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Article

Health Status and Activity Discomfort among Elderly Drivers: Reality of Health Awareness

1
Research Institute for Skin Image, College of Medicine, Korea University, Seoul 08308, Republic of Korea
2
Core Research & Development Center, Korea University Ansan Hospital, Gyeonggi-do 15355, Republic of Korea
3
School of Electrical and Electronics Engineering, Chung-Ang University, Seoul 06974, Republic of Korea
4
Department of Dermatology, School of Medicine, Wonkwang University, Jeolabuk-do 54538, Republic of Korea
5
Department of Hematooncology, College of Medicine, Korea University, Seoul 02841, Republic of Korea
*
Author to whom correspondence should be addressed.
These authors contributed equally to this work.
Healthcare 2023, 11(4), 563; https://doi.org/10.3390/healthcare11040563
Submission received: 2 December 2022 / Revised: 20 January 2023 / Accepted: 13 February 2023 / Published: 14 February 2023

Abstract

:
As the number of elderly drivers rapidly increases worldwide, interest in the dangers of driving is growing as accidents rise. The purpose of this study was to conduct a statistical analysis of the driving risk factors of elderly drivers. In this analysis, data from the government organization’s open data were used for the secondary processing of 10,097 people. Of the 9990 respondents, 2168 were current drivers, 1552 were past drivers but were not driving presently, and 6270 did not have a driver’s license; the participants were divided into groups accordingly. The elderly drivers who were current drivers had a better subjective health status than those who were not. Visual and hearing aids were used in the current driving group, and their depression symptoms reduced as they drove. The elderly who were current drivers experienced difficulties while driving in terms of decreased vision, hearing loss, reduced arm/leg reaction speed, decreased judgment of the road conditions such as signals and intersections, and a decreased sense of speed. The results suggest that elderly drivers are unaware of the medical conditions that can negatively affect their driving. This study contributes to the safety management of elderly drivers by understanding their mental and physical status.

1. Introduction

Globally, the number of elderly drivers aged 65 and over was 7685 million in 2019, accounting for 14.9% of the total population [1]. This number is rapidly and continuously increasing. Therefore, as many accidents occur among elderly drivers, interest in the dangers of driving is increasing [2]. One study reported that elderly people with a driver’s license can improve their independence by self-driving: thus, increasing their autonomy in participating in old-age activities [3]. Among the elderly, driving is considered an essential action that expands the scope of activities, such as leisure activities, visits to hospitals, and shopping, and provides opportunities for independence in their daily lives [4]. In this way, elderly drivers have positive emotional and social functions, given the increasing opportunities for social activities [5]. Thus, elderly people who drive themselves are considered to have a relatively high level of life satisfaction [6]. Approximately 30,000 cases were reported in 2018 in the Republic of Korea, and this number is continuously increasing [7,8]. When accidents occur, the elderly suffer serious injuries and have a slow recovery rate compared to young people [2,4]. As such, elderly drivers have a high risk of traffic accidents, and their anxiety about accidents is severe compared to the other age groups [5,9].
The ability of elderly drivers to self-regulate changes in their driving ability by becoming more aware of and managing their health status is naturally strengthened with increasing age [10]. Nevertheless, the reliability of elderly drivers’ awareness of their health status and driving ability is controversial [11]. In countries such as the United States, the United Kingdom, Canada, and Australia, a self-reporting evaluation method was used to investigate the characteristics of elderly drivers [12,13]. Although they tend to avoid certain driving situations, such as night driving, long-distance driving, and driving when the roads are congested [8,14,15], they are affected by society and the culture to which they belong [16]. Some studies analyzed changes in behavior, cognition, perception, and physical function of elderly drivers while driving using the Self-report Assessment Forecasting Elderly Driving Risk (SAFE-DR), which was developed to assess the situation in the Republic of Korea [15,17,18].
Owing to medical advances and changes in the social environment, the proportion of elderly drivers is rapidly increasing and will continue to increase [1]. If elderly drivers are not aware of their physical changes and do not avail themselves of treatment in a timely manner, it interferes with their driving ability [5] and, consequently, increases the risk of accidents. This study aimed to analyze the physical characteristics, underlying diseases, and health consciousness of elderly drivers to identify their mental and physical conditions and help prevent traffic accidents. In addition, the researchers provide basic data for related research.

2. Materials and Methods

2.1. Study Design and Sampling

The data for this study were obtained from the Health and Welfare Data Portal of the Korea Institute of Health and Social Affairs and included the data of 10,097 elderly people in the Republic of Korea aged 65 years and over (National Statistics approval no. 117071). A total of 10,097 people were surveyed; 107 people who did not drive were excluded from the total, and the remaining 9990 people were divided into three groups: 2168 people who were currently driving, 1552 people who were past drivers but were not currently driving at the time of the survey, and 6270 people who had no driver’s license. Those with the highest age of elderly drivers at the time of the survey were selected and further classified as those without a driver’s license, past drivers, or not current drivers, who were at the time of the survey. The participants’ ages ranged from 65–90 years (Figure 1).

