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Original Article
 The effects of mental health on recurrent falls among elderly adults, based on Korean Community Health Survey data
Kyung Hee Jo1orcid, Jong Park2orcid, So Yeon Ryu2orcid
Epidemiol Health 2020;42:e2020005.
DOI: https://doi.org/10.4178/epih.e2020005
Published online: February 2, 2020

1Department of Public Health, Graduate School of Chosun University, Gwangju, Korea

2Department of Preventive Medicine, Chosun University Medical School, Gwangju, Korea

Correspondence: Jong Park  Department of Preventive Medicine, Chosun University Medical School, 309 Pilmun-daero, Dong-gu, Gwangju 61452, Korea  E-mail: jpark@chosun.ac.kr
• Received: November 7, 2019   • Accepted: February 2, 2020

©2020, Korean Society of Epidemiology

This is an open-access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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  • OBJECTIVES
    This study aimed to identify the effect of mental health on frequency of falls (single and recurrent falls) among elderly adults.
  • METHODS
    Data were drawn from the 2015 Korean Community Health Survey. A chi-square test was conducted to compare differences in fall frequency according to health-related behaviors, chronic diseases, and mental health. Subsequently, multinomial logistic regression analysis was used to identify the effects of mental health on single and recurrent falls based on variables found to be significant in the chi-square test.
  • RESULTS
    Recurrent falls were found to be more risky than single falls. Depression was significantly related to single falls (odds ratio [OR], 1.27; 95% confidence interval [CI], 1.12 to 1.44). Depression (OR, 1.56; 95% CI, 1.38 to 1.76), sleep disorder (5 hours or less: OR, 1.12; 95% CI, 1.02 to 1.23; more than 9 hours: OR, 1.24; 95% CI, 1.07 to 1.44, respectively), and subjective stress (OR, 2.30; 95% CI, 1.90 to 2.78) were significantly related to recurrent falls.
  • CONCLUSIONS
    The study’s findings suggest that specialized fall prevention programs are needed to address different types of falls in elderly adults. To prevent recurrent falls, systematic treatment strategies and rehabilitation training must improve physical function and mental health.
  • Keywords: Accidental falls, Mental health, Depression, Aged, Korea Community Health Survey
A fall refers to sustaining a physical injury from collapsing to the ground or tumbling down from a height, and can occur in people of all ages. In elderly adults, falling is the second most common cause of accidental death, following traffic accidents [1]. Approximately 30% of people aged 65 or over experience a fall, and 50% of those experience recurrent falls, making the factor a considerable threat to health in elderly populations [2].
In Korea, approximately 7.38 million people were 65 or older in 2018, constituting 14.3% of the country’s total population. Countries with an elderly population of 7% or more are generally classified as “aging societies”; countries like Korea, with an elderly population of 14% or more, are classified as “aged societies.” Furthermore, because Korea’s elderly population rate is continuing to increase, falls are a serious health issue [3].
Because bone density and muscle mass decrease with aging, elderly people’s bones can fracture with even a small shock. In the event of a fall, physical injuries are more likely to occur, including fractures, bruises, hematoma, edema, and other complications [4]. Mortality due to falls has steadily increased in those over 65, from 18.6 deaths per 100,000 population in 2015 to 20.3 in 2016 to 21.1 in 2017 [5]. The number of patients admitted to the hospital due to falls rose by 32% to approximately 124,000 between 2011 and 2015, with corresponding increases in socioeconomic costs [7]. Additionally, economic burdens are heightened when falls result in complications, which prolongs treatment and the related expenditures [6].
Major risk factors for falls, which interact in a complex fashion, include old age, female gender, living alone, drinking, chronic illness, previous experience of falls, low quality of life, depression, and dangerous environmental factors [8,9]. Recently, mental health has also been identified as a major risk factor. The risks of both falls in general and recurrent falls were particularly high in elderly adults with severe depression [10]. Depression in elderly adults decreases cognitive functioning and affects physical functioning, increasing the risk of falls [11,12].
Preventing single falls is difficult because they usually occur suddenly and by accident [13]. However, recurrent falls are common in older, feeble adults with numerous health complications or mental or physical problems [13]. Once elderly individuals experience one fall, anxiety and fear of falling again drives them to limit everyday activities, which reduces motor functioning and consequently increases their risk of a recurrent fall [14]. Because the mechanisms for single and recurrent falls are different, it is crucial to differentiate fall cases according to frequency and compare them accordingly [14].
Many studies have examined factors influencing falls in elderly adults. Most studies conducted in Korea have identified risk factors using a fall risk assessment model in small study samples [15-17], and studies on the relationship of mental health to falls have examined only the effect of depression [18,19]. Thus, the effects of mental health on falls have not been sufficiently investigated. The present study aimed to differentiate and examine the characteristics of individuals who experienced single and recurrent (two or more) falls using community-based data, and thereby to explore the effects of mental health on single and recurrent falls.
Study materials and subjects
This study used raw data from the 2015 Korean Community Health Survey (KCHS) managed by the Korean Centers for Disease Control and Prevention. The KCHS survey population included adults aged 19 or older living in each of the country’s regions. After selecting sampling units using a probability proportional to size method, systematic sampling was used to select households from within each of the sampling units. Data from approximately 900 individuals were collected at 254 public health centers nationwide, and trained survey conductors visited subjects in the sampled households between August 31, 2015 and November 8, 2015. The survey included a total of 198 items across 19 domains and was administered via one-on-one interview using a laptop on which the survey program was installed [20].
Of the 228,558 total survey respondents in the 2015 KCHS, 63,929 were over age 65. The present study’s analysis included 63,899 respondents, excluding 30 due to incomplete responses to the items regarding experience of falls within the past year and number of accidental falls.
Study variables
To identify factors influencing falls in elderly adults over 65, this study examined socio-demographic factors, health behaviors, physical health-related variables, and mental health-related variables.

