Keyword search (4,163 papers available)

"Brunet J" Authored Publications:

Title Authors PubMed ID
1 Behavioural, physical, and psychological predictors of cortisol and C-reactive protein in breast cancer survivors: A longitudinal study Lambert M; Sabiston CM; Wrosch C; Brunet J; 34589720
PSYCHOLOGY
2 An investigation into socio-demographic-, health-, and cancer-related factors associated with cortisol and C-reactive protein levels in breast cancer survivors: a longitudinal study. Lambert M, Sabiston CM, Wrosch C, Brunet J 32488733
PSYCHOLOGY
3 Weight cycling is associated with adverse cardiometabolic markers in a cross-sectional representative US sample Kakinami L; Knäuper B; Brunet J; 32366587
PERFORM
4 The Associations Between Self-Perceived Actual and Ideal Body Sizes and Physical Activity Among Early Adolescents. Solomon-Krakus S, Sabiston CM, Brunet J, Castonguay AL, Henderson M 32150729
CONCORDIA
5 Life after breast cancer: moving on, sitting down or standing still? A prospective study of Canadian breast cancer survivors. Sabiston CM, Wrosch C, Fong AJ, Brunet J, Gaudreau P, O'Loughlin J, Meterissian S 30056387
PSYCHOLOGY
6 Associations between physical activity and sedentary behavior with sleep quality and quantity in young adults. Kakinami L, O'Loughlin EK, Brunet J, Dugas EN, Constantin E, Sabiston CM, O'Loughlin J 28346152
PERFORM
7 Nicotine dependence and sleep quality in young adults. Dugas EN, Sylvestre MP, O'Loughlin EK, Brunet J, Kakinami L, Constantin E, O'Loughlin J 27816041
PERFORM

 

Title:Weight cycling is associated with adverse cardiometabolic markers in a cross-sectional representative US sample
Authors:Kakinami LKnäuper BBrunet J
Link:https://pubmed.ncbi.nlm.nih.gov/32366587/
DOI:10.1136/jech-2019-213419
Publication:Journal of epidemiology and community health
Keywords:EpidemiologyObesitycardiometabolicweight cycling
PMID:32366587 Category:J Epidemiol Community Health Date Added:2020-05-06
Dept Affiliation: PERFORM
1 Mathematics and Statistics, Concordia University, Montreal, Quebec, Canada lisa.kakinami@concordia.ca.
2 PERFORM Centre, Montreal, Canada.
3 McGill University, Montreal, Quebec, Canada.
4 University of Ottawa, Ottawa, Ontario, Canada.

Description:

Background: Whether weight cycling (repeated weight loss and regain) is associated with cardiometabolic health is unclear. Study objective was to examine whether weight cycling since young adulthood (ie, 25 years of age) was associated with cardiometabolic markers.

Methods: Data from a nationally representative cross-sectional US sample (National Health and Nutrition Examination Survey, 1999-2014) were used. Weight history was based on self-reported weight at age 25, 10 years prior and 1 year prior to the survey (n=4190, 51% male). Using current self-reported weight as the anchor, participants were classified as (1) stable weight, (2) weight losers, (3) weight gainers and (4) weight cyclers. Cardiometabolic markers included fasting lipids, insulin sensitivity and blood pressure. Multiple linear regressions were used to analyse weight history (reference: stable weight) and adjusted for covariates. Analyses incorporated the sampling design and survey weights and were stratified by sex or weight status.

Results: Compared with females with stable weight, female weight cyclers had worse lipids and homeostasis model assessment for insulin resistance (HOMA-IR) (all ps<0.05). Compared with males with stable weight, male weight cyclers had worse high-density lipoprotein cholesterol (HDL) and HOMA-IR (ps<0.05). Weight cyclers with normal weight had worse HDL and low-density lipoprotein cholesterol (ps<0.05), and weight cyclers with overweight or obesity had worse HOMA-IR (p=0.05). Blood pressure was not associated.

Conclusion: Weight cycling is adversely associated with cardiometabolic markers but associations differ by sex and weight status. While weight cycling is consistently associated with worse cardiometabolic markers among females, results are mixed among males. Weight cycling is associated with worse lipid measures for normal weight persons, and marginally worse insulin sensitivity for those with overweight/obesity.





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