2.2. Data Variables

The data description of the variables used in this study is as follows:
(1)
Driving status, which was divided into two groups: past drivers (not currently driving) and not having a driver’s license.
(2)
Health status and health behavior, which included thoughts on health in general; presence of chronic diseases (diseases lasting for more than 3 months as diagnosed by a doctor, namely circulatory diseases: high blood pressure, stroke (stroke, cerebral infarction), hyperlipidemia (dyslipidemia), angina pectoris, and myocardial infarction (heart failure and arrhythmia); endocrinal disease: diabetes and thyroid disease; musculoskeletal diseases: osteoarthritis (degenerative arthritis), rheumatoid arthritis, osteoporosis, low back pain, sciatica, fracture, dislocation, and after effects of accidents; respiratory diseases: chronic bronchitis, emphysema, asthma, pulmonary tuberculosis, and tuberculosis, neuropsychiatric diseases: depression, dementia, Parkinson’s disease, and insomnia; sensory diseases: cataract, glaucoma, chronic otitis media, senile deafness, skin disease, and cancer (malignant neoplasm); digestive diseases: gastroduodenal ulcer, hepatitis, and liver cirrhosis; genitourinary diseases: chronic kidney disease, prostatic hyperplasia, urinary incontinence, and anemia, etc.
(3)
State of physical function, including eyesight (watching TV, reading newspapers), hearing (talking on the phone, talking to the person next to you), chewing (chewing meat or hard things), and determining muscle strength (active movement (running about one lap (400 m) on the playground), walking around the playground (400 m), climbing 10 steps without a break, bending over, squatting, or kneeling, and reaching out for something higher than one’s head). Physical functioning was divided into lifting, moving, and disability determination.
(4)
Depressive symptoms were measured using the shortened geriatric depression scale (SGDS)-K15, which is a Korean translation of the SGDS developed by [19] to evaluate depressive symptoms in the elderly population (out of a total score of 15, individuals with a score of 8 or higher were classified as having depressive symptoms).
(5)
Social activities and discomfort in social activities were classified into two categories, namely, difficulty in using the information necessary for life and the inconvenience caused by using information technology in everyday life.
(6)
Economic activity was classified into current income, work, and desired work.
(7)
Precognitive function: cognitive function was confirmed and measured using the Mini-Mental State Examination for Dementia Screening (MMSE-DS) test tool. A representative screening test developed by [20] is widely used for simple and rapid measurement as well as screening for any cognitive impairment; the standardized Korean version of the mini-mental state examination (MMSE-K) [21], the Korean mini-mental state examination (K-MMSE) [22], and the mini-mental state examination-Korean children (MMSE-KC) [23] have been used in the Republic of Korea. A total mini-mental state examination (MMSE) score of 30 points is considered the cut-off point for cognitive impairment; a score of 0–10 indicates severe cognitive impairment, 10–20 indicates moderate cognitive impairment, 20–24 indicates mild cognitive impairment, and 24–30 indicates no cognitive impairment [14].
(8)
General characteristics, such as gender, height (cm), weight (kg), body mass index (kg/m²), drinking, smoking, education level, subjective age of the elderly, suicidal ideation, and health-type factors, were obtained.

2.3. Data Analysis

All continuous variables in this study are expressed as standard deviation mean (SD), and categorical variables are expressed as percentages (%) in their respective groups. A normality test was performed, and the significance of Kolmogorov-Smirnov and Shapiro-Wilk was lower than the p-value of 0.05, so it was judged to be non-normal. The difference between all dependent variables, according to the presence or absence of driving, was verified using the Kruskal-Wallis test and the Chi-square test (frequency was 20.0% over performing a Fisher’s exact test). For the analysis, we used IBM SPSS Statistics for Windows, version 25.0 (IBM Corp., Armonk, NY, USA), and the statistical significance level was set at p < 0.05.

3. Results

The elderly who currently drive had a better subjective health status than those who did not. Among the current drivers, seven people had severe disabilities (grades 1–3), 44 had moderate disabilities (grades 4–6), 32 had physical disabilities, 11 had hearing impairments, three had visual impairments, and two had respiratory problems. At the time of the data investigation, most of the diseases had been cured, but there were differences between the groups in the treatment status of diabetes and chronic diseases, such as back pain, sciatica, pulmonary tuberculosis, and tuberculosis. The people who were not driving had more chronic diseases. In the currently driving group, the use of visual and hearing aids was 52.7% and 7.7%, respectively. Among the participants, 25.9% had discomfort due to bad eyesight, 15.1% had a hearing discomfort, and 28.0% experienced discomfort due to bending, squatting, kneeling, or reaching out for something higher than their heads. Of the respondents, 19.5% reported that it was difficult to perform touch movements. Depression symptoms decreased as they drove, and cognitive function was better in the driving group than in the other groups; however, it was also lower than the cut-off points for those over the age of 80. Among the elderly who were current drivers, 12.0% said that they experienced difficulties while driving in terms of decreased vision, hearing loss, decreased arm/leg reaction speed, decreased judgment (understanding of road conditions such as signals and intersections), and sense of speed. In other words, to prevent accidents due to aging, it is necessary to contribute to the safety management of elderly drivers by identifying their mental and physical conditions through precise identification of their mental and physical conditions.