Fall-related variables

Experience of falls was categorized as “none,” “once,” or “twice or more,” based on the number of falls experienced by respondents who responded yes to the question on whether they fell within the past year. Fear of falls was categorized as “not at all afraid,” “a little afraid,” or “very afraid,” based on the question, “In general, are you afraid of falling?” Treatment due to falls during the past year was categorized as “yes” or “no” based on the question, “Have you fallen in the past 1 year?” Being bedridden was also categorized as “yes” or “no” based on the question, “In the past 1 month, have you been bedridden for almost all day due to an illness or injury?”

Socio-demographic factors

Socio-demographic factors included gender, age, education level, marital status, living arrangement, monthly income, residence type, locality, and national basic livelihood recipient status. Gender was categorized as men or women. Education level was grouped into five categories according to the respondents’ final year of education and whether they graduated: no formal education, elementary school, middle school, high school, and college or higher. Marital status was categorized as either having a spouse if the respondent had a spouse, or having no spouse if the respondent was divorced, separated, widowed, or not married. Categories for living arrangement included living alone, living with spouse, and living with family or others. Monthly income was categorized as less than 1 million Korean won (KRW), 1-2 million KRW, 2-3 million KRW, or 3 million KRW or more. Residence type was classified as “house” or “apartment,” and locality was classified as “urban” if the respondent lived in a dong (neighborhood) in the administrative division or as “rural” if the respondent lived in an eup (town) or myeon (township). National basic livelihood recipient status was classified as “yes” or “no.”

Health behaviors

Smoking was classified as “yes” for respondents who answered that they smoked every day or occasionally, and as “no” for respondents who answered that they did not smoke, or smoked previously but not currently. Drinking was categorized as “no (less than once a month),” “low to moderate (1-4 times per month),” and “high risk (twice or more per week)”; specifically “high-risk” drinking was defined as drinking over seven glasses of soju for men and over five glasses for women twice per week or more. For physical activity, moderate intensity was coded “yes” if the respondent exercised for 20 minutes or more at least three days a week, and if the high intensity was coded “yes” if the respondent exercised for 30 minutes or more at least five days a week. Walking was coded “yes” for respondents who walked for 30 minutes or more at least five days a week. Subjective health was classified as “good,” “average,” or “poor” based on the question, “In general, how do you perceive your health?” Body mass index (BMI) was computed using respondents’ height and weight, and classified as “underweight (<18.5 kg/m2),” “healthy weight (18.5-24.9 kg/m2),” “obese (25.0-29.9 kg/m2),” and “severely obese (≥ 30.0 kg/m2).”

Physical health-related variables

Hypertension, diabetes, dyslipidemia, and arthritis were coded “yes” or “no” according to whether the respondent was currently receiving treatment for the corresponding condition. Number of chronic illnesses was coded as 0, 1, 2, or 3 based on the total number of conditions (hypertension, diabetes, and arthritis) the respondent was receiving treatment for.

