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Article

Factors Affecting the Deterioration of the Physical Health Status of Taxi Drivers by Age Group

by
Jongsun Ok
1,
Kyonghwa Kang
2,* and
Hyeongsu Kim
3
1
Department of Nursing, College of Nursing, Konkuk University, Chungju 27478, Korea
2
Department of Nursing, College of Health, Welfare and Nursing, Chungwoon University, Hongseong 32244, Korea
3
Department of Preventative Medicine, School of Medicine, Konkuk University, Seoul 05029, Korea
*
Author to whom correspondence should be addressed.
Int. J. Environ. Res. Public Health 2022, 19(6), 3429; https://doi.org/10.3390/ijerph19063429
Submission received: 15 January 2022 / Revised: 28 February 2022 / Accepted: 11 March 2022 / Published: 14 March 2022
(This article belongs to the Special Issue Public Health and Risk Factors across the Lifespan)
Review Reports Versions Notes

Abstract

:
With the rapidly aging population, taxi drivers are aging at a fast pace, and competition in the taxi industry is intensifying due to the emergence of various transportation platforms. A descriptive secondary data study was conducted (on a total of 936 subjects) to determine the factors affecting the deterioration of taxi drivers’ physical health status (PHS) according to their age group. The increased incidence of chronic diseases and cognitive decline among taxi drivers aged 55–64 years had the greatest influence on the deterioration of their PHS. Driver obesity was more likely to be related to deterioration of the PHS in the drivers aged 55–64 years (OR: 2.459, <0.001) and 35–54 years (OR: 2.133, <0.001). Among the financial factors, a driver’s income and their number of dependent family members were correlated with the deterioration of the PHS for drivers aged 55 years or over. Therefore, chronic diseases, obesity and cognitive decline were related with deterioration of the physical health status. This suggests that attention should be paid to healthcare policies not only for the elderly aged over 65 years but also those aged 50 to 64 years, i.e., middle-aged people at the beginning of the transition to old age.

1. Introduction

Taxis are one of the main means of public transportation and guarantee people’s safety in transit. Traffic accidents caused by taxis can lead to a huge loss of human and material resources at the national level [1,2]. It has been reported that 31.3% of taxi drivers in Korea are over 65 years old [3]. The proportion of elderly drivers increased seven-fold from 3.2% in 2006 to 22% in 2016, with taxis representing the highest proportion of elderly drivers among commercial vehicles [3]. More than 90% of taxi drivers in Korea are middle-aged and elderly, and inevitably, age-related factors often worsen their health status.
In the work environment, employees’ ages have been reported to be related to their wages, job characteristics and the occurrence of accidents [4,5]. The Ministry of Employment and Labor defines workers 55 years of age or older as elderly workers [6]. In the US, the relationship between people’s physical health status and age, in people over 55 years of age, represents a current area of research interest [7]. Yet, does their physical health status have a great impact on older people?
Age is reported to be a factor that affects not only the health status but also the overall quality of life [8,9]. Since middle age is considered the time when the risk of chronic diseases and cardiovascular disease (CVD) begins to increase [10,11], the risk factors for these must be appropriately managed. The middle-aged and elderly can be characterized as follows. Middle age is generally considered to begin between the ages of 35 and 45 and end by the age of 65 [12,13]. The age group from 65 to 100 years old is defined as old age [14].
First, let us look at their physical characteristics. Through examining the occurrence of CVD at regular checkups for 8491 patients aged 30–74 years, the CVD risk was identified to more than double from the age of 35 [10]. It was also reported that the CVD risk is particularly high in middle-aged people at 40–59 years [11]. Due to sedentary behavior, taxi drivers have a high obesity rate [15], and they are reported as a representative CVD risk group [16,17].
The elderly experience a decrease in physical function and musculoskeletal changes due to aging [18]. Taxi drivers have more knee pain [19] and back pain [20] compared to the general population, and it is reported that there are many health risk factors because they have limited physical activity [21]. Taxi drivers are one of the sedentary jobs that causes fatigue from long hours of work, and these factors exacerbate health problems [15,16,17,22].
In a self-reported study on their perceived health status, middle-aged people responded that their perceived physical health was good [23], while the elderly responded that their physical health was bad [24]. Voluntarily practicing health management behavior was found to have a positive effect on the individual’s perception of their subjective physical health status.
As for socioeconomic characteristics, middle-aged people have reasonable finances due to their careers and positions; however, their expenditures may exceed their income due to parental support, children’s education and marriage [25]. The elderly have a low income level, and their financial preparation for living comfortably in their old age has often been insufficient by the time they finish working [26]. Along with the aging of taxi drivers [27], intensifying competition in the taxi industry, an unstable economic situation and increasing durations and intensities of taxi work [28,29,30] are also leading to various health problems and accidents [31].
Aging is a natural, lifelong process that comes to everyone; however, not everyone goes through the same process [32]. Aging is shaped by the social and physical environment we have lived in throughout our lives and the relationships we have formed, and it takes various paths depending on factors including a person’s family, gender and ethnicity [33]. Although a decline in physical function and cognitive impairment due to aging are unavoidable [34], efforts can be made to minimize the negative impacts through lifestyle changes, social support and health policy application.
Previous studies have sought to determine whether the health status of taxi drivers was associated with the occurrence of traffic accidents or dangerous driving behaviors [27,35]. In these studies, the health status of taxi drivers was mainly based on environmental and occupational factors [22,36,37], and participants’ age was considered a risk factor for accidents [37].
In this study, we were more interested in taxi drivers’ self-perceived physical health status, and we sought to investigate the relationships of various factors including physical conditions, such as chronic disease and BMI [22,36], which have been evaluated in previous studies.
For health equity, policies that emphasize universality should be considered first; however, given that the age of most taxi workers in South Korea is middle-aged or older, health-management policies for this workforce should also meaningfully ensure public safety. Therefore, this study aimed to investigate middle-aged and elderly drivers to determine the factors that influence the deterioration of their PHS and, accordingly, present foundational data to support the introduction of appropriate health-management policies.

