Cited by 38Aging and Gerontology ResearchRecreation, Leisure, Wilderness ManagementAging, Health, and Disability

An Instrument to Measure Engagement in Life: Factor Analysis and Associations with Sociodemographic, Health and Cognition Measures

Parslow, Ruth A., Jorm, Anthony F., Christensen, Helen, Mackinnon, Andrew·2006·Gerontology

Abstract

BACKGROUND: It has been proposed that active engagement with life may protect against cognitive decline. However, existing instruments for measuring life engagement have covered limited domains. OBJECTIVE: To present a new instrument to measure engagement with life; the RIASEC Activities List draws on activities categorised according to interest categories previously developed by Holland: Realistic, Investigative, Artistic, Social, Enterprising and Conventional (RIASEC). METHODS: Participants in a longitudinal, community-based survey were drawn from 3 age groups: 2,404 participants aged 20-24; 2,530 aged 40-44, and 2,551 aged 60-64 years. They provided information on which of 54 selected activities they had performed in the 6 months prior to their survey interview. Other information obtained from participants included measures of sociodemographic characteristics, personality attributes and mental and physical health. Two measures of cognition were also examined. Analyses were conducted separately for men and women in each of the 3 age groups. RESULTS: Confirmatory factor analyses identified six scales of activity types corresponding to Holland's six interest categories. The number of activities of any type undertaken in the past 6 months was significantly associated with cognitive measures, better physical health, and better mental health although these findings varied for men and women across the 3 age groups. Further, for both men and women in all age groups, performing activities of any type was associated with having higher extraversion and mastery scores, and lower levels of neuroticism. Associations were also found between performing specific types of activities and cognitive measures. CONCLUSIONS: This instrument has the potential to identify more clearly types of activities that may offer cognitive benefits and warrants further testing in longitudinal studies.

Integrity signals

Registry

Crossref · 10.1159/000091829

Cites

26 of 26 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

We couldn’t retrieve this paper’s full text, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • Variability in the ways activity and 'engagement in life' are operationalised and measured makes interpretation of the literature problematic.

    “Variability in the ways activity and 'engagement in life ' are operationalised and measured makes interpretation of the literature problematic (Mendes de Leon 2005; Parslow et al. 2006 ;Ritchey, Ritchey and Diaz 2001).”

Cites

Flagged first, then by citations

Cited by

Sorted by citations

Authors
Parslow, R. A., Jorm, A. F., Christensen, H., & Mackinnon, A.
Affiliations
  • The University of Melbourne (AU)
  • Australian National University (AU)
Venue
Gerontology
Publisher
S. Karger AG
Published
2006
Volume
52
Issue
3
Pages
188-198
ISSN
  • 0304-324X (ISSN-L)
  • 1423-0003
OpenAlex
W2024998389
Cited by
37
References
26
Citations by year
2024: 1 · 2023: 2 · 2022: 2 · 2021: 3 · 2019: 2 · 2018: 2 · 2017: 2 · 2016: 2 · 2015: 4 · 2014: 2 · 2013: 2 · 2012: 2
FWCI
1.26
Type
journal article
Language
en
Open access
closed
Locations
  • Gerontology (publishedVersion)
  • PubMed (publishedVersion)
  • ANU Open Research (Australian National University) (submittedVersion)
Topics
  • Social Sciences › Psychology › Neuropsychology and Physiological Psychology › Aging and Gerontology Research
  • Social Sciences › Psychology › Social Psychology › Recreation, Leisure, Wilderness Management
  • Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Aging, Health, and Disability
Keywords
life engagement, cognitive decline, cognitive function, physical health, mental health, personality traits, extraversion, neuroticism, mastery, activities of daily living, older adults, young adults, sex differences
MeSH terms
Adult, Age Factors, Exploratory Behavior, Factor Analysis, Statistical, Female, Health Status, Health Surveys, Humans, Human Activities, Life Style, Longitudinal Studies, Male, Mental Processes, Middle Aged, Personality, Social Behavior

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review