Journal of Men's Health,2024,20(8):24-34 DOI:10.22514/jomh.2024.126
Original Research
Exploring the correlation between moderate-intensity physical activity and lifestyle habits in unmarried South Korean men
Wonsang Shin1, Wi-Young So2,*,, Jeonga Kwon3,*,

1Planning and Administration Office, Korea Paralympic Committee (KPC), 05540 Seoul, Republic of Korea

2Department of Sports Medicine, College of Humanities, Korea National University of Transportation, 27469 Chungju-si, Republic of Korea

3Department of Elementary Education, College of First, Korea National University of Education, 28173 Cheongju-si, Republic of Korea

*Corresponding Author(s):wowso@ut.ac.kr (Wi-Young So); gilddong1234555@knue.ac.kr (Jeonga Kwon)

History Submitted: 02 March 2024 | Accepted: 17 April 2024 | Published: 30 August 2024
Copyright:  ©2024 The Author(s). Published by MRE Press.
This is an open access article under the CC BY 4.0 license (https://creativecommons.org/licenses/by/4.0/).

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Abstract

The purpose of this study is to examine the effects of moderate-intensity physical activity on obesity prevention, stress, smoking, and alcohol consumption among unmarried Korean men. Such a study is necessary since it seeks to understand the health behavior of unmarried Korean men and suggests the right direction for health management. In particular, this study investigated the association of the frequency of participation in moderate-intensity physical activity with lifestyle variables, such as body mass index (BMI), perceived stress, smoking and alcohol consumption, among unmarried men in the Republic of Korea. To this end, a second cross-sectional study was conducted by collecting data from unmarried men in Korea who participated in the 2022 Korea Community Health Survey. The data was then analyzed using SPSS for Windows (version 23.0; IBM Corp., Armonk, NY, USA) for frequency analysis, chi-square test, and multivariate logistic regression analysis. The findings revealed that a majority of unmarried Korean men do not participate in moderate-intensity physical activity. Unmarried men were also more likely to have moderate, overweight, and obese BMIs than those who did not engage in moderate-intensity physical activity. Conversely, the likelihood of smoking and drinking alcohol decreased with an increase in the number of days they engaged in physical activity. These findings highlight the importance of creating a social environment that encourages unmarried men to participate in moderate-intensity physical activity. The results of this study can be used to develop health management strategies and health-related policies for unmarried men in the Republic of Korea.

Keywords:Body mass index;Drinking;Perceived stress;Physical activity;Smoking
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Cite this article

Wonsang Shin, Wi-Young So, Jeonga Kwon. Exploring the correlation between moderate-intensity physical activity and lifestyle habits in unmarried South Korean men.Journal of Men's Health,2024,20(8):24-34 DOI:10.22514/jomh.2024.126

1. Introduction

Physical activity decreases the risk of chronic diseases and increases longevity [1]. Furthermore, it decreases morbidity and mortality associated with cardiovascular diseases and various types of cancer; improves brain health; reduces obesity and falls; and provides benefits during pregnancy and peripartum period, arthritis, and comorbid diseases, such as diabetes, hypertension, and multiple sclerosis [2]. The Centers for Disease Control and Prevention along with the American College of Sports Medicine have categorized moderate physical activity as an activity with metabolic equivalents ranging from 3.0–6.0 kcal/min and 3.5–7.0 kcal/min, respectively, while vigorous activity is defined as an activity with metabolic equivalents >6.0 kcal/min and >7 kcal/min, respectively [3]. According to global guidelines on physical activity, adults should target doing 150–300 min of moderate-intensity and 75–150 min of vigorous-intensity physical activity per week. This has been increased from previous guidelines, which focused on achieving at least 150 min of moderate-intensity or 75 min of vigorous-intensity activity per week [4].

Overweight and obesity, which are associated with several serious health conditions, are significant public health concerns [5]. Exercise positively affects body weight and cardiovascular disease risk factors among overweight or obese people, particularly when it is combined with diet. Even in the absence of weight loss, exercise enhances health [5]. Stress is a risk factor for cardiovascular diseases, and acute psychological stress is associated with factors that contribute to the development of atherosclerosis, endothelial dysfunction, inflammatory reactivity, and oxidative stress [6]. Studies examining the relationship between exercise and stress have shown evidence of the preventive or stress-reducing effects of physical activity [7]. Physically active individuals show reduced reactivity to physical stressors and reduced susceptibility to the adverse effects of life stress [8]. Physically active men show lower cortisol increases, lower cardiovascular reactivity, and more rapid cardiovascular recovery in response to psychological laboratory stressors compared to their lesser active counterparts [9].

