| Literature DB >> 32375227 |
Xiyao Liu1, Haoyue Chen1, Qianling Zhou1, Huifeng Zhang2, Phensiri Asawasirisap3, John Kearney3.
Abstract
International students may have difficulties in dietary acculturation. This study aimed to evaluate the knowledge, attitude and practices (KAP) of diet and health during the acculturation of international students. A cross-sectional survey was conducted among a convenience sample of 473 international students in Dublin. Knowledge, attitude and practices towards diet and health were evaluated by a questionnaire with open- and closed-ended questions. It was found that 45.3% of participants had a broad concept of a healthy diet, while few knew its specific contents. Furthermore, 75.3% of participants could explain the term functional food, and among them, 62.1% knew the appropriate definition of functional food. Participants who perceived their health very good and excellent were more likely to believe that their health status was determined by their own control. The consumption rate of functional food varied among regions and South and Central America students had the highest usage rate (44.5%) and Asian students had the highest daily usage rate (52.7%). Participants who were younger, single, from African and South and Central American countries, or who were in Ireland for less than one year were more likely to report dietary change after immigration. In conclusion, insufficient knowledge and self-perception towards diet and health as well as unhealthily dietary changes exist among international students living in Dublin.Entities:
Keywords: dietary acculturation; dietary change; dietary perceptions; international student
Year: 2020 PMID: 32375227 PMCID: PMC7246780 DOI: 10.3390/ijerph17093182
Source DB: PubMed Journal: Int J Environ Res Public Health ISSN: 1660-4601 Impact factor: 3.390
Socio-demographic and health characteristics of the study participants.
| Participant Characteristic | Respondents | |
|---|---|---|
|
| % | |
| Gender | ||
| Male | 203 | 43.0 |
| Female | 269 | 57.0 |
| Age (years) | ||
| 18–26 | 387 | 60.9 |
| >26 | 184 | 39.1 |
| Education | ||
| Primary/Secondary | 93 | 19.8 |
| Tertiary | 377 | 80.2 |
| Marital status | ||
| Never married | 389 | 82.8 |
| Married/had been married | 81 | 17.2 |
| Region * | ||
| Asia | 144 | 31.3 |
| Europe | 141 | 30.7 |
| Africa | 52 | 11.3 |
| South and Central America | 123 | 26.7 |
| Duration in Ireland | ||
| <1 year | 255 | 53.9 |
| ≥1 year | 218 | 46.1 |
| Health status | ||
| Suffering from chronic diseases | 60 | 15.1 |
| Health | 337 | 84.9 |
* Asia includes: China (including Hong Kong), India, Japan, Korea, Malaysia, Mongolia, Syria and Vietnam. Europe includes: Belarus, Croatia, Estonia, France, Germany, Hungary, Italy, Latvia, Novaya Zemlya, Poland, Russia, Serbia, Slovak Republic, Spain, Switzerland and Ukraine. Africa includes: Egypt, Madagascar, Mauritius and South Africa. South and Central America includes: Argentina, Bolivia, Brazil, Chile, Colombia, Cuba, Jamaica and Mexico.
Figure 1Ten categories of “healthy diet” defined by participants (n = 369). Reduce fat: includes less saturated fat, less fatty food, fast food or junk food. Good quality food: includes fresh, natural, organic food. More fiber: includes more cereal, brown bread; less white bread. Healthy eating habits: includes regular and proper meal time, proper amount of food.
Self-perceived health status classified by geographical region.
|
| Poor | Fair | Good | Very Good | Excellent | ||
|---|---|---|---|---|---|---|---|
| Total participants | 465 | 6 (1.3) | 42 (9.0) | 213 (45.8) | 154 (33.1) | 50 (10.8) | |
| Geographical region | |||||||
| Asia | 143 | 2 (1.4) | 18 (12.6) | 88 (61.5) | 28 (19.6) | 7 (4.9) | <0.001 |
| Europe | 139 | 0.0 (0) | 6 (4.4) | 48 (34.5) | 69 (49.6) | 16 (11.5) | |
| Africa | 50 | 2 (4.0) | 8 (16.0) | 23 (46.0) | 13 (26.0) | 4 (8.0) | |
| South and Central America | 120 | 2 (1.7) | 9 (7.5) | 47 (39.2) | 42 (35.0) | 20 (16.6) | |
* Pearson Chi-Square analysis, relationship was deemed to be statistically significant when p < 0.05.
