First author`s name | Year | Country | Type of Study | Sample size | Female participants (%) | Male participants (%) | Mild cognitive impairment Prevalence in geriatric population (%) | Data extraction tool | Range and cutoff | Age |
---|---|---|---|---|---|---|---|---|---|---|
Achary et al. [17] | 2023 | India | cross-sectional | 365 | 58.9 | 41.1 | 9.3 | HMSE, MoCA-B | score > 23, score 19–25 | ≥ 60 |
Alagiakrishnan et al. [18] | 2005 | Canada | cross-sectional | 41 | 7.3 | 92.7 | 9.8 | MMSE | range 12–28 | 65–92 |
Alkhunizan et al. [19] | 2018 | Saudi Arabia | cross-sectional | 171 | 43 | 57 | 38.6 | MoCA | range 75–62 | ≥ 60 |
Anieto et al. [20] | 2023 | Southern Nigeria | cross-sectional | 160 | 60 | 40 | 59.4 | 10-WDRT | range 0–10, score of ≤ 2 | 65–74 |
Amer et al. [21] | 2012 | Egypt | cross-sectional | 100 | 54 | 46 | 32 | MMSE, MoCA | Scores below 26 | ≥ 60 |
Boongird et al. [22] | 2010 | Thailand | cross-sectional | 177 | 67.8 | 32.2 | 60.5 | MMSE | - | 75.0 ± 0.7 |
Bickel et al. [23] | 2018 | Germany | cross-sectional | 1468 | 51.7 | 48.3 | 19.8 | CDR | value of 0.5 | ≥ 65 |
Khedr et al. [24] | 2014 | Egypt | cross-sectional | 691 | 50.8 | 49.2 | 1.7 | MMSE, HADS, MES, CDR | core range 75–62 | ≥ 60 |
Guo et al. [25] | 2011 | China | cross-sectional | 264 | 49.2 | 50.8 | 13.3 | MMSE, HDS | MMSE ≤ 24 and HDS were ≤ 24 | ≥ 65 |
Mooi And Hamid [26] | 2016 | Malaysia | cross-sectional | 2112 | 51.4 | 48.6 | 68 | MMSE | score of 21 and less | ≥ 60 |
Mariel et al. [27] | 2024 | Mexico | cross-sectional | 382 | 66.2 | 33.8 | 28 | MoCA | 19 to 22 points | ≥ 60 |
Mohan et al. [28] | 2019 | India | cross-sectional | 426 | 62 | 38 | 26.06 | m-ACE | - | ≥ 60 |
Mohammad et al. [4] | 2022 | Malaysia | cross-sectional | 244 | 0 | 100 | 29.9 | MoCA-BM | score below 23 | ≥ 60 |
Rao et al. [29] | 2018 | China | cross-sectional | 2111 | 59.5 | 40.5 | 14.2 | MMSE, MoCA, CDR | Scale score of ≤ 2 | ≥ 65 |
Song et al. [30] | 2021 | China | cross-sectional | 1760 | 100 | 0 | 21.5 | MMSE, MoCA | score < 26 | ≥ 60 |
Liu et al. [31] | 2021 | China | cross-sectional | 2644 | 50.1 | 49.9 | 27.8 | ADL, CDR (Petersen’s criteria) | CDR = 0.5 | ≥ 65 |
Liu et al. [32] | 2018 | China | cross-sectional | 622 | 57.6 | 42.4 | 34.1 | AD8 | score of 2 or greater | ≥ 65 |
Pradhan et al. [3] | 2020 | Nepal | cross-sectional | 115 | 54.8 | 45.2 | 93 | MoCA | - | ≥ 60 |
Saikia and Rajendran [33] | 2020 | India | cross-sectional | 576 | 50 | 50 | 22.4 | HMSE | - | ≥ 60 |
Kim et al. [9] | 2019 | Japan | cross-sectional | 1192 | 0 | 100 | 26.3 | MMSE | 19–26 | ≥ 70 |
Xu et al. [34] | 2024 | China | cross-sectional | 2598 | 54 | 46 | 15.7 | MMSE, CDR | ranging from 0 to 30 | ≥ 60 |
Xu et al. [35] | 2014 | China | cross-sectional | 2426 | 60.7 | 39.3 | 21.3 | MMSE, MoCA | MMSE (≤ 27), MoCA (< 26) | ≥ 60 |
Cheng et al. [36] | 2022 | China | cross-sectional | 4010 | 51 | 49 | 10.07 | MMSE | MMSE (0 to 30) | ≥ 60 |
