| Literature DB >> 35564765 |
Abstract
The number of foreign students is increasing worldwide, and they suffer from acculturation to different environments or cultures. This pilot study examined the difference in overweight or obesity, changes in dietary habits after studying abroad and sleep quality according to acculturative degree among 225 Asian foreign students in South Korea. Most subjects (61.8%) experienced a low acculturative degree. The change in dietary habits after studying abroad showed a significant difference according to the acculturative degree (p < 0.001); however, there were no differences observed in sleep quality (p = 0.090) and prevalence of overweight or obesity according to acculturative degree (p = 0.101). Interestingly, a difference in the risk for being overweight or obese by sleep quality after being stratified into groups according to acculturative degree was observed. Among the groups with a low acculturative degree, subjects reporting poor sleep quality had a 2.875-fold (95% CI = 1.167-7.080) higher risk of being overweight or obese than those reporting good sleep quality. However, the risk of being overweight or obese was not different among the high acculturative group regardless of their sleep quality. The results showed that the degree of acculturation could influence the risk of being overweight or obese according to sleep quality among Asian foreign students.Entities:
Keywords: acculturative degree; dietary habits; foreign students; obesity; overweight; sleep pattern
Mesh:
Year: 2022 PMID: 35564765 PMCID: PMC9102587 DOI: 10.3390/ijerph19095370
Source DB: PubMed Journal: Int J Environ Res Public Health ISSN: 1660-4601 Impact factor: 4.614
General characteristics according to acculturative degree.
| General Characteristics | Total ( | HA ( | LA ( | |
|---|---|---|---|---|
| Gender (men) | 48.1 | 50.6 | 46.5 | - |
| Age (years) | 26.58 ± 5.22 | 26.58 ± 5.22 | 26.29 ± 5.80 | - |
| Period of stay in South Korea (months) | 25.05 ± 0.97 | 29.79 ± 17.59 | 22.13 ± 12.02 | 0.001 |
| Academic course (≥graduate school course) | 58.4 | 70.8 | 55.7 | <0.001 |
| Korean conversational ability (≥middle class) | 27.9 | 44.9 | 17.4 | <0.001 |
| Subjective health status | 2.03 ± 0.62 | 1.96 ± 0.50 | 2.07 ± 0.69 | 0.190 |
| Acculturative stress | 84.36 ± 16.90 | 80.94 ± 15.14 | 86.48 ± 17.63 | 0.017 |
| Perceived discrimination | 16.94 ± 4.64 | 15.93 ± 3.42 | 17.56 ± 5.17 | 0.010 |
| Homesickness | 10.80 ± 2.85 | 10.47 ± 2.63 | 11.01 ± 2.97 | 0.174 |
| Perceived hate | 10.59 ± 3.37 | 9.81 ± 2.74 | 11.08 ± 3.64 | 0.005 |
| Fear | 9.16 ± 2.52 | 8.91 ± 2.81 | 9.31 ± 2.76 | 0.268 |
| Culture shock | 7.89 ± 2.24 | 7.74 ± 2.34 | 7.99 ± 2.17 | 0.431 |
| Guilt | 3.89 ± 1.57 | 3.67 ± 1.40 | 4.03 ± 1.66 | 0.067 |
| Miscellaneous | 25.08 ± 5.54 | 24.40 ± 5.12 | 25.50 ± 5.77 | 0.167 |
| Smoking (smoker) | 20.6 | 21.3 | 20.1 | 0.980 |
| Alcohol consumption (drinker) | 79.4 | 83.1 | 77.1 | 0.316 |
| BMI (kg/m2) | 23.52 ± 7.65 | 24.85 ± 8.54 | 22.71 ± 6.95 | 0.052 |
| Prevalence of overweight and obesity | 25.3 | 31.5 | 21.5 | 0.101 |
Values represent the means ± SD or % (n). * p values were calculated using a generalized linear model adjusted for age and gender. HA, High acculturative degree (acculturative degree ≥ 3); LA, Low acculturative degree (acculturative degree < 3).
Changes in dietary habits after studying abroad according to acculturative degree.