Mental health-related variables

Subjective stress was categorized as “very much,” “much,” “a little,” and “rarely” based on the question, “In general, how stressed do you feel in everyday life?” Depression was coded as “yes” or “no” based on the question, “In the past 1 year, have you felt sadness or despair to the extent that you could not complete everyday activities for 2 consecutive weeks or more?” Daily sleep duration was categorized as “5 hours or less,” “6-8 hours,” and “more than 9 hours,” with 5 hours or less or more than 9 hours being defined as sleep disorder [21].
Statistical analysis
All statistical analyses were performed using SPSS version 25.0 (IBM Corp., Armonk, NY, USA). Independent variables with the potential to influence falls were selected based on a review of the literature on falls. The statistical analysis accounted for the complex sample design taken into account, with individual weights computed and applied to the population. To examine the differences between the single and recurrent fall groups according to each of the variables, a chi-square test was performed. To examine between-group differences with respect to the relevant variables, complex-sample multinomial logistic regression analysis was conducted with fall frequency as the dependent variable and individuals over 65 as the study population to estimate odds ratios (ORs). Statistical significance was determined by a p-value of less than 0.05.
Ethics statement
The raw data were requested from the KCHS homepage (http://chs.cdc.go.kr/), and were obtained with all private information remaining anonymous.
Subjects’ fall-related characteristics
Among the study’s subjects, 19.6% had experienced at least one fall within the past year and 80.4% had not. Over the past year, 11.6% had fallen once and 8.0% had fallen twice or more; 48.1% received treatment for a fall and 51.9% did not (Table 1). A total of 38.8% indicated they were “not afraid at all” of falling, 37.7% were “a little afraid,” and 23.5% were “very afraid.” Fall experiences, overall falls, and recurrent falls were highest among those with the greatest fear of falling. Of all subjects, 8.1% had been bedridden and 91.9% had not. Those who had been bedridden had higher rates of fall experiences and recurrent falls (Table 2).
General characteristics and health behaviors according to fall frequency
Fall experiences and recurrent falls were higher in men than women. Mean age was 73.1 years in the group with no experience of falls, 73.9 in the single fall group, and 74.8 in the recurrent fall group, showing an increase in fall frequency with increasing age. Falls were more frequent in individuals without a spouse than in those with a spouse, and among those living alone compared to those living with a spouse. The rate of single falls was higher in the urban area, and the rate of recurrent falls was higher in the rural area. National basic livelihood recipients demonstrated higher rates of fall experience and recurrent falls. Fall experience and recurrent falls were higher in those who did not smoke or drink than in those who did smoke or drink. Respondents who engaged in walking or high/moderate intensity physical activity had lower rates of fall experience and recurrent falls. Respondents whose subjective health was poor had higher rates of fall experience and recurrent falls. Fall experience was higher in severely obese individuals, and recurrent falls were most common in both underweight and severely obese individuals. Between-group differences were statistically significant for all the measured variables (Table 3).
Mental health and chronic illness according to fall frequency
Higher rates of single and recurrent falls were found in respondents who slept 5 hours or less or more than 9 hours a day; had higher subjective stress; had experienced depression; were currently receiving treatment for hypertension, diabetes, dyslipidemia, or arthritis; and had a higher number of chronic illnesses. Additionally, rates of single and recurrent falls increased with decrease in respondents’ subjective health status. All variables related to mental health and chronic illness were statistically significantly different between groups (Table 4).
Effects of mental health on frequency of falls
Multinomial logistic regression analysis showed that in the single fall group, fall risk was higher in elderly adults with experience of depression (OR, 1.27; 95% confidence interval, 1.12 to 1.44). In the recurrent fall group, fall risk was higher in elderly adults with experience of depression (OR, 1.56; 95% CI, 1.38 to 1.76) and in those who slept for 5 hours or less or more than 9 hours (OR, 1.12; 95% CI, 1.02 to 1.23; OR, 1.24; 95% CI, 1.07 to 1.44, respectively). Additionally, risk of recurrent falls was greater in those with high subjective stress (OR, 2.30; 95% CI, 1.90 to 2.78) than in those with only a little subjective stress (OR, 1.21; 95% CI, 1.09 to 1.34) (Table 5).
Health status influences the risk of falls in elderly adults, and this includes not only physical health but also mental health. In elderly adults with more vulnerable health status, single falls are more likely to recur and have a serious effect on health, potentially leading to death [13].
In Korea, approximately 19.6% of adults 65 or older experienced at least one fall within the past year. Of those, 59.2% experienced a single fall and 40.8% experienced recurrent falls (two or more). A study of 329 community-dwelling elderly adults in a rural area found that 73.3% experienced single falls and 21.7% experienced recurrent falls, respectively [22]. Another found that among 104 community-dwelling elderly adults who were registered at regional public health centers and welfare service centers, 55.7% experienced a single fall and 44.2% experienced recurrent falls [15]. However, these previous studies were conducted with non-representative samples, which could mean that inconsistencies in the subjects’ characteristics affected the studies’ findings. Thus, a precise understanding of falls in the Korean elderly population has thus far been difficult. To fill this gap, the present study used data from the 2015 KCHS to investigate the effects of mental health on falls in elderly adults, differentiating between single and recurrent fall cases.
The study found that risk of single falls increased with depression, and that risk of recurrent falls increased with depression, sleep disorder (sleeping 5 hours or less or more than 9 hours per day), and greater subjective stress. Thus, mental health was demonstrated to have a greater effect on recurrent falls among elderly adults. Additionally, people who experience recurrent falls tend to reduce their physical activity in everyday life due to fear of falling, which affects them emotionally and increases the likelihood of falling again [15].
Among people who fell once, fall risk significantly increased by 1.27 times in those who experienced depression. This is consistent with a study conducted outside Korea, which demonstrated that greater depression was associated with higher risk of falls in elderly adults [23]. A study conducted in Korea also found a higher risk of falls in respondents with depression [19]. Depression deteriorates mental functions in elderly adults, lowering their cognitive functioning and also affecting their physical functioning. These mechanisms are speculated to increase the risk of falls [11,12]. In those who experienced recurrent falls, depression increased the risk of falls by 1.56 times, a greater risk than in the single fall group. Fall recurrence has been reported to correlate highly with depression [21], with a 45% higher rate of fall recurrence in patients with depression [24]. Additionally, research has reported that a major factor in recurrent falls is that after an initial fall, subjects’ physical functioning and social activity decrease due to physical injury, consequently increasing depression [18].
Mental health is closely associated with sleep duration and quality. Conventionally, a sleep duration of 5 hours or less or more than 9 hours is defined as sleep disorder [21]. In this study, individuals with sleep disorder in the recurrent fall group tended to have increased fall risk. This risk was particularly increased for those who overslept (more than 9 hours). Some studies report that sleep quality may be much lower in oversleeping (more than 9 hours) than sleep deprivation (5 hours or less) [25]. Poorer sleep quality deteriorates physical health and affects mental and cognitive functioning, which can influence falls [26], and the risk of another fall increases in elderly individuals who have already fallen [27]. However, various aspects must be considered when assessing sleep, including amount of sleep, number of arousals, and sleep latency [28], so it is difficult to assess sleep based on duration alone. Research examining the effects of sleep on recurrent falls is also extremely scarce. Thus, future research on this topic is needed.
Subjective stress was also found to influence falls in the recurrent fall group, indicating that higher subjective stress increases the risk of fall recurrence. Whereas a single fall tends to occur due to a sudden accident, recurrent falls occur because fear of falling increases with recurrent fall experiences, adding to psychological stress [13]. These negative effects eventually impact individuals’ physical activity and functional recovery capacity [29]. Accordingly, mental health promotion programs to enhance self-efficacy and reduce stress should be provided for elderly individuals who experience recurrent falls, in parallel with training to regain physical functioning.
This cross-sectional study confirmed the effects of mental health on falls among elderly adults. Additionally, the results demonstrated that mental health had greater effects on recurrent falls. A variety of complex factors are speculated to affect elderly adults’ emotional states, for example increasing their sleep and subjecting them to stress and depression, but it was difficult to explain the temporal relationships among mental health variables. Additionally, the study’s results cannot describe the directionality of the relationship between recurrent falls and mental health. However, this study is significant in that it was based on a representative, community-based database and demonstrated the differing effects of mental health on risk of single and recurrent falls.
In conclusion, the risk of recurrent falls may increase in Korean elderly adults as mental health status grows more vulnerable through stress, depression, and sleep disorder. Whereas single falls tend to occur due to a sudden accident, recurrent falls primarily occur in high-risk groups. Therefore, it is possible to prevent recurrent falls. Accordingly, fall prevention programs should be developed to manage specific risk factors according to individuals’ fall frequency. For people experiencing recurrent falls in particular, systematic treatment strategies and rehabilitation training are necessary to improve both mental health and physical functioning.
Korean version is available at http://www.e-epih.org/.
epih-42-e2020005-suppl.docx