2. Materials and Methods

2.1. Study Design and Subjects

A descriptive secondary data study investigated 965 subjects in South Korea (male = 960; female = 5). We used convenience sampling for drivers working for corporate or private taxi firms in Seoul. The total number of corporate and private taxi drivers in Seoul is estimated to be around 50,000. To estimate the number of participants required to achieve statistical significance in the study, G*power 3.1.9.4 was used [38].
Statistical power analysis was performed using the following: logistic regression with an alpha of 0.05, two-tailed test of significance, 95% power (1−β) and an odds ratio (OR) of 1.35. Through G*power analysis, the minimum sample size was determined to be 910. Thus, the sample of 965 taxi drivers in this study was sufficient to identify significant differences. The inclusion and exclusion criteria as follows:
Inclusion criteria: Taxi drivers aged over 30 years who had taxi driver’s licenses, actively transported passengers and could read, understand and voluntarily participate in the study.
Exclusion criteria: Taxi drivers diagnosed with dementia or on medication that affected their mental state, as well as retired or hospitalized taxi drivers.

2.2. Measurements

Based on previous research on taxi drivers, survey questions were developed by a total of seven people, including five Ph.Ds. majored in preventive medicine, neuroscience, psychiatric nursing, psychology and public administration. To evaluate the validity of the developed survey questions, a preliminary survey was conducted with two taxi drivers, one private and one corporate.

Variables

This study used physical (perceived health status, chronic disease and Body Mass Index (BMI)), cognitive and financial characteristics that are consistent with the purpose of this study.
We collected data on physical characteristics, such as determining the drivers’ perceived health status (very good, good, usually, bad and very bad), whether they had felt sick or uncomfortable due to acute or chronic disease, an accident or poisoning in the past two weeks and if they had, then the number of days they had felt that way.
Furthermore, we asked whether they had a disease that was diagnosed by a doctor and required regular visits to a medical institution and/or was being treated, which affected their heart/circulatory system (hypertension, angina/myocardial infarction or heart failure); endocrine system (diabetes mellitus (insulin), diabetes mellitus (oral hypoglycemic agents) or thyroid disease); respiratory system (chronic obstructive pulmonary disease, asthma or sleep apnea); urinary system (renal failure with dialysis); nervous system (memory impairment, sleep disorder, stroke, peripheral neuropathy or Parkinson’s disease); mental health (depression or panic disorder); eyesight (renal disease, cataracts, glaucoma or color blindness); hearing (impairment/loss); or musculoskeletal system (arthritis or disc). The BMI, a simple index of overweight/obesity was calculated by dividing the weight (kg) by the squared value of the height (m). We classified a BMI of 23–24 kg/m2 as overweight and a BMI of 25 kg/m2 as obesity [39].
Second, we ascertained their level of cognitive decline compared to one year ago using the Korean dementia screening questionnaire-cognition (KDSQ-C) [40]. The items of this tool can be viewed as more general and universal questions when compared with the existing cognitive function evaluation items to evaluate dementia. This tool consists of a total of 15 items and divided into three subscales of five items each: items 1–5 are the global memory function domain, items 6–10 are other cognitive function and behavior domain, and items 11–15 are the activity of daily living domain (see Appendix A for items). Study subjects were asked to zero is not at all, one point is sometimes, and two points is often. The KDSQ is unaffected by age, gender or education.
Total scores range from 0 to 30, cognitive decline is evaluated by dividing 0–2 points, 3–7 points and 8 points or more. The sensitivity and specificity of this tool for the diagnosis of severe cognitive impairment are 79% and 80%, respectively [40]. The test-retest reliability of this tool is 0.80 [41] and the area under the ROC curve (AUC) for the KDSQ for diagnosing severe cognitive impairment is 0.75 [42].
Third, we investigated financial characteristics, such as the personal income (less than one million won, 100–150 million won, 150–200 million won, 200–250 million own, 250–300 million own and over 300 million won), income satisfaction (very sufficient, sufficient, usually, insufficient and very insufficient) and number of dependent family members (adult and under 18 years old).

2.3. Data Collection

After receiving approval from the Institutional Review Board/Ethics Committee of Konkuk University (IRB 7001355-202011-E-127), a survey was conducted of taxi drivers operating private or corporate taxis with the help of the Korea National Joint Conference of Taxi Associations and the Korea National Federation of Taxi Workers’ Unions. After approval was obtained from the representatives of taxi companies and taxi drivers’ unions, a questionnaire was provided to corporate and private taxi drivers through the taxi drivers’ union.
The subjects understood the purpose of the survey and voluntarily completed the survey in a self-report format. A total of 1000 questionnaires were delivered to taxi drivers, and 965 completed questionnaires were finally collected (the total response rate was 96.5%) through the taxi drivers’ union. Among them, the data for five female taxi driver respondents and 24 taxi drivers who did not provide basic information about their age were excluded. The original data collection was conducted from 22 August to 11 September 2018, and a total of 936 questionnaires were finally analyzed.

2.4. Data Analysis

The data were analyzed using the statistical program R (R Foundation for Statistical Computing, Vienna, Austria). Descriptive statistics on physical, financial and cognitive characteristics are displayed as the means and standard deviations or frequencies and percentages. The chi-squared test (x2) and ANOVA were used to compare the physical, financial and cognitive characteristics of taxi drivers of different age groups. In addition, multiple regression analysis was used as a factor influencing the deterioration of physical health status.
Before the analysis, as there were random missing values for each item, and multiple imputation was applied to correct the missing value by using existing data to generate several estimated values for those that are missing. In this way, it is possible to use the complete data without discarding those from respondents where there are missing values, and information on the certainty of the replacement values can be considered. After multiple imputation, multinomial regression analysis was performed (repeating the algorithm 20 times).

