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Original Article
Associations Between Socio-demographic Characteristics and Healthy Lifestyles in Korean Adults: The Result of the 2010 Community Health Survey
So Yeon Ryu, Jong Park, Seong Woo Choi, Mi Ah Han
Journal of Preventive Medicine and Public Health 2014;47(2):113-123.
DOI: https://doi.org/10.3961/jpmph.2014.47.2.113
Published online: March 31, 2014
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Department of Preventive Medicine, Chosun University Medical School, Gwangju, Korea.

Corresponding author: So Yeon Ryu, MD, PhD. 309 Pilmun-daero, Dong-gu, Gwangju 501-759, Korea. Tel: +82-62-230-6483, Fax: +82-62-225-8293, canrsy@chosun.ac.kr
• Received: December 18, 2013   • Accepted: March 17, 2014

Copyright © 2014 The Korean Society for Preventive Medicine

This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.

  • Objectives
    Several previous studies have found that healthy behaviors substantially reduce non-communicable disease incidence and mortality. The present study was performed to estimate the prevalence of four modifiable healthy behaviors and a healthy lifestyle among Korean adults according to socio-demographic and regional factors.
  • Methods
    We analyzed data from 199 400 Korean adults aged 19 years and older who participated in the 2010 Korean Community Health Survey. We defined a healthy lifestyle as a combination of four modifiable healthy behaviors: non-smoking, moderate alcohol consumption, regular walking, and a healthy weight. We calculated the prevalence rates and odds ratios of each healthy behavior and healthy lifestyle according to socio-demographic and regional characteristics.
  • Results
    The prevalence rates were as follows: non-smoking, 75.0% (53.7% in men, 96.6% in women); moderate alcohol consumption, 88.2% (79.7% in men, 96.9% in women); regular walking, 45.0% (46.2% in men, 43.8% in women); healthy weight, 77.4% (71.3% in men, 73.6% in women); and a healthy lifestyle, 25.5% (16.4% in men, 34.6% in women). The characteristics associated with a low prevalence of healthy lifestyle were male gender, younger age (19 to 44 years of age), low educational attainment, married, living in a rural area, living in the Chungcheong, Youngnam, or Gwangwon-Jeju region, and poorer self-rated health.
  • Conclusions
    Further research should be implemented to explore the explainable factors of disparities for socio-demographic and regional characteristics to engage in the healthy lifestyle among adults.
Non-communicable diseases (NCDs) such as cardiovascular disease, cancer, and diabetes mellitus are the leading causes of morbidity and mortality worldwide [1]. In Korea, NCDs account for 53.5% of all deaths [2]. Previous studies have shown that modifiable risk behaviors, such as smoking, excessive alcohol consumption, obesity, physical inactivity, and poor dietary habits, are strongly associated with the risk of NCDs and death [3,4,5]. Conversely, individuals diagnosed with NCDs tend to engage in multiple risk behaviors-smoking, poor diet, physical inactivity, and obesity, in particular [6]. Multiple unhealthy behaviors may have a synergistic effect on the risk of NCDs [7,8,9]; thus, an understanding of the healthy behavior patterns of a population may be useful for developing health promotion and disease prevention programs.
The evidence for a beneficial effect of healthy behaviors on reducing the incidence and mortality of NCDs is overwhelming [4,5,10,11,12,13,14]. Despite the known benefits of healthy behaviors, few people engage in several healthy behaviors at once [5,11,14,15,16,17,18,19].
The rate at which people engage in healthy behavior may be an important index of public health and serve as a major predictor of the future disease burden and medical expenditures [18,20]. Although much information on the prevalence and effects of individual health behaviors is available, little is known about the prevalence of multiple healthy behaviors in Koreans.
The present study defined a healthy lifestyle as a combination of four modifiable healthy behaviors: non-smoking, moderate alcohol consumption, regular walking, and maintaining a healthy weight. A healthy weight is, to some extent, the result of good dietary habits and physical activity. Although some previous studies have not included maintaining a healthy weight as a healthy behavior [21], we consider it one of the four modifiable healthy behaviors that constitute the core of primary prevention for chronic diseases.
We estimated the prevalence of the four modifiable healthy behaviors and overall healthy lifestyle among adults in Korea using data from the 2010 Community Health Survey (CHS), a nationally representative population-based survey. Furthermore, we calculated the odds ratios (ORs) for the four modifiable healthy behaviors and a healthy lifestyle to find the associations between socio-demographic factors and healthy behaviors.
Materials
The present study used the 2010 CHS database, which is available for public use. The CHS is an annual community-wide health survey conducted in 253 regional sites in Korea. The survey was initiated in 2008 to provide population-based estimates of health indicators for the development and assessment of public health policies and programs. The CHS uses a multistage sampling design to obtain a representative sample of adults aged 19 years and older. Within each of the 253 communities, 90 primary sampling units (PSUs) corresponding to smaller geographic entities were randomly selected; this was followed by the random selection of five to eight households within the PSU and in-person interviews with all adults in those households. Households were sampled from the registry of residents [22]. The 2010 CHS database contained pooled data from 229 229 interviews. Socio-demographic or behavioral data were missing for 29 829 individuals; thus, 199 400 adults were included in the present analysis.
Variables
All of the variables were based on self-reported information. The study examined four modifiable healthy behaviors: non-smoking, moderate alcohol consumption, regular walking, and maintaining a healthy weight. The subjects were divided into two groups according to whether they engaged in each healthy behavior.
Non-smokers were defined as individuals who did not currently smoke. Moderate alcohol consumption was defined using the CHS definition of high-risk drinking [23]; thus, individuals who had more than seven (males) or five (females) drinks on the same occasion on at least 2 of the past 7 days were classified as high-risk drinkers, whereas those who had not done so were considered moderate alcohol drinkers. Regular walking was defined as participating in walking activities for at least 30 minutes 5 or more days a week. Healthy weight was defined in terms of body mass index (calculated as body weight [kg] divided by the square of height [m]) <25.0 kg/m2. The healthy lifestyle index was created by adding the number of these modifiable healthy behaviors for each participant (range, 0 to 4), and a healthy lifestyle was defined as meeting the criteria for all four modifiable healthy behaviors (healthy lifestyle index, 4).
