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. 2020 Jun 15;17:75. doi: 10.1186/s12966-020-00972-1

Table 3.

Reliability of subjective sedentary behaviour measurement tools

First author (year)
Measure examined		 Reliability Quality of study
Interval n ICC (95%CI) Other results
1-item questionnaires

EEPAQ; Elderly EXERNET Physical Activity Questionnaire [17]

Lopez-Rodriguez et al. 2017

 2 wk 73 0.68 Good

GPAQ; Global Physical Activity Questionnaire [21]

Chu et al. 2018

 1 wk 78

Self-administered: 0.68 (0.47; 0.82)

Interview-administered: 0.78 (0.64; 0.88)

 Good

IPAQ (short); International Physical Activity Questionnaire [26]

Craig et al. 2003

 8–10 d 2721

Correlation

Range: 0.18–0.95

 Fair

IPAQ (short); International Physical Activity Questionnaire) [44]

Rosenberg et al. 2008

 3–7 d 255/257

Wk 0.59

Wknd 0.72

Total 0.81

 Good

Modified MOSPA-Q; MONICA Optional Study on Physical Activity Questionnaire [28]

Chau et al. 2012

 1 wk 75 0.54 (0.36; 0.68) Good

PPAQ; Paffenbarger Physical Activity Questionnaire [29]

Simpson et al. 2015

 3–6 mo 130 0.71 (0.61; 0.74)

Correlation

3 mo 0.39 (0.33; 0.51)

6 mo 0.43 (0.43; 0.60)

 Fair

SED-GIH [30]

Larsson et al. 2018

5.2 d (min

1 d, max 16 d)

 94 0.86 (95% CI 0.79–0.90)

Weighted Kappa

0.77 (95% CI 0.68–0.86)

 Good

SQ; Single Question [32]

Aguilar-Farias et al. 2015

 1 wk 38 D 0.79; wk. 0.80; wknd: 0.78 Fair

TASST; TAxonomy of Self-report SB Tools [34]

1) Single item total times; 2) TV time

Dontje et al. 2018

 1d, 1 wk 18

Previous day recall:

1) 0.414 (0.227; 0.655)

2) 0.595 (0.412; 0.783)

Previous week recall:

1) 0.531 (0.1; 0.794)

2) 0.856 (0.657; 0.944)

 Poor

YPAS; Yale Physical Activity Survey for Older Adults [36]

Gennuso et al. 2015

 10 d 58 0.588 P < 0.001 Good
Gao et al. 2017 [102] 1 d 70 Day-to-day variation: 9.4% ± 11.4% Poor
2–9-item questionnaires

AQuAA; Activity Questionnaire for Adults and Adolescents [38]

Chinapaw et al. 2009

 2 wk 47 0.60 (0.40; 0.74) Good

CHAMPS; Community Health Activities Model Program for Seniors [40]

Hekler et al. 2012

 6 mo 748 0.56 Fair
CHAMPS; Community Health Activities Model Program for Seniors [36] Gennuso et al. 2017 10 d 58

CHAMPS: 0.638

P < 0.001

 Good

FPACQ; Flemish Physical Activity Computerized Questionnaire [41]

Matton et al. 2007

 2 wk 102

Employed / unemployed

Eat M 0.74 (0.53; 0.86); F 0.67 (0.43; 0.82)

Sleep M 0.84 (0.70; 0.92); F 0.83 (0.70; 0.91)

Tv M 0.93 (0.86; 0.97); F 0.92 (0.84; 0.96)

Retired individuals

Eat M 0.24 (− 0.20; 0.61); F 0.14 (− 0.35; 0.58)

Sleep M 0.94 (0.86; 0.98); F 0.90 (0.75; 0.97)

Tv M 0.76 (0.49; 0.89); F 0.89 (0.72; 0.96)

 Good

IPAQ (long); International Physical Activity Questionnaire [82]

Chau et al. 2011

 1 wk 95

Wk: 0.69 (0.56; 0.78)

Wknd: 0.65 (0.51; 0.76)

Total: 0.73 (0.61; 0.81)

 Good

IPAQ (long); International Physical Activity Questionnaire [26]

Craig et al. 2003

 8–10 d 2721 Range: 0.28–0.93 Fair

IPAQ (long); International Physical Activity Questionnaire [44]

Rosenberg et al. 2008

 3–7 d 255/257

Wk 0.81

Wknd 0.84

Total 0.82

 Good

OPAQ; Occupational Physical Activity Questionnaire [48]