3. Results

3.1. General Characteristics According to Age Group of Taxi Drivers

Table 1 compares the general characteristics of the taxi drivers according to their age group. In terms of their physical characteristics, the number of chronic diseases was highest in the taxi driver group over 75 years of age, with 1.68 ± 1.9 (F = 14.82, p < 0.001). Considering particular conditions, hypertension (HTN) was highest in the 65–74-year-old taxi driver group (x2 = 38.59, p < 0.001) and diabetes mellitus (DM) was the highest in the taxi driver group over 75 years old (x2 = 18.90, p < 0.001). The number of dependent family members was highest, with 3.40 ± 1.2, in the group of taxi drivers aged 35–54 years and was the lowest, with 2.41 ± 1.3, in the group of taxi drivers over 75 years old (F = 77.31, p < 0.001).
The ratio of those with five or more dependent family members was 15.9% and was the highest among the taxi drivers aged 35–54 (x2 = 83.49, p < 0.001). A personal monthly income under KRW one million was seen most in the taxi drivers aged over 75 years, as is earned by 11.4% of that age group, while an income rate over KRW three million was highest in the taxi drivers who were 35–54 years of age, as earned by 7.5% of that age group (x2 = 47.37, p < 0.001).
In terms of income satisfaction, the group of taxi drivers over 75 years of age had the highest satisfaction, with 11.6% of them reporting that they were satisfied with their work, whereas the highest income dissatisfaction was among taxi drivers aged 35–54, with 73.9% reporting that they were dissatisfied with their work (x2 = 30.99, p < 0.001). Then, for cognitive characteristics, the group with the highest rate of cognitive decline was the group of taxi drivers aged over 75 years, with such a decline affecting 21.7% and 8.7% of the age group, respectively.

3.2. Factors Affecting Deterioration of Physical Health Status According to Age Group of Taxi Driver

Table 2 shows the factors affecting the deterioration of drivers’ physical health status according to their age group. First, we found that having many chronic diseases affected the deterioration of the physical health status, and, in particular, the OR of 55–64-year-old taxi drivers were 2.055 (95% CI, 1.912–2.207). In the case of BMI, being overweight was more likely to a deterioration of physical health status.
The OR of 55–64 age groups was 2.059 (95% CI, 1.397–3.035), and the OR of the 35–54 year was 1.789 (95% CI, 1.106–2.894), whereas in the groups of taxi drivers aged 65–74 (OR = 0.432, 95% CI, 0.333–0.560) and over 75 years of age (OR = 0.191, 95% CI 0.090–0.401). Obesity was more likely to the deterioration of physical health status in the groups aged 35–54 (OR = 2.133, 95% CI 1.381–3.291) and 55–64 (OR = 2.459, 95% CI 1.687–3.585).
A cognitive decline affected the deterioration of the physical health status of taxi drivers, and in particular, the group that saw the greatest deterioration for this reason was the 55–64-year-old taxi driver group. When the cognitive decline increased by one unit, it was less likely to increase 23.731 times (95% CI, 16.374–34.393).
When it came to financial factors, a personal monthly income of KRW 1–1.99 million more likely to the deterioration of physical health status in the groups of taxi drivers aged 35–54 (95% CI, 8,961,350.0–16,062,770.0) and 65–74 years old (95% CI, 180,899.6–267,780.9). Moreover, in the 35–54-year-old age groups (95% CI, 1,118,204.0–2,140,180.0) and 55–64-year-old age groups ((95% CI, 305,698.0–479,941.2), a personal monthly income of KRW 2–2.99 million more likely to the deterioration of physical health status.

