Age Group | Reference | Test-retest period | PAQ | Variables tested | Reliability results | |
---|---|---|---|---|---|---|
 |  |  |  |  | Correlation coefficients | Agreement |
Youth | Allor (2001)[60] | Within 1 week | PDPAR | METs(Q1) – METs(Q2) | ICC = 0.98 | – |
Youth | Corder (2009)[61] | 1 week | YPAQ | 12-13 yrs: PAEE(Q1) – PAEE(Q2) | ICC = 0.86 (P < 0.001) | – |
 |  |  |  | 16-17 yrs: PAEE(Q1) – PAEE(Q2) | ICC = 0.79 (P < 0.001) | – |
 |  |  | CPAQ | PAEE(Q1) – PAEE(Q2) | ICC = 0.25 | – |
 |  |  | CHASE | Lifestyle score(Q1) – lifestyle score(Q2) | ICC = 0.02 | – |
 |  |  | SWAPAQ | PAEE(Q1) – PAEE(Q2) | ICC = 0.64 (P < 0.001) | – |
Youth | Eisenmann (2002)[62] | Same day | GLTEQ | Total leisure activity score(Q1) – total leisure activity score(Q2) | Pearson r = 0.62 (P < 0.05) | MD (95 % LoA) = −33.4 ± 10.28 |
Youth | Huang (2009)[64] | 1 week | CLASS | VPA min/week(Q1) – VPA min/week(Q2) | ICC (95 % CI) = 0.73 (0.64;0.79), P < 0.05 | – |
 |  |  |  | MVPA min/week(Q1) – MVPA min/week(Q2) | ICC (95 % CI) = 0.71 (0.61;0.77), P < 0.05 | – |
 |  |  |  | MPA min/week(Q1) – MPA min/week(Q2) | ICC (95 % CI) = 0.61 (0.49;0.70), P < 0.05 | – |
 |  |  |  | Sedentary min/week(Q1) – sedentary min/week(Q2) | ICC (95 % CI) = 0.69 (0.59;0.77), P < 0.05 | – |
Youth | Mota (2002)[68] | 7 days | WAC | Total activity(Q1) – total activity(Q2) | ICC = 0.71 | – |
Youth | Rangul (2008)[69] | 8 - 12 days | HBSC | Frequency: sessions/week(Q1) – sessions/week(Q2) | ICC (95 % CI) = 0.73 (0.60;0.82) | – |
 |  |  |  | Duration: hr/week(Q1) – hr/week(Q2) | ICC (95 % CI) = 0.71 (0.57;0.81) | – |
 |  |  | IPAQ-s | VPA min/day(Q1) – VPA min/day(Q2) | ICC (95 % CI) = 0.30 (−0.07;0.56) | – |
 |  |  |  | MPA min/day(Q1) – MPA min/day(Q2) | ICC (95 % CI) = 0.34 (0.22;0.60) | – |
 |  |  |  | Walking min/day(Q1) – walking min/day(Q2) | ICC (95 % CI) = 0.10 (−0.10;0.39) | – |
 |  |  |  | Sitting min/day(Q1) – sitting min/day(Q2) | ICC (95 % CI) = 0.27 (−0.50;0.54) | – |
Youth | Treuth (2004)[72] | 12 weeks | GAQ | Yesterday: GAQ score(Q1) – GAQ score(Q2) | Pearson r = 0.59 (P < 0.001) | – |
 |  |  |  | Usual: GAQ score(Q1) – GAQ score(Q2) | Pearson r = 0.59 (P < 0.001) | – |
 |  |  |  | Yesterday: TV watching(Q1) – TV watching(Q2) | Pearson r = 0.13 (P < 0.373) | – |
 |  |  |  | Usual: TV watching(Q1) – TV watching(Q2) | Pearson r = 0.31 (P < 0.024) | – |
 |  |  |  | Yesterday: other sedentary(Q1) – other sedentary(Q2) | Pearson r = 0.32 (P < 0.019) | – |
 |  |  |  | Usual: other sedentary(Q1) – other sedentary(Q2) | Pearson r = 0.30 (P < 0.032) | – |
Youth | Troped (2007)[73] | 5 - 40 days | YRBS | VPA(Q1) – VPA(Q2) | ICC = 0.46 | – |
 |  |  |  | MPA(Q1) – MPA(Q2) | ICC = 0.51 | – |
