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Table 5 Criterion and convergent validity of accelerometer-based methods for preschoolers, sorted by methodological study quality, quality of evidence (level of evidence), and study result rating

From: Systematic review of accelerometer-based methods for 24-h physical behavior assessment in young children (0–5 years old)

 

Study

Study populationa

Outcome(s) & Setting

Comparison measure(s)

Method

ological study qualityb

Placement

Device-based methodc

Results

Study result ratingd

Quality of evidencee

(level of evidence)

Criterion validity

Adolph et al. (2012) [51]

n = 64

Age = 4.5 ± 0.8 (3 to 5) years

Sex = 42.2% girls

cpm

Laboratory (structured activities)

Indirect calorimetry using breath-by-breath VO2 and VCO2 method to determine AEE

VG

Chest

Ah-cts-uni-60

r = .72***

+ 

Moderate

Right hip

RT-cts-VM-60

r = .80**

+ 

RT-cts-VA-60

r = .80**

 + 

RT-cts-HA-60

r = .78**

+ 

RT-cts-DA-60

r = .74**

+ 

Zakeri et al. (2013) [55]

n = 69

Age = 4.6 ± 1.0 (3 to 5) years

Sex = 50.7% girls

Minute-by-minute EE

Laboratory (structured activities)

Indirect calorimetry using breath-by-breath VO2 and VCO2 to determine EE

VG

Right hip

AG-cts-VA-60

r = .76***

+ 

Moderate

AG-cts-HA-60

r = .74***

+ 

AG-cts-DA-60

r = .76***

+ 

AG-CSTS-VA/HA/DA/VM-60

MAPE = 0.3 ± 6.9%, CCC = .93

+ 

AG-MARS-VA/HA/DA/VM-60

MAPE = 0.3 ± 4.8%, CCC = .95

+ 

Bélanger et al. (2013) [66]

n = 12

Age = 3.1 ± 1.0 (2 to 5) years

Sex = 66.7% girls

Sleep quality: sleep latency, TST, WASO (number), and sleep efficiency

Free-living

(at home)

Polysomnography to score sleep stages as sleep and wake

VG

Non-dominant wrist

(raw data)

Aw-AS-VA-30

Sleep latency: ICC = .96**

TST: ICC = .94**, overestimated by 13 min**

WASO: ICC = .28, underestimated by 20**

Sleep efficiency: ICC = .76**, overestimated by 2 min*

Se = 98.7%, Sp = 58.7%, accuracy = 95.6%, NVP = 81.0%

+ 

Low

Aw-ACT40-VA-30

Sleep latency: ICC = .92**

TST: ICC = .94**, underestimated by 25 min**

WASO: ICC = .42, overestimated by 37**

Sleep efficiency: ICC = .73**, underestimated by 4 min**

Se = 92.7%, Sp = 69.9%, accuracy = 90.7%, NVP = 47.4%

± 

Aw-ACT80-VA-30

Sleep latency: ICC = .92**

TST: ICC = .95*

WASO: ICC = .32, overestimated by 25**

Sleep efficiency: ICC = .70**

Se = 95.8%, Sp = 56.7%, accuracy = 92.4%, NVP = 55.0%

± 

Non-dominant wrist

(adjusted data)

Aw-ACT40-VA-30

Sleep latency: ICC = .96**

TST: ICC = .94**, underestimated by 58 min**

WASO: ICC = .28, overestimated by 35**

Sleep efficiency: ICC = .76**, underestimated by 9.4 min**

Se = 87.9%, Sp = 81.0%, accuracy = 87.5%, NVP = 39.4%

+ 

Aw-ACT80-VA-30

Sleep latency: ICC = .96**

TST: ICC = .97**, underestimated by 21.5 min**

WASO: ICC = .36, overestimated by 34**

Sleep efficiency: ICC = .82**, underestimated by 3.5 min**

Se = 93.4%, Sp = 70.9%, accuracy = 91.4%, NVP = 49.6%

+ 

Aw-AS-VA-30

Sleep latency: ICC = .93**

TST: ICC = .98**

WASO: ICC = .36, underestimated by 20**

Sleep efficiency: ICC = .90**

Se = 97.7%, Sp = 61.2%, accuracy = 95.0%, NVP = 72.1%

± 

Left ankle

Aw-ACT40-VA-30

Sleep latency: ICC = .83**

TST: ICC = .94**, underestimated by > 25 min**

WASO: ICC = .01, overestimated by 36**

Sleep efficiency: ICC = .80**, underestimated by 6.5 min**

Se = 90.5%, Sp = 75.1%, accuracy = 89.3%, NVP = 41.7%

± 

Aw-ACT80-VA-30

Sleep latency: ICC = .85**

TST: ICC = .95**

WASO: ICC = .09, overestimated by 28**

Sleep efficiency: ICC = .81**

Se = 95.0%, Sp = 65.0%, accuracy = 92.1%, NVP = 53.7%

 ± 

Aw-AS-VA-30

Sleep latency: ICC = .81**

TST: ICC = .91**

WASO: ICC = .14, underestimated by 20**

Sleep efficiency: ICC = .77**

Se = 97.6%, Sp = 57.7%, accuracy = 94.6%, NVP = 76.8%

± 

Roscoe, James, & Duncan (2017) [67]

n = 21

Age = 4.7 ± 0.5 (4 to 5) years

Sex = 38.1% girls

Activity intensity: SB (< 2 METs), LPA (2–2.99 METs), and MPA (3–5.99 METs)

Laboratory (structured activities)

Indirect calorimetry using breath-by-breath VO2 and VCO2 to determine EE

VG

Non-dominant wrist

GA-Ro-VM-60

SB: AUC-ROC = .99, 95% CI (.98 to 1.0), Se = 90%, Sp = 90%

LPA: AUC-ROC = .75, 95% CI (.65 to .85), Se = 40%, Sp = 20%

MPA: AUC-ROC = .92, 95% CI (.86 to .98), Se = 86%, Sp = 40%

± 

(SB + ;

PA -)

Low

Dominant wrist

GA-Ro-VM-60

SB: AUC-ROC = .99, 95% CI (.97 to 1.0), Se = 100%, Sp = 10%

LPA: AUC-ROC = .76, 95% CI (.60 to .86), Se = 10%, Sp = 85%

MPA: AUC-ROC = .90, 95% CI (.83 to .96), Se = 76%, Sp = 40%

-

(SB ± ;

PA -)

Pfeiffer et al. (2006) [53]

n = 18

Age = 4.4 ± 0.7 (3 to 5) years

Sex = 61.0% girls

cpm

Laboratory (structured activities)

Indirect calorimetry using breath-by-breath VO2

VG

Right hip

Ac-cts-omni-60

Validation

r = .89, rsp = .90, R2 = .96, SE = 3.02, AIC = 435.9, ICC = .59, rsp = .80***

+ 

Very low

Activity intensity: MPA and VPA

Free-living (in- and outdoor activities at preschool)

D

Ac-Pf-omni-60

Cross-validation

MPA: accuracy = 73%, κ = .40, modified κ = .46

VPA: accuracy = 85%, κ = .26, modified κ = .71

PA: ± 

Pate et al. (2006) [52]

n = 29

Age = 4.4 ± 0.8 (3.3 to 5.9) years

Sex = 46.2% girls

cpm

Laboratory (structured activities)

Indirect calorimetry using breath-by-breath VO2 and VCO2 to determine EE

VG

Right hip

AG-cts-VA-60

Validation

rp = .82, R2 = .90, SE = 4.70, AIC = 735.8, ICC = .57, rsp = .66***

± 

Very low

Activity intensity: MVPA and VPA

Free-living (in- and outdoor activities at preschool)

D

AG-Pa-VA-60

Cross-validation

MVPA: accuracy = 69%, Se = 96.6%, Sp = 86.2% κ = .36, modified κ = .38

VPA: accuracy = 81%, Se = 65.5%, Sp = 95.4%, κ = .13, modified κ = .62

PA: -

Sijtsma et al. (2013) [54]

n = 30

Age = 3.4 ± 0.3 (3.1 to 4.4) years

Sex = 60.0% girls

Mean activity cpm (ACM) and mean total activity counts per day (ACD)

