| Literature DB >> 32357888 |
Chiara Bertoncello1, Silvia Cocchio1, Marco Fonzo2, Silvia Eugenia Bennici1, Francesca Russo3, Giovanni Putoto4.
Abstract
BACKGROUND: Mobile health clinics (MHCs) are recognized to facilitate access to healthcare services, especially in disadvantaged populations. Notwithstanding that in Europe a wide-ranging background in mobile screening units for cancer is shared, evidences about MHCs targeting also at other non-communicable diseases (NCDs) in universal health coverage systems are scarce. The aim of this study was to describe the population attracted with a MHC initiative and to assess the potential of this tool in prevention and control of NCDs.Entities:
Keywords: Health promotion; Healthcare inequalities; Mobile health units; Noncommunicable diseases; Primary health care
Year: 2020 PMID: 32357888 PMCID: PMC7195790 DOI: 10.1186/s12939-020-01174-8
Source DB: PubMed Journal: Int J Equity Health ISSN: 1475-9276
Characteristics of participants of MHC initiative compared with general population living in the same region
| Study population | Reference Population | |||||
|---|---|---|---|---|---|---|
| Sociodemographic characteristicsa | ||||||
| Female | 385 | 45,9% | 2.512.962 | 51,2% | < 0.01 | |
| Male | 454 | 54,1% | 2.394.567 | 48,8% | ||
| 0–9 y | 0 | 0,0% | 435.947 | 8,88% | < 0.01 | |
| 10–19 y | 22 | 2,6% | 466.277 | 9,50% | ||
| 20–29 y | 117 | 14,0% | 472.853 | 9,64% | ||
| 30–39 y | 78 | 9,4% | 574.591 | 11,71% | ||
| 40–49 y | 101 | 12,1% | 802.881 | 16,36% | ||
| 50–59 y | 195 | 23,4% | 758.442 | 15,45% | ||
| 60–69 y | 192 | 23,0% | 589.202 | 12,01% | ||
| 70–79 y | 96 | 11,5% | 478.430 | 9,75% | ||
| 80+ y | 33 | 4,0% | 328.906 | 6,70% | ||
| Italians | 687 | 83,4% | 4.422.052 | 90,1% | < 0.01 | |
| Foreigners | 137 | 16,6% | 485.477 | 9,9% | ||
| None or Primary School | 75 | 9,4% | 1.326.872 | 29,0% | < 0.01 | |
| Lower Secondary School | 159 | 19,9% | 1.378.977 | 30,1% | ||
| High School | 393 | 49,3% | 1.450.833 | 31,7% | ||
| Degree | 170 | 21,3% | 421.682 | 9,2% | ||
| Employed | 394 | 50,3% | 2.081.000 | 49,6% | < 0.01 | |
| Unemployed | 52 | 6,6% | 151.000 | 3,6% | ||
| Inactive | 337 | 43,0% | 1.967.000 | 46,8% | ||
| Retired | 221 | 28,2% | NA | NA | ||
| Student | 97 | 12,4% | NA | NA | ||
| Housekeeper | 19 | 2,4% | NA | NA | ||
| Health-related conditionsc | ||||||
| Smoker | 114 | 16,4% | 889 | 21,8% | < 0.01 | |
| Ex-smoker | 124 | 17,8% | 841 | 20,6% | ||
| Non-smoker | 457 | 65,8% | 2.345 | 57,6% | ||
| 104 | 14,9% | 759 | 20,1% | < 0.01 | ||
| 20 | 2,9% | 146 | 3,6% | 0.34 | ||
| 35 | 5,0% | 792 | 24,8% | < 0.01 | ||
| Underweight/Normal (< 25 kg/m2) | 314 | 45,8% | 2.402 | 59,2% | < 0.01 | |
| Overweight (25–30 kg/m2) | 242 | 35,3% | 1.260 | 31,0% | ||
| Obese (> 30 kg/m2) | 130 | 19,0% | 393 | 9,8% | ||
| Sedentary | 135 | 23,0% | 618 | 15,2% | < 0.01 | |
| Partially active | 99 | 16,8% | 1.217 | 29,9% | ||
| Active | 354 | 60,2% | 2.231 | 54,9% | ||
| None | 56 | 11,8% | 70 | 1,7% | < 0.01 | |
| 1–2 servings | 278 | 58,8% | 1.794 | 44,0% | ||
| 3+ servings | 139 | 29,4% | 2.211 | 54,3% | ||
| Yes | 152 | 80,9% | 1.145 | 86,1% | 0.15 | |
| Yes | 173 | 70,0% | 1.453 | 90,9% | < 0.01 | |
| Yes | 251 | 64,9% | 1.277 | 77,2% | < 0.01 | |
aISTAT, Italian National Institute of Statistics; data warehouse updated on 1 January 2017
bISTAT, Italian National Institute of Statistics; national census, 2011
cPASSI, national surveillance program, Veneto Region data warehouse, 2014–2017; only 18–69 years old included
donly target population included (females 50–69 y)
eonly target population included (females 25–64 y)
fonly target population included (both sexes 50–69 y)
Distribution of modifiable risk factors by baseline characteristics
| Risk factors | |||||||||
|---|---|---|---|---|---|---|---|---|---|
| Smokers | Overweight/obesity (BMI > 25) | Sedentary lifestyle | Less than 3 servings fruit/veg | ||||||
| Gender | Female | 13.1% | 0.18 | 44.1% | 26.3% | 65.9% | |||
| Male | 16.4% | 65.0% | 16.9% | 74.1% | |||||
| Age | 10–19 y | 31.8% | 14.3% | 50.0% | 75.0% | 0.05 | |||
| 20–29 y | 15.4% | 33.9% | 23.5% | 71.0% | |||||
| 30–39 y | 23.1% | 42.1% | 19.0% | 85.7% | |||||
| 40–49 y | 15.0% | 65.0% | 27.9% | 78.9% | |||||
| 50–59 y | 19.7% | 59.5% | 25.3% | 68.2% | |||||
| 60–69 y | 10.5% | 64.7% | 18.0% | 62.6% | |||||
| 70–79 y | 6.3% | 62.1% | 9.5% | 67.1% | |||||
| 80+ y | 3.0% | 60.6% | 15.4% | 79.2% | |||||
| Nationality | Italians | 13.0% | 55.5% | 0.97 | 20.0% | 0.14 | 67.9% | ||
| Foreigners | 21.2% | 55.6% | 26.5% | 83.3% | |||||
| Education | None or Primary School | 16.2% | 0.31 | 58.1% | 14.3% | 0.57 | 70.6% | 0.99 | |
| Lower Seconday School | 15.7% | 63.9% | 20.4% | 70.1% | |||||
| High School | 15.9% | 54.5% | 22.5% | 69.9% | |||||
| Degree | 10.1% | 46.4% | 21.1% | 71.4% | |||||
| Employment | Employed | 16.1% | 58.0% | 25.1% | 71.8% | 0.35 | |||
| Unemployed | 28.8% | 48.1% | 21.1% | 80.0% | |||||
| Retired | 7.3% | 63.2% | 13.8% | 64.7% | |||||
| Student | 18.6% | 34.0% | 28.6% | 71.4% | |||||
| Houskeeper | 5.3% | 52.6% | 22.2% | 71.4% | |||||
Distribution of newly diagnosed and uncontrolled conditions investigated