Youth | Weston (1997)[74] | Within 1 hour | PDPAR | TEE(Q1) – TEE(Q2) | Pearson r = 0.98 (P < 0.01) | – |
Adults | Brown (2008)[88] | 7 - 28 days | AAS | Frequency/week(Q1) – frequency/week(Q2) | Spearman r = 0.58 | – |
 |  |  |  | Total min/week(Q1) – total min/week(Q2) | Spearman r = 0.64 | – |
Adults | Bull (2009)[58] | 3 - 7 days | GPAQ | Leisure: total min(Q1) – total min(Q2) | Spearman r = 0.78 (P < 0.01) | – |
 |  |  |  | Occupation: total min(Q1) – total min(Q2) | Spearman r = 0.77 (P < 0.01) | – |
 |  |  |  | Transportation: total min(Q1) – total min(Q2) | Spearman r = 0.81 (P < 0.01) | – |
 |  |  |  | Leisure: sedentary(Q1) – sedentary(Q2) | – | κ (% agreement) = 0.68 (85.6) |
 |  |  |  | Occupation: sedentary(Q1) – sedentary(Q2) | – | κ (% agreement) = 0.73 (86.9) |
Adults | Cust (2008)[102] | 10 months | EPAQ | Total MET-hr/week(Q1) – total MET-hr/week(Q2) | Spearman r (95 % CI) = 0.65 (0.55;0.72), P < 0.0001 | – |
 |  |  |  | Total PA index(Q1) – total PA index(Q2) | – | κ (95 % CI) = 0.62 (0.53;0.71), P < 0.0001 |
 |  |  |  | Cambridge PA index(Q1) – Cambridge PA index(Q2) | – | κ (95 % CI) = 0.66 (0.58;0.74), P < 0.0001 |
Adults | Cust (2009)[103] | 10 months | EPAQ | High confidence: total PA index(Q1) – total PA index(Q2) | – | κ (95 % CI) = 0.65 (0.53;0.76) |
 |  |  |  | Low confidence: total PA index(Q1) – total PA index(Q2) | – | κ (95 % CI) = 0.58 (0.45;0.71) |
 |  |  |  | High confidence: Cambridge PA index(Q1) – Cambridge PA index(Q2) | – | κ (95 % CI) = 0.73 (0.61;0.84) |
 |  |  |  | Low confidence: Cambridge PA index(Q1) – Cambridge PA index(Q2) | – | κ (95 % CI) = 0.59 (0.47;0.71) |
 |  |  | IPAQ-s | High confidence: total MET-hr/week(Q1) – total MET-hr/week(Q2) | Spearman r (95 % CI) = 0.53 (0.36;0.67) | – |
 |  |  |  | Low confidence: total MET-hr/week(Q1) – total MET-hr/week(Q2) | Spearman r (95 % CI) = 0.33 (0.11;0.52) | – |
 |  |  |  | High confidence: sitting hr/day(Q1) – sitting hr/day(Q2) | Spearman r (95 % CI) = 0.50 (0.32;0.65) | – |
 |  |  |  | Low confidence: sitting hr/day(Q1) – sitting hr/day(Q2) | Spearman r (95 % CI) = 0.65 (0.51;0.75) | – |
Adults | Duncan (2001)[104] | 7 days | 7DPAR | TEE(Q1) – TEE(Q2) | ICC (95 % CI) = 0.44 (0.26;0.59) | – |
Adults | Gauthier (2009)[105] | 1 day | IPAQ-SALVCF | Total MET-min/week(Q1) – total MET-min/week(Q2) | ICC (95 % CI) = 0.929 (0.860;0.965), P < 0.01 | – |
 |  |  |  | Sitting(Q1) – sitting(Q2) | ICC (95 % CI) = 0.899 (0.800;0.950), P < 0.01 | – |
Adults | Hallal (2010)[108] | 5 days | IPAQ | Total score(T1) – total score(T2) | Spearman r = 0.90 | MD = 3 min, κ (% agreement) = 0.78 (90.0) |
 |  |  |  | Total score(T1T2) – total score(FTF) | Spearman r = 0.87 | MD = 30 min, κ (% agreement) = 0.69 (85.5) |