Reis et al. 2005

 2 wk 41 0.78 (0.62; 0.87) Fair

OSPAQ; Occupational Sitting and Physical Activity Questionnaire [28]

Chau et al. 2012

 1 wk 84 0.89 (0.83; 0.92) Good
OSPAQ; Occupational Sitting and Physical Activity Questionnaire [51] Jancey et al. 2014 7 d 99 0.66 (0.49; 0.77) Good

OSPAQ; Occupational Sitting and Physical Activity Questionnaire [49]

Pedersen et al. 2016

 1 wk 75 0.44 (0.24; 0.60) Good

PASB-Q; Physical Activity and Sedentary Behavior Questionnaire [54]

Fowles et al. 2017

 7 d 35

Correlation

Total SB: 0.85

Breaks: 0.86

Work: 0.88

Leisure: 0.66

All P < 0.05

 Fair
Regicor Short Physical Activity Questionnaire [59] Molina et al. 2017 1 wk 114 0.908 (0.867; 0.937) Fair

RPAQ; Recent Physical Activity Questionnaire [58]

Besson at el. 2010

F 14.3 (3.7) d

M 16.4 (5.9) d

 131 0.76 (P < 0.001) No exact numbers available for MD and LoA, figure only Good

SCCS PAQ; Southern Community Cohort Study Physical Activity Questionnaire [60]

Buchowski et al. 2012

 12–15 mo 118

Correlation

Total: 0.33, P = 0.002

In car/bus: 0.33, P = 0.002

At work: 0.48, P < 0.001

Viewing TV/movies: 0.53, P< 0.001

Using home computer: 0.25, P = 0.02

Other: 0.24, P = 0.02

 Poor
SITBRQ: Workplace Sitting Breaks Questionnaire [61] Pedisic et al. 2014 7–14 d 96

Correlation

Freq breaks: 0.71 (0.59; 0.79)

Duration breaks: 0.59 (0.45; 0.71)

Cohen’s kappa

Freq breaks: 0.74 (0.64; 0.84)

Duration breaks: 0.61 (0.38; 0.85)

 Good

Stand Up For Your Health Questionnaire [62]

Gardiner et al. 2011

 7 d 48

Total: 0.52 (0.27; 0.70)

TV viewing: 0.76 (0.62; 0.86)

Computer use: 0.79 (0.65; 0.88)

Reading: 0.74 (0.51; 0.86)

Socializing: 0.38 (0.11; 0.60)

Transport: 0.40 (0.14; 0.61)

Hobbies: 0.35 (0.07; 0.58)

Other: 0.04 (− 0.25; 0.32)

 Fair
STAQ; Sedentary, Transportation and Activity Questionnaire [63] Mensah et al. 2016 1 mo 32

Total 0.52 (0.22; 0.73)

Leisure 0.37 (0.03; 0.62)

Transport 0.28 (− 0.06; 0.56)

Work 0.71 (0.49; 0.84)

See article for more settings

 Good

Survey of older adults’ sedentary time [64]

Gennuso et al. 2016

 7 d 44 0.48 P < 0.001 Fair

Web-based physical activity questionnaire Active-Q [65]

Bonn et al. 2015

 3 wk 148 0.80 (0.74–0.86) Good

WSWQ; Percentage-Method Improves Properties of Workers’ Sitting- and Walking-Time Questionnaire [66]

Matsoe et al. 2016

 1 wk 62

Non-working time:

Time = 0.49 (0.28–0.66)

Percentage = 0.71 (0.56–0.81)

Non-working day:

Time = 0.64 (0.47–0.76)

Percentage = 0.78 (0.66–0.86)

 Good
Mielke et al. 2020 [70] 7 d 78 Lin’s CCC 0.87 (0.81–0.92) Poor
Sudholz et al. 2017 [71] 7 d 59

Sitting time 0.78

(0.65; 0.86)

Breaks 0.65

(0.48; 0.78)

 Good
≥10-item questionnaires

ASBQ: Adult sedentary Behaviour Questionnaire [21]

Chu et al. 2018

 1 wk 84

Self-administered:

Total 0.74 (0.51; 0.86)

Work 0.70 (0.43; 0.84)

Transport 0.59 (0.22; 0.78)

Eating 0.73 (0.48; 0.86)

TV 0.85 (0.73; 0.92) Computer 0.57 (0.32; 0.75)

Other 0.33 (0.04; 0.57)

Interview-administered

Total 0.66 (0.37; 0.81)

Work 0.89 (0.80; 0.94) Transport 0.78 (0.59; 0.88) Eating: 0.71 (0.47; 0.84)

