Keyword search (3,172 papers available)


Determinants of attrition in a pediatric healthy lifestyle intervention: The CIRCUIT program experience.

Author(s): Danieles PK, Ybarra M, Van Hulst A, Barnett TA, Mathieu MÈ, Kakinami L, Drouin O, Bigras JL, Henderson M...

INTRODUCTION: Attrition in pediatric weight management programs is notoriously high. Greater understanding of its determinants is needed to inform retention strategies. We identified determinants o...

Article GUID: 33608233
Development and Validation of the Reasons to Exergame (RTEX) Scale in Young Adults: Exploratory Factors Analysis

Author(s): O'Loughlin E, Sabiston CM, Kakinami L, McGrath JJ, Consalvo M, O'Loughlin JL, Barnett TA,

CONCLUSIONS: RTEX is a psychometrically sound scale with four factors that measure reasons to exergame. Replication of these findings is needed in larger, more diverse samples.

Article GUID: 32538792
Weight cycling is associated with adverse cardiometabolic markers in a cross-sectional representative US sample.

Author(s): Kakinami L, Knäuper B, Brunet J

J Epidemiol Community Health. 2020 May 04;: Authors: Kakinami L, Knäuper B, Brunet J

Article GUID: 32366587
Chronic Pain Patients' Kinesiophobia and Catastrophizing are Associated with Activity Intensity at Different Times of the Day.

Author(s): Miller MB, Roumanis MJ, Kakinami L, Dover GC

J Pain Res. 2020;13:273-284 Authors: Miller MB, Roumanis MJ, Kakinami L, Dover GC

Article GUID: 32099451
Exergaming in Youth and Young Adults: A Narrative Overview.

Author(s): O'Loughlin EK, Dutczak H, Kakinami L, Consalvo M, McGrath JJ, Barnett TA

Games Health J. 2020 Feb 04;: Authors: O'Loughlin EK, Dutczak H, Kakinami L, Consalvo M, McGrath JJ, Barnett TA

Article GUID: 32017864
Factors Associated with Sustained Exergaming: Longitudinal Investigation.

Author(s): O'Loughlin EK, Barnett TA, McGrath JJ, Consalvo M, Kakinami L

JMIR Serious Games. 2019 Jul 31;7(2):e13335 Authors: O'Loughlin EK, Barnett TA, McGrath JJ, Consalvo M, Kakinami L

Article GUID: 31368440
Parenting style and obesity risk in children.

Author(s): Kakinami L, Barnett TA, Séguin L, Paradis G

Prev Med. 2015 Jun;75:18-22 Authors: Kakinami L, Barnett TA, Séguin L, Paradis G

Article GUID: 25797329
Parental Nutrition Knowledge Rather Than Nutrition Label Use Is Associated With Adiposity in Children.

Author(s): Kakinami L, Houle-Johnson S, McGrath JJ

J Nutr Educ Behav. 2016 Jul-Aug;48(7):461-467.e1 Authors: Kakinami L, Houle-Johnson S, McGrath JJ

Article GUID: 27373860
Validity of electrical impedance myography to estimate percent body fat: comparison to bio-electrical impedance and dual-energy X-ray absorptiometry.

Author(s): van Rassel CR, Bewski NA, O'loughlin EK, Wright A, Scheel DP, Puig L, Kakinami L

J Sports Med Phys Fitness. 2019 Apr;59(4):632-639 Authors: van Rassel CR, Bewski NA, O'loughlin EK, Wright A, Scheel DP, Puig L, Kakinami L

Article GUID: 30024123
Associations between physical activity and sedentary behavior with sleep quality and quantity in young adults.

Author(s): Kakinami L, O'Loughlin EK, Brunet J, Dugas EN, Constantin E, Sabiston CM, O'Loughlin J

Sleep Health. 2017 02;3(1):56-61 Authors: Kakinami L, O'Loughlin EK, Brunet J, Dugas EN, Constantin E, Sabiston CM, O'Loughlin J

Article GUID: 28346152
Neighbourhoods and obesity: A prospective study of characteristics of the built environment and their association with adiposity outcomes in children in Montreal, Canada.

