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Table 2 Comparison between Italian and foreign born population resident in Italy (age 18–69) interviewed in the surveillance system PASSI (2008–2013; n = 228,201) by selected health-related variables and country of origin (showing only those with the better and worse situation)

From: Migrant health in Italy: a better health status difficult to maintain—country of origin and assimilation effects studied from the Italian risk factor surveillance data

  Italian* CI Migrants* CI Better % CI Conditional OR** CI Worse % CI Conditional OR** IC
Perception of health status (good + very good) 67.7% (68.0%) 67.4–67.9% (67.8–68.2%) 76.4% (73.2%) 75.3–77.4% (71.9–74.6%) Asians 80.3% (77.8%) 76.6–83.7% (73.8–81.9%) 1.62 1.27–2.07 Italians 67.7% (68.0%) 67.4–67.9% (67.8–68.2%)
Symptom of depression 6.7% (6.7%) 6.6–6.8% (6.5–6.8%) 6.0% (6.1%) 5.5–6.6% (5.3–6.8%) Asians 3.1% (3.1%) 1.9–5.0% (1.4–4.8%) 0.44 0.27–0.72 North Africans 8.2% (10.1%) 6.4–10.4% (6.5–13.6%) 1.18 0.90–1.55
Prevalence of smokers 28.4% (28.5%) 28.2–28.6% (28.3–28.8%) 28.8% (29.1%) 27.7–29.9% (27.8–30.4%) Sub-Saharan Africans 12.1% (12.7%) 9.2–15.7% (8.6–16.8%) 0.25 0.18–0.34 Foreigners from EU 39.9% (41.7%) 37.8–42.0% (38.8–44.5%) 1.6 1.46–1.76
Prevalence of higher risk alcohol drinker 16.8% (16.8%) 16.6–17.0% (16.6–17.0%) 14.5% (14.4%) 13.7–15.4% (13.4–15.3%) North Africans 6.6% (5.7%) 5.1–8.6% (4.0–7.5%) 0.3 0.23–0.39 Americans 21.9% (22.7%) 18.8–25.4% (19.1–26.4%) 1.62 1.34–1.96
Prevalence of overweight and obese 42.1% (41.7%) 41.8–42.3% (41.5–42.0%) 39.2% (44.1%) 38.0–40.4% (42.6–45.6%) Asians 31.4% (30.2%) 27.5–35.5% (25.9–34.6%) 0.66 0.53–0.83 North Africans 44.9% (50.1%) 41.6–48.3% (46.0–54.3%) 1.1 0.94–1.29
Prevalence of a correct attendance to preventive cervical cancer screening 76.7% (76.5%) 76.4–77.1% (76.1–76.9%) 70.0% (69.3%) 68.3–71.6% (67.3–71.2%) Americans 80.7% (79.4%) 76.5–84.4% (74.9–83.9%) 1.31 1.02–1.70 Asians 52.2% (51.7%) 45.5–58.8% (43.9–59.5%) 0.36 0.27–0.48
  1. *In brackets are prevalence standardized by gender and age
  2. **Conditional ORs are computed through a logistic regression including the following variables: gender, age, economic status (difficulties to get at the end of the month). Italian have been taken for reference in ORs computation