Publication Details

AFRICAN RESEARCH NEXUS

SHINING A SPOTLIGHT ON AFRICAN RESEARCH

medicine

Weight status, fatness and body image perception of North African immigrant women in Italy

Public Health Nutrition, Volume 19, No. 15, Year 2016

Objective To investigate the nutritional status of North African (NA) immigrant women in Italy, analysing their body size, adiposity and body image perception in comparison to Italian natives and NA residents. Design The study utilized a cross-sectional design. Anthropometric traits were directly measured and a few indices were computed as proxy measures of nutritional status and adiposity. Body image perception was assessed using silhouette drawings. ANCOVA, adjusted for age, was used to compare anthropometric traits among different groups of women and the χ 2 test to analyse differences in the prevalence of nutritional status. Setting Italy and North Africa (Tunisia, Morocco). Subjects A sample of 433 women aged 18-60 years old: NA immigrants (n 105); Italians (n 100); Tunisians (n 104); Moroccans (n 124). Results Overweight/obesity prevalence was very high in immigrants (79·8 %). Immigrants had the highest BMI value, the greatest hip circumference and mid upper-arm circumference. Their triceps skinfold thickness was significantly higher than that of Italians, but lower than that of NA residents. Conclusions NA immigrant women in Italy showed a higher incidence of overweight compared with Italians and NA residents. All groups showed a preference for a thinner body in comparison to their actual bodies and the immigrants are the most dissatisfied. Immigrants remain a high-risk group for obesity. Assessment of their body composition and health risk profile should be improved by using specific anthropometric measures that are easy to collect even in the case of large migration flows.
Statistics
Citations: 18
Authors: 5
Affiliations: 4
Identifiers
Research Areas
Noncommunicable Diseases
Study Design
Cross Sectional Study
Cohort Study
Study Locations
Multi-countries
Morocco
Tunisia
Participants Gender
Female