Author(s): Ghenadenik AE, Kakinami L, Van Hulst A, Henderson M, Barnett TA

Prev Med. 2018 06;111:35-40 Authors: Ghenadenik AE, Kakinami L, Van Hulst A, Henderson M, Barnett TA

Article GUID: 29462654
The association between income and leisure-time physical activity is moderated by utilitarian lifestyles: A nationally representative US population (NHANES 1999-2014).

Author(s): Kakinami L, Wissa R, Khan R, Paradis G, Barnett TA, Gauvin L

Prev Med. 2018 08;113:147-152 Authors: Kakinami L, Wissa R, Khan R, Paradis G, Barnett TA, Gauvin L

Article GUID: 29753806
Ego-centered relative neighborhood deprivation and reported dietary habits among youth.

Author(s): Côté-Lussier C, Kakinami L, Danieles PK

Ego-centered relative neighborhood deprivation and reported dietary habits among youth.

Appetite. 2019 Jan 01;132:267-274

Authors: Côté-Lussier C, Kakinami L, Danieles PK

Abstract
Dietary habits are important precursors of...

Article GUID: 30473022
Nicotine dependence and sleep quality in young adults.

Author(s): Dugas EN, Sylvestre MP, O'Loughlin EK, Brunet J, Kakinami L, Constantin E, O'Loughlin J

Addict Behav. 2017 02;65:154-160 Authors: Dugas EN, Sylvestre MP, O'Loughlin EK, Brunet J, Kakinami L, Constantin E, O'Loughlin J

Article GUID: 27816041
Association between insomnia disorder and cognitive function in middle-aged and older adults: a cross-sectional analysis of the Canadian Longitudinal Study on Aging.

Author(s): Cross NE, Carrier J, Postuma RB, Gosselin N, Kakinami L, Thompson C, Chouchou F, Dang-Vu TT

Sleep. 2019 May 15;: Authors: Cross NE, Carrier J, Postuma RB, Gosselin N, Kakinami L, Thompson C, Chouchou F, Dang-Vu TT

Article GUID: 31089710
Neighbourhood disadvantage and behavioural problems during childhood and the risk of cardiovascular disease risk factors and events from a prospective cohort.

Author(s): Kakinami L, Serbin LA, Stack DM, Karmaker SC, Ledingham JE, Schwartzman AE

Prev Med Rep. 2017 Dec;8:294-300 Authors: Kakinami L, Serbin LA, Stack DM, Karmaker SC, Ledingham JE, Schwartzman AE

Article GUID: 29255665
Meeting fruit and vegetable consumption and physical activity recommendations among adolescents intending to lose weight.

Author(s): Kakinami L, Houle-Johnson SA, Demissie Z, Santosa S, Fulton JE

Prev Med Rep. 2019 Mar;13:11-15 Authors: Kakinami L, Houle-Johnson SA, Demissie Z, Santosa S, Fulton JE

Article GUID: 30456053
Do sex differences in reported weight loss intentions and behaviours persist across demographic characteristics and weight status in youth? A systematic review.

Author(s): Houle-Johnson SA, Kakinami L

BMC Public Health. 2018 Dec 04;18(1):1343 Authors: Houle-Johnson SA, Kakinami L

Article GUID: 30514246
To Each Stress Its Own Screen: A Cross-Sectional Survey of the Patterns of Stress and Various Screen Uses in Relation to Self-Admitted Screen Addiction.

Author(s): Khalili-Mahani N, Smyrnova A, Kakinami L

J Med Internet Res. 2019 Apr 02;21(4):e11485 Authors: Khalili-Mahani N, Smyrnova A, Kakinami L

Article GUID: 30938685
Title:Weight cycling is associated with adverse cardiometabolic markers in a cross-sectional representative US sample.
Authors:Kakinami L,  Knäuper B,  Brunet J
Link:https://www.ncbi.nlm.nih.gov/pubmed/32366587?dopt=Abstract
Category:J Epidemiol Community Health
PMID:32366587
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:

Weight cycling is associated with adverse cardiometabolic markers in a cross-sectional representative US sample.

J Epidemiol Community Health. 2020 May 04;:

Authors: Kakinami L, Knäuper B, Brunet J

Abstract

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.

PMID: 32366587 [PubMed - as supplied by publisher]