3.1. General Characteristics

The general characteristics of the study participants were as follows: “current drivers” included 1729 men and 439 women; “past drivers but not current drivers” included 1237 men and 315 women; and 1045 men and 5225 women had “no driver’s license”. There was a difference between the groups with regard to age: “current drivers” 69.3(4.22), “past drivers but not current drivers” 74.08(5.74), and “no driver’s license” 74.58(6.54) (p < 0.001). Regarding the subjectively considered age of the elderly, there was a difference between the groups: 71.32(4.60) were “current drivers”, 69.72(4.14) were “past drivers but not current drivers”, and 70.02(4.04) had “no driver’s license” (p < 0.001). There was a difference in the presence or absence of disability determination as follows: 51 people were “current drivers”, 92 were “past drivers but not current drivers”, and 301 people had “no driver’s license” (p < 0.001). Regarding the degree of disability, “current drivers” comprised 7 people with severe disability (grades 1–3) and 44 people with moderate disability (grades 4–6); “past drivers but not current drivers” comprised 29 people with severe disability (grades 1–3) and 63 people with moderate disability (4–6); those with “no driver’s license” comprised 68 people with severe disability (1–3) and 233 people with moderate disability (4–6), exhibiting a group difference of p = 0.046. As for the usual subjective health status, 1598 people said they were “current drivers”, 749 people stated they were “past drivers but not current drivers”, and 2576 people stated they had “no driver’s license”; the perceived health difference was p < 0.001 (Table 1).

3.2. Current Disease Status and Their Treatment

The results of the current disease status and whether there were patients receiving treatment are as follows: although there were differences in most diseases, treatment was completed at the time of investigation; however, there was a difference between the groups in the presence or absence of treatment for diabetes (p = 0.01), musculoskeletal diseases (back pain, sciatica) (p < 0.001), and respiratory diseases (pulmonary tuberculosis, tuberculosis) (p = 0.037). The total number of chronic diseases diagnosed by doctors was 1.37 (1.24) for “current drivers”, 1.78 (1.50) for “past drivers but not current drivers”, and 2.02 (1.50) for “no driver’s license” exhibiting differences between the groups (p < 0.001). The number of prescription drugs being taken for more than 3 months was 1.31 (1.20) for “current drivers”, 1.78 (1.74) for “past drivers but not current drivers”, and 1.94 (1.55) for “no driver’s license” (p < 0.001) (Table 2).

3.3. Physical Function Status and Discomfort in Daily Life

The following were the outcomes of the physical function status and discomfort in daily living: For those who answered “yes” regarding the use of a vision aid, 1142 people were “current drivers”, 890 people were “past drivers but not current drivers”, and 3247 people had “no driver’s license”; there was a difference between the groups (p < 0.001). As for those who answered “yes” in relation to the use of hearing aids, 1676 people were “current drivers”, 199 people were ” past drivers but not current drivers”, and 747 people had “no driver’s license”; there was a difference between the groups (p < 0.001). Those who were “uncomfortable” in their daily lives as a result of bad vision were as follows: “current drivers” consisted of 560 people, “past drivers but not current drivers” consisted of 508 people, and “no driver’s license” consisted of 2165 people; there was a difference between groups (p < 0.001). For discomfort due to hearing in daily life, “current drivers” consisted of 327 people, “past drivers but not current drivers” consisted of 383 people, and “no driver’s license” consisted of 1534 people who were “uncomfortable”; there was a difference between the groups (p < 0.001). Regarding the difficulty in performing motions (such as bending, squatting, or kneeling), “current drivers” consisted of 608 people, “past drivers but not current drivers” consisted of 770 people, and “no driver’s license” consisted of 3506 people who stated that it was “slightly or very difficult”; there was a difference between the groups (p < 0.001). For difficulty in performing movements (such as reaching out for something higher than their head), “current drivers” consisted of 423 people, “past drivers but not current drivers” consisted of 616 people, and “no driver’s license” consisted of 2911 people who stated that it was “slightly or very difficult”; there was a difference between groups (p < 0.001) (Table 3).

3.4. Depressive Symptom

As a result of examining the depressive symptoms, the score was 10.08 (2.21) for “current drivers”, 10.40 (2.20) for “past drivers but not current drivers”, and 10.34 (2.28) for “no driver’s license”, with a cut-off point of 8. The “current drivers” group exhibited a lower depression score than the “no driver’s license” (p < 0.001) group. Despite this, all groups were found to have high levels of depression.

3.5. Economic Activity

The results related to economic activity were as follows: In relation to current economic activity, 1432 people were from the “current drivers” group, 448 people from the “past drivers but not current drivers” group, and 1898 people from the “no driver’s license” group were “currently working”. There were 676 “current drivers”, 1041 “past drivers but not current drivers”, and 3116 having “no driver’s license” who had “previously worked but not currently working”. The “never worked” people who were “current drivers” were 60 people, “previously a driver but not currently” were 63 people, and 1256 people had “no driver’s license”; there was a difference between the groups (p < 0.001). As for the participants who would like to work in the future, there were 804 people who “didn’t want to work” who were “current drivers” and 1006 people who had “no driver’s license”; 4298 people indicated wanting to “continue their current work” of which 1135 people were “current drivers” and 334 people had “no driver’s license”; 1339 people wanted to “continue with current job”, of which 82 people were “current drivers”, 53 people were “past drivers but not current drivers”, and 130 people had “no driver’s license. There were 141 “current drivers”, 130 “past drivers but not current drivers”, and 379“having no driver’s license”; there was a difference between groups (p < 0.001) (Table 4).

