| Literature DB >> 28661463 |
Emmanuel Cohen1,2,3, Norbert Amougou4, Amandine Ponty5, Juliette Loinger-Beck6, Téodyl Nkuintchua7, Nicolas Monteillet8, Jonathan Y Bernard9, Rihlat Saïd-Mohamed10,11, Michelle Holdsworth12, Patrick Pasquet13.
Abstract
Native of rural West Cameroon, the Bamiléké population is traditionally predisposed to obesity. Bamiléké who migrated to urban areas additionally experience the nutrition transition. We investigated the biocultural determinants of obesity in Bamiléké who migrated to urban Cameroon (Yaoundé), or urban France (Paris). We conducted qualitative interviews (n = 36; 18 men) and a quantitative survey (n = 627; 266 men) of adults using two-stage sampling strategy, to determine the association of dietary intake, physical activity and body weight norms with obesity of Bamiléké populations in these three socio-ecological areas (rural Cameroon: n = 258; urban Cameroon: n = 319; urban France: n = 50). The Bamiléké valued overweight and traditional energy-dense diets in rural and urban Cameroon. Physical activity levels were lower, consumption of processed energy-dense food was frequent and obesity levels higher in new migrants living in urban Cameroon and France. Female sex, age, duration of residence in urban areas, lower physical activity and valorisation of overweight were independently associated with obesity status. This work argues in favour of local and global health policies that account for the origin and the migration trajectories to prevent obesity in migrants.Entities:
Keywords: Cameroon; France; determinants; migrants; nutrition transition; obesity
Mesh:
Year: 2017 PMID: 28661463 PMCID: PMC5551134 DOI: 10.3390/ijerph14070696
Source DB: PubMed Journal: Int J Environ Res Public Health ISSN: 1660-4601 Impact factor: 3.390
Descriptive characteristics of the population samples.
| Investigation Areas | Rural Cameroon | Urban Cameroon | Urban France |
|---|---|---|---|
| Sample size, | 12 | 12 | 12 |
| Sex, % men | 50 | 50 | 50 |
| Age, % (18–30) years | 50 | 50 | 50 |
| Location | Village of Diambou | Bamiléké neighbourhoods of the capital | Bamiléké migrant associations |
| Sample size, | 258 | 319 | 50 |
| Sex, % men | 48.8 | 43.9 | 56.0 |
| Age, Mean | 40.2 ± 15.6 | 37.3 ± 11.9 | 46.4 ± 11.8 |
| Location | Village of Diambou | Bamiléké neighbourhoods of the capital | Bamiléké migrant associations. Cultural events: weddings, baptisms, community celebrations. Cameroonian restaurants and at home |
Figure 1Perceptions of desired and ideal body sizes on masculine Body Size Scale (BSS). Adjusted for age. *** p < 0.001.
Figure 2Perceptions of desired and ideal body sizes on feminine BSS. Adjusted for age. *** p < 0.001.
Figure 3Modern high-calorie foods/dishes depending on migration profile in Cameroon. Multiple Factorial Correspondence Analysis (MCA) 1 between high-calorie foods and two migration variables. The food variables on the left hand side followed by the “−“ sign are consumed less than those in italics on the right hand side followed by the “+” sign. The variables in italic and normal text represent the two patterns of food consumption according to the migration status. The variables in bold represent the non-food variables. The encircled variables were significantly associated with migration status.
Figure 4Traditional high-calorie foods/dishes depending on migration profile and corpulence perception in Cameroon. MCA 2 between high-calorie foods, two migration variables and one corpulence perception variable. The food variables on the right hand side followed by the “−” sign are consumed less than those in italics on the left hand side followed by the “+” sign. For the corpulence perception variable, “+” means the desire to gain weight and “−“ the desire to maintain or lose weight. The variables in italic and normal text represent the two patterns of food consumption according to the migration status. The variables in bold represent the non-food variables. The encircled variables were significantly associated with migration status.
Figure 5Modern high-calorie foods/dishes depending on migration profile in France. MCA 3 between high-calorie foods and two migration variables. The food variables on the right hand side followed by the “−“ sign are consumed less than those in italics on the left hand side followed by the “+” sign. The variables in italic and normal text represent the two patterns of food consumption according to the migration status. The variables in bold represent the non-food variables. The encircled variables were significantly associated with migration status.
Figure 6Traditional high-calorie foods/dishes depending on migration profile and corpulence perception in France. MCA 4 between high-calorie foods, two migration variables and one corpulence perception variable. The food variables on the right hand side followed by the “–” sign are consumed less than those in italics on the left hand side followed by the “+” sign. The variables in italic and normal text represent the two patterns of food consumption according to the migration status. The variables in bold represent the non-food variables. The encircled variables were significantly associated with migration status.
