A micro analysis of the macro differences in refusal risk among metropolitan areas. The case of the Italian multipurpose survey

Fraboni, Romina; Rosina, Alessandro; Orsini, Sante; Baldazzi, Barbara

doi:10.1007/s10260-005-0116-8

Cited by 6 publications

(6 citation statements)

References 2 publications

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“…For each survey an independent sample was selected and final sample units (households) were drawn using a two stage stratified sample design (9,10). Strata were represented by geographical areas (Italian regions) and municipalities.…”

Section: Methodsmentioning

confidence: 99%

“…Non response rate accounted for 17% of the total sample size. It was mostly due to refusal (about 9% of the total sample size), while the list error had a percentage of 5% and non response due to other reasons counted for 3% of the sampled households (10). The present report is based on data from the last seven MHS waves: 287,336 subjects aged 20–99 years (137,234 males, 150,102 females).…”

Section: Methodsmentioning

confidence: 99%

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Prevalence of Overweight and Obesity in Italy (2001–2008): Is There a Rising Obesity Epidemic?

Micciolo

Francesco

Fantin

et al. 2010

Annals of Epidemiology

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Purpose To provide national, population-based estimates of the prevalence of overweight and obesity in the Italian population. Methods Prevalence estimates of overweight and obesity were calculated in seven waves (2001–2008) of the cross-sectional Multipurpose Household Survey organized by the Italian National Institute of Statistics which are representative of the general adult Italian population. Sampling weights were used to estimate prevalence figures as well as their standard errors. Mean-difference plot was employed to evaluate changes in the distribution of BMI across sex and age categories. Results Almost half of Italian men and about 1 out of 3 Italian women are overweight or obese. Between 2001 and 2008 the age-standardized prevalence of overweight (obesity) increased of 1.4% (1.9%) in males and of 0.4% (0.5%) in females. Mean-difference plots showed an upward shift for BMI distribution with an increasing skewness. Conclusions Obesity epidemic is one of the major issue in USA and other developed countries. However if for “epidemic” we mean that in Italy obesity is steadily rising then our data give little support to this interpretation. In fact, trends observed between 1983 and 2008 suggest that the rates of changes in the prevalence of overweight and/or obesity are not increasing.

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Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Prevalence of Overweight and Obