Skip to main content
International Journal of Environmental Research and Public Health logoLink to International Journal of Environmental Research and Public Health
. 2020 Nov 30;17(23):8909. doi: 10.3390/ijerph17238909

A Study on the Influence of Social Leisure Activities on the Progression to the Stage of Frailty in Korean Seniors

AlChan Kim 1, Eunsurk Yi 2, Jiyoun Kim 2,*, MunHee Kim 3,*
PMCID: PMC7731322  PMID: 33266136

Abstract

In this study, we performed a logistic regression analysis according to the frequency of participation in social leisure activities (education, clubs, social groups, volunteer activities, religious activities, and senior citizens’ welfare center use) by men and women aged ≥ 65 years. We investigated the frequency of participation in social leisure activities and their association with the level of frailty (health vs. pre-frailty, health vs. frailty, pre-frailty vs. frailty). This study included 10,297 older adults (men: 4128, women: 6169) who participated in the 2017 National Survey of Older Koreans, and were divided into three groups (healthy, pre-frailty, and frailty). Five frailty index components were used to measure the frailty level. There was a positive relationship between the elderly’s religious activities, four times a week, from the healthy stage to the frailty stage, from the healthy stage to the pre-frailty stage, and from the pre-frailty stage to the frailty. In addition, positive associations emerged in leisure activities and club activities, respectively, from the healthy stage to the frailty stage (once a week, respectively). Positive association also emerged from the healthy stage to the pre-frailty and from the pre-frailty stage to the frailty stage (once a month to once in a two-week period).

Keywords: frailty, aging, older adults, social leisure activities, national survey, Korean senior

1. Introduction

In recent years, with a rapidly aging society, the increasing number of older adults with deteriorating physical and psychological functions has emerged as a serious social problem. Aging literally means getting older. However, frailty refers to a condition in which the functions deteriorate severely, to the extent that it interferes with daily life [1]. Frailty is theoretically defined as a clinically recognizable state of increased vulnerability resulting from aging-associated decline in reserve and function across multiple physiologic systems, such that the ability to cope with every day acute stressors is compromised. In the absence of a gold standard, frailty has been operationally defined by Fried et al. as meeting three out of five phenotypic criteria, indicating compromised energetics: low grip strength, low energy, slowed waking speed, low physical activity, and/or unintentional weight loss [2].

In the United States, 7% of the older adults aged 65 years or older become frail, and this increases with age, indicating that one in four (25%) older adults aged 85 years or older are frail [3,4]. The prevalence of frailty among those aged 65 years and above in Korea is 8.3%, and the risk of frailty increases with age. Although the frequency of frailty among Korean senior citizens varies depending on the age measurement scale, and is measured using the five components of the Frailty Index (fatigue, resistance, ambulation, illness, loss of weight), it ranges from 21.9% to 29.0% [5].

The main symptoms associated with frailty are decreased muscle mass, weight loss, muscle weakness, fatigue, decrease in walking speed, and decrease in physical activity. Frailty has a high risk of adverse health consequences because it degrades several homeostasis functions, making them vulnerable to stressors [2,6]. The pandemic of infectious diseases, such as the coronavirus disease 2019 (COVID-19) causes enormous damage in older adults in terms of mortality. Particularly in the elderly with the disease, frailty has serious clinical symptoms, making death from COVID-19 even more likely [7].

Frailty can lead to disease, hospitalization, and activity restrictions, leading to gradual decline in functions [8,9]. Risk factors for frailty include age, sex, disease, social factors (such as loneliness, social isolation), economic factors, malnutrition, low levels of physical activity, and long sedentary lifestyles [10,11,12].

Not only does frailty weaken the functioning of various body organs, but it also results in the lack of ability to adapt to leisure and social activities, making it impossible for the older adults to live healthy in daily life. Frailty is divided into three stages: healthy, pre-frailty, and frailty. In order to slow down the progression from the healthy or pre-frailty stages in older adults to the next stage, frailty-related factors should be managed through various activities in the leisure time of older adults [13]. After retirement, older adults are often confused because of the loss of their official role, changes in family relations, or loss of their spouse, and may face the problem of how to spend a satisfactory retirement period [14]. In particular, the network of relationships, which is an important support base for old age adaptation, will be slowed, with emotional ties becoming estranged. These psychological and social stresses eventually lead to the loss of physical function, leading to chronic diseases or lower satisfaction levels in life [15].

For successful aging, it is importance for older adults to participate in active activities to prevent frailty and maintain physical independence. In addition, to prevent aging, it is necessary to know and manage aging predictors in advance. Social factors, such as social participation, social support, and physical fitness management have been reported as predictors of frailty [16,17,18,19].