CONFLICT OF INTEREST

The authors have no conflicts of interest to declare for this study.

FUNDING

None.

AUTHOR CONTRIBUTIONS

Conceptualization: KHJ, JP. Data curation: KHJ. Formal analysis: KHJ. Funding acquisition: None. Methodology: KHJ, JP, SYR. Project administration: JP, SYR. Visualization: KHJ. Writing – original draf: KHJ. Writing – review & editing: KHJ, JP, SYR.

None.
Table 1.
Fall-related characteristics of adults aged 65 and older (n=63,899)
Variables n % (% standard error)
Fall experience
 Yes 12,659 19.6 (0.2)
 No 51,240 80.4 (0.2)
No. of falls in the past year
 0 51,240 80.4 (0.2)
 1 7,190 11.6 (0.2)
 ≥ 2 5,469 8.0 (0.1)
Treatment for a fall within the past year
 Yes 5,972 48.1 (0.6)
 No 6,687 51.9 (0.6)
Table 2.
Fall-related characteristics according to fall status in adults aged 65 and older
Variables Total (%) Fall status
 p-value1
No Single Recurrent
Fear of falling
 Not at all afraid 38.8 90.4 (0.3) 6.8 (0.2) 2.8 (0.1) <0.001
 A little afraid 37.7 81.1 (0.4) 11.9 (0.3) 7.0 (0.2)
 Very afraid 23.5 62.8 (0.5) 19.0 (0.4) 18.1 (0.4)
Bedridden in past month
 Yes 8.1 61.8 (0.9) 17.2 (0.7) 21.0 (0.8) <0.001
 No 91.9 82.1 (0.2) 11.1 (0.2) 6.8 (0.1)

Values are presented as % (% standard error).

1 Chi-square test.

Table 3.
Differences in general characteristic and health behaviors by fall status in adults aged 65 and older
Variables Total (%) Fall status
 p-value1
No Single Recurrent
General information (n) 63,899 51,240 7,190 5,469
Gender <0.001
 Men 43.2 76.3 (0.3) 14.0 (0.2) 9.7 (0.2)
 Women 56.8 85.9 (0.2) 8.4 (0.2) 5.7 (0.2)
Age, mean±SE (yr) 73.91 ± 0.06 73.08 ± 0.04 73.85 ± 0.10 74.80 ± 0.12 <0.001
Education level <0.001
 No formal education 26.0 87.2 (0.7) 9.1 (0.6) 3.8 (0.4)
 Elementary school 31.1 84.8 (0.5) 9.3 (0.4) 5.9 (0.3)
 Middle school 15.4 83.2 (0.6) 11.2 (0.5) 5.6 (0.3)
 High school 19.4 84.8 (0.5) 9.3 (0.4) 5.9 (0.3)
 College or higher 8.1 87.2 (0.7) 9.1 (0.6) 3.8 (0.4)
Marital status <0.001
 No spouse 35.8 75.4 (0.4) 14.0 (0.3) 10.6 (0.3)
 Spouse 64.2 83.2 (0.3) 10.3 (0.2) 6.5 (0.2)
Living arrangement <0.001
 Alone 19.1 75.3 (0.5) 13.7 (0.4) 11.0 (0.3)
 With spouse 43.8 83.4 (0.3) 10.1 (0.2) 6.5 (0.2)
 With family or others 37.1 79.5 (0.4) 12.3 (0.3) 8.2 (0.3)
Monthly income (104 Korean won) <0.001
 <100 43.2 77.3 (0.3) 12.7 (0.3) 10.0 (0.2)
 100-200 22.4 82.5 (0.4) 10.9 (0.4) 6.5 (0.3)
 200-300 14.0 83.3 (0.6) 10.7 (0.5) 6.0 (0.4)
 ≥300 20.4 82.7 (0.5) 10.7 (0.4) 6.5 (0.3)
Residence type <0.001
 House 64.7 81.3 (0.4) 11.7 (0.3) 7.0 (0.3)
 Apartment 35.3 79.9 (0.2) 11.6 (0.2) 8.5 (0.2)
Locality <0.001
 Urban 69.9 80.6 (0.3) 11.8 (0.2) 7.6 (0.2)
 Rural 30.1 80.1 (0.3) 11.0 (0.2) 8.9 (0.2)
National basic livelihood recipient status <0.001
 Yes 6.3 70.9 (1.0) 15.1 (0.8) 14.0 (0.7)
 No 98.7 81.1 (0.2) 11.4 (0.2) 7.6 (0.1)
Smoking <0.001
 Yes 9.3 84.6 (0.6) 9.4 (0.5) 5.9 (0.4)
 No 90.7 80.0 (0.2) 11.8 (0.2) 8.2 (0.2)
Drinking <0.001
 None 65.9 78.8 (0.3) 12.4 (0.2) 8.9 (0.2)
 Low to moderate 23.2 83.3 (0.4) 10.2 (0.4) 6.5 (0.5)
 High-risk 10.9 85.0 (0.6) 9.6 (0.5) 5.4 (0.4)
High intensity exercise <0.001
 Yes 9.8 83.6 (0.7) 9.9 (0.6) 6.5 (0.4)
 No 90.2 80.1 (0.2) 11.8 (0.2) 8.1 (0.2)
Moderate intensity exercise <0.001
 Yes 19.0 83.5 (0.4) 10.1 (0.4) 6.4 (0.3)
 No 81.0 79.7 (0.2) 12.0 (0.2) 8.3 (0.2)
Walking <0.001
 Yes 51.6 83.0 (0.3) 10.7 (0.3) 6.3 (0.2)
 No 48.4 77.7 (0.3) 12.6 (0.2) 9.7 (0.2)
Subjective health status <0.001
 Good 21.6 88.7 (0.4) 8.1 (0.3) 3.3 (0.2)
 Average 36.5 83.5 (0.3) 11.2 (0.3) 5.3 (0.2)
 Poor 41.9 73.5 (0.4) 13.8 (0.3) 12.7 (0.3)
Body mass index (kg/m2) <0.001
 Underweight (<18.5) 12.3 77.0 (0.6) 12.5 (0.4) 10.6 (0.4)
 Healthy weight (18.5-24.9) 64.6 81.4 (0.3) 11.4 (0.2) 7.2 (0.2)
 Obese (25.0-29.9) 21.3 80.3 (0.5) 11.3 (0.4) 8.5 (0.5)
 Severely obese (≥30.0) 1.8 74.2 (2.1) 15.2 (1.8) 10.6 (1.5)

