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Open AccessJournal ArticleDOI

Health behavior change following chronic illness in middle and later life

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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Health professionals' provision of lifestyle advice in the oncology context in the United Kingdom

TL;DR: Improved survivorship education for health professionals may increase the number of patients receiving lifestyle advice, and improve their long-term outcomes.
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Persistent long-standing illness and non-drinking over time, implications for the use of lifetime abstainers as a control group

TL;DR: Persistent LSI was associated with remaining a non-drinker across adulthood, and studies comparing the health outcomes of moderate drinkers to lifetime abstainers that do not account for pre-existing poor health may overestimate the better health outcomes from moderate alcohol consumption.
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Secular trends in smoking in relation to prevalent and incident smoking-related disease: A prospective population-based study.

TL;DR: Special focus on smokers with COPD, asthma, diabetes, stroke and ischemic heart disease/heart failure is warranted to decrease smoking prevalence in these groups, according to prevalence and incidence of chronic diseases affected by smoking.
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Alcohol intake and brain structure in a multiethnic elderly cohort

TL;DR: It is suggested that among older adults in the community, light-to-moderate alcohol intake, in particular wine, is associated with larger TBV, and light to moderate alcohol consumption is potentially beneficial for brain aging.
Journal ArticleDOI

Smoking and cardiac rehabilitation participation: Associations with referral, attendance and adherence.

TL;DR: In summary, a history of smoking was associated with an increased likelihood of referral to CR, however, smoking status also predicted not attending CR and was a strong predictor of CR dropout.
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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