Therefore, the study analyzed the frequency of participation in social leisure activities (education, clubs, social groups, volunteer activities, religious activities, use of senior citizen centers/senior citizen welfare centers) by frailty stage in Koreans aged over 65 years who participated in the 2017 national survey. The purpose of this study was to determine the relationship between appropriate frequency of participation in social leisure activities

2. Materials and Methods

2.1. Participants

This study included 10,297 older men and women aged 65 years or older based on the results of the 2017 National Survey of Older Koreans conducted by the Ministry of Health and Welfare of Korea (Korea Institute for Health and Social Affairs; 12, Seobukbu 2-ro, Jochiwon-eup, Sejong-si, Republic of Korea). The study participants were divided into groups, according to the three stages of frailty based on the five components of the Component Frailty Index [3].

The three groups that the participants were divided into based on the frailty stages were: the healthy, pre-frailty, and frailty stages with 735 (7.1%), 7746 (75.2%), and 1816 (17.6%) participants, respectively. As shown in Table 1, among the 2017 National Survey of Older Korean respondents, 40.1% (n = 4128) were men and 59.9% (n = 6169) were women. The participants’ average age was 74.6 ± 9.8 years, most participants were married (62.2%, n = 6405), and had graduated from elementary school (34.9%, n = 3597).

Table 1.

General characteristics of the study participants.

Variable Classification % (n)
Sex Male 40.1% (4128)
Female 59.9% (6169)
Age (years) 74.6 (Mean) ±9.80 (SD)
Marital status Single 0.5% (49)
Married 62.2% (6405)
Bereaved 33.4% (3439)
Divorced 3.1% (315)
Separated 0.9% (88)
Others 0.0% (1)
Educational level Not knowing alphabets 7.8% (805)
Reading characters 19.4% (1995)
Elementary school 34.9% (3597)
Middle school 15.8% (1625)
High school 15.7% (1612)
College 1.0% (98)
University 5.5% (565)

SD, standard deviation.

2.2. Study Design and Process

2.2.1. Sampling and Survey Method

This study, based on the 2017 National Survey of Older Koreans, targeted older adults aged over 65 years. The sample was set using the stratified cluster sampling, which is a method of stratification using primary extraction units, which are extracted from each layer as a colony. The survey period was from June to August 2017. Investigators visited the selected households in person. For those who could not respond directly, the nearest household member was asked to respond by proxy. However, a proxy response was not allowed for such survey items as cognitive function and depression that require subjective judgment. Data of 10,297 older Korean individuals were used (excluding two for whom the five FI components could not be applied, out of the 10,299 surveyed).

This study used only data of leisure and social activities in the questionnaires. In survey data questions on leisure and social activities, frequency of participation by education program, clubs, social groups, volunteer activities, religious activities, and the use of senior citizens’ welfare centers were determined.

2.2.2. Frailty Index

The three factors for determining the reference setting for the measurement index that was proposed for frailty measurement were: weight loss of ≥4.54 kg reduction; walking speed ≥ (9 s); and grip strength (average ± standard deviation [SD] minimum 20%) kg; sex; and body mass index). The five FI components analyzed in this study included judgment elements, and Table 2 shows the definition of the measurement index and the setting of the standards [3].

Table 2.

The definition and standards of the 5 FI (Frailty Index) components for the frailty scale.

Variable Definition Criteria Survey Question Number
Fatigue exhaustion Did you often feel tired during the recent month? Frailty ≥ 3 items
pre-frailty 1–2 items
Healthy = 0
Fatigue
B6-2
Ambulation walking speed (4 m) Did you have any difficulty climbing up 10 steps by yourself and without using aids? Resistance
D5-3
Resistance TUG test score (>10 s) 1. Did you have any difficulty walking 200 or 300 m by yourself and without using aids?
2. Illness: “Did a doctor tell you that you have the following 11 illnesses?
Ambulation
D5-2
B2-3
Illness poly-pharmacy The illnesses included hypertension, diabetes, angina, heart attack, congestive heart failure, stroke, chronic lung disease, asthma, arthritis, cancer, kidney disease Illness
B2-1-1
B2-1-4
B2-1-5
B2-1-6
B2-2-5
B2-2-2
B2-1-11
B2-1-12
B2-1-8
B2-1-7
B2-1-21
1. Weight loss
2. Malnourished and risk of
malnutrition
MNA-SF; Short Form Mini Nutritional Assessment Loss of
Weight
C5-9
C5-1-10

TUG, timed up and go test.

The 5 FI components for the frailty scale measurement variables include fatigue (fatigue exhaustion), ambulation walking speed (4 m), balance or resistance (resistance timed up and go (TUG) test score > 10 s), disease and drug use (illness poly-pharmacy), and weight. One point was assigned, if applicable, to the relevant survey item among the 5 items; or 0 point if not. The relevant survey question numbers for the five items are described in Table 2. One point was assigned if there was a relevant item among the five items, and 0 otherwise. A total score of the five items of 0 refers to a healthy stage; between 1 and 2 is the pre-frailty stage; and 3 or more points refer to the frailty stage.