Free-living (at home for 5 days)

Indirect calorimetry using DLW to determine TEE;

breath-by-breath VO2 and VCO2 to determine SMR to calculate PAL and AEE

D

Middle lower back

TD-cts-tri-60

PAL: ACM rp = .61**, ACD rp = 46*

- ACM, gender & weight, R2 = .50*; ACD, height, gender & sleep duration, R2 = .48*

AEE: ACM rp = .56*, ACD rp = .38

- ACM, R2 = .31*; ACD, gender & sleep duration, R2 = .39*

TEE: ACM rp = .34, ACD rp = .21

- Multivariate models with ACM & SMR or ACM, ACD & sleep duration not significant

Using 5 or 3 days of data did not provide different results for PAL estimation, MD = -0.02 ± 0.07, LoA (-0.16 to 0.11)

-

Very low

Ahmadi et al. (2020) [84]

n = 31

Age = 4.1 ± 1.0 (3 to 5) years

Sex = 20% girls

EE

Free-living (free play)

Indirect calorimetry using breath-by-breath VO2 and VCO2 to determine EE

A

Non-dominant wrist

AG-RF-VM-10

Free-living (FL) model: RMSE = 0.63 (SD = 0.47) kcal/min, RMSE = 0.96 (SD = 0.67) METs, MAPE = 27.4% (SD = 14.0)

Retrained lab (RL) model: RMSE = 0.66 (SD = 0.47) kcal/min, RMSE = 1.01 (SD = 0.67) METs, MAPE = 28.3% (SD = 15.0)

Existing lab, FL and RL models: mean bias not different from zero, predicted EE within ± 6% of measured EE

?

Very low

AG-SVM-VM-10

Free-living (FL) model: RMSE = 0.64 (SD = 0.51) kcal/min, RMSE = 0.99 (SD = 0.73) METs, MAPE = 25.4% (SD = 12.2)

Retrained lab (RL) model: RMSE = 0.65 (SD = 0.54) kcal/min, RMSE = 0.99 (SD = 0.77) METs, MAPE = 26.0% (SD = 12.6)

Existing lab, FL and RL models: mean bias not different from zero, predicted EE within ± 6% of measured EE

?

Right hip

AG-RF-VM-10

Free-living (FL) model: RMSE = 0.63 (SD = 0.42) kcal/min, RMSE = 0.96 (SD = 0.59) METs, MAPE = 28.1% (SD = 12.0)

Retrained lab (RL) model: RMSE = 0.67 (SD = 0.41) kcal/min, RMSE = 1.02 (SD = 0.57) METs, MAPE = 28.3% (SD = 12.7)

FL and RL models: EE overestimated during play sessions with low total EE and underestimated during sessions with high total EE

Existing lab models: mean bias not different from zero, predicted EE within ± 6% of measured EE

?

AG-ANN-VM-10

Free-living (FL) model: RMSE = 0.63 (SD = 0.43) kcal/min, RMSE = 0.96 (SD = 0.61) METs, MAPE = 27.1% (SD = 11.1)

Retrained lab (RL) model: RMSE = 0.65 (SD = 0.44) kcal/min, RMSE = 0.99 (SD = 0.62) METs, MAPE = 28.4% (SD = 11.8)

Existing lab, FL and RL models: EE overestimated during play sessions with low total EE and underestimated during sessions with high total EE

?

Steenbock et al. (2019) [88]

n = 41

Age = 4.8 ± 0.8 (3 to 6) years

Sex = 46% girls

Absolute (kJ/min) and relative (kg/min/J) EE

Free-living (in- and outdoor semi-structured activities at school)

Indirect calorimetry using breath-by-breath VO2 and VCO2 to determine EE

A

Right hip

AG-LM- HA/VA/DA-30

RMSE = 2.91 (SD = 0.95) kJ/min, RMSE = 124.91 (SD = 30.58) J/min/kg, RMSE = 1.70 (SD = 0.39) METs

?

Very low

AG-MLM- HA/VA/DA-30

RMSE = 2.91 (SD = 0.99) kJ/min, RMSE = 125.40 (SD = 31.50) J/min/kg, RMSE = 1.70 (SD = 0.40) METs

?

AG-RF- HA/VA/DA-30

RMSE = 2.74 (SD = 0.96) kJ/min, RMSE = 115.56 (SD = 27.35) J/min/kg, RMSE = 1.56 (SD = 0.36) METs

?

AG-ANN- HA/VA/DA-30

RMSE = 2.86 (SD = 0.95) kJ/min, RMSE = 121.51 (SD = 29.57) J/min/kg, RMSE = 1.66 (SD = 0.39) METs

?

GA-LM- HA/VA/DA-30

RMSE = 2.89 (SD = 0.95) kJ/min, RMSE = 123.79 (SD = 31.28) J/min/kg, RMSE = 1.68 (SD = 0.39) METs

?

GA-MLM- HA/VA/DA-30

RMSE = 2.90 (SD = 0.98) kJ/min, RMSE = 124.70 (SD = 32.95) J/min/kg, RMSE = 1.69 (SD = 0.42) METs

?

GA-RF- HA/VA/DA-30

RMSE = 2.73 (SD = 1.00) kJ/min, RMSE = 112.57 (SD = 28.83) J/min/kg, RMSE = 1.53 (SD = 0.38) METs

?

GA-ANN- HA/VA/DA-30

RMSE = 2.83 (SD = 0.98) kJ/min, RMSE = 118.04 (SD = 29.80) J/min/kg, RMSE = 1.66 (SD = 0.43) METs

?

Left hip

AG-LM- HA/VA/DA-30

RMSE = 2.84 (SD = 0.94) kJ/min, RMSE = 123.64 (SD = 31.82) J/min/kg, RMSE = 1.67 (SD = 0.41) METs

?

AG-MLM- HA/VA/DA-30

RMSE = 2.81 (SD = 0.99) kJ/min, RMSE = 123.58 (SD = 31.94) J/min/kg, RMSE = 1.67 (SD = 0.41) METs

?

AG-RF- HA/VA/DA-30

RMSE = 2.60 (SD = 0.97) kJ/min, RMSE = 112.32 (SD = 28.40) J/min/kg, RMSE = 1.52 (SD = 0.38) METs

?

AG-ANN- HA/VA/DA-30

RMSE = 2.78 (SD = 1.01) kJ/min, RMSE = 116.89 (SD = 28.41) J/min/kg, RMSE = 1.63 (SD = 0.42) METs

?

Right wrist

GA-LM- HA/VA/DA-30

RMSE = 2.85 (SD = 0.83) kJ/min, RMSE = 125.60 (SD = 28.52) J/min/kg, RMSE = 1.69 (SD = 0.38) METs

?

GA-MLM- HA/VA/DA-30

RMSE = 2.83 (SD = 0.87) kJ/min, RMSE = 125.42 (SD = 28.74) J/min/kg, RMSE = 1.69 (SD = 0.38) METs

?

GA-RF- HA/VA/DA-30

RMSE = 2.56 (SD = 0.83) kJ/min, RMSE = 109.34 (SD = 26.98) J/min/kg, RMSE = 1.48 (SD = 0.37) METs

?

GA-ANN- HA/VA/DA-30

RMSE = 2.74 (SD = 0.88) kJ/min, RMSE = 115.91 (SD = 28.55) J/min/kg, RMSE = 1.62 (SD = 0.40) METs

?

Non-dominant wrist

GA-LM- HA/VA/DA-30

RMSE = 2.83 (SD = 0.86) kJ/min, RMSE = 125.21 (SD = 27.38) J/min/kg, RMSE = 1.70 (SD = 0.37) METs

?

GA-MLM- HA/VA/DA-30

RMSE = 2.83 (SD = 0.89) kJ/min,

RMSE = 124.91 (SD = 27.58) J/min/kg, RMSE = 1.69 (SD = 0.38) METs

?

GA-RF- HA/VA/DA-30

RMSE = 2.56 (SD = 0.83) kJ/min, RMSE = 108.64 (SD = 26.33) J/min/kg, RMSE = 1.47 (SD = 0.36) METs

?

