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Falls are events that occur when an individual inadvertently lands on the ground, floor, or a lower level (1). A significant public health concern, falls cause over 684,000 deaths globally each year, making them the second leading cause of unintentional injury deaths worldwide. Falls can also result in non-fatal consequences, such as disability, functional impairment, and restricted activity, which cause a significant burden on families and societies in terms of disease and economic losses (2).
This study aims to analyze the epidemiological characteristics and influencing factors of fall injuries using data from the NISS between 2019 and 2022. The results will help identify key intervention areas and provide a scientific basis for fall prevention and control.
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Initiated in 2006, the hospital-based National Injury Surveillance System (NISS) provides extensive coverage across 31 provincial-level administrative divisions (PLADs). The NISS includes 300 monitoring hospitals across 100 monitoring sites, with 59 sites in urban areas and 41 in rural areas. This study analyzed fall case data collected by the NISS from 2019 to 2022. At each monitoring site hospital, medical doctors or nurses complete the National Injury Surveillance Report Card, which was developed by the China CDC. At each monitoring site, the CDC is responsible for collecting, entering, and regularly reporting injury surveillance data to the China CDC. Published articles have studied the NISS extensively, discussing its sampling methods, data quality, and other relevant information (3-4).
Statistical analyses were performed using SPSS software (version 26.0; SPSS Inc, Chicago, IL, USA). The National Center for Chronic and Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, approved the use of NISS data for this study (ethical application grant number: 201502).
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Between 2019 and 2022, NISS recorded 2,324,577 falls, comprising 1,345,181 males and 982,396 females. Of these, 1,685,880 occurred in urban areas and 638,697 in rural areas (urban-rural ratio: 1∶0.38). Monitoring hospitals in the eastern region reported 1,257,024 cases (54.08%), while the central and western regions reported 16.52% and 29.40%, respectively. The average age was 36.88±24.32 years (males: 33.22±22.90 years; females: 41.87±25.28 years) (Table 1).
Age group
(years)Sex Urban-rural Geographical distribution Total, n
(%)Male, n
(%)Female, n
(%)Urban, n
(%)Rural, n
(%)Eastern, n
(%)Central, n
(%)Western, n
(%)0 6,561
(0.49)5,043
(0.51)10,015
(0.59)1,589
(0.25)7,438
(0.59)885
(0.23)3,281
(0.48)11,604
(0.50)1–9 265,678
(19.79)153,763
(15.65)308,197
(18.28)111,244
(17.42)225,830
(17.97)64,279
(16.74)129,332
(18.92)419,441
(18.04)10–19 202,591
(15.09)81,868
(8.33)200,243
(11.88)84,216
(13.19)142,459
(11.33)49,626
(12.92)92,374
(13.51)284,459
(12.24)20–29 152,608
(11.37)90,633
(9.23)197,711
(11.73)45,530
(7.13)146,116
(11.62)27,905
(7.27)69,220
(10.13)243,241
(10.46)30–39 189,703
(14.13)114,034
(11.61)236,775
(14.04)66,962
(10.48)184,314
(14.66)37,994
(9.89)81,429
(11.91)303,737
(13.07)40–49 160,800
(11.98)110,083
(11.21)195,999
(11.63)74,884
(11.72)144,811
(11.52)40,636
(10.58)85,436
(12.50)270,883
(11.65)50–59 173,654
(12.94)153,500
(15.63)225,183
(13.36)101,971
(15.97)165,868
(13.20)62,214
(16.20)99,072
(14.49)327,154
(14.07)60–69 95,952
(7.15)122,073
(12.43)145,297
(8.62)72,728
(11.39)115,143
(9.16)44,901
(11.69)57,981
(8.48)218,025
(9.38)70–79 56,803
(4.23)86,270
(8.78)93,232
(5.53)49,841
(7.80)70,764
(5.63)33,138
(8.63)39,171
(5.73)143,073
(6.15)80–102 37,831
(2.82)65,129
(6.63)73,228
(4.34)29,732
(4.66)54,281
(4.32)22,455
(5.85)26,224
(3.84)102,960
(4.43)Total 1,342,181
(100.00)982,396
(100.00)1,685,880
(100.00)638,697
(100.00)1,257,024
(100.00)384,033
(100.00)683,520
(100.00)2,324,577
(100.00)Abbreviation: NISS=National Injury Surveillance System. Table 1. Demographic characteristics of fall cases in the NISS of China, 2019–2022.