Values are presented as % (% standard error).

1 Chi-square test.

Table 4.
Differences in mental health and chronic illness characteristics by fall status in adults aged 65 and older
Variables Total (%) Fall status
 p-value1
No Single Recurrent
Sleep duration (hr) <0.001
 ≤5 25.5 77.5 (0.4) 12.4 (0.4) 10.1 (0.3)
 6-8 68.7 81.8 (0.3) 11.2 (0.2) 7.0 (0.2)
 ≥9 5.8 76.7 (0.9) 13.2 (0.7) 10.1 (0.6)
Subjective stress level <0.001
 Rarely 35.1 83.3 (0.3) 10.9 (0.3) 5.7 (0.2)
 A little 44.7 81.6 (0.3) 11.5 (0.3) 6.9 (0.2)
 Much 17.3 73.5 (0.6) 13.1 (0.5) 13.4 (0.5)
 Very much 2.9 67.7 (1.4) 13.1 (1.0) 19.3 (1.2)
Depression <0.001
 Yes 8.3 67.7 (0.9) 15.1 (0.7) 17.2 (0.8)
 No 91.7 81.3 (0.2) 11.3 (0.2) 7.1 (0.1)
Hypertension <0.001
 Yes 51.0 79.3 (0.3) 12.0 (0.2) 8.7 (0.2)
 No 49.0 81.5 (0.3) 11.2 (0.3) 7.2 (0.2)
Diabetes <0.001
 Yes 20.3 77.2 (0.5) 13.3 (0.4) 9.6 (0.4)
 No 79.7 81.3 (0.2) 11.2 (0.2) 7.6 (0.2)
Hyperlipidemia <0.001
 Yes 18.4 77.7 (0.6) 13.0 (0.4) 9.2 (0.4)
 No 81.6 81.1 (0.2) 11.3 (0.2) 7.7 (0.2)
Arthritis <0.001
 Yes 18.7 71.2 (0.5) 14.7 (0.4) 14.1 (0.4)
 No 81.3 82.6 (0.2) 10.9 (0.2) 6.6 (0.1)
No. of chronic illnesses <0.001
 0 35.7 83.8 (0.3) 10.3 (0.3) 5.9 (0.2)
 1 41.5 80.6 (0.3) 11.5 (0.3) 7.9 (0.2)
 2 19.8 76.2 (0.5) 13.4 (0.4) 10.4 (0.4)
 3 2.9 65.1 (1.6) 16.8 (1.4) 18.1 (1.2)

Values are presented as % (% standard error).

1 Chi-square test.

Table 5.
Effects of mental health on risk of falls by fall status
Variables Fall status
Single Recurrent
Sleep duration (hr)
 ≤5 1.01 (0.93, 1.10) 1.12 (1.02, 1.23)*
 6-8 1.00 (reference) 1.00 (reference)
 ≥9 1.15 (0.99, 1.32) 1.24 (1.07, 1.44)*
Subjective stress level
 Rarely 1.00 (reference) 1.00 (reference)
 A little 1.03 (0.95, 1.12) 1.21 (1.09, 1.34)***
 Much 1.09 (0.98, 1.22) 1.82 (1.62, 2.04)***
 Very much 1.06 (0.87, 1.29) 2.30 (1.90, 2.78)***
Depression
 No 1.00 (reference) 1.00 (reference)
 Yes 1.27 (1.12, 1.44)*** 1.56 (1.38, 1.76)***

Values are presented as odds ratio (95% confidence interval).

Values adjusted for gender, age, education level, marital status, living arrangement, monthly income, residence type, locality, national basic livelihood recipient status, smoking, drinking, high intensity exercise, moderate intensity exercise, walking, body mass index, sleep duration, subjective stress level, depression, hypertension, diabetes, hyperlipidemia, arthritis, number of chronic illnesses, and subjective health status.