2.2.3. Social Leisure Activities

The factors constituting social leisure activities in this study are education, clubs, social groups, polytechnic and social organizations, volunteering activities, religious activities, and senior citizen centers/senior wellness centers. The definitions for the subsets are shown in Table 3.

Table 3.

Definition of social leisure activities.

Participating Item Definition
Education program All forms of organized educational activities other than school education
Clubs Gathering of people who share the same hobby and enjoy it together
Social groups Orderly group for the purpose of being intimate and harmonious with each other
Political and social organizations Organization aimed at resolving political or social problems
Volunteering activities Intentional and planned daily activities that are voluntary actions by free will and actively participate in the creation of a welfare society
Religious activities All activities for religion
Senior citizen centers/senior welfare centers The act of visiting a senior citizen center or welfare center for the elderly for the purpose

2.3. Ethics Statement

To conduct this study, we downloaded the raw 2017 National Survey of Older Korean data, collected by the Ministry of Health and Welfare of Korea (https://www.kihasa.re.kr/r/). To use the data, we followed the procedure for using the original data on the Institute for Health and Social Affairs website, from June to August 2017. The survey on the status of the elderly, a state-approved statistic, is a court survey, performed in accordance with Article 5 of the Elderly Welfare Act, and conducted every three years after legalization in 2007.

2.4. Statistical Analysis

In this study, among the independent variables, age was categorized as youngest-old (65–74), middle-old (75–84), and oldest-old (85 years or older). The remaining independent variables (education, clubs, social groups, polytechnic and social organizations, volunteering activities, religious activities, senior citizen centers/senior wellness centers) were included from the questionnaire in the 2017 National Survey of Older Koreans. The general characteristics of the study participants were calculated through descriptive statistics and frequency analysis. The value of the frailty measurement reference item was recoded as “0” for “Yes” and “1” for “No.” Binary logistic regression analysis was performed to calculate the risk of independent variables that affect frailty stages (healthy, pre-frailty, and frailty stages) with the recoded values. The comparison between each stage of frailty was conducted for “healthy vs. pre-frailty stage,” “healthy vs. frailty stage,” and “pre-frailty and frailty stage.” All statistical analyses were performed using the IBM SPSS Statistical for Windows, version 23.0 (IBM Corp., Armonk, NY, USA), and the significance level was set at p < 0.05.

3. Results

This study was performed to determine the relationship between appropriate frequency of participation of social leisure activities. Logistic regression analysis was performed three times (healthy vs. pre-frailty, healthy vs. frailty, and pre-frailty vs. frailty).

Women (rather than men) and older age participants were more likely to be associated with frailty. Among the social leisure activities, when the frequencies of participation in clubs, social groups, and religious activities were once a month, once every two weeks, and more than four times a week, respectively, the possibility of progressing into the frailty stage was the slowest.

Table 4 presents the results of the logistic regression analysis according to the frequency of use; with education program, clubs, social groups, volunteer activities, religious activities, and senior citizens’ welfare centers as predictors of frailty stage compared to the healthy stage. Women were about 2.9 times more likely to be frail than men. The probability of frailty compared to the healthy stage was low when club participation occurred once a month, when social group participation occurred once every two weeks, and religious activities occurred four or more times a week.

Table 4.

Logistic regression analysis according to health and frailty stages.