Adults | Kurtze (2008)[54] | 1 week | IPAQ-s | VPA hr/day(Q1) – VPA hr/day(Q2) | ICC (95 % CI) = 0.62 (0.47;0.73) | – |
 |  |  |  | MPA hr/day(Q1) – MPA hr/day(Q2) | ICC (95 % CI) = 0.30 (0.09;0.49) | – |
 |  |  |  | Walking hr/day(Q1) – walking hr/day(Q2) | ICC (95 % CI) = 0.42 (0.23;0.59) | – |
 |  |  |  | Sitting hr/day(Q1) – sitting hr/day(Q2) | ICC (95 % CI) = 0.80 (0.70;0.87) | – |
Adults | MacFarlane (2007)[99] | 3 days | IPAQ-s | Total MET-min/week(Q1) – total MET-min/week(Q2) | ICC (95 % CI) = 0.79 (0.66;0.88), %CV (95 % CI) = 26 (22;33) | – |
 |  |  |  | Sitting MET-min/week(Q1) – sitting MET-min/week(Q2) | ICC (95 % CI) = 0.97 (0.95;0.98), %CV (95 % CI) = 15 (12;18) | – |
Adults | MacFarlane (2010)[110] | 3 days | IPAQ-LC | Total MET-min/week(Q1) – total MET-min/week(Q2) | ICC = 0.93, %CV = 22.8 | – |
 |  |  |  | Sitting MET-min/week(Q1) – sitting MET-min/week(Q2) | ICC = 0.71, %CV = 15.0 | – |
Adults | Matton (2007)[111] | 2 weeks | FPACQ | Employed/unemployed men: total EE(Q1) – total EE(Q2) | ICC (95 % CI) = 0.95 (0.89;0.97) | – |
 |  |  |  | Employed/unemployed women: total EE(Q1) – total EE(Q2) | ICC (95 % CI) = 0.92 (0.85;0.96) | – |
 |  |  |  | Retired men: total EE(Q1) – total EE(Q2) | ICC (95 % CI) = 0.90 (0.76;0.96) | – |
 |  |  |  | Retired women: total EE(Q1) – total EE(Q2) | ICC (95 % CI) = 0.96 (0.90;0.99) | – |
 |  |  |  | Employed/unemployed men: PAL(Q1) – PAL(Q2) | ICC (95 % CI) = 0.92 (0.84;0.96) | – |
 |  |  |  | Employed/unemployed women: PAL(Q1) – PAL(Q2) | ICC (95 % CI) = 0.78 (0.61;0.88) | – |
 |  |  |  | Retired men: PAL(Q1) – PAL(Q2) | ICC (95 % CI) = 0.89 (0.76;0.96) | – |
 |  |  |  | Retired women: PAL(Q1) – PAL(Q2) | ICC (95 % CI) = 0.77 (0.47;0.91) | – |
 |  |  |  | Employed/unemployed men: TV hr/week(Q1) – TV hr/week(Q2) | ICC (95 % CI) = 0.93 (0.86;0.97) | – |
 |  |  |  | Employed/unemployed women: TV hr/week(Q1) – TV hr/week(Q2) | ICC (95 % CI) = 0.92 (0.84;0.96) | – |
 |  |  |  | Retired men: TV hr/week(Q1) – TV hr/week(Q2) | ICC (95 % CI) = 0.76 (0.49;0.89) | – |
 |  |  |  | Retired women: TV hr/week(Q1) – TV hr/week(Q2) | ICC (95 % CI) = 0.89 (0.72;0.96) | – |
Adults | Nang (2011)[55] | 2 - 10 months | IPAQ | VPA(Q1) – VPA(Q2) | Spearman r = 0.38 (P < 0.05) | – |
 |  |  |  | MPA(Q1) – MPA(Q2) | Spearman r = 0.58 (P < 0.0001) | – |
 |  |  | SP2PAQ | VPA(Q1) – VPA(Q2) | Spearman r = 0.75 (P < 0.0001) | – |
 |  |  |  | MPA(Q1) – MPA(Q2) | Spearman r = 0.55 (P < 0.0001) | – |
Adults | Pettee-Gabriel (2009)[91] | 1 - 4 weeks | PMMAQ | MET-hr/week(Q1) – MET-hr/week(Q2) | ICC (95 % CI) = 0.64 (0.48;0.77), P < 0.0001 | – |