4. Discussion

This study suggests that the factors affecting taxi drivers’ deterioration of physical health status differ by age group, and we intend to discuss the factors through this lens of age.
When we studied the BMI as a physical factor, being overweight or obesity was associated with a deterioration of physical health status in the age groups of 35–54 and 55–64, whereas in the groups of taxi drivers over 75 years of age, being overweight or obesity was related to an improvement of physical health status. Previous studies reported that taxi drivers have high rates of excess weight and obesity [43].
However, the effect of being overweight or obesity on the physical health status of taxi drivers, according to their age group, was different. In the case of the elderly who were aged 65 years or older, the BMI decreases with increasing age [44,45], and it has been reported that having an abnormal weight, such as being underweight or obesity, among the elderly, has an important effect on the deterioration of physical function [46,47].
Next, when we examined the patterns of coronary heart disease (CHD) among Japanese taxi drivers, the subjects of this study were male taxi drivers aged 45–60, with an average age of 54.1 years and an average BMI of 25.4 kg/m2 [12]. In a study that examined the occurrence of metabolic syndromes among taxi drivers, the proportion of taxi drivers aged 30–59 years was 89%, and among them, it was reported that the proportion of taxi drivers with a BMI of 25 kg/m2 or more reached 42% [48].
That is to say, in the middle-aged taxi driver group, it appear that a high BMI value increases the risk of CHD or metabolic syndrome. In addition, in this study, we noted that hypertension and diabetes mellitus were the most-represented chronic diseases among all age groups. Referring to the literature, an increase in BMI and chronic diseases, such as HTN and DM, are reported as factors that further increase the risk of CVD [17,43]. Middle age is considered the time when the risk of chronic diseases and cardiovascular disease (CVD) begins to increase [10,11].
Moreover, a report on men with hypertension in the United States found that the incidence rate of uncontrolled hypertension among men aged 20–44 was overwhelmingly higher than that of other age groups [49]. Therefore, we propose that the content and goal of an intervention program to improve drivers’ physical health status requires a differentiated approach based on various characteristics according to the age group of taxi drivers. That is, in the case of the middle-aged, a diet and exercise intervention strategy for active weight loss is needed, and in the case of the elderly, an intervention strategy for maintaining the proper weight and muscle mass, rather than weight loss, is needed.
This study found that cognitive decline was related to a deteriorating physical health status, especially in the 55–64-year-old taxi driver group. Existing studies report that cognitive impairment affects a taxi driver’s driving behavior, along with their physical functioning [22]. However, in this study, cognitive decline was found to directly affect drivers’ physical health status, which is different from the findings of other studies. Cognitive impairment tends to increase with age; however, the previous studies mainly targeted the elderly aged 65 or older [34,50].
For middle-aged people aged 55 years and older who are not currently elderly but are in the stage of transition to becoming elderly, cognitive impairments, such as dementia, are also important; however, it is necessary to pay more attention to mild cognitive impairments, which represent a potential risk to driving behavior. This is because a mild cognitive impairment can be difficult to detect, not only in the taxi driver himself but also for his family and colleagues, and the symptoms of a mild cognitive impairment can easily be hidden by the driver for various reasons, such as to continue to bring in an income.
Therefore, it is necessary to consider their age when evaluating a person’s regular cognitive function is necessary, and we propose that a long-term follow-up study on psychological evaluation according to the degree of cognitive impairment is necessary.
As a result of analyzing detailed items with an KDSQ score of 8 or higher, items with particularly high scores are thought to mean forgetfulness rather than dementia. Forgetfulness, which occurs when there are many things to remember in life, affects attention and concentration and is affected by fatigue [27]. The influence of psychological factors, such as depression and anxiety, on memory cannot be completely excluded.
In particular, taxi transportation is a service industry that deals with people of various age, occupations, genders and races, and it is difficult to completely rule out the influence of job stress as it is a high-stress job [22]. As this tool is a self-reporting questionnaire, it is necessary to use MMSE [51] or MOCA [3], which is an evaluation of cognitive function by trained researchers in order to diagnose dementia more objectively. We also suggest that expert evaluation, such as by a neurologist is needed to accurately diagnose dementia.
Lastly, as a result of this study, in the case of financial factors, it was found that having fewer dependent family members was associated with the deterioration of physical health status in all taxi drivers aged 55 or over. In the case of the personal monthly income, earning KRW 1–1.99 million in the group of taxi drivers 65–74 years of age was related to a deterioration of physical health status. Moreover, earning KRW 2–2.99 million in the taxi drivers who were 55–64 years of age was related to a deterioration of their physical health status.
Although financial factors have been reported as important in influencing the deterioration of physical health status in previous studies [22], this study specifically presented the ratio of monthly personal income to the number of dependent family members according to the age group of taxi drivers. According to data from Statistics Korea, as of the fourth quarter of 2019, the number of wage-earning jobholders aged 50–59 years increased by 420,000, while the number of wage-earning jobholders aged 60 years and over increased by 2.5 million [52].
In other words, the number of elderly people who are working has increased quantitatively, and the age of participation in work is also rising; however, it is implied that qualitatively, jobs for the elderly may be low-wage and long-hour jobs. It is thought that this increases the financial burden experienced by taxi drivers, leading to a decrease in the number of family members who can financially depend on them and, ultimately, affecting the deterioration of the physical health status of taxi drivers.
Beyond this, it is reported that various factors, such as genetic, physical and social environmental elements influence the health status of older people [53]. Therefore, we proposed that taking a person’s financial vulnerability for granted, without considering other factors, simply because of age, should be regarded as a form of discrimination [33].
Low-income groups report that their access to healthcare services in South Korea is limited due to financial factors [54]. Furthermore, it was reported that socioeconomic factors play a part not only in the progress of physical problems but also in traffic accidents caused by taxi drivers and their driving behaviors [22]. Therefore, in preparing policies to resolve income inequality, it is necessary to consider various factors, such as their income amount and dependent family members according to the age of taxi drivers.
It has also been suggested that it is necessary to make efforts to revise the taxi fare system that is in place [55] according to the current situation of the taxi industry. To solve the financial problems of the taxi industry caused by the emergence of a new mobility industry, it may also be necessary to introduce a contribution system, as is being implemented in the United States and Australia and use this contribution to support the taxi industry and build transportation infrastructure [56].
This study is meaningful as it investigated the factors affecting the deterioration of drivers’ physical health status according to the age groups of taxi drivers based on the results of a large-scale survey. Nevertheless, since the subjects of this study were taxi drivers over 30 years old working in Seoul, and the proportion of taxi drivers over 75 years old was relatively small, we must be careful about generalizing the research results. Furthermore, for personal income, an income range was used to reduce the burden on respondents when collecting data, and as a result of statistical analysis, the range of odds was relatively wide, and thus caution is needed in interpreting the results.
Yet, based on the findings of this study, we can make the following suggestions. Although the majority of taxi drivers are male and the proportion of female taxi drivers is relatively small, research must determine the factors affecting the physical health status of female taxi drivers. In addition, since the proportions of taxi drivers aged 35–54 and older than 75 years were relatively small in this study, it is necessary to expand the sample to identify the factors affecting the physical health status of taxi drivers of these ages.
Beyond this, the KDSQ, which evaluated cognitive decline in this study, was developed in Korea as a self-report tool for screening for possibility of dementia. However, to assess cognitive impairment, we deem data collection by physicians (or neurologists) and investigators trained to perform cognitive impairment assessments to be necessary.

5. Conclusions

In this study, we were interested in taxi drivers’ self-perceived physical health state, and we investigated various factors that affect this, including physical factors, such as chronic disease and BMI, as have been evaluated in previous studies.
Our research found that physical, cognitive and financial factors have various influences on the physical health of taxi drivers in all age groups. In particular, we should pay more attention to various influences on the physical health status of middle-aged people because they are at a pivotal point of health transition that should not be overlooked.
In the taxi industry, where the number of elderly drivers is rapidly increasing due to the aging population, the results of this study suggest a need for continued effort and policy change to improve the physical health of elderly taxi drivers aged over 65. However, the results of this study also suggest that it is necessary to pay attention to healthcare policies for middle-aged people aged 55 and over, as this is the time when the transition to old age begins.
Considering the detailed information that we presented in this article on the factors that affect the deterioration of physical health status according to the age group of taxi drivers, we assert that taxi drivers, who command one of the primary means of public transportation, would benefit from improved policies, such as ones to ensure that their healthcare is equitable, which would support the safety of the public whom they transport every day in South Korea.

Author Contributions

Conceptualization, K.K., J.O. and H.K.; methodology, H.K.; software, J.O.; validation, K.K.; formal analysis, K.K. and J.O.; investigation, H.K.; resources, H.K.; data curation, J.O.; writing—original draft preparation, J.O.; writing—review and editing, J.O. and K.K.; visualization, J.O. and K.K.; supervision, H.K. All authors have read and agreed to the published version of the manuscript.