The demographic variables collected were age, gender, marital status, educational attainment, and monthly household income. Age was classified into 19 to 44, 45 to 64, 65 to 74, and ≥75 years. Marital status was classified as married/living with partner, divorced/separated/widowed, or never married. Educational attainment was classified as primary school graduate or less, middle school graduate, high school graduate, and college graduate or higher. Monthly household income was classified as ≤1.0, 1.1 to 2.0, 2.1 to 3.0, 3.1 to 4.0, and ≥4.1 million Korean won (KRW) (1.0 million KRW is approximately 1000 US dollar). Self-rated health was classified as very good/good, fair, or poor/very poor.
Respondents were classified as living in one of five geographic regions defined according to administrative districts in Korea: Gyeongin (Seoul, Incheon, and Gyeonggi-do); Chungcheong (Chungcheongnam-do and Chungcheongbuk-do); Yeongnam (Busan, Daegu, Woolsan, Gyungsangnam-do, and Gyungsangbuk-do); Honam (Gwangju, Chollanam-do, and Chollabuk-do); and Gangwon-Jeju (Gangwon-do and Jeju-do). Each residential area was defined as urban or rural based on the town in which the respondents lived.
Statistical Analysis
Statistical analyses were conducted using SAS statistical software version 9.2 (SAS Inc., Cary, NC, USA). The survey responses were weighted to account for the complex CHS sampling design. The estimated prevalence of the four modifiable healthy behaviors and healthy lifestyle according to socio-demographic factors, health status, and regional factors were obtained using the PROC SURVEYFREQ procedure. The PROC SURVEYLOGISTIC procedure was used to perform a multiple logistic regression analysis to estimate the OR and 95% confidence intervals (CI) of an association of each healthy behavior and healthy lifestyle with socio-demographic factors, health status, and regional factors. All analyses were stratified by sex. A p-value <0.05 was deemed statistically significant.
There were statistically significant differences between men and women for all of the socio-demographic factors including age, marital status, education, income, residential area, living region, and self-rated health (p<0.001) (Table 1).
As a result of the 2010 CHS, the rates of the four modifiable healthy habits and a healthy lifestyle were 75% for currently non-smoking, 88.2% for moderate alcohol consumption, 45.0% for regular walking, 77.4% for maintaining a healthy weight, and 25.5% for overall healthy lifestyle. Significantly more women than men participated in non-smoking (96.6% vs. 53.7%), moderate alcohol consumption (96.9% vs. 79.7%), maintaining a healthy weight (73.6% vs. 71.3%), and having healthy lifestyle (34.6% vs. 16.4%) (p<0.001). However, significantly more males than females walked regularly (46.2% vs. 43.8%) (p<0.001) (Table 2).
In men, the proportion of non-smoking was the lowest among adults who were aged 19 to 44 years, were divorced/separated/widowed, were high school graduates, had a monthly household income of 2.01 to 3.0 million KRW, lived in the Gwangwon-Jeju region, and rated their health as fair. The rates of moderate alcohol consumption was the highest among adults who were aged 75 and over, never married, graduated elementary school or less, had a monthly household income of 1.0 million KRW or less, lived in rural area and the Homan region, and rated their health as poor/very poor. The proportion of persons who were practicing all four modifiable healthy behaviors (healthy lifestyle) was the lowest in those 19 to 44 years, who were divorced/separated/widowed, college graduates or higher, had a monthly household income of 2.01 to 4.0 million KRW, lived in a rural area and the Gwangwon-Jeju region, and rated their health as fair. The four individual modifiable healthy behaviors and healthy lifestyle differed significantly according to socio-demographic factors, with the exception of residential area and non-smoking, which were not significantly related (Table 3).
In women, the proportion of persons who had been practicing a healthy lifestyle was the lowest in those 75 years and over, who were divorced/separated/widowed, elementary school graduates or less, had a monthly household income under 1.0 million won, were living in a rural area and the Gwangwon-Jeju region, and rated their health as poor/very poor. Among the women, the four modifiable healthy behaviors and a healthy lifestyle showed statistically significant differences according to socio-demographic factors (Table 4).
Table 5 shows the adjusted ORs (95% CI) of four modifiable health behaviors and a healthy lifestyle according to socio-demographic factors in men. The men who were older, had a higher educational attainment, and lived in the Honam region had statistically significantly higher ORs for a healthy lifestyle compared with their reference groups. Furthermore, the men who had marital experience, lived in a rural area and in the Yeongnam or Gwongwon-Jeju region, and rated their health status as fair or poor/very poor had statistically significantly lower ORs for a healthy lifestyle than their reference groups.
Table 6 shows that the women who were older and had a monthly household income of 3.01 to 4.0 million KRW had statistically significantly higher ORs for a healthy lifestyle compared with their reference groups. In addition, women who had marital experiences, lived in a rural area and in the Chungcheong, Yeongnam, or Gwongwon-Jeju regions, and rated their health status as fair or poor/very poor had statistically significant lower ORs for a healthy lifestyle than their reference groups.
Most NCDs are associated with shared multiple risky behaviors including smoking, unhealthy diet, sedentary activity, and obesity [6]. The health effects due to multiple behaviors appear synergistically; they do not simply add to each other [7,8,9]. Several studies have reported that engagement in multiple healthy behaviors is an effective intervention strategy for prevention or management of NCDs [24,25]. To induce the population who has engaged in healthy lifestyles, it should identify the proportion of multiple healthy behaviors according to various socio-demographic characteristics.