 |  |  | PWMAQ | MET-hr/week(Q1) – MET-hr/week(Q2) | ICC (95 % CI) = 0.74 (0.60;0.83), P < 0.0001 | – |
 |  |  | NHS-PAQ | MET-hr/week(Q1) – MET-hr/week(Q2) | ICC (95 % CI) = 0.48 (0.26;0.65), P < 0.0001 | – |
 |  |  | AAS | Min/day(Q1) – min/day(Q2) | ICC (95 % CI) = 0.32 (0.09;0.52), P < 0.01 | – |
 |  |  | WHI-PAQ | MET-hr/week(Q1) – MET-hr/week(Q2) | ICC (95 % CI) = 0.91 (0.86;0.95), P < 0.0001 | – |
Adults | Richardson (2001)[100] | 1 month | S7DR | Men: total MET-min/day(Q1) – total MET-min/day(Q2) | Spearman r = 0.60 (P < 0.01) | – |
 |  |  |  | Women: total MET-min/day(Q1) – total MET-min/day(Q2) | Spearman r = 0.36 (P < 0.05) | – |
Adults | Saglam (2010)[112] | 3 - 7 days | IPAQ | Total MET-min/week(Q1) – total MET-min/week(Q2) | Spearman r (95 % CI) = 0.64 (0.56;0.72), P < 0.001 | – |
 |  |  |  | Sitting min(Q1) – sitting min(Q2) | Spearman r (95 % CI) = 0.83 (0.77;0.89), P < 0.001 | – |
 |  |  | IPAQ-s | Total MET-min/week(Q1) – total MET-min/week(Q2) | Spearman r (95 % CI) = 0.69 (0.61;0.77), P < 0.001 | – |
 |  |  |  | Sitting min(Q1) – sitting min(Q2) | Spearman r (95 % CI) = 0.78 (0.71;0.85), P < 0.001 | – |
Adults | Schmidt (2006)[92] | 7 days | KPAS-mod | Total activity score(Q1) – total activity score(Q2) | ICC = 0.84 | – |
 |  |  |  | Weighted activity score(Q1) – weighted activity score(Q2) | ICC = 0.76 | – |
Adults | Smitherman (2009)[113] | 2 weeks | JPAC | JPAC total score(Q1) – JPAC total score(Q2) | ICC = 0.99 | – |
Adults | Trinh (2009)[115] | 2 weeks (dry season) | GPAQ | GPAQ total score(Q1) – GPAQ total score(Q2) | Spearman r = 0.69 (P < 0.001) | MD (95 % LoA) = 1.00 (0.03;31.82), κ (95 % CI) = 0.66 (0.53;0.79) |
 |  | 2 months (wet season) |  | GPAQ total score(Q1) – GPAQ total score(Q2) | Spearman r = 0.55 (P < 0.001) | MD (95 % LoA) = 1.12 (0.02;71.09), κ (95 % CI) = 0.57 (0.46;0.65) |
 |  | 2 weeks (dry season) |  | Sedentary time(Q1) – sedentary time(Q2) | Spearman r = 0.69 (P < 0.001) | κ (95 % CI) = 0.61 (0.58;0.70) |
 |  | 2 months (wet season) |  | Sedentary time(Q1) – sedentary time(Q2) | Spearman r = 0.50 (P < 0.001) | κ (95 % CI) = 0.45 (0.36;0.54) |
Elderly | De Abajo (2001)[76] | 2 weeks | YPAS | Total time(Q1) – total time(Q2) | ICC = 0.66 (P = 0.001) | – |
 |  |  |  | Total EE(Q1) – total EE(Q2) | ICC = 0.65 (P = 0.001) | – |
 |  |  |  | YPAS summary index(Q1) – YPAS summary index(Q2) | ICC = 0.31 (P = 0.002) | – |
 |  |  |  | Sitting(Q1) – sitting(Q2) | ICC = 0.29 (P = 0.003) | – |
Elderly | Dinger (2004)[77] | 3 days | PASE | Total PASE score(Q1) – total PASE score(Q2) | ICC (95 % CI) = 0.91 (0.83;0.94) | – |
Elderly | Dubbert (2004)[78] | 2 - 4 weeks | 7DPAR | TEE(Q1) – TEE(Q2) | ICC = 0.89 (P < 0.001) | – |