3.6. Recognition Function

The results reflecting age and educational level that affect cognitive impairment are as follows: Looking at overall cognitive impairment, the elderly who were in the “current drivers” group had less precognitive impairment than the “past drivers but not current drivers” and “no driver’s license” groups. However, in the driving group, there were participants with lower than the recognition function cut-off points of 30 in the age group of 80 years or older (Table 5).

3.7. Current Drivers

The degree of difficulty in driving was as follows: 24 people found it to be very difficult; 238 people stated that it was somewhat difficult; 352 people stated that it was just so; 859 people stated that it was not difficult at all; and 689 people stated that it was not at all. The difficulties experienced while driving were “eyesight impairment” in 236 people, “hearing impairment” in 22 people, “decreased reaction speed in arms and legs” in 82 people, “decreased judgment” (understanding road conditions such as intersections) in 151 people, and “slow speed” in 123 people.

4. Discussion and Conclusions

The data for this study were obtained from the health and welfare data portal of the Korea Institute for Health and Social Affairs to identify the physical and mental status of the elderly who are currently driving. A total of 9,990 people took part in the survey in 2020. Choi stated that elderly drivers experiencing difficulties adapting to changes in driving conditions are aware of the driving risks, including deterioration in sight and hearing [11]. It has been shown that many elderly drivers choose to drive despite the deterioration in their sight and hearing, which is a result of their natural aging and can cause serious accidents. Lee also stated that elderly drivers’ ability to adapt to driving situations is related to the risk of traffic accidents, which means that the physical health of the elderly is highly correlated with their driving performance [19].
Aging is natural, but the deterioration of vision inevitably increases the risk of accidents associated with driving; hence, elderly drivers must accurately recognize their mental and physical conditions. Health status is highly correlated with the safety perception of driving. If the elderly are rewarded for good health status, [5] they will drive more cautiously. Previous studies also reported that elderly drivers become distracted while driving owing to the increased auditory processing load, which increases the risk of driving accidents owing to increased driving speed variability [11,12]. It has been recognized that the driving risk increases when the elderly drive [11]. In addition, complications that can lead to accidents and, consequently, cause social problems are also important when psychotic or cognitive impairment occurs in elderly drivers [5,11]. In reality, it is impossible to unconditionally ban the elderly from driving, but in particular, the elderly who have vision and hearing impairments should receive driving assistance through orthoses and treatment.
It was reported that the elderly who currently drive had a better subjective health status than those who did not. Among the “current drivers”, seven people had severe disabilities (grades 1–3), 44 had moderate disabilities (grades 4–6), 32 had physical disabilities, 11 had hearing impairments, three had visual impairments, and two had respiratory problems. At the time of the data investigation, most of the current diseases had been cured, but there were differences between the groups in the treatment status of diabetes and chronic diseases such as back pain, sciatica, pulmonary tuberculosis, and tuberculosis. The number of chronic diseases increased, resulting in the elderly not driving. In addition, for 28.0% of the respondents, bending, squatting, and kneeling movements were difficult, and for 19.5%, reaching for something higher than their head was difficult. Depression symptoms decreased as they drove, and cognitive function was better in the driving group than in the other groups, but it was also lower than the cut-off point for those over the age of 80. Among the elderly who are currently drivers, 12.0% said that they experienced difficulties while driving in terms of decreased vision, hearing loss, decreased arm/leg reaction speed, decreased judgment (understanding of road conditions, such as signals and intersections), and decreased sense of speed. In a study by Choi, elderly drivers were found to take drugs for hypertension, diabetes, and hyperlipidemia [11]. Also, regarding the economic activity results of elderly drivers, there is a significant difference between groups according to current drivers, drivers who have driven in the past, and those without a driver’s license. This means that driving and economic activities are significantly correlated, and drivers have a strong correlation with economic activity. In this study, diseases such as diabetes, lower back pain, and sciatica were significantly different from those in the other groups. These results suggest that elderly drivers are unaware of medical conditions that can negatively affect their driving. The findings of this study can facilitate the safety management of elderly drivers by better understanding their mental and physical status.
This study has some limitations. The results must be interpreted with caution, as the findings do not represent all elderly drivers in the Republic of Korea. Further, the findings do not reflect the actual driving situation. In addition, it was impossible to directly discuss the risk of driving due to neurological symptoms.