Smoking, a major public health issue, harms not only the smoker’s physical and mental health but also that of passive smokers [10]. It is implicated in a wide array of diseases, such as cancer, respiratory, cardiovascular, infectious, and neurological diseases. Furthermore, it is associated with several fatal diseases and can cause a major decline in overall health [11]. Physical activity may be helpful for individuals who want to reduce their smoking consumption. Some studies have suggested that engaging in physical activity induces feelings of pleasure or euphoria due to the release of endogenous opioids and dopamine [12]. However, other studies have reported that physical activity has no significant effect on smoking [13].

In general, Korean men enjoy consuming alcohol and are more likely than women to participate in social and economic activities (i.e., jobs) that result in high levels of stress, leading to consuming alcohol often as a way to cope [14, 15]. Alcohol consumption is a major risk factor for chronic diseases, such as alcohol dependence, cirrhosis, diabetes, cardiovascular disease and cancer, and has negative effects on the majority of the body [16]. It is worth noting that several previous studies have reported that participation in physical activity has a significant effect on the reduction of alcohol consumption [17, 18].

Overall, the effects of physical activity on obesity prevention, stress, smoking, and alcohol consumption have differed based on the characteristics of the study population. In particular, participation by unmarried men in physical activity often leads to behaviors that have adverse effects on health, such as smoking and alcohol [19]. Therefore, studies are needed to look at how participation in moderate-intensity physical activity in unmarried men affects body mass index (BMI), perceived stress, level of smoking, and alcohol consumption. Examining the effect of moderate-intensity physical activity on obesity prevention, stress, smoking and alcohol consumption among unmarried Korean men, and then disseminating the findings, may encourage them to engage in healthy behaviors. This study can provide valuable insight into related research, such as the development of research hypotheses on whether and how the number of days of moderate-intensity physical activity in unmarried men have a positive effect on BMI, perceived stress, level of smoking, and alcohol consumption. The results of this study can also serve as a foundation for developing national health management strategies and health-related policies for unmarried Korean men.

2. Materials and methods

2.1 Data collection

To perform this study, we extracted the data of 22,522 unmarried men who participated in the 2022 Korea Community Health Survey. The 2022 Korea Community Health Survey was conducted on adults aged 19 and over living in South Korea, and samples were selected by stratification based on region and housing type. The variables used in the questionnaire items in this study were utilized in accordance with the development and validation of International Physical Activity Questionnaires [20]. This survey was executed by conducting computer-assisted personal interviews at each household using an electronic questionnaire stored on a tablet. We requested the raw data of this survey and utilized it post-approval (https://chs.kdca.go.kr/chs/rdr/rdrInfoProcessMain.do).

2.2 Measures

2.2.1 Independent variable

The independent variable was the “frequency (number of days) of participation in moderate-intensity physical activity in a week”. Data for this variable was collected by asking respondents, “In the past week, on how many days have you engaged in at least 10 min of moderate physical activity that is slightly more strenuous than usual or causes slight shortness of breath?”. The responses were categorized as “never”, “1–2 days a week”, “3–4 days a week” and “5 or more days a week”.

2.2.2 Dependent variables

The dependent variables were BMI, perceived stress, smoking and alcohol consumption. BMI was calculated based on the respondent’s height and weight (kg)/height (m2). A BMI of <18.5 kg/m2 was categorized as “underweight”, between 18.5 and 23 kg/m2 as “healthy”, between 23 and 25 kg/m2 as “overweight” and >25 kg/m2 as “obese”. We classified participants into five groups based on their BMI, which was according to the World Health Organization Western Pacific Region guidelines and the Korean Practice Guidelines [21, 22, 23].

Perceived stress was assessed by asking respondents, “How much stress do you experience in daily life?”. The response options were “very much”, “a lot”, “a little” and “almost none”. We used these responses without modifications. Smoking was assessed by asking respondents, “How many cigarettes did you smoke in the last week?”. The response options were “less than 5 packs (100 cigarettes) a week”, “5 packs or more a week” and “none”. We also used these responses without modifications. Alcohol consumption was assessed by asking, “In the past year, how much alcohol did you consume on one occasion?”. The response options were “did not drink”, “1–2 cups on one occasion”, “3–4 cups on one occasion”, “5–6 cups on one occasion”, “7–9 cups on one occasion” and “10 or more cups on one occasion”. We categorized the responses as “none”, “1–2 cups on one occasion”, “3–4 cups on one occasion” and “5 or more cups on one occasion”.