GA-ANN- HA/VA/DA-30

RMSE = 2.72 (SD = 0.91) kJ/min, RMSE = 114.01 (SD = 27.88) J/min/kg, RMSE = 1.61 (SD = 0.44) METs

?

Right thigh

aP-LM- HA/VA/DA-30

RMSE = 2.94 (SD = 0.91) kJ/min, RMSE = 126.22 (SD = 29.46) J/min/kg, RMSE = 1.69 (SD = 0.38) METs

?

aP-MLM- HA/VA/DA-30

RMSE = 2.92 (SD = 0.95) kJ/min, RMSE = 125.96 (SD = 29.86) J/min/kg, RMSE = 1.69 (SD = 0.39) METs

?

aP-RF- HA/VA/DA-30

RMSE = 2.76 (SD = 0.94) kJ/min, RMSE = 115.61 (SD = 27.93) J/min/kg, RMSE = 1.56 (SD = 0.38) METs

?

aP-ANN- HA/VA/DA-30

RMSE = 3.08 (SD = 1.00) kJ/min, RMSE = 125.98 (SD = 31.50) J/min/kg, RMSE = 1.81 (SD = 0.40) METs

?

Butte et al. (2014) [75]

n = 50

Age = 4.5 ± 0.8 (3 to 5) years

Sex = 50.0% girls

cpm

Laboratory (structured activities)

Indirect calorimetry using breath-by-breath VO2 and VCO2 to determine minute-by-minute EE

I

Right hip

AG-CSTS-VA/HA/DA/VM-60

MAPE = -0.2 ± 6.7%, MAE = -0.005 ± 0.07 kcal/min, RMSE = 0.07 kcal/min, R2 = .88

 + 

Very low

AG-MARS-VA/HA/DA/VM-60

MAPE = 1.1 ± 6.6%, MAE = 0.009 ± 0.07 kcal/min, RMSE = 0.07 kcal/min

?

n = 105

Age = 4.6 ± 0.9 years

Sex = 66.7% girls

Activity intensity: SB, LPA, MPA, and VPA

Free-living

Indirect calorimetry using DLW to determine AEE

I

AG-B-VM-60

accuracy = 70%

SB: Sp = 83%

LPA: Sp = 64%

MPA: Sp = 35%

VPA: Sp = 38%

MVPA collapsed: accuracy = 74%

-

(SB + ; PA -)

AG-B-HA-60

accuracy = 68%

SB: Sp = 82%

LPA: Sp = 58%

MPA: Sp = 37%

VPA: Sp = 27%

MVPA collapsed: accuracy = 71%

-

(SB + ; PA -)

Chest

Ah-B-HA-60

accuracy = 70%; Sp:

SB: Sp = 81%

LPA: Sp = 64%

MPA: Sp = 48%

VPA: Sp = 39%

MVPA collapsed: accuracy = 74%

-

(SB + ; PA -)

Convergent validity

Sirard et al. (2005) [81]

n = 269 (n = 69 3-, n = 125 4-, n = 75 5-year-olds)

Sex = 58% 3-, 52% 4-, 52% 5-year-old girls

Activity intensity: SB, LPA, MPA and VPA

Free-living (at preschool)

DVO using CARS to score activity type and derive activity intensity (SB: stationary, motionless or with trunk/limb movements; LPA: slow/easy movement; MPA: moderate movement; VPA: fast movement) by a single rater (beginning and end of video by four additional raters)

VG

Right hip

AG-Si-VA-15

Total counts: rp = .58***

SB: rp = .70***, Se (94.4 to 100%), Sp (91.7 to 100%)

LPA: rp = .59***

VPA: rp = .61***, Se (95.8 to 100%), Sp (80.0 to 83.3%)

MPA: rp = .50***, Se (86.7 to 94.4%), Sp (66.7 to 100%)

MVPA: rp = .46***

+ 

(SB + ; PA +)

High

(level 1)

Peirera et al. (2020) [74]

n = 60

Age = 2.7 ± 0.4 (1.8 to 3.5) years

Sex = 50% girls

% time spent in SB

Free-living (at childcare)

aP-PRE-uni-n.r. at right thigh

(SB: sitting/lying)

VG

Hip

 

All outside the ± 10% equivalent interval of (-4.05 to 4.05)

 

Moderate

(level 2)

AG-C-VA-5

bias = -5.11, 90% CI (-7.90 to -2.32)

?

AG-Ev-VA-15

bias = 8.15, 90% CI (5.44 to 10.86)

?

AG-T12-VA-15

bias = 4.46, 90% CI (1.65 to 7.28)

?

AG-K-VA-15

bias = -7.95, 90% CI (-11.01 to -4.89)

?

AG-Pa-VA-15

bias = 6.17, 90% CI (3.40 to 8.93)

?

AG-Pa2-VA-15

bias = -9.26, 90% CI (-12.32 to -6.21)

?

AG-Re-VA-60

bias = -40.52, 90% CI (-43.82 to -37.22)

?

AG-Si-VA-15

bias = -15.07, 90% CI (-18.16 to -11.97)

?

AG-vC-VA-15

bias = -18.71, 90% CI (-21.89 to -15.54)

?

Dobell et al. (2019) [58]

n = 62

Age = 3.5 ± 0.5 (3 to 5) years

Sex = 45.5% girls

Activity intensity: SB, LPA, and MVPA

Free-living (free-play in nursery)

DO using OSRAC-P (modified) to score activity type and derive activity intensity (SB: stationary/ motionless; LPA: stationary torso with limb and slow/easy movement; MVPA: moderate and fast movement) by two independent raters

VG

Non-dominant wrist

AG-cts-VM-5/10/15/30

rsp = .34, R2 = .11* (5 s) to rsp = .48, R2 = .23* (30 s)

SB: AUC-ROC (.71 to .78), Se (.64 to .68), Sp (.64 to .78)

LPA: AUC-ROC (.55 to .56), Se (.74 to .80), Sp (.33 to .43)

MVPA: AUC-ROC (.67 to .78), Se (.63 to .80), Sp (.80 to .82)

-

(SB -;

PA -)

Moderate

(level 2)

Right hip

AG-cts-VA-5/10/15/30

rsp = .38, R2 = .16* (5 s) to rsp = .52, R2 = .27* (10 s)

SB: AUC-ROC (.69 to .77), Se (.61 to .72), Sp (.69 to .72)

LPA: AUC-ROC (.53 to .54), Se (.59 to .76), Sp (.39 to .50)

MVPA: AUC-ROC (.71 to .81), Se (.55 to .70), Sp (.77 to .79)

-

(SB -;

PA -)

AG-cts-VM-5/10/15/30

rsp = .40, R2 = .16* (5 s) to rsp = .55, R2 = .30* (30 s)

SB: AUC-ROC (.73 to .79), Se (.69 to .72), Sp (.67 to .75)

LPA: AUC-ROC = .55, Se (.78 to .82), Sp (.35 to .36)

MVPA: AUC-ROC (.72 to .82), Se (.68 to .78), Sp (.62 to .79)

-

(SB -; PA -)

Ahmadi, Pavey, & Trost (2020) [85]

n = 31

Age = 4.0 ± 0.9 (3 to 5) years

Sex = 29.0% girls

Activity intensity: SB, LPA, MVPA, run and walk

Free-living (20 min active play session)

DVO using customized scheme to score activity type and derive activity intensity (SB: sitting/lying down, and stationary, motionless; LPA: standing, stationary, movement of the limbs/trunk, easy translocation, MPA: moderate and fast translocation; walk: translocation, medium speed; run: translocation (very) fast)

VG

Right hip

AG-RF-VM-1

Time and frequency features: F-score = 70.6%, + temporal features: F-score = 75.8%

SB: F-score = 73.3%, + temporal: F-score = 80.0%

LPA: F-score = 76.0%, + temporal: F-score = 80.4%

MVPA: F-score = 61.0%, + temporal: F-score = 65.2%

Walk: F-score = 55.7%, + temporal: F-score = 62.9%

Run: F-score = 53.1%, + temporal: F-score = 67.2%

-

Low

(level 1)

AG-RF-VM-5

Time and frequency features: F-score = 79.5%, + temporal features: F-score = 82.2%

