title: The effects of gender and age on health related behaviors.
abstract: 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.
  
  
  CONCLUSIONS
  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.
authors: The Jean Hailes Foundation for Women's Health Research Unit, Monash Institute of Health Services Research, Kanooka Grove, Clayton, Victoria, Australia. Amanda.Deeks@med.monash.edu.au
authors: Amanda
authors: A
authors: Deeks
authors: Catherine
authors: C
authors: Lombard
authors: Janet
authors: J
authors: Michelmore
authors: Helena
authors: H
authors: Teede
mesh_terms: D000328:Adult; D000367:Age Factors; D000368:Aged; D001315:Australia; D003625:Data Collection; D005260:Female; D015438:Health Behavior; D007722:Health Knowledge, Attitudes, Practice; D006801:Humans; D008019:Life Style; D008297:Male; D008875:Middle Aged; D011314:Preventive Health Services / Q000706:statistics & numerical data; D012737:Sex Factors