2.2.3 Covariate variables

The covariate variables were engagement in economic activity, frequency of breakfast consumption (number of days), age, ability to perform daily activities, self-care ability, exercise ability, pain-discomfort and anxiety-depression. These covariate variables could be categorized into economic activity, daily activities, and exercise ability. As these variables are highly related to the lifestyle of the research participants, they have a great influence on the independent and dependent variables. Therefore, they were used in multivariate logistic regression analyses. Specifically, engagement in economic activity was measured by asking respondents, “In the past week, have you engaged in any paid work for more than an hour or any unpaid work for a family member for more than 18 hours?”. The response options were “yes” and “no”. We used these responses without modifications. The frequency of breakfast consumption was determined by asking, “In the last year, how many days a week did you eat breakfast?”. The response options were “5–7 times a week”, “3–4 times a week”, “1–2 times a week” and “almost never”, and we used the responses without modifications. We categorized respondents’ ages as 19–39 years, 40–59 years and ≥60 years. Regarding ability to perform daily activities, self-care ability, exercise ability, pain-discomfort and anxiety-depression, the respondents were asked to mark the items that best described their health that day. The response options for ability to perform daily activities were “no impediments to daily activities”, “some impediments to daily activities” and “unable to carry out daily activities”. The response options for self-care ability were “no problems with bathing or dressing”, “no difficulty in bathing or dressing alone” and “unable to bathe or dress alone”. The response options for exercise ability were “no problem in walking”, “some trouble in walking” and “must lie down all day”. The response options for pain-discomfort were “none”, “a little” and “severe”. The response options for anxiety-depression were “none”, “a little” and “severe”.

2.3 Data analysis

A second cross-sectional study was conducted by collecting data from unmarried men in Korea who participated in the 2022 Korea Community Health Survey. We used SPSS for Windows (version 23.0; IBM Corp., Armonk, NY, USA) for data analysis. First, we conducted a frequency analysis on the characteristics of the study population. Second, we conducted a chi-square test to determine differences in the characteristics of the study population based on their participation in moderate-intensity physical activity in a week. Third, we performed multivariate logistic regression analysis to analyze the association of “frequency of participation in moderate-intensity physical activity in a week” with lifestyle variables, such as BMI, perceived stress, smoking and alcohol consumption. Odds ratios (ORs) and 95% confidence intervals (CIs) were calculated, and statistical significance was set at p < 0.05.

3. Results

3.1 Characteristics of the study population

Table 1 shows the characteristics of the study population. A majority of respondents did not participate in moderate-intensity physical activity (56.7%). Among those did participated, most were active for ≥5 days a week. Furthermore, many respondents were obese (41.3%), and most experienced a little stress in daily life (57.2%), smoked five or more packs of cigarettes in a week (51.7%), and drank five or more cups of alcohol on one occasion (54.9%).

Table 1.Characteristics of the study population (n = 22,522).
CharacteristicCategoriesn (%)
Number of days of participation in moderate-intensity physical activity in a week
5 or more days a week3728 (16.6%)
3–4 days a week3049 (13.5%)
1–2 days a week2981 (13.2%)
Never12,764 (56.7%)
Body mass index
Underweight600 (2.7%)
Healthy7354 (32.6%)
Overweight5274 (23.4%)
Obesity9294 (41.3%)
Perceived stress
Very much735 (3.3%)
A lot4244 (18.8%)
A little12,872 (57.2%)
Almost none4671 (20.7%)
Smoking
Less than 5 packs (100 cigarettes) a week1134 (5.0%)
5 packs or more a week11,645 (51.7%)
None9743 (43.3%)
Alcohol consumption
None4151 (18.4%)
1–2 cups on one occasion2770 (12.3%)
3–4 cups on one occasion3233 (14.4%)
5 or more cups on one occasion12,368 (54.9%)
Age
19–39 years16,228 (72.1%)
40–59 years5501 (24.4%)
60 years or older793 (3.5%)
Anxiety-depression
None20,547 (91.2%)
A little1823 (8.1%)
Severe152 (0.7%)
Pain-discomfort
None19,113 (84.9%)
A little3203 (14.2%)
Severe206 (0.9%)
Ability to perform daily activities
No impediments to daily activities21,690 (96.3%)
Some impediments to daily activities753 (3.3%)
Unable to carry out daily activities79 (0.4%)
Self-care ability
No problems with bathing or dressing22,182 (98.5%)
No difficulty in bathing or dressing alone294 (1.3%)
Unable to bathe or dress alone46 (0.2%)
Exercise ability
No problem in walking21,564 (95.7%)
Some trouble in walking913 (4.1%)
Must lie down all day45 (0.2%)
Frequency of breakfast consumption (number of days)
5–7 times a week8172 (36.3%)
3–4 times a week2412 (10.7%)
1–2 times a week2373 (10.5%)
Almost never9565 (42.5%)
Engagement in economic activity
Yes15,420 (68.5%)
No7102 (31.5%)

