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Article

The Length of Residence is Associated with Cardiovascular Disease Risk Factors among Foreign-English Teachers in Korea

by
Brice Wilfried Obiang-Obounou
Department of Food Nutrition, College of Natural Sciences, Keimyung University, 1095 Dalgubeoldaero, Dalseo-gu, Daegu 42601, Korea
Behav. Sci. 2018, 8(1), 2; https://doi.org/10.3390/bs8010002
Submission received: 9 November 2017 / Revised: 8 December 2017 / Accepted: 22 December 2017 / Published: 26 December 2017
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Abstract

:
Cardiovascular disease (CVD) is a group of disorders that involve the heart and blood vessels. Acculturation is associated with CVD risk factors among immigrants in Western countries. In this study, the association between acculturation and CVD risk factors was examined among English teachers from Europe and the USA living in Korea. English teachers were defined as those who reported their profession as “English Teacher”. Only English teachers from Europe (UK, and Ireland, n = 81) and North America (Canada and USA, n = 304) were selected. The length of residence and eating Korean ethnic food were used as proxy indicators for acculturation. Gender was associated with hypertension: 17.6% of males self-reported to have the cardiovascular risk factor when compared to females (7.4%). The length of residence in Korea was associated with hypertension (p = 0.045), BMI (p = 0.028), and physical inactivity (p = 0.046). English teachers who had been residing in Korea for more than five years were more likely to report hypertension (OR = 2.16; p = 0.011), smoking (OR = 1.51; p = 0.080), and overweight/obesity (OR = 1.49; p = 0.009) than participants who had been living in Korea for less than five years. This study found evidence of the healthy immigrant effect and less favorable cardiovascular risk profiles among English teachers who have lived in Korea for over five years.

1. Introduction

Cardiovascular disease (CVD) is a group of disorders that involve the heart and blood vessels. With an estimated 17.7 million people dying from CVDs in 2015—representing 31% of all global deaths—CVD is now the leading cause of mortality worldwide [1]. While “non modifiable” risk factors such as age, gender, and family history cannot be changed, other risk factors such as hypertension (high blood pressure), diabetes, smoking, being overweight/obese, being inactive, and bad diet can be changed. The World Health Organization (WHO) reported that high blood pressure resulted in 13% of CVD deaths, while tobacco resulted in 9%, diabetes 6%, lack of exercise 6%, and obesity 5% [2]. Other than these risk factors, scholars have also identified immigration as a predictor of cardiovascular risk through the theory known as the “healthy immigrant effect” where it has been proven that newly arrived immigrants have lower rates of cardiovascular risk factors than nonimmigrants [3,4]. As new immigrants arrive in the host country, they go through a cultural transition called acculturation.
Acculturation is the process of adapting to the traditions, values and practices of a host country [5]. The length of residence, the most commonly used proxy measure of acculturation, is associated with increased prevalence of CVD risk factors among immigrants in Western countries [1,3,6,7]. Little is known about the association between the length of residence of immigrants and CVD risks among new immigrants in the Republic of Korea (Korea) as most research has mainly focused on the acculturation of Hispanic, European, and Asian immigrants in Western societies [8,9]. Korea was mostly known for its large-scale emigration, however it has recently emerged as a popular destination for immigrants [10,11]. For the first time, it is estimated that three out of every 100 individuals in Korea originated from a foreign nation [12,13]. The country is consequently transitioning from a homogenous society to a multicultural country” [11,13,14]. Until very recently, Korea has had little or no experience with large-volume immigration [8]. As a tool for advancement or survival [15], the Korean government welcomes a great number of English teachers mainly from seven countries: Canada, USA, UK, Australia, New Zealand, and South Africa.
Given the rapid increase in English teachers mainly from Canada and the US (around 5000 in public schools), this study aimed to examine the association between the duration of residence and CVD risk factors mediated by gender and the dietary acculturation of English teachers in Korea. To my knowledge, this is first research studying acculturation and CVD risk factors in Korea. The preliminary conceptualized model of the relationship between the duration of residence in Korea, dietary acculturation, and CVD risk factors is shown in Figure 1.