Funding

This research received no external funding.

Institutional Review Board Statement

The study was conducted in accordance with the Declaration of Helsinki and approved by the Institutional Review Board (or Ethics Committee) of Konkuk University (IRB 7001355-202011-E-127).

Informed Consent Statement

Informed consent was obtained from all subjects involved in the study.

Data Availability Statement

Not applicable.

Acknowledgments

The survey on corporate and private taxi drivers working in Seoul was conducted with the support of the Korean Transportation Safety Authority, Korean National Joint Conference of Taxi Associations, Korea National Federation of Private Taxi Transportation Associations, Korea National Federation of Taxi Workers’ Unions and Korea National Federation of Democratic Taxi Workers’ Unions.

Conflicts of Interest

The authors declare no conflict of interest.

Appendix A

Table
Table A1. Korean dementia screening questionnaire-C.
Table A1. Korean dementia screening questionnaire-C.
Items 35–54 Years55–64 Years65–74 Years≥75 Years
35–3940–4445–4950–54
Global memory function
1.
Does not know the date or day
often0101430
sometimes05417496110
Not at all616275730232936
2.
Cannot find things he or she previously put down
often0001681
sometimes010721848615
Not at all612245326529730
3.
Keeps repeating the same questions
often00014122
sometimes02614536311
Not at all620255929831833
4.
Forgets appointments
often01215133
sometimes0551774749
Not at all616245627230434
5.
Comes back without things he or she had intended to pick up
often02138122
sometimes171225757813
Not at all513184627029831
Other cognitive function and behavior
6.
Mumbles because names of people or things slip their mind
often00139161
sometimes04613749414
Not at all618245726928030
7.
Keeps asking questions because he/she does not get the point
often00038201
sometimes06513657318
Not at all616265828029827
8.
Gets lost or goes astray
often0001241
sometimes1361132427
Not at all519256231934538
9.
Has difficulty with financial affairs (e.g., paying bills or calculating change)
often01119121
sometimes03419536311
Not at all618265529131734
10.
His/her personality has changed
often012119183
sometimes187271018811
Not at all513224723428231
Activity of daily living
11.
Difficulty operating appliances (e.g., washing machine, electric cooker or cultivator)
often0102581
sometimes034849488
Not at all617266529833536
12.
Cannot keep room or house clean
often012312111
sometimes045939498
Not at all617246330333237
13.
Does not wear outfits that fit the time, place or occasion
often0022492
sometimes132531375
Not at all519276831934639
14.
Finds it hard to go somewhere on his/her own using public transportation (except in the case of physical disability, such as arthritis)
often0221682
sometimes004526392
Not at all620256832234542
15.
Refuses to change dirty underwear or clothes
often0021441
sometimes032936364
Not at all619276431235041

