| Literature DB >> 35627600 |
Giovanni Castellini1, Alessio Pellegrino2, Livio Tarchi1, Maria Calabrese3, Maria Boddi2, Valdo Ricca1, Gianfranco Costanzo4, Pietro Amedeo Modesti2.
Abstract
Body-size perception is an important factor in motivating people to lose weight. Study aim was to explore the perception of body image among first-generation Chinese migrants living in Italy. A sample of 1258 Chinese first-generation immigrants and of 285 native Italians living in Prato, Italy, underwent blood pressure measurements, blood tests (with measurement of glucose, cholesterol, and triglycerides), and anthropometric measurements. Body-size perception was investigated with Pulvers' figure rating scale using logistic or linear multivariable regression adjusted for age, gender, BMI, education and years spent in Italy. Chinese migrants had lower BMI and discrepancy score (preferred minus current body size) than Italians (p < 0.05 for both). After a logistic regression analysis, the discrepancy score remained lower in the Chinese than in the Italian cohort independently from BMI and other confounders (OR 0.68; 95%CI 0.50 to 0.92). In the Chinese cohort, female gender, BMI and years spent in Italy were positive determinants of discrepancy score (desire to be thinner), while age showed negative impact (p < 0.05 for all). Overweight is an important risk factor for diabetes, a very prevalent condition among first-generation Chinese migrants. The present study offers useful information and suggests the need for prevention programs specifically addressed to men.Entities:
Keywords: cardiovascular prevention; ethnicity; health policies; immigration; migrant; minority groups; overweight or obesity
Mesh:
Year: 2022 PMID: 35627600 PMCID: PMC9141417 DOI: 10.3390/ijerph19106063
Source DB: PubMed Journal: Int J Environ Res Public Health ISSN: 1660-4601 Impact factor: 4.614
Sociodemographic and clinical characteristics of the Italian (n = 285) and Chinese (n = 1258) participants.
| Italians | Chinese |
| |
|---|---|---|---|
|
| |||
| Age decades | <0.001 | ||
|
| 63 (22.1) | 399 (31.7) | |
|
| 108 (37.9) | 496 (39.4) | |
|
| 114 (40.0) | 363 (28.9) | |
| Women | 146 (51.2) | 710 (56.4) | 0.010 |
| Health insurance | – | ||
|
| 285 (100.0) | 294 (23.4) | |
|
| – | 226 (18.0) | |
|
| – | 734 (58.3) | |
| Education | <0.001 | ||
|
| – | 189 (15.0) | |
|
| 36 (12.6) | 556 (44.2) | |
|
| 186 (65.3) | 487 (38.7) | |
|
| 63 (22.1) | 25 (2.0) | |
| BMI ethnically specific categories | <0.001 | ||
|
| 126 (44.2) | 705 (56.0) | |
|
| 138 (48.4) | 430 (34.2) | |
|
| 21 (7.4) | 123 (9.8) | |
| Smokers | 48 (16.8) | 235 (18.7) | 0.632 |
| Alcohol use | 189 (66.3) | 569 (45.2) | <0.001 |
| Hypertension | 58 (20.4) | 266 (21.1) | 0.832 |
| Diabetes | 21 (7.4) | 157 (12.5) | 0.015 |
|
| |||
| Age (years) | 47.5 ± 7.4 | 44.3 ± 8.1 | <0.001 |
| Height (cm) | 171.2 ± 10.8 | 163.2 ± 7.8 | <0.001 |
| Weight (kg) | 74.6 ± 12.1 | 63.5 ± 10.7 | <0.001 |
| BMI (kg/m2) | 25.4 ± 3.2 | 23.8 ± 3.1 | <0.001 |
| Waist (cm) | 89.2 ± 9.8 | 82.5 ± 9.6 | <0.001 |
| Hip (cm) | 99.3 ± 6.8 | 95.5 ± 6.4 | <0.001 |
| Waist/Hip ratio | 0.898 ± 0.077 | 0.863 ± 0.070 | <0.001 |
| SBP (mmHg) | 120.4 ± 13.9 | 119.6 ± 19.0 | 0.107 |
| DBP (mmHg) | 77.7 ± 10.7 | 79.9 ± 11.7 | <0.001 |
| Glucose (mg/dL) | 103.5 ± 12.9 | 116.8 ± 31.2 | <0.001 |
| Cholesterol (mg/dL) | 190.6 ± 55.6 | 235.2 ± 64.2 | <0.001 |
| Triglycerides (mg/dL) | 163.0 ± 87.2 | 196.8 ± 107.2 | <0.001 |
RHS = full registration to Regional Health System; TPF = registration as Temporary Present Foreigner; BMI = body mass index; SBP = Systolic Blood Pressure; DBP = Diastolic Blood Pressure.
Figure 1Distribution of discrepancy score categories (negative value, 0, positive value) in Chinese migrants and native Italians by gender.
Differences between Chinese migrants and native Italians at multivariate logistic regression (adjusted for all exposures reported in the table).
| Exposures | OR (95% Cl) |
|
|---|---|---|
| Age (years) | 0.921 (0.903 to 0.939) | <0.001 |
| Gender (women) | 0.974 (0.702 to 1.350) | 0.873 |
| BMI (ethnically specific categories) | 0.824 (0.588 to 1.154) | 0.260 |
| Education (categories) | 0.135 (0.102 to 0.179) | <0.001 |
| Discrepancy Score (thinner figure) | 0.546 (0.409 to 0.730) | <0.001 |
BMI = body mass index.
Figure 2Distribution (length of the box is the difference between the 75th and 25th percentiles, ends of the box are 9-95th percentile) of discrepancy score in the Chinese cohort by gender (M, men and W, women) and BMI ethnically specific categories.
Determinants of discrepancy score (categories) in the Chinese migrant cohort at multivariate linear regression.
| Exposures | Model 1 | Model 2 | ||
|---|---|---|---|---|
|
|
|
|
| |
| Gender (women) | 0.386 (0.313 to 0.459) | <0.001 | 0.425 (0.319 to 0.531) | <0.001 |
| BMI (kg/m2) | 0.102 (0.092 to 0.112) | <0.001 | 0.101 (0.087 to 0.115) | <0.001 |
| Age (years) | −0.008 (−0.012 to −0.004) | <0.001 | −0.009 (−0.015 to −0.003) | 0.002 |
| Time in Italy (years) | - | - | 0.009 (0.000 to 0.018) | 0.042 |
|
|
|
|
BMI = body mass index. Model 1 adjusted for age, gender, BMI, education level, urban or rural area of origin in China, alcohol use, smoking habit, health perception (n = 1241 included in analysis); Model 2 adjusted also for years spent in Italy (n = 618 included in analysis).