The definition of a healthy lifestyle varies across studies but generally includes a combination of healthy lifestyle habits including having a healthy weight, not smoking, engaging in regular physical activity, eating a healthy diet, and engaging in moderate alcohol consumption [4,9,14,16,17,18,26]. However, the CHS dataset did not include information about dietary habits; thus, dietary habits were excluded from our definition of a healthy lifestyle. The CHS defines regular physical activity as any physical activity including work and leisure pursuits; a concern that this broad definition could obscure the effect of physical activity performed for fitness prompted us to replace physical activity with regular walking. Finally, we defined a healthy lifestyle as a combination of four modifiable healthy behaviors: non-smoking, moderate alcohol consumption, regular walking, and maintaining a healthy weight.
We found that about one-fourth of Korean adults had a healthy lifestyle, and the majority of Korean adults engaged in at least three modifiable healthy behaviors. We did not examine the relationships among these healthy habits; however, we found that healthy weight maintenance, moderate alcohol consumption, and non-smoking were the most common behaviors, whereas only 45% of the respondents walked regularly. However, these participation rates varied significantly by sex. Of the four modifiable health behaviors, non-smoking, moderate alcohol consumption, and maintaining a healthy weight, as well as an overall healthy lifestyle were engaged in more by the women than by the men; only walking was more common among the men. These differences may be explained by gender differences in willingness to change to a healthy lifestyle [27].
We found a higher prevalence of healthy lifestyles in Korean adults than has been reported in previous studies of Korean [19,28], American [15,16,21], and German [14] adults. However, a direct comparison cannot be made between our findings and those from other countries because the definitions of healthy lifestyle differed. Previous investigations of healthy lifestyles have included dietary habits, such as high intake of fruit and vegetables and low intake of fat or meat, and more general measures of regular physical activity instead of only walking [14,15,16,21]. Another factor contributing to the difference was the higher rates of healthy weight and regular walking than those of the other countries. Based on data from the 2005 Korean National Health and Nutrition Examination Survey, Kang et al. [19] found that the prevalence of a healthy lifestyle (three healthy behaviors such as non-smoking, moderate alcohol consumption, and regular physical activity) was 11.9% in men and 27.0% in women. Although the practice of modifiable healthy behaviors has increased since 2005, a significant number of Koreans do not engage in healthy behaviors.
The disparity in healthy behaviors across socio-demographic and regional dimensions may be shown similarly in both sexes. These disparities could be explained by societal attitudes about the importance of a healthy lifestyle, and the general lack of attention to NCDs despite statistical evidence of the benefits of a healthy lifestyle in preventing them [27]. Our results of multiple logistic regression analysis showed that the respondents least likely to engage in a healthy lifestyle included those who were younger (19 to 44 years), were or had been married or partnered (i.e., including those who were divorced/separated/widowed), had lower educational attainment, lived in a rural area, and lived in the Chungcheong, Youngnam, or Gwangwon-Jeju regions, and rated their self-reported general health as not good. Our results underscore the importance of gender and age in the adoption of a healthy lifestyle and the need to develop gender- and age-related programs to promote the uptake of modifiable healthy behaviors and a healthy lifestyle [21].
The most notable finding in this study was the variation in healthy lifestyle across regions. A higher percentage of respondents living in the Gyeongin and Honam regions had a healthy lifestyle compared with respondents living in the other regions, and the Gwangwon-Jeju region had the lowest proportion of those with healthy lifestyles in both sexes. However, this healthy lifestyle pattern is not correlated with mortality or life expectancy; for example, the Jeju region has a longer life expectancy and lower all-cause mortality, and the Honam region has a relatively shorter life expectancy and higher all-cause mortality than that of the other regions [29,30]. However, our analysis, which collapsed data across districts within each of the five large regions, may have masked the effect of the individual provinces on healthy lifestyle. Further research on regional variations in healthy lifestyle is needed.
Several previous studies have found a significant relationship between an unhealthy lifestyle and self-rated health among adults [31,32]. This is consistent with our finding of significant negative associations of self-rated health and the four modifiable healthy behaviors with healthy lifestyle among Korean adults.
The present study has several limitations. First, the data were based on self-reports and may be subject to the limitations of self-reported data [33]. Second, we could not include dietary and sleeping habits as modifiable healthy behaviors in this study. The CHS did not solicit sufficient dietary information to determine daily fruit and vegetable consumption or the frequency of consumption of other foods. Nor could we include other factors such as stress perception and sleeping habits in our definition of healthy lifestyle, because these factors were not adopted in CHS as healthy behaviors and these factors were accepted as results due to several behaviors. Third, we substituted regular walking for physical activity, the latter of which has commonly been used in other studies. Despite these limitations, we were able to investigate four major modifiable healthy behaviors and a single index of healthy lifestyle integrating these four factors for the first time in an adult Korean population. An additional strength of our study was the large-scale, nationally representative population-based dataset we analyzed.
In conclusion, we found that about one fourth of Korean adults engaged in all four modifiable lifestyle behaviors included in our study. The associated characteristics for not adopting a healthy lifestyle are male gender, younger age (19 to 44 years), low educational attainment, married status with or without living partner, living in a rural area, and living in the Chungcheong, Youngnam, or Gwangwon-Jeju region, and self-rated health as not good. Further research should be implemented to explore the explainable factors related to disparities in adults' healthy lifestyle engagement by socio-demographic and regional characteristics. Our findings, together with others illustrating the benefit of a healthy lifestyle [5,11], support the need for intervention strategies to increase healthy lifestyles and reduce the prevalence of NCD risk factors at the population level [10,16].
This study was supported by research fund of Chosun University, 2013.

