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Table 3 Reliability of subjective sedentary behaviour measurement tools

From: Validity and reliability of subjective methods to assess sedentary behaviour in adults: a systematic review and meta-analysis

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