Author Contributions

Conceptualization, S.-H.J., E.-Y.K., C.O. and J.K.; data curation, S.-H.J., E.-Y.K. and W.-J.C.; formal analysis, S.-H.J., E.-Y.K., S.-J.L., H.-J.S. and J.K.; funding acquisition, J.K.; investigation, E.-Y.K., S.-J.L. and J.K.; methodology, S.-H.J. and E.-Y.K.; project administration, W.-J.C. and J.K.; resources, S.-H.J. and H.-J.S.; software, E.-Y.K., S.-J.L., W.-J.C. and J.K.; supervision, J.K.; validation, S.-H.J., E.-Y.K., W.-J.C., C.O. and H.-J.S.; visualization, E.-Y.K.; writing—original draft, S.-H.J., E.-Y.K. and J.K.; writing—review and editing, W.-J.C., C.O. and J.K. All authors have read and agreed to the published version of the manuscript.

Funding

This study was supported by a Korea University Grant, Basic Science Research Program, through the National Research Foundation of Korea (NRF), funded by the Ministry of Education, Science, and Technology (NRF-2022R1I1A1A01071220), and the National Research Foundation of Korea (NRF) grant funded by the Korean government (MSIT) (No. 2020R1A5A1018052).

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

Not applicable.

Acknowledgments

This study data was processed and used as raw data from the Health and Welfare Data Portal of the Korea Institute of Health and Social Affairs (https://data.kihasa.Re.kr/kihasa/) and was based on the data (National Statistics approval no. 117071). We accessed it on 20 June 2022.

Conflicts of Interest

The authors declare no conflict of interest.