2. Materials and Methods

2.1. Study Population and Sample

A cross-sectional survey was carried out between August and December 2014 among the foreign-born population in Korea. Participants were selected through population-based approaches. In order to have the maximum number of foreigners for the study, posters were placed in public coffee shops, universities, and foreigner based social groups (i.e., Facebook). Before the participants answered the questionnaire, they received information from the researcher about the survey including its purpose, procedures, and confidentiality. The criteria for inclusion were: foreign-born, aged 18 and over, and residing in Korea. The exclusion criteria included aged under 18, participants residing outside of Korea, Koreans, and pregnant women. A total of 914 participants from Africa (236), Asia (140), Europe (125), North America (325), the Middle East (23), Australia (27), and South America (30) completed baseline questionnaires (Figure 2). English teachers were defined as those who reported their profession as “English Teacher”. Only participants from Canada, USA, UK, and Ireland were selected as Australia, New Zealand, and South Africa did not have a statistical representation of the sample (less than 50 people reported their profession as English teachers). The countries selected were then grouped in two categories: Europe (UK and Ireland) and North America (Canada and USA).

2.1.1. Acculturation Variables

Demographic variables included age, sex, education level (high school, bachelor’s degree or post-graduate), marital status, and occupation. The number of years residing in Korea was used as an acculturation proxy. Prior studies have found length of residence in a country to be a valid and reliable proxy of acculturation in Western countries [1,3,6,7]. The duration of residence in Korea was assessed by the question: “How long have you been living in Korea?” [16]. Responses were categorized as a three-level variable (<1 year, 1–4 years, and ≥5 years) [17]. While acculturation pertains to adopting cultural traits, dietary acculturation specifically refers to the process that occurs when members of a minority group adopt the eating patterns/food choices of their new environment [5,18]. Dietary acculturation was assessed by the question: “Do you regularly eat typical Korean food?” Eating typical Korean food was defined by answering “yes or no” to the question.

2.1.2. Cardiovascular Risk Factors

The study examined five CVD risk factors: hypertension, diabetes, current smoking, overweight/obesity, and physical inactivity. Self-reported hypertension and diabetes were ascertained as previously published [19] by the question: “Has a doctor ever told you that you have high blood pressure/diabetes?” Current smoking was defined by answering “yes” to “Do you currently smoke cigarettes?” Body mass index (BMI) was calculated based on the participant’s self-reported weight and height as weight in kilograms divided by height in meters squared (kg/m2). The World Health Organization (WHO) has recommended classifications of bodyweight that include degrees of underweight and gradations of excess weight or overweight that are associated with increased risk of some non-communicable chronic diseases [20,21]. The normal range for an adult BMI is 18.5–24.9; an adult with a BMI ranging from 25–29.9 is considered overweight whereas an adult with a BMI greater than or equal to 30 is considered as obese [22]. Physical inactivity was defined as not meeting the WHO physical activity guidelines [23]. The answer “yes” to the statement “I did less than 150 min of moderate-to-vigorous intensity physical activity (at least 10 min) in the previous week”.

2.2. Human Subjects Research Approval

The protocol was approved by the Institutional Review Board (IRB) of Keimyung University (IRB file number: 40525-201410-HR-71-02).

2.3. Statistical Analysis

Statistical analyses were conducted using IBM SPSS Statistics for Windows, Version 21.0 (Armonk, NY, USA). Univariate analyses were used to generate descriptive statistics and the Chi-square test was employed. The study used bivariate and multivariate analyses to determine the association between length of residence and CVD risk factors. All p values reported were for 2-tailed tests and a value of p < 0.05 was considered statistically significant. Reported odds ratios were based on the final logistic regression model.

3. Results

3.1. Univariate Analyses

There were 914 self-identified foreign-born participants (Figure 2).
After stratification based on country of origin and profession, 81 participants from Europe (UK and Ireland) and 304 from North America (Canada and USA) were selected for the study (Table 1). Other countries (continents) were excluded from two reasons. First, only English native speakers are allowed to teach English in Korea. Second, countries (continents) with less than 10 participants as English teachers were not significant. The average age of the sample was 33.23 years (SD = 8.50), 56% were women, and over half had lived in Korea for less than five years. The sample was composed of highly educated participants with only 2.1% said not to have completed a bachelor degree.

