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. 2023 Feb 20;20(4):3744. doi: 10.3390/ijerph20043744

Table 1.

Characteristics of 16 included studies.

Authors Location Number
(Qualified Rate %)
Prevalence of FI,
N Persons (%)
Ref. No.
Yuan, 2021 [43] Xi’an 1152 (96.00%) 583 (50.6%) 213
Hua, 2021 [44] Nanjing 305 (95.80%) 133 (43.61%) 186
Fan, 2021 [45] Zhengzhou 508 (84.70%) 189 (37.2%) 177
Yuan, 2020 [46] Ningbo 972 (97.20%) 307 (31.60%) 144
Ji, 2019 [47] Qingdao 300 (93.75%) 91 (30.30%) 137
Huang, 2019 [48] Changchun 268 (94.04%) 133 (49.63%) 134
Zhao, 2019 [49] Beijing 1446 (95.40%) 598 (41.22%) 132
Lin, 2019 [50] Putian 311 (94.24%) 215 (69.13%) 128
Hui, 2019 [51] Shanghai 12,722 (99.76%) 641 (5.00%) 121
Li, 2017 [52] Chengdu 523 (96.00%) 170 (32.50%) 109
Liang, 2019 [53] Shanghai 904 (98.30%) 187 (20.70%) 95
Qin, 2018 [54] Nanchong 213 (100.00%) 56 (26.30%) 87
Jin, 2018 [55] 12 cities of
6 provinces *
2799 (100.00%) 876 (31.3%) 83
Tao, 2021 [56] Guilin 1708 (94.89%) 814 (47.66%) 62
Bai, 2018 [57] Shanghai 848 (80.76%) 417 (49.17%) 21
Wang T, 2019 [20] Hunan
province
703 (82.40%) 228 (32.43%) 4

* Twelve cities (Guangzhou, Jieyang, Chengdu, Luzhou, Wuhan, Jingzhou, Jinan, Jining, Hangzhou, Lishui, Shenyang, Chaoyang). Six provinces (Guangdong, Sichuan, Hubei, Shandong, Zhejiang, Liaoning).