Evidence map›Paper›PMID 33277954›Full record

ArticleAmerican journal of human biology : the official journal of the Human Biology Council2022

Objective and subjective measurement of sedentary behavior in human adults: A toolkit.

Justin Aunger, Janelle Wagnild

Open access · hybridAbstract read
In one paragraph

Article in American journal of human biology : the official journal of the Human Biology Council, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers, 7 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed, 7 pooled it
3.4field-weighted citation impact, top 7% 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

34 citing papers in PubMed, 7 syntheses or guidelines pooled it, 61 citations in OpenAlex.

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  13. Factors associated with bone health in long distance runners: a cross-sectional study.Osteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA · 2025
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  17. Enabling Older Adults to Provide High-quality Activity Labels: Unpacking Accuracy, Precision, and Granularity in Activity Labeling.Proceedings of the ACM on interactive, mobile, wearable and ubiquitous technologies · 2025
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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

2 authors at 2 institutions in 1 country.

Justin AungerHealth Services Management Centre, Park House, University of Birmingham, England, UK.ORCID 0000-0001-6975-4570
Janelle WagnildDepartment of Anthropology, Durham University, Durham, England, UK.ORCID 0000-0003-3933-6380
Birmingham Research Park · GBDurham University · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesObjectives: Human biologists are increasingly interested in measuring and comparing physical activities in different societies. Sedentary behavior, which refers to time spent sitting or lying down while awake, is a large component of daily 24 hours movement patterns in humans and has been linked to poor health outcomes such as risk of all-cause and cardiovascular mortality, independently of physical activity. As such, it is important for researchers, with the aim of measuring human movement patterns, to most effectively use resources available to them to capture sedentary behavior.

methodsThis toolkit outlines objective (device-based) and subjective (self-report) methods for measuring sedentary behavior in free-living contexts, the benefits and drawbacks to each, as well as novel options for combined use to maximize scientific rigor. Throughout this toolkit, emphasis is placed on considerations for the use of these methods in various field conditions and in varying cultural contexts.

resultsObjective measures such as inclinometers are the gold-standard for measuring total sedentary time but they typically cannot capture contextual information or determine which specific behaviors are taking place. Subjective measures such as questionnaires and 24 hours-recall methods can provide measurements of time spent in specific sedentary behaviors but are subject to measurement error and response bias.

conclusionsWe recommend that researchers use the method(s) that suit the research question; inclinometers are recommended for the measurement of total sedentary time, while self-report methods are recommended for measuring time spent in particular contexts of sedentary behavior.

Indexed as

ExerciseSedentary BehaviorAdultHumansSelf ReportSitting PositionSurveys and Questionnaires

Identifiers

PMID33277954
PMCPMC9286366
OpenAlexW3107527183

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.