Falls occurred mainly during the daytime (06:00–17:59, 67.37%). The most common locations for falls were at home (39.41%), on the road/street (17.62%), and in public residential institutions (15.66%). Fall locations varied by age group. Falls in school and school-related areas were highest among individuals aged 10–19 years, followed by those at home. Leisure activities accounted for most falls (39.40%) but differed by age. Sports activities caused most falls (27.37%) among individuals aged 10–19 years, while falls at work were most common (22.87%) among those aged 40–49 years (Table 2).
Characteristics Sex* Age (years)* Total,
n (%)Male,
n (%)Female,
n (%)0,
n (%)1–9,
n (%)10–19,
n (%)20–29,
n (%)30–39,
n (%)40–49,
n (%)50–59,
n (%)60–69,
n (%)70–79,
n (%)80–102,
n (%)Time 00:00–05:59 142,443
(10.61)97,619
(9.94)1,370
(11.81)31,195
(7.44)26,071
(9.17)35,609
(14.64)38,710
(12.74)29,909
(11.04)32,393
(9.90)20,191
(9.26)13,597
(9.50)11,017
(10.70)240,062
(10.33)06:00–11:59 435,416
(32.44)350,971
(35.73)3,051
(26.29)106,624
(25.42)78,219
(27.50)71,138
(29.25)101,685
(33.48)100,928
(37.26)130,410
(39.86)91,712
(42.06)61,138
(42.73)41,482
(40.29)786,387
(33.83)12:00–17:59 457,843
(34.11)321,823
(32.76)3,659
(31.53)148,036
(35.29)109,466
(38.48)77,043
(31.67)95,839
(31.55)88,123
(32.53)107,784
(32.95)70,242
(32.22)46,075
(32.20)33,399
(32.44)779,666
(33.54)18:00–23:59 306,479
(22.83)211,983
(21.58)3,524
(30.37)133,586
(31.85)70,703
(24.86)59,451
(24.44)67,503
(22.22)51,923
(19.17)56,567
(17.29)35,880
(16.46)22,263
(15.56)17,062
(16.57)518,462
(22.30)Site Home 467,913
(34.86)448,282
(45.63)9,364
(80.70)235,072
(56.04)56,326
(19.80)58,871
(24.20)85,095
(28.02)80,851
(29.85)118,635
(36.26)106,222
(48.72)89,512
(62.56)76,247
(74.05)916,195
(39.41)Public residential institution 212,005
(15.80)151,982
(15.47)1,585
(13.66)73,497
(17.52)39,610
(13.92)44,890
(18.45)52,660
(17.34)42,716
(15.77)48,227
(14.74)31,244
(14.33)18,445
(12.89)11,113
(10.79)363,987
(15.66)School and school-related areas 151,946
(11.32)79,259
(8.07)219
(1.89)60,124
(14.33)105,579
(37.12)20,088
(8.26)13,050
(4.30)10,089
(3.72)10,537
(3.22)6,410
(2.94)3,282
(2.29)1,827
(1.77)231,205
(9.95)Sports and athletics area 75,549
(5.63)29,674
(3.02)56
(0.48)13,555
(3.23)37,064
(13.03)19,213
(7.90)15,042
(4.95)8,014
(2.96)6,325
(1.93)3,781
(1.73)1,562
(1.09)611
(0.59)105,223
(4.53)Road/street 231,428
(17.24)178,227
(18.14)267
(2.30)28,909
(6.89)38,453
(13.52)61,827
(25.42)74,642
(24.57)61,539
(22.72)68,456
(20.92)44,012
(20.19)21,215
(14.83)10,335
(10.04)409,655
(17.62)Commercial and serve area 45,517
(3.39)45,521
(4.63)69
(0.59)5,276
(1.26)3,865
(1.36)16,893
(6.94)22,260
(7.33)18,272
(6.75)15,583
(4.76)5,376
(2.47)2,382
(1.66)1,062
(1.03)91,038
(3.92)Industrial and construction area 119,875
(8.93)20,528
(2.09)10
(0.09)329
(0.08)1,375
(0.48)17,738