References

  1. Jeon, B.J.; Lee, S.J. Mediation effects of post-traumatic growth on the relation between traffic accident trauma and safety consciousness of aged taxi drivers. J. Wellness 2018, 13, 467–478. [Google Scholar] [CrossRef]
  2. Korea Insurance Development Institute. Insurance Statistics: Car Insurance: Damage Situation. 2021. Available online: https://incos.kidi.or.kr:5443/insCar/selStattbleDetail.do# (accessed on 3 February 2020).
  3. Lim, S.; Seong, N.; Kang, S.; Hong, S. Analysis and Measures on Aging of Taxi Drivers; Frequent Research Report; Korea Transportation Research Institute: Seoul, Korea, 2017; pp. 1–133. [Google Scholar]
  4. Lee, Y.W. The effects of age and occupational education on wages in the industry. J. Vocat. Educ. Res. 2019, 38, 127–149. [Google Scholar] [CrossRef]
  5. Kwon, M.H.; Lee, J.S. The effect of job characteristics and health on accident experience according to age of transportation workers. Kor. J. Contents Assoc. 2019, 19, 350–362. [Google Scholar] [CrossRef]
  6. Statistics Korea. E-Country Indicator: Elderly Employment Trend. 2021. Available online: http://www.index.go.kr/potal/main/EachDtlPageDetail.do?idx_cd=1496&param=002 (accessed on 20 January 2020).
  7. Centers for Disease Control and Prevention. Percent for US Adults 55 and over with Chronic Condition. 2019. Available online: https://www.cdc.gov/nchs/health_policy/chronic_conditions.htm (accessed on 5 January 2022).
  8. Chun, H.; Kim, I.H. Hypertension awareness and the related factors by age. Korea J. Health Educ. Promot. 2016, 33, 37–46. [Google Scholar] [CrossRef]
  9. Hwang, S. Health-related quality of life according to oral health behavior in adults. J. Dent. Hyg. Sci. 2019, 2, 21–30. [Google Scholar]
  10. Agostino Sr, R.B.D.; Vasan, R.S.; Pencina, M.J.; Wolf, P.A.; Cobain, M.; Massaro, J.M.; Kannel, W.B. General cardiovascular risk profile for use in primary care: The framingham heart study. Circulation 2008, 117, 743–753. [Google Scholar] [CrossRef] [Green Version]
  11. Lloyd-Jones, D.M.; Dyer, A.R.; Wang, R.; Daviglus, M.L.; Greenland, P. Risk factor burden in middle age and lifetime risks for cardiovascular and non-cardiovascular death (Chicago Heart Association Detection Project in Industry). Am. J. Cardiol. 2007, 99, 535–540. [Google Scholar] [CrossRef] [Green Version]
  12. Barclay, S.R.; Stoltz, K.B.; Chung, Y.B. Voluntary Midlife career change: Integrating the transtheoretical model and the life-span, life-space approach. Career Dev. Q. 2011, 59, 386–399. [Google Scholar] [CrossRef]
  13. Kertzner, R.M. The adult life course and homosexual identity in midlife gay men. Annu. Rev. Sex Res. 2001, 12, 75–92. [Google Scholar]
  14. Altman, S.S.; Werner, P. Subjective age and its correlates among middle-aged and older adults. Int. J. Aging Hum. Dev. 2019, 88, 3–21. [Google Scholar] [CrossRef]
  15. Ramukumba, T.S.; Mathikhi, M.S. Health assessment of taxi drivers in the city of tshwane. Curationis 2016, 39, 1–7. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  16. Martin, W.; Sharif, F.; Flaherty, G. Lifestyle risk factors for cardiovascular disease and diabetic risk in a sedentary occupational group: The galway taxi driver study. Ir. J. Med. Sci. 2016, 185, 403–412. [Google Scholar] [CrossRef] [PubMed]
  17. Elshatarat, R.A.; Burgel, B.J. Cardiovascular risk factors of taxi drivers. J. Urban Health 2016, 93, 589–606. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  18. Kim, M.; Kown, H. Elderly population and basic health status in rural areas. Korean J. Res. Geront. 2006, 15, 171–186. [Google Scholar]
  19. Chen, J.C.; Dennerlein, J.T.; Shih, T.S.; Chen, C.J.; Cheng, Y.; Chang, W.P.; Ryan, L.M.; Christiani, D.C. Knee pain and driving duration: A secondary analysis of the taxi drivers health study. Am. J. Public Health 2004, 94, 575–581. [Google Scholar] [CrossRef]
  20. Chen, J.C.; Chang, W.R.; Chang, W.; Christiani, D. Occupational factors associated with low back pain in urban taxi drivers. J. Occup. Med. 2005, 55, 535–540. [Google Scholar] [CrossRef] [Green Version]
  21. Onayemi, F.A.; Baldyga, W.; Amuwo, S.; Adefuye, A.; Mason, T.; Mitchell, R.; Blumenthal, D.S. Driving to better health: Cancer and cardiovascular risk assessment among taxi cab operators in Chicago. J. Health Care Poor Underserved 2012, 23, 768–780. [Google Scholar] [CrossRef]
  22. Murray, K.E.; Buul, A.; Aden, R.; Cavanaugh, A.M.; Kidane, L.; Hussein, M.; Eastman, A.; Checkoway, H. Occupational health risks and intervention strategies for US taxi drivers. Health Promot. Int. 2019, 34, 323–332. [Google Scholar] [CrossRef]
  23. Shin, G.S.; Cho, S.S. Effects of the occupation and activity nature of the middle-aged on retirement preparation. Kor. J. Contnet Assoc. 2011, 11, 296–312. [Google Scholar] [CrossRef] [Green Version]
  24. Millán-Calenti, J.C.; Sánchez, A.; Lorenzo, T.; Maseda, A. Depressive symptoms and other factors associated with poor self-rated health in the elderly: Gender differences. Geriatr. Gerontol. Int. 2012, 12, 198–206. [Google Scholar] [CrossRef] [Green Version]
  25. Kim, N.S. Studies in the Middle-Aged Workers Recognition of Their Retirement Plans: Relation between Personal, Socioeconomic Factors, and the Government Policy. Ph.D. Thesis, University of Kyungwon, Gyeonggi, Korea, 2009. [Google Scholar]
  26. Yang, S.A. A study on the relationship among physical function, quality of sleep and quality of life for the elderly in a community. J. Digit. Converg. 2013, 11, 335–345. [Google Scholar] [CrossRef]
  27. Lim, S.M.; Chia, S.E. The prevalence of fatigue and associated health and safety risk factors among taxi drivers in Singapore. Singap. Med. J. 2015, 56, 92–97. [Google Scholar] [CrossRef] [Green Version]