Factor B S.E. Exp (B) 95% of EXP (B) C.I.
Lower Upper
Sex Men (n = 1004, 39.4%) 1
Women (n = 1547, 60.6%) 1.078 0.119 2.940 *** 2.327 3.714
Age 65~74 years (n = 1148, 45.0%) 1
75~84 years (n = 1122, 44.0%) 1.407 0.119 4.086 *** 3.234 5.162
85 years or older (n = 281, 11.0%) 1.801 0.268 6.053 *** 3.577 10.244
Social Leisure Activity Frequency of participation in education None (n = 2266, 88.8%) 1
Less than once a month (n = 1, 0.0%) 22.696 40,192.969 7,189,447,742.02 0.000 .
Once a month (n = 3, 0.1%) 22.305 18,939.906 4,863,317,491.69 .
Once a fortnight (n = 6, 0.2%) 0.291 1.584 1.338 0.060 29.802
Once a week (n = 109, 4.3%) 0.190 0.284 1.209 0.693 2.107
2–3 times a week (n = 129, 5.1%) 0.328 0.249 1.388 0.853 2.260
4 or more times a week (n = 37, 1.5%) −0.640 0.437 0.527 0.224 1.242
Frequency of club participation None (n = 2455, 96.2%) 1
Less than once a month (n = 9, 0.4%) −2.083 1.106 0.125 0.014 1.088
Once a month (n = 29, 1.1%) −2.487 0.790 0.083 * 0.018 0.391
Once a fortnight (n = 9, 0.4%) −20.561 13,049.056 0.000 0.000 .
Once a week (n = 16, 0.6%) −0.674 0.624 0.510 0.150 1.731
2–3 times a week (n = 18, 0.7%) −0.552 0.589 0.576 0.182 1.825
4 or more times a week (n = 15, 0.6%) −1.593 0.756 0.203 * 0.046 0.895
Frequency of participation in social groups None (n = 1712, 67.1%) 1
Less than once a month (n = 189, 7.4%) −1.053 0.186 0.349 *** 0.242 0.502
Once a month (n = 406, 15.9%) −1.169 0.140 0.311 *** 0.236 0.409
Once a fortnight (n = 133, 5.2%) −1.461 0.214 0.232 *** 0.153 0.353
Once a week (n = 72, 2.8%) −1.434 0.285 0.238 *** 0.136 0.417
2–3 times a week (n = 22, 0.9%) −0.528 0.483 0.590 0.229 1.520
4 or more times a week (n = 17, 0.7%) −1.169 0.546 0.311 * 0.106 0.907
Frequency of participation in religious activities None (n = 2471, 97.3%) 1
Less than once a month (n = 10, 0.4%) −0.058 0.156 0.944 0.695 1.281
Once a month (n = 18, 0.7%) −0.105 0.264 0.900 0.536 1.510
Once a fortnight (n = 6, 0.2%) −0.175 0.483 0.839 0.326 2.161
Once a week (n = 13, 0.5%) −0.329 0.154 0.720 * 0.532 0.974
2–3 times a week (n = 16, 0.6%) −0.462 0.210 0.630 * 0.418 0.951
4 or more times a week (n = 7, 0.3%) −0.830 0.295 0.436 ** 0.245 0.778

* p < 0.05, ** p < 0.01, *** p < 0.001. S.E., standard error; CI, confidence interval.

Table 5 presents the results of the logistic regression analysis including sex, age, clubs, social groups, participation in religious activities, and frequency of use per senior citizen as predictors of pre-frailty stage compared to the healthy stage. Women were about 1.9 times more likely to be frail than men. The probability of pre-frailty compared to the healthy stage was low if club participation occurred once fortnightly, social group participation occurred once a week, and religious activities occurred four or more times a week.

Table 5.

Logistic regression analysis according to health and pre-frailty stages.

Factor B S.E. Exp (B) 95% of EXP (B) C.I.
Lower Upper
Sex Men (n = 3562, 42.0%) 1
Women (n = 4919, 58.0%) 0.637 0.087 1.892 *** 1.594 2.244
Age 65~74 years (n = 4757, 56.1%) 1
75~84 years (n = 3251, 38.3%) 0.828 0.098 2.289 *** 1.888 2.776
85 years or older (n = 473, 5.6%) 0.869 0.244 2.384 *** 1.477 3.850
Social Leisure Activity Frequency of use senior community center None (n = 6329, 74.6%) 1
1 time (n = 250, 2.9%) 0.309 0.259 1.363 0.820 2.265
2 times (n = 242, 2.9%) 0.149 0.254 1.160 0.705 1.909
3 times (n = 410, 4.8%) 0.434 0.231 1.543 0.980 2.429
4 times (n = 191, 2.3%) 0.527 0.369 1.694 0.823 3.489
5 times (n = 469, 5.5%) 0.812 0.269 2.253 ** 1.329 3.820
6 times (n = 140, 1.7%) 0.551 0.462 1.736 0.701 4.295
7 times (n = 450, 5.3%) 0.717 0.263 2.048 ** 1.224 3.426
Frequency of club participation None (n = 8089, 95.4%) 1
Less than once a month (n = 39, 0.5%) −0.684 0.413 0.505 0.225 1.133
Once a month (n = 130, 1.5%) −0.0601 0.231 0.548 ** 0.349 0.862
Once a fortnight (n = 32, 0.4%) −1.133 0.410 0.322 ** 0.144 0.719
Once a week (n = 75, 0.9%) −0.285 0.339 0.752 0.387 1.460
2–3 times a week (n = 62, 0.7%) −0.572 0.344 0.564 0.287 1.108
4 or more times a week (n = 54, 0.6%) −0.928 0.346 0.395 ** 0.201 0.779
Frequency of participation in social groups None (n = 4437, 52.3%) 1
Less than once a month (n = 862, 10.2%) −0.266 0.131 0.766 * 0.593 0.991
Once a month (n = 1975, 23.3%) −0.330 0.100 0.719 *** 0.592 0.874
Once a fortnight (n = 701, 8.3%) −0.335 0.139 0.716 * 0.545 0.939
Once a week (n = 342, 4.0%) −0.394 0.180 0.674 * 0.474 0.960
2–3 times a week (n = 102, 1.2%) −0.220 0.335 0.802 0.416 1.546
4 or more times a week (n = 62, 0.7%) −0.434 0.370 0.648 0.314 1.337
Frequency of participation in religious activities None (n = 3894, 45.9%) 1
Less than once a month (n = 1676, 19.8%) 0.077 0.112 1.081 0.868 1.345
Once a month (n = 365, 4.3%) −0.0315 0.187 0.730 0.506 1.053
Once a fortnight (n = 116, 1.4%) −0.034 0.331 0.966 0.505 1.849
Once a week (n = 1365, 16.1%) −0.251 0.112 0.778 * 0.625 0.969
2–3 times a week (n = 722, 8.5%) −0.052 0.157 0.950 0.698 1.291
4 or more times a week (n = 343, 4.0%) −0.374 0.189 0.688 * 0.475 0.997

