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Stability in health behavior patterns in middle adulthood: a 19-year follow-up study.

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Title: Stability in health behavior patterns in middle adulthood: a 19-year follow-up study.
Authors: Ahola, Johanna, Kekäläinen, Tiia, Kinnunen, Marja-Liisa, Tolvanen, Asko, Pitkänen, Tuuli, Pulkkinen, Lea, Saajanaho, Milla, Kokko, Katja
Source: Psychology & Health. Aug2025, Vol. 40 Issue 8, p1282-1302. 21p.
Subjects: Self-evaluation, Scale analysis (Psychology), Lifestyles, Research funding, Cronbach's alpha, T-test (Statistics), Smoking, Logistic regression analysis, Statistical sampling, Questionnaires, Sex distribution, Structural equation modeling, Descriptive statistics, Disease prevalence, Longitudinal method, Odds ratio, Health behavior, Personality, Non-smokers, Marital status, Sociodemographic factors, Alcohol drinking, Personality tests, Data analysis software, Conscience, Confidence intervals, Physical activity, Employment, Educational attainment, Neuroses, Adults, Middle age
Geographic Terms: Finland
Abstract: Objective: This study investigated subgroups of adults with particular health behavior patterns, their stability over 19 years, and the role of sociodemographic and personality characteristics in these. Methods and Measures: Data on smoking, alcohol consumption, and physical activity were collected at ages 42, 50, and 61 in the Jyväskylä Longitudinal Study of Personality and Social Development (n = 205–302). Latent class, latent transition, and logistic regression analyses were used. Results: Four similar classes of health behaviors were identified at each age. A class named low alcohol consumption (AC)–high physical activity (PA) included individuals with the lowest levels of alcohol consumption and the highest levels of physical activity, and a class named high AC–low PA vice versa. Classes between these extremes of alcohol consumption and physical activity levels were nonsmokers with the lowest proportion of smokers, and smokers vice versa. Although transitions emerged, class memberships were relatively stable. Women, those who were married, held a degree, had higher occupational status, and certain personality traits at age 42 were more likely to belong continuously to healthier classes compared to a stable membership in high AC–low PA. Conclusion: Health behaviors exist in patterns, are relatively stable across adulthood, and associated with sociodemographic and personality characteristics. [ABSTRACT FROM AUTHOR]
Copyright of Psychology & Health is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Psychology and Behavioral Sciences Collection
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  Data: Stability in health behavior patterns in middle adulthood: a 19-year follow-up study.
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  Data: Objective: This study investigated subgroups of adults with particular health behavior patterns, their stability over 19 years, and the role of sociodemographic and personality characteristics in these. Methods and Measures: Data on smoking, alcohol consumption, and physical activity were collected at ages 42, 50, and 61 in the Jyväskylä Longitudinal Study of Personality and Social Development (n = 205–302). Latent class, latent transition, and logistic regression analyses were used. Results: Four similar classes of health behaviors were identified at each age. A class named low alcohol consumption (AC)–high physical activity (PA) included individuals with the lowest levels of alcohol consumption and the highest levels of physical activity, and a class named high AC–low PA vice versa. Classes between these extremes of alcohol consumption and physical activity levels were nonsmokers with the lowest proportion of smokers, and smokers vice versa. Although transitions emerged, class memberships were relatively stable. Women, those who were married, held a degree, had higher occupational status, and certain personality traits at age 42 were more likely to belong continuously to healthier classes compared to a stable membership in high AC–low PA. Conclusion: Health behaviors exist in patterns, are relatively stable across adulthood, and associated with sociodemographic and personality characteristics. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Psychology & Health is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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RecordInfo BibRecord:
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    Identifiers:
      – Type: doi
        Value: 10.1080/08870446.2024.2316676
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      – Code: eng
        Text: English
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      Pagination:
        PageCount: 21
        StartPage: 1282
    Subjects:
      – SubjectFull: Self-evaluation
        Type: general
      – SubjectFull: Scale analysis (Psychology)
        Type: general
      – SubjectFull: Lifestyles
        Type: general
      – SubjectFull: Research funding
        Type: general
      – SubjectFull: Cronbach's alpha
        Type: general
      – SubjectFull: T-test (Statistics)
        Type: general
      – SubjectFull: Smoking
        Type: general
      – SubjectFull: Logistic regression analysis
        Type: general
      – SubjectFull: Statistical sampling
        Type: general
      – SubjectFull: Questionnaires
        Type: general
      – SubjectFull: Sex distribution
        Type: general
      – SubjectFull: Structural equation modeling
        Type: general
      – SubjectFull: Descriptive statistics
        Type: general
      – SubjectFull: Disease prevalence
        Type: general
      – SubjectFull: Longitudinal method
        Type: general
      – SubjectFull: Odds ratio
        Type: general
      – SubjectFull: Health behavior
        Type: general
      – SubjectFull: Personality
        Type: general
      – SubjectFull: Non-smokers
        Type: general
      – SubjectFull: Marital status
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      – SubjectFull: Sociodemographic factors
        Type: general
      – SubjectFull: Alcohol drinking
        Type: general
      – SubjectFull: Personality tests
        Type: general
      – SubjectFull: Data analysis software
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      – SubjectFull: Conscience
        Type: general
      – SubjectFull: Confidence intervals
        Type: general
      – SubjectFull: Physical activity
        Type: general
      – SubjectFull: Employment
        Type: general
      – SubjectFull: Educational attainment
        Type: general
      – SubjectFull: Neuroses
        Type: general
      – SubjectFull: Adults
        Type: general
      – SubjectFull: Middle age
        Type: general
      – SubjectFull: Finland
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              Text: Aug2025
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