Keyword search (3,619 papers available)


Tune out and turn in: the influence of television viewing and sleep on lipid profiles in children.

Author(s): Manousaki D, Barnett TA, Mathieu ME, Maximova K, Simoneau G, Harnois-Leblanc S, Benedetti A, McGrath JJ, Henderson M, QUALITY Cohort Collaborative Group

Int J Obes (Lond). 2020 Mar 13;: Authors: Manousaki D, Barnett TA, Mathieu ME, Maximova K, Simoneau G, Harnois-Leblanc S, Benedetti A, McGrath JJ, Henderson M, QUALITY Cohort Collaborative Group

Article GUID: 32203106
The Associations Between Self-Perceived Actual and Ideal Body Sizes and Physical Activity Among Early Adolescents.

Author(s): Solomon-Krakus S, Sabiston CM, Brunet J, Castonguay AL, Henderson M

Pediatr Exerc Sci. 2020 Mar 09;:1-7 Authors: Solomon-Krakus S, Sabiston CM, Brunet J, Castonguay AL, Henderson M

Article GUID: 32150729
Prospective Associations Between Play Environments and Pediatric Obesity.

Author(s): Fitzpatrick C, Alexander S, Henderson M, Barnett TA

Am J Health Promot. 2019 May;33(4):541-548 Authors: Fitzpatrick C, Alexander S, Henderson M, Barnett TA

Article GUID: 30354254
School food environments associated with adiposity in Canadian children.

Author(s): Fitzpatrick C, Datta GD, Henderson M, Gray-Donald K, Kestens Y, Barnett TA

Int J Obes (Lond). 2017 07;41(7):1005-1010 Authors: Fitzpatrick C, Datta GD, Henderson M, Gray-Donald K, Kestens Y, Barnett TA

Article GUID: 28186100
Stigma and Its Association With Glycemic Control and Hypoglycemia in Adolescents and Young Adults With Type 1 Diabetes: Cross-Sectional Study.

Author(s): Brazeau AS, Nakhla M, Wright M, Henderson M, Panagiotopoulos C, Pacaud D, Kearns P, Rahme E, Da Costa D, Dasgupta K

J Med Internet Res. 2018 04 20;20(4):e151 Authors: Brazeau AS, Nakhla M, Wright M, Henderson M, Panagiotopoulos C, Pacaud D, Kearns P, Rahme E, Da Costa D, Dasgupta K

Article GUID: 29678801
Title:School food environments associated with adiposity in Canadian children.
Authors:Fitzpatrick C,  Datta GD,  Henderson M,  Gray-Donald K,  Kestens Y,  Barnett TA
Link:https://www.ncbi.nlm.nih.gov/pubmed/28186100?dopt=Abstract
DOI:10.1038/ijo.2017.39
Category:Int J Obes (Lond)
PMID:28186100
Dept Affiliation: PERFORM
1 Department of Social Sciences, Sainte-Anne University, Church Point, Nova Scotia, Canada.
2 Exercise Science and PERFORM Centre, Concordia University, Montreal, Quebec, Canada.
3 Department of Social and Preventive Medicine, Université de Montréal, Montreal, Quebec, Canada.
4 Centre de recherche du Centre hospitalier de l'Université de Montréal (CRCHUM), Montreal, Quebec, Canada.
5 Department of Pediatrics, Université de Montréal, Montreal, Quebec, Canada.
6 Centre de recherche du CHU Sainte-Justine, Montréal, Quebec, Canada.
7 School of Dietetics and Human Nutrition, McGill University, Montreal, Quebec, Canada.
8 Epidemiology and Biostatistics Unit, Centre INRS-Institut Armand-Frappier, Université du Québec, Laval, Québec, Canada.

Description:

School food environments associated with adiposity in Canadian children.

Int J Obes (Lond). 2017 07;41(7):1005-1010

Authors: Fitzpatrick C, Datta GD, Henderson M, Gray-Donald K, Kestens Y, Barnett TA

Abstract

BACKGROUND/OBJECTIVES: Targeting obesogenic features of children's environment that are amenable to change represents a promising strategy for health promotion. The school food environment, defined as the services and policies regarding nutrition and the availability of food in the school and surrounding neighborhood, is particularly important given that students travel through the school neighborhood almost daily and that they consume a substantial proportion of their calories at school.

SUBJECTS/METHODS: As part of the Quebec Adipose and Lifestyle Investigation in Youth (QUALITY) cohort study, we assessed features of school indoor dietary environment and the surrounding school neighborhoods, when children were aged 8-10 years (2005-2008). School principals reported on food practices and policies within the schools. The density of convenience stores and fast-food outlets surrounding the school was computed using a Geographical Information System. Indicators of school neighborhood deprivation were derived from census data. Adiposity outcomes were measured in a clinical setting 2 years later, when participants were aged 10-12 years (2008-2011). We conducted cluster analyses to identify school food environment types. Associations between school types and adiposity were estimated in linear regression models.

RESULTS: Cluster analysis identified three school types with distinct food environments. Schools were characterized as: overall healthful (45%); a healthful food environment in the surrounding neighborhood, but an unhealthful indoor food environment (22%); or overall unhealthful (33%). Less healthful schools were located in more deprived neighborhoods and were associated with greater child adiposity.

CONCLUSIONS: Despite regulatory efforts to improve school food environments, there is substantial inequity in dietary environments across schools. Ensuring healthful indoor and outdoor food environments across schools should be included in comprehensive efforts to reduce obesity-related health disparities.

PMID: 28186100 [PubMed - indexed for MEDLINE]