  28. Kim, B.O. A study on uber taxi and the fit of it. Chonbuk Law Rev. 2015, 46, 99–134. [Google Scholar]
  29. Choi, B.A. Study on car-sharing and onerous transport or not. Ilk. Law Rev. 2017, 38, 429–454. [Google Scholar] [CrossRef]
  30. Park, J.H. The impact of the mobile application on off-line market: Case in call taxi and kakao taxi. Inf. Syst. Rev. 2016, 18, 141–154. [Google Scholar]
  31. Tefft, B.C. Prevalence of motor vehicle crashes involving drowsy drivers, United States, 2009–2013. Accid Anal. Prev. 2014, 45, 180–186. [Google Scholar] [CrossRef] [PubMed]
  32. World Health Organization. Global Report on Ageism. 2021. Available online: https://www.who.int/teams/social-determinants-of-health/demographic-change-and-healthy-ageing/combatting-ageism/global-report-on-ageism (accessed on 5 February 2022).
  33. World Health Organization. World Report on Ageing and Health. 2015. Available online: https://apps.who.int/iris/handle/10665/186463 (accessed on 5 February 2022).
  34. Oh, J.S.; Ryu, J.B.; Lee, W.Y. Major factors affecting driving and psychosocial characteristics of elderly drivers. Traffic Res. 2016, 23, 35–48. [Google Scholar] [CrossRef]
  35. Mirpuri, S.; Ocampo, A.; Narang, B.; Roberts, N.; Gany, F. Discrimination as a social determinant of stress and health among New York City taxi drivers. J. Health Psychol. 2020, 25, 1384–1395. [Google Scholar] [CrossRef]
  36. Wang, P.C.; Delp, L. Health status, job stress and work-related injury among Los Angeles taxi drivers. Work 2014, 49, 705–712. [Google Scholar] [CrossRef]
  37. Chan, M.L.; Gustafsson, L.; Liddle, J. Survey of health and licensing policies for taxi drivers in Singapore, Hong Kong and Australia: A perspective from evidence on older drivers. Singap. Med. J. 2010, 51, 913–922. [Google Scholar]
  38. Faul, F.; Erdfelder, E.; Lang, A.-G.; Buchner, A. G* Power 3: A flexible statistical power analysis program for the social, behavioral, and biomedical sciences. Behav. Res. Methods 2007, 39, 175–191. [Google Scholar] [CrossRef] [PubMed]
  39. World Health Organization. The Asia-Pacific Perspective: Redefining Obesity and Its Treatment. 2000. Available online: https://apps.who.int/iris/bitstream/handle/10665/206936/0957708211_eng.pdf (accessed on 25 February 2022).
  40. Yang, D.W.; Chey, J.Y.; Kim, S.Y.; Kim, B.S. The development and validation of Korean dementia screening questionnaire (KDSQ). J. Korean Neurol. Assoc. 2002, 20, 135–141. [Google Scholar]
  41. Kim, A.; Kim, S.; Park, K.W.; Park, K.H.; Youn, Y.C.; Lee, D.W.; Lee, J.Y.; Lee, J.H.; Jeong, J.H.; Choi, S.H.; et al. A comparative evaluation of the KDSQ-C, AD8, and SMCQ as a cognitive screening test to be used in national medical check-ups in Korea. J Korean Med. Sci. 2019, 34, e111–e122. [Google Scholar] [CrossRef] [PubMed]
  42. Kim, A.; Kim, S.Y.; Park, K.W.; Park, K.H.; Youn, Y.C.; Lee, D.W.; Lee, J.Y.; Lee, J.H.; Jeong, J.H.; Choi, S.H.; et al. Reliability and validity of a short form of the korean dementia screening questionnaire-cognition. J. Clin. Neurol. 2020, 16, 145–153. [Google Scholar] [CrossRef] [PubMed]
  43. Kanna, B.; Ukudeyeva, A.; Faiz, M.; Roques, E.; Washington, T.; Ramirez, L.; Shariffet, M.A.; Espejo, M. Qualitative study of knowledge, perception, behavior and barriers associated with cardiovascular disease risk among overweight and obese Hispanic taxi drivers of South Bronx, NYC. BMC Public Health 2020, 20, 1–10. [Google Scholar] [CrossRef] [PubMed]
  44. Chae, K.H.; Won, C.W.; Choi, H.; Kim, B.S. Obesity indices and obesity-related quality of life in adults 65 years and older. Korean J. Fam. Med. 2010, 31, 540–546. [Google Scholar] [CrossRef]
  45. Yeom, J.; Kim, J.K.; Crimmins, E.M. Factors associated with body mass index (BMI) among older adults: A comparison study of the U.S., Japan, and Korea. Korean J. Gerontol. Soc. 2009, 29, 1477–1500. [Google Scholar]
  46. Hyun, H.S.; Lee, I.S. Body mass index (BMI)-related factors of community-dwelling elders: Comparison between early and late elderly people. J. Korean Acad. Community Health Nurs. 2013, 24, 62–73. [Google Scholar] [CrossRef]
  47. Yan, L.L.; Daviglus, M.L.; Liu, K.; Pirzada, A.; Garside, D.B.; Schiffer, L.; Dyer, A.R.; Greenland, P. BMI and health-related quality of life in adults 65 years and older. Obes. Res. 2004, 12, 69–76. [Google Scholar] [CrossRef] [Green Version]
  48. Appiah, C.A.; Afriyie, E.O.; Hayford, F.E.A.; Frimpong, E. Prevalence and lifestyle-associated risk factors of metabolic syndrome among commercial motor vehicle drivers in a metropolitan city in Ghana. Pan. Afr. Med. J. 2020, 36, 1–16. [Google Scholar] [CrossRef]
  49. Centers for Disease Control and Prevention. Health, United States 2018 Chartbook. 2018. Available online: https://www.cdc.gov/nchs/data/hus/hus18.pdf (accessed on 4 February 2022).
  50. Shin, S.; Sang, C. A study on traffic accident prevention through older driver’s characteristics analysis. J. Korean Public Police Secur. Stud. 2010, 7, 157–185. [Google Scholar] [CrossRef]
  51. La, Q.N.; Lee, A.H.; Meuleners, L.B.; Duong, D.V. Prevalence and factors associated with road traffic crash among taxi drivers in Hanoi, Vietnam. Accid. Anal. Prev. 2013, 50, 451–455. [Google Scholar] [CrossRef] [PubMed]
  52. Statistics Korea. Labor: Wage and Employment Trends Administrative Statistics. 2020. Available online: https://kosis.kr/statisticsList/statisticsListIndex.do?menuId=M_01_01&vwcd=MT_ZTITLE&parmTabId=M_01_01&outLink=Y&entrType=#content-group (accessed on 25 January 2021).
  53. World Health Organization. Ageing and Health. 2021. Available online: https://www.who.int/news-room/fact-sheets/detail/ageing-and-health (accessed on 4 February 2022).
