Abstract
Falls continue to be a health concern for older adults. Gender and age are key predictors of falls, particularly for those with low health literacy. Data were collected by a State Health Department using the state-led supplemental question option for the Centers for Disease Control and Prevention (CDC) Behavior Risk Factor Surveillance System (BRFSS) survey. Specifically, trend data for respondents were examined by gender, geographic location and health literacy rate. Results indicated the highest mean number falls occurred with men for those within the metropolitan statistical area (MSA) city code, lowest in suburban areas. Females reported to have a higher estimated mean number of falls and injuries than males. For males, the number of falls and injuries tended to decrease with higher health literacy. The findings support the importance of addressing fall prevention for older adults. Long term implications for improving fall prevention and health literacy for older adults include impact on individual outcomes.
Author Contributions
Copyright© 2018
K. Chesser Amy, et al.
License
This work is licensed under a Creative Commons Attribution 4.0 International License.
This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Competing interests The authors have declared that no competing interests exist.
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Introduction
Among older adults, falls are the number one cause of fatal and non-fatal injuries {Centers for Disease, 2006 #67}. In 2014, the number of falls experienced by older adults was 29 million. That number is estimated to increase and the need for fall prevention continues to be supported by the evidence {Larson, 2017 #68}. Gender and age are key predictors of falls Understanding how health literacy and demographic factors contribute to the incidence of falls, particularly falls that result in injury, is key to modifying existing fall prevention interventions to be more efficacious with older adults with low health literacy. A few studies have examined health literacy and falls in an older adult population. For example, Jaffee et al. (2016) examined hospital readmission rates and falls after hospital discharge. Poor vision was found to be an independent predictor of a post-discharge fall. While low health literacy was associated with greater readmissions, low health literacy was determined to be a non-significant factor in fall risk. However, Jaffee et al. only investigated 30-post discharge follow-up using inpatients from one hospital. The CDC reports less than half of fall victims go to the doctor to seek help following a fall, meaning there is very little information regarding the association between falls and health literacy in the larger population. In addition, health literacy levels are not frequently measured by health providers. This gap in the literature is more important when the disparities in health care access in rural populations is considered. The objective of this study was to examine health literacy rates and falls for adults age 65 and older using data from the Kansas Behavioral Risk Factor Surveillance System (BRFSS).
Results
Among the 11,801 responders of the BRFSS survey, 5,638 participants were asked the specific supplemental questions including the health literacy questions and 5,494 responders answered all three health literacy questions (response rate = 97.5%). Most respondents reported moderate health literacy (61.1%), followed by high health literacy (31.4%), and low health literacy (7.5%). Respondents ≥ 65 years of age represented the second largest proportion of the low health literacy group (7.9%), following 45-54 year olds. young adults and the middle-aged were equally represented in the high health literacy group ( With respect to falls self-reported in the prior month, females appear to have a higher estimated mean number of falls than males, although there is a great deal of interaction between location of residence and health literacy levels ( With respect to falls that resulted in injury in the prior month, females appear to have a higher estimated mean number of falls than males, although there is a great deal of interaction between location of residence and health literacy levels (
Variable
N
%
N
%
N
%
p-value
146,666
7.5
1,187,318
61.1
610,291
31.4
<.001
Male
88,129
9.2
606,077
63.5
260,127
27.3
Female
58,537
5.9
581,352
58.7
350,164
35.4
<.001
18 to24 years
18,874
6.9