The authors have no conflicts of interest with the material presented in this paper.

  • 1. Murray CJ, Lopez AD. Mortality by cause for eight regions of the world: Global Burden of Disease Study. Lancet 1997;349(9061):1269-1276. 9142060.ArticlePubMed
  • 2. Korean Statistical Information Service. Change in leading causes of death (2001-2011). cited 2013 April 13. http://kosis.kr/ups/ups_01List01.jsp?grp_no=1005&pubcode=YE&type=F. (Korean).
  • 3. Mokdad AH, Marks JS, Stroup DF, Gerberding JL. Actual causes of death in the United States, 2000. JAMA 2004;291(10):1238-1245. 15010446.ArticlePubMed
  • 4. Kurth T, Moore SC, Gaziano JM, Kase CS, Stampfer MJ, Berger K, et al. Healthy lifestyle and the risk of stroke in women. Arch Intern Med 2006;166(13):1403-1409. 16832006.ArticlePubMed
  • 5. Hu FB, Manson JE, Stampfer MJ, Colditz G, Liu S, Solomon CG, et al. Diet, lifestyle, and the risk of type 2 diabetes mellitus in women. N Engl J Med 2001;345(11):790-797. 11556298.ArticlePubMed
  • 6. Eyre H, Kahn R, Robertson RM, Clark NG, Doyle C, Hong Y, et al. Preventing cancer, cardiovascular disease, and diabetes: a common agenda for the American Cancer Society, the American Diabetes Association, and the American Heart Association. Circulation 2004;109(25):3244-3255. 15198946.ArticlePubMed
  • 7. Schlecht NF, Franco EL, Pintos J, Negassa A, Kowalski LP, Oliveira BV, et al. Interaction between tobacco and alcohol consumption and the risk of cancers of the upper aero-digestive tract in Brazil. Am J Epidemiol 1999;150(11):1129-1137. 10588073.ArticlePubMed
  • 8. Pronk NP, Wing RR. Physical activity and long-term maintenance of weight loss. Obes Res 1994;2(6):587-599. 16358405.ArticlePubMed
  • 9. Byun W, Sieverdes JC, Sui X, Hooker SP, Lee CD, Church TS, et al. Effect of positive health factors and all-cause mortality in men. Med Sci Sports Exerc 2010;42(9):1632-1638. 20142782.ArticlePubMed
  • 10. Stamler J, Stamler R, Neaton JD, Wentworth D, Daviglus ML, Garside D, et al. Low risk-factor profile and long-term cardiovascular and noncardiovascular mortality and life expectancy: findings for 5 large cohorts of young adult and middle-aged men and women. JAMA 1999;282(21):2012-2018. 10591383.ArticlePubMed
  • 11. Stampfer MJ, Hu FB, Manson JE, Rimm EB, Willett WC. Primary prevention of coronary heart disease in women through diet and lifestyle. N Engl J Med 2000;343(1):16-22. 10882764.ArticlePubMed
  • 12. King DE, Mainous AG 3rd, Geesey ME. Turning back the clock: adopting a healthy lifestyle in middle age. Am J Med 2007;120(7):598-603. 17602933.ArticlePubMed
  • 13. Khaw KT, Wareham N, Bingham S, Welch A, Luben R, Day N. Combined impact of health behaviours and mortality in men and women: the EPIC-Norfolk prospective population study. PLoS Med 2008;5(1):e12. 18184033.ArticlePubMedPMC
  • 14. Ford ES, Bergmann MM, Kroger J, Schienkiewitz A, Weikert C, Boeing H. Healthy living is the best revenge: findings from the European Prospective Investigation Into Cancer and Nutrition-Potsdam study. Arch Intern Med 2009;169(15):1355-1362. 19667296.ArticlePubMed
  • 15. Ford ES, Ford MA, Will JC, Galuska DA, Ballew C. Achieving a healthy lifestyle among United States adults: a long way to go. Ethn Dis 2001;11(2):224-231. 11455997.PubMed
  • 16. Reeves MJ, Rafferty AP. Healthy lifestyle characteristics among adults in the United States, 2000. Arch Intern Med 2005;165(8):854-857. 15851634.ArticlePubMed
  • 17. Pronk NP, Anderson LH, Crain AL, Martinson BC, O'Connor PJ, Sherwood NE, et al. Meeting recommendations for multiple healthy lifestyle factors. Prevalence, clustering, and predictors among adolescent, adult, and senior health plan members. Am J Prev Med 2004;27(2 Suppl):25-33. 15275671.ArticlePubMed
  • 18. King DE, Mainous AG 3rd, Carnemolla M, Everett CJ. Adherence to healthy lifestyle habits in US adults, 1988-2006. Am J Med 2009;122(6):528-534. 19486715.ArticlePubMed
  • 19. Kang K, Sung J, Kim CY. High risk groups in health behavior defined by clustering of smoking, alcohol, and exercise habits: National Health and Nutrition Examination Survey. J Prev Med Public Health 2010;43(1):73-83. (Korean). 20185985.ArticlePubMedPDF
  • 20. Bibbins-Domingo K, Coxson P, Pletcher MJ, Lightwood J, Goldman L. Adolescent overweight and future adult coronary heart disease. N Engl J Med 2007;357(23):2371-2379. 18057339.ArticlePubMed
  • 21. Berrigan D, Dodd K, Troiano RP, Krebs-Smith SM, Barbash RB. Patterns of health behavior in U.S. adults. Prev Med 2003;36(5):615-623. 12689807.ArticlePubMed