TV 0.81 (0.67; 0.89) Computer 0.62 (0.40; 0.78) Other 0.42 (0.13; 0.64)

 Good

MPAQ; Madras Physical Activity Questionnaire [73]

Anjana et al. 2015

 1 mo 543

Total: 0.81

TV viewing: 0.67

 Good

MSTQ; Multicontext Sitting Time Questionnaire [74]

Whitfield et al. 2013

 7.2 d (− 3; 13.9) 21

Workday:

Total 0.76 (0.50; 0.89)

Working/reading/studying:

0.83 (0.62; 0.93)

TV/movie: 0.93 (0.84; 0.97)

Computer/video games: 0.39 (0.00; 0.70)

Transport: 0.97 (0.93; 0.99)

Socializing: 0.27 (0.00; 0.62)

Non-working:

Total 0.72 (0.42; 0.87)

Working/reading/studying: 0.65 (0.31; 0.84)

Tv/movies: 0.85 (0.67; 0.94)

Computer/video games: 0.84 (0.64; 0.93)

Transport: 0.70 (0.40; 0.87)

Socializing: 0.62 (0.27; 0.83)

 Poor

SBQ; Sedentary Behaviour Questionnaire [77]

Rosenberg et al. 2010

 2 wk 49

Weekdays:

Total: 0.85 (0.75; 0.91) TV: 0.86 (0.76; 0.92) Computer games: 0.83 (0.72; 0.90). Sit listen to music: 0.71 (0.54; 0.83).

Sit and talk on telephone: 0.81 (0.68; 0.89). Work: 0.77 (0.63; 0.87). Reading: 0.64 (0.44; 0.78). Playing music: 0.90 (0.82; 0.94). Arts and crafts: 0.70 (0.53; 0.82).

Sitting driving in car: 0.76 (0.61; 0.86).

Weekend

Total: 0.77 (0.63; 0.86) TV: 0.83 (0.72; 0.90). Computer games: 0.80 (0.67; 0.88). Sit listen to music: 0.67 (0.49; 0.80).

Sit and talk on telephone: 0.73 (0.57; 0.84). Work: 0.64 (0.44; 0.61). Reading:0.48 (0.24; 0.67). Playing music: 0.93 (0.87; 0.96). Arts and crafts: 0.51 (0.27; 0.69). Sitting driving in car: 0.72 (0.56; 0.83).

 Fair

SIT-Q; Sedentary Behavior Questionnaire [78]

Lynch et al. 2014

 1 mo 64

Total: 0.65 (0.49; 0.78)

Meals: 0.60 (0.42; 0.74)

Transportation: 0.59 (0.41; 0.73)

Work, study, and volunteering: 0.86 (0.78; 0.91)

Leisure: 0.61 (0.43; 0.74)

 Good

SIT-Q-7d; last 7-d sedentary behavior questionnaire [79]

Busschaert etl al. 2015

Adults: 14 ± 5 d

Older adults: 9 ± 1 d

 42

Adults:

Range 0.06; 1.00

Older adults:

Range − 0.20; 1.00

 Poor

SIT-Q-7d; last 7-d sedentary behavior questionnaire [80]

Wijndeale et al.2014

 3.3 wk. (2; 8 wk)

Dutch: 53

English:

281

Average day

Dutch

Total: 0.68 (0.50; 0.81)

Transportation: 0.58 (0.37; 0.74)

Occupation: 0.66 (0.46; 0.79)

Screen time: 0.50 (0.26; 0.68)

Other leisure time: 0.52 (0.29; 0.70)

Breaks occupation:0.26 (− 0.07; 0.54)

Breaks TV viewing: 0.31 (− 0.01; 0.57)

English

Total: 0.53 (0.44; 0.62)

Transportation:0.50 (0.40; 0.58)

Occupation: 0.74 (0.67; 0.80)

Screen time: 0.61 (0.53; 0.67)

Other leisure time: 0.45 (0.35; 0.54

Breaks occupation: 0.12 (− 0.04; 0.28)

Breaks TV viewing: 0.28 (0.15; 0.39)

See article for more settings and weekdays / weekend days

 Good

STAR-Q [81]

Csizmadi et al. 2014

3 mo

6 mo

95

96

Total: 0.53 (0.37; 0.66)

0.45 (0.28; 0.59)

Work: 0.69 (0.57; 0.78) 0.69 (0.57; 0.78)

TV viewing: 0.72 (0.61; 0.80) 0.63 (0.49; 0.74)

Computer: 0.60 (0.46; 0.71) 0.62 (0.48; 0.73)