3.2. Cardiovascular Risk Factors

3.2.1. Gender and CVD Risk Factors

Gender was associated with hypertension: 17.6% of males self-reported to have the cardiovascular risk factor when compared to females (7.4%) (Table 2). Furthermore, a positive correlation was also observed between gender and BMI (p = 0.003) with 47.4% of the participants being overweight/obese. With 63.3% of the participants not meeting the WHO physical activity guidelines for physical activity, the strong association observed between gender and physical inactivity (p = 0.001) could be mostly attributed to the 70.3% of the female participants reporting not meeting the WHO guidelines. No association was observed between gender and diabetes and smoking. However, two of the three cases of diabetes and over 65% of smokers were male participants. Typical Korean food was not a factor between gender as over 95% of both females and males had typical Korean food as part of their diet.

3.2.2. Length of Residence and CVD Risk Factors

The length of residence in Korea was associated with hypertension (p = 0.045), BMI (p = 0.028), and physical inactivity (p = 0.046) (Table 3). There was no association with diabetes. Diabetes only featured in three cases and was not enough to determine a correlation. The absence of association between a longer residence in Korea is that smoking is habit often acquired during the teenage years. English teachers in their majority incorporated Korean diet into their food habits from their first contact with the host country.

3.2.3. Length of Residence in Multivariate Analyses

The final multivariate logistic regression model (Table 4) included hypertension, diabetes, smoking, overweight/obesity, and physical inactivity. Since over half of the participants had lived in Korea for less than five years, the length of residence was then grouped into two categories: “<5 years” and “>5 years”. As expected, the final model showed no association with diabetes and typical Korean food. On the other hand, those who had been residing in Korea for more than five years were more likely to report hypertension (OR = 2.16; p = 0.011), smoking (OR = 1.51; p = 0.080) and overweight/obesity (OR = 1.49; p = 0.009) than participants who had been living in Korea for less than five years. However, participants reporting not meeting the WHO guidelines for physical activity were 46% less likely to meet them the longer they resided in Korea (OR = 0.54; p ≤ 0.0001).

