Lifestyle health behavior correlates of intuitive eating in a population-based sample of men and women

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2 Scopus citations

Abstract

The aim of this observational study was to examine how lifestyle health behaviors hypothesized to influence attunement to internal cues (breakfast consumption frequency, physical activity, yoga practice, sleep, and recreational screen time) are cross-sectionally related to intuitive eating (IE). Data from 765 men and 1009 women (Mage = 31.1 ± 1.7 years) who participated in Project EAT-IV (Eating and Activity in Teens and Young Adults) were analyzed with sex-stratified linear regression models adjusted for age, race/ethnicity, socioeconomic background, and parent status. Sociodemographic-adjusted mean levels of each health behavior by sex were generated at low (one standard deviation below the mean), average (at the mean), and high (one standard deviation above the mean) levels of IE to facilitate interpretation of regression results. Among women only, more frequent breakfast consumption (p = .02), more time spent practicing yoga (p = .03), more sleep (p = .004), and less recreational screen time (p = .01) were each significantly associated with higher IE after adjusting for sociodemographic characteristics. Compared to women with low IE, women with high IE reported, on average, eating breakfast 0.3 more days a week, practicing 12 more minutes of yoga per week, getting 12 more minutes of sleep per night, and engaging in 18 fewer minutes of recreational screen time per day. Results suggest that these modifiable health behaviors may be valuable targets for interventions to increase IE among women, though longitudinal research is needed to elucidate the temporality of these associations.

Original languageEnglish (US)
Article number101644
JournalEating Behaviors
Volume46
DOIs
StatePublished - Aug 2022

Bibliographical note

Publisher Copyright:
© 2022 Elsevier Ltd

Keywords

  • Health behaviors
  • Intuitive eating
  • Physical activity
  • Screen time
  • Sleep
  • Yoga

PubMed: MeSH publication types

  • Journal Article
  • Observational Study
  • Research Support, N.I.H., Extramural

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