» Articles » PMID: 26437960

Systematic Literature Review of Determinants of Sedentary Behaviour in Older Adults: a DEDIPAC Study

Overview
Publisher Biomed Central
Date 2015 Oct 7
PMID 26437960
Citations 104
Authors
Affiliations
Soon will be listed here.
Abstract

Background: Older adults are the most sedentary segment of society and high sedentary time is associated with poor health and wellbeing outcomes in this population. Identifying determinants of sedentary behaviour is a necessary step to develop interventions to reduce sedentary time.

Methods: A systematic literature review was conducted to identify factors associated with sedentary behaviour in older adults. Pubmed, Embase, CINAHL, PsycINFO and Web of Science were searched for articles published between 2000 and May 2014. The search strategy was based on four key elements: (a) sedentary behaviour and its synonyms; (b) determinants and its synonyms (e.g. correlates, factors); (c) types of sedentary behaviour (e.g. TV viewing, sitting, gaming) and (d) types of determinants (e.g. environmental, behavioural). Articles were included in the review if specific information about sedentary behaviour in older adults was reported. Studies on samples identified by disease were excluded. Study quality was rated by means of QUALSYST. The full review protocol is available from PROSPERO (PROSPERO 2014: CRD42014009823). The analysis was guided by the socio-ecological model framework.

Results: Twenty-two original studies were identified out of 4472 returned by the systematic search. These included 19 cross-sectional, 2 longitudinal and 1 qualitative studies, all published after 2011. Half of the studies were European. The study quality was generally high with a median of 82 % (IQR 69-96 %) using Qualsyst tool. Personal factors were the most frequently investigated with consistent positive association for age, negative for retirement, obesity and health status. Only four studies considered environmental determinants suggesting possible association with mode of transport, type of housing, cultural opportunities and neighbourhood safety and availability of places to rest. Only two studies investigated mediating factors. Very limited information was available on contexts and sub-domains of sedentary behaviours.

Conclusion: Few studies have investigated determinants of sedentary behaviour in older adults and these have to date mostly focussed on personal factors, and qualitative studies were mostly lacking. More longitudinal studies are needed as well as inclusion of a broader range of personal and contextual potential determinants towards a systems-based approach, and future studies should be more informed by qualitative work.

Citing Articles

Sedentary Behaviour and Its Correlates Among Older Adults in Malaysia.

Kee C, Tan L, Cheah Y, Teh C, Lim H, Cheong Y Healthcare (Basel). 2025; 13(2).

PMID: 39857187 PMC: 11765283. DOI: 10.3390/healthcare13020160.


Digital Health Interventions to Promote Physical Activity in Community-Dwelling Older Adults: A Systematic Review and Semiquantitative Analysis.

Di Pumpo M, Miatton A, Riccardi M, Graps E, Baldo V, Buja A Int J Public Health. 2025; 69():1607720.

PMID: 39830161 PMC: 11738617. DOI: 10.3389/ijph.2024.1607720.


Automatic approach-avoidance tendency toward physical activity, sedentary, and neutral stimuli as a function of age, explicit affective attitude, and intention to be active.

Farajzadeh A, Goubran M, Beehler A, Cherkaoui N, Morrison P, de Chanaleilles M Peer Community J. 2024; 3.

PMID: 39659553 PMC: 7617180. DOI: 10.24072/pcjournal.246.


Longitudinal trends in physical activity levels and lifetime cardiovascular disease risk: insights from the ATTICA cohort study (2002-2022).

Dimitriadis N, Tsiampalis T, Arnaoutis G, Tambalis K, Damigou E, Chrysohoou C J Prev Med Hyg. 2024; 65(2):E134-E144.

PMID: 39430987 PMC: 11487729. DOI: 10.15167/2421-4248/jpmh2024.65.2.3243.


Resistance Exercise Participation in Community-Dwelling Older Adults in Korea: Associated Factors and Sex Differences.

Mun S, Choi B, Lee J, Kim Y J Clin Med. 2024; 13(19).

PMID: 39407959 PMC: 11477624. DOI: 10.3390/jcm13195900.


References
1.
Ekelund U, Brage S, Besson H, Sharp S, Wareham N . Time spent being sedentary and weight gain in healthy adults: reverse or bidirectional causality?. Am J Clin Nutr. 2008; 88(3):612-7. DOI: 10.1093/ajcn/88.3.612. View

2.
Ishii K, Shibata A, Oka K . Sociodemographic and anthropometric factors associated with screen-based sedentary behavior among Japanese adults: a population-based cross-sectional study. J Epidemiol. 2013; 23(5):382-8. PMC: 3775533. DOI: 10.2188/jea.je20130008. View

3.
Lakerveld J, van der Ploeg H, Kroeze W, Ahrens W, Allais O, Andersen L . Towards the integration and development of a cross-European research network and infrastructure: the DEterminants of DIet and Physical ACtivity (DEDIPAC) Knowledge Hub. Int J Behav Nutr Phys Act. 2015; 11:143. PMC: 4245771. DOI: 10.1186/s12966-014-0143-7. View

4.
Celis-Morales C, Perez-Bravo F, Ibanez L, Salas C, Bailey M, Gill J . Objective vs. self-reported physical activity and sedentary time: effects of measurement method on relationships with risk biomarkers. PLoS One. 2012; 7(5):e36345. PMC: 3348936. DOI: 10.1371/journal.pone.0036345. View

5.
Van Dyck D, Cardon G, Deforche B, De Bourdeaudhuij I . The contribution of former work-related activity levels to predict physical activity and sedentary time during early retirement: moderating role of educational level and physical functioning. PLoS One. 2015; 10(3):e0122522. PMC: 4380316. DOI: 10.1371/journal.pone.0122522. View