3.2 Differences in the characteristics of the study population based on frequency of participation in moderate-intensity physical activity in a week

Table 2 presents the results of an analysis examining the differences in the characteristics of the study population based on their frequency of participation in moderate-intensity physical activity in a week. Statistically significant differences were found in respondents’ BMI (χ2 = 88.528, p < 0.001), perceived stress (χ2 = 51.208, p < 0.001), smoking (χ2 = 107.403, p < 0.001), alcohol consumption (χ2 = 224.288, p < 0.001), age (χ2 = 278.963, p < 0.001), anxiety-depression (χ2 = 59.913, p < 0.001), pain-discomfort (χ2 = 56.801, p < 0.001), ability to perform daily activities (χ2 = 184.559, p < 0.001), self-care ability (χ2 = 120.402, p < 0.001), exercise ability (χ2 = 167.901, p < 0.001), frequency of breakfast consumption (χ2 = 223.275, p < 0.001) and engagement in economic activity (χ2 = 210.457, p < 0.001) based on their weekly participation in moderate-intensity physical activity.

Table 2.Differences in the characteristics of the study population based on their participation in moderate-intensity physical activity.
CharacteristicCategoriesNumber of days of participation in moderate-intensity physical activity in a weekχ2 (p)
5 or more days a week3–4 days a week1–2 days a weekNever
Body mass index
Underweight62 (10.3%)49 (8.2%)61 (10.2%)428 (71.3%)88.528 (<0.001***)
Healthy1148 (15.6%)987 (13.4%)921 (12.5%)4298 (58.5%)
Overweight946 (17.9%)773 (14.7%)727 (13.8%)2828 (53.6%)
Obesity1572 (16.9%)1238 (13.3%)1272 (13.7%)5212 (56.1%)
Perceived stress
Very much119 (16.2%)71 (9.7%)98 (13.3%)447 (60.8%)51.208 (<0.001***)
A lot677 (16.0%)555 (13.1%)554 (13.0%)2458 (57.9%)
A little2105 (16.3%)1843 (14.3%)1797 (14.0%)7127 (55.4%)
Almost none827 (17.7%)580 (12.4%)532 (11.4%)2732 (58.5%)
Smoking
Less than 5 packs (100 cigarettes) a week168 (14.8%)173 (15.3%)187 (16.5%)606 (53.4%)107.403 (<0.001***)
5 packs or more a week2046 (17.6%)1403 (12.0%)1381 (11.9%)6815 (58.5%)
None1514 (15.6%)1473 (15.1%)1413 (14.5%)5343 (54.8%)
Alcohol consumption
None607 (14.6%)390 (9.4%)403 (9.7%)2751 (66.3%)224.288 (<0.001***)
1–2 cups on one occasion457 (16.5%)372 (13.4%)359 (13.0%)1582 (57.1%)
3–4 cups on one occasion508 (15.7%)501 (15.5%)480 (14.9%)1744 (53.9%)
5 or more cups on one occasion2156 (17.4%)1786 (14.4%)1739 (14.1%)6687 (54.1%)
Age
19–39 years2812 (17.3%)2422 (14.9%)2296 (14.2%)8698 (53.6%)278.963 (<0.001***)
40–59 years807 (14.7%)565 (10.3%)647 (11.7%)3482 (63.3%)
60 years or older109 (13.8%)62 (7.8%)38 (4.8%)584 (73.6%)
Anxiety-depression
None3472 (16.9%)2837 (13.8%)2735 (13.3%)11,503 (56.0%)59.913 (<0.001***)
Sometimes242 (13.3%)200 (11.0%)235 (12.9%)1146 (62.8%)
Very severe14 (9.2%)12 (7.9%)11 (7.2%)115 (75.7%)
Pain-discomfort
None3171 (16.6%)2667 (14.0%)2605 (13.6%)10,670 (55.8%)56.801 (<0.001***)
Sometimes531 (16.6%)365 (11.4%)361 (11.3%)1946 (60.7%)
Very severe26 (12.6%)17 (8.3%)15 (7.3%)148 (71.8%)
Ability to perform daily activities
No impediments to daily activities3654 (16.9%)2995 (13.8%)2933 (13.5%)12,108 (55.8%)184.559 (<0.001***)
Some impediments to daily activities71 (9.4%)54 (7.2%)48 (6.4%)580 (77.0%)
Unable to carry out daily activities3 (3.8%)0 (0%)0 (0%)76 (96.2%)
Self-care ability
No problems with bathing or dressing3700 (16.7%)3036 (13.7%)2972 (13.4%)12,474 (56.2%)120.402 (<0.001***)
No difficulty in bathing or dressing alone27 (9.2%)13 (4.4%)8 (2.7%)246 (83.7%)
Unable to bathe or dress alone1 (2.2%)0 (0%)1 (2.2%)44 (95.6%)
Exercise ability
No problem in walking3638 (16.9%)2983 (13.8%)2915 (13.5%)12,028 (55.8%)167.901 (<0.001***)
Some trouble in walking85 (9.3%)65 (7.1%)65 (7.1%)698 (76.5%)
Must lie down all day5 (11.1%)1 (2.2%)1 (2.2%)38 (84.5%)
Frequency of breakfast consumption (number of days)
5–7 times a week1549 (18.9%)1019 (12.5%)922 (11.3%)4682 (57.3%)223.275 (<0.001***)
3–4 times a week386 (16.0%)409 (17.0%)383 (15.8%)1234 (51.2%)
1–2 times a week316 (13.3%)390 (16.4%)447 (18.9%)1220 (51.4%)
Almost never1477 (15.4%)1231 (12.9%)1229 (12.9%)5628 (58.8%)
Engagement in economic activity
Yes2799 (18.1%)2189 (14.2%)2184 (14.2%)8248 (53.5%)210.457 (<0.001***)
No929 (13.1%)860 (12.1%)797 (11.2%)4516 (63.6%)
***p < 0.001, assessed using chi-square test.