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Figure 1. Data cleaning process flow.
Figure 1. Data cleaning process flow.
Healthcare 11 00563 g001
Table 1. General characteristics of the participants.
Table 1. General characteristics of the participants.
CharacteristicsDriving
Current DriversPast But Not Current DriversNo Driver’s LicenseX2 3/H 4p-Value
N 5/M 1%/SD 2N/M%/SDN/M%/SD
SexMan172979.8123779.7104516.73864.248<0.001
Female43920.231520.3522583.3
Height (cm)167.686.77166.226.92157.297.133209.849<0.001
Weight (kg)66.747.5665.027.7858.297.981940.261<0.001
Body mass index (BMI)23.712.0923.522.3523.552.8213.5570.001
Age (years)69.344.2274.085.7474.586.541192.218<0.001
Recognition of elderly age criteria71.324.6069.724.1470.024.04167.758<0.001
Education LevelUneducated (not reading)0070.52974.72320.532<0.001
Uneducated (reading)100.5503.273911.8
Elementary school26112.039425.4269443.0
Middle school48322.343127.8144723.1
High school110951.254435.1101316.2
College1265.8412.6360.6
University1798.3855.5440.7
DisabilityYes512.4925.93014.832.257<0.001
No211797.6146094.1596995.2
Degree of disabilitySevere disability
(1–3 degree)
713.72931.56822.66.1540.046
Moderate disability
(4–6 degree)
4486.36368.523377.4
Disability typeMental retardation3262.75054.317558.1--
Brain lesion disorder12.088.7196.3
Visual impairment35.966.5268.6
Deafness1121.61617.45116.9
Speech disorders00.011.141.3
Intellectual disability00.011.151.7
Autistic disorders00.000.000.0
Mental disorders00.011.162.0
Renal failure12.022.262.0
Heart disorders00.022.251.7
Respiratory disorders23.933.310.3
Hepatic impairment00.000.000.0
Facial disorders00.011.100.0
Stoma disorder12.011.120.7
Epilepsy disorder00.000.010.3
Regular exerciseYes136462.991058.6295147.1191.752<0.001
No80437.164241.4331952.9
Exercise time(min) / (1 time)572848284424272.011<0.001
Exercise frequency in
1 week
1 time402.9151.6582.025.2040.014
2 times14110.3859.32428.2
3 times28721.020722.759520.2
4 times1027.5636.92227.5
5 times37027.121223.379426.9
6 times936.8869.52709.1
7 times33124.324226.677026.1
SmokingYes51423.727817.93104.9666.616<0.001
No165476.3127482.1596095.1
Average amount of alcohol consumed (oz)4.462.404.072.173.211.98290.814<0.001
Health statusVery healthy24711.4543.51312.1889.457<0.001
Healthy135162.569545.6244539.8
Normal45020.849732.6213934.8
Bad1135.223415.4128620.9
Very bad10.0432.81452.4
1 M: average, 2 SD: standard deviation, 3 X2: Chi-square test, 4 H: Kruskal-Wallis test, 5 N; frequency, p-value < 0.05.
Table 2. Health status and health behavior.
Table 2. Health status and health behavior.
CharacteristicsDrivingX2 3/H 4p-Value
Current DriversPast But Not Current DriversNo Driver’s License
N 5/M 1%/SD 2N/M%/SDN/M%/SD
Doctor’s diagnosis of hypertensionYes113452.389957.9371059.231.204<0.001
No103447.765342.1256040.8
Treatment of hypertensionYes112198.989399.3365798.63.5180.172
No131.160.7531.4
Doctor’s diagnosis of stroke
(Stroke, cerebral infarction)
Yes371.7815.22954.741.999<0.001
No213198.3147194.8597595.3
Treatment of stroke
(Stroke, cerebral infarction)
Yes37100.08098.828596.62.2510.325
No00.011.2103.4
Doctor’s diagnosis of hyperlipidemia
(dyslipidemia)
Yes32414.919312.4118818.946.082<0.001
No184485.1135987.6508281.1
Treatment of hyperlipidemia
(dyslipidemia)
Yes31396.619098.4116498.02.6620.264
No113.431.6242.0
Doctor’s diagnosis of angina pectoris and
myocardial infarction
Yes763.5694.43125.08.0500.018
No209296.5148395.6595895.0
Treatment of angina pectoris and
myocardial infarction
Yes7497.46797.130698.10.3350.846
No22.622.961.9
Doctor’s diagnosis of heart diseasesYes653.0634.13295.219.785<0.001
No210397.0148995.9594194.8
Treatment of heart diseasesYes6396.96298.432799.43.2220.200
No23.111.620.6
Doctor’s diagnosis of diabetesYes42119.440125.8158125.232.829<0.001
No174780.6115174.2468974.8
Treatment of diabetesYes41999.5401100.0155798.58.6440.013
No20.500.0241.5
Doctor’s diagnosis of thyroid diseaseYes361.7382.42353.725.968<0.001
No213298.3151497.6603596.3
Treatment of thyroid diseaseYes3494.43797.423198.32.1200.346
No25.612.641.7
Doctor’s diagnosis of osteoarthritis
(Degenerative arthritis)
Yes1406.51439.2128820.5299.936<0.001
No202893.5140990.8498279.5
Treatment of osteoarthritis
(Degenerative arthritis)
Yes12690.013393.0119392.61.3180.517
No1410.0107.0957.4
Doctor’s diagnosis of osteoporosisYes502.3734.770111.2198.134<0.001
No211897.7147995.3556988.8
Treatment of osteoporosisYes4488.06893.265092.71.5500.461
No612.056.8517.3
Doctor’s diagnosis of low back pain and sciaticaYes753.5956.177612.4173.448<0.001
No209396.5145793.9549487.6
Treatment of low back pain and sciaticaYes6384.08892.665183.95.0480.080
No1216.077.412516.1
Doctor’s diagnosis of fracture, dislocation,
and aftereffects of accidents
Yes170.8191.2931.56.2420.044
No215199.2153398.8617798.5
Treatment of fracture, dislocation,
and aftereffects of accidents
Yes1588.21684.28389.20.3900.823
No211.8315.81010.8
Doctor’s diagnosis of fracture,
chronic bronchitis, and emphysema
Yes371.7342.2510.824.973<0.001
No213198.3151897.8621999.2