| Changes in Dietary Habits | Total ( | HA ( | LA ( | |
|---|---|---|---|---|
| I. Change in environment of dietary consumption | 52.90 ± 14.73 | 50.56 ± 15.10 | 54.34 ± 14.36 | 0.058 |
| The number of food purchases has increased. | 5.34 ± 3.47 | 5.34 ± 3.87 | 5.35 ± 3.22 | 0.974 |
| The number of cooked meals has increased. | 3.42 ± 3.55 | 3.29 ± 3.87 | 3.51 ± 3.35 | 0.669 |
| The range of food options has been reduced. | 5.40 ± 3.04 | 4.24 ± 3.29 | 6.11 ± 2.64 | <0.001 |
| There is no one who helps make food. | 5.97 ± 3.46 | 5.84 ± 3.59 | 6.04 ± 3.38 | 0.731 |
| The time to eat has decreased. | 4.49 ± 2.91 | 4.16 ± 3.15 | 4.69 ± 2.74 | 0.177 |
| There are difficulties in communicating when buying food. | 3.34 ± 2.64 | 2.64 ± 2.57 | 3.77 ± 2.59 | 0.001 |
| I can’t eat what I like. | 5.31 ± 3.08 | 3.93 ± 2.77 | 6.16 ± 2.96 | <0.001 |
| I started to eat mainly Korean food. | 7.22 ± 2.56 | 7.75 ± 2.56 | 6.89 ± 2.51 | 0.011 |
| There is an economic problem. | 6.90 ± 2.69 | 7.36 ± 2.83 | 6.61 ± 2.57 | 0.036 |
| When choosing food, the influence of a friend is great. | 5.52 ± 3.44 | 6.01 ± 3.26 | 5.21 ± 3.53 | 0.070 |
| II. Dietary problems | 38.48 ± 16.52 | 34.07 ± 15.85 | 41.20 ± 16.39 | 0.001 |
| The irregular hours of work and rest lead to irregular mealtimes. | 5.43 ± 3.27 | 5.42 ± 3.42 | 5.43 ± 3.19 | 0.971 |
| I can’t eat well because I don’t have time. | 3.07 ± 3.09 | 2.08 ± 2.67 | 3.68 ± 3.18 | <0.001 |
| I only eat when I’m hungry. | 3.55 ± 3.23 | 2.81 ± 2.87 | 4.01 ± 3.37 | 0.006 |
| The number of binge dietary times depending on the taste of the food has increased. | 5.02 ± 3.22 | 3.82 ± 3.02 | 5.77 ± 3.13 | <0.001 |
| The number of meals skipped to lose weight has increased. | 2.65 ± 3.08 | 2.67 ± 3.28 | 2.64 ± 2.95 | 0.847 |
| The number of times breakfast is skipped to binge lunch has increased. | 3.07 ± 2.76 | 2.36 ± 2.59 | 3.51 ± 3.06 | 0.004 |
| I tend to drink heavily. | 2.21 ± 2.76 | 2.28 ± 2.73 | 2.17 ± 2.78 | 0.864 |
| My vegetable intake has decreased. | 3.91 ± 3.00 | 3.46 ± 3.05 | 4.18 ± 2.94 | 0.065 |
| My meat intake has increased. | 3.95 ± 3.17 | 3.01 ± 3.20 | 4.53 ± 3.01 | <0.001 |
| I purchase and eat fast food often. | 5.62 ± 3.26 | 6.18 ± 3.18 | 5.28 ± 3.28 | 0.029 |
| III. Reason for an unbalanced dietary habits | 20.26 ± 8.94 | 16.43 ± 6.44 | 22.62 ± 9.45 | <0.001 |
| I think it is because I eat alone when I am in Korea, and I eat with family at home. | 4.59 ± 3.01 | 5.31 ± 2.87 | 4.15 ± 3.02 | 0.004 |
| I think this is because I can buy food easily in my home country, but it is difficult to buy food in Korea. | 4.25 ± 2.88 | 2.75 ± 2.44 | 5.17 ± 2.74 | <0.001 |
| I think it’s because Korea doesn’t have access to food that I eat every day in my home country. | 3.39 ± 2.70 | 2.13 ± 2.08 | 4.17 ± 2.76 | <0.001 |
| I think this is because I can cook and eat food in my home country, but I can’t eat the same foods in Korea. | 4.23 ± 3.35 | 3.15 ± 2.81 | 4.90 ± 3.50 | <0.001 |
| I think it’s mainly because I eat out. | 3.80 ± 2.87 | 3.09 ± 2.58 | 4.24 ± 2.96 | 0.003 |
| Total score of dietary habits | 111.63 ± 28.36 | 101.07 ± 26.67 | 118.16 ± 27.47 | <0.001 |
Values represent means ± SD. * p values were calculated using a generalized linear model adjusted for age and gender. HA, High acculturative degree (acculturative degree ≥ 3); LA, Low acculturative degree (acculturative degree < 3).
Sleep pattern according to acculturative degree.
| Total ( | HA ( | LA ( | ||
|---|---|---|---|---|
| Components of PSQI | ||||
| 1. Sleep quality | 1.18 ± 0.65 | 1.12 ± 0.54 | 1.22 ± 0.71 | 0.296 |
| 2. Sleep latency | 1.12 ± 0.81 | 0.97 ± 0.68 | 1.22 ± 0.87 | 0.012 |
| 3. Sleep duration | 0.79 ± 0.84 | 0.83 ± 0.80 | 0.77 ± 0.86 | 0.574 |
| 4. Habitual sleep efficiency | 0.45 ± 0.76 | 0.40 ± 0.64 | 0.48 ± 0.83 | 0.419 |
| 5. Sleep disturbances | 0.96 ± 0.54 | 0.93 ± 0.58 | 0.98 ± 0.51 | 0.510 |
| 6. Sleeping medication | 0.19 ± 0.51 | 0.21 ± 0.49 | 0.17 ± 0.52 | 0.667 |
| 7. Daytime dysfunction | 1.20 ± 0.77 | 1.07 ± 0.70 | 1.28 ± 0.80 | 0.033 |
| Global PSQI score | 5.90 ± 2.73 | 5.54 ± 2.57 | 6.12 ± 2.82 | 0.090 |
| Sleep duration (hours) | 6.61 ± 1.12 | 6.59 ± 0.89 | 6.62 ± 1.25 | 0.838 |
Values represent means ± SD. * p values were calculated using a generalized linear model adjusted for age and gender. HA, High acculturative degree (acculturative degree ≥ 3); LA, Low acculturative degree (acculturative degree < 3).
Figure 1The adjusted odds ratios (ORs) and 95% confidence intervals (95% CIs) for overweight and obesity according to acculturative degree and various factors. (A) Stratified by sleep quality [good sleep quality (PSQI ≤ 5) as a reference]; (B) stratified by changes in dietary habits after studying abroad [good dietary habits (≥median value 115.00 score) as a reference]. The adjusted odds ratios were calculated using multinomial logistic regression for age and gender.