3.3 Association between the frequency of participation in moderate-intensity physical activity in a week and body mass index

Table 3 presents the results of analysis examining the association between the frequency of participation in moderate-intensity physical activity in a week and BMI. The average OR (95% CI) indicating the relationship between moderate-intensity physical activity and being healthy was 1.600 (1.213–2.112; p = 0.001) and 1.754 (1.291–2.384; p < 0.001) among respondents who participated in the activity for ≥5 days a week and 3–4 days a week, respectively. The average OR (95% CI) of the relationship between moderate-intensity physical activity and being overweight was 1.938 (1.465–2.564; p < 0.001), 2.023 (1.485–2.758; p < 0.001) and 1.535 (1.155–2.039; p = 0.003) among those who participated in moderate-intensity physical activity for ≥5 days a week, 3–4 days a week and 1–2 days a week, respectively. The average OR (95% CI) of the association between moderate-intensity physical activity and being obese was 1.725 (1.309–2.272; p < 0.001), 1.731 (1.275–2.349; p < 0.001) and 1.431 (1.083–1.891; p = 0.012) among those who participated in moderate-intensity physical activity for ≥5 days a week, 3–4 days a week and 1–2 days a week, respectively. These results showed that unmarried men were more likely to have moderate, overweight, and obese BMIs than those who did not engage in moderate-intensity physical activity.

Table 3.Association between the frequency of participation in moderate-intensity physical activity in a week and body mass index.
VariableBody mass index (odds ratios and 95% confidence interval)
HealthyOverweightObesity
Frequency of participation in moderate-intensity physical activity in a week (number of days)
5 or more days a week1.600 (1.213–2.112) p = 0.001**1.938 (1.465–2.564) p < 0.001***1.725 (1.309–2.272) p < 0.001***
3–4 days a week1.754 (1.291–2.384) p < 0.001***2.023 (1.485–2.758) p < 0.001***1.731 (1.275–2.349) p < 0.001***
1–2 days a week1.321 (0.998–1.750) p = 0.0521.535 (1.155–2.039) p = 0.003**1.431 (1.083–1.891) p = 0.012*
Never1.0001.0001.000
*p < 0.05, **p < 0.01, ***p < 0.001, assessed using multivariate logistic regression analysis.

3.4 Association between the frequency of participation in moderate-intensity physical activity in a week and perceived stress

Table 4 shows the results of the analysis examining the association between the frequency of participation in moderate-intensity physical activity in a week and perceived stress. No statistically significant OR was found among respondents who perceived very much stress and a little stress. The average OR (95% CI) of the association between moderate-intensity physical activity and perceiving almost no stress was 1.145 (1.015–1.292; p = 0.028) among those who participated in moderate-intensity physical activity ≥5 days a week. As a results, unmarried men were more likely to feel almost no stress as they did not engage in moderate-intensity physical activity.

