4282936453

What OpenQuestion holds

Textmetadata
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.