Rapid decline in balance is a hallmark of aging, elevating the risk of falls and other age-related geriatric illnesses among older adults.
Objective
Our aim was to assess whether impairment in balance function is associated with the risk of incident CVD in older adults.
Design
Retrospective cohort analysis.
Participants
A total of 129,024 participants who had undergone health screening between 2002 and 2009 were derived from the National Health Insurance Service-Senior cohort.
Main measures
Balance impairment was evaluated using the open-eyes one-leg standing (OLS) test. The association between balance impairment and incident CVD was analyzed using the Cox proportional hazards regression model. All participants were followed up with until either the date of the first incident of CVD, death, or 31 December 2019.
Key results
Those with abnormal balance function (< 10 s in OLS test) had a higher risk of CVD (adjusted hazard ratio [aHR] 1.23, CI 1.16–1.31). The association was significant in both the obese and the non-obese, but it seemed to be more pronounced in the latter. Results were supported by sensitivity analyses that did not include cases of CVD development in the first 1, 2, or 3 years and that used a different criterion to define balance dysfunction (< 9 s in OLS test).
Conclusions
Older adults with balance impairment were found to have an increased risk of incident CVD. Patients with impaired balance function may be a high-risk population who require preventive managements against CVD.
Hye Jun Kim and Seogsong Jeong contributed equally.
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Introduction
Despite a gradual decline in cardiovascular diseases (CVD) prevalence in developed countries due to therapeutic advances and preventative efforts, CVD remains a significant burden in an aging population [1]. CVD not only causes progressive dysfunction in older adults, but also remain as the leading cause of death in this age group [2]. Evidence-based clinical practice guidelines are frequently used and generally followed by practitioners in the field of cardiovascular care [3]. Although the identification and implementation of CVD risk factors according to these guidelines has greatly benefited the general population, such recommendations may be less reliable in older adults, as clinical complexities associated with aging are more likely to confound standard precepts [4].
Along with aging, the gradual biologic changes associated with longevity are favorable to the onset of CVD and other age-related geriatric conditions such as frailty, sarcopenia, and falls [2, 5]. For older adults, mobility impairment is associated with a lower quality of life, an increased risk of institutionalization, and premature death [6]. While good mobility necessitates the ability to maintain one's balance while engaging in a variety of activities [7], aging can cause changes that lead to dysfunctional balancing, independently of illness or medication [8, 9]. Maintaining balance requires comprehensive contributions from the vestibular, visual, and proprioceptive systems [10].
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Recently, a significant inverse association between balance function and CVD-related mortality risk was reported [7]. Similarly, a link between locomotor dysfunction and an increased risk of CVD has been found in the adults of mean age 66 [11]. Despite ongoing efforts to determine the influence of mobility dysfunction on the CVD risk, the presence of balance dysfunction is likely underestimated in clinical practice, and most investigations are focused on the mortality risk of CVD [6, 12]. Hence, we conducted this study to provide an evidence whether balance function increases the risk of CVD and the extent of risk elevation using the one-leg standing (OLS) test, which is an easy way to self-recognize balance function and CVD risk.
Methods
Study population
Data for this retrospective cohort study were drawn from the Korea National Health Insurance Service (NHIS)-Senior Cohort. The elucidations of the cohort are described in detail elsewhere [13]. The NHIS provides compulsory insurance services regarding all aspects of medical healthcare for Korean citizens. Information on lifestyle behaviors, serological characteristics, and anthropometric measurements have been collected by the NHIS alongside demographic information, drug prescription records, treatment notes, and the results of health screening examinations.
We analyzed data from 159,174 people who took a balance function test as part of a health screening between 2009 and 2017. First, we filtered out the people who already had a CVD diagnosis before the follow-up began (n = 29,631), as well as those with missing information for covariates (n = 519). Finally, a total of 129,024 people aged 66 without a known history of CVD were included in the final analytic cohort (Fig. 1). The study population’s age is limited to 66 years because the NHIS only provides the OLS test for those aged 66. This study was conducted in accordance with STROBE guidelines [14]. This study was approved as exempt from Institutional Review Board of Jeju National University Hospital (approval No. JNUH IRB File No.2021-07-008). Since the database was made anonymous in accordance with strict confidentiality guidelines, it was unnecessary to obtain informed consents.
