Individual Characteristics Associated with Mismatches between Self-Reported and Accelerometer-Measured Physical Activity

被引:29
|
作者
Tully, Mark A. [1 ]
Panter, Jenna [2 ,3 ]
Ogilvie, David [2 ,3 ]
机构
[1] Royal Victoria Hosp, Inst Clin Sci B, Ctr Publ Hlth, UKCRC Ctr Excellence Publ Hlth NI, Belfast BT12 6BA, Antrim, North Ireland
[2] Univ Cambridge, Sch Clin Med, MRC, Epidemiol Unit, Cambridge, England
[3] Univ Cambridge, Sch Clin Med, Cambridge Biomed Campus, UKCRC Ctr Diet & Act Res CEDAR, Cambridge, England
来源
PLOS ONE | 2014年 / 9卷 / 06期
基金
英国惠康基金; 英国医学研究理事会; 英国经济与社会研究理事会;
关键词
HEALTH; CAMBRIDGE; ADULTS; MONITORS; TIME;
D O I
10.1371/journal.pone.0099636
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Background: Accurate assessment tools are required for the surveillance of physical activity (PA) levels and the assessment of the effect of interventions. In addition, increasing awareness of PA is often used as the first step in pragmatic behavioural interventions, as discrepancies between the amount of activity an individual perceives they do and the amount actually undertaken may act as a barrier to change. Previous research has demonstrated differences in the amount of activity individuals report doing, compared to their level of physical activity when measured with an accelerometer. Understanding the characteristics of those whose PA level is ranked differently when measured with either self-report or accelerometry is important as it may inform the choice of instrument for future research. The aim of this project was to determine which individual characteristics are associated with differences between self-reported and accelerometer measured physical activity. Methods: Participant data from the 2009 wave of the Commuting and Health in Cambridge study were used. Quartiles of self-reported and accelerometer-measured PA were derived by ranking each measure from lowest to highest. These quartiles were compared to determine whether individuals' physical activity was ranked higher by either method. Multinomial logistic regression models were used to investigate the individual characteristics associated with different categories of mismatch. Results: Data from 486 participants (70% female) were included in the analysis. In adjusted analyses, the physical activity of overweight or obese individuals was significantly more likely to be ranked higher by self-report than by accelerometer than that of normal-weight individuals (OR = 2.07, 95%CI = 1.28-3.34), particularly among women (OR = 3.97, 95%CI = 2.11-7.47). Conclusions: There was a greater likelihood of mismatch between self-reported and accelerometer measured physical activity levels in overweight or obese adults. Future studies in overweight or obese adults should consider employing both methods of measurement.
引用
收藏
页数:9
相关论文
共 50 条
  • [41] Dose-response relation of self-reported and accelerometer-measured physical activity to perceived health in middle agethe Northern Finland Birth Cohort 1966 Study
    Niemela, Maisa S.
    Kangas, Maarit
    Ahola, Riikka J.
    Auvinen, Juha P.
    Leinonen, Anna-Maiju
    Tammelin, Tuija H.
    Vaaramo, Eeva S.
    Keinanen-Kiukaanniemi, Sirkka M.
    Korpelainen, Raija I.
    Jamsa, Timo J.
    BMC PUBLIC HEALTH, 2019, 19 (1)
  • [42] The descriptive epidemiology of accelerometer-measured physical activity in older adults
    Berkemeyer, K.
    Wijndaele, K.
    White, T.
    Cooper, A. J. M.
    Luben, R.
    Westgate, K.
    Griffin, S. J.
    Khaw, K. T.
    Wareham, N. J.
    Brage, S.
    INTERNATIONAL JOURNAL OF BEHAVIORAL NUTRITION AND PHYSICAL ACTIVITY, 2016, 13
  • [43] Accelerometer-measured versus self-reported physical activity levels in women before and up to 48 months after Roux-en-Y Gastric Bypass
    Sofie Possmark
    Fanny Sellberg
    Mikaela Willmer
    Per Tynelius
    Margareta Persson
    Daniel Berglind
    BMC Surgery, 20
  • [44] Accelerometer-measured versus self-reported physical activity levels in women before and up to 48 months after Roux-en-Y Gastric Bypass
    Possmark, Sofie
    Sellberg, Fanny
    Willmer, Mikaela
    Tynelius, Per
    Persson, Margareta
    Berglind, Daniel
    BMC SURGERY, 2020, 20 (01)
  • [45] Dose-response relation of self-reported and accelerometer-measured physical activity to perceived health in middle age—the Northern Finland Birth Cohort 1966 Study
    Maisa S. Niemelä
    Maarit Kangas
    Riikka J. Ahola
    Juha P. Auvinen
    Anna-Maiju Leinonen
    Tuija H. Tammelin
    Eeva S. Vaaramo
    Sirkka M. Keinänen-Kiukaanniemi
    Raija I. Korpelainen
    Timo J. Jämsä
    BMC Public Health, 19
  • [46] Accelerometer-measured physical activity patterns are associated with phenotypic age: Isotemporal substitution effects
    You, Yanwei
    Chen, Yuquan
    Wang, Xiaoxin
    Wei, Mengxian
    Zhang, Qi
    Cao, Qiang
    HELIYON, 2023, 9 (09)
  • [47] Accelerometer-Measured Physical Activity Levels and Fatigue in Older Women
    Zaslavsky, Oleg
    Su, Yan
    Rillamas-Sun, Eileen
    Roopsawang, Inthira
    LaCroix, Andrea Z.
    JOURNAL OF AGING AND PHYSICAL ACTIVITY, 2020, 28 (05) : 692 - 698
  • [48] Data imputation for accelerometer-measured physical activity: the combined approach
    Lee, Paul H.
    AMERICAN JOURNAL OF CLINICAL NUTRITION, 2013, 97 (05): : 965 - 971
  • [49] The descriptive epidemiology of accelerometer-measured physical activity in older adults
    K. Berkemeyer
    K. Wijndaele
    T. White
    A. J. M. Cooper
    R. Luben
    K. Westgate
    S. J. Griffin
    K. T. Khaw
    N. J. Wareham
    S. Brage
    International Journal of Behavioral Nutrition and Physical Activity, 13
  • [50] Associations between Accelerometer-Measured Physical Activity and Fecal Microbiota in Adults with Overweight and Obesity
    Hughes, Riley L.
    Pindus, Dominika M.
    Khan, Naiman A.
    Burd, Nicholas A.
    Holscher, Hannah D.
    MEDICINE & SCIENCE IN SPORTS & EXERCISE, 2023, 55 (04) : 680 - 689