| Literature DB >> 24558396 |
Iris A Lesser1, Danijela Gasevic1, Scott A Lear2.
Abstract
Dietary acculturation, specifically the adoption of western dietary habits, may result in adverse health effects such as obesity and type 2 diabetes. Therefore, it is necessary to explore the role of acculturation in dietary patterns as well as awareness and knowledge of healthy nutrition among South Asian immigrants. This is an especially important population to target as South Asians have higher prevalence rates of type 2 diabetes and cardiovascular disease, which may be magnified with immigration. The current investigation is a sub-study of the Multi-Cultural Community Health Assessment Trial (M-CHAT). There were 207 participants of South Asian origin included in the initial study, 129 were born outside of Canada and had immigrated after the age of 18. The length of residence in Canada was used as a marker for acculturation. A questionnaire addressing perceived changes in dietary patterns, food preparation, and nutrition knowledge and awareness since immigration was used to assess dietary practices. The association between length of residence and variables related to perceived changes in dietary patterns was explored with Spearman correlation and significant associations were subsequently analyzed with ordinal logistic regression analysis adjusted for age, sex, education and body mass index. South Asian immigrants in Canada reported a variety of positive dietary practices, including an increased consumption of fruits and vegetables and an improvement in food preparation (including an increase in grilling and a decrease in deep frying when cooking). However, there was a reported increase in the consumption of convenience foods, sugar-sweetened beverages, red meat and in dining out. South Asian immigrants in Canada reported a variety of positive dietary practices including an improvement in food preparation. Future health promotion strategies should encourage cultural sensitivity in efforts to reduce the consumption of sugar-sweetened beverage, convenience foods and to encourage eating at home rather than dining out.Entities:
Mesh:
Year: 2014 PMID: 24558396 PMCID: PMC3928252 DOI: 10.1371/journal.pone.0088495
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
Socio-demographic characteristics of South Asian participants across length of residence.
| Length of Residence (years) | Quartile 1 ≤13.8 (n = 32) | Quartile 2 13.9–21.1 (n = 32) | Quartile 3 21.2–32.1 (n = 32) | Quartile 4 ≥32.2 (n = 25) | P value |
| Age (years) | 46.0±7.9 | 43.8±6.8 | 49.1±6.2 | 53.4±7.1 | <0.001 |
| Females | 12 (37.5%) | 13 (40.6%) | 20 (60.6%) | 17 (53.1%) | 0.212 |
| Maximal Educational Level Attained | 0.302 | ||||
| High school graduation or less | 5 (15.5%) | 52 (46.9%) | 13 (39.4%) | 13 (40.6%) | |
| Some post secondary education | 11 (34.4%) | 4 (12.5%) | 4 (12.1%) | 4 (12.5%) | |
| Post secondary or post graduate education | 16 (50.1%) | 13 (40.6%) | 16 (48.5%) | 15 (46.9%) | |
| Body mass index (BMI, kg/m2) | 28.9±5.4 | 29.8±4.7 | 26.5±4.2 | 27.1±3.5 | 0.012 |
Mean ± SD.
n (%).
Figure 1Percentage of participants reporting an improvement in food variables of interest indicative of positive changes since immigration (only variables with greater than 50% reported).
Figure 2Percentage of participants reporting changes in food items and preparation since immigration (only variables with greater than 30% reported).
Open bars represent negative dietary changes.
Significant associations between length of residence and food variables of interest.
| Spearman Correlation | P value | |
| Stir Fry or BBQ | 0.201 | 0.027 |
| Baking/Grilling | 0.302 | 0.001 |
| Microwaving | 0.181 | 0.047 |
| Red Meat Consumption | 0.201 | 0.027 |
Ordinal regression results of the association between acculturation and dietary items after adjustment for age, sex, education and body mass index.
| Stir Fry or BBQ | ||
| Length of Residence (years): | Odds Ratio (95% C.I) | P value |
| ≤13.8 | Reference | |
| 13.9–21.1 | 3.71 (1.19, 11.52) | 0.024 |
| 21.2–32.1 | 2.26 (0.85, 5.99) | 0.101 |
| ≥32.2 | 1.01 (0.40, 2.57) | 0.988 |
All analyses were adjusted for age, sex, education and BMI.