  • 22. Kim YT, Choi BY, Lee KO, Kim H, Chun JH, Kim SY, et al. Overview of Korean community health survey. J Korean Med Assoc 2012;55(1):74-83. (Korean).Article
  • 23. Korea Center for Disease Control and Prevention. Community health survey operational guide. Seoul: Korea Center for Disease Control and Prevention; 2008. (Korean).
  • 24. Eriksson KM, Westborg CJ, Eliasson MC. A randomized trial of lifestyle intervention in primary healthcare for the modification of cardiovascular risk factors. Scand J Public Health 2006;34(5):453-461. 16990155.ArticlePubMed
  • 25. Jones H, Edwards L, Vallis TM, Ruggiero L, Rossi SR, Rossi JS, et al. Changes in diabetes self-care behaviors make a difference in glycemic control: the Diabetes Stages of Change (DiSC) study. Diabetes Care 2003;26(3):732-737. 12610030.ArticlePubMed
  • 26. Troost JP, Rafferty AP, Luo Z, Reeves MJ. Temporal and regional trends in the prevalence of healthy lifestyle characteristics: United States, 1994-2007. Am J Public Health 2012;102(7):1392-1398. 22095344.ArticlePubMedPMC
  • 27. Sorensen M, Gill DL. Perceived barriers to physical activity across Norwegian adult age groups, gender and stages of change. Scand J Med Sci Sports 2008;18(5):651-663. 18086263.ArticlePubMed
  • 28. Lee Y, Back JH, Kim J, Byeon H, Kim S, Ryu M. Clustering of multiple healthy lifestyles among older Korean adults living in the community. Geriatr Gerontol Int 2012;12(3):515-523. 22212559.ArticlePubMed
  • 29. Korean Statistical Information Service. Age-standardized deaths rates for condensed list of 103 causes by sex and province. cited 2013 April 13. Available from: http://kosis.kr/ups/ups_01List01.jsp?grp_no=1005&pubcode=YE&type=F. (Korean).
  • 30. Statistics Korea. Average life span and life expectancy. cited 2013 April 13. Available from: https://www.index.go.kr/egams/stts/jsp/potal/stts/PO_STTS_IdxMain.jsp?idx_cd=2758&bbs=INDX_001. (Korean).
  • 31. Pisinger C, Toft U, Aadahl M, Glumer C, Jorgensen T. The relationship between lifestyle and self-reported health in a general population: the Inter99 study. Prev Med 2009;49(5):418-423. 19716843.ArticlePubMed
  • 32. Tsai J, Ford ES, Li C, Zhao G, Pearson WS, Balluz LS. Multiple healthy behaviors and optimal self-rated health: findings from the 2007 Behavioral Risk Factor Surveillance System Survey. Prev Med 2010;51(3-4):268-274. 20647019.ArticlePubMed
  • 33. Nelson DE, Holtzman D, Bolen J, Stanwyck CA, Mack KA. Reliability and validity of measures from the Behavioral Risk Factor Surveillance System (BRFSS). Soz Praventivmed 2001;46(Suppl 1):S3-S42. 11851091.PubMed
Table 1
Distributions of socio-demographic factors and self-rated health status by sex
Variables Total
Men
Women
p-value
n e% (SE) n e% (SE) n e% (SE)
Age (y) < 0.001
 19-44 81 993 52.9 (0.1) 39 071 54.5 (0.2) 42 922 51.2 (0.2)
 45-64 74 659 34.3 (0.1) 35 471 34.3 (0.2) 39 188 34.3 (0.2)
 65-74 28 594 8.8 (0.1) 13 227 8.1 (0.1) 15 367 9.5 (0.1)
 ≥75 14 154 4.0 (0.0) 5629 3.1 (0.1) 8525 4.9 (0.1)
Marital status < 0.001
 Never married 30 841 22.4 (0.1) 17 395 36.5 (0.2) 13 446 18.3 (0.2)
 Married/live with partner 138436 66.1 (0.2) 68 702 67.5 (0.2) 69 734 64.7 (0.2)
 Divorced/separated/widowed 29 982 11.5 (0.1) 7237 6.0 (0.1) 22 745 17.0 (0.1)
Education <0.001
 ≤Elementary school 51 357 15.0 (0.1) 16 711 9.5 (0.1) 34 646 20.5 (0.1)
 Middle school 23 339 9.4 (0.1) 11 127 8.7 (0.1) 12 212 10.1 (0.1)
 High school 70 292 39.5 (0.2) 36 128 41.7 (0.2) 34 164 37.4 (0.2)
 ≥ College 54 176 36.1 (0.2) 29 316 40.1 (0.2) 24 860 32.0 (0.2)
Income (million Korean won) <0.001
 ≤1.00 50 688 16.8 (0.1) 21 470 14.8 (0.1) 29 218 18.7 (0.2)
 1.01-2.00 45 817 22.0 (0.2) 22 145 22.3 (0.2) 23 672 21.7 (0.2)
 2.01-3.00 41 579 23.1 (0.2) 20 283 23.9 (0.2) 21 296 22.4 (0.2)
 3.01-4.00 22 039 13.2 (0.2) 10 655 13.6 (0.2) 11 384 12.7 (0.2)
 ≥4.01 39 277 24.9 (0.2) 18 845 25.4 (0.2) 20 432 24.4 (0.2)
Residential area <0.001
 Urban 112 455 80.9 (0.1) 52 093 80.4 (0.1) 60 362 81.3 (0.1)
 Rural 86 945 19.1 (0.1) 41 305 19.6 (0.1) 93 398 18.7 (0.1)
Region 0.41
 Gyeongin 62 532 48.1 (0.1) 28 872 47.9 (0.2) 33 660 48.2 (0.2)
 Chungcheong 27 084 9.9 (0.1) 12 857 9.9 (0.1) 14 227 9.8 (0.1)
 Yeongnam 60 254 28.1 (0.1) 28 277 28.1 (0.1) 31 977 28.1 (0.1)
 Honam 30 504 9.7 (0.1) 14 344 9.8 (0.1) 16 160 9.7 (0.1)
 Gwangwon-Jeju 19 026 4.2 (0.0) 9048 4.2 (0.1) 9978 4.2 (0.1)
General health <0.001
 Very good/good 84 593 46.7 (0.2) 44 718 51.9 (0.2) 39 875 41.6 (0.2)
 Fair 75 580 39.0 (0.2) 33 663 36.6 (0.2) 41 917 41.3 (0.2)
 Poor/very poor 39 155 14.3 (0.1) 14 977 11.5 (0.2) 24 178 17.1 (0.1)
Total 199 400 100.0 93 398 50.3 (0.1) 106 002 49.7 (0.1)