Treatment of chronic bronchitis and emphysemaYes3491.93397.14588.22.1110.348
No38.112.9611.8
Doctor’s diagnosis of asthmaYes190.9402.61161.916.151<0.001
No214999.1151297.4615498.1
Treatment of asthmaYes1789.53792.511094.80.9240.630
No210.537.565.2
Doctor’s diagnosis of pulmonary tuberculosisYes10.040.370.13.4770.176
No2167100.0154899.7626399.9
Treatment of pulmonary tuberculosisYes00.0375.07100.06.6000.037
No1100.0125.000.0
Doctor’s diagnosis of depressionYes60.3221.41131.826.942<0.001
No216299.7153098.6615798.2
Treatment of depressionYes6100.01881.810088.51.6340.442
No00.0418.21311.5
Doctor’s diagnosis of dementiaYes80.4271.71372.231.401<0.001
No216099.6152598.3613397.8
Treatment of dementiaYes787.527100.013195.62.6350.268
No112.500.064.4
Doctor’s diagnosis of Parkinson’s diseaseYes00.0171.1320.522.371<0.001
No2168100.0153598.9623899.5
Treatment of Parkinson’s diseaseYes00.017100.032100.0--
No00.000.000.0
Doctor’s diagnosis of insomniaYes291.3312.01302.14.7640.092
No213998.7152198.0614097.9
Treatment of insomniaYes2275.92580.610681.50.4880.784
No724.1619.42418.5
Doctor’s diagnosis of cataractYes934.3704.52824.50.1770.915
No207595.7148295.5598895.5
Treatment of cataractYes7883.95781.420572.76.0080.050
No1516.11318.67727.3
Doctor’s diagnosis of glaucomaYes180.8211.4500.84.4650.107
No215099.2153198.6622099.2
Treatment of glaucomaYes1477.82095.24080.02.9140.233
No422.214.81020.0
Doctor’s diagnosis of chronic otitis mediaYes160.7130.8270.45.2610.072
No215299.3153999.2624399.6
Treatment of chronic otitis mediaYes16100.013100.02696.31.0940.579
No00.000.013.7
Doctor’s diagnosis of senile deafnessYes150.7483.11462.330.050<0.001
No215399.3150496.9612497.7
Treatment of senile deafnessYes960.03368.88356.82.1290.345
No640.01531.36343.2
Doctor’s diagnosis of skin diseaseYes231.1151.0290.511.0720.004
No214598.9153799.0624199.5
Treatment of skin diseaseYes2087.015100.02379.33.4780.173
No313.000.0620.7
Doctor’s diagnosis of cancer
(malignant neoplasm)
Yes331.5392.5951.57.9110.019
No213598.5151397.5617598.5
Treatment of cancer
(malignant neoplasm)
Yes3090.93692.38185.31.3450.548
No39.137.71414.7
Doctor’s diagnosis of gastroduodenal ulcerYes944.3694.42724.30.0370.982
No207495.7148395.6599895.7
Treatment of gastroduodenal ulcerYes9095.76695.725393.01.3140.518
No44.334.3197.0
Doctor’s diagnosis of hepatitisYes60.350.3220.40.2730.873
No216299.7154799.7624899.6
Treatment of hepatitisYes583.3360.02195.54.6750.056
No116.7240.014.5
Doctor’s diagnosis of liver cirrhosisYes50.2110.7150.29.4340.009
No216399.8154199.3625599.8
Treatment of liver cirrhosisYes5100.011100.01493.31.4281.000
No00.000.016.7
Doctor’s diagnosis of chronic kidney diseaseYes90.4301.9550.923.091<0.001
No215999.6152298.1621599.1
Treatment of chronic kidney diseaseYes9100.02893.35498.21.6630.472
No00.026.711.8
Doctor’s diagnosis of prostatic hyperplasiaYes1185.41237.91001.6185.803<0.001
No205094.6142992.1617098.4
Treatment of prostatic hyperplasiaYes11093.211996.79797.02.4400.295
No86.843.333.0
Doctor’s diagnosis of urinary incontinenceYes190.9271.72664.271.951<0.001
No214999.1152598.3600495.8
Treatment of urinary incontinenceYes947.41866.712547.03.8120.419
No1052.6933.314153.0
Doctor’s diagnosis of anemiaYes130.6231.5931.510.3920.006
No215599.4152998.5617798.5
Treatment of anemiaYes1076.92295.77681.73.2790.175
No323.114.31718.3
Doctor’s diagnosis of ETCYes401.8241.51282.01.7040.426
No212898.2152898.5614298.0
Treatment of ETCYes3690.024100.012295.32.6700.273
No410.000.064.7
Doctor’s diagnosis total number1.371.241.781.502.021.50356.311<0.001
Prescription medication that currently
taking for more than 3 months
1.311.201.781.741.941.55315.923<0.001
1 M: average, 2 SD: standard deviation, 3 X2: Chi-square test, 4 H: Kruskal-Wallis test, 5 N: frequency, p-value < 0.05.
Table 3. Physical function and daily life discomfort.
Table 3. Physical function and daily life discomfort.
CharacteristicsDrivingX2 3/H 4p-Value
Current DriversPast But Not Current DriversNo Driver’s License
N 1% 2N/M%N/M%
Assisted with eyesightYes114252.789057.3324751.815.459<0.001
No102647.366242.7302348.2
Assisted with hearingYes1677.719912.874711.934.099<0.001
No200192.3135387.2552388.1
Assisted with chewingYes53024.455836.0254640.6181.906<0.001
No163875.699464.0372459.4
Discomfort of eyesightNot uncomfortable160274.1101566.6398164.868.161<0.001
Uncomfortable52424.246530.5203933.2
Very uncomfortable361.7432.81262.1
Discomfort of hearingNot uncomfortable183584.9114074.9461275.097.336<0.001
Uncomfortable30814.234322.5140022.8
Very uncomfortable190.9402.61342.2
Discomfort of chewingNot uncomfortable161174.593461.3360858.7173.696<0.001
Uncomfortable50123.252234.3225236.6
Very uncomfortable502.3674.42864.7
Muscle strength when sitting in a chair or bed and then getting up 5 timesPerformed200892.6112672.6417466.6586.185<0.001
Tried but failed to perform (5 times not successful)823.830219.5159425.4
Inability to even attempt to perform (elderly people with a vortex, or other disabilities that make it impossible to stand up)100.5432.81742.8
