From: Risk factors of perinatal depression in women: a systematic review and meta-analysis
Authors | Country | Number | Diagnostic tool | NOS scores |
---|---|---|---|---|
Alexandre 2016 | Brazil | 701 | SRQ-20 | 7 |
Angela 2014 | Canada | 107 | EPDS | 6 |
Azad 2019 | Bangladesh | 376 | EPDS | 7 |
Bell 2015 | USA | 4946 | EPDS | 9 |
Chandrasekaran 2018 | Canada | 103 | EPDS | 6 |
Chong 2014 | Singapore | 709 | EPDS | 7 |
Cirik 2016 | Turkey | 149 | HADS | 6 |
Clarke 2014 | England | 9076 | GHQ-12 | 5 |
Duman 2018 | England | 712 | EPDS | 7 |
Elias 2012 | Brazil | 146 | EPDS | 6 |
Gressier 2016 | France | 1419 | ICD-10 | 7 |
Heather 2011 | Canada | 1403 | EPDS | 8 |
Husain 2011 | England | 1357 | EPDS | 8 |
Husain 2012 | England | 237 | EPDS | 7 |
Jane 2017 | Tanzania | 1013 | EPDS | 8 |
Joshi 2019 | Nepal | 143 | EPDS | 6 |
Katy 2009 | Minneapolis | 11,024 | ICD-9 | 9 |
Koutra 2016 | Greece | 1024 | EPDS | 7 |
Li 2017 | China | 240 | PSSS | 6 |
Maggie 2013 | England | 5332 | NA | 5 |
Nyamukoho 2019 | Zimbabwe | 234 | EPDS | 7 |
Raghavan 2021 | India | 564 | EPDS | 7 |
Rurangirwa 2018 | Rwanda | 920 | EPDS | 6 |
Senturk 2017 | Turkey | 709 | EPDS | 7 |
Sheeba 2019 | India | 280 | EPDS | 6 |
Shi 2017 | China | 213 | EPDS | 7 |
Suad 2009 | USA | 273 | NA | 5 |
Tariq 2021 | Pakistan | 200 | EPDS | 8 |
Tomas 2015 | Ethiopia | 340 | SRQ-20 | 8 |
Tong 2016 | USA | 34,633 | NA | 8 |
Wang 2010 | Taiwan, china | 460 | EPDS | 5 |