Sedentary behavior after breast cancer

motivational, demographic, disease, and health status correlates of sitting time in breast cancer survivors

Kara L. Gavin*, Whitney Allegra Welch, David E. Conroy, Sarah Kozey-Keadle, Christine Pellegrini, Alison Cottrell, Anne Nielsen, Payton Solk, Juned Siddique, Siobhan M Phillips

*Corresponding author for this work

Research output: Contribution to journalArticle

Abstract

Purpose: Sedentary behavior is associated with poor health outcomes including obesity, lower quality of life, and mortality in breast cancer survivors. This study sought to identify motivational, demographic, and disease characteristics of breast cancer survivors who engage in greater amounts of sedentary behavior. Methods: Multivariate linear regression models estimated associations between demographic, disease, and health characteristics with reported sitting in breast cancer survivors (n = 279; M age = 60.7 (± 9.7) years). Regression models estimated associations between motivational factors and reported sitting adjusted for demographic and disease and health covariates. Results: Working at least part-time and marital status were associated various sitting domains including weekday and non-leisure sitting. Higher BMI was associated with more average daily, weekend, and weekday sitting. High income was additionally associated with less non-leisure sitting. The belief that sedentary behavior is bad for health, physical function, and self-evaluative OE, and lifestyle self-efficacy were associated with multiple sitting domains in both univariate and covariate-adjusted models. Conclusions: Future work should examine the relationships between motivational, demographic, and disease predictors and objectively measured sedentary behavior over time and across different sedentary behavior domains. Understanding activity changes during and after treatment is needed to identify intervention targets and develop effective interventions.

Original languageEnglish (US)
JournalCancer Causes and Control
DOIs
StatePublished - Jan 1 2019

Fingerprint

Health Status
Survivors
Demography
Breast Neoplasms
Health
Linear Models
Marital Status
Self Efficacy
Life Style
Obesity
Quality of Life
Mortality
Therapeutics

Keywords

  • Breast cancer survivors
  • Motivational factors
  • Sedentary behavior

ASJC Scopus subject areas

  • Oncology
  • Cancer Research

Cite this

@article{6d5402e2933d4ab6bf0c5e6feabea180,
title = "Sedentary behavior after breast cancer: motivational, demographic, disease, and health status correlates of sitting time in breast cancer survivors",
abstract = "Purpose: Sedentary behavior is associated with poor health outcomes including obesity, lower quality of life, and mortality in breast cancer survivors. This study sought to identify motivational, demographic, and disease characteristics of breast cancer survivors who engage in greater amounts of sedentary behavior. Methods: Multivariate linear regression models estimated associations between demographic, disease, and health characteristics with reported sitting in breast cancer survivors (n = 279; M age = 60.7 (± 9.7) years). Regression models estimated associations between motivational factors and reported sitting adjusted for demographic and disease and health covariates. Results: Working at least part-time and marital status were associated various sitting domains including weekday and non-leisure sitting. Higher BMI was associated with more average daily, weekend, and weekday sitting. High income was additionally associated with less non-leisure sitting. The belief that sedentary behavior is bad for health, physical function, and self-evaluative OE, and lifestyle self-efficacy were associated with multiple sitting domains in both univariate and covariate-adjusted models. Conclusions: Future work should examine the relationships between motivational, demographic, and disease predictors and objectively measured sedentary behavior over time and across different sedentary behavior domains. Understanding activity changes during and after treatment is needed to identify intervention targets and develop effective interventions.",
keywords = "Breast cancer survivors, Motivational factors, Sedentary behavior",
author = "Gavin, {Kara L.} and Welch, {Whitney Allegra} and Conroy, {David E.} and Sarah Kozey-Keadle and Christine Pellegrini and Alison Cottrell and Anne Nielsen and Payton Solk and Juned Siddique and Phillips, {Siobhan M}",
year = "2019",
month = "1",
day = "1",
doi = "10.1007/s10552-019-01153-7",
language = "English (US)",
journal = "Cancer Causes and Control",
issn = "0957-5243",
publisher = "Springer Netherlands",

}

Sedentary behavior after breast cancer : motivational, demographic, disease, and health status correlates of sitting time in breast cancer survivors. / Gavin, Kara L.; Welch, Whitney Allegra; Conroy, David E.; Kozey-Keadle, Sarah; Pellegrini, Christine; Cottrell, Alison; Nielsen, Anne; Solk, Payton; Siddique, Juned; Phillips, Siobhan M.