Attitude towards Health Locus of Control (HLC) classified by geographical region.
| HLC-1 a | HLC-2 b | HLC-3 c | ||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
|
| Dis-agree (%) | Agree (%) |
| Dis-agree (%) | Agree (%) |
| Dis-agree (%) | Agree (%) | ||||
| Total | 426 | 78.4 | 21.6 | 423 | 76.6 | 23.4 | 437 | 9.2 | 90.8 | |||
| Geographical region | ||||||||||||
| Asia | 123 | 60.2 | 39.8 | <0.001 | 120 | 66.7 | 33.3 | <0.001 | 126 | 19.0 | 81.0 | <0.001 |
| Europe | 132 | 91.7 | 8.3 | 134 | 85.1 | 14.9 | 136 | 3.7 | 96.3 | |||
| Africa | 42 | 73.8 | 26.2 | 42 | 59.5 | 40.5 | 48 | 2.1 | 97.9 | |||
| South and Central America | 120 | 85.8 | 14.2 | 118 | 83.9 | 16.1 | 117 | 6.8 | 93.2 | |||
a HLC-1, “good health is mainly determined by chance, and there is not much that I can do to influence my long term health”. b HLC-2, “my health is mainly controlled my outside influences over which I have little or no control”. c HLC-3, “my health is under my own control, and I can improve my long-term health by adopting a healthy lifestyle”. * Pearson Chi-Square analysis, relationship was deemed to be statistically significant when p < 0.05. (Disagree included strongly and tend to disagree; agree included strongly and tend to agree; don’t know was excluded).
Figure 2Participants’ interpretation of functional food (n = 356).
Functional food consumption classified by geographical region.
|
| Nonconsumer (%) | Consumer (%) | ||
|---|---|---|---|---|
| Total participants | 445 | 64.7 | 35.3 | |
| Region | ||||
| Asia | 139 | 58.3 | 41.7 | 0.001 |
| Europe | 140 | 74.3 | 25.7 | |
| Africa | 47 | 78.7 | 21.3 | |
| South and Central America | 119 | 55.5 | 44.5 |
* Significance of relationships calculated by Pearson Chi-square analysis. Relationships were deemed to be statistically significant when p < 0.05.
Functional food consumption frequency classified by geographical region.
|
| Frequency of Use | |||
|---|---|---|---|---|
| Daily (%) | 1–5 Times per Week (%) | |||
| Total participants | 155 | 46.5 | 53.5 | |
| Region | ||||
| Asia | 55 | 52.7 | 47.3 | 0.593 |
| Europe | 37 | 37.8 | 62.2 | |
| Africa | 9 | 44.4 | 55.6 | |
| South and Central America | 54 | 46.3 | 53.7 | |
* Significance of relationships calculated by exact probability analysis. Relationships were deemed to be statistically significant when p < 0.05.
Perceived dietary change of international students in Ireland.
|
| No Change | Yes, it Has Changed | Don’t Know | ||
|---|---|---|---|---|---|
| % | |||||
| Total participants | 464 | 26.3 | 66.8 | 6.9 | |
| Age (years) | |||||
| 18–26 | 282 | 20.6 | 73.0 | 6.4 | 0.001 |
| >26 | 180 | 35.6 | 56.7 | 7.8 | |
| Marital status | |||||
| Never married | 380 | 23.7 | 69.7 | 6.6 | 0.020 |
| Married/had been married | 81 | 38.3 | 54.3 | 7.4 | |
| Region | |||||
| Asia | 141 | 39.0 | 50.4 | 10.6 | <0.001 |
| Europe | 139 | 30.9 | 61.9 | 7.2 | |
| Africa | 51 | 11.8 | 84.3 | 3.9 | |
| South and Central America | 120 | 10.8 | 85.8 | 3.3 | |
| Duration in Ireland | |||||
| <1 year | 253 | 20.2 | 73.5 | 6.3 | 0.003 |
| ≥1 year | 211 | 33.6 | 58.8 | 7.6 | |
* Significance of relationships calculated by Pearson Chi-square analysis. Relationships were deemed to be statistically significant when p < 0.05.
Figure 3Nine groups of main dietary changes among international students in Ireland (n = 278). More fast food/junk food/fatty food: includes not fresh food, unhealthy food, bad quality food, artificial food and processed food. Different food: includes more bread/sandwich/potato, less staple food (e.g., rice, bean, and pasta) in home country. Irregular meal time and amount: includes change in time, amount and type of food in breakfast, lunch and dinner. Others: includes less meat, more fruit and vegetables, less alcohol, less fat, less amount of food eaten.