(7.29)34,642
(11.41)38,465
(14.20)39,959
(12.21)6,729
(3.09)886
(0.62)270
(0.26)140,403
(6.04)Farm/farmland 27,851
(2.08)21,771
(2.22)7
(0.06)435
(0.10)468
(0.16)1,454
(0.60)3,787
(1.25)8,597
(3.17)16,757
(5.12)12,532
(5.75)4,779
(3.34)806
(0.78)49,622
(2.13)Others 1,752
(0.13)1,277
(0.13)8
(0.07)429
(0.10)189
(0.07)345
(0.14)378
(0.12)394
(0.15)529
(0.16)407
(0.19)234
(0.16)116
(0.11)3,029
(0.13)Unknown 8,345
(0.62)5,875
(0.60)19
(0.16)1,815
(0.43)1,530
(0.54)1,922
(0.79)2,181
(0.72)1,946
(0.72)2,146
(0.66)1,312
(0.60)776
(0.54)573
(0.56)14,220
(0.61)Activity Work 173,419
(12.92)65,097
(6.63)0
(0.00)33
(0.01)2,271
(0.80)32,729
(13.46)57,898
(19.06)61,957
(22.87)64,373
(19.68)15,566
(7.14)3,101
(2.17)588
(0.57)238,516
(10.26)Housework 118,253
(8.81)152,710
(15.54)106
(0.91)6,245
(1.49)8,011
(2.82)18,457
(7.59)32,707
(10.77)38,802
(14.32)62,899
(19.23)53,291
(24.44)34,068
(23.81)16,377
(15.91)270,963
(11.66)Education activities 20,179
(1.50)9,736
(0.99)15
(0.13)8,203
(1.96)16,122
(5.67)1,866
(0.77)990
(0.33)916
(0.34)990
(0.30)430
(0.20)241
(0.17)142
(0.14)29,915
(1.29)Sports activities 122,582
(9.13)48,978
(4.99)87
(0.75)26,715
(6.37)77,846
(27.37)24,366
(10.02)17,153
(5.65)9,274
(3.42)7,688
(2.35)4,923
(2.26)2,266
(1.58)1,242
(1.21)171,560
(7.38)Leisure activities 528,982
(39.41)386,953
(39.39)6,334
(54.58)262,462
(62.57)112,378
(39.51)92,725
(38.12)105,902
(34.87)81,468
(30.07)95,224
(29.11)72,802
(33.39)48,652
(34.01)37,988
(36.90)915,935
(39.40)Life activity 123,163
(9.18)102,232
(10.41)4,310
(37.14)56,831
(13.55)20,251
(7.12)17,478
(7.19)21,898
(7.21)19,457
(7.18)24,981
(7.64)20,675
(9.48)19,481
(13.62)20,033
(19.46)225,395
(9.70)Driving/riding vehicles 59,095
(4.40)41,921
(4.27)53
(0.46)4,257
(1.01)9,874
(3.47)16,494
(6.78)19,161
(6.31)17,186
(6.34)19,053
(5.82)10,476
(4.80)3,562
(2.49)900
(0.87)101,016
(4.35)Walking 170,647
(12.71)156,769
(15.96)402
(3.46)42,593
(10.15)32,841
(11.55)35,706
(14.68)43,664
(14.38)37,608
(13.88)46,180
(14.12)35,643
(16.35)29,162
(20.38)23,617
(22.94)327,416
(14.08)Others 6,948
(0.52)4,682
(0.48)54
(0.47)5,570
(1.33)1,436
(0.50)443
(0.18)598
(0.20)629
(0.23)949
(0.29)874
(0.40)643
(0.45)434
(0.42)11,630
(0.50)Unknown 18,913
(1.41)13,318
(1.36)243
(2.09)6,532
(1.56)3,429
(1.21)2,977
(1.22)3,766
(1.24)3,586
(1.32)4,817
(1.47)3,345
(1.53)1,897
(1.33)1,639
(1.59)32,231
(1.39)Total 1,342,181
(100.00)982,396
(100.00)11,604
(100.00)419,441
(100.00)284,459
(100.00)243,241
(100.00)303,737
(100.00)270,883
(100.00)327,154
(100.00)218,025
(100.00)143,073
(100.00)102,960
(100.00)2,324,577
(100.00)Abbreviation: NISS=National Injury Surveillance System.
* Differences in characteristics between genders and age groups were all statistically significant, all P<0.001.Table 2. Characteristics of time, sites, and activity for all fall cases in the NISS of China, 2019–2022.