e%, estimated percentage; SE, standard error.

Table 2
Prevalence of four modifiable healthy lifestyle habits and healthy lifestyle by sex
Variables Total Men Women p-value
Non-smoking 75.0 (0.1) 53.7 (0.2) 96.6 (0.1) < 0.001
Moderate alcohol consumption 88.2 (0.1) 79.7 (0.2) 96.9 (0.1) <0.001
Regular walking 45.0 (0.2) 46.2 (0.2) 43.8 (0.2) <0.001
Maintaining a healthy weight 77.4 (0.1) 71.3 (0.2) 73.6 (0.1) <0.001
Healthy lifestyle1 25.5 (0.1) 16.4 (0.2) 34.6 (0.2) < 0.001

Data are shown as estimated percentage (standard error).

1Healthy lifestyle was defined as engagement in all four modifiable healthy behaviors (non-smoking, moderate alcohol consumption, regular walking, and maintaining a healthy weight).

Table 3
Prevalence of four modifiable healthy lifestyle habits and healthy lifestyle according to socio-demographic factors and self-rated health status in men
Variables Non-smoking Moderate alcohol consumption Regular walking Maintaining a healthy weight Healthy lifestyle1
Age (y)
 19-44 47.9 (0.3) 79.1 (0.2) 46.0 (0.3) 70.0 (0.3) 14.7 (0.2)
 45-64 56.3 (0.3) 76.8 (0.3) 45.0 (0.3) 70.5 (0.3) 15.4 (0.2)
 65-74 72.2 (0.5) 89.6 (0.4) 52.7 (0.6) 78.4 (0.5) 27.3 (0.5)
 ≥75 78.6 (0.7) 95.8 (0.3) 45.7 (0.9) 85.7 (0.6) 29.8 (0.8)
p-value < 0.001 <0.001 <0.001 <0.001 <0.001
Marital status
 Never married 50.6 (0.5) 83.5 (0.3) 52.2 (0.4) 76.6 (0.4) 19.9 (0.4)
 Married/live with partner 55.5 (0.2) 78.3 (0.2) 43.9 (0.2) 69.1 (0.2) 15.3 (0.2)
 Divorced/separated/widowed 46.8 (0.7) 78.2 (0.6) 46.1 (0.8) 73.4 (0.7) 14.3 (0.5)
p-value <0.001 <0.001 <0.001 <0.001 <0.001
Education
 ≤Elementary school 60.9 (0.5) 83.8 (0.4) 47.1 (0.5) 77.6 (0.5) 19.7 (0.4)
 Middle school 54.5 (0.6) 78.0 (0.5) 45.8 (0.6) 73.5 (0.5) 16.2 (0.5)
 High school 49.8 (0.3) 78.9 (0.3) 48.3 (0.3) 72.8 (0.3) 16.5 (0.2)
 ≥College 55.8 (0.3) 80.0 (0.3) 44.0 (0.3) 67.9 (0.3) 15.7 (0.3)
p-value <0.001 <0.001 <0.001 <0.001 <0.001
Income (million Korean won)
 ≤1.00 57.5 (0.5) 84.8 (0.3) 47.7 (0.5) 76.9 (0.4) 19.8 (0.4)
 1.01-2.00 50.8 (0.4) 80.6 (0.4) 46.9 (0.4) 72.7 (0.4) 16.0 (0.3)
 2.01-3.00 50.6 (0.4) 79.2 (0.3) 46.2 (0.4) 70.1 (0.4) 15.6 (0.3)
 3.01-4.00 53.0 (0.6) 78.0 (0.5) 45.8 (0.6) 70.1 (0.5) 15.6 (0.4)
 ≥4.01 57.2 (0.4) 77.4 (0.4) 45.0 (0.4) 68.8 (0.4) 16.2 (0.3)
p-value <0.001 <0.001 0.001 <0.001 <0.001
Residential area
 Urban 53.8 (0.2) 79.1 (0.2) 47.1 (0.2) 71.0 (0.2) 16.7 (0.2)
 Rural 53.4 (0.3) 82.1 (0.3) 42.5 (0.3) 72.6 (0.3) 15.4 (0.2)
p-value 0.34 <0.001 <0.001 0.001 <0.001
Region
 Gyeongin 54.1 (0.3) 79.5 (0.3) 50.7 (0.3) 70.3 (0.3) 17.5 (0.3)
 Chungcheong 54.0 (0.6) 81.0 (0.4) 43.0 (0.6) 73.0 (0.5) 16.3 (0.4)
 Yeongnam 52.4 (0.4) 78.4 (0.3) 39.9 (0.4) 72.5 (0.3) 14.4 (0.3)
 Honam 57.0 (0.6) 85.0 (0.4) 48.6 (0.6) 73.1 (0.5) 18.9 (0.4)
 Gwangwon-Jeju 49.3 (0.7) 75.9 (0.6) 39.5 (0.7) 67.3 (0.7) 11.9 (0.4)
p-value <0.001 <0.001 <0.001 <0.001 <0.001
General health
 Very good/good 55.3 (0.3) 81.1 (0.2) 49.4 (0.3) 73.2 (0.3) 18.7 (0.2)
 Fair 50.0 (0.3) 77.0 (0.3) 43.5 (0.3) 68.6 (0.3) 13.4 (0.2)
 Poor/very poor 58.3 (0.6) 82.5 (0.4) 40.4 (0.6) 71.7 (0.5) 16.1 (0.4)
p-value < 0.001 < 0.001 < 0.001 < 0.001 < 0.001

Data are shown as estimated percentage (standard error).

1Healthy lifestyle was defined as engagement in all four modifiable healthy behaviors (non-smoking, moderate alcohol consumption, regular walking, and maintaining a healthy weight).

