Table 1.
Authord | Pub. year | Country | Occupation | N | RRb | Age rangec | ROB scorea |
---|---|---|---|---|---|---|---|
Europe | |||||||
[37] Fuglseth | 2015 | Norway | Administration | 216 | 54 | μ = 46 | 3 |
[60] Mikkelsen | 2002 | Norway | Industrial enterprises | 342 | 49 | μ = 41; SD = 11 | 3 |
[6] Salanova | 2013 | Spain | ICT users | 1072 | nn | 18–58 | 2 |
[10] Ragu-Nathan | 2008 | Spain | ICT users | 608 | 89.4 | ~20–65 | 2 |
[53] Beas | 2006 | Spain | Public sector | 496 | nn | 20–58 | 2 |
[41] Eijckelhof | 2014 | NL | Office worker | 93 | 77.5 | nn | 2 |
[47] Fieseler | 2014 | EU | Industrial enterprises | 491 | nn | ~36–56 | 2 |
[70] Koivunen | 2013 | Finland | Nurses | 146 | 81 | ~20–60 | 3 |
[32] Korpinen | 2011 | Finland | Different sectors | 6121 | 41 | 18–65 | 3 |
[58] Seppälä | 2001 | Finland | Different sectors | 379 | 42.4 | 21–623 | 2 |
[16] La Paglia | 2008 | Italy | Teachers | 77 | nn | 28–61 | 2 |
[45] Rangarajan | 2005 | Belgium | Sales professionals | 154 | 64 | nn | 3 |
[15] Bozionelos | 2001 | UK | Manager | 228 | nn | μ = 30; SD = 7 | 2 |
Asia | |||||||
[13] Srivastava | 2015 | Asia/EU | Manager | 152 | 22 | ~21–60 | 2 |
[38] Jena | 2015 | India | Academician | 54 | 54 | ~20–60 | 2 |
[33] Yun | 2012 | Korea | Different sectors | 1200 | 40 | 20–50 | 3 |
[35] Koo | 2011 | Korea | Different sectors | 98 | 98 | 26–50 | 2 |
[50] Leung | 2011 | Hong Kong | Office worker | 612 | 58.8 | μ = 36; SD = 10 | 3 |
[8] Shu | 2011 | China | Different sectors | 289 | 82.6 | 20–45 | 3 |
[7] Wang | 2008 | China | Different sectors | 951 | 70.4 | ~20–40 | 3 |
[36] Tu | 2005 | China | Different sectors | 437 | 62.4 | ~20–40 | 1 |
America | |||||||
[11] Tarafdar | 2015 | USA | Sales professionals | 237 | 47 | 26–56 | 3 |
[59] Chesley | 2014 | USA | Civilian labour force | 2256 | 60 | μ = 42; SD = 12 | 3 |
[29] Hennington | 2011 | USA | Nurses | 71 | nn | 20–59 | 2 |
[30] Brown | 2014 | Canada | University setting | 215 | nn | μ = 42; SD = 11 | 2 |
[39] Day | 2012 | Canada | Different sectors | 258 | 85.7 | μ = 35; SD = 9 | 3 |
[48] Rocha | 2003 | Brazil | System analysts | 553 | 85 | 18–56 | 3 |
Australia/New Zealand | |||||||
[31] Goldfinch | 2011 | New Zealand | Public servant | 240 | 51 | μ = 43 | 2 |
[57] Lam | 2009 | Australia | Care giver | 784 | nn | > 60 years | 3 |
ROB score: Risk of bias analysis. Scores marked in bold show a high risk of bias; unmarked scores have a medium risk of bias.
RR: response rate; nn: not named in the article.
μ: mean age; SD: standard deviation, nn: not named in the article.
Only first author is named.