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Health behavior change following chronic illness in middle and later life

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TLDR
Results provide important new information on health behavior changes among those with chronic disease and suggest that intensive efforts are required to help initiate and maintain lifestyle improvements among this population.
Abstract
Objectives Understanding lifestyle improvements among individuals with chronic illness is vital for targeting interventions that can increase longevity and improve quality of life. Methods Data from the U.S. Health and Retirement Study were used to examine changes in smoking, alcohol use, and exercise 2-14 years after a diagnosis of heart disease, diabetes, cancer, stroke, or lung disease. Results Patterns of behavior change following diagnosis indicated that the vast majority of individuals diagnosed with a new chronic condition did not adopt healthier behaviors. Smoking cessation among those with heart disease was the largest observed change, but only 40% of smokers quit. There were no significant increases in exercise for any health condition. Changes in alcohol consumption were small, with significant declines in excessive drinking and increases in abstention for a few health conditions. Over the long term, individuals who made changes appeared to maintain those changes. Latent growth curve analyses up to 14 years after diagnosis showed no average long-term improvement in health behaviors. Discussion Results provide important new information on health behavior changes among those with chronic disease and suggest that intensive efforts are required to help initiate and maintain lifestyle improvements among this population.

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Citations
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Journal ArticleDOI

Capitalizing on the “teachable moment” to promote healthy dietary changes among cancer survivors: the perspectives of health care providers

TL;DR: Health care providers can play an important role in promoting healthy diet among cancer survivors as the evidence base around diet and cancer recurrence/prognosis grows, it is important that information is communicated to providers.
Journal ArticleDOI

Worsening of health and a cessation or reduction in alcohol consumption to special occasion drinking across three decades of the life course.

TL;DR: Developing an LLI was associated with a cessation in alcohol consumption and a reduction in consumption to special occasion drinking from early adulthood, and persistent drinkers who drank at least till 50 were the healthiest overall.
Journal ArticleDOI

Predictors of Health Behavior Change After an Integrative Medicine Inpatient Program

TL;DR: Health behavior change after an integrative medicine inpatient program was predicted by self-efficacy, stage of change, and health locus of control, and considering these aspects might improve adherence to health-promoting behavior after lifestyle modification programs.
Journal ArticleDOI

Future Directions in the Study of Health Behavior among Older Adults.

Jochen P. Ziegelmann, +1 more
- 01 Jan 2015 - 
TL;DR: A broad perspective is used for the definition of health behaviors to capture all relevant aspects of health-behavior change in older adults and a distinction between proximal and distal health behaviors is suggested.
Journal ArticleDOI

Prevalence of Concomitant Use of Alcohol and Sedative-Hypnotic Drugs in Middle and Older Aged Persons: A Systematic Review

TL;DR: A higher prevalence of alcohol consumption among middle-aged than older persons is identified, however,middle-aged persons may experience harm from alcohol/sedative-hypnotic drug interactions due to risky drinking behavior, and older persons may be more susceptible to addictive central nervous system effects than younger persons.
References
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Book

Statistical Analysis with Missing Data

TL;DR: This work states that maximum Likelihood for General Patterns of Missing Data: Introduction and Theory with Ignorable Nonresponse and large-Sample Inference Based on Maximum Likelihood Estimates is likely to be high.
Book

Predicting and Changing Behavior: The Reasoned Action Approach

TL;DR: The reasoned action approach as mentioned in this paper is an integrative framework for the prediction and change of human social behavior, and it provides methodological and conceptual tools for predicting and explaining social behavior and for designing behavior change interventions.
MonographDOI

Categorical data analysis

TL;DR: In this article, the authors present a generalized linear model for categorical data, which is based on the Logit model, and use it to fit Logistic Regression models.
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