SB: F-score = 80.6%, + temporal: F-score = 85.7%

LPA: F-score = 82.7%, + temporal: F-score = 85.6%

MVPA: F-score = 75.5%, + temporal: F-score = 76.3%

Walk: F-score = 69.8%, + temporal: F-score = 68.8%

Run: F-score = 71.2%, + temporal: F-score = 72.8%

- (incl. temp

oral ±)

AG-RF-VM-10

Time and frequency features: F-score = 83.1%, + temporal features: F-score = 85.3%

SB: F-score = 82.3%, + temporal: F-score = 87.6%

LPA: F-score = 85.7%, + temporal: F-score = 87.9%

MVPA: F-score = 77.6%, + temporal: F-score = 76.4%

Walk: F-score = 80.7%, + temporal: F-score = 81.0%

Run: F-score = 74.4%, + temporal: F-score = 73.6%

 ± 

 

AG-RF-VM-15

Time and frequency features: F-score = 84.0%, + temporal features: F-score = 85.9%

SB: F-score = 85.0%, + temporal: F-score = 87.7%

LPA: F-score = 86.8%, + temporal: F-score = 88.2%

MVPA: F-score = 75.3%, + temporal: F-score = 78.5%

Walk: F-score = 78.4%, + temporal: F-score = 79.4%

Run: F-score = 80.0%, + temporal: F-score = 82.6%

± 

Non-dominant wrist

AG-RF-VM-1

Time and frequency features: F-score = 62.6%, + temporal features: F-score = 68.8%

SB: F-score = 63.3%, + temporal: F-score = 69.2%

LPA: F-score = 71.4%, + temporal: F-score = 75.5%

MVPA: F-score = 45.7%, + temporal: F-score = 57.5%

Walk: F-score = 45.9%, + temporal: F-score = 54.8%

Run: F-score = 55.1%, + temporal: F-score = 61.6%

-

AG-RF-VM-5

Time and frequency features: F-score = 70.8%, + temporal features: F-score = 75.5%

SB: F-score = 69.3%, + temporal: F-score = 78.%

LPA: F-score = 76.5%, + temporal: F-score = 80.1%

MVPA: F-score = 60.9%, + temporal: F-score = 66.9%

Walk: F-score = 60.7%, + temporal: F-score = 60.3%

Run: F-score = 68.5%, + temporal: F-score = 68.8%

-

AG-RF-VM-10

Time and frequency features: F-score = 74.5%, + temporal features: F-score = 80.0%

SB: F-score = 73.7%, + temporal: F-score = 82.4%

LPA: F-score = 79.1%, + temporal: F-score = 82.9%

MVPA: F-score = 62.0%, + temporal: F-score = 70.3%

Walk: F-score = 68.8%, + temporal: F-score = 70.8%

Run: F-score = 73.4%, + temporal: F-score = 71.5%

- (incl. temp

oral ±)

AG-RF-VM-15

Time and frequency features: F-score = 77.3%, + temporal features: F-score = 80.6%

SB: F-score = 78.2%, + temporal: F-score = 83.3%

LPA: F-score = 81.2%, + temporal: F-score = 83.7%

MVPA: F-score = 62.1%, + temporal: F-score = 70.7%

Walk: F-score = 70.5%, + temporal: F-score = 69.0%

Run: F-score = 82.4%, + temporal: F-score = 82.4%

- (incl. temp

oral ±)

Right hip + Non-dominant wrist

AG-RF-VM-1

Time and frequency features: F-score = 72.5%, + temporal features: F-score = 76.8%

SB: F-score = 75.8%, + temporal: F-score = 80.8%

LPA: F-score = 77.7%, + temporal: F-score = 81.0%

MVPA: F-score = 62.1%, + temporal: F-score = 66.7%

Walk: F-score = 58.4%, + temporal: F-score = 64.9%

Run: F-score = 64.5%, + temporal: F-score = 67.9%

-

AG-RF-VM-5

Time and frequency features: F-score = 79.6%, + temporal features: F-score = 82.1%

SB: F-score = 81.6%, + temporal: F-score = 86.0%

LPA: F-score = 82.8%, + temporal: F-score = 85.6%

MVPA: F-score = 74.3%, + temporal: F-score = 74.5%

Walk: F-score = 70.1%, + temporal: F-score = 69.5%

Run: F-score = 71.7%, + temporal: F-score = 72.5%

- (incl. temp

oral ±)

AG-RF-VM-10

Time and frequency features: F-score = 83.2%, + temporal features: F-score = 85.3%

SB: F-score = 83.9%, + temporal: F-score = 87.5%

LPA: F-score = 85.8%, + temporal: F-score = 87.9%

MVPA: F-score = 75.6%, + temporal: F-score = 77.2%

Walk: F-score = 79.5%, + temporal: F-score = 80.7%

Run: F-score = 74.9%, + temporal: F-score = 73.0%

- (incl. temp

oral ±)

AG-RF-VM-15

Time and frequency features: F-score = 84.3%, + temporal features: F-score = 86.4%

SB: F-score = 85.5%, + temporal: F-score = 88.7%

LPA: F-score = 86.4%, + temporal: F-score = 88.4%

MVPA: F-score = 77.1%, + temporal: F-score = 78.0%

Walk: F-score = 78.1%, + temporal: F-score = 79.8%

Run: F-score = 86.6%, + temporal: F-score = 86.8%

± 

Hislop et al. (2012) [70]

n = 31

Age = 4.4 ± 0.8 years

Sex = 51.6% girls

cpm and % time spent in MVPA

Free-living (unstructured outdoor free play during preschool)

DVO using CARS (modified) to score activity type and derive activity intensity (MVPA: moderate/fast translocation) by one rater

VG

Right hip

AG-cts-VA-15

rsp = .39*

-

Low

(level 1)

RT-cts-VM-15

rsp = .56**

-

AG-Si-VA-15

MD = 0.8 min*

?

RT-Swr-VM-15

MD = -12.2 min*

?

RT-Slj-VM-15

MD = 0 min

?

Hislop et al. (2012) [61]

n = 31

Age = 4.4 ± 0.8 years

Sex = 51.6% girls

Activity intensity: SB, LPA, and MVPA

Free-living (unstructured outdoor free play during preschool)

DVO using CARS to score activity type and derive activity intensity (SB: stationary, motionless or with movement of limbs/trunk; LPA: easy translocation; MVPA: moderate/fast translocation) by one rater

VG

Right hip

AG-Ev-VA-15

SB: MD = 13.2, LoA (-2.2 to 28.6)**

?

Low

(level 1)

AG-Si-VA-15

SB: MD = -7.2, LoA (-20.2 to 5.7)**; LPA: MD = 6.3, LoA (-6.0 to 18.6)**

MVPA: MD = 0.8, LoA (-6.2 to 7.8)

?

AG-Puy-VA-15

SB: MD = 0.4, LoA (-13.25 to 13.99); LPA: MD = -2.2, LoA (-15.0 to 10.5)

MVPA: MD = 1.7, LoA (-8.0 to 11.5)

?

AG-vC-VA-15

SB: MD = -8.2, LoA (-22.7 to 6.2)**; LPA: MD = 11.4, LoA (-1.4 to 24.2)**

MVPA: MD = -3.3, LoA (-11.8 to 5.3)**

?

AG-Pa-VA-15

MVPA: MD = -8.7, LoA (-19.9 to 2.5)**

?

AG-Re-VA-15

SB: MD = -3.6, LoA (-17.6 to 10.4)**

?

Hislop et al. (2016) [76]

n = 32

Age = 4.20 ± 0.5 (3 to 5) years

Sex = 34.4% girls

Activity intensity: SB, LPA, MVPA and total PA

Free-living

(free-play in nursery)

DVO using CARS (modified) to score activity type and derive activity intensity (SB: stationary, motionless; LPA: stationary, movement of the trunk/limbs and easy translocation; MVPA: moderate and fast translocation)

VG

Non-dominant wrist

AG-J13-VM-5

Total PA: MD = 1.1, LoA (-9.9 to 12.1)

Locomotion CARS vs. high intensity: MD = -2.0, LoA (-9.4 to 5.4)

No clear agreement MVPA: MD = -9.3, LoA (-20.0 to 1.5); Locomotion vs. high wrist estimate: MD = 3.4, LoA (-3.1 to 10.0); Standing vs. low wrist estimate: MD = 2.8, LoA (-10.3 to 16.4)

?

