Cargando…
Rest-Activity Rhythm Is Associated With Obesity Phenotypes: A Cross-Sectional Analysis
BACKGROUND: The prevalence of obesity continues to increase in spite of substantial efforts towards its prevention, posing a major threat to health globally. Circadian disruption has been associated with a wide range of preclinical and clinical disorders, including obesity. However, whether rest-act...
Autores principales: | , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9273840/ https://www.ncbi.nlm.nih.gov/pubmed/35837304 http://dx.doi.org/10.3389/fendo.2022.907360 |
_version_ | 1784745164595527680 |
---|---|
author | Li, Jingen Vungarala, Soumya Somers, Virend K. Di, Junrui Lopez-Jimenez, Francisco Covassin, Naima |
author_facet | Li, Jingen Vungarala, Soumya Somers, Virend K. Di, Junrui Lopez-Jimenez, Francisco Covassin, Naima |
author_sort | Li, Jingen |
collection | PubMed |
description | BACKGROUND: The prevalence of obesity continues to increase in spite of substantial efforts towards its prevention, posing a major threat to health globally. Circadian disruption has been associated with a wide range of preclinical and clinical disorders, including obesity. However, whether rest-activity rhythm (RAR), an expression of the endogenous circadian rhythm, is associated with excess adiposity is poorly understood. Here we aimed to assess the association of RAR with general and abdominal obesity. METHODS: Non-institutionalized adults aged ≥20 years participating in the US National Health and Nutrition Examination Survey (NHANES) 2011-2014 who wore accelerometers for at least four 24-hour periods were included (N=7,838). Amplitude, mesor, acrophase and pseudo-F statistic of RAR were estimated using extended cosinor model, and interdaily stability (IS) and intradaily variability (IV) were computed by nonparametric methods. We tested the association between rest-activity rhythm and general obesity defined by body mass index and abdominal obesity by waist circumference. Waist-to-height ratio, sagittal abdominal diameter, and total and trunk fat percentages measured by imaging methods were also analyzed. RESULTS: In multivariable analysis, low amplitude (magnitude of the rhythm), mesor (rhythm-corrected average activity level), pseudo-F statistic (robustness of the rhythm), IS (day-to-day rhythm stability), or high IV (rhythm fragmentation) were independently associated with higher likelihood of general or abdominal obesity (all Ps<.05). Consistently, RAR metrics were similarly associated with all adiposity measures (all Ps<.01). Delayed phase of RAR (later acrophase) was only significantly related to general and abdominal obesity in women. CONCLUSIONS: Aberrant RAR is independently associated with anthropometric and imaging measures of general and abdominal obesity. Longitudinal studies assessing whether RAR metrics can predict weight gain and incident obesity are warranted. |
format | Online Article Text |
id | pubmed-9273840 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-92738402022-07-13 Rest-Activity Rhythm Is Associated With Obesity Phenotypes: A Cross-Sectional Analysis Li, Jingen Vungarala, Soumya Somers, Virend K. Di, Junrui Lopez-Jimenez, Francisco Covassin, Naima Front Endocrinol (Lausanne) Endocrinology BACKGROUND: The prevalence of obesity continues to increase in spite of substantial efforts towards its prevention, posing a major threat to health globally. Circadian disruption has been associated with a wide range of preclinical and clinical disorders, including obesity. However, whether rest-activity rhythm (RAR), an expression of the endogenous circadian rhythm, is associated with excess adiposity is poorly understood. Here we aimed to assess the association of RAR with general and abdominal obesity. METHODS: Non-institutionalized adults aged ≥20 years participating in the US National Health and Nutrition Examination Survey (NHANES) 2011-2014 who wore accelerometers for at least four 24-hour periods were included (N=7,838). Amplitude, mesor, acrophase and pseudo-F statistic of RAR were estimated using extended cosinor model, and interdaily stability (IS) and intradaily variability (IV) were computed by nonparametric methods. We tested the association between rest-activity rhythm and general obesity defined by body mass index and abdominal obesity by waist circumference. Waist-to-height ratio, sagittal abdominal diameter, and total and trunk fat percentages measured by imaging methods were also analyzed. RESULTS: In multivariable analysis, low amplitude (magnitude of the rhythm), mesor (rhythm-corrected average activity level), pseudo-F statistic (robustness of the rhythm), IS (day-to-day rhythm stability), or high IV (rhythm fragmentation) were independently associated with higher likelihood of general or abdominal obesity (all Ps<.05). Consistently, RAR metrics were similarly associated with all adiposity measures (all Ps<.01). Delayed phase of RAR (later acrophase) was only significantly related to general and abdominal obesity in women. CONCLUSIONS: Aberrant RAR is independently associated with anthropometric and imaging measures of general and abdominal obesity. Longitudinal studies assessing whether RAR metrics can predict weight gain and incident obesity are warranted. Frontiers Media S.A. 2022-06-28 /pmc/articles/PMC9273840/ /pubmed/35837304 http://dx.doi.org/10.3389/fendo.2022.907360 Text en Copyright © 2022 Li, Vungarala, Somers, Di, Lopez-Jimenez and Covassin https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Endocrinology Li, Jingen Vungarala, Soumya Somers, Virend K. Di, Junrui Lopez-Jimenez, Francisco Covassin, Naima Rest-Activity Rhythm Is Associated With Obesity Phenotypes: A Cross-Sectional Analysis |
title | Rest-Activity Rhythm Is Associated With Obesity Phenotypes: A Cross-Sectional Analysis |
title_full | Rest-Activity Rhythm Is Associated With Obesity Phenotypes: A Cross-Sectional Analysis |
title_fullStr | Rest-Activity Rhythm Is Associated With Obesity Phenotypes: A Cross-Sectional Analysis |
title_full_unstemmed | Rest-Activity Rhythm Is Associated With Obesity Phenotypes: A Cross-Sectional Analysis |
title_short | Rest-Activity Rhythm Is Associated With Obesity Phenotypes: A Cross-Sectional Analysis |
title_sort | rest-activity rhythm is associated with obesity phenotypes: a cross-sectional analysis |
topic | Endocrinology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9273840/ https://www.ncbi.nlm.nih.gov/pubmed/35837304 http://dx.doi.org/10.3389/fendo.2022.907360 |
work_keys_str_mv | AT lijingen restactivityrhythmisassociatedwithobesityphenotypesacrosssectionalanalysis AT vungaralasoumya restactivityrhythmisassociatedwithobesityphenotypesacrosssectionalanalysis AT somersvirendk restactivityrhythmisassociatedwithobesityphenotypesacrosssectionalanalysis AT dijunrui restactivityrhythmisassociatedwithobesityphenotypesacrosssectionalanalysis AT lopezjimenezfrancisco restactivityrhythmisassociatedwithobesityphenotypesacrosssectionalanalysis AT covassinnaima restactivityrhythmisassociatedwithobesityphenotypesacrosssectionalanalysis |