Objective and subjective measurement of sedentary behavior in human adults
A toolkit
Bibliographic Data
| ID | 19460565 |
|---|---|
| Authors | Justin Aunger (0000-0001-6975-4570, Health Services Management Centre Park House, University of Birmingham England UK), Janelle Wagnild (0000-0003-3933-6380, Department of Anthropology Durham University Durham England UK, corresponding author) |
| Year | 2022 |
| Volume | 34 |
| Issue | 1 |
| Pages | e23546-e23546 |
| Publication date | 2022-01-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | American Journal of Human Biology (JOURNAL) |
| Journal identifiers | ISSN: 1042-0533 • E-ISSN: 1520-6300 |
| Publisher | Wiley (PUBLISHER • GB) |
| DOI | 10.1002/ajhb.23546 |
| PMID | 33277954 |
| OpenAlex | W3107527183 |
| Language | EN |
| Citations received | 11 |
| References cited | 124 |
OBJECTIVES: Objectives: 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. METHODS: This 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. RESULTS: Objective 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. CONCLUSIONS: We 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
Activity monitor · Cognitive psychology · Inclinometer · Physical activity · Physical medicine and rehabilitation · Recall · Recall bias · Sedentary behavior · Sedentary lifestyle · Self-report study · Sitting · Applied Psychology · Cardiovascular and exercise physiology · Computer Science · Genetics and Physical Performance · Medicine · Physical Activity and Health · Psychology · Social Psychology
Association of sitting time with cardiovascular events among manual and non-manual workers
Differences in Free-Living Patterns of Sedentary Behaviour between Office Employees with Diabetes and Office Employees without Diabetes
Sedentary Behavior Patterns of the Hungarian Adult Population
Exploring the effect of sedentary behavior on increased adiposity in middle-aged adults
Not All Sitting Is Equal in Later Life
Exploring the relationship between occupational stress, physical activity and sedentary behavior using the Job-Demand-Control Model
Cognitive Engagement in Online Learning Environments
Objective and subjective measurement of sedentary behavior in human adults
Measuring food insecurity
Comportamento sedentário e padrões alimentares em adultos jovens da Coorte de Nascimentos de 1993 de Pelotas, Brasil
Can You Please Sit Still
Calibration of the Computer Science and Applications, Inc. accelerometer
Ecological Momentary Assessment (Ema) in Behavioral Medicine
Physical Activity in U.S. Adults
Amount of Time Spent in Sedentary Behaviors in the United States, 2003-2004
Dose-response associations between accelerometry measured physical activity and sedentary time and all cause mortality
Methods of Measurement in epidemiology
Measurement of Adults' Sedentary Time in Population-Based Studies
A comparison of self-reported and device measured sedentary behaviour in adults
Television Viewing and Risk of Type 2 Diabetes, Cardiovascular Disease, and All-Cause Mortality
Validation of Wearable Monitors for Assessing Sedentary Behavior
Breaking Up Prolonged Sitting Reduces Postprandial Glucose and Insulin Responses
Breaks in Sedentary Time
Too Much Sitting
Time use and physical activity
Evolution of accelerometer methods for physical activity research
Reliability and Validity of the Sedentary Behavior Questionnaire (SBQ) for Adults
Role of Low Energy Expenditure and Sitting in Obesity, Metabolic Syndrome, Type 2 Diabetes, and Cardiovascular Disease
Sedentary behaviour and risk of all-cause, cardiovascular and cancer mortality, and incident type 2 diabetes
Ecological Momentary Assessment
Physical Activity in the United States Measured by Accelerometer
International Physical Activity Questionnaire
Objective and subjective measurement of sedentary behavior in human adults
Taking the sleep lab to the field
Physical activity patterns and biomarkers of cardiovascular disease risk in hunter‐gatherers
Physical activity
Hunter-gatherers and human evolution
Hunter-gatherer energetics and fertility
Female subsistence strategies among Ache hunter-gatherers of Eastern Paraguay
Men's time allocation to subsistence work among the Ache of Eastern Paraguay
Hunter‐gatherers
Calibration of Self-Reported Time Spent Sitting, Standing and Walking among Office Workers
Calibration of the global physical activity questionnaire to Accelerometry measured physical activity and sedentary behavior
A novel integrative procedure for identifying and integrating three-dimensions of objectively measured free-living sedentary behaviour
Energy expenditure during common sitting and standing tasks
Associations of sedentary time and self-reported television time during pregnancy with incident gestational diabetes and plasma glucose levels in women at risk of gestational diabetes in the UK
The use of a wearable camera to capture and categorise the environmental and social context of self-identified eating episodes
Contextual correlates of energy-dense snack food and sweetened beverage intake across the day in African American women
Engagement in agricultural work is associated with reduced leisure time among Agta hunter-gatherers
Seasonality and Sex Differences in Travel Distance and Resource Transport in Venezuelan Foragers
| Unique citing works | 11 |
|---|---|
| Citations per year | 2,75 |
| Citation span | 2022 - 2026 (5) |
| Citation velocity | current |
| Highly cited | No |
| Citation types | Neutral: 11 |