期刊
INTERNATIONAL JOURNAL OF EPIDEMIOLOGY
卷 40, 期 1, 页码 112-120出版社
OXFORD UNIV PRESS
DOI: 10.1093/ije/dyq098
关键词
Physical activity; energy expenditure; doubly labelled water; heart rate monitoring; accelerometry; sub-Saharan Africa; validity; accuracy
资金
- Wellcome Trust [GR074786MA]
- Medical Research Council Epidemiology Unit
- Gates Cambridge Scholar Award with an Overseas Research Scheme Award
- Medical Research Council [MC_UP_A090_1005, MC_U106179471, MC_U106179473] Funding Source: researchfish
- MRC [MC_U106179473, MC_UP_A090_1005] Funding Source: UKRI
Background The increasing burden of non-communicable diseases in sub-Saharan Africa (SSA) warrants rigorous studies of contributing lifestyle factors. Combined heart rate (HR) and movement monitoring make it possible to objectively measure physical activity in free-living individuals. We examined the validity of a combined HR and motion sensor in estimating physical activity energy expenditure (PAEE) in free-living adults in rural and urban Cameroon compared with doubly-labelled water (DLW) as criterion. Methods PAEE was measured in 33 free-living rural and urban dwellers by DLW over 7 consecutive days. Simultaneously, the combined sensor recorded HR and uni-axial acceleration. Individual HR vs PAEE calibration was done by a step test. Branched equation modelling was used to estimate PAEE from HR and acceleration. Validity and accuracy of prediction were expressed as mean bias and root mean square error (RMSE). Agreement was analysed using Bland and Altman limits of agreement (LOA). Results There was no significant mean bias between PARE estimated from the combined sensor or measured by DLW [mean bias (standard error): -5.4 (5.1) kJ/kg/day; P = 0.3; RMSE = 29.3 kJ/kg/day]. The bias doubled for group compared with individual calibration of HR [-9.1 (5.0) kJ/kg/day, P = 0.08]. PAEE prediction was more accurate in urban compared with rural volunteers. The 95% LOAs between predicted and measured PAEE were similar to 50-60 kJ/kg/day above or below perfect agreement. Conclusions Combined HR and movement sensing is a valid method for estimating free-living PAEE on group level in adults in SSA.
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