* p < 0.05, ** p < 0.01, *** p < 0.001. S.E., standard error; CI, confidence interval.

Table 6 presents the results of the logistic regression analysis including sex, age, frequency of use per senior citizen, club, social group, and frequency of religious activities as predictors of frailty stage compared to the pre-frailty stage. Women were about 1.4 times more likely to be frail than men. The probability of frailty compared to the pre-frailty stage was low if club participation occurred once a month, social group participation occurred once fortnightly, and religious activities occurred four or more times a week.

Table 6.

Logistic regression analysis according to pre-frailty and frailty stages.

Factor B S.E. Exp (B) 95% of EXP (B) C.I.
Lower Upper
Sex Men (n = 3690, 38.6%) 1
Women (n = 5872, 61.4%) 0.327 0.061 1.386 *** 1.230 1.563
Age 65~74 years (n = 4779, 50.0%) 1
75~84 years (n = 4067, 42.5%) 0.627 0.061 1.872 *** 1.660 2.111
85 years or older (n = 716, 7.5%) 0.973 0.096 2.647 *** 2.195 3.193
Social Leisure Activity Frequency of use of senior community center None (n = 7092, 74.2%) 1
1 time (n = 270, 2.8%) −0.473 0.186 0.623 * 0.432 0.898
2 times (n = 269, 2.8%) −0.329 0.174 0.720 0.512 1.011
3 times (n = 475, 5.0%) −0.360 0.129 0.698 ** 0.542 0.899
4 times (n = 218, 2.3%) −0.564 0.193 0.569 ** 0.389 0.831
5 times (n = 552, 5.8%) −0.477 0.121 0.621 *** 0.489 0.787
6 times (n = 159, 1.7%) −0.704 0.231 0.494 ** 0.314 0.778
7 times (n = 527, 5.5%) −0.490 0.124 0.612 *** 0.480 0.780
Frequency of club participation None (n = 9228, 96.5%) 1
Less than once a month (n = 32, 0.3%) −1.370 1.026 0.254 0.034 1.898
Once a month (n = 107, 1.1%) −1.314 0.592 0.269 * 0.084 0.858
Once a fortnight (n = 23, 0.2%) −19.187 8139.473 0.000 0.000 .
Once a week (n = 69, 0.7%) −0.451 0.476 0.637 0.251 1.617
2–3 times a week (n = 58, 0.6%) 0.002 0.417 1.002 0.443 2.268
4 or more times a week (n = 45, 0.5%) −0.511 0.610 0.600 0.181 1.983
Frequency of participation in social groups None (n = 5603, 58.6%) 1
Less than once a month (n = 859, 9.0%) −0.654 0.118 0.520 *** 0.412 0.655
Once a month (n = 1941, 20.3%) −0.799 0.087 0.450 *** 0.379 0.533
Once a fortnight (n = 672, 7.0%) −0.995 0.152 0.370 *** 0.275 0.498
Once a week (n = 326, 3.4%) −0.777 0.206 0.460 *** 0.307 0.689
2–3 times a week (n = 102, 1.1%) −0.561 0.327 0.571 0.301 1.084
4 or more times a week (n = 59, 0.6%) −0.398 0.415 0.672 0.298 1.516
Frequency of participation in religious activities None (n = 4539, 47.5%) 1
Less than once a month (n = 1855, 19.4%) −0.158 0.077 0.854 * 0.735 0.992
Once a month (n = 400, 4.2%) 0.044 0.142 1.045 0.790 1.381
Once a fortnight (n = 124, 1.3%) −0.205 0.266 0.815 0.484 1.372
Once a week (n = 1512, 15.8%) −0.146 0.080 0.864 0.739 1.010
2–3 times a week (n = 787, 8.2%) −0.286 0.111 0.751 ** 0.604 0.934
4 or more times a week (n = 345, 3.6%) −0.588 0.180 0.555 *** 0.390 0.791
Frequency of participation in volunteer work None (n = 9232, 96.5%) 1
Less than once a month (n = 54, 0.6%) −0.312 0.536 0.732 0.256 2.093
Once a month (n = 72, 0.8%) −0.495 0.523 0.610 0.219 1.698
Once a fortnight (n = 29, 0.3%) −0.266 0.754 0.767 0.175 3.360
Once a week (n = 77, 0.8%) −1.154 0.598 0.315 0.098 1.019
2–3 times a week (n = 63, 0.7%) 0.369 0.380 1.446 0.686 3.045
4 or more times a week (n = 35, 0.4%) −1.551 1.027 0.212 0.028 1.586