  54. Oh, Y.H. Problem with and policy agenda for public health services in Korea. Health Welf. Policy Forum 2013, 23, 62–82. [Google Scholar]
  55. Ahn, K.; Shin, S.; Kang, J. A Study on Establishment and Implementation of Masterplan for Quantity Regulation on Taxi Industry in Seoul; Seoul Development Institute: Seoul, Korea, 2010; pp. 1–135. [Google Scholar]
  56. Ahn, H. Contribution? Total Amount? Is Platform Taxi Realistic? It Chosun. 2020. Available online: http://it.chosun.com/site/data/html_dir/2020/03/10/2020031003358.html (accessed on 3 February 2021).
Table
Table 1. General characteristics of taxi drivers. n = 936.
Table 1. General characteristics of taxi drivers. n = 936.
Item35–54 Years55–64 Years65–74 Years≥75 YearsF or x2p
M ± SD or N (%)M ± SD or N (%)M ± SD or N (%)M ± SD or N (%)
No. of subjects135 (14.4)306 (38.5)395 (42.2)46 (4.9)
PhysicalPHS
Good60 (45.1)168 (46.8)172 (43.9)15 (32.6)9.860.131
Usual51 (38.4)156 (43.4)160 (40.8)22 (47.8)
Bad22 (16.5)35 (9.8)60 (15.3)9 (19.6)
Had PHD25 (19.1)42 (12.3)54 (14.3)6 (13.6)3.570.312
Duration of PHD (days)0.84 ± 2.30.58 ± 2.00.63 ± 1.90.33 ± 1.11.210.272
BMI (kg/m2)25.0 ± 2.824.9 ± 2.824.7 ± 2.725.3 ± 3.80.350.552
<2328 (24.56)82 (23.98)93 (25.90)7 (18.92)5.230.515
23–2433 (28.95)91 (26.61)114 (31.76)14 (38.84)
≥2553 (46.49)169 (49.41)152 (42.34)16 (23.24)
No. of chronic diseases0.95 ± 1.70.90 ± 1.41.30 ± 1.61.68 ± 1.914.82<0.001
Types of chronic disease
HTN24 (18.5)110 (31.2)178 (45.8)20 (45.5)38.59<0.001
DM18 (13.9)57 (16.2)100 (25.7)15 (34.1)18.90<0.001
COPD/asthma8 (6.2)14 (4.0)20 (5.1)3 (6.8)1.490.684
Sleep disorder10 (7.7)20 (5.7)22 (5.7)1 (2.3)1.880.597
Depression/anxiety7 (5.4)9 (2.6)12 (3.1)1 (2.3)2.650.449
Hearing loss6 (4.6)11 (3.1)25 (6.4)6 (13.6)10.660.014
Arthritis17 (13.1)31 (8.8)41 (10.5)7 (15.9)3.400.334
Slipped disc13 (10.0)31 (8.8)45 (11.6)9 (20.5)6.120.106
FinancesNo. of DFMs3.40 ± 1.22.94 ± 1.22.44 ± 0.92.41 ± 1.377.31<0.001
1–232 (28.3)134 (43.0)234 (67.1)30 (80.1)83.49<0.001
3–463 (55.8)153 (49.0)104 (29.8)4 (10.8)
≥518 (15.9)25 (8.0)11 (3.1)3 (8.1)
Personal income (10,000 won/month)
<1005 (3.8)11 (3.1)23 (5.9)5 (11.4)47.37<0.001
100–19969 (51.9)209 (58.7)279 (71.7)33 (75.0)
200–29949 (36.8)121 (34.0)80 (20.6)6 (13.6)
≥30010 (7.5)15 (4.2)7 (1.8)0 (0.0)
Satisfaction with income
Enough1 (0.7)11 (3.1)15 (3.9)5 (11.6)30.99<0.001
Average34 (25.4)110 (30.8)159 (41.0)19 (44.2)
Not enough99 (73.9)236 (66.1)214 (55.1)19 (44.2)
CognitionCognitive decline (score)3.49 ± 4.92.98 ± 4.73.18 ± 5.14.15 ± 5.60.130.716
KDSQ 0–2106 (79.1)288 (81.4)317 (80.7)32 (69.6)6.450.375
KDSQ 3–717 (12.7)45 (12.7)43 (10.9)10 (21.7)
KDSQ ≥ 811 (8.2)21 (5.9)33 (8.4)4 (8.7)
No. = number of; PHS = physical health status; PHD = physical health discomfort in last two weeks; BMI = body mass index; HTN = hypertension; DM = diabetes mellitus; COPD = chronic obstructive pulmonary disease; DFM = dependent family members, either adults or underage; and KDSQ (Korean dementia screening questionnaire).
Table
Table 2. Factors affecting deterioration of physical health status according to age group of taxi drivers.
Table 2. Factors affecting deterioration of physical health status according to age group of taxi drivers.
ItemsOddsCIpOddsCIpOddsCIpOddsCIp
35–54 Years55–64 Years65–74 Years≥75 Years
No. of chronic diseases1.5511.412–1.705<0.0012.0551.912–2.207<0.0011.6101.525–1.700<0.0011.5501.292–1.859<0.001
BMI (Reference: <23)
Overweight (23–24)1.7891.106–2.8940.0182.0591.397–3.035<0.0010.4320.333–0.560<0.0010.1910.090–0.401<0.001
Obesity (≥25)2.1331.381–3.291<0.0012.4591.687–3.585<0.0011.0950.891–1.3460.3870.4410.227–0.8550.015
Duration of PHD1.5441.395–1.710<0.0011.0460.985–1.1120.1410.9460.901–0.9930.0250.9580.559–1.5420.774
No. of DFMs1.0800.929–1.2550.3190.8690.764–0.9880.0330.8030.729–0.885<0.0010.9010.729–1.1150.337
Personal income (10,000/month) (Reference: <100)
100–19911,997,670.08,961,350.0–16,062,770.0<0.001216,386.7169,116.3–276,870.0<0.001220,094.2180,899.6–267,780.9<0.00198.64258.694–165.779<0.001
200–2991,546,984.01,118,204.0–2,140,180.0<0.001383,036.6305,698.0–479,941.2<0.001222,143.7191,513.5–257,672.8<0.00136.62526.509–50.601<0.001
Income dissatisfaction (Reference: Enough)
Not enough0.8140.536–1.2360.3340.4790.348–0.659<0.0010.8650.712–1.0500.1430.9200.498–1.6970.789
Cognitive decline (Reference: KDSQ 0–2 score)
KDSQ 3–7 score1.5300.942–2.4860.08610.8368.088–14.518<0.0015.0484.086–6.237<0.0012.9621.586–5.533<0.001
KDSQ ≥8 score13.8267.967–23.993<0.00123.73116.374–34.393<0.0013.3432.544–4.394<0.0014.8451.846–12.7140.001
BMI = body mass index; PHD = physical health discomfort within two weeks; No. = number of; DFM = dependent family members; KDSQ (Korean dementia screening questionnaire).
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Ok, J.; Kang, K.; Kim, H. Factors Affecting the Deterioration of the Physical Health Status of Taxi Drivers by Age Group. Int. J. Environ. Res. Public Health 2022, 19, 3429. https://doi.org/10.3390/ijerph19063429

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Ok J, Kang K, Kim H. Factors Affecting the Deterioration of the Physical Health Status of Taxi Drivers by Age Group. International Journal of Environmental Research and Public Health. 2022; 19(6):3429. https://doi.org/10.3390/ijerph19063429

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Ok, Jongsun, Kyonghwa Kang, and Hyeongsu Kim. 2022. "Factors Affecting the Deterioration of the Physical Health Status of Taxi Drivers by Age Group" International Journal of Environmental Research and Public Health 19, no. 6: 3429. https://doi.org/10.3390/ijerph19063429

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