4. Discussion

Many studies have found a correlation between acculturation and CVD risk factors in Western countries [1,3,6,7]. This was the first study to examine the association between duration of residence and CVD risks factors mediated by gender and dietary acculturation of English teachers in Korea. Given the small sample used (n = 385), the fact that more than 11% reported as currently smoking and having hypertension should raise alarms about the health status of this growing population in Korea. Furthermore, overweight/obesity (47.4%) and the lack of physical activity (63.3%) are two known risk factors of cardiovascular disease [24,25].
Gender is a “non-modifiable” risk factor and cannot be changed. Although CVD remains the leading killer of both women and men worldwide, there are substantial gender differences in the prevalence of different CVDs [26]. Even though more women than men die from CVD every year, this group of diseases has often been viewed as a man’s disease [26,27]. When it comes to CVD risk factors, the results are inconsistent as race is often a factor. In the U.S., for example, the highest rate of hypertension is among black women when compared to other races [26,28]. Our study did not differentiate race; however, the findings of this study were consistent with other studies showing that men had higher levels of hypertension [29,30]. Observed gender differences in hypertension could be behavioral [30,31]; with BMI [30,32], smoking [30,33], and physical inactivity [30,32] as risk factors. The examination of Table 2 shows that CVD risk factors were predominant in men with 16.5% of men who were current smokers when compared to 6.9% for women. In addition, 47.4% of men were overweight/obese when compared to women (41.7%).
This study was in agreement with several lines of evidence that have shown that the prevalence of obesity and hypertension increased with duration of residence in the host country [7,34]. Obesity is a serious public health epidemic that this century has known; there are approximately 2 billion adults that are overweight or obese. Prior studies have found that immigrants from low- to medium-income countries who have migrated to and reside in high-income countries are more susceptible to overweight and obesity than their local counterparts [35,36]. This study showed that the phenomenon was the same from high-income countries (USA, Canada, UK, and Ireland) to another high-income country (Korea). Furthermore, among the US and Australian based migrant groups, people born in Italy, Greece or Cyprus, the former Yugoslavia, Germany, the Netherlands, Poland and other Eastern European countries recorded a higher likelihood of overweight and obesity than people born in Malaysia, Vietnam or Cambodia, the Philippines, or China [37].
Although studies have suggested that longer residence is associated with diabetes and smoking, an increasing length of residence in Korea was not significantly associated with diabetes and smoking. Only three English teachers were reported to have diabetes. This number is not sufficient to determine a correlation. Furthermore, even though two of the three reported cases of diabetes were from participants living in Korea for over five years, the lower reporting of diabetes as a CVD risk factor could be associated to the “healthy immigrant effect” [3,4].
A decrease in physical inactivity with increasing length of residence in Korea was also observed. There are two possible reasons for this inverse association. First, the English teachers may have been aware of their health condition and consequently decided to exercise more. Second, as stated by Koya, this may have been part of a “positive acculturation effect” [6]. As immigrants reside longer in the host country and acculturate to their new environment, they are more likely to adopt healthy beliefs on the benefits of exercise.
After stratification for the length of residence in Korea to <than 5 years and >5 years, the odds of smoking became 1.5 greater for participants residing in Korea for over five years (Table 4). However, it is possible that the habit could have been acquired during teenage years before migrating to Korea and not necessary attributed to acculturation. The average age of English teachers in this study was 33.23 years (SD 8.50). Out of the 43 people who reported to be smokers, twenty had lived in Korea for less than five years when compared to the 23 said to be in Korea for over five years. Nevertheless, smoking is a modifiable CVD risk factor and awareness programs aimed at English teachers in Korea are necessary.
Finally, typical Korean food was not associated with CVD risk factors as over 95% of English teachers in Korea easily went through a nutrition transition. Nutritional transition relates to the tendency in decreased consumption of healthy and nutritional foods in favor of fatty and processed foods [38,39]. The weight gain observed among English teachers was likely to be associated to poor diet choice. Korean food is generally regarded as healthy although the country has been going through a diet transition [40,41,42]. Concurrent changes in lifestyle include the rapid introduction of elements of what may be termed a Western lifestyle despite national efforts to retain elements of a traditional diet. It is therefore possible that English teachers in Korea will choose Korean food with more familiar elements as food habits are likely to be the last to change when people become acculturated.

Limitations

This study had some limitations. The majority of participants were well educated (Table 1), which limits generalization. Data on hypertension and diabetes were self-reported, which may be subject to recall bias or prone to misclassification. However, self-reported data of hypertension have been shown to be highly correlated with medical records. The results may have also been influenced by a potential cohort effect since the study did not distinguish between pre- and post-migration diagnosis of hypertension or diabetes by a medical doctor. Since self-reported hypertension was associated with duration of residence in Korea, measuring pre- and post-migration hypertension by a medical doctor would provide a more accurate association. On the other hand, the fact that the findings of this study were consistent with previous studies [7,29,30,34] lends evidence to the face validity of this study. The length of residence and eating Korean ethnic food were used as proxy indicators for acculturation. Other measures of acculturation such as language proficiency, participating in ethno-cultural networks, and celebrating holidays and cultural events were not examined. Future studies with larger samples and race specifications are needed since there might be heterogeneity within English teachers in Korea. This will provide a better understanding of how acculturation influences cardiovascular risk factors among immigrants in Korea.

5. Conclusions

Korea has been composed of a single ethnic group with no experience of large scale immigration. This study found evidence of the healthy immigrant effect and less favorable cardiovascular risk profiles among English teachers who had lived in Korea for over five years. Given that the Korean government welcomes a great number of English teachers every year, there is a need to implement awareness programs targeting CVD risk factors and promoting a healthier lifestyle for these newcomers. The same programs could be applied to other groups of immigrants such as foreign women married to Korean men as this group also face health challenges [43].

Conflicts of Interest

The author declares no conflict of interest.

