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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