Want to do it now683.1815.23285.2
Difficulty in performing movements such as jumping one lap (400 m) on the playgroundNot difficult at all57626.618912.24547.21193.227<0.001
Slightly difficult88240.743728.2137121.9
Very difficult50823.458037.4241438.5
Cannot do it at all1637.530419.6192030.6
Do now391.8422.71111.8
Difficulty performing movements such as walking one lap (400 m) on the playgroundNot difficult at all160674.180752.0249339.8826.431<0.001
Slightly difficult41419.147730.7210733.6
Very difficult1245.718712.0115718.5
Cannot do it at all160.7724.64697.5
Do now80.490.6440.7
Difficulty in climbing 10 steps without a breakNot difficult at all146567.663941.2203032.4907.291<0.001
Slightly difficult55025.456736.5239138.1
Very difficult1296.027117.5141522.6
Cannot do it at all200.9704.53946.3
Do now40.250.3400.6
Difficulty performing movements such as bending, squatting, or kneelingNot difficult at all153570.872246.5244939.1682.021<0.001
Slightly difficult48222.255135.5241038.4
Very difficult1265.821914.1109617.5
Cannot do it at all221.0583.72934.7
Do now30.120.1220.4
Difficulty performing movements such as reaching out for something above the headNot difficult at all172979.889557.7313950.1590.074<0.001
Slightly difficult33015.247430.5216234.5
Very difficult934.31429.174911.9
Cannot do it at all130.6382.41973.1
Do now30.130.2230.4
Difficulty in performing operations such as lifting or moving about 8 kg of riceNot difficult at all147868.269444.7209733.4855.233<0.001
Slightly difficult49622.951933.4231636.9
Very difficult1667.725416.4130420.8
Cannot do it at all251.2795.15218.3
Do now30.160.4320.5
1 N: frequency, 2 %: percentage, 3 X2: Chi-square test, 4 H: Kruskal-Wallis test, p-value < 0.05.
Table 4. Social and economic activity.
Table 4. Social and economic activity.
CharacteristicsDrivingX2 3/H 4p-Value
Current DriversPast But Not Current DriversNo Driver’s License
N 1% 2N/M%N/M%
Current economic activity Currently working143266.1 448 28.9 1898 30.3 1305.474<0.001
Previously worked but not currently 676 31.2 1041 67.1 3116 49.7
Not working 60 2.8 63 4.1 1256 20.0
Current workFarmers and fisheries 353 24.7 77 17.2 482 25.4 854.529<0.001
Cost facilities management 159 11.1 92 20.5 132 7.0
Cleaning 59 4.1 65 14.5 468 24.7
Production 83 5.8 27 6.0 69 3.6
Household care 21 1.5 3 0.7 82 4.3
Driving transport 160 11.2 8 1.8 8 0.4
Professions 69 4.8 8 1.8 20 1.1
Office 37 2.6 7 1.6 8 0.4
Cooking and food 148 10.3 33 7.4 242 12.8
Courier and delivery 20 1.4 3 0.7 4 0.2
Site management 46 3.2 16 3.6 22 1.2
Environmental landscaping 27 1.9 27 6.0 114 6.0
Construction machinery 135 9.4 23 5.1 28 1.5
Culture and arts 9 0.6 0 0.0 3 0.2
Maintaining public order 14 1.0 16 3.6 69 3.6
Waste paper collection 5 0.3 8 1.8 24 1.3
ETC 87 6.1 35 7.8 123 6.5
Work statusDon’t want to work 804 37.2 1006 66.1 4298 69.9 867.564<0.001
Continue with current job 1135 52.5 334 21.9 1339 21.8
Seeking different work 82 3.8 53 3.5 130 2.1
Do not work now, but want to work 141 6.5 130 8.5 379 6.2
1 N: frequency, 2 %: percentage, 3 X2: Chi-square test, 4 H: Kruskal-Wallis test, p-value < 0.05.
Table 5. Precognitive function (MMSE-K).
Table 5. Precognitive function (MMSE-K).
CharacteristicsEducation Level
0–3 Years4–6 Years7–12 Years13 Years or More
MaleFemaleMaleFemaleMaleFemaleMaleFemale
Current driversAge65–6930 (2)30 (1)27 (73)27 (40)27 (776)27 (272)28 (165)29 (39)
70–7430 (2)25 (1)26 (60)25 (14)26 (344)27 (40)29 (66)28 (5)
75–7927 (2)24 (1)25 (45)26 (7)27 (120)26 (9)26 (16)29 (2)
80 over22 (3)16 (1)23 (15)23 (4)27 (30)6 (1)28 (10)30 (2)
Past but not current drivers65–6926 (1)23 (1)24 (42)25 (16)25 (185)27 (126)24 (14)28 (15)
70–7421 (5)25 (1)25 (71)26 (15)25 (249)27 (62)26 (32)27 (4)
75–7922 (11)25 (4)24 (117)26 (20)25 (211)25 (19)26 (29)25 (6)
80 over20 (29)15 (4)23 (96)23 (9)24 (114)24 (11)25 (31)29 (2)
No driver’s license65–6921 (6)23 (41)26 (36)25 (385)24 (141)26 (1097)26 (10)26 (37)
70–7425 (9)22 (132)23 (94)24 (602)23 (147)25 (513)28 (8)25 (16)
75–7923 (14)21 (256)23 (113)23 (616)23 (106)24 (241)27 (9)24 (14)
80 over22 (72)20 (514)22 (180)22 (627)21 (91)23 (129)26 (9)24 (5)
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MDPI and ACS Style

Jeong, S.-H.; Kim, E.-Y.; Lee, S.-J.; Choi, W.-J.; Oh, C.; Sung, H.-J.; Kim, J. Health Status and Activity Discomfort among Elderly Drivers: Reality of Health Awareness. Healthcare 2023, 11, 563. https://doi.org/10.3390/healthcare11040563

AMA Style

Jeong S-H, Kim E-Y, Lee S-J, Choi W-J, Oh C, Sung H-J, Kim J. Health Status and Activity Discomfort among Elderly Drivers: Reality of Health Awareness. Healthcare. 2023; 11(4):563. https://doi.org/10.3390/healthcare11040563

Chicago/Turabian Style

Jeong, Sang-Hoon, Eun-Yeob Kim, Seung-Jin Lee, Woo-June Choi, Chilhwan Oh, Hwa-Jung Sung, and Jaeyoung Kim. 2023. "Health Status and Activity Discomfort among Elderly Drivers: Reality of Health Awareness" Healthcare 11, no. 4: 563. https://doi.org/10.3390/healthcare11040563

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