Table 4.Association between the frequency of participation in moderate-intensity physical activity in a week and perceived stress.
VariablePerceived stress (odds ratios and 95% confidence interval)
Very muchA littleAlmost none
Number of days of participation in moderate-intensity physical activity in a week
5 or more days a week1.107 (0.884–1.388) p = 0.3751.050 (0.948–1.162) p = 0.3501.145 (1.015–1.292) p = 0.028*
3–4 days a week0.793 (0.604–1.042) p = 0.0961.109 (0.994–1.238) p = 0.0630.958 (0.838–1.096) p = 0.531
1–2 days a week1.070 (0.839–1.366) p = 0.5851.111 (0.995–1.239) p = 0.0610.911 (0.795–1.044) p = 0.180
Never1.0001.0001.000
*p < 0.05, assessed using multivariate logistic regression analysis.

3.5 Association between frequency of participation in moderate-intensity physical activity in a week and alcohol consumption

Table 5 presents the results of analysis examining the association between the frequency of participation in moderate-intensity physical activity in a week and alcohol consumption. The average OR (95% CI) of the association between moderate-intensity physical activity and no alcohol consumption was 0.792 (0.713–0.880; p < 0.001), 0.595 (0.526–0.673; p < 0.001) and 0.652 (0.577–0.737; p < 0.001) among those who participated in moderate-intensity physical activity for ≥5 days a week, 3–4 days a week and 1–2 days a week, respectively. The average OR (95% CI) of the association between moderate-intensity physical activity and drinking 1–2 cups of alcohol on one occasion was 0.876 (0.771–0.995; p = 0.042) among those who participated in moderate-intensity physical activity for 3–4 days a week. There was no statistical significance for the association between 3–4 cups of alcohol on one occasion and any frequency of participation in moderate-intensity physical activity. As a result, unmarried men were found to have a decrease in alcohol consumption as the number of days they participated in physical activity increased compared to those who did not participate in moderate-intensity physical activity.

Table 5.Association between the frequency of participation in moderate-intensity physical activity in a week and alcohol consumption.
VariableAlcohol consumption (odds ratios and 95% confidence interval)
None1–2 cups on one occasion3–4 cups on one occasion
Number of days of participation in moderate-intensity physical activity in a week
5 or more days a week0.792 (0.713–0.880) p < 0.001***0.943 (0.838–1.060) p = 0.3260.936 (0.837–1.047) p = 0.246
3–4 days a week0.595 (0.526–0.673) p < 0.001***0.876 (0.771–0.995) p = 0.042*1.081 (0.965–1.212) p = 0.178
1–2 days a week0.652 (0.577–0.737) p < 0.001***0.890 (0.782–1.012) p = 0.0751.080 (0.962–1.212) p = 0.191
Never1.0001.0001.000
*p < 0.05, ***p < 0.001, assessed through multivariate logistic regression analysis.

3.6 Association between the frequency of participation in moderate-intensity physical activity in a week and smoking

Table 6 shows the results of the analysis of examining the association between the frequency of participation in moderate-intensity physical activity in a week and smoking. The average OR (95% CI) of the association between moderate-intensity physical activity and smoking five or more packs of cigarette a week was 0.754 (0.629–0.903; p = 0.002) and 0.667 (0.559–0.796; p < 0.001) among those who participated in moderate-intensity physical activity for 3–4 days a week and 1–2 days a week, respectively. No statistically significant OR was found among those who did not smoke with any frequency of participation in moderate-intensity physical activity. As a result, unmarried men were found to have a decrease in smoking as the number of days they participated in physical activity increased compared to those who did not participate in moderate-intensity physical activity.

Table 6.Association between the frequency of participation in moderate-intensity physical activity in a week and smoking.
VariableSmoking (odds ratios and 95% confidence interval)
5 packs or more a weekNone
Number of days of participation in moderate-intensity physical activity in a week
5 or more days a week1.111 (0.928–1.331) p = 0.2531.009 (0.840–1.211) p = 0.925
3–4 days a week0.754 (0.629–0.903) p = 0.002**0.989 (0.825–1.185) p = 0.905
1–2 days a week0.667 (0.559–0.796) p < 0.001***0.892 (0.748–1.064) p = 0.205
Never1.0001.000
**p < 0.01, ***p < 0.001, assessed using multivariate logistic regression analysis.

