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Table 2 Summary of accelerometer data, energy expenditure, and energy intake. Values are mean ± SD. N = 24, except where otherwise noted

From: Criterion validity of wrist accelerometry for assessing energy intake via the intake-balance technique

 

First Assessment

Second Assessment

Both Assessments

Sleep Time (h/day)a

8.7 ± 0.9

8.6 ± 1.0

8.6 ± 0.9

Non-Wear Time (h/day)

0.2 ± 0.3

0.5 ± 0.7

0.4 ± 0.5

N Days (DLW/DXA)

14.0 ± 0.0

14.0 ± 0.2

14.0 ± 0.1

N Valid Days (accelerometer)

13.0 ± 0.7

13.1 ± 0.4

13.1 ± 0.6

ΔEnergy Storage by DXA (kcal/day)

-145 ± 434

-89 ± 413

-117 ± 420

Energy Expenditure (kcal/day)

 DLW

2,524 ± 619

2,474 ± 512

2,499 ± 562

 Hildebrand Linear Model

2,207 ± 349

2,188 ± 358

2,197 ± 350

 Hildebrand Non-Linear Model

2,346 ± 371

2,318 ± 378

2,332 ± 371

 Hibbing Left Wrist 2RM

2,622 ± 415

2,596 ± 416

2,609 ± 412

 Hibbing Right Wrist 2RM

2,637 ± 422

2,610 ± 423

2,623 ± 418

 Montoye Left Wrist ANN

2,966 ± 454

2,929 ± 446

2,948 ± 445

 Montoye Right Wrist ANN

3,089 ± 514

3,045 ± 518

3,067 ± 511

 Staudenmayer Linear Model

3,091 ± 483

3,079 ± 490

3,085 ± 481

 Staudenmayer Random Forest

3,089 ± 506

3,061 ± 509

3,075 ± 503

Energy Intake (kcal/day)

 DLW

2,379 ± 917

2,385 ± 663

2,382 ± 792

 Hildebrand Linear Model

2,062 ± 516

2,099 ± 493

2,081 ± 500

 Hildebrand Non-Linear Model

2,201 ± 528

2,229 ± 500

2,215 ± 509

 Hibbing Left Wrist 2RM

2,477 ± 564

2,507 ± 523

2,492 ± 539

 Hibbing Right Wrist 2RM

2,492 ± 567

2,521 ± 525

2,506 ± 541

 Montoye Left Wrist ANN

2,821 ± 609

2,840 ± 560

2,831 ± 579

 Montoye Right Wrist ANN

2,944 ± 647

2,956 ± 592

2,950 ± 613

 Staudenmayer Linear Model

2,946 ± 651

2,990 ± 623

2,968 ± 630

 Staudenmayer Random Forest

2,944 ± 645

2,972 ± 607

2,958 ± 620

 Body Weight Planner (Weight Loss)

2,556 ± 670

2,416 ± 629

2,486 ± 647

 Body Weight Planner (Weight Maintenance)

2,562 ± 579

2,470 ± 524

2,516 ± 548

 Self-Reportb

2,117 ± 538

2,268 ± 626

2,196 ± 583

  1. DLW Doubly labeled water, DXA Dual energy X-ray absorptiometry, 2RM Two regression model, ANN Artificial neural network
  2. a Calculated as sum of minute-by-minute values for each calendar day (typically with some sleep time in the morning and some in the evening, i.e., not reflective of continuous overnight sleep intervals)
  3. b Calculated after excluding missing participant values from the first and second assessments (n = 5 and n = 3, respectively)