Table 4
Prevalence of four modifiable healthy lifestyle habits and healthy lifestyle according to socio-demographic factors and self-rated health status in women
Variables Non-smoking Moderate alcohol consumption Regular walking Maintaining a healthy weight Healthy lifestyle1
Age (y)
 19-44 96.7 (0.1) 95.6 (0.1) 41.9 (0.3) 89.6 (0.2) 35.2 (0.3)
 45-64 96.6 (0.1) 97.6 (0.1) 47.3 (0.3) 78.0 (0.3) 35.3 (0.3)
 65-74 96.7 (0.2) 99.6 (0.1) 46.7 (0.5) 72.7 (0.5) 33.4 (0.5)
 ≥75 94.8 (0.3) 99.8 (0.0) 32.6 (0.7) 81.7 (0.6) 25.9 (0.6)
p-value < 0.001 <0.001 <0.001 <0.001 <0.001
Marital status
 Never married 95.2 (0.2) 94.3 (0.2) 47.9 (0.5) 94.3 (0.2) 41.8 (0.5)
 Married/live with partner 97.9 (0.1) 97.6 (0.1) 42.9 (0.2) 82.1 (0.2) 33.7 (0.2)
 Divorced/separated/widowed 93.0 (0.2) 96.9 (0.2) 42.7 (0.4) 77.7 (0.4) 30.2 (0.4)
p-value <0.001 <0.001 <0.001 <0.001 <0.001
Education
 ≤Elementary school 95.5 (0.2) 98.8 (0.1) 44.7 (0.4) 72.4 (0.3) 30.9 (0.3)
 Middle school 95.2 (0.2) 96.8 (0.2) 47.7 (0.6) 74.9 (0.5) 34.1 (0.6)
 High school 95.8 (0.1) 95.5 (0.1) 45.3 (0.3) 85.3 (0.2) 36.1 (0.3)
 ≥College 98.5 (0.1) 97.3 (0.1) 40.1 (0.4) 91.5 (0.2) 35.4 (0.4)
p-value <0.001 <0.001 <0.001 <0.001 <0.001
Income (million Korean won)
 ≤1.00 94.3 (0.2) 97.7 (0.1) 44.0 (0.4) 76.7 (0.3) 31.7 (0.4)
 1.01-2.00 95.4 (0.2) 96.1 (0.2) 45.0 (0.4) 81.7 (0.3) 34.1 (0.4)
 2.01-3.00 97.0 (0.1) 96.5 (0.2) 43.7 (0.4) 84.2 (0.3) 34.8 (0.4)
 3.01-4.00 97.8 (0.2) 96.9 (0.2) 44.3 (0.6) 86.2 (0.4) 36.4 (0.6)
 ≥4.01 98.4 (0.1) 97.3 (0.1) 42.3 (0.5) 88.8 (0.2) 36.1 (0.4)
p-value <0.001 <0.001 0.001 <0.001 <0.001
Residential area
 Urban 96.5 (0.1) 96.7 (0.1) 44.7 (0.2) 84.3 (0.2) 35.5 (0.2)
 Rural 97.0 (0.1) 97.7 (0.1) 39.7 (0.3) 80.7 (0.3) 30.7 (0.3)
p-value 0.001 <0.001 <0.001 <0.001 <0.001
Region
 Gyeongin 96.2 (0.1) 96.5 (0.1) 47.7 (0.3) 83.9 (0.2) 37.6 (0.3)
 Chungcheong 96.4 (0.2) 97.2 (0.2) 39.9 (0.5) 83.7 (0.4) 31.6 (0.5)
 Yeongnam 96.8 (0.1) 97.1 (0.1) 38.9 (0.3) 83.5 (0.2) 30.7 (0.3)
 Honam 98.0 (0.2) 97.9 (0.1) 45.4 (0.6) 84.1 (0.4) 37.1 (0.5)
 Gwangwon-Jeju 96.6 (0.3) 95.8 (0.3) 36.6 (0.7) 79.5 (0.6) 27.7 (0.6)
p-value <0.001 <0.001 <0.001 <0.001 <0.001
General health
 Very good/good 97.7 (0.1) 96.7 (0.1) 46.6 (0.3) 88.1 (0.2) 39.1 (0.3)
 Fair 96.3 (0.1) 96.5 (0.1) 43.0 (0.3) 83.3 (0.2) 33.3 (0.3)
 Poor/very poor 94.6 (0.2) 98.1 (0.1) 38.6 (0.4) 73.4 (0.4) 26.8 (0.4)
p-value < 0.001 < 0.001 < 0.001 < 0.001 < 0.001

Data are shown as estimated percentage (standard error).

1Healthy lifestyle was defined as engagement in all four modifiable healthy behaviors (non-smoking, moderate alcohol consumption, regular walking, and maintaining a healthy weight).

Table 5
Adjusted odds ratios (95% confidence intervals) for four modifiable healthy lifestyle habits and the healthy lifestyle in men
Variables Non-smoking Moderate alcohol consumption Maintaining a healthy weight Regular walking Healthy lifestyle1
Age (y, /19-44)
 44-64 1.79 (1.71,1.87) 1.18 (1.12,1.24) 1.26 (1.20,1.32) 1.21 (1.16,1.27) 1.72 (1.61,1.83)
 65-74 4.33 (4.04, 4.64) 3.06 (2.78, 3.37) 1.88 (1.74, 2.02) 1.78 (1.67,1.91) 4.26 (3.92, 4.64)
 ≥75 6.57 (5.95, 7.25) 8.24 (6.94, 9.78) 3.10 (2.75, 3.50) 1.40 (1.28,1.53) 5.18 (4.65, 5.79)
Marital status (/never married)
 Married/live with partner 0.82 (0.78, 0.86) 0.61 (0.58, 0.65) 0.59 (0.56, 0.63) 0.66 (0.63, 0.69) 0.49 (0.46, 0.53)
 Divorced/separated/widowed 0.52 (0.48, 0.57) 0.53 (0.48, 0.59) 0.64 (0.59, 0.70) 0.71 (0.66, 0.77) 0.40 (0.36, 0.45)
Education (/≤elementary)
 Middle school 1.04 (0.97,1.11) 0.96 (0.88,1.05) 0.93 (0.86,1.01) 0.95 (0.89,1.02) 1.00 (0.92,1.09)
 High school 1.13 (1.06,1.20) 1.13 (1.04,1.22) 0.92 (0.86, 0.99) 0.99 (0.94,1.06) 1.14 (1.06,1.23)
 ≥College 1.49 (1.39,1.59) 1.34 (1.23,1.46) 0.78 (0.73, 0.84) 0.85 (0.80, 0.91) 1.16 (1.07,1.26)
Income (million Korean won, /≤1.00)
 1.01-2.00 1.00 (0.95,1.06) 0.96 (0.89,1.03) 0.96 (0.90,1.03) 1.00 (0.95,1.06) 0.98 (0.91,1.06)
 2.01-3.00 1.04 (0.98, 1.10) 0.92 (0.85, 0.99) 0.92 (0.86, 0.98) 1.00 (0.94,1.06) 1.04 (0.96,1.12)
 3.01-4.00 1.14 (1.07,1.22) 0.86 (0.78, 0.93) 0.95 (0.88,1.02) 1.00 (0.93,1.07) 1.05 (0.96,1.16)
 ≥4.01 1.26 (1.19,1.35) 0.79 (0.73, 0.86) 0.89 (0.83, 0.95) 0.94 (0.88,1.00) 1.04 (0.96,1.13)
Residential area (/urban)
 Rural 0.96 (0.92, 0.99) 1.15 (1.10,1.21) 0.98 (0.94,1.03) 0.88 (0.84, 0.91) 0.89 (0.84, 0.93)
Region (/Gyeongin)
 Chungcheong 1.01 (0.96,1.07) 1.03 (0.97,1.10) 1.09 (1.03, 1.16) 0.74 (0.70, 0.78) 0.92 (0.86,1.00)
 Yeongnam 0.95 (0.91, 0.99) 0.91 (0.86, 0.96) 1.08 (1.03,1.13) 0.64 (0.61, 0.67) 0.79 (0.75, 0.84)
 Honam 1.13 (1.07,1.20) 1.35 (1.25,1.46) 1.08 (1.01, 1.15) 0.92 (0.87, 0.97) 1.09 (1.01,1.16)
 Gwangwon-Jeju 0.83 (0.77, 0.89) 0.74 (0.69, 0.80) 0.82 (0.76, 0.88) 0.63 (0.59, 0.68) 0.62 (0.57, 0.69)
General health (/very good/good)
 Fair 0.77 (0.74, 0.80) 0.80 (0.76, 0.84) 0.80 (0.77, 0.83) 0.79 (0.77, 0.82) 0.66 (0.63, 0.70)
 Poor/very poor 0.85 (0.80, 0.89) 0.90 (0.84, 0.97) 0.73 (0.69, 0.78) 0.63 (0.59, 0.66) 0.62 (0.58, 0.67)