×
Follow-up for CVD
Starting on January 1, 2009, all participants were followed up until either CVD diagnosis, death, or 31 December, 2019. The presence of CVD was determined by whether or not a participant had been hospitalized for two or more days due to coronary heart disease (CHD) (International Classification of Diseases Tenth Revision [ICD-10] codes, I20-I25) or stroke (ICD-10 codes, I60-I69) according to the American Heart Association guidelines [15]. Several prior research have relied on the NHIS's operational definition of CVD, and is considered accurate [16].
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OLS test
The OLS test was applied to evaluate the balance function of the participants. This test is considered highly reliable and predictable for certain outcomes, such as falls and incident disability, and was carried out by medical professionals for those who could be standing without assistance only [17]. The OLS test measured the time an individual could stand on one leg with eyes open. Normal, cautious, and abnormal balance functions were stratified according to ≥ 20 s (s), between 10 to 19 s, and < 10 s from the OLS test.
Key variables
Potential confounding factors for the adjusted analyses included age (continuous; years), sex (categorical; men and women), insurance premium as a proxy for household income (categorical; upper half and lower half), body mass index (BMI; continuous; kg/m2), type 2 diabetes (DM; categorical; yes and no), hypertension (categorical; yes and no), dyslipidemia (categorical; yes and no), smoking (categorical; never, past, and current), alcohol consumption (categorical; yes and no), moderate-to-vigorous physical activity (MVPA; categorical; 0, 1–2, 3–4, and ≥ 5 times/week), and Charlson comorbidity index (CCI; categorical; 0, 1–2, and ≥ 3). MVPA was calculated by moderate-intensity physical activity plus vigorous-intensity physical activity. DM, hypertension, and dyslipidemia were considered present if a participant had the ICD-10 codes (DM, E10 to E14; hypertension, I10; dyslipidemia, E78) records between 2002 and 2008 and prescription records of antidiabetic, antihypertensive, and antidyslipidemic drugs in the same time period. We calculated the CCI as elucidated in a previous study [18].
Statistical analysis
To assess the association between balance impairment and incident CVD, we used the Cox proportional hazards regression. The adjusted hazard ratio (aHR) and 95% confidence interval (CI) were calculated after adjusting for age and sex solely in the first adjustment model. In addition, we included age, sex, household income, BMI, DM, hypertension, dyslipidemia, alcohol consumption, smoking, MVPA, and CCI as adjustment variables in the final adjustment model.
The incidence of CVD was calculated after dividing events by 1000 person-years (PY). We carried out sensitivity analysis to ensure that the primary results were not influenced by other potential reasons. To support the primary results, on-developing CVD cases at the time of follow-up were excluded by excluding CVD cases that occurred within 1, 2, or 3 years since the first date of follow-up.
Stratified analyses were performed to testify potential interactions among balance function, CVD, and stratification variables. The restricted cubic splines (RCS) were drawn by setting 3 knots at the 5th, 50th, and 95th percentiles to visualize the association between continuous OLS seconds and incident CVD. A two-sided P < 0.05 was considered statistically significant. Statistical analyses were performed using R software version 3.3.3 (R foundation for Statistical Computing, Vienna, Austria) and SAS version 9.4 (SAS Institute Inc., Cary, NC, USA).
Results
Participant characteristics
Descriptive baseline characteristics of the analytic cohort are presented in Table 1. There were 88,000, 26,186, and 14,838 older adults with normal, cautious, and impaired balance functions. Those with balance dysfunction were more tended to be women sex with lower household income, DM, hypertension, dyslipidemia, comorbidities, and hearing impairment who have higher BMI, higher blood pressures, higher fasting serum glucose, and lower frequency of MVPA.