Reading: 0.56 (0.41; 0.68) 0.39 (0.21; 0.55)

 Fair

TASST TAxonomy of Self-report SB Tools [34]

Dontje et al. 2018

 1 d, 1 wk 18

Previous day recall:

Sum of behaviours 0.743 (0.591; 0.874)

Previous week recall:

Sum of behaviours 0.758 (0.462; 0.902)

 Poor

WSQ; Workforce Sitting Questionnaire [82]

Chau et al. 2011

 1 wk 95

Workday

Total: 0.65 (0.51; 0.75)

Transport: 0.67 (0.54; 0.77)

Work: 0.63 (0.49; 0.74)

TV: 0.91 (0.87; 0.94)

Computer: 0.56 (0.40; 0.69)

Other leisure activities: 0.68 (0.55; 0.78)

Non-work

Total: 0.80 (0.72; 0.87)

Transport: 0.60 (0.45; 0.72)

Work: 0.50 (0.33; 0.64)

TV: 0.79 (0.69; 0.85)

Computer: 0.81 (0.73; 0.87)

Other leisure activities: 0.59 (0.44; 0.71)

Total

0.73 (0.61; 0.81)

 Good
Ishii et al. 2018 [85] 2 wk 34

Total

0.74 (0.55–0.86)

Workday

Car 0.85 (0.71–0.92)

Public transport 0.60 (0.33; 0.78)

Work 0.89 (0.80; 0.95)

TV 0.76 (0.58; 0.88)

Computer 0.72 (0.51; 0.85)

Leisure 0.45 (0.15; 0.68)

Total 0.77 (0.60; 0.88)

Non-workday

Car 0.53 (0.24; 0.74)

Public transport 0.20 (− 0.15; 0.78)

Work − 0.07 (− 0.40; 0.28)

TV 0.79 (0.63; 0.89)

Computer 0.72 (0.51; 0.85)

Leisure 0.46 (0.14; 0.69)

Total 0.53 (0.24; 0.73)

 Fair
Marshall et al. 2010 [86]

mean 11 d

(range 7–28 d)

 101

Work

M 0.86 (0.79; 0.90)

F 0.79 (0.73; 0.84)

TV

M wk. 0.65 (0.52; 0.75);

wknd 0.62 (0.48; 0.73)

Computer

F wk. 0.63 (0.52; 0.71);

wknd: 0.72 (0.64; 0.79)

M wk. 0.62 (0.48; 0.73); wknd: 0.59 (0.44; 0.71)

Total sedentary time

M Wk MD − 4.3 min (LoA − 189.2; 180.7)

Wknd MD − 8.1 min (LoA − 195.0; 178.8)

F Wk MD − 3.9 min

(LoA − 235.4; 227.5)

Wknd MD − 5.6 min (LoA − 125.1; 113.9)

 Good
Van Cauwenberg et al. 2014 [87] 8 d (1.7) 428

Total 0.77 (0.57; 0.89)

TV viewing: 0.92 (0.83; 0.96)

Computer use: 0.76 (0.54; 0.88)

Reading: 0.60 (0.29; 0.79)

Hobbies: 0.57 (0.26; 0.78)

Seated conversation/listening: 0.40 (0.04; 0.67)

Telephone: 0.69 (0.43; 0.84)

Public transport: 0.46 (0.11; 0.71)

Driving car: 0.79 (0.59; 0.90)

Passenger in car: 0.11 (− 0.27; 0.46)

Household: 0.12 (− 0.18; 0.53)

Resting: 0.20 (− 0.18; 0.53)

Eating: 0.46 (0.11; 0.71)

 Good
Visser et al. 2013 [88] 23 d (SD 8) 63 0.71 (0.57; 0.81) Fair
Logs and diaries

BeWell24 Self-Monitoring App [91]

Toledo et al. 2017

 2 wk 17 0.65 (0.43; 0.82) Poor

cpar24; Computer-Based 24-Hour Physical Activity Recall Instrument [92]

Kohler et al. 2017

 3 hrs 67 0.75 Fair

MARCA; Multimedia Activity Recall for Children and Adults [32]

Aguilar-Farias et al. 2015

 0.5–1 hrs 38 2 days before 0.72; yesterday 0.96 Fair

Time Use Survey [96]

van der Ploeg et al. 2014

 7 d 134

Non-occupational

0.55 (0.42; 0.66)

Occupational

0.63 (0.51; 0.72)

 Excellent

F: female, M: male, MD: mean difference, LoA: limits of agreement, d: day, wk: week, mo: month