In: Cancer Causes and Control, 01.01.2019.

Research output: Contribution to journalArticle

TY - JOUR

T1 - Sedentary behavior after breast cancer

T2 - motivational, demographic, disease, and health status correlates of sitting time in breast cancer survivors

AU - Gavin, Kara L.

AU - Welch, Whitney Allegra

AU - Conroy, David E.

AU - Kozey-Keadle, Sarah

AU - Pellegrini, Christine

AU - Cottrell, Alison

AU - Nielsen, Anne

AU - Solk, Payton

AU - Siddique, Juned

AU - Phillips, Siobhan M

PY - 2019/1/1

Y1 - 2019/1/1

N2 - Purpose: Sedentary behavior is associated with poor health outcomes including obesity, lower quality of life, and mortality in breast cancer survivors. This study sought to identify motivational, demographic, and disease characteristics of breast cancer survivors who engage in greater amounts of sedentary behavior. Methods: Multivariate linear regression models estimated associations between demographic, disease, and health characteristics with reported sitting in breast cancer survivors (n = 279; M age = 60.7 (± 9.7) years). Regression models estimated associations between motivational factors and reported sitting adjusted for demographic and disease and health covariates. Results: Working at least part-time and marital status were associated various sitting domains including weekday and non-leisure sitting. Higher BMI was associated with more average daily, weekend, and weekday sitting. High income was additionally associated with less non-leisure sitting. The belief that sedentary behavior is bad for health, physical function, and self-evaluative OE, and lifestyle self-efficacy were associated with multiple sitting domains in both univariate and covariate-adjusted models. Conclusions: Future work should examine the relationships between motivational, demographic, and disease predictors and objectively measured sedentary behavior over time and across different sedentary behavior domains. Understanding activity changes during and after treatment is needed to identify intervention targets and develop effective interventions.

AB - Purpose: Sedentary behavior is associated with poor health outcomes including obesity, lower quality of life, and mortality in breast cancer survivors. This study sought to identify motivational, demographic, and disease characteristics of breast cancer survivors who engage in greater amounts of sedentary behavior. Methods: Multivariate linear regression models estimated associations between demographic, disease, and health characteristics with reported sitting in breast cancer survivors (n = 279; M age = 60.7 (± 9.7) years). Regression models estimated associations between motivational factors and reported sitting adjusted for demographic and disease and health covariates. Results: Working at least part-time and marital status were associated various sitting domains including weekday and non-leisure sitting. Higher BMI was associated with more average daily, weekend, and weekday sitting. High income was additionally associated with less non-leisure sitting. The belief that sedentary behavior is bad for health, physical function, and self-evaluative OE, and lifestyle self-efficacy were associated with multiple sitting domains in both univariate and covariate-adjusted models. Conclusions: Future work should examine the relationships between motivational, demographic, and disease predictors and objectively measured sedentary behavior over time and across different sedentary behavior domains. Understanding activity changes during and after treatment is needed to identify intervention targets and develop effective interventions.

KW - Breast cancer survivors

KW - Motivational factors

KW - Sedentary behavior

UR - http://www.scopus.com/inward/record.url?scp=85064042654&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85064042654&partnerID=8YFLogxK

U2 - 10.1007/s10552-019-01153-7

DO - 10.1007/s10552-019-01153-7

M3 - Article

JO - Cancer Causes and Control

JF - Cancer Causes and Control

SN - 0957-5243

ER -