Low

(level 1)

Waist

AG-Ev-VA-5

No clear agreement: Total PA: MD = 6.3, LoA (-8.8 to 21.4); MVPA: MD = -3.8, LoA (-10.7 to 3.1); Locomotion: MD = 3.4, LoA (-3.1 to 10.0); Standing: MD = 2.8, LoA (-10.3 to 16.4)

?

Martin et al. (2011) [72]

n = 23

Age = 4.5 ± 0.7 years

Sex = 60.9% girls

SB and total PA

Free-living

aP-PRE-uni-n.r. at right thigh (SB: sitting/lying, and quiet standing)

VG

Right hip

AG-Re-VA-60

rsp = .66***, MD = -2.1 ± 4.6%, LoA (-11.4 to 7.2%)*

Corrected (counts increased by 9%): rsp = .68***, MD = -4.3 ± 4.8%, LoA (-14.0 to 5.4%)***

+ 

Low

(level 2)

van Cauwenberghe et al. (2012) [64]

n = 49

Age = 4.0 ± 0.5 (3 to 4) years

Sex = 55.1% girls

SB and total PA

Free-living (at childcare)

aP-PRE-uni-n.r. at right thigh

(SB: sitting/lying)

VG

Right hip

Ac-Ev-omni-15

accuracy = 73.0%, κ = .46, 95% CI (.45 to .47)

MD = 1.3 min; 0.1%, LoA (-59.4 to 61.9); 39.2%

-

Low

(level 2)

Kahan, Nicaise, & Reuben (2013) [71]

n = 12

Age = 4.7 ± 0.3 years

Sex = 75.0% girls

Activity intensity: SB and MVPA

Free-living (unstructured outdoor free play)

DO using OSRAC-P to score activity type and derive activity intensity (SB: stationary, motionless or with limb/trunk movement, light activity; MVPA: moderate/ vigorous activity) scored by one rater

VG

Right hip

AG-Si-VA-5

accuracy = 81.2, 95% CI (79.2 to 83.1), κ = .48

SB: Se = 81.4%, Sp = 50.7%, bias = -8.1%

MVPA: Se = 35.8%, Sp = 87.6%, bias = 4.7%

± 

(SB ± ; PA ±)

Low

(level 2)

AG-vC-VA-5

accuracy = 78.5, 95% CI (76.4 to 80.3), κ = .48

SB: Se = 80.0%, Sp = 52.4%, bias = -8.6%

MVPA: Se = 53.9%, Sp = 79.1%, bias = -5.3%

-

(SB ± ; PA -)

AG-Ev-VA-5

accuracy = 79.9, 95% CI (77.5 to 82.1), κ = .58

SB: Se = 75.2%, Sp = 66.4%, bias = 36.3%***

MVPA: Se = 54.8%, Sp = 78.9%, bias = -5.9%

-

(SB -; PA -)

AG-Pa-VA-5

accuracy = 77.2, 95% CI (74.9 to 79.4), κ = .53

SB: Se = 50.0%, Sp = 58.7%, bias = 33.2%***

MVPA: Se = 62.7%, Sp = 72.2%, bias = -15.8%***

-

(SB -; PA -)

Alhassan et al. (2017) [56]

n = 33

Age = 4.4 ± 0.8 (2.9 to 5) years

Sex = 36.4% girls

Counts

Free-living (at preschool)

Aw-cts-uni-15 at non-dominant wrist

VG

Waist

AG-cts-VA-15

rsp = .41***

-

Low

(level 2)

Activity intensity: SB, LPA, MPA, and VPA

Free-living

(at preschool)

DO using OSRAC-P (modified) to score activity type and derive activity intensity (SB: stationary, motionless or with trunk/limb movement; LPA: easy translocation; MPA: moderate translocation; VPA: vigorous translocation) by one rater

A

VG (for MVPA)

AG-cts-VA-15

rsp = .47***

-

Low (MVPA)

Very low (rest)

(level 2)

AG-Si-VA-15

accuracy = 50.3%, κ = .13, κw = .19

SB: accuracy = 62.7%, κ = .26, Se = 87.4%, Sp = 38.2%

LPA: accuracy = 65.0%, κ = .01, Se = 18.5%, Sp = 82.2%

MPA: accuracy = 86.3%, κ = .06, Se = 10.0%, Sp = 95.1%

VPA: accuracy = 86.5%, κ = .06, Se = 5.3%, Sp = 98.5%

MVPA: accuracy = 76.9%, κ = .15, Se = 16.2%, Sp = 95.2%

-

(SB -; PA -)

AG-Pa-VA-15

accuracy = 44.1%, κ = .21, κw = .32

SB: accuracy = 61.5%, κ = 0.40, Se = 60.1%, Sp = 79.7%

LPA: accuracy = 60.7%, κ = .13, Se = 51.1%, Sp = 64.3%

MPA: accuracy = 80.3%, κ = .09, Se = 24.0%, Sp = 86.8%

VPA: accuracy = 86.1%, κ = .19, Se = 18.0%, Sp = 96.2%

MVPA: accuracy = 75.3%, κ = .27, Se = 39.8%, Sp = 86.0%

-

(SB -; PA -)

Non-dominant wrist

Aw-cts-uni-15

rsp = .47***

-

Aw-Ek-uni-15

accuracy = 50.3%, κ = .13, κw = .19

SB: accuracy = 65.47%, κ = 0.31, Se = 41.5%, Sp = 89.1%

LPA: accuracy = 53.8%, κ = .10, Se = 62.3%, Sp = 50.7%

MPA: accuracy = 82.8%, κ = .11, Se = 22.0%, Sp = 89.7%

VPA: accuracy = 86.3%, κ = .31, Se = 33.9%, Sp = 94.0%

MVPA: accuracy = 77.5%, κ = .35, Se = 46.9%, Sp = 86.8%

-

(SB -; PA -)

Ahmadi et al. (2020) [83]

n = 31

Age = 4.0 ± 0.9 (3 to 5) years

Sex = 29% girls

Activity intensity: SB, LPA, MVPA, run, and walk

Free-living (play session)

DVO using customized scheme to score activity type and derive activity intensity (SB: sitting/lying down, and stationary, motionless; LPA: standing, stationary, movement of the limbs/trunk, easy translocation, MPA: moderate and fast translocation; walk: translocation, medium speed; run: translocation (very) fast)

A

Non-dominant wrist

AG-RF-VM-15

accuracy = 59.1%, 95% CI (57.1 to 61.1%), κ = .37

SB: accuracy = 76.8%

LPA: accuracy = 57.5%

MVPA: accuracy = 83.6%

Walk: accuracy = 14.8%

Run: accuracy = 68.7%

Excl. multiple activities: walk accuracy (14.8 to 43.8%) and run accuracy (68.7 to 100%)

-

(SB -; PA -)

Very low

(level 1)

AG-SVM-VM-15

accuracy = 59.3%, 95% CI (57.3 to 61.3%), κ = .37

SB: accuracy = 76.8%

LPA: accuracy = 58.3%

MVPA: accuracy = 82.6%

Walk: accuracy = 12.3%

Run: accuracy = 70.1%

Excl. multiple activities: walk accuracy (12.3 to 45.8%) and run accuracy (70.1 to 100%)

-

(SB -; PA -)

Right hip

AG-RF-VM-15

accuracy = 69.4%, 95% CI (67.4 to 71.2%), κ = .48

SB: accuracy = 71.7%

LPA: accuracy = 79.3%

MVPA: accuracy = 71.3%

Walk: accuracy = 10.4%

Run: accuracy = 74.5%

Excl. multiple activities: walk accuracy (10.4 to 29.2%) and run accuracy (74.5 to 100%)

-

(SB -; PA -)

