rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: Clustering of health-related behaviors
    sub title: examining the co-occurrence of dieting and other risky behaviors among girls using secondary data from the COMPASS study
  name:
    name part: Raffoul, Amanda
    role:
      role term: creator
    role:
      role term: author.
  name:
    name part: Kirkpatrick, Sharon I.
    role:
      role term: author.
  type of resource: text
  genre: bibliography
  genre: Case studies.
  origin info:
    place:
      place term: enk
    date issued: 2020
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: remote
    extent: 1 online resource : illustrations.
  abstract: Engagement in health-related behaviors is highly complex and influenced by a multitude of individual- and environmental-level factors. In addition, health-related behaviors tend to co-occur, or cluster, which adds to their complexity and presents challenges for health promotion and public health prevention efforts that may affect interrelated behaviors in different ways. This case study describes research exploring clustering of dieting with other health-compromising behaviors among adolescent girls. Dieting is of interest because it is highly prevalent among this population and has negative implications for physical and mental health, with prior evidence suggesting that it heightens risk of engaging in other risky behaviors. Drawing upon secondary data from the Cohort study on Obesity, Marijuana use, Physical activity, Alcohol use, Smoking, and Sedentary behavior (COMPASS), a Canadian school-based study, we examined cross-sectional and longitudinal associations between dieting and clusters of other behaviors, including smoking, binge drinking, and breakfast-skipping. The design of the study and the strengths and limitations of projects leveraging secondary data are detailed. Subsequently, we describe the process of selecting variables of interest, finalizing the analytic sample, operationalizing the variables and specifying regression models, and interpreting the results. Challenges encountered in planning and conducting this research are highlighted to inform similar projects. This case provides a unique demonstration of how health-related behavioral clusters can be explored, providing a foundation to deepen our understanding of the complexity of health behaviors and the implications of this complexity for efforts to support health.
  target audience: specialized
  note: Amanda Raffoul, Sharon I. Kirkpatrick.
  note: Includes bibliographical references and index.
  subject:
    topic: Health behavior
    genre: Case studies
  subject:
    topic: Reducing diets
    genre: Case studies
  subject:
    topic: Girls
    topic: Health and hygiene
    genre: Case studies
  subject:
    topic: Habitudes sanitaires
    genre: Études de cas
  subject:
    topic: Régimes amaigrissants
    genre: Études de cas
  subject:
    topic: Filles
    topic: Santé et hygiène
    genre: Études de cas
  subject:
    topic: Girls
    topic: Health and hygiene
  subject:
    topic: Health behavior
  subject:
    topic: Reducing diets
  classification: RA776.9 .R34 2020
  classification: 613
  related item:
    title info:
      title: SAGE Research Methods Cases: Medicine and Health
  identifier: 9781529711172
  identifier: 1529711177
  identifier: http://proxy.library.tamu.edu/login
  record info:
    record content source: SGPBL
    record creation date: 200123
    record change date: 20240923170124.1
    record identifier: in00005492729
    language of cataloging:
      language term: eng