For individuals aged 0–39 years, bruises (50.08%), sprains (21.16%), and fractures (12.93%) were the 3 most common fall-related injuries. Among those aged 40–69 years, the 3 most common injuries were bruises (40.90%), fractures (27.07%), and sprains (19.21%), while fractures (40.73%) were most common among those aged 70 years and older. Females (23.26%) had a higher proportion of fractures than males (19.07%). Lower limb injuries (31.57%) were the most common, followed by head (26.34%), upper limb (21.30%), and torso (14.31%) injuries, accounting for 93.52% of all cases. The injured body parts varied by age group. Infants aged 0 years most frequently experienced head injuries (72.64%). Among those aged 60 years and older, the proportion of head injuries increased with age. Most fall cases were mild in severity (73.41%), with moderate and severe cases accounting for 24.69% and 1.90%, respectively. Severe cases increased with age. Most cases were discharged after treatment (83.85%), followed by hospitalization (13.23%) and observation (1.78%). The proportion of hospitalizations increased with age (Table 3).
Characteristics Sex* Age (years)* Total,
n (%)Male,
n (%)Female,
n (%)0,
n (%)1–9,
n (%)10–19,
n (%)20–29,
n (%)30–39,
n (%)40–49,
n (%)50–59,
n (%)60–69,
n (%)70–79,
n (%)80–102,
n (%)Nature of injury Fracture 255,945
(19.07)228,458
(23.26)713
(6.14)41,962
(10.00)40,836
(14.36)29,580
(12.16)50,156
(16.51)59,437
(21.94)90,761
(27.74)70,738
(32.44)54,872
(38.35)45,348
(44.04)484,403
(20.84)Sprain 247,335
(18.43)203,430
(20.71)1,186
(10.22)52,975
(12.63)76,272
(26.81)63,138
(25.96)73,590
(24.23)57,708
(21.30)62,524
(19.11)36,602
(16.79)18,388
(12.85)8,382
(8.14)450,765
(19.39)Sharps injury, bites and open wounds 156,441
(11.66)84,049
(8.56)931
(8.02)74,204
(17.69)22,496
(7.91)24,850
(10.22)29,890
(9.84)24,584
(9.08)26,034
(7.96)17,443
(8.00)10,917
(7.63)9,141
(8.88)240,490
(10.35)Bruise 621,707
(46.32)429,507
(43.72)7,527
(64.87)230,307
(54.91)136,417
(47.96)118,412
(48.68)139,563
(45.95)118,214
(43.64)132,801
(40.59)82,661
(37.91)51,117
(35.73)34,195
(33.21)1,051,214
(45.22)Burn 645
(0.05)400
(0.04)6
(0.05)228
(0.05)76
(0.03)169
(0.07)161
(0.05)106
(0.04)139
(0.04)80
(0.04)44
(0.03)36
(0.03)1,045
(0.04)Concussion/Cerebral contusion 43,516
(3.24)26,845
(2.73)887
(7.64)14,025
(3.34)5,768
(2.03)4,789
(1.97)7,286
(2.40)7,563
(2.79)11,015
(3.37)8,055
(3.69)6,157
(4.30)4,816
(4.68)70,361
(3.03)Organ system injury 5,100
(0.38)2,013
(0.20)19
(0.16)749
(0.18)573
(0.20)627
(0.26)994
(0.33)1,255
(0.46)1,428
(0.44)776
(0.36)432
(0.30)260
(0.25)7,113
(0.31)Others 7,848
(0.58)5,067
(0.52)118
(1.02)3,443
(0.82)1,378
(0.48)1,099
(0.45)1,365
(0.45)1,353
(0.50)1,675
(0.51)1,157
(0.53)838
(0.59)489
(0.47)12,915
(0.56)Unknown 3,644
(0.27)2,627
(0.27)217
(1.87)1,548
(0.37)643
(0.23)577
(0.24)732
(0.24)663
(0.24)777
(0.24)513
(0.24)308
(0.22)293
(0.28)6,271
(0.27)Body part injured Head 384,798
(28.67)227,560
(23.16)8,429
(72.64)230,709
(55.00)59,413
(20.89)49,434
(20.32)59,703
(19.66)52,596
(19.42)59,296
(18.12)39,548
(18.14)28,871
(20.18)24,359
(23.66)612,358