AG-SVM-VM-15

accuracy = 66.4%, 95% CI (64.4 to 68.3%), κ = .45

SB: accuracy = 77.7%

LPA: accuracy = 71.1%

MVPA: accuracy = 73.0%

Walk: accuracy = 8.9%

Run: accuracy = 65.8%

Excl. multiple activities: walk accuracy (8.9 to 33.3%) and run accuracy (65.8 to 100%)

-

(SB -; PA -)

Trost et al. (2018) [89]

n = 11

Age = 4.8 ± 0.87 (3 to 6) years

Sex = 55% girls

Activity intensity: SB, LPA, MVPA, run, and walk

Laboratory (semi-standardized activities

DO to score activity type and determine activity intensity based on preschool-specific MET thresholds (SB < 1.5 METs, LPA 1.5–2.7, MPA 2.8–3.4 VPA ≥ 3.5)

A

Non-dominant wrist

AG-SVM-VM-15

accuracy = 80.4%, 95% CI (78.9 to 81.9%), κw = .73, CV κw = .78

SB: accuracy = 90.0%

LPA: accuracy = 73.7%

MVPA: accuracy = 78.6%

Walk: accuracy = 70.6%

Run: accuracy = 71.2%

+ 

(SB + ; PA -)

Very low

(level 2)

AG-RF-VM-15

accuracy = 78.1%, 95% CI (76.6 to 79.9%), κw = .70, CV κw = .76

SB: accuracy = 89.1%

LPA: accuracy = 68.7%

MVPA: accuracy = 79.1%

Walk: accuracy = 61.1%

Run: accuracy = 68.8%

± 

(SB + ; PA -)

AG-T18-VA-15

κw = .64

-

AG-T18-VM-15

κw = .49

-

Right hip

AG-SVM-VM-15

accuracy = 81.3%, 95% CI (79.9 to 82.8%), κw = .74, CV κw = .82

SB: accuracy = 94.0%

LPA: accuracy = 76.8%

MVPA: accuracy = 76.0%

Walk: accuracy = 63.5%

Run: accuracy = 69.8%

+ 

(SB + ; PA -)

AG-RF-VM-15

accuracy = 80.2%, 95% CI (79.9 to 81.6%), κw = .72, CV κw = .81

SB: accuracy = 93.2%

LPA: accuracy = 72.1%

MVPA: accuracy = 76.7%

Walk: accuracy = 61.1%

Run: accuracy = 73.0%

± 

(SB + ; PA -)

AG-T18-VA-15

κw = .65

-

AG-T18-VM-15

κw = .61

-

Non-dominant wrist + hip

AG-SVM-VM-15

accuracy = 85.2%, 95% CI (83.8 to 86.5%), κw = .80, CV κw = .84

SB: accuracy = 94.7%

LPA: accuracy = 80.2%

MVPA: accuracy = 81.7%

Walk: accuracy = 69.7%

Run: accuracy = 82.3%

+ 

(SB + ; PA +)

AG-RF-VM-15

accuracy = 81.8%, 95% CI (80.4 to 83.2%), κw = .75, CV κw = .81

SB: accuracy = 93.0%

LPA: accuracy = 73.9%

MVPA: accuracy = 80.7%

Walk: accuracy = 63.0%

Run: accuracy = 75.3%

 + 

(SB + ; PA +)

Finn & Specker (2000) [60]

n = 40

Age = (3 to 4) years

Sex = 60% girls

Mean activity counts (3-min)

Free-living

DVO using CARS (3-min average) to score activity type and derive activity intensity (SB: stationary, motionless or with movement of limbs/trunk; LPA: easy translocation; MVPA: moderate/fast translocation) by two independent raters

D

Waist

Aw-cts-uni-60

r = .03 to r = .92 (median = .74)

More active children higher association between CARS and counts: within-child correlation coefficients vs. CARS r = .37* or counts r = .31

PA: -

Very low

(level 1)

Brønd et al. (2020) [86]

n = 29

Age = 4.4 (3 to 6) years

Sex = n.r. % girls

Activity type: Sit, stand, run, walk, and bike

Free-living (structured activities at school)

DO to score activity type (sit: on floor/chair playing; stand: stand close to table playing; run: run together with instructor; walk: walks together with instructor; bike: on running bike) by one rater

D

Thigh

AX-DT-HA/VA/DA-2

Sit: Se = 100%, Sp = 100%

Stand: Se = 100%, Sp = 99.8%

Bike (sitting bike): Se = 64.8%, Sp = 100%

Walk: Se = 82.6%, Sp = 98.1%

Run: Se = 92.4%, Sp = 95.0%

+ 

Very low

(level 2)

Zhao et al. (2013) [90]

n = 69

Age = (3 to 5) years

Sex = 55% girls

Activity type: Sleep, rest, quiet play, low active play, moderately active play, and very active play

Laboratory (structured activities)

DO to score activity type (sleep: lying and sleeping; rest: watching tv, quiet play: sitting while coloring, puzzle, video game; low active play: stand and play; moderately active play: standing while ball toss, active video game, dance; very active play: running in place)

D

Right hip

AG-SVM -VA/HA/DA/VM-60

accuracy = 75.3%

Sleep: accuracy = 91.44%

Rest: accuracy = 65.66%

Quiet play: accuracy = 74.07%

Low active play: accuracy = 68.49%

Moderately active play: accuracy = 93.73%

Very active play: accuracy = 98.73%

Misclassification highest for sleep (31.6%) and quiet play (33.0%)

± 

Very low

(level 2)

 

AG-MLR—VA/HA/DA/VM-60

accuracy (67.2 to 73.2%)

-

Hagenbuchner et al. (2015) [87]

n = 11

Age = 4.8 ± 0.87 (3 to 6) years

Sex = 55% girls

Activity intensity: SB, LPA, MVPA, run, and walk

Laboratory

(activity trials)

DO to score activity type and derive activity intensity (SB: watching tv, tablet/computer, reading, quiet play; LPA: clean up toys, standing art, treasure hunt; MVPA: bicycle riding, obstacle course, active game; walk: walk at self-selected pace; run: run at self-selected speed)

D

Right hip

AG-MLP-VM-60

accuracy = 69.7%

SB: accuracy = 81.8%

LPA: accuracy = 78.8%

MVPA: accuracy = 63.6%

Walk: accuracy = 36.4%

Run: accuracy = 45.5%

-

(SB + ; PA -)

Very low

(level 2)

AG-SOM-VM-60

accuracy = 53.8%

SB: accuracy = 59.1%

LPA: accuracy = 57.6%

MVPA: accuracy = 66.7%

Walk: accuracy = 36.4%

Run: accuracy = 0.0%

-

(SB -; PA -)

AG-DLEN-VM-60

accuracy = 82.6%

SB: accuracy = 84.1%

LPA: accuracy = 90.9%

MVPA: accuracy = 78.8%

Walk: accuracy = 72.7%

Run: accuracy = 72.7%

± 

(SB + ; PA -)

de Bock et al. (2010) [68]

n = 33

Age = 3.5 ± 0.8 (boys); 4.3 ± 1.1 (girls) years

Sex = 36.36% girls

Activity intensity: SB and MVPA

Free-living (at preschool)

DO using CARS to score activity type and derive activity intensity (SB: stationary, motionless or with trunk/limb movement; MVPA: easy, moderate, and fast translocation) by five independent raters

D

Chest

Ah-dB-VA-15

Calibration

MVPA: AUC-ROC = .86

SB: AUC-ROC = .79

Cross-validation

SB: accuracy 67% (boys), 69% (girls); Sp = 52% (boys), 61% (girls); Se = 78% (boys), 75% (girls)

MVPA: accuracy = 84% (boys), 87% (girls)

-

(SB -;

PA +)

Very low

(level 2)

Fairweather et al. (1999) [59]

n = 11

Age = 3.7 ± 0.5 years

Sex = 72.7% girls

Mean cpm

Free-living (exercise class)

DO using 1-min average CPAF score (ranging from 1 to 4) scored by one rater

D

Right hip

CSA-cts-uni-60

r = .87***, rsp = .79**

PA: + 

Very low

(level 2)

n = 10

Age = 4.0 ± 0.4 years

Sex = 90% girls

CSA at left hip

r = .92**, MD = 31 (SD = 64, 95% CI (1 to 61)*, rsp = .97**

Relative PA assessment largely unaffected by location

PA: + 

Klesges & Klesges (1987) [62]

n = 28

Age = 33.9 ± 8.0 months

Sex = 43.3% girls

Total PA (all-day) and hourly PA

Free-living (unstructured activities)