Cong et al. [37] | 2023 | China | cross-sectional | 5068 | 56 | 44 | 26.48 | ADLs, MMSE, CDR ( Petersen’s criteria) | score ≥ 1.0 | ≥ 60 |
Jia et al. [38] | 2020 | China | cross-sectional | 46,011 | 50.3 | 49.7 | 15.6 | MMSE, CDR | - | ≥ 60 |
Lype et al. [39] | 2023 | China | cross-sectional | 311 | 59.2 | 40.8 | 18.6 | EASI | - | ≥ 65 |
Rostami et al. [6] | 2024 | Iran | cross-sectional | 506 | 49.6 | 50.4 | 21.9 | MMSE | 19–26 | ≥ 60 |
Tsoy et al. [5] | 2019 | Kazakhstan | cross-sectional | 662 | 25 | 75 | 30/4 | MoCA | scored 26 or lower | ≥ 60 |
Wang et al. [40] | 2024 | China | cross-sectional | 706 | 42.9 | 57.1 | 32 | MMSE | 19–26 | ≥ 60 |
Wang et al. [41] | 2015 | China | cross-sectional | 3136 | 59.3 | 40.7 | 20 | MMSE, MoCA | MMSE (≤ 27), MoCA (< 26) | ≥ 60 |
Tawfik et al. [42] | 2024 | Egypt | cross-sectional | 470 | 27.9 | 72.1 | 37.7 | MoCA | 19–25 | ≥ 60 |
Rahman and EI Gaafary [43] | 2009 | Egypt | cross-sectional | 268 | 45 | 55 | 38.8 | MoCA | score below 26 | ≥ 60 |
Limongi et al. [44] | 2017 | Italy | Population-based cohort | 2337 | 58.3 | 41.7 | 21.6 | ADL, MMSE, CDT | MMSE score ≤ 27, CDT score ≤ 8 | ≥ 65 |
Ma et al. [45] | 2022 | China | cross-sectional | 9036 | 56.5 | 43.5 | 18.1 | ADL, MMSE | 17–24 | ≥ 65 |
Lwi et al. [46] | 2019 | USA | cohort | 168,111 | 100 | 0 | 1.8 | ICD-9 | - | ≥ 65 |
Nguyen et al. [47] | 2019 | Vietnam | cross-sectional | 367 | 60 | 40 | 14.4 | IADL | - | ≥ 60 |
Ogunniyi et al. [48] | 2016 | Nigeria | cross-sectional | 613 | 69.7 | 30.3 | 18.1 | IDEA | score below 8 | ≥ 65 |
Panghal et al. [49] | 2022 | India | cross-sectional | 135 | 49.6 | 50.4 | 30 | HMSE | ranged from 0 to 30 | ≥ 60 |
Xu et al. [50] | 2020 | China | cross-sectional | 1262 | 55.5 | 44.5 | 25 | MMSE | 0 to 30 | ≥ 65 |
Xi et al. [51] | 2022 | China | cross-sectional | 4275 | 100 | 0 | 28.6 | C-MMSE | 0–30 | ≥ 65 |
Hendlmeier et al. [52] | 2019 | Germany | cross-sectional | 1468 | 53.8 | 46.2 | 19.7 | CDR | 0–3 | ≥ 65 |
Tranah et al. [53] | 2011 | USA | cohort | 1282 | 100 | 0 | 24 | MMSE | score < 8 | ≥ 65 |
Sun et al. [54] | 2014 | Taiwan | cross-sectional | 10,432 | 52.3 | 47.7 | 19.63 | CDR, TMSE | 13–24 | ≥ 65 |
Shahar et al. [55] | 2013 | Malaysia | cross-sectional | 318 | 59 | 41 | 21.1 | ADL, MMSE, CDR | - | ≥ 60 |
Roberts et al. [56] | 2010 | USA | cross-sectional | 1233 | 48 | 52 | 13.2 | CDR | - | ≥ 70 |
Reitz et al. [57] | 2008 | USA | cohort | 678 | 70.4 | 29.6 | 23.9 | DSM-IV | - | ≥ 65 |
Khater and abouelezz [58] | 2011 | Egypt | cross-sectional | 120 | 53.3 | 46.7 | 38.3 | MMSE, MoCA | scores below 26 | ≥ 60 |
Kitro et al. [59] | 2024 | Thailand | cross-sectional | 984 | 62.2 | 37.8 | 35.5 | TMSE | score below 24 | ≥ 60 |
Kim et al. [60] | 2022 | Korea | cross-sectional | 806 | 58 | 42 | 35.3 | MMSE-KC | 0 to 30 | ≥ 60 |
Liu et al. [61] | 2017 | China | cross-sectional | 2102 | 59.6 | 40.4 | 15.9 | MMSE | 17–24 | ≥ 60 |
Assaf et al. [62] | 2021 | Lebanon | cross-sectional | 337 | 47.2 | 58.2 | 14.8 | MoCA | ≥ 26 | ≥ 60 |