(26.34)Upper limbs 283,741
(21.14)211,456
(21.52)1,984
(17.10)96,228
(22.94)74,629
(26.24)49,769
(20.46)61,831
(20.36)54,870
(20.26)69,278
(21.18)46,598
(21.37)26,005
(18.18)14,005
(13.60)495,197
(21.30)Lower limbs 405,169
(30.19)328,755
(33.46)366
(3.15)60,896
(14.52)115,544
(40.62)98,614
(40.54)113,446
(37.35)92,441
(34.13)105,058
(32.11)67,395
(30.91)43,996
(30.75)36,168
(35.13)733,924
(31.57)Torso 179,198
(13.35)153,506
(15.63)221
(1.90)13,629
(3.25)20,056
(7.05)27,168
(11.17)46,584
(15.34)50,546
(18.66)69,549
(21.26)49,592
(22.75)34,062
(23.81)21,297
(20.68)332,704
(14.31)Multiple parts 68,494
(5.10)48,946
(4.98)300
(2.59)8,771
(2.09)11,216
(3.94)15,180
(6.24)18,402
(6.06)16,883
(6.23)19,856
(6.07)12,405
(5.69)8,464
(5.92)5,963
(5.79)117,440
(5.05)Whole body 5,100
(0.38)3,045
(0.31)27
(0.23)683
(0.16)781
(0.27)953
(0.39)1,140
(0.38)1,197
(0.44)1,500
(0.46)874
(0.40)599
(0.42)391
(0.38)8,145
(0.35)Others 14,002
(1.04)7,996
(0.81)223
(1.92)7,651
(1.82)2,534
(0.89)1,881
(0.77)2,296
(0.76)2,076
(0.77)2,296
(0.70)1,412
(0.65)946
(0.66)683
(0.66)21,998
(0.95)Unknown 1,679
(0.13)1,132
(0.12)54
(0.47)874
(0.21)286
(0.10)242
(0.10)335
(0.11)274
(0.10)321
(0.10)201
(0.09)130
(0.09)94
(0.09)2,811
(0.12)Severity Mild 994,590
(74.10)711,856
(72.46)9,972
(85.94)347,052
(82.74)228,676
(80.39)196,909
(80.95)234,505
(77.21)194,578
(71.83)220,350
(67.35)139,389
(63.93)81,896
(57.24)53,119
(51.59)1,706,446
(73.41)Moderate 320,990
(23.92)252,981
(25.75)1,530
(13.19)70,113
(16.72)53,529
(18.82)43,753
(17.99)64,762
(21.32)70,361
(25.97)97,921
(29.93)72,037
(33.04)55,408
(38.73)44,557
(43.28)573,971
(24.69)Severe 26,601
(1.98)17,559
(1.79)102
(0.88)2,276
(0.54)2,254
(0.79)2,579
(1.06)4,470
(1.47)5,944
(2.19)8,883
(2.72)6,599
(3.03)5,769
(4.03)5,284
(5.13)44,160
(1.90)Disposition Discharged after treatment 1,131,162
(84.28)818,098
(83.28)10,778
(92.88)391,909
(93.44)259,563
(91.25)220,497
(90.65)266,172
(87.63)222,532
(82.15)255,294
(78.03)162,984
(74.75)96,564
(67.49)62,967
(61.16)1,949,260
(83.85)Observed 24,281
(1.81)17,021
(1.73)233
(2.01)6,031
(1.44)4,290
(1.51)3,695
(1.52)5,037
(1.66)4,904
(1.81)6,446
(1.97)4,310
(1.98)3,372
(2.36)2,984
(2.90)41,302
(1.78)Transferred 9,352
(0.70)6,860
(0.70)39
(0.34)2,241
(0.53)1,411
(0.50)732
(0.30)1,213
(0.40)1,916
(0.71)2,844
(0.87)2,301
(1.06)1,848
(1.29)1,667
(1.62)16,212
(0.70)Admitted 171,543
(12.78)136,092
(13.85)531
(4.58)17,939
(4.28)18,150
(6.38)17,596
(7.23)30,207
(9.95)40,326
(14.89)60,879
(18.61)47,163
(21.63)40,366
(28.21)34,478
(33.49)307,635
(13.23)Dead 822
(0.06)361
(0.04)0
(0.00)75
(0.02)50
(0.02)48
(0.02)112
(0.04)180
(0.07)257
(0.08)161
(0.07)136
(0.10)164
(0.16)1,183
(0.05)Others 5,021
(0.37)3,964
(0.40)23
(0.20)1,246
(0.30)995
(0.35)673
(0.28)996
(0.33)1,025
(0.38)1,434
(0.44)1,106
(0.51)787
(0.55)700
(0.68)8,985
(0.39)Total 1,342,181
(100.00)982,396
(100.00)11,604
(100.00)419,441
(100.00)284,459
(100.00)243,241
(100.00)303,737
(100.00)270,883
(100.00)327,154
(100.00)218,025
(100.00)143,073
(100.00)102,960
(100.00)2,324,577
(100.00)Abbreviation: NISS=National Injury Surveillance System.