DO using FATS to score behavior and intensity

D

Left hip

CPAC-cts-uni-n.r

r = .54*** (total PA); r = .62** to .95*** (hourly PA)

Behavior: lying rsp = -.37; sitting rsp = -.26; standing rsp = .60**; walking rsp = .50**; running rsp = .37

Intensity: minimal rsp = -.51**; moderate rsp = .51**; extreme rsp = .40*

Summary: correlations higher for older children (< 32.5 months rsp = .39; > 32.5 months rsp = .80***), girls (rsp = ,67*, boys rsp = .43), and obese children (rsp = .75*, normal weight rsp = .46*)

PA: ± 

Very low

(level 2)

Klesges et al. (1985) [63]

n = 30

Age = 47.7 ± 12.5 months

Sex = 40% girls

Total PA

Free living (free play)

DO using FATS to score behavior and intensity

D

Left hip

CPAC-cts-uni-n.r

Behavior: r = .38*, rsp = .28: lying r = .17, rsp = -.18; sitting r = -.31*, rsp = -.32*; crawling r = -.22, rsp = -.20; climbing r = -.06, rsp = .02; standing r = .35*, rsp = .37*; walking r = -.11, rsp = -.03; running r = .32*, rsp = .22

Intensity: r = .32*, rsp = .29: minimal r = -.27, rsp = -.23; moderate r = .05, rsp = .07; extreme r = .44**, rsp = .43**

Summary: r = .40**, rsp = .36*

PA: -

Very low

(level 2)

Right hip

LSI-cts-uni-n.r

Behavior: r = .38*, rsp = .28: lying r = .17, rsp = -.18; sitting r = -.31*, rsp = -.32*; crawling r = -.22, rsp = -.20; climbing r = -.06, rsp = .02; standing r = .35*, rsp = .37*; walking r = -.11, rsp = -.03; running r = .32*, rsp = .22

Intensity: r = .32*, rsp = .29: minimal r = -.27, rsp = -.23; moderate r = .05, rsp = .07; extreme r = .44**, rsp = .43**

Summary: r = .40**, rsp = .36*

PA: -

Ettienne et al. (2016) [69]

n = 30

Age = 3.5 ± 0.6 years

Sex = 43% girls

Activity intensity: SB, LPA, and MVPA

Free-living (during preschool)

DO using (modified) SOFIT to score activity type and derive activity intensity (SB: lying; LPA: sitting, standing; MVPA: walking, very active)

D

Non-dominant wrist

Ac-Sc-omni-60

accuracy = 74%, κw = .17***

391 min classified as MVPA, whereas DO class was LPA; 406 min DO classified as MVPA and accelerometer as LPA

-

Very low

(level 2)

Djafarian et al. (2013) [57]

n = 42

Age = 4.1 ± 0.8 (3 to 5) years

Sex = 47.6% girls

cpm 1–10-min periods

Free-living (structured & unstructured)

DO using 1-min average CARS score

D

Non-dominant wrist

Aw-cts-uni-300

r = .52** (n = 21 cross-validation sample)

Measured (DO) vs. predicted (log accelerometry) CARS score MD = 0.025 (± 0.38), CI 95% with 0.74 CARS unit

PA: -

Very low

(level 2)

Davies et al. (2012) [82]

n = 30

Age = 4.1 ± 0.5 (3.1 to 4.9) years

Sex = 60% girls

Activity type: Sit/lie, stand, and walk

Free-living (usual nursery setting)

DVO using to score activity type (walk, sit, stand, lie, other (crouching down, kneeling up, crawling) by one rater

I

Right thigh

aP-PRE-uni-1

Time spent: sitting MD = -4.4%**, standing MD = 7.1%**

Sit/lie: Se = 86.7%, Sp = 97.1%, PPV = 96.3%

Stand: Se = 91.8%, Sp = 84.3%, PPV = 75.4%

Walk: Se = 80.3%, Sp = 95.9%, PPV = 78.4%

 + 

Very low

(level 1)

Johansson et al. (2015) [77]

Calibration

n = 26

Age = 26 ± 6.0 months

Sex = 38% girls

Cross-validation

n = 12

Age = 25 ± 5.6 (15 to 36) months

Sex = 50% girls

Activity intensity: SB, LPA, and MVPA

Free-living

(structured activities and free play at preschool)

DVO using CARS to score activity type and derive activity intensity (SB: stationary, motionless; LPA: stationary, movement of the limbs/trunk, easy translocation; MVPA: moderate and fast translocation)

I

Non-dominant wrist

AG-J13-VM-5

Calibration

SB: AUC-ROC = .98, CI (.95 to 1.0)

MVPA: AUC-ROC = .90, CI (.81 to .98)

Cross-validation

SB: rsp = .91

LPA: rsp = .77*

MVPA: rsp = .69*

 + 

(SB + ; PA

 ±)

Very low

(level 1)

AG-J13-VA-5

Calibration

SB: AUC-ROC = .98, CI (.95 to 1.0)

MVPA: AUC-ROC = .88, CI (.78 to .97)

Cross-validation

SB: rsp = .91

LPA: rsp = .89*

MVPA: rsp = .77*

 + 

(SB + ; PA

 +)

Johansson et al. (2016) [78]

n = 30

Age = 49.0 ± 3.7 months

Sex = 53% girls

Activity intensity: SB, LPA, and MVPA

Free-living

(structured indoor activities and free play at preschool)

DO using CARS to score activity type and derive activity intensity (SB: stationary, motionless; LPA: stationary, movement of the limbs/trunk, easy translocation; MVPA: moderate and fast translocation) by one rater

I

Left hip

AG-J16-VM-5

κqw = .86, 95% CI (.85 to .87), accuracy = 75%

SB: Se = 100%, Sp = 60%, AUC-ROC = .95

MVPA: Se = 70%, Sp = 93%, AUC-ROC = .91

+ 

(SB ± ; PA ±)

Very low

(level 2)

AG-J16-VA-5

κqw = .76, 95% CI (.74 to .77), accuracy = 68%

SB: Se = 100%, Sp = 60%, AUC-ROC = .93

MVPA: Se = 70%, Sp = 100%, AUC-ROC = .95

± 

(SB ± ; PA ±)

Non-dominant wrist

AG-J16-VM-5

κqw = .95, 95% CI (.94 to .96), accuracy = 82%

SB: Se = 100%, Sp = 60%, AUC-ROC = .99

MVPA: Se = 70%, Sp = 100%, AUC-ROC = .96

+ 

(SB ± ; PA ±)

AG-J16-VA-5

κqw = .92, 95% CI (.91 to .93), accuracy = 82%

SB: Se = 100%, Sp = 60%, AUC-ROC = .99

MVPA: Se = 70%, Sp = 100%, AUC-ROC = .95

+ 

(SB ± ; PA ±)

Reilly et al. (2003) [80]

n = 52

Age = 3.5 ± 0.5 (3 to 4) years

Sex = 59.62% girls

Activity intensity: SB

Free-living

DO using CPAF to score activity type and derive activity intensity

(SB: stationary, motionless or with limb movement) by one rater

I

Right hip

CSA-Re-uni-60

Se = 83%, 95% CI (78 to 86%)

Sp = 82%, 95% CI (89 to 86%)

SB: + 

Very low

(level 2)

Adolph et al. (2012) [51]

n = 64

Age = 4.5 ± 0.8 (3 to 5) years

Sex = 42.2% girls

Activity intensity: SB, LPA, and MVPA

Laboratory

DO using CARS to score activity type and derive CARS levels (1 to 5)

I

Chest

Ah-A-uni-60

accuracy = 72%, TPR = 82%

SB: accuracy = 75%

LPA: accuracy = 61%

MVPA: accuracy = 82%

-

(SB -; PA

 ±)

Very low

(level 2)