Table 1
Baseline characteristics of the participants who underwent health screening according to the balance function
Characteristic
Normal, ≥ 20 s (n = 88,000)
Cautious, 10–19 s (n = 26,186)
Abnormal, < 10 s (n = 14,838)
P value
Age, years
66 (66–66)
66 (66–66)
66 (66–66)
0.282
Sex, n (%)
< 0.001
Men
43,663 (49.6)
10,157 (38.8)
4930 (33.2)
Women
44,337 (50.4)
16,029 (61.2)
9908 (66.8)
Household income, n (%)
< 0.001
Upper half
52,212 (59.3)
15,181 (58.0)
8286 (55.8)
Lower half
35,788 (40.7)
11,005 (42.0)
6552 (44.2)
Body mass index, kg/m2
23.9 (22.1–25.8)
24.3 (22.5–26.4)
24.7 (22.6–27.0)
< 0.001
Waist circumference, cm
82 (77–88)
83 (78–89)
84 (79–90)
< 0.001
Systolic blood pressure, mmHg
128 (118–136)
130 (119–138)
130 (120–139)
< 0.001
Diastolic blood pressure, mmHg
78 (70–82)
79 (70–83)
79 (70–84)
< 0.001
Fasting serum glucose, mg/dL
98 (90–109)
99 (90–111)
99 (91–114)
< 0.001
Total cholesterol, mg/dL
195 (171–221)
196 (171–223)
195 (169–223)
0.003
Smoking status, n (%)
< 0.001
Never
58,952 (67.0)
19,326 (73.8)
11,265 (75.9)
Previous
17,861 (20.3)
3755 (14.3)
1863 (12.6)
Current
11,187 (12.7)
3105 (11.9)
1710 (11.5)
Alcohol consumption, n (%)
< 0.001
Yes
27,486 (31.2)
6981 (26.7)
3631 (24.5)
No
60,514 (68.8)
19,205 (73.3)
11,207 (75.5)
MVPA, n (%)
< 0.001
0 time/week
43,428 (49.4)
14,550 (55.6)
9170 (61.8)
1–2 time/week
10,376 (11.8)
2806 (10.7)
1508 (10.2)
3–4 time/week
11,132 (12.7)
2838 (10.8)
1380 (9.3)
≥ 5 time/week
23,064 (26.2)
5992 (22.9)
2780 (18.7)
Hypertension, n (%)
28,209 (32.1)
9571 (36.6)
5953 (40.1)
< 0.001
Diabetes, n (%)
8,662 (9.8)
3222 (12.3)
2316 (15.6)
< 0.001
Dyslipidemia, n (%)
13,866 (15.8)
4546 (17.4)
2762 (18.6)
< 0.001
Charlson comorbidity index, n (%)
< 0.001
0
15,120 (17.2)
3983 (15.2)
2037 (13.7)
1
20,326 (23.1)
5569 (21.3)
2954 (19.9)
≥ 2
52,554 (59.7)
16,634 (63.5)
9847 (66.4)
Hearing impairment, n (%)
< 0.001
Yes
994 (1.1)
369 (1.4)
276 (1.9)
No
87,006 (98.9)
25,817 (98.6)
14,562 (98.1)
Data are mean (standard deviation) unless indicated otherwise
Association between balance impairment and risk of CVD
A total of 9587 cases of new onset CVD were identified during the 737,500 person-years of follow-up. There was a strong association between lower balance function and an increased risk of CVD (Table 2; P for trend < 0.001). Compared with participants with normal balance function, those with impaired balance function had an elevated risk of CVD (aHR, 1.23; 95% CI 1.16–1.31). Both obese (aHR, 1.17; 95% CI 1.07–1.28) and non-obese groups (aHR, 1.30; 95% CI 1.20–1.41) showed similar results. In addition, the associations of balance impairment with CHD (aHR, 1.23; 95% CI 1.16–1.31) and stroke (aHR, 1.33; 95% CI 1.23–1.43) were significant (Table 3). Also, in line with the main findings of this study, the Kaplan–Meier cumulative risks for overall CVD were higher in the abnormal balance group than the normal balance function group (Fig. 2). Additionally, we identified the risk-increasing effect on CVD by shorter OLS in a continuous manner (Fig. 3).
