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:Determinants of attrition in a pediatric healthy lifestyle intervention: The CIRCUIT program experience.
Authors:Danieles PK,  Ybarra M,  Van Hulst A,  Barnett TA,  Mathieu MÈ,  Kakinami L,  Drouin O,  Bigras JL,  Henderson M
Link:https://www.ncbi.nlm.nih.gov/pubmed/33608233
Category:Obes Res Clin Pract
PMID:33608233
Dept Affiliation: PERFORM
1 Research Center of CHU Sainte Justine, Université de Montréal 3175 chemin de la Côte-Sainte-Catherine, Montréal, Quebec H3T 1C5, Canada; Department of Mathematics and Statistics, Concordia University 1455 boulevard de Maisonneuve Ouest, Montréal, Quebec H3G 1M8, Canada.
2 Research Center of CHU Sainte Justine, Université de Montréal 3175 chemin de la Côte-Sainte-Catherine, Montréal, Quebec H3T 1C5, Canada.
3 Ingram School of Nursing, McGill University 680 rue Sherbrooke Ouest, Montréal, Quebec H3A 2M7, Canada.
4 Research Center of CHU Sainte Justine, Université de Montréal 3175 chemin de la Côte-Sainte-Catherine, Montréal, Quebec H3T 1C5, Canada; Department of Family Medicine, McGill University 5858 chemin de la Côte-des-Neiges, Montréal, Quebec H3S 1Z1, Canada.
5 Research Center of CHU Sainte Justine, Université de Montréal 3175 chemin de la Côte-Sainte-Catherine, Montréal, Quebec H3T 1C5, Canada; School of Kinesiology and Physical Activity Sciences, Université de Montréal 2100 boulevard Edouard Montpetit, Montréal, Quebec H3T 1J4, Canada.
6 Department of Mathematics and Statistics, Concordia University 1455 boulevard de Maisonneuve Ouest, Montréal, Quebec H3G 1M8, Canada; PERFORM Centre, Concordia University 7141 rue Sherbrooke Ouest, Montréal, Quebec H4B 1R6, Canada.
7 Research Center of CHU Sainte Justine, Université de Montréal 3175 chemin de la Côte-Sainte-Catherine, Montréal, Quebec H3T 1C5, Canada; Department of Pediatrics, Université de Montréal 3175 chemin de la Côte-Sainte-Catherine, Montréal, Quebec H3T 1C5, Canada.
8 Research Center of CHU Sainte Justine, Université de Montréal 3175 chemin de la Côte-Sainte-Catherine, Montréal, Quebec H3T 1C5, Canada; Department of Pediatrics, Université de Montréal 3175 chemin de la Côte-Sainte-Catherine, Montréal, Quebec H3T 1C5, Canada. Electronic address: melanie.henderson.hsj@gmail.com.

Description:

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

Obes Res Clin Pract. 2021 Feb 16; :

Authors: Danieles PK, Ybarra M, Van Hulst A, Barnett TA, Mathieu MÈ, Kakinami L, Drouin O, Bigras JL, Henderson M

Abstract

INTRODUCTION: Attrition in pediatric weight management programs is notoriously high. Greater understanding of its determinants is needed to inform retention strategies. We identified determinants of attrition in CIRCUIT, a healthy lifestyle intervention program for youth at risk of cardiovascular disease.

METHODS: A one-arm intervention study of children aged 4-18 years who initiated the CIRCUIT program in the first five years of its existence (N = 403). We defined attrition as attending the baseline visit but ceasing attendance prior to the 1-year follow-up. Potential determinants of dropout included the child's age, sex, ethnicity, body mass index (BMI) z-score, family socio-demographic characteristics, and estimated driving time to the program, all measured at baseline. Associations were estimated bivariately, using chi-squared- and t-tests, and simultaneously in a multivariable logistic regression model.

RESULTS: Of the 403 participants who started the program, 198 (49%) dropped out within 12 months of enrollment. Youth who dropped out were older (mean age 12.8y vs. 11.3y; p < 0.01), were less likely to live with both parents (62% vs. 71%; p = 0.05), and to have mothers who had completed high school (79% vs. 88%; p = 0.01). No group differences were observed for sex, ethnicity, baseline BMI z-score, fathers' education, or driving time to the program. In multivariate models, only older age at initiation of the intervention (OR: 1.2; CI: 1.1,1.3) and lower maternal education (OR: 2.0; CI: 1.0,3.8) were associated with dropout.

CONCLUSION: Improved tailoring of interventions to older pediatric participants and to families of lower maternal education may help reduce attrition in CIRCUIT and similar lifestyle intervention programs.

PMID: 33608233 [PubMed - as supplied by publisher]