* p < 0.05, ** p < 0.01, *** p < 0.001. S.E., standard error; CI, confidence interval.

Women, rather than men, and those in the older age groups were found to be more likely to progress into the frailty stage from the pre-frailty stage. Among the factors of social leisure activities, of those who progressed into the frailty stage from the pre-frailty stage compared to the healthy, the rate was the slowest for those who participated six times a week. When the frequencies of participation in clubs, social groups, and religious activities were once a month, once every two weeks, and more than four times a week, respectively, the possibility of progressing to the frailty stage from the pre-frailty stage was the slowest.

4. Discussion

The increase in the population of frail individuals due to a rapidly aging society is becoming serious social problems, including increase in medical expenses. This study predicted frailty according to the frequency of social leisure activities (education, clubs, social groups, volunteer activities, religious activities, and senior citizens’ welfare centers) by age group, for men and women aged 65 years or older. The purpose of this study was to determine the relationship between the frequency of appropriate participation in social leisure activities required to slow the progression from the healthy stage to the pre-frailty stage and the stage of frailty.

The main purpose of leisure activity is to build relationships, including socializing with peers and strengthening human relationships [3]; therefore, enriching the opportunities for such interactions is very important for the psychological well-being.

In particular, social participation and social relations become important factors in improving the life satisfaction of older adults whose feelings of alienation and loneliness are problems, arising due to the disconnection of relationships and loss of roles as aging progresses [20]. Therefore, it is important to improve the life satisfaction by enhancing the quality of social relations through leisure [21].

Social activities, such as leisure life, volunteer work, employment, and religion are proposed for effective retirement. Of these, religious activities are the most preferred by older adults, and religious institutions are sources of emotional support for them, after family and the state [22]. This study also found that participation in religious activities four times a week was the best way to slow the progression from the healthy stage to the pre-frailty or frailty stages.

The religious participation rate includes about half (53.1%) of the entire Korean population, 63.3% of whom are older adults aged over 60 years; thus, religion has an important meaning in retirement [23]. Securing a social network that can support older individuals is very important, and participation of older adults in religious activities often provide them with the opportunity to feel a sense of value and efficacy for themselves while experiencing interactions with others. For the elderly in Korean society, religion is not only the beginning of social relationships, but also has a profound relationship with the continuation of emotional relationships [24].

These religious activities reinforce subjective well-being [25], have a positive effect on the quality of life [26], reduce depression and psychological stress [27], and decrease the mortality rate of older adults. Religious activities also seem to be helpful for the maintenance of physical and mental health and the quality of life of older adults [28].

Leisure time enjoyed together in social relationships extends beyond limited relationships in clubs or social groups to friends and community relations; as well as social activities conducted while interacting with other people, which lead to life satisfaction for older individuals [29].

In this study, in order to slow the progression into the frailty stages from the healthy stage, participation in social activities during leisure time occurred once a week, whereas participation in club activities was once every two weeks, which were beneficial. To slow progression to the pre-frailty stage from the healthy stage, participation in social activities during leisure time occurred once every two weeks, whereas participation in club activities was once a month, which were beneficial.

Participation in club activities and social groups helps to enhance strength and vitality following participation in meaningful activities and hobbies or sharing concerns with one’s peers. It also helps to slow social and emotional isolation by restoring the dwindling social networks. The results of this study recommended the frequency of use of social activities per senior citizen at six or seven times per week. This is because older adults living in similar areas may have more opportunities to be involved with direct personal life exchanges or share minor concerns with each other, or cooperate with one another. The participation of the elderly in social leisure activities is thought to play a major role in getting the elderly to have a positive and active life attitude rather than a negative view of themselves.

The limitations of this study and some suggestions for subsequent studies are as follows. There was no information on the period of participation in social leisure activities of the elderly who participated in the survey. In future, it is important to consider such things as the duration of participation and detailed activities of the elderly. Studies are also needed to identify ways of reducing the risk of frailty by including data on various quantitative and qualitative variables such as health and behavior habits and physical activities, as well as social leisure activities that can affect frailty. In addition, since the average life expectancy of the elderly population is increasing, it is necessary to closely monitor the various patterns that are changing over time through a longitudinal follow-up survey rather than a cross-sectional study on frailty. In addition, it is necessary for the community and the country to develop continuous and new frailty prevention programs by investigating the various daily activities of vibrant 100-year-olds.

