TY - JOUR
T1 - Circadian rhythm parameters and physical activity associated with cardiometabolic risk factors in the PREVIEW lifestyle study
AU - Westerterp-Plantenga, M.S.
AU - Drummen, M.
AU - Tischmann, L.
AU - Swindell, N.
AU - Stratton, G.
AU - Raben, A.
AU - Westerterp, M.
AU - Adam, T.
N1 - Funding Information:
We thank all study participants for their time and commitment to the study. Specifically, we thank Bjorn Winkens (Maastricht University) and Lloyd Brants (Clinical Epidemiology and Medical Technology Assessment [KEMTA], MUMC) for statistical advice, and Jennie-Brand-Miller for editing the manuscript. The data are available upon request, addressed to M.S.W.-P. and T.C.A.
Funding Information:
Netherlands Organization of Scientific Research (NWO), Grant/Award Numbers: Aspasia, VIDI grant 917.15.350; NUTRIM, School of Nutrition and Translational Research in Metabolism, Maastricht University, Maastricht, the Netherlands; Seventh Framework Programme, Grant/Award Number: 312057; University of Groningen and EU Co‐Fund, Grant/Award Number: Rosalind Franklin Fellowship Funding information
Funding Information:
The PREVIEW study was sponsored by European Union Framework Program 7 (FP7/2007‐2013) grant agreement 312057. The present part of this study was also sponsored by NUTRIM, School of Nutrition and Translational Research in Metabolism, Maastricht University, Maastricht, the Netherlands. M.W. is supported by VIDI grant 917.15.350 and an Aspasia grant from the Netherlands Organization of Scientific Research (NWO) and a Rosalind Franklin Fellowship with an EU Co‐Fund attached from the University of Groningen. The funders had no role in discussing the outcome and interpretation of the study results.
Publisher Copyright:
© 2023 The Authors. Obesity published by Wiley Periodicals LLC on behalf of The Obesity Society.
PY - 2023/3
Y1 - 2023/3
N2 - ObjectiveThe aim of this study was an assessment of post hoc associations among circadian rhythm parameters, physical activity (PA), and cardiometabolic risk factors in adults with obesity and prediabetes after 3 years of weight loss maintenance. MethodsCircadian rhythm parameters (continuous wrist-temperature measurements), PA, systolic and diastolic blood pressure (SBP, DBP), heart rate (HR), plasma high-density lipoprotein cholesterol (HDL-C), low-density lipoprotein cholesterol, remnant cholesterol, triacylglycerol, and C-reactive protein (CRP) concentrations were determined in 91 free-living participants (mean [SD], age = 56.6 [10] years; BMI = 28.2 [4.0]; homeostatic model assessment of insulin resistance [HOMA-IR] = 3.2 [3.1]) and in 38 participants in sedentary respiration chamber conditions (age = 56.6 [10] years; BMI = 28.5 [4.0]; HOMA-IR = 3.3 [1.4]). Associations of circadian rhythm parameters and PA with cardiometabolic risk factors were determined using factor analyses followed by Pearson correlations. ResultsValues of cardiometabolic risk factors were similar, whereas circadian rhythm parameters and PA differed significantly (p < 0.05) between conditions. In both conditions, parameters indicating a robust circadian rhythm associated inversely with CRP and positively with plasma HDL-C concentrations. In free-living conditions, PA associated inversely with SBP and HR and positively with HDL-C and robust circadian rhythm parameters. In sedentary conditions, PA associated positively with HR and inversely with robust circadian rhythm parameters. PA mediated the inverse association of parameters indicating a robust circadian rhythm with SBP in free-living conditions. ConclusionsIn adults with obesity and prediabetes, parameters indicating a robust circadian rhythm were, independently of PA, associated with lower cardiometabolic risk and CRP. Only in free-living conditions, PA mediated the association of higher circadian stability with lower SBP.
AB - ObjectiveThe aim of this study was an assessment of post hoc associations among circadian rhythm parameters, physical activity (PA), and cardiometabolic risk factors in adults with obesity and prediabetes after 3 years of weight loss maintenance. MethodsCircadian rhythm parameters (continuous wrist-temperature measurements), PA, systolic and diastolic blood pressure (SBP, DBP), heart rate (HR), plasma high-density lipoprotein cholesterol (HDL-C), low-density lipoprotein cholesterol, remnant cholesterol, triacylglycerol, and C-reactive protein (CRP) concentrations were determined in 91 free-living participants (mean [SD], age = 56.6 [10] years; BMI = 28.2 [4.0]; homeostatic model assessment of insulin resistance [HOMA-IR] = 3.2 [3.1]) and in 38 participants in sedentary respiration chamber conditions (age = 56.6 [10] years; BMI = 28.5 [4.0]; HOMA-IR = 3.3 [1.4]). Associations of circadian rhythm parameters and PA with cardiometabolic risk factors were determined using factor analyses followed by Pearson correlations. ResultsValues of cardiometabolic risk factors were similar, whereas circadian rhythm parameters and PA differed significantly (p < 0.05) between conditions. In both conditions, parameters indicating a robust circadian rhythm associated inversely with CRP and positively with plasma HDL-C concentrations. In free-living conditions, PA associated inversely with SBP and HR and positively with HDL-C and robust circadian rhythm parameters. In sedentary conditions, PA associated positively with HR and inversely with robust circadian rhythm parameters. PA mediated the inverse association of parameters indicating a robust circadian rhythm with SBP in free-living conditions. ConclusionsIn adults with obesity and prediabetes, parameters indicating a robust circadian rhythm were, independently of PA, associated with lower cardiometabolic risk and CRP. Only in free-living conditions, PA mediated the association of higher circadian stability with lower SBP.
KW - CARDIOVASCULAR-DISEASE
KW - WRIST TEMPERATURE
KW - INSULIN-RESISTANCE
KW - METABOLIC SYNDROME
KW - BLOOD-PRESSURE
KW - TRIGLYCERIDES
KW - SYSTEM
KW - OBESE
KW - INDEX
U2 - 10.1002/oby.23670
DO - 10.1002/oby.23670
M3 - Article
C2 - 36782388
SN - 1930-7381
VL - 31
SP - 744
EP - 756
JO - Obesity
JF - Obesity
IS - 3
ER -