Literature DB >> 16903613

Age group and health status effects on health behavior change.

Faika A K Zanjani1, K Warner Schaie, Sherry L Willis.   

Abstract

The authors explored health behavior change during 5 years, considering age/cohort, health status, and gender effects. The authors divided the sample (n = 1,064) into 4 age/cohort groups: young adults (n = 139; 19-42 years), middle-aged adults (n = 386; 43-62 years), young-old adults (n = 296; 63-72 years), and old-old adults (n = 243; 73+ years) and health status: cardiovascular disease and physical disability. Smoking and seat belt behaviors remained stable, whereas alcohol, food consumption, food preparation, physical activity, dental, and medical behaviors showed change. Change in health behaviors differed by age/cohort group and health status for food consumption, food preparation, and medical care, primarily showing negative change for old-old adults and positive change for individuals with cardiovascular disease. Health behavior interventions need to focus on the old-old, individuals with physical disability, and on smoking and seat belt use. These specific populations and behaviors need to be targeted to promote positive health behavior change, to limit future onsets of disability and morbidity, and to prevent the occurrence of premature death.

Entities:  

Mesh:

Year:  2006        PMID: 16903613     DOI: 10.3200/BMED.32.2.36-46

Source DB:  PubMed          Journal:  Behav Med        ISSN: 0896-4289            Impact factor:   3.104


  13 in total

1.  Timing of impairment and health-promoting lifestyles in women with disabilities.

Authors:  Tracie C Harrison; Deborah Umberson; Li-Chen Lin; Hsiu-Rong Cheng; Hsui-Rong Cheng
Journal:  Qual Health Res       Date:  2010-03-05

2.  Alcohol use patterns and trajectories of health-related quality of life in middle-aged and older adults: a 14-year population-based study.

Authors:  Mark S Kaplan; Nathalie Huguet; David Feeny; Bentson H McFarland; Raul Caetano; Julie Bernier; Norman Giesbrecht; Lisa Oliver; Nancy Ross
Journal:  J Stud Alcohol Drugs       Date:  2012-07       Impact factor: 2.582

3.  Health Behaviors in Rural Appalachia.

Authors:  Aasha I Hoogland; Charles E Hoogland; Shoshana H Bardach; Yelena N Tarasenko; Nancy E Schoenberg
Journal:  South Med J       Date:  2019-08       Impact factor: 0.954

4.  Health behavior risk factors across age as predictors of cardiovascular disease diagnosis.

Authors:  Michelle Cardi; Niki Munk; Faika Zanjani; Tina Kruger; K Warner Schaie; Sherry L Willis
Journal:  J Aging Health       Date:  2009-06-10

5.  Are economic recessions at the time of leaving school associated with worse physical functioning in later life?

Authors:  Philipp Hessel; Mauricio Avendano
Journal:  Ann Epidemiol       Date:  2013-09-16       Impact factor: 6.996

6.  Association between Overall Lifestyle Changes and the Incidence of Proteinuria: A Population-based, Cohort Study.

Authors:  Minako Wakasugi; Junichiro Kazama; Ichiei Narita; Kunitoshi Iseki; Shouichi Fujimoto; Toshiki Moriyama; Kunihiro Yamagata; Tsuneo Konta; Kazuhiko Tsuruya; Koichi Asahi; Masahide Kondo; Issei Kurahashi; Yasuo Ohashi; Kenjiro Kimura; Tsuyoshi Watanabe
Journal:  Intern Med       Date:  2017-06-15       Impact factor: 1.271

7.  Racial/ethnic, gender, and age group differences in cardiometabolic risks among adults in a Northern California health plan: a cross-sectional study.

Authors:  Nancy P Gordon; Loretta Hsueh
Journal:  BMC Public Health       Date:  2021-06-25       Impact factor: 3.295

8.  Lipid peroxidation and depressed mood in community-dwelling older men and women.

Authors:  Yuri Milaneschi; Matteo Cesari; Eleanor M Simonsick; Nicole Vogelzangs; Alka M Kanaya; Kristine Yaffe; Paola Patrignani; Andrea Metti; Stephen B Kritchevsky; Marco Pahor; Luigi Ferrucci; Brenda W J H Penninx
Journal:  PLoS One       Date:  2013-06-11       Impact factor: 3.240

9.  The relationship of tobacco and alcohol use with ageing self-perceptions in older people in Ireland.

Authors:  Amanda Villiers-Tuthill; Antoinette Copley; Hannah McGee; Karen Morgan
Journal:  BMC Public Health       Date:  2016-07-22       Impact factor: 3.295

10.  Understanding the Positive Associations of Sleep, Physical Activity, Fruit and Vegetable Intake as Predictors of Quality of Life and Subjective Health Across Age Groups: A Theory Based, Cross-Sectional Web-Based Study.

Authors:  Shu Ling Tan; Vera Storm; Dominique A Reinwand; Julian Wienert; Hein de Vries; Sonia Lippke
Journal:  Front Psychol       Date:  2018-06-18
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