* p<0.05,

*** p <0.001.

  • 1. World Health Organization. The injury chart book: a graphical overview of the global burden of injuries; 2002 [cited 2019 Jan 15]. Available from: https://www.who.int/publications-detail/the-injury-chart-book-a-graphical-overview-of-the-global-burden-of-injuries
  • 2. Ruchinskas R. Clinical prediction of falls in the elderly. Am J Phys Med Rehabil 2003;82:273-278.ArticlePubMed
  • 3. Statistics Korea. 2018 Elderly statistics; 2018 [cited 2019 Jan 4]. Available from: http://kostat.go.kr/portal/korea/kor_nw/1/1/index.board?bmode=read&aSeq=370779 (Korean)
  • 4. Ryeom TH, Kim SY, So YK, Park SY, Lee JH, Cho HS, et al. The risk factors of falls in the elderly. J Korean Acad Fam Med 2001;22:221-229. (Korean).
  • 5. Korean Statistical Information Service. Annual report on the cause of death statistics; 2017 [cited 2019 Jan 10]. Available from: http://kosis.kr/statHtml/statHtml.do?orgId=101&tblId=DT_1B34E01&vw_cd=MT_ZTITLE&list_id=D11&seqNo=&lang_mode=ko&language=kor&obj_var_id=&itm_id =&conn_path=MT_ZTITLE(Korean)
  • 6. Tinetti ME, Speechley M, Ginter SF. Risk factors for falls among elderly persons living in the community. N Engl J Med 1988;319:1701-1707.ArticlePubMed
  • 7. Korea Centers for Disease Control and Prevention (KCDC). National injury fact book 2015-2016. Cheongju: KCDC; 2018. p 79-80. (Korean).
  • 8. Rubenstein LZ, Josephson KR. Falls and their prevention in elderly people: what does the evidence show? Med Clin North Am 2006;90:807-824.ArticlePubMed
  • 9. Letts L, Moreland J, Richardson J, Coman L, Edwards M, Ginis KM, et al. The physical environment as a fall risk factor in older adults: systematic review and meta-analysis of cross-sectional and cohort studies. Aust Occup Ther J 2010;57:51-64.ArticlePubMed
  • 10. Yeom JH, Na HJ. Risk factors of falls among Korean elderly. J Korean Gerontol Soc 2012;32:577-592. (Korean).
  • 11. Turcu A, Toubin S, Mourey F, D’Athis P, Manckoundia P, Pfitzenmeyer P. Falls and depression in older people. Gerontology 2004;50:303-308.ArticlePubMed
  • 12. Rock PL, Roiser JP, Riedel WJ, Blackwell AD. Cognitive impairment in depression: a systematic review and meta-analysis. Psychol Med 2014;44:2029-2040.ArticlePubMed
  • 13. Fletcher PC, Hirdes JP. Risk factors for falling among community-based seniors using home care services. J Gerontol A Biol Sci Med Sci 2002;57:M504--M510.ArticlePubMedPDF
  • 14. Hong SH, Cho EH, Choi MY. Risk factors for falls among community-dwelling older adults-using KLoSA data. J Korean Gerontol Nurs 2010;12:211-224. (Korean).
  • 15. Yoo IY. Analysis of multi-variate recurrent fall risk factors in elderly people using residential assessment instrument-home care: comparisons between single and recurrent fallers. J Korean Acad Nurs 2011;41:119-128. (Korean).ArticlePubMed
  • 16. Kang KS, Yang J. A study on the fear of falling, activity of daily living and quality of life for the elderly. J Korea Acad Ind Coop Soc 2017;18:193-199. (Korean).
  • 17. Lee HJ, Lee TY, Tae KS. A study on the prediction of fall factors for the elderly living in the city. J Rehabil Welf Eng Assist Technol 2018;12:46-52. (Korean).
  • 18. Nam IS, Yoon HS. An analysis of the interrelationship between depression and falls in Korean older people. J Korea Gerontol Soc 2014;34:523-537. (Korean).
  • 19. Kim SG, Kim S, Kim KH, Jeong SM, Ko A, Han SV, et al. The association between depression and falls in Korean adults aged 45 years or older. Korean J Fam Pract 2018;8:696-702. (Korean).Article
  • 20. Korea Centers for Disease Control and Prevention. Community Health Survey; 2015 [cited 2019 May 10]. Available from: https://chs.cdc.go.kr/chs/mnl/mnlBoardMain.do (Korean)
  • 21. Kim MS, Kim JI. Relationship among the health state, daily living activities (ADL, IADL), sleep state, and depression among old people at elderly care facilities. J Korea Acad Ind Coop Soc 2015;16:2609-2619. (Korean).Article
  • 22. Jeon MY, Yang SH. Risk factors for recurrent falls among community-dwelling elderly in rural areas. J Korea Acad Ind Coop Soc 2013;14:6353-6363. (Korean).Article
  • 23. Kvelde T, McVeigh C, Toson B, Greenaway M, Lord SR, Delbaere K, et al. Depressive symptomatology as a risk factor for falls in older people: systematic review and meta-analysis. J Am Geriatr Soc 2013;61:694-706.ArticlePubMed
  • 24. Marcum ZA, Perera S, Thorpe JM, Switzer GE, Castle NG, Strotmeyer ES, et al. Antidepressant use and recurrent falls in community-dwelling older adults: findings from the Health ABC Study. Ann Pharmacother 2016;50:525-533.ArticlePubMedPMC
  • 25. Kwon E, Kim B, Won C, Choi H, Kim S, Kim K, et al. The effect of sleep duration and regularity on cardio-cerebrovascular disease: community-based prospective study. Korean J Fam Pract 2018;8:729-734. (Korean).Article
  • 26. Ancoli-Israel S. Sleep and its disorders in aging populations. Sleep Med 2009;10:S7-S11.ArticlePubMed
  • 27. Shin KR, Gong SJ, Kang Y, Oak JW, Lim EJ. The relationship of late-life function and disability (LLFDI) with quality of sleep in older men with prostatic hypertrophic symptoms. J Korean Acad Adult Nurs 2009;21:43-52. (Korean).
  • 28. Pilcher JJ, Ginter DR, Sadowsky B. Sleep quality versus sleep quantity: relationships between sleep and measures of health, well-being and sleepiness in college students. J Psychosom Res 1997;42:583-596.ArticlePubMed
  • 29. Park CS, Kim WG, An SH. The study on predicting of fall incidence using the falls-related efficacy scale in people with chronic stroke. J Spec Educ Rehabil Sci 2013;52:241-258. (Korean).

