Keyword search (4,164 papers available)

"cardiometabolic" 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 Development and Application of Children s Sex- and Age-Specific Fat-Mass and Muscle-Mass Reference Curves From Dual-Energy X-Ray Absorptiometry Data for Predicting Cardiometabolic Risk Saputra ST; Van Hulst A; Henderson M; Brugiapaglia S; Faustini C; Kakinami L; 40878792
SOH
3 Sex and APOE4-specific links between cardiometabolic risk factors and white matter alterations in individuals with a family history of Alzheimer s disease Tremblay SA; Nathan Spreng R; Wearn A; Alasmar Z; Pirhadi A; Tardif CL; Chakravarty MM; Villeneuve S; Leppert IR; Carbonell F; Medina YI; Steele CJ; Gauthier CJ; 40086421
PSYCHOLOGY
4 Health behavior profiles in young survivors of childhood cancer: Findings from the St. Jude Lifetime Cohort Study Webster RT; Dhaduk R; Gordon ML; Partin RE; Kunin-Batson AS; Brinkman TM; Willard VW; Allen JM; Alberts NM; Lanctot JQ; Ehrhardt MJ; Li Z; Hudson MM; Robison LL; Ness KK; 36943740
PSYCHOLOGY
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 Associations of the BDNF Val66Met Polymorphism With Body Composition, Cardiometabolic Risk Factors, and Energy Intake in Youth With Obesity: Findings From the HEARTY Study Goldfield GS; Walsh J; Sigal RJ; Kenny GP; Hadjiyannakis S; De Lisio M; Ngu M; Prud' homme D; Alberga AS; Doucette S; Goldfield DB; Cameron JD; 34867148
IMAGING
7 Body Mass Index Z Score vs Weight-for-Length Z Score in Infancy and Cardiometabolic Outcomes at Age 8-10 Years Roberge JB; Harnois-Leblanc S; McNealis V; van Hulst A; Barnett TA; Kakinami L; Paradis G; Henderson M; 34302856
PERFORM
8 Weight cycling is associated with adverse cardiometabolic markers in a cross-sectional representative US sample Kakinami L; Knäuper B; Brunet J; 32366587
PERFORM

 

Title:Health behavior profiles in young survivors of childhood cancer: Findings from the St. Jude Lifetime Cohort Study
Authors:Webster RTDhaduk RGordon MLPartin REKunin-Batson ASBrinkman TMWillard VWAllen JMAlberts NMLanctot JQEhrhardt MJLi ZHudson MMRobison LLNess KK
Link:pubmed.ncbi.nlm.nih.gov/36943740/
DOI:10.1002/cncr.34749
Publication:Cancer
Keywords:cardiometabolic riskchild and adolescent survivorsdietmobilityphysical activity
PMID:36943740 Category: Date Added:2023-03-21
Dept Affiliation: PSYCHOLOGY
1 Psychology, St. Jude Children's Research Hospital, Memphis, Tennessee, USA.
2 Comprehensive Cancer Center, St. Jude Children's Research Hospital, Memphis, Tennessee, USA.
3 Epidemiology and Cancer Control, St. Jude Children's Research Hospital, Memphis, Tennessee, USA.
4 Pediatrics, University of Minnesota Medical School, Minneapolis, Minnesota, USA.
5 Psychology, Concordia University, Montreal, Quebec, Canada.
6 Oncology, St. Jude Children's Research Hospital, Memphis, Tennessee, USA.

Description:

Background: There is limited understanding of associations between a combination of health behaviors (physical activity, sedentary/screen-time, diet) and cardiometabolic health risk factors, physical performance, and emotional health among young (<18) childhood cancer survivors (CCS). The aims of this research were to address this gap by 1) deriving health behavior adherence profiles among CCS, and 2) examining associations among demographic, diagnosis and/or treatment exposures, cardiometabolic, physical performance, and emotional functioning with health behavior profile membership.

Methods: Participants included 397 CCS (=5 years post-diagnosis; 10-17 years old) enrolled in the St. Jude Lifetime Cohort Study who completed physical health evaluations and questionnaires assessing health behaviors and psychological functioning. Latent profile analysis was used to derive profiles of health behavior adherence. Logistic regression and t-tests were used to examine mean-level differences and associations between profile membership with demographic, diagnosis, treatment exposures, cardiometabolic health, psychological functioning, and physical performance.

Results: Two profiles emerged: inactive-unhealthy-diet ("IU") and active-sedentary-unhealthy-diet ("ASU") to guidelines. More participants in IU demonstrated higher resting heart rate (mean [M], 76.54; SD = 12.00) and lower motor proficiency scores (M = 34.73; SD = 29.15) compared to ASU (resting heart rate, M = 71.95, SD = 10.74; motor proficiency, M = 50.40, SD = 31.02).

Conclusions: CCS exhibited low adherence to multiple health behavior guidelines, with adherence patterns differentially associated with cardiometabolic health (i.e., resting heart rate) and physical performance. However, robust protection against all health variables was not observed. Findings suggest interventions designed to improve health outcomes should target multiple health behaviors simultaneously.

Plain language summary: Pediatric cancer survivors are at-risk for detrimental health outcomes associated with cancer and treatment. Engagement in healthy lifestyle behaviors serves to reduce health vulnerabilities among adult survivors but less is known about associations with lifestyle behaviors on young survivors. This study documents patterns of lifestyle behaviors among survivors of pediatric cancer, factors that increase susceptibility to nonadherence, and associations among lifestyle behaviors and health indicators.




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