4. Discussion

4.1 Interpretation of the findings

This study explored the association of the frequency of participation in moderate-intensity physical activity with BMI, perceived stress, smoking, and alcohol consumption among unmarried men. The results showed that unmarried men were more likely to have moderate, overweight, and obese BMI than those who did not engage in moderate-intensity physical activity. In addition, unmarried men were more likely to feel almost no stress as they did not engage in moderate-intensity physical activity. Notably, unmarried men were found to have a decrease in alcohol consumption and smoking as the number of days they participated in physical activity increased compared to those who did not participate in moderate-intensity physical activity.

We first found that 56.7% of unmarried Korean men do not participate in moderate-intensity physical activity. This study confirmed that participation in moderate-intensity physical activity is significantly related to stress reduction and reduced likelihood of smoking and drinking alcohol among unmarried men, which significantly affects health behavior. It is well-established that moderate-intensity physical activity such as aerobic fitness, cycling, doubles tennis, badminton, table tennis, slow swimming increases the average lifespan, reduces the causes of death, increases muscle strength and cardiorespiratory fitness, positively affects obesity, and lowers the risk of metabolic syndrome and various diseases [24, 25, 26]. In addition, it improves health and reduces the risk of morbidity and mortality more effectively than low levels of activity or fitness [27]. Despite the positive effects of moderate-intensity physical activity, the participation rate of unmarried men remains low. This could be related to Korea’s social and cultural background, where men engage in more social activities than women and are greatly influenced by environmental factors, such as work and interpersonal relationships at work [28]. Moreover, middle-aged individuals have an increased interest in health and are more likely to practice health behaviors [29]. In this study, 72.1% of respondents were between the ages of 19 and 39 years. Despite this, participation in physical activity was low. Therefore, fostering a social and cultural environment in which unmarried Korean men can consistently participate in moderate-intensity physical activities can improve their physical, mental, and social health.

Second, we found that the likelihood of being healthy, overweight, or obese increases with an increase in the frequency of participation in moderate-intensity physical activity in a week among unmarried Korean men. Many studies have reported that participating in physical activity significantly reduces BMI [30, 31]. However, our finding contradicts those of previous studies. So et al. [30] found a significant association between physical activity participation and BMI among Korean men. Chan et al. [31] found that participation in physical activity is inversely related to overweight and obesity among Malaysian men. They emphasized the importance of participating in moderate-intensity physical activity to reduce overweight and obesity. Trinh et al. [32] argued that participation in moderate-intensity physical activity is closely related to reduced BMI among overweight and obese children. Another study found that participating in moderate-intensity physical activity is effective in reducing the risk of obesity and diminishing the body fat percentage in overweight and obese individuals [33]. This leads to a reduction in medical costs and the possibility of diseases other than obesity, thus providing benefits in the mid-to-long term [34]. Previous studies differed from the results of this study because it was found that participation in moderate-intensity physical activity had a positive effect on BMI reduction. Given the discrepancy between our findings and those of previous studies, further research is warranted in this regard.

Third, we found that the likelihood of experiencing almost no stress increases with an increase in the frequency of participation in moderate-intensity physical activity in a week among unmarried Korean men. This suggests that the more they participate in moderate-intensity physical activity, the more is the reduction in stress levels. This finding aligns with the findings of previous studies that found that physical activity significantly reduces perceived stress and increases resilience to stress [35, 36, 37]. It also aligns with the finding of Pengpid et al. [35], who found that participation in vigorous physical activity is associated with reduced perceived stress among university students from 23 low- and middle-income countries. Mücke et al. [36] conducted a systematic literature analysis and found that higher levels of physical activity are associated with weakened responses to psychosocial stress. Lachance et al. [37] found that participating in moderate-intensity physical activity effectively reduces work stress, consistent with our finding. The significant effect of moderate-intensity physical activity participation in unmarried men on stress reduction appears to be due to the normalization of neural activity by increasing the release of endorphins and the activity of norepinephrine and serotonin [38]. Therefore, unmarried men who experience high stress should frequently participate in moderate-intensity physical activity.