Figure & Data

References

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    Related articles
    The effects of mental health on recurrent falls among elderly adults, based on Korean Community Health Survey data
    The effects of mental health on recurrent falls among elderly adults, based on Korean Community Health Survey data
    Variables n % (% standard error)
    Fall experience
     Yes 12,659 19.6 (0.2)
     No 51,240 80.4 (0.2)
    No. of falls in the past year
     0 51,240 80.4 (0.2)
     1 7,190 11.6 (0.2)
     ≥ 2 5,469 8.0 (0.1)
    Treatment for a fall within the past year
     Yes 5,972 48.1 (0.6)
     No 6,687 51.9 (0.6)
    Variables Total (%) Fall status
    		 p-value1
    No Single Recurrent
    Fear of falling
     Not at all afraid 38.8 90.4 (0.3) 6.8 (0.2) 2.8 (0.1) <0.001
     A little afraid 37.7 81.1 (0.4) 11.9 (0.3) 7.0 (0.2)
     Very afraid 23.5 62.8 (0.5) 19.0 (0.4) 18.1 (0.4)
    Bedridden in past month
     Yes 8.1 61.8 (0.9) 17.2 (0.7) 21.0 (0.8) <0.001
     No 91.9 82.1 (0.2) 11.1 (0.2) 6.8 (0.1)
    Variables Total (%) Fall status
    		 p-value1
    No Single Recurrent
    General information (n) 63,899 51,240 7,190 5,469
    Gender <0.001
     Men 43.2 76.3 (0.3) 14.0 (0.2) 9.7 (0.2)
     Women 56.8 85.9 (0.2) 8.4 (0.2) 5.7 (0.2)
    Age, mean±SE (yr) 73.91 ± 0.06 73.08 ± 0.04 73.85 ± 0.10 74.80 ± 0.12 <0.001
    Education level <0.001
     No formal education 26.0 87.2 (0.7) 9.1 (0.6) 3.8 (0.4)
     Elementary school 31.1 84.8 (0.5) 9.3 (0.4) 5.9 (0.3)
     Middle school 15.4 83.2 (0.6) 11.2 (0.5) 5.6 (0.3)
     High school 19.4 84.8 (0.5) 9.3 (0.4) 5.9 (0.3)
     College or higher 8.1 87.2 (0.7) 9.1 (0.6) 3.8 (0.4)
    Marital status <0.001
     No spouse 35.8 75.4 (0.4) 14.0 (0.3) 10.6 (0.3)
     Spouse 64.2 83.2 (0.3) 10.3 (0.2) 6.5 (0.2)
    Living arrangement <0.001
     Alone 19.1 75.3 (0.5) 13.7 (0.4) 11.0 (0.3)
     With spouse 43.8 83.4 (0.3) 10.1 (0.2) 6.5 (0.2)
     With family or others 37.1 79.5 (0.4) 12.3 (0.3) 8.2 (0.3)
    Monthly income (104 Korean won) <0.001
     <100 43.2 77.3 (0.3) 12.7 (0.3) 10.0 (0.2)
     100-200 22.4 82.5 (0.4) 10.9 (0.4) 6.5 (0.3)
     200-300 14.0 83.3 (0.6) 10.7 (0.5) 6.0 (0.4)
     ≥300 20.4 82.7 (0.5) 10.7 (0.4) 6.5 (0.3)
    Residence type <0.001
     House 64.7 81.3 (0.4) 11.7 (0.3) 7.0 (0.3)
     Apartment 35.3 79.9 (0.2) 11.6 (0.2) 8.5 (0.2)
    Locality <0.001
     Urban 69.9 80.6 (0.3) 11.8 (0.2) 7.6 (0.2)
     Rural 30.1 80.1 (0.3) 11.0 (0.2) 8.9 (0.2)
    National basic livelihood recipient status <0.001
     Yes 6.3 70.9 (1.0) 15.1 (0.8) 14.0 (0.7)
     No 98.7 81.1 (0.2) 11.4 (0.2) 7.6 (0.1)
    Smoking <0.001
     Yes 9.3 84.6 (0.6) 9.4 (0.5) 5.9 (0.4)
     No 90.7 80.0 (0.2) 11.8 (0.2) 8.2 (0.2)
    Drinking <0.001
     None 65.9 78.8 (0.3) 12.4 (0.2) 8.9 (0.2)
     Low to moderate 23.2 83.3 (0.4) 10.2 (0.4) 6.5 (0.5)
     High-risk 10.9 85.0 (0.6) 9.6 (0.5) 5.4 (0.4)
    High intensity exercise <0.001
     Yes 9.8 83.6 (0.7) 9.9 (0.6) 6.5 (0.4)
     No 90.2 80.1 (0.2) 11.8 (0.2) 8.1 (0.2)
    Moderate intensity exercise <0.001
     Yes 19.0 83.5 (0.4) 10.1 (0.4) 6.4 (0.3)
     No 81.0 79.7 (0.2) 12.0 (0.2) 8.3 (0.2)
    Walking <0.001
     Yes 51.6 83.0 (0.3) 10.7 (0.3) 6.3 (0.2)
     No 48.4 77.7 (0.3) 12.6 (0.2) 9.7 (0.2)
    Subjective health status <0.001
     Good 21.6 88.7 (0.4) 8.1 (0.3) 3.3 (0.2)
     Average 36.5 83.5 (0.3) 11.2 (0.3) 5.3 (0.2)
     Poor 41.9 73.5 (0.4) 13.8 (0.3) 12.7 (0.3)
