Keyword search (4,163 papers available)

"lifestyle" Keyword-tagged Publications:

Title Authors PubMed ID
1 Comparing the impact of in-person vs. virtual 10-week family-based childhood obesity management program on anthropometric, cardiometabolic, and mental health outcomes Heidl AJ; Sun D; Faustini C; Gierc M; Bains A; Cohen TR; 41332896
MATHSTATS
2 The hockey fans in training intervention for men with overweight or obesity: a pragmatic cluster randomised trial Petrella RJ; Gill DP; Boa Sorte Silva NC; Riggin B; Blunt WM; Kfrerer M; Majoni M; Marsh J; Irwin JD; Stranges S; Zwarenstein M; Zou G; 39568632
HKAP
3 Factors associated with change in moderate or severe symptoms of anxiety and depression in community-living adults and older adults during the COVID-19 pandemic Vasiliadis HM; Spagnolo J; Bartram M; Fleury MJ; Gouin JP; Grenier S; Roberge P; Shen-Tu G; Vena JE; Lamoureux-Lamarche C; Wang J; 38117417
PSYCHOLOGY
4 Kaempferol: A Dietary Flavonol in Alleviating Obesity Nejabati HR; Nikzad S; Roshangar L; 37537778
BIOLOGY
5 Natural history and determinants of dysglycemia in Canadian children with parental obesity from ages 8-10 to 15-17 years: The QUALITY cohort Soren Harnois-Leblanc 35023257
PERFORM
6 Promoting healthy lifestyle behaviours in youth: Findings from a novel intervention for children at risk of cardiovascular disease Ybarra M; Danieles PK; Barnett TA; Mathieu MÈ; Van Hulst A; Drouin O; Kakinami L; Bigras JL; Henderson M; 34992701
PERFORM
7 Determinants of attrition in a pediatric healthy lifestyle intervention: The CIRCUIT program experience Danieles PK; Ybarra M; Van Hulst A; Barnett TA; Mathieu MÈ; Kakinami L; Drouin O; Bigras JL; Henderson M; 33608233
PERFORM
8 Evaluating Public Health Interventions: A Neglected Area in Health Technology Assessment. Stojanovic J, Wübbeler M, Geis S, Reviriego E, Gutiérrez-Ibarluzea I, Lenoir-Wijnkoop I 32391300
HKAP
9 Differences between chronological and brain age are related to education and self-reported physical activity. Steffener J, Habeck C, O'Shea D, Razlighi Q, Bherer L, Stern Y 26973113
PERFORM

 

Title:Differences between chronological and brain age are related to education and self-reported physical activity.
Authors:Steffener J,  Habeck C,  O'Shea D,  Razlighi Q,  Bherer L,  Stern Y
Link:https://www.ncbi.nlm.nih.gov/pubmed/26973113?dopt=Abstract
DOI:10.1016/j.neurobiolaging.2016.01.014
Publication:Neurobiology of aging
Keywords:Brain age;  Education;  Gray matter volume;  Healthy aging;  Lifestyle;  Physical activity; 
PMID:26973113 Category:Neurobiol Aging Date Added:2019-04-15
Dept Affiliation: PERFORM
1 PERFORM Centre, Concordia University, Montreal, Québec, Canada; Centre de Recherche de l'Institut de Gériatrie de Montréal, Montréal, Québec, Canada; Department of Psychology, Concordia University, Montreal, Québec, Canada. Electronic address: jason.steffener@concordia.ca.
2 Cognitive Neuroscience Division, Department of Neurology and Taub Institute for Research on Alzheimer's Disease and the Aging Brain, Columbia University College of Physicians and Surgeons, New York, NY, USA.
3 Cognitive Neuroscience Division, Department of Neurology and Taub Institute for Research on Alzheimer's Disease and the Aging Brain, Columbia University College of Physicians and Surgeons, New York, NY, USA; Department of Clinical and Health Psychology, University of Florida, Gainesville, FL, USA.
4 PERFORM Centre, Concordia University, Montreal, Québec, Canada; Centre de Recherche de l'Institut de Gériatrie de Montréal, Montréal, Québec, Canada; Department of Psychology, Concordia University, Montreal, Québec, Canada.

Description:

Differences between chronological and brain age are related to education and self-reported physical activity.

Neurobiol Aging. 2016 Apr;40:138-144

Authors: Steffener J, Habeck C, O'Shea D, Razlighi Q, Bherer L, Stern Y

Abstract

This study investigated the relationship between education and physical activity and the difference between a physiological prediction of age and chronological age (CA). Cortical and subcortical gray matter regional volumes were calculated from 331 healthy adults (range: 19-79 years). Multivariate analyses identified a covariance pattern of brain volumes best predicting CA (R(2) = 47%). Individual expression of this brain pattern served as a physiologic measure of brain age (BA). The difference between CA and BA was predicted by education and self-report measures of physical activity. Education and the daily number of flights of stairs climbed (FOSC) were the only 2 significant predictors of decreased BA. Effect sizes demonstrated that BA decreased by 0.95 years for each year of education and by 0.58 years for 1 additional FOSC daily. Effects of education and FOSC on regional brain volume were largely driven by temporal and subcortical volumes. These results demonstrate that higher levels of education and daily FOSC are related to larger brain volume than predicted by CA which supports the utility of regional gray matter volume as a biomarker of healthy brain aging.

PMID: 26973113 [PubMed - indexed for MEDLINE]




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