Fourth, we found that the likelihood of drinking alcohol decreases with an increase in the frequency of participation in moderate-intensity physical activity in a week among unmarried Korean men. This implies that their participation in moderate-intensity physical activity causes them to drink less alcohol. This finding contradicts that of Niedermeier et al. [39], who found no relationship between physical activity and alcohol consumption. Our finding also contradicts that of West et al. [40], who found that people who exercise frequently consume greater amounts of alcohol. Buscemi et al. [17] found that the relationship between physical activity and drinking alcohol differs according to sex, with the correlation between physical activity and drinking alcohol being more positive for men than for women, confirming the results of this study. Musselman et al. [18], however, found that physically active students drink less alcohol, consistent with our finding. Furthermore, individuals who endorsed being physically active had higher odds of being in 12-month remission from alcohol use problems than people who were physically inactive [41]. Therefore, participation in moderate-intensity physical activity among unmarried men in South Korea is effective in reducing their alcohol intake. Health policies should encourage unmarried men who want to reduce their alcohol intake to consistently engage in moderate-intensity physical activity.

Fifth, we found that the likelihood of smoking decreases with an increase in the frequency of participation in moderate-intensity physical activity in a week among unmarried men. This suggests that their participation in moderate-intensity physical activity causes them to smoke less. This finding contradicts that of Kaczynski et al. [13], who conducted a systematic literature analysis of the relationship between physical activity and smoking and found that the relationship between the two is weak. However, our finding is partially consistent with that of Audrain-McGovern et al. [42], who found that participating in physical activity is effective in smoking cessation. Smokers spend significantly lesser time on sports, leisure, and aerobic activities and have lower levels of physical activity than non-smokers, suggesting that regular exercise can reduce the risk of developing tobacco-related diseases [43]. Because participation in moderate-intensity physical activity helps to reduce the frequency of smoking, unmarried men who wish to quit smoking should frequently participate in moderate-intensity physical activity.

4.2 Limitation

This study had several limitations. First, because it was a cross-sectional study, the causal relationship between frequency of participation in moderate-intensity physical activity in a week with lifestyle variables among unmarried Korean men could not be investigated. Therefore, future studies should explore these relationships in detail. Second, because data on participation in moderate-intensity physical activity and lifestyle variables were self-reported, a recall bias and/or response bias may have been introduced. However, the researcher visited the home and conducted the survey in the form of an interview, in order to minimize the limitations of the self-report method. Unfortunately, it is difficult to independently verify the accuracy of self-reported data. This is because variables such as the number of days of moderate-intensity physical activity, the amount of smoking, the amount of alcohol consumed, and the perceived stress used in this study were collected by asking about the participants’ experiences over the past week and past year (a considerable recall time). Nevertheless, this study is valuable because it identified the effects of participation in moderate-intensity physical activity on BMI, perceived stress, smoking, and alcohol consumption among 22,522 unmarried Korean men. The results of this study can be used as foundational data for developing policies concerning health management strategies for unmarried Korean men.

5. Conclusions

An increase in the frequency of participation in moderate-intensity physical activity in a week among unmarried Korean men increases their likelihood of being healthy, overweight, or obese and of experiencing almost no stress, as per the results of this study. These findings are contrary to the results of previous studies, so future research is needed. It also decreases their likelihood of smoking and drinking alcohol. Despite these positive effects of moderate-intensity physical activity, the participation rate among unmarried men in Korea was found to be low. Consequently, it is imperative to foster a social environment that encourages their participation in moderate-intensity physical activity. Unmarried men should be made aware of the effects of moderate-intensity physical activity participation on BMI, perceived stress, smoking and alcohol consumption so that they can be encouraged to engage in moderate-intensity physical activity. For example, the results of this study may be used to develop and apply physical activity promotion programs for unmarried men. This study is salient because it encourages healthy behaviors among unmarried Korean men and provides foundational data for the development of health management policies.

Abbreviations

BMI, body mass index; CI, confidence interval; OR, odds ratio.

Availability of data and materials

The data that support the findings of this study are available from the corresponding author upon reasonable request.

Author contributions

WS—conceptualization; methodology; data collection; formal analysis; investigation; project administration; writing–original draft preparation. WYS—methodology; data collection; writing–review and editing; visualization; validation; supervision. JK—methodology; data collection; writing–review and editing; data collection; formal analysis; investigation. All the authors contributed to the reading and approval of the submitted version.

Ethics approval and consent to participate

The 2022 Community Health Survey did not collect identifier information such as home addresses, telephone numbers, and social security numbers, ethical approval was not required and was conducted in accordance with the Declaration of Helsinki. All participants and their guardians were informed about the study procedure and its purpose and voluntarily signed an informed consent form.

Acknowledgment

Not applicable.

Funding

This research received no external funding.

Conflict of interest

The authors declare no conflict of interest. Wi-Young So is serving as one of the Editorial Board members of this journal. We declare that Wi-Young So had no involvement in the peer review of this article and has no access to information regarding its peer review. Full responsibility for the editorial process for this article was delegated to DM.

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