    Body mass index (kg/m2) <0.001
     Underweight (<18.5) 12.3 77.0 (0.6) 12.5 (0.4) 10.6 (0.4)
     Healthy weight (18.5-24.9) 64.6 81.4 (0.3) 11.4 (0.2) 7.2 (0.2)
     Obese (25.0-29.9) 21.3 80.3 (0.5) 11.3 (0.4) 8.5 (0.5)
     Severely obese (≥30.0) 1.8 74.2 (2.1) 15.2 (1.8) 10.6 (1.5)
    Variables Total (%) Fall status
    		 p-value1
    No Single Recurrent
    Sleep duration (hr) <0.001
     ≤5 25.5 77.5 (0.4) 12.4 (0.4) 10.1 (0.3)
     6-8 68.7 81.8 (0.3) 11.2 (0.2) 7.0 (0.2)
     ≥9 5.8 76.7 (0.9) 13.2 (0.7) 10.1 (0.6)
    Subjective stress level <0.001
     Rarely 35.1 83.3 (0.3) 10.9 (0.3) 5.7 (0.2)
     A little 44.7 81.6 (0.3) 11.5 (0.3) 6.9 (0.2)
     Much 17.3 73.5 (0.6) 13.1 (0.5) 13.4 (0.5)
     Very much 2.9 67.7 (1.4) 13.1 (1.0) 19.3 (1.2)
    Depression <0.001
     Yes 8.3 67.7 (0.9) 15.1 (0.7) 17.2 (0.8)
     No 91.7 81.3 (0.2) 11.3 (0.2) 7.1 (0.1)
    Hypertension <0.001
     Yes 51.0 79.3 (0.3) 12.0 (0.2) 8.7 (0.2)
     No 49.0 81.5 (0.3) 11.2 (0.3) 7.2 (0.2)
    Diabetes <0.001
     Yes 20.3 77.2 (0.5) 13.3 (0.4) 9.6 (0.4)
     No 79.7 81.3 (0.2) 11.2 (0.2) 7.6 (0.2)
    Hyperlipidemia <0.001
     Yes 18.4 77.7 (0.6) 13.0 (0.4) 9.2 (0.4)
     No 81.6 81.1 (0.2) 11.3 (0.2) 7.7 (0.2)
    Arthritis <0.001
     Yes 18.7 71.2 (0.5) 14.7 (0.4) 14.1 (0.4)
     No 81.3 82.6 (0.2) 10.9 (0.2) 6.6 (0.1)
    No. of chronic illnesses <0.001
     0 35.7 83.8 (0.3) 10.3 (0.3) 5.9 (0.2)
     1 41.5 80.6 (0.3) 11.5 (0.3) 7.9 (0.2)
     2 19.8 76.2 (0.5) 13.4 (0.4) 10.4 (0.4)
     3 2.9 65.1 (1.6) 16.8 (1.4) 18.1 (1.2)
    Variables Fall status
    Single Recurrent
    Sleep duration (hr)
     ≤5 1.01 (0.93, 1.10) 1.12 (1.02, 1.23)*
     6-8 1.00 (reference) 1.00 (reference)
     ≥9 1.15 (0.99, 1.32) 1.24 (1.07, 1.44)*
    Subjective stress level
     Rarely 1.00 (reference) 1.00 (reference)
     A little 1.03 (0.95, 1.12) 1.21 (1.09, 1.34)***
     Much 1.09 (0.98, 1.22) 1.82 (1.62, 2.04)***
     Very much 1.06 (0.87, 1.29) 2.30 (1.90, 2.78)***
    Depression
     No 1.00 (reference) 1.00 (reference)
     Yes 1.27 (1.12, 1.44)*** 1.56 (1.38, 1.76)***
    Table 1. Fall-related characteristics of adults aged 65 and older (n=63,899)

    Table 2. Fall-related characteristics according to fall status in adults aged 65 and older

    Values are presented as % (% standard error).

    Chi-square test.

    Table 3. Differences in general characteristic and health behaviors by fall status in adults aged 65 and older

    Values are presented as % (% standard error).

    Chi-square test.

    Table 4. Differences in mental health and chronic illness characteristics by fall status in adults aged 65 and older

    Values are presented as % (% standard error).

    Chi-square test.

    Table 5. Effects of mental health on risk of falls by fall status

    Values are presented as odds ratio (95% confidence interval).

    Values adjusted for gender, age, education level, marital status, living arrangement, monthly income, residence type, locality, national basic livelihood recipient status, smoking, drinking, high intensity exercise, moderate intensity exercise, walking, body mass index, sleep duration, subjective stress level, depression, hypertension, diabetes, hyperlipidemia, arthritis, number of chronic illnesses, and subjective health status.

    p<0.05,

    p <0.001.

    Table 1.

    Table 2.

    Table 3.

    Table 4.

    Table 5.

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