References

  1. Jin, K.; Gullick, J.; Neubeck, L.; Koo, F.; Ding, D. Acculturation is associated with higher prevalence of cardiovascular disease risk-factors among Chinese immigrants in Australia: Evidence from a large population-based cohort. Eur. J. Prev. Cardiol. 2017. [Google Scholar] [CrossRef] [PubMed]
  2. Mendis, S.; Puska, P.; Norrving, B. Global Atlas on Cardiovascular Disease Prevention and Control; World Health Organization in Collaboration with the World Heart Federation and the World Stroke Organization: Geneva, Switzerland, 2011; pp. 3–18. [Google Scholar]
  3. Chiu, M.; Austin, P.C.; Manuel, D.G.; Tu, J.V. Cardiovascular Risk Factor Profiles of Recent Immigrants vs. Long-term Residents of Ontario: A Multi-ethnic Study. Can. J. Cardiol. 2012, 28, 20–26. [Google Scholar] [CrossRef] [PubMed]
  4. Mooteri, S.N.; Petersen, F.; Dagubati, R.; Pai, R.G. Duration of residence in the United States as a new risk factor for coronary artery disease (The Konkani Heart Study). Am. J. Cardiol. 2004, 93, 359–361. [Google Scholar] [CrossRef] [PubMed]
  5. Obiang-Obounou, B.W. Dietary Acculturation of Foreign Students in Daegu, Korea. J. Hum. Nutr. Food Sci. 2015, 3, 1068–1076. [Google Scholar]
  6. Koya, D.L.; Egede, L.E. Association between length of residence and cardiovascular disease risk factors among an ethnically diverse group of United States immigrants. J. Gen. Intern. Med. 2007, 22, 841–846. [Google Scholar] [CrossRef] [PubMed]
  7. Commodore-Mensah, Y.; Ukonu, N.; Obisesan, O.; Aboagye, J.K.; Agyemang, C.; Reilly, C.M.; Dunbar, S.B.; Okosun, I.S. Length of Residence in the United States is Associated With a Higher Prevalence of Cardiometabolic Risk Factors in Immigrants: A Contemporary Analysis of the National Health Interview Survey. J. Am. Heart Assoc. 2016, 5. [Google Scholar] [CrossRef] [PubMed]
  8. Kim, J.; Heo, J.; Park, S.H. The exploration of acculturation and health among immigrants from non-eastern cultures. Qual. Health Res. 2014, 24, 1138–1149. [Google Scholar] [CrossRef] [PubMed]
  9. Moon, S.-J.; Kim, C.S.; Kim, T.W. Chinese Immigrants in Korea: The Relationship between Interpersonal Communication and Acculturation. Asian Pac. Migr. J. 2014, 23, 325–344. [Google Scholar] [CrossRef]
  10. Kim, S. Soft talk, hard realities: Multiculturalism as the south korean government’s decoupled response to international migration. Asian Pac. Migr. J. 2015, 24, 51–78. [Google Scholar] [CrossRef]
  11. Im, H.; Lee, K.Y.; Lee, H.Y. Acculturation stress and mental health among the marriage migrant women in busan, south korea. Community Ment Health J. 2014, 50, 497–503. [Google Scholar] [CrossRef] [PubMed]
  12. Doo-Sub, L.S.K. Acculturation and self-rated health among foreign women in korea. Health Soc. Welfare Rev. 2014, 34, 453–483. [Google Scholar]
  13. Jun, H.-J.; Ha, S.-K. Social capital and assimilation of migrant workers and foreign wives in south korea: The case of wongok community. Habitat Int. 2015, 47, 126–135. [Google Scholar] [CrossRef]
  14. Kim, M.; Park, G.S.; Windsor, C. Marital power process of korean men married to foreign women: A qualitative study. Nur. Health Sci. 2013, 15, 73–78. [Google Scholar] [CrossRef] [PubMed]
  15. Nam, J.M. The Changing Role of English in Korea: From English as a Tool for Advancement to English for Surviva. Pan-Pac. Assoc. Appl. Linguist. 2005, 9, 227–240. [Google Scholar]
