Prediction of activity-related energy expenditure under free-living conditions using accelerometer-derived physical activity

被引：4

作者：

Jeran, Stephanie ^{[1
]}

Steinbrecher, Astrid ^{[1
,2
]}

Haas, Verena ^{[3
,4
,5
,6
]}

Maehler, Anja ^{[7
,8
]}

Boschmann, Michael ^{[7
,8
,10
]}

Westerterp, Klaas R. ^{[11
]}

Bruehmann, Boris A. ^{[12
,13
]}

Steindorf, Karen ^{[14
,15
]}

Pischon, Tobias ^{[1
,6
,9
,16
,17
]}

机构：

[1] Helmholtz Assoc, Max Delbruck Ctr Mol Med MDC, Mol Epidemiol Res Grp, Robert Rossle Str 10, D-13125 Berlin, Germany

[2] German Statutory Pens Insurance Scheme, Div Qual Management Rehabil Care Epidemiol & Stat, Berlin, Germany

[3] Charite Univ Med Berlin, Dept Child & Adolescent Psychiat, Berlin, Germany

[4] Free Univ Berlin, Berlin, Germany

[5] Humboldt Univ, Berlin, Germany

[6] Berlin Inst Hlth, Berlin, Germany

[7] Cooperat Charite Univ Med Berlin, Expt & Clin Res Ctr, Berlin, Germany

[8] Max Delbruck Ctr Mol Med, Berlin, Germany

[9] German Ctr Cardiovasc Res DZHK, Partner Site Berlin, Berlin, Germany

[10] Berlin Inst Hlth BIH, Berlin, Germany

[11] Maastricht Univ, Nutr & Translat Res Metab NUTRIM, Med Ctr, Maastricht, Netherlands

[12] Univ Freiburg, Sect Hlth Care Res & Rehabil Res SEVERA, Fac Med, Inst Med Biometry & Stat, Freiburg, Germany

[13] Univ Freiburg, Med Ctr, Freiburg, Germany

[14] German Canc Res Ctr, Div Phys Act Prevent & Canc, Heidelberg, Germany

[15] Natl Ctr Tumor Dis NCT, Heidelberg, Germany

[16] Charite Univ Med Berlin, Berlin, Germany

[17] Max Delbruck Ctr Mol Med, MDC BIH Biobank, Berlin, Germany

来源：

SCIENTIFIC REPORTS | 2022年 / 12卷 / 01期

关键词：

BODY-COMPOSITION; WATER; MONITORS; CALIBRATION; VALIDATION; EXERCISE; VALIDITY; MODEL;

D O I：

10.1038/s41598-022-20639-0

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：

The purpose of the study was to develop prediction models to estimate physical activity (PA)-related energy expenditure (AEE) based on accelerometry and additional variables in free-living adults. In 50 volunteers (20-69 years) PA was determined over 2 weeks using the hip-worn Actigraph GT3X + as vector magnitude (VM) counts/minute. AEE was calculated based on total daily EE (measured by doubly-labeled water), resting EE (indirect calorimetry), and diet-induced thermogenesis. Anthropometry, body composition, blood pressure, heart rate, fitness, sociodemographic and lifestyle factors, PA habits and food intake were assessed. Prediction models were developed by context-grouping of 75 variables, and within-group stepwise selection (stage I). All significant variables were jointly offered for second stepwise regression (stage II). Explained AEE variance was estimated based on variables remaining significant. Alternative scenarios with different availability of groups from stage I were simulated. When all 11 significant variables (selected in stage I) were jointly offered for stage II stepwise selection, the final model explained 70.7% of AEE variance and included VM-counts (33.8%), fat-free mass (26.7%), time in moderate PA + walking (6.4%) and carbohydrate intake (3.9%). Alternative scenarios explained 53.8-72.4% of AEE. In conclusion, accelerometer counts and fat-free mass explained most of variance in AEE. Prediction was further improved by PA information from questionnaires. These results may be used for AEE prediction in studies using accelerometry

引用

页数：11

共 47 条

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