Table 2
Association of balance function with incident cardiovascular disease
Normal (≥ 20 s)
Cautious (10–19 s)
Abnormal (< 10 s)
P for trend
Overall participant, n
88,000
26,186
14,838
Event (%)
6,054 (6.9)
2,190 (8.4)
1,343 (9.1)
Person-year
493,593
156,745
87,162
Incidence/1000 person-year
12.3
14.0
15.4
HR (95% CI)
1.00 (Reference)
1.13 (1.08–1.19)
1.25 (1.18–1.33)
< 0.001
aHR (95% CI)a
1.00 (Reference)
1.19 (1.13–1.25)
1.34 (1.27–1.43)
< 0.001
aHR (95% CI)b
1.00 (Reference)
1.14 (1.08–1.19)
1.23 (1.16–1.31)
< 0.001
Obese participant, n
31,538
10,971
7,010
Event (%)
2,291 (7.3)
954 (8.7)
608 (8.7)
Person-year
174,824
64,792
40,868
Incidence/1000 person-year
13.1
14.7
14.9
HR (95% CI)
1.00 (Reference)
1.12 (1.04–1.21)
1.13 (1.04–1.24)
0.002
aHR (95% CI)a
1.00 (Reference)
1.18 (1.10–1.28)
1.24 (1.13–1.36)
< 0.001
aHR (95% CI)b
1.00 (Reference)
1.15 (1.07–1.24)
1.17 (1.07–1.28)
< 0.001
Non-obese participant, n
56,462
15,215
7,828
Event (%)
3,763 (6.7)
1,236 (8.1)
735 (9.4)
Person-year
318,769
91,952
46,294
Incidence/1000 person-year
11.8
13.4
15.9
HR (95% CI)
1.00 (Reference)
1.13 (1.06–1.21)
1.34 (1.24–1.45)
< 0.001
(95% CI)a
1.00 (Reference)
1.17 (1.10–1.25)
1.41 (1.30–1.53)
< 0.001
aHR (95% CI)b
1.00 (Reference)
1.13 (1.06–1.20)
1.30 (1.20–1.41)
< 0.001
HR calculated using Cox proportional hazards regression
Acronym: HR hazard ratio, CI confidence interval, aHR adjusted hazard ratio
aAdjusted for age and sex
bAdjusted for age, sex, household income, hypertension, diabetes, dyslipidemia, smoking, alcohol consumption, moderate-to-vigorous physical activity, and Charlson comorbidity index
Table 3
Association of balance function with incident coronary heart disease and stroke
Normal (≥ 20 s)
Cautious (10–19 s)
Abnormal (< 10 s)
P for trend
Coronary heart disease
HR (95% CI)
1.00 (Reference)
1.13 (1.08–1.19)
1.25 (1.18–1.33)
< 0.001
aHR (95% CI)a
1.00 (Reference)
1.19 (1.13–1.25)
1.34 (1.27–1.43)
< 0.001
aHR (95% CI)b
1.00 (Reference)
1.14 (1.08–1.19)
1.23 (1.16–1.31)
< 0.001
Stroke
HR (95% CI)
1.00 (Reference)
1.17 (1.10–1.24)
1.36 (1.26–1.46)
< 0.001
aHR (95% CI)a
1.00 (Reference)
1.20 (1.13–1.28)
1.42 (1.32–1.53)
< 0.001
aHR (95% CI)b
1.00 (Reference)
1.16 (1.09–1.24)
1.33 (1.23–1.43)
< 0.001
HR calculated using Cox proportional hazards regression
Acronym: HR hazard ratio, CI confidence interval, aHR adjusted hazard ratio
aAdjusted for age and sex
bAdjusted for age, sex, household income, hypertension, diabetes, dyslipidemia, smoking, alcohol consumption, moderate-to-vigorous physical activity, and Charlson comorbidity index
×
×
Primary results were validated through sensitivity analyses that were performed after excluding CVD events within 1, 2, and 3 years since the beginning of the follow-up (Additional file 1: Tables S1, S2).
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Subgroup analyses on the association of balance functions with risk of incident CVD are shown in Additional file 1: Table S3. Older adults were stratified according to sex, household income, DM, hypertension, dyslipidemia, MVPA, and hearing impairment. A higher risk of CVD was observed in the impaired balance function groups except for those with hearing impairment, and we found no significant interactions.
Discussion
The association between OLS test and the risk of CVD was noted in this study. Participants with impaired balance function had a 1.23-fold increased CVD risk compared to participants with normal balance function after adjusting for potential confounders. Despite older adults with impaired balance function were more likely to develop both CHD and stroke, the balance function-dependent risk was stronger for stroke. These findings may pave a way for further investigation into the relationship between balance function and the risk of CVD, providing supports for effective healthcare initiatives.