  16. Satia-Abouta, J. Dietary Acculturation: Definition, process, Assessment, and implication. Int. J. Hum. Ecol. 2003, 4, 71–86. [Google Scholar] [CrossRef]
  17. Okafor, M.T.; Carter-Pokras, O.D.; Picot, S.J.; Zhan, M. The relationship of language acculturation (English proficiency) to current self-rated health among African immigrant adults. J. Immigr. Minor. Health 2013, 15, 499–509. [Google Scholar] [CrossRef] [PubMed]
  18. Satia, J.A.; Patterson, R.E.; Kristal, A.R.; Hislop, T.G.; Yasui, Y.; Taylor, V.M. Development of scales to measure dietary acculturation among Chinese-Americans and Chinese-Canadians. J. Am. Diet. Assoc. 2001, 101, 548–553. [Google Scholar] [CrossRef]
  19. Rodriguez, F.; Hicks, L.S.; Lopez, L. Association of acculturation and country of origin with self-reported hypertension and diabetes in a heterogeneous Hispanic population. BMC Public Health 2012, 12, 768. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  20. WHO Expert Committee on Physical Status. The Use and Interpretation of Anthropometry. In Physical Status: The Use and Interpretation of Anthropometry: Report of a WHO Expert Committee; World Health Organization: Geneva, Switzerland, 1995; p. x. 452p. [Google Scholar]
  21. World Health Organization. Obesity: Preventing and Managing the Global Epidemic; World Health Organization: Geneva, Switzerland, 2000; p. xii. 253p. [Google Scholar]
  22. Nguyen, H.H.; Smith, C.; Reynolds, G.L.; Freshman, B. The effect of acculturation on obesity among foreign-born Asians residing in the United States. J. Immigr. Minor. Health 2015, 17, 389–399. [Google Scholar] [CrossRef] [PubMed]
  23. World Health Organization. WHO Guidelines Approved by the Guidelines Review Committee. In Global Recommendations on Physical Activity for Health; World Health Organization: Geneva, Switzerland, 2010. [Google Scholar]
  24. Koolhaas, C.M.; Dhana, K.; Schoufour, J.D.; Ikram, M.A.; Kavousi, M.; Franco, O.H. Impact of physical activity on the association of overweight and obesity with cardiovascular disease: The Rotterdam Study. Eur. J. Prev. Cardiol. 2017, 24, 934–941. [Google Scholar] [CrossRef] [PubMed]
  25. Lakka, T.A.; Bouchard, C. Physical activity, obesity and cardiovascular diseases. In Handbook of Experimental Pharmacology; Springer: Berlin, Germany, 2005; pp. 137–163. [Google Scholar]
  26. Mosca, L.; Barrett-Connor, E.; Kass Wenger, N. Sex/Gender Differences in Cardiovascular Disease Prevention. What a Difference a Decade Makes. Circulation 2011, 124, 2145–2154. [Google Scholar] [CrossRef] [PubMed]
  27. Thompson, L.E.; Daugherty, S.L. Gender disparities in cardiovascular disease prevention. Heart 2017. [Google Scholar] [CrossRef] [PubMed]
  28. Hertz, R.P.; Unger, A.N.; Cornell, J.A.; Saunders, E. Racial disparities in hypertension prevalence, awareness and management. Arch. Intern. Med. 2005, 165, 2098–2104. [Google Scholar] [CrossRef] [PubMed]
  29. Choi, H.M.; Kim, H.C.; Kang, D.R. Sex differences in hypertension prevalence and control: Analysis of the 2010–2014 Korea National Health and Nutrition Examination Survey. PLoS ONE 2017, 12, e0178334. [Google Scholar] [CrossRef] [PubMed]
  30. Everett, B.; Zajacova, A. Gender Differences in Hypertension and Hypertension Awareness Among Young Adults. Biodemogr. Soc. Biol. 2015, 61, 1–17. [Google Scholar] [CrossRef] [PubMed]
  31. Sandberg, K.; Ji, H. Sex differences in primary hypertension. Biol. Sex Differ. 2012, 3, 7. [Google Scholar] [CrossRef] [PubMed]