1Healthy lifestyle was defined as engagement in all four modifiable healthy behaviors (non-smoking, moderate alcohol consumption, regular walking, and maintaining a healthy weight).

Table 6
Adjusted odds ratios (95% confidence intervals) for four modifiable healthy lifestyle habits and the healthy lifestyle index in women
Variables Non-smoking Moderate alcohol consumption Maintaining a healthy weight Regular walking Healthy lifestyle1
Age (y, /19-44)
 44-64 1.61 (1.39,1.87) 2.21 (1.93, 2.54) 0.83 (0.78, 0.88) 1.30 (1.24,1.36) 1.29 (1.23,1.36)
 65-74 3.24 (2.64, 3.98) 13.74 (9.67,19.73) 0.95 (0.87,1.04) 1.28 (1.19,1.37) 1.45 (1.35,1.56)
 ≥75 2.59 (2.09, 3.21) 46.77 (25.77, 84.87) 1.70 (1.51,1.92) 0.73 (0.67, 0.80) 1.10 (1.00,1.21)
Marital status (/never married)
 Married/live with partner 2.55 (2.23, 2.90) 1.86 (1.66, 2.08) 0.42 (0.38, 0.45) 0.70 (0.67, 0.74) 0.67 (0.64, 0.70)
 Divorced/separated/widowed 0.88 (0.76,1.02) 0.83 (0.70, 0.97) 0.43 (0.39, 0.47) 0.70 (0.65, 0.74) 0.60 (0.56, 0.64)
Education (/≤elementary)
 Middle school 0.84 (0.73, 0.97) 0.67 (0.55, 0.82) 1.17 (1.09,1.25) 0.94 (0.88, 0.99) 1.01 (0.95,1.08)
 High school 1.20 (1.03,1.39) 0.85 (0.69,1.05) 1.72 (1.61,1.84) 0.80 (0.76, 0.85) 1.03 (0.98,1.10)
 ≥College 3.54 (2.89, 4.32) 1.63 (1.29, 2.06) 2.69 (2.47, 2.94) 0.63 (0.59, 0.67) 0.96 (0.90,1.03)
Income (million Korean won, /≤1.00)
 1.01-2.00 1.09 (0.97,1.23) 0.83 (0.71, 0.96) 1.00 (0.94,1.06) 1.01 (0.96,1.06) 1.01 (0.96,1.06)
 2.01-3.00 1.51 (1.32,1.72) 0.89 (0.75,1.05) 1.05 (0.98, 1.12) 0.99 (0.94,1.05) 1.04 (0.98,1.10)
 3.01-4.00 1.91 (1.59, 2.29) 1.00 (0.84,1.20) 1.12 (1.03,1.22) 1.04 (0.97, 1.11) 1.10 (1.03,1.18)
 ≥4.01 2.34 (1.98, 2.76) 1.07 (0.90,1.26) 1.35 (1.26,1.46) 0.94 (0.89, 0.99) 1.05 (0.99,1.11)
Residential area (/urban)
 Rural 1.21 (1.09,1.34) 1.23 (1.09,1.38) 0.99 (0.95,1.04) 0.85 (0.82, 0.89) 0.89 (0.86, 0.93)
Region (/Gyeongin)
 Chungcheong 1.16 (0.99,1.34) 1.13 (0.94,1.35) 1.17 (1.09,1.25) 0.73 (0.69, 0.77) 0.80 (0.75, 0.84)
 Yeongnam 1.37 (1.23,1.52) 1.13 (1.01,1.26) 1.14 (1.09,1.20) 0.69 (0.66, 0.72) 0.76 (0.73, 0.79)
 Honam 2.15 (1.80, 2.57) 1.49 (1.26,1.75) 1.26 (1.17,1.35) 0.92 (0.87, 0.96) 1.03 (0.98,1.09)
 Gwangwon-Jeju 1.31 (1.10,1.55) 0.71 (0.60, 0.84) 0.93 (0.86,1.02) 0.63 (0.59, 0.68) 0.68 (0.63, 0.72)
General health (/very good/good)
 Fair 0.63 (0.57, 0.70) 0.85 (0.77, 0.94) 0.82 (0.78, 0.86) 0.83 (0.80, 0.86) 0.79 (0.76, 0.82)
 Poor/very poor 0.48 (0.42, 0.55) 0.94 (0.80,1.11) 0.62 (0.58, 0.65) 0.64 (0.61, 0.67) 0.59 (0.56, 0.62)

1Healthy lifestyle was defined as engagement in all four modifiable healthy behaviors (non-smoking, moderate alcohol consumption, regular walking, and maintaining a healthy weight).

Figure & Data

References

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      Tessa M. Pollard, Janelle M. Wagnild
      BMC Public Health.2017;[Epub]     CrossRef
    • Association of Common Variants in eNOS Gene with Primary Open Angle Glaucoma: A Meta-Analysis
      Yang Xiang, Yi Dong, Xuan Li, Xin Tang
      Journal of Ophthalmology.2016; 2016: 1.     CrossRef
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