5. Conclusions

In this study, logistic regression analysis was performed for men and women aged 65 years or older according to their frequency of participation in social leisure activities (education, clubs, social groups, volunteer activities, religious activities, and use of senior citizens’ welfare centers). As a result of this study, in order to slow the relationship from the healthy stage to pre-frailty and frailty stages, older people commonly need to engage in religious activities four times a week. In order to slow the relationship from the healthy stage into the frailty stages, participation in social activities during leisure time should occur once a week, whereas participation in club activities should occur once every two weeks. From the healthy stage to the pre-frailty stages, participation in social activities during leisure time should occur once every two weeks, while participation in club activities should occur once a month. From the pre-frailty stage to the frailty stage, participation in social activities during leisure time should occur once every two weeks, whereas participation in club activities should be once a month. The participations in activities at the stated frequencies would be beneficial.

Author Contributions

Conceptualization, A.K. and E.Y.; methodology, A.K.; formal analysis, A.K.; investigation, J.K.; writing—original draft preparation, M.K.; writing—review and editing, M.K. and J.K.; supervision, E.Y.; project administration, A.K. All authors have read and agreed to the published version of the manuscript.

Funding

This research was prepared with the support of the academic research funds of Baekseok University in 2020 and state funding was provided with the Ministry of Education of the Republic of Korea and the National Research Foundation of Korea (NRF-2019S1A5A2A03037891).

Conflicts of Interest

The authors declare no conflict of interest.

Footnotes

Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.