* Differences in characteristics between genders and age groups were all statistically significant, all P<0.001.Table 3. Characteristics of the nature, part, and severity of injuries related to falls in the NISS of China, 2019–2022.
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This study conducted a comprehensive analysis of fall-related injuries across age groups in China from 2019 to 2022. Our findings indicated a higher incidence of falls among males than females and in urban versus rural settings. Most falls occurred in residential settings and during leisure activities, highlighting the need for targeted interventions in these areas. From 2019 to 2022, the NISS in China recorded 2,324,577 fall cases. Of these, 45.23% resulted in bruises, 31.57% involved lower limb injuries, and 73.41% were classified as mild injuries.
The age distribution of fall cases reveals that children, adolescents, and the elderly represent a larger proportion of patients seeking medical attention for falls. The associated fall characteristics are distinct and merit further discussion from a public health perspective. Research indicates that children and adolescents, as well as the elderly, experience the highest disease burden and fall-related injuries (2). Notably, among children and adolescents, infants exhibit a particularly high incidence rate of falls. Elderly individuals aged 60 and above face the highest risk of death or serious injury from falls, a risk that escalates with age (2). This discussion will primarily focus on the fall prevalence characteristics within these two groups and provide targeted recommendations. Targeted fall prevention policies and safety awareness strategies are crucial to mitigate the occurrence of falls.
This research demonstrated that children under 10 years old were more vulnerable to household falls, often resulting in head trauma, particularly in infants aged <1 year. These findings are consistent with previous studies emphasizing the urgent need for fall prevention measures in young children (5). Substantial evidence supports the effectiveness of home safety interventions in mitigating the risk of pediatric falls. Therefore, caregivers must remain vigilant and proactively identify and address potential safety hazards at home. By enhancing their knowledge of fall prevention strategies, caregivers can create a safer environment for children to play and develop. Given the inherently weaker upper extremity strength of infants (6), vigilant supervision and increased precautions are crucial to ensure their well-being. Such efforts can help reduce the incidence of fall-related injuries and promote the healthy development of infants and young children.
For individuals aged 10–19 years, falls occur predominantly in school and school-related settings, highlighting the need for improved fall prevention strategies in these environments. The high incidence of falls during physical activities, notably higher than in other age groups, emphasizes this dynamic. While some sports inherently carry a risk of falls, adolescents should be encouraged to participate in active sports and leisure activities as part of a healthy lifestyle, as sedentary behaviors increase injury susceptibility compared to regular physical activity (7–8). Ensuring adolescent safety during physical activity is crucial. The prevalence of lower limb injuries in this population, likely due to increased physical activity and sports participation, underscores the importance of implementing measures to mitigate fall-related hazards in these settings. Further research is needed to identify associated risk factors and develop interventions to optimize school environments, strengthen student safety protocols, and enhance safety education programs.
Falls are prevalent among individuals aged 60 years and above, particularly at home. Key environmental hazards contributing to falls in this population include trip obstacles, slick or uneven flooring, inadequate lighting, clutter, and the absence of handrails (2). This underscores the critical importance of enhancing home safety measures and implementing fall prevention strategies (9-10). Furthermore, age-related fractures are more prevalent among women due to osteoporosis, necessitating targeted prevention strategies for this demographic (11). The increased incidence of head injuries with advancing age, particularly among those with diminished physical capabilities, underscores the importance of implementing fall prevention interventions that prioritize head protection (2).
Although children, adolescents, and the elderly represent key cohorts for fall prevention and control efforts, other age groups must also be considered. Notably, the 20–39 age group exhibits a substantial incidence of falls, many of which occur on roads and streets, consistent with previous research (12–13). This trend may be attributable to the large size of this demographic group, whose members frequently engage in social activities that involve road traffic. Similarly, the prevalence of falls among individuals aged 40–59 remains consistent with overall trends. However, there is currently a lack of tailored interventions for fall prevention in this population (14). Nonetheless, because this group constitutes a large portion of the workforce, the consequences of falls in this demographic group cannot be overlooked and appropriate attention and intervention strategies must be given.
This study has limitations. Using data solely from the NISS system prevents a comprehensive picture of elderly injuries, as injury incidence is not included. Furthermore, inherent to the NISS case collection methodology is potential underreporting. Individuals with minor injuries may self-treat or avoid medical attention due to financial constraints, limited healthcare access, or other factors, underestimating elderly injury cases.
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The authors thank all provincial and local Centers for Disease Control and Prevention in China.
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