In the present study, the proportions of cautious and abnormal groups were 20.3% and 11.5%, respectively, which are lower than a Swedish study of 351 women aged 69–79 years (median, 72.4 years) showed that the median OLS time was 19 s (interquartile range, 1.5–30) and 22.5 s (interquartile range, 2–30) for right-leg and left-leg standing participants with high exercise, respectively [19]. Impaired balance contributes to a wide range of negative health outcomes [20]. However, there is limited evidence regarding balance function and the onset of CVD. A recent study involving 5816 US adults aged over 40 found that those with a balance dysfunction had a 65% higher CVD mortality compared to those with normal balance function, as measured by the modified Romberg standing balance test [7]. In a Japanese cohort study with 1,085 old participants aged 65–89 years who received the OLS test, balance impairment was associated with a 91% increased risk of CVD-related death [21]. Another recent Turkish study involving 44 older adults with a mean age of 59 found that balance function was reduced in patients with chronic heart failure as measured by the Activity-Specific Balance Confidence Scale and the Mini-Balance Evaluation Systems Test [20]. The present study expands current knowledge on association of balance function with incident CVD that cautious or abnormal balance function is associated with a higher risk of CVD among older adults.
A behavior-related mechanism may explain the association between balance function and incident CVD. The prevalence of vestibular dysfunction rise sharply with aging, and this can affect the balance function of individuals [22]. People who experienced symptoms such as dizziness as a result of vestibular impairment were 12 times more likely to fall than those with normal vestibular function [22]. Falls, primarily caused by poor balance can result in long-term immobility and a sedentary lifestyle [23]. Certain sedentary behaviors have been associated with an increased risk of CVD [24, 25]. Furthermore, fear of falling causes older adults to be less active and spend more time sitting than they should, increasing their CVD risk [24]. In a biological manner, the activity of the lipoprotein lipase in the postural muscles of rats has been shown to decrease when they are forced to remain immobile [26]. Low levels of lipoprotein lipase are associated with reduced triacylglycerol uptake, lower plasma HDL cholesterol levels, and higher risk of CVD [26]. In addition, lipid abnormalities are related to an increased risk of atherosclerosis or myocardial infarction in patients with vertigo [27].
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Another possible explanation is that frailty caused by balance impairment increases the risk of CVD. Despite the fact that a variety of definitions for quantifying frailty status have been proposed [21], poor physical performance is widely recognized as a hallmark of frailty. Perhaps the increased risk of CVD in frail old people is due to their susceptibility to psychological and physiological stresses [21]. Although there is limited evidence to support frailty to a risk factor for CVD incidence, it has been associated to both clinical and underlying CVD [28]. To better inform clinical practice, further investigation to clarify pathways connecting balance disorder and CVD risk is warranted.
To date, assessing the balance of older adults has not been standard practice in clinical examinations. This could be attributed to a lack of consensus on how to measure balance, as well as a lack of information linking balance test results to clinical outcomes other than falls [6]. Therefore, the findings of this study may be useful for screening individuals at risk of CVD and suggesting prevention and intervention initiatives to lower the risk of CVD [29]. However, the following limitations should be considered when interpreting this study results. First, this study is not exempt to the issue of reverse causality because of its retrospective nature. Future prospective studies would be warranted to determine the causal relationship between balance impairment and the risk of CVD. Second, the OLS test was the only parameter used to assess balance performance in this study. Although OLS has been one of the standard methods for evaluating postural stability for several decades, due to its ease of use and short test time [30, 31], additional studies based on other metrics for measuring balance function may be required to generalize our findings. Third, not all potential confounding factors, such as muscle wasting, physical fitness, and cognitive impairment could be considered for the adjusted analyses due to the unavailability of information. Lastly, our study determined the cause-specific aHR for the risk of CVD according to the OLS test results. Evaluating subdistribution hazard ratio that set non-CVD death as a competing event may be necessary to better determine the association of balance function with the risk of CVD.
Balance impairment was associated with an increased risk of incident CVD in this nationally representative cohort study of Korean older adults. As the prevalence of balance impairments rises with aging, assessing balance function in clinical and research settings may be considered to better estimate the risk of CVD. Such assessment may allow better referrals to specialists for individual-level healthcare plans.
Prior presentations
Not presented before
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Declarations
Ethics approval and consent to participate
This study was approved as exempt from Institutional Review Board of Jeju National University Hospital (Approval No. JNUH IRB File No. 2021-07-008).
Competing interests
None declared.
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