Elderly | Giles (2009)[79] | 1 - 2 weeks | CHAMPS-MMSCV | Volume: MET-min/week(Q1) – MET-min/week(Q2) | ICC (95 % CI) = 0.84 (0.69;0.91), Spearman r = 0.62 | – |
 |  |  |  | Frequency: sessions/week(Q1) – sessions/week(Q2) | ICC (95 % CI) = 0.89 (0.77;0.95), Spearman r = 0.79 | – |
 |  |  |  | Duration: min/week(Q1) – min/week(Q2) | ICC (95 % CI) = 0.81 (0.63;0.90), Spearman r = 0.57 | – |
Elderly | Hagiwara (2008)[80] | 3 - 4 weeks | PASE | Total PASE score(Q1) – total PASE score(Q2) | ICC (95 % CI) = 0.65 (0.58;0.72) | – |
Elderly | Harada (2001)[82] | 2 weeks | CHAMPS | EE(Q1) – EE(Q2) | ICC = 0.62, Pearson r = 0.62 | – |
Elderly | Kolbe-Alexander (2006)[83] | 3 - 5 days | IPAQ-s | Men: total MET-min/week(Q1) – total MET-min/week(Q2) | Spearman r = 0.54 (P = 0.0001) | MD (95 % LoA) = 324.58 ± 7534.85 MET-min/week |
 |  |  |  | Women: total MET-min/week(Q1) – total MET-min/week(Q2) | Spearman r = 0.60 (P = 0.0000) | MD (95 % LoA) = 347.14 ± 4016.88 MET-min/week |
 |  |  |  | Men: sitting MET-hr/week(Q1) – sitting MET-hr/week(Q2) | Spearman r = 0.76 (P = 0.0000) | – |
 |  |  |  | Women: sitting MET-hr/week(Q1) – sitting MET-hr/week(Q2) | Spearman r = 0.77 (P = 0.0000) | – |
 |  |  | YPAS | Men: total MET-min/week(Q1) – total MET-min/week(Q2) | Spearman r = 0.57 (P = 0.00001) | MD (95 % LoA) = −582.17 ± 4867.14 MET-min/week |
 |  |  |  | Women: total MET-min/week(Q1) – total MET-min/week(Q2) | Spearman r = 0.62 (P = 0.0000) | MD (95 % LoA) = 26.77 ± 4474.64 MET-min/week |
Elderly | Tomioka (2011)[85] | 2 weeks | IPAQ-s | Young old men: MET-min/week(Q1) – MET-min/week(Q2) | ICC (95 % CI) = 0.65 (0.46;0.78) | – |
 |  |  |  | Young old women: MET-min/week(Q1) – MET-min/week(Q2) | ICC (95 % CI) = 0.57 (0.34;0.72) | – |
 |  |  |  | Old old men: MET-min/week(Q1) – MET-min/week(Q2) | ICC (95 % CI) = 0.50 (0.22;0.68) | – |
 |  |  |  | Old old women: MET-min/week(Q1) – MET-min/week(Q2) | ICC (95 % CI) = 0.56 (0.30;0.72) | – |
 |  |  |  | Young old men: sitting hr/day(Q1) – sitting hr/day(Q2) | ICC (95 % CI) = 0.82 (0.71;0.88) | – |
 |  |  |  | Young old women: sitting hr/day(Q1) – sitting hr/day(Q2) | ICC (95 % CI) = 0.70 (0.54;0.80) | – |
 |  |  |  | Old old men: sitting hr/day(Q1) – sitting hr/day(Q2) | ICC (95 % CI) = 0.66 (0.48;0.78) | – |
 |  |  |  | Old old women: sitting hr/day(Q1) – sitting hr/day(Q2) | ICC (95 % CI) = 0.67 (0.48;0.80) | – |
 |  |  |  |  | Median ICC = 0.71 (youth: 0.64, adults: 0.79, elderly: 0.65) |  |
 |  |  |  |  | Median Spearman r = 0.62 (youth: –, adults: 0.64, elderly: 0.60) |  |
 |  |  |  |  | Median Pearson r = 0.62 (youth: 0.605, adults: –, elderly: 0.62) |  |
 |  |  |  |  |  | Median κ = 0.655 (youth: –, adults: 0.655, elderly: –) |