Biocultural determinants of obesity according to the migration status.
| Migration Status | Higher-Calorie Diet | Physical Activity | Desired Body Size | |||
|---|---|---|---|---|---|---|
| Yaoundé living duration | ||||||
| 0 years | 23.2% ( | 3.0 ± 1.8 ( | 5.1 ± 1.8 ( | |||
| (1–15) years | 30.7% ( | 2.6 ± 1.6 ( | 4.9 ± 1.5 ( | |||
| (16–30) years | 42.5% ( | 2.1 ± 1.4 ( | 5.1 ± 1.7 ( | |||
| >30 years | 26.7% ( | ** | 2.0 ± 1.5 ( | *** | 5.3 ± 1.7 ( | NS |
| Paris living duration | ||||||
| (1–15) years | 41.6% ( | 0.3 ± 0.3 ( | 3.6 ± 1.2 ( | |||
| (16–30) years | 14.3% ( | 0.2 ± 0.3 ( | 3.5 ± 1.1 ( | |||
| >30 years | 16.7% ( | NS | 0.1 ± 0.2 ( | NS | 4.1 ± 1.6 ( | NS |
| Cameroon living duration | ||||||
| (1–20) years | 18.2% ( | 0.2 ± 0.3 ( | 3.6 ± 0.8 ( | |||
| (21–30) years | 27.6% ( | 0.2 ± 0.3 ( | 3.8 ± 1.3 ( | |||
| >30 years | 40.0% ( | NS | 0.2 ± 0.3 ( | NS | 3.6 ± 1.5 ( | NS |
Ancova between the three samples: ** p < 0.01; *** p < 0.001; NS: No Significant.
Anthropometric comparisons between Bamiléké according to their living area .
| Measures | Rural Cameroon | Urban Cameroon | Urban France | |
|---|---|---|---|---|
| BMI | 24.2 ± 3.8 c– | 26.9 ± 3.8 c–b | 29.4 ± 3.8 | *** |
| Waist circumference (cm) | 84.1 ± 9.1 c– | 90.3 ± 9.1 c–c | 98.8 ± 9.1 | *** |
| Hip circumference (cm) | 94.4 ± 8.4 c– | 100.6 ± 8.4 c–a | 105.5 ± 8.4 | *** |
| Waist to hip ratio | 0.9 ± 0.06 x– | 0.9 ± 0.06 x–b | 0.9 ± 0.06 | ** |
| Systolic Blood Pressure (mmHg) | 128.4 ± 19.8 x– | 131.1 ± 19.9 x–x | 133.0 ± 19.9 | NS |
| Diastolic Blood Pressure (mmHg) | 80.6 ± 13.1 b– | 85.2 ± 13.1 b–x | 86.6 ± 13.2 | ** |
| BMI | 27.0 ± 5.3 c– | 29.2 ± 5.3 c–x | 28.4 ± 5.4 | ** |
| Waist circumference (cm) | 90.1 ± 11.6 x– | 91.7 ± 11.7 x–x | 96.8 ± 11.8 | * |
| Hip circumference (cm) | 103.4 ± 12.2 c– | 108.5 ± 12.2 c–x | 107.7± 12.4 | ** |
| Waist to Hip Ratio | 0.87 ± 0.06 c– | 0.85 ± 0.06 c–c | 0.9 ± 0.06 | *** |
| Systolic Blood Pressure (mmHg) | 118.5 ± 19.4 a– | 123.2 ± 19.5 a–x | 117.7 ± 19.8 | NS |
| Diastolic Blood Pressure (mmHg) | 78.4 ± 12.3 c– | 83.5 ± 12.4 c–x | 80.3 ± 12.6 | ** |
1 Age adjusted by covariance analyses, Ancova between the three samples: * p < 0.05; ** p < 0.01; *** p < 0.001; Post-hoc analyses between the three samples: a < 0.05; b < 0.01; c < 0.001; x: NS for each side-by-side comparison; Superscripts coding: Rural Cameroon vs. Urban Cameroon; Rural Cameroon vs. Urban France; a,b,c,x Urban Cameroon vs. Urban France.
Odds ratio (OR) and 95% confidence intervals (CI) for subjects who are obese, adjusted by binomial logistic regression analysis, and compared to subjects who are not obese in the total sample (N = 608).
| Predictors | Categories | Obesity | |
|---|---|---|---|
| Sex *** | Men † | ||
| Women | |||
| Age *** | |||
| Migration status *** | No or lower urban living duration † | ||
| >25 years of Yaoundé residency | |||
| >10 years of Paris region residency | |||
| Educational level | Others † | ||
| University | 0.7 (0.5–1.2) | 0.8 (0.4–1.5) | |
| Calorie-level of diet | Others † | ||
| Higher calorie diet | 1.0 (0.7–1.4) | 1.1 (0.7–1.7) | |
| Physical activity *** | |||
| Overweight valorisation *** | Non-valorisation † | ||
| Valorisation | |||
*** Crude analysis significant effect (p < 0.05; p < 0.01 and p < 0.001 respectively). In bold, binomial logit analysis significant effects (a, b, c): p < 0.05, p < 0.01, p < 0.001 respectively. † Category taken as reference. uOR: unadjusted Odd Ratio; aOR: adjusted Odd Ratio.