  32. Hu, G.; Barengo, N.C.; Tuomilehto, J.; Lakka, T.A.; Nissinen, A.; Jousilahti, P. Relationship of physical activity and body mass index to the risk of hypertension: A prospective study in Finland. Hypertension 2004, 43, 25–30. [Google Scholar] [CrossRef] [PubMed]
  33. Niskanen, L.; Laaksonen, D.E.; Nyyssonen, K.; Punnonen, K.; Valkonen, V.P.; Fuentes, R.; Tuomainen, T.P.; Salonen, R.; Salonen, J.T. Inflammation, abdominal obesity and smoking as predictors of hypertension. Hypertension 2004, 44, 859–865. [Google Scholar] [CrossRef] [PubMed]
  34. Singh, G.K.; Siahpush, M. Ethnic-immigrant differentials in health behaviors, morbidity and cause-specific mortality in the United States: An analysis of two national data bases. Hum. Biol. 2002, 74, 83–109. [Google Scholar] [CrossRef] [PubMed]
  35. Gadd, M.; Sundquist, J.; Johansson, S.E.; Wandell, P. Do immigrants have an increased prevalence of unhealthy behaviours and risk factors for coronary heart disease? Eur. J. Cardiovasc. Prev. Rehabil. 2005, 12, 535–541. [Google Scholar] [CrossRef] [PubMed]
  36. Agyemang, C.; Owusu-Dabo, E.; de Jonge, A.; Martins, D.; Ogedegbe, G.; Stronks, K. Overweight and obesity among Ghanaian residents in The Netherlands: How do they weigh against their urban and rural counterparts in Ghana? Public Health Nutr. 2009, 12, 909–916. [Google Scholar] [CrossRef] [PubMed]
  37. Delavari, M.; Sønderlund, A.L.; Swinburn, B.; Mellor, D.; Renzaho, A. Acculturation and obesity among migrant populations in high income countries—A systematic review. BMC Public Health 2013, 13, 458. [Google Scholar] [CrossRef] [PubMed]
  38. Steyn, N.P.; McHiza, Z.J. Obesity and the nutrition transition in Sub-Saharan Africa. Ann. N. Y. Acad. Sci. 2014, 1311, 88–101. [Google Scholar] [CrossRef] [PubMed]
  39. Popkin, B.M.; Adair, L.S.; Ng, S.W. Global nutrition transition and the pandemic of obesity in developing countries. Nutr. Rev. 2012, 70, 3–21. [Google Scholar] [CrossRef] [PubMed]
  40. Kim, S.; Moon, S.; Popkin, B.M. The nutrition transition in South Korea. Am. J. Clin. Nutr. 2000, 71, 44–53. [Google Scholar] [PubMed]
  41. Lee, M.J.; Popkin, B.M.; Kim, S. The unique aspects of the nutrition transition in South Korea: The retention of healthful elements in their traditional diet. Public Health Nutr. 2002, 5, 197–203. [Google Scholar] [CrossRef] [PubMed]
  42. Klitzke, C.J.; Anderson, L.; Walker, S.; Sikorsksi, R.; Moersfelder, B.; Richardson, A. Evidence of the Nutrition Transition in South Korea. J. Am. Diet. Assoc. 2009, 109 (Suppl. S9), A92. [Google Scholar] [CrossRef]
  43. Obiang-Obounou, B.W.; Mpelega, L.L. A critical review of the occurrence of depression among married Asian female immigrants in South Korea. Afr. J. Gend. Women Stud. 2017, 2, 101–110. [Google Scholar]
Behavsci 08 00002 g001 550
Figure 1. Preliminary conceptual model of the relationship between duration of residence in Korea, dietary acculturation, and cardiovascular disease (CVD) risk factors.
Figure 1. Preliminary conceptual model of the relationship between duration of residence in Korea, dietary acculturation, and cardiovascular disease (CVD) risk factors.
Behavsci 08 00002 g001
Behavsci 08 00002 g002 550
Figure 2. Participants flow diagram.
Figure 2. Participants flow diagram.
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Table
Table 1. Sociodemographic characteristics.
Table 1. Sociodemographic characteristics.
