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The effects of gender and age on health related behaviors
Open accessAbstract
BACKGROUND: Lifestyle-related diseases, including diabetes, cardiovascular disease, and some cancers represent the greatest global health threat. Greater insight into health needs and beliefs, using broad community samples, is vital to reduce the burden of chronic disease. This study aimed to investigate gender, age, screening practices, health beliefs, and perceived future health needs for healthy ageing. METHODS: Random probability sampling using self-completion surveys in 1456 adults residing in Australia. RESULTS: Screening behaviors were associated with gender and age. Men and women >51 years were more likely (27%) to have screening health checks than those <50 years (2%). Factors nominated to influence health were lifestyle (92%), relationships (82%), and environment (80%). Women were more likely to nominate preparedness to have an annual health check, willingness to seek advice from their medical practitioner and to attend education sessions. Numerous health fears were associated with ageing, however participants were more likely to have a financial (72%) rather than a health plan (42%). More women and participants >51 years wanted information regarding illness prevention than men or those aged <30 years. CONCLUSION: Age and gender are associated with health related behaviors. Optimal health is perceived as a priority, yet often this perception is not translated into preventative action. These findings will inform future research and policy makers as we strive towards a healthier ageing society and the prevention of chronic disease.
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“It is clear that age is one of the determinants of health, and, in general, age and gender are identified as powerful determinants of health behaviors (Deeks, Lombard, Michelmore, & Teede, 2009; WHO, 2003).”
From Health From a Gender Perspective (2017) · cites this paper as Deeks, Lombard, Michelmore, & Teede, 2009
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“It is clear that age is one of the determinants of health, and, in general, age and gender are identified as powerful determinants of health behaviors (Deeks, Lombard, Michelmore, & Teede, 2009; WHO, 2003).”
From Health From a Gender Perspective (2017) · cites this paper as Deeks, Lombard, Michelmore, & Teede, 2009
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Metadata
- Authors
- Deeks, A., Lombard, C., Michelmore, J., & Teede, H.
- Affiliations
- Jean Hailes (AU)
- Corresponding author
- Deeks, Amanda
- Venue
- BMC Public Health
- Published
- 2009-06-30
- Volume
- 9
- Issue
- 1
- Pages
- 213-213
- ISSN
- 1471-2458 (ISSN-L)
- PMC
- PMC2713232
- OpenAlex
- W1995984331
- Cited by
- 367
- References
- 28
- Citations by year
- 2026: 23 · 2025: 50 · 2024: 37 · 2023: 34 · 2022: 33 · 2021: 33 · 2020: 27 · 2019: 23 · 2018: 11 · 2017: 17 · 2016: 17 · 2015: 18 · 2014: 15 · 2013: 6 · 2012: 10
- FWCI
- 7.40
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- BMC Public Health (publishedVersion, cc-by)
- Europe PMC (PubMed Central) (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion)
- Funders
- Pfizer Australia
- Topics
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Health Promotion and Cardiovascular Prevention
- Health Sciences › Health Professions › General Health Professions › Health and Wellbeing Research
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Health and Medical Studies
- Keywords
- healthy aging, gender differences, age differences, health beliefs, fear of illness, disease prevention, chronic disease prevention, lifestyle-related diseases, health information needs, Australian adults
- MeSH terms
- Adult, Age Factors, Aged, Australia, Data Collection, Female, Humans, Health Knowledge, Attitudes, Practice, Life Style, Male, Middle Aged, Preventive Health Services, Sex Factors, Health 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 ›
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