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Persistent, High Levels of Social Jetlag Predict Poor Weight Outcomes in a Weight Gain Prevention Study for Young adults.
Hayes, Jacqueline F; Schumacher, Leah M; Lanoye, Autumn; LaRose, Jessica Gokee; Tate, Deborah F; Espeland, Mark A; Gorin, Amy A; Lewis, Cora E; Jelalian, Elissa; Wing, Rena R.
Afiliação
  • Hayes JF; Warren Alpert Medical School of Brown University, Providence, Rhode Island, USA. Jacqueline_hayes@brown.edu.
  • Schumacher LM; Weight Control and Diabetes Research Center, The Miriam Hospital, Providence, Rhode Island, USA. Jacqueline_hayes@brown.edu.
  • Lanoye A; Warren Alpert Medical School of Brown University, Providence, Rhode Island, USA.
  • LaRose JG; Weight Control and Diabetes Research Center, The Miriam Hospital, Providence, Rhode Island, USA.
  • Tate DF; Department of Health Behavior and Policy, Virginia Commonwealth University School of Medicine, Richmond, Virginia, USA.
  • Espeland MA; Massey Cancer Center, Virginia Commonwealth University, Richmond, Virginia, USA.
  • Gorin AA; Department of Health Behavior and Policy, Virginia Commonwealth University School of Medicine, Richmond, Virginia, USA.
  • Lewis CE; Gillings School of Global Public Health, University of North Carolina-Chapel Hill, Chapel Hill, North Carolina, USA.
  • Jelalian E; Department of Internal Medicine, Wake Forest School of Medicine, Winston-Salem, North Carolina, USA.
  • Wing RR; Department of Psychological Sciences, University of Connecticut, Storrs, Connecticut, USA.
J Behav Med ; 45(5): 794-803, 2022 10.
Article em En | MEDLINE | ID: mdl-35841487
ABSTRACT

INTRODUCTION:

Social jetlag (SJL), the discrepancy in sleep timing between weekdays and weekends, is associated with higher BMI and cardiometabolic risk and is common in young adults. We examined whether chronic SJL impacts weight gain in young adults participating in a weight gain prevention trial.

METHODS:

Young adults (n = 599, age 18-35; BMI 21.0-30.9 kg/m2) completed assessments at 0, 4, 12, and 24 months. Multilevel mixed growth models were used to examine (1) associations between demographics and longitudinal SJL and (2) longitudinal SJL as a predictor of weight change and cardiometabolic outcomes. SJL was assessed as a continuous and clinically-significant dichotomous (< vs. ≥2 h) variable.

RESULTS:

38% of participants had clinically-significant SJL at ≥ 1 timepoints (Baseline M ± SD = 1.3±0.89). Younger (b=-0.05, p < 0.001), female (b = 0.18, p = 0.037) and Black (compared to White, b = 0.23, p = 0.045) participants were more likely to have greater SJL. Individuals with high SJL (≥ 2 h; between-person effect) were more likely to have greater weight gain over 2 years (b = 0.05, p = 0.028). High SJL did not affect the rate of change in waist circumference or cardiometabolic markers over time.

CONCLUSIONS:

High SJL is associated with greater weight gain over time. Reducing SJL may positively impact weight status in young adults.
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Texto completo: 1 Coleções: 01-internacional Contexto em Saúde: 1_ASSA2030 / 2_ODS3 Base de dados: MEDLINE Assunto principal: Doenças Cardiovasculares / Ritmo Circadiano Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Adolescent / Adult / Female / Humans Idioma: En Revista: J Behav Med Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Contexto em Saúde: 1_ASSA2030 / 2_ODS3 Base de dados: MEDLINE Assunto principal: Doenças Cardiovasculares / Ritmo Circadiano Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Adolescent / Adult / Female / Humans Idioma: En Revista: J Behav Med Ano de publicação: 2022 Tipo de documento: Article