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Investigating context-specific sedentary behaviours and cardiometabolic health in college-based young adults (CONTEXT-SB): a protocol for a longitudinal observational study

  • Jake Christopher Diana
  • , Aiden James Chauntry
  • , Emma Cowley
  • , Craig Paterson
  • , Jeb F Struder
  • , Patricia Pagan-Lassalle
  • , Michelle L Meyer
  • , Feng-Chang Lin
  • , Justin B Moore
  • , Erik D Hanson*
  • , Lee Stoner
  • *Corresponding author for this work

Research output: Contribution to journalArticle (Academic Journal)peer-review

4 Citations (Scopus)

Abstract

Background:
Sedentary behaviour (SB) is detrimental to cardiometabolic disease (CMD) risk, which can begin in young adulthood. To devise effective SB-CMD interventions in young adults, it is important to understand which context-specific SB (CS-SB) are most detrimental for CMD risk, the lifestyle behaviours that cluster with CS-SBs and the socioecological predictors of CS-SB.

Methods and analysis:
This longitudinal observational study will recruit 500 college-aged (18–24 years) individuals. Two laboratory visits will occur, spaced 12 months apart, where a novel composite CMD risk score (eg, arterial stiffness, metabolic and inflammatory biomarkers, heart rate variability and body fat distribution) will be calculated, and questionnaires to measure lifestyle behaviours and levels of the socioecological model will be administered. After each laboratory visit, total SB (activPAL) and CS-SB (television, transportation, academic/occupational, leisure computer, ‘other’; ecological momentary assessment) will be measured across 7 days.

Ethics and dissemination:
This study has received full ethical approval, and participants provide written informed consent. Our hypothesis is that certain CS-SB will show stronger associations with CMD risk, compared with total sedentary behaviour (T-SB), even after accounting for coexisting lifestyle behaviours. We also expect a range of intra-individual, inter-individual and physical environmental socioecological factors will predict CS-SB. Findings addressing both the primary and any secondary research aims will be submitted for publication in a high-impact peer-reviewed journal.
Original languageEnglish
Article numbere096116
Number of pages10
JournalBMJ Open
Volume14
Issue number12
Early online date27 Dec 2024
DOIs
Publication statusPublished - 27 Dec 2024

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • Physiology
  • Observational Study
  • Behavior
  • Cardiovascular Disease
  • PUBLIC HEALTH
  • Physical Fitness

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