Right hip

Ac-A-omni-60

accuracy = 71%, TPR = 69%

SB: accuracy = 77%

LPA: accuracy = 63%

MVPA: accuracy = 69%

-

(SB -; PA

-)

RT-A-VM-60

accuracy = 73%, TPR = 79%

SB: accuracy = 76%

LPA: accuracy = 65%

MVPA: accuracy = 79%

-

(SB -; PA

 ±)

Li et al. (2020) [79]

n = 34

Age = 4.0 ± 0.5 (3 to 5) years

Sex = 58.8% girls

Activity intensity: SB, LPA, MPA, and VPA

Free-living (during preschool)

AG-B-VM-60

I

Right hip

AG-LiROC-VM-60

κ = .30, accuracy = 59.5%

SB: Se = 77.8%, Sp = 77.8%, FPR = 22.2%, FNR = 22.2%, κ = .54

LPA: Se = 26.8%, Sp = 87.5%, FPR = 12.5%, FNR = 73.2%, κ = .16

MPA: Se = 4.5%, Sp = 69.8%, FPR = 3.2%, FNR = 95.5%, κ = .02

VPA: = Se = 79.0%, Sp = 79.0%, FPR = 21.0%, FNR = 21.0%, κ = .11

MVPA collapsed: κ = .35, accuracy = 63.6%, Se = 78.9%, Sp = 78.9%, FPR = 20.1%, FNR = 21.1%, κ = .28

-

(SB -; PA -)

Very low

(level 2)

AG-LiOLR-VM-60

κ = .37, accuracy = 71.5%

SB: Se = 91.0%, Sp = 52.8%, FPR = 47.2%, FNR = 9.1%, κ = .47

LPA: Se = 43.3%, Sp = 86.5%, FPR = 56.7%, FNR = 13.5%, κ = .32

MPA: Se = 8.8%, Sp = 99.1%, FPR = 1.0%, FNR = 76.1%, κ = .12

VPA: Se = 23.9%, Sp = 99.0%, FPR = 1.0%, FNR = 76.1%, κ = .28

MVPA collapsed: κ = .39, accuracy = 72.4%, Se = 24.3%, Sp = 99.0%, FPR = 1.0%, FNR = 75.7%, κ = .33

-

(SB -; PA -)

AG-J13-VM-60

Non-dominant wrist

AG-Li4k-VM-60

κ = .37, accuracy = 63.7%

SB: Se = 71.6%, Sp = 85.1%, FPR = 14.9%, FNR = 28.4%, κ = .53

LPA: Se = 50.9%, Sp = 76.8%, FPR = 23.2%, FNR = 49.1%, κ = .27

MPA: Se = 48.4%, Sp = 86.8%, FPR = 13.2%, FNR = 51.6%, κ = .19

VPA: Se = 33.9%, Sp = 98.2%, FPR = 1.8%, FNR = 66.1%, κ = .31

MVPA collapsed: κ = .40, accuracy = 65.6%, Se = 68.4%, Sp = 86.6%, FPR = 13.4%, FNR = 31.6%, κ = .35

-

(SB -; PA -)

Pagels, Boldemann, & Raustorp (2011) [73]

n = 55

Age = 4.5 ± 0.6 (3.4 to 5.7) years

Sex = 49.1% girls

Activity intensity: LPA and MVPA

Free-living (at preschool)

Pedometer (Yamax SW200) to measure daily steps

I

Waist

AG-Si-VA-15

r = .67***, R2adj = 45%: (3-year-olds: r = .37, 4-year-olds: r = .52**, 5-year-olds: r = .84***)

LPA: r = .76***, R2adj = 52%

MVPA: 3-year-olds (r = .19, R2adj = 4%); 4-to-5-year-olds (r = .50***, R2adj = 23%)

PA: -

Very low

(level 3)

  1. Abbreviations: A Adolph’s cut-points (2012) [51], Ac Actical, ACT40 Actiware software with wake threshold value of 40, ACT80 Actiware software with wake threshold value of 80, AEE activity energy expenditure, AIC Akaike information criterion, AG ActiGraph, Ah Actiheart, ANN artificial neural network, aP activPAL, AS AlgoSmooth [94], AUC-ROC area under the receiver operating curve, Aw Actiwatch, AX Axivity, B Butte’s cut-points (2014) [75], C Costa’s cut-points (2014) [46], CARS children’s activity rating system, CCC concordance correlation coefficient, CI confidence interval, CPAC Caltrac personal activity computer, CPAF children’s physical activity form, cpm counts per minute, cts counts, CSA computer science and applications activity monitor, CSTS cross-sectional time series, CV cross-validation, DA diagonal axis (z-axis), dB de Bock’s cut-points (2010) [68], DLEN deep learning ensemble network, DLW doubly labelled water, DO direct observation, DT decision table, DVO direct video observation, EE energy expenditure, Ek Ekblom’s cut-points (2012) [95], Ev Evenson’s cut-points (2008) [91], FATS Fargo activity time-sampling survey, FNR false negative rate, FPR false positive rate, GA GENEActiv, HA horizontal axis (x-axis), ICC intraclass correlation coefficient, J13 Johansson’s cut-points (2015) [77], J16 Johansson’s cut-points (2016) [78], κ Kappa, K Kelly’s cut-points (2016) [96], κw weighted Kappa, κqw quadratic weighted Kappa, LiROC Li’s cut-points (2020) [79], LiORL Li’s cut-points (2020) [79], Li4k Li’s cut-points (2020) [79], LoA limits of agreement, LM linear model, LPA light physical activity, LSI LSI moving activity monitor, MAE mean absolute error, MAPE mean absolute percentage error, MARS multivariate adaptive regression splines, MD mean difference, METs metabolic equivalents, MLM mixed linear model, MLP multi-layer perceptron network, MLR multinomial logistic regression, MPA moderate physical activity, MVPA moderate-to-vigorous physical activity, n.r. not reported, NVP negative predictive value, omni omnidirectional, OSRAC-P observational system for recording physical activity in children preschool, Pa Pate’s cut-points (2006) [52], PA physical activity, Pa2 Pate’s cut-points (2006) [52], PAL physical activity level, Pf Pfeiffer’s cut-points (2006) [53], PPV positive predictive value, PRE activPAL professional research edition software, Puy Puyau’s cut-points (2002) [97], r correlation coefficient (unknown), Re Reilly’s cut-points (2003) [80], RF random forests, Ro Roscoe’s cut-points (2017) [67], rp correlation coefficient (Pearson), rsp correlation coefficient (Spearman rank), R2 R-squared value, R.2adj adjusted R-squared value, RMSE root mean square error, RT Research Tracker 3, SB sedentary behavior, Sc Schaefer’s cut-points (2014) [98], SD standard deviation, Se sensitivity, SE standard error, Si Sirard’s age-specific cut-points (2005) [81], Slj Sun’s cut point (2008) [99], SMR sleeping metabolic rate, SOFIT system for observing fitness instruction time, SOM self-organizing map, Sp specificity, SVM support vector machine, Swr Sun’s cut point (2008) [99], TD TracmorD, TEE total energy expenditure, tri mean of the three axes, TPR true positive rate, TST total sleep time, T12 Trost’s cut-points (2012) [44], T18 Trost’s cut-points (2018) [89], uni uniaxial (axis not specified), VA vertical axis (y-axis), vC van Cauwenberghe’s cut-points (2011) [45], VPA vigorous physical activity, VCO2 carbon dioxide, VM vector magnitude, VO2 oxygen consumption, WASO wake after sleep onset, 1 1 s epoch, 2 2 s epoch, 5 5 s epoch, 10 10 s epoch, 15 15 s epoch, 30 30 s epoch, 60 60 s epoch, 300 5 min epochs
  2. aAge presented as mean ± SD (range)
  3. bMethodological study quality based on newly developed checklist: VG very good, A adequate, D doubtful, I inadequate
  4. cDevice-based method described using code combinations of four elements resulting in the following format: brand-axis-approach-epoch length
  5. dStudy result rating based on COSMIN guideline: + sufficient, ± inconsistent, - insufficient, ? intermediate
  6. eQuality of evidence based on GRADE approach
  7. * p < .05
  8. ** p < .01
  9. *** p < .001