References

  • 1.Tabue-Teguo M., Simo N., Gonzalez-Colaço Harmand M., Cesari M., Avila-Funes J.A., Féart C., Amiéva H., Dartigues J.F. Frailty in elderly: A brief review. Geriatr. Psychol. Neuropsychiatr. Vieil. 2017;15:127–137. doi: 10.1684/pnv.2017.0670. [DOI] [PubMed] [Google Scholar]
  • 2.Fried L.P., Tangen C.M., Walston J., Newman A.B., Hirsch C., Gottdiener J., Seeman T., Tracy R., Kop W.J., Burke G. Frailty in older adults: Evidence for a phenotype. J. Gerontol. A Biol. Sci. Med. Sci. 2001;56:M146–M156. doi: 10.1093/gerona/56.3.M146. [DOI] [PubMed] [Google Scholar]
  • 3.Malmstrom T.K., Miller D.K., Morley J.E. A comparison of four frailty models. J. Am. Geriatr. Soc. 2014;62:721–726. doi: 10.1111/jgs.12735. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 4.Jones D.M., Song X., Rockwood K. Operationalizing a frailty index from a standardized comprehensive geriatric assessment. J. Am. Geriatr. Soc. 2004;52:1929–1933. doi: 10.1111/j.1532-5415.2004.52521.x. [DOI] [PubMed] [Google Scholar]
  • 5.Kim W.K., Jeong J.W. Applying the frailty and frailty measurement scale of the 2014 and 2017 elderly survey. J. Acad. Coach. Abil. Dev. 2019;21:101–110. [Google Scholar]
  • 6.Rockwood K., Mitnitski A. Frailty in relation to the accumulation of deficits. J. Gerontol. A Biol. Sci. Med. Sci. 2007;62:722–727. doi: 10.1093/gerona/62.7.722. [DOI] [PubMed] [Google Scholar]
  • 7.Maltese G., Corsonello A., Di Rosa M., Soraci L., Vitale C., Corica F., Lattanzio F. Frailty and COVID-19: A Systematic Scoping Review. J. Clin. Med. 2020;9:2106. doi: 10.3390/jcm9072106. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8.McGregor R.A., Cameron-Smith D., Poppitt S.D. It is not just muscle mass: A review of muscle quality, composition and metabolism during ageing as determinants of muscle function and mobility in later life. Longev. Healthspan. 2014;3:9. doi: 10.1186/2046-2395-3-9. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9.Koster A., Ding J., Stenholm S., Caserotti P., Houston D.K., Nicklas B.J., You T., Lee J.S., Visser M., Newman A.B. Does the amount of fat mass predict age-related loss of lean mass, muscle strength, and muscle quality in older adults? J. Gerontol. A Biol. Sci. Med. Sci. 2011;66:888–895. doi: 10.1093/gerona/glr070. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10.Gale C.R., Westbury L., Cooper C. Social isolation and loneliness as risk factors for the progression of frailty: The English Longitudinal Study of Ageing. Age Aging. 2018;47:392–397. doi: 10.1093/ageing/afx188. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11.Kehler D.S. The impact of sedentary and physical activity behaviour on frailty in middle-aged and older adults. Appl. Physiol. Nutr. Metab. 2018;43:638. doi: 10.1139/apnm-2018-0092. [DOI] [PubMed] [Google Scholar]
  • 12.Pinto J.M., Neri A.L. Factors related to low social participation in older adults: Findings from the Fibra study, Brazil. Cadernos Saúde Coletiva. 2017;25:286–293. doi: 10.1590/1414-462x201700030300. [DOI] [Google Scholar]
  • 13.Chang S.F., Lin P.L. Frail phenotype and mortality prediction: A systematic review and meta-analysis of prospective cohort studies. Int. J. Nurs. Stud. 2015;52:1362–1374. doi: 10.1016/j.ijnurstu.2015.04.005. [DOI] [PubMed] [Google Scholar]
  • 14.Adelmann P.K. Multiple roles and psychological well-being in a national sample of older adults. J. Gerontol. 1994;49:S277–S285. doi: 10.1093/geronj/49.6.S277. [DOI] [PubMed] [Google Scholar]
  • 15.Atchley R.C. Social Forces and Aging. Wadsworth Publishing Co.; Belmont, CA, USA: 2000. [Google Scholar]
  • 16.Woo J., Goggins W., Sham A., Ho S. Social determinants of frailty. Gerontology. 2005;51:402–408. doi: 10.1159/000088705. [DOI] [PubMed] [Google Scholar]
  • 17.Fushiki Y., Ohnishi H., Sakauchi F., Oura A., Mori M. Relationship of hobby activities with mortality and frailty among community-dwelling elderly adults: Results of a follow-up study in Japan. J. Epidemiol. 2012;22:340–347. doi: 10.2188/jea.JE20110057. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 18.Peek M.K., Howrey B.T., Ternent R.S., Ray L.A., Ottenbacher K.J. Social support, stressors, and frailty among older Mexican American adults. J. Gerontol. Ser. B Psychol. Sci. Soc. Sci. 2012;67:755–764. doi: 10.1093/geronb/gbs081. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 19.Etman A., Kamphuis C.B., Van der Cammen T.J., Burdorf A., Van Lenthe F.J. Do lifestyle, health and social participation mediate educational inequalities in frailty worsening? Eur. J. Public Health. 2015;25:345–350. doi: 10.1093/eurpub/cku093. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 20.Kelly J.R. Leisure. 3rd ed. Prentice; Englewood Cliffs, NJ, USA: 1996. [Google Scholar]
  • 21.Han S.M. Social Leisure Activity and Life Satisfaction of the Elderly. Focused on The Leisure Satisfaction and Loneliness. Korean J. Soc. Walfare Stud. 2011;42:157–182. [Google Scholar]
  • 22.Kwak Y.G. A Study on the Influence of Elderly’s Leisure Activity Participation on Social Relationships: Focused on the Case of Dance Sports Participation. J. Korean Leis. Recreat. Soc. 2010;34:27–42. [Google Scholar]
  • 23.Kim S.R. Differences in Mental Health according to Religion and Religious Activities of the Elderly: Focusing on Hope, Gratitude, Death Anxiety, and Depression. University of HanSe; Gunpo, Korea: 2012. [Google Scholar]
  • 24.Korea National Statistical Office Cause of Death Statistics in 2018. [(accessed on 24 September 2020)]; Available online: http://kostat.go.kr/portal/korea/index.action.
  • 25.Ellison C.G. Religious involvement and subjective well-being. J. Health Soc. Behav. 1991;32:80–99. doi: 10.2307/2136801. [DOI] [PubMed] [Google Scholar]
  • 26.Kim M.S., Park M.J. A Study on the Effect of Religion on the Quality of Life of the Elderly. Korean Geriatr. 2000;20:29–47. [Google Scholar]
  • 27.Jeon H.J. The adverse effects of religious activity in old age on mental health. Sr. Welf. Res. 2004;25:169–186. [Google Scholar]
  • 28.Balboni T.A., Vanderwerker L.C., Block S.D., Paulk M.E., Lathan C.S., Peteet J.R., Prigerson H.G. Religiousness and spiritual support among advanced cancer patients and associations with end-of-life treatment preferences and quality of life. J. Clin. Oncol. 2007;25:555–560. doi: 10.1200/JCO.2006.07.9046. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 29.Marsh C., Agius P.A., Jayakody G., Shajehan R., Abeywickrema C., Durrant K., Luchters S., Holmes W. Factors associated with social participation amongst elders in rural Sri Lanka: A cross-sectional mixed-methods analysis. BMC Pub. Health. 2018;18:636. doi: 10.1186/s12889-018-5482-x. [DOI] [PMC free article] [PubMed] [Google Scholar]

Articles from International Journal of Environmental Research and Public Health are provided here courtesy of Multidisciplinary Digital Publishing Institute (MDPI)

RESOURCES