207,028
75.2
49,510
18.0
25 to 34 years
19,705
6.1
199,498
61.8
103,578
32.1
35 to 44 years
22,100
7.1
171,242
55.3
116,210
37.5
45 to 54 years
32,074
9.6
179,886
54.0
120,992
36.3
55 to 64 years
24,362
7.4
193,971
59.0
110,505
33.6
65 and older
29,552
7.9
235,803
62.9
109,496
29.2
<.001
N-H white
89,571
5.7
967,363
61.9
505,892
32.4
N-H black
5,559
5.5
59,418
59.1
35,597
35.4
N-H other
4,613
8.2
36,892
65.3
15,008
26.6
N-H multi race
3,449
8.8
20,994
53.6
14,722
37.6
Hispanic
42,249
24.9
93,771
55.3
33,700
19.9
<.001
Partnered
76,568
6.6
677,014
58.2
410,452
35.3
Not partnered
69,990
9.0
505,506
65.3
198,372
25.6
<.001
Did not graduate high school
51,752
27.8
114,420
61.4
20,223
10.8
High school graduate
54,405
10.3
346,500
65.9
124,793
23.7
Some college or technical school
32,839
4.8
439,990
64.0
214,241
31.2
Graduated college or technical school
6,899
1.3
285,171
52.5
250,658
46.2
<.001
Employed full time
66,372
5.7
692,566
59.5
404,590
34.8
Not employed
13,822
15.1
56,991
62.3
20,723
22.6
Homemaker
10,973
9.1
70,848
58.6
39,167
32.4
Student
2,770
2.4
90,065
79.3
20,792
18.3
Retired
23,821
7.1
206,243
61.8
103,490
31.0
Unable to work
24,729
22.6
64,498
58.9
20,315
18.5
<.001
<$15,000
23,491
17.2
87,995
64.3
25,327
18.5
$15,000 to <$25,000
32,548
12.9
168,057
66.9
50,787
20.2
$25,000 to <$35,000
15,976
7.9
124,615
61.4
62,343
30.7
$35,000 to <$50,000
13,269
4.7
188,846
66.9
80,366
28.5
$50,000+
22,680
2.9
430,286
55.5
322,531
41.6
<.001
Own
81,400
5.9
833,414
60.3
467,880
33.8
Rent
52,838
12.0
279,378
63.3
108,850
24.7
Other arrangement
12,428
11.2
67,786
61.2
30,501
27.5
<.001
Has health care coverage
103,414
6.1
1,023,766
60.8
556,816
33.1
Does not have health care coverage
40,778
16.4
156,073
62.6
52,354
21.0
<.001
In MSA city code
26,873
8.0
195,205
58.4
112,096
33.5
Within MSA city suburb but not city center
16,330
4.0
239,317
58.7
151,852
37.3
Outside MSA
37,728
9.5
249,618
62.9
109,638
27.6
0.476
Yes
19,081
8.3
134,338
58.6
75,993
33.1
No
127,585
7.4
1,051,431
61.4
533,686
31.2
<.001
Good or better health
81,689
5.0
1,003,022
61.1
556,244
33.9
Poor or fair health
63,774
21.3
181,287
60.6
54,047
18.1
Profile
Mean (95% CI)
Mean (95% CI)
3,26,559
0.7 (0.55-0.77)
1,01,790
0.5 (0.41-0.57)
Male x In MSA City x Low HL
3718
1.4 (0.28-2.46)
1971
0.8 (0.15-1.40)
Male x In MSA City x Moderate HL
23,628
0.6 (0.28-0.88)
7,153
0.2 (0.07-0.39)
Male x In MSA City x High HL
13025
0.2 (0.10-0.39)
2390
0.5 (0.19-0.79)
Male x MSA City Suburb x Low HL
3719
1.0 (-0.05-2.09)
1397
1.0 (0.28-1.70)
Male x MSA City Suburb x Moderate HL
31325
0.6 (0.38-0.85)
10988
0.5 (0.19-0.77)
Male x MSA City Suburb x High HL
15225
0.3 (0.12-0.39)
3508
0.2 (-0.01-0.40)
Male x Outside MSA City x Low HL
6415
1.0 (0.32-1.64)
2544
0.1 (-0.09-0.30)
Male x Outside MSA City x Moderate HL
34531
0.7 (0.38-0.96)
9434
0.3 (0.11-0.53)
Male x Outside MSA City x High HL
9354
0.5 (0.19-0.83)
2524
0.3 (-0.00-0.55)
Female x In MSA City x Low HL
3540
2.9 (-0.89-6.70)
1826
0.6 (0.17-1.13)
Female x In MSA City x Moderate HL
32899
0.7 (0.46-0.93)
11498
0.5 (0.25-0.84)
Female x In MSA City x High HL
16784
0.3 (0.16-0.50)
3553
0.1 (0.01-0.28)
Female x MSA City Suburb x Low HL
1701
0.3 (-0.05-2.09)
488
0.4 (-0.27-1.05)
Female x MSA City Suburb x Moderate HL
41730
0.6 (0.38-0.89)
13099
0.6 (0.37-0.76)
Female x MSA City Suburb x High HL
21980
1.0 (0.04-2.04)
7867
0.6 (0.34-0.83)
Female x Outside MSA City x Low HL
5746
1.1 (0.32-1.97)
2452
0.5 (0.10-0.89)
Female x Outside MSA City x Moderate HL
44353
0.7 (0.49-0.86)
15111
0.7 (0.39-0.99)
Female x Outside MSA City x High HL
16888
0.4 (0.23-0.61)
3986
0.5 (0.24-0.76)
Discussion
This study utilized a three question screening tool as part of the statewide BRFSS survey
Conclusion
Implications for population level issues include cost savings for the health care system and evidence for building public health interventions for the increasing older adult population. The implications of this study’s findings are relevant to both health practitioners and researchers. Interventions and programs directed at multiple levels are necessary to improve health literacy and the poorer outcomes associated with health literacy rates for the older adults population. Targeted educational interventions for the female population of older adults living in both urban and rural settings for fall prevention are needed. Future research is needed to assess the validity of these results using a multi-state approach.