Keyword search (4,163 papers available)

"EPIDEMIOLOGY" Keyword-tagged Publications:

Title Authors PubMed ID
1 Updated Status of Physical Activity Research for People With Traumatic Brain Injury Quilico EL; Driver SJ; 41606762
CONCORDIA
2 Impact of COVID-19 on incidence and trends of adverse events among hospitalised patients in Calgary, Canada: a retrospective chart review study Wu G; Eastwood CA; Cheligeer C; Southern DA; Zeng Y; Ghali WA; Bakal JA; Boussat B; Flemons W; Forster A; Xu Y; Quan H; 41592994
CONCORDIA
3 Effect of body image perception and skin-lightening practices on mental health of Filipino emerging adults: a mixed-methods approach protocol Regencia ZJG; Gouin JP; Ladia MAJ; Montoya JC; Baja ES; 37192806
PSYCHOLOGY
4 Geospatial analysis reveals a hotspot of fecal bacteria in Canadian prairie lakes linked to agricultural non-point sources Oliva A; Onana VE; Garner RE; Kraemer SA; Fradette M; Walsh DA; Huot Y; 36653256
BIOLOGY
5 Body-composition phenotypes and their associations with cardiometabolic risks and health behaviours in a representative general US sample Kakinami L; Plummer S; Cohen TR; Santosa S; Murphy J; 36183799
PERFORM
6 Household income and maternal education in early childhood and activity-limiting chronic health conditions in late childhood: findings from birth cohort studies from six countries Spencer NJ; Ludvigsson J; You Y; Francis K; Abu Awad Y; Markham W; Faresjö T; Goldhaber-Fiebert J; Andersson White P; Raat H; Mensah F; Gauvin L; McGrath JJ; 35863874
PERFORM
7 Comparison of different severe obesity definitions in predicting future cardiometabolic risk in a longitudinal cohort of children Kakinami L; Smyrnova A; Paradis G; Tremblay A; Henderson M; 35705336
PERFORM
8 COVID-19-Related Concerns and Symptoms of Anxiety: Does Concern Play a Role in Predicting Severity and Risk? Benzouak T; Gunpat S; Briner EL; Thake J; Kisely S; Rao S; 34987892
PSYCHOLOGY
9 The occurrence of potentially pathogenic fungi and protists in Canadian lakes predicted using geomatics, in situ and satellite-derived variables: Towards a tele-epidemiological approach Oliva A; Garner RE; Walsh D; Huot Y; 34915335
BIOLOGY
10 Discovery of new vascular disrupting agents based on evolutionarily conserved drug action, pesticide resistance mutations, and humanized yeast Garge RK; Cha HJ; Lee C; Gollihar JD; Kachroo AH; Wallingford JB; Marcotte EM; 34849907
BIOLOGY
11 Overestimation of Postpartum Depression Prevalence Based on a 5-item Version of the EPDS: Systematic Review and Individual Participant Data Meta-analysis Thombs BD; Levis B; Lyubenova A; Neupane D; Negeri Z; Wu Y; Sun Y; He C; Krishnan A; Vigod SN; Bhandari PM; Imran M; Rice DB; Azar M; Chiovitti MJ; Saadat N; Riehm KE; Boruff JT; Cuijpers P; Gilbody S; Ioannidis JPA; Kloda LA; Patten SB; Shrier I; Ziegelstein RC; Comeau L; Mitchell ND; Tonelli M; Barnes J; Beck CT; Bindt C; Figueiredo B; Helle N; Howard LM; Kohlhoff J; Kozinszky Z; Leonardou AA; Radoš SN; Quispel C; Rochat TJ; Stein A; Stewart RC; Tadinac M; Tandon SD; Tendais I; Töreki A; Tran TD; Trevillion K; Turner K; Vega-Dienstmaier JM; Benedetti A; 33104415
LIBRARY
12 Weight cycling is associated with adverse cardiometabolic markers in a cross-sectional representative US sample Kakinami L; Knäuper B; Brunet J; 32366587
PERFORM
13 Income inequality and social gradients in children's height: a comparison of cohort studies from five high-income countries. Bird PK, Pickett KE, Graham H, Faresjö T, Jaddoe VWV, Ludvigsson J, Raat H, Seguin L, Wijtzes AI, McGrath JJ 31909223
PSYCHOLOGY

 

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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