Literature DB >> 3116578

Persistence of personal health practices over a 1-year period.

W Rakowski1.   

Abstract

A large amount of research has been devoted to identifying the psychosocial and demographic correlates of personal preventive health practices. An additional factor to consider, however, is the stability of personal health practices over time. At least over short periods, the prediction of current behavior may be substantially improved by having information about an individual's previous performance of the practice being studied. To address this question, data from Wave 1 (1979) and Wave 2 (1980) of the National Survey of Personal Health Practices were examined. Using nine health practices as indices, performance reported at Wave 1 was used to predict performance of that same practice as reported at Wave 2, 1 year later. A two-step analysis strategy was followed to estimate how much more variance could be explained when the behavioral reports were added to a list of psychosocial and demographic predictors. Results showed that over the 1-year interval, the Wave 1 behavioral reports were by far the strongest predictors of their corresponding measures obtained at Wave 2. The explained variance was increased substantially for most of the nine health practices, suggesting a strong tendency for persistence of the practices. Psychosocial and demographic variables tended to account for much smaller amounts of variance and often dropped out of the prediction equation when the Wave 1 behavior report was entered in the second step of analysis. Health practices other than the corresponding Wave 1 index did not improve prediction of the Wave 2 index greatly. The tendency for previous behavior to persist may overshadow the influence of other factors and account for the modest amounts of explained variance that are usually found for psychosocial and demographic indices in cross-sectional surveys. Although stability does not imply rigidity or impossibility of change, the strength of prediction found in these data attest to the "force of habit" that community interventions can encounter.

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Year:  1987        PMID: 3116578      PMCID: PMC1477897     

Source DB:  PubMed          Journal:  Public Health Rep        ISSN: 0033-3549            Impact factor:   2.792


  15 in total

1.  Social networks, health beliefs, and preventive health behavior.

Authors:  J K Langlie
Journal:  J Health Soc Behav       Date:  1977-09

2.  Interrelationship of preventive actions in health and other areas.

Authors:  A F Williams; H Wechsler
Journal:  Health Serv Rep       Date:  1972-12

3.  Age differences in the use of medical care in an HMO. An application of the behavioral model.

Authors:  J H Hibbard; C R Pope
Journal:  Med Care       Date:  1986-01       Impact factor: 2.983

4.  Levels of gamma-glutamyltranspeptidase in cultured skin fibroblasts from cystinotics and normals.

Authors:  B States; S Segal
Journal:  Life Sci       Date:  1980-11-24       Impact factor: 5.037

5.  Evaluating community-based preventive cardiovascular programs: problems and experiences from the North Karelia project.

Authors:  P Puska; J T Salonen; J Tuomilehto; A Nissinen; T E Kottke
Journal:  J Community Health       Date:  1983

Review 6.  Racial differences in illness behavior.

Authors:  F D Wolinsky
Journal:  J Community Health       Date:  1982

7.  The primary prevention of high blood pressure: a population approach.

Authors:  H Blackburn; R Grimm; R V Luepker; M Mittelmark
Journal:  Prev Med       Date:  1985-07       Impact factor: 4.018

8.  Factors associated with the maintenance of positive health behavior.

Authors:  D Mechanic; P D Cleary
Journal:  Prev Med       Date:  1980-11       Impact factor: 4.018

9.  The Stanford Five-City Project: design and methods.

Authors:  J W Farquhar; S P Fortmann; N Maccoby; W L Haskell; P T Williams; J A Flora; C B Taylor; B W Brown; D S Solomon; S B Hulley
Journal:  Am J Epidemiol       Date:  1985-08       Impact factor: 4.897

10.  The marked decline in coronary heart disease mortality rates in the United States, 1968-1981; summary of findings and possible explanations.

Authors:  J Stamler
Journal:  Cardiology       Date:  1985       Impact factor: 1.869

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  1 in total

1.  Predictors of health practices within age-sex groups: National Survey of Personal Health Practices and Consequences, 1979.

Authors:  W Rakowski
Journal:  Public Health Rep       Date:  1988 Jul-Aug       Impact factor: 2.792

  1 in total

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