Total (n = 385)Europe (n = 81)North America (n = 304)
Age at interview (years)
Mean (SD)33.23 (8.50%) 133.33 (8.36%)33.20 (8.55%)
Range20–6822–6320–68
Gender
Female216 (56.0%)31 (38.3%)185 (60.7%)
Male170 (44.0%)50 (61.7%)120 (39.3%)
Education
High School8 (2.1%)3 (3.7%)5 (1.6%)
Undergraduate196 (50.8%)36 (44.4%)160 (52.5%)
Post-graduate182 (47.2%)42 (51.9%)140 (45.9%)
Marital status
Single219 (56.7%)40 (49.4%)179 (58.7%)
Married167 (43.3%)41 (50.6%)126 (41.3%)
1 Column percentage are shown in parentheses.
Table
Table 2. Association between gender and cardiovascular risk factors.
Table 2. Association between gender and cardiovascular risk factors.
CVD Risk FactorsTotalFemaleMalep Value
Hypertension
Yes46 (11.9%) 116 (7.4%)30 (17.6%)0.002
Diabetes
Yes3 (0.8%)1 (0.5%)2 (1.2%)0.433
Smoking
Yes43 (11.1%)15 (6.9%)28 (16.5%)0.003
Body Mass Index (kg/m2)
Underweight5 (1.3%)4 (1.9%)1 (0.6%)
Normal198 (51.3%)122(56.5%)76 (44.7%)0.003
Overweight/obese183 (47.4%)90 (41.7%)93 (47.4%)
Physical Inactive
Yes235 (63.3%)147 (70.3%)88 (54.3%)0.001
Typical Korean diet
Yes328 (96.5%)187 (95.9%)141 (97.2%)0.574
1 Column percentage are shown in parentheses.
Table
Table 3. Association between length of residence and cardiovascular risk factors.
Table 3. Association between length of residence and cardiovascular risk factors.
Duration of Residence in Korea
CVD risk factorsTotal<1 year1 to 4 yearsOver 5 yearsp value
Hypertension
Yes46 (11.9%)6 (9.8%)13 (8.0%)27 (16.7%)0.046
Diabetes
Yes3 (0.8%)0 (0.0%)1 (0.6%)2 (1.2%)0.621
Smoking
Yes43 (11.1%)5 (8.2%)15 (9.2%)23 (14.2%)0.262
Body Mass Index (kg/m2)
Underweight5 (1.3%)3 (4.9%)1 (0.6%)1 (0.6%)0.028
Normal198 (51.3%)34 (55.7%)89 (54.6%)75 (46.3%)
Overweight/obese183 (47.4%)24 (39.3%)73 (44.8%)86 (53.1%)
Physical Inactive
Yes235 (63.3%)39 (63.9%)112 (72.3%)84 (54.2%)0.046
Typical Korean diet
Yes328 (96.5%)48 (94.1%)137 (96.5%)143 (97.3%)0.571
Table
Table 4. Multivariate logistic regression: association between length of residence and CVD risk factors.
Table 4. Multivariate logistic regression: association between length of residence and CVD risk factors.
CVD Risk-FactorsLength of ResidenceAdjusted OR (95%CI)p Value
Hypertension<5 yearsRef
Over 5 years2.16 (1.18–3.96)0.011 *
Diabetes<5 yearsRef
Over 5 years4.33 (0.45–41.80)0.168
Smoking<5 yearsRef
Over 5 years1.51 (0.95–2.41)0.080 **
Overweight/Obesity<5 yearsRef
Over 5 years1.49 (1.11–2.01)0.009 ***
Physical Inactivity<5 yearsRef
Over 5 years0.54 (0.40–0.74)0.000 ***
Korean typical diet<5 yearsRef
Over 5 years1.47 (0.59–3.69)0.410
* p < 0.05; ** p < 0.01, *** p < 0.001.

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Obiang-Obounou, B.W. The Length of Residence is Associated with Cardiovascular Disease Risk Factors among Foreign-English Teachers in Korea. Behav. Sci. 2018, 8, 2. https://doi.org/10.3390/bs8010002

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Obiang-Obounou BW. The Length of Residence is Associated with Cardiovascular Disease Risk Factors among Foreign-English Teachers in Korea. Behavioral Sciences. 2018; 8(1):2. https://doi.org/10.3390/bs8010002

Chicago/Turabian Style

Obiang-Obounou, Brice Wilfried. 2018. "The Length of Residence is Associated with Cardiovascular Disease Risk Factors among Foreign-English Teachers in Korea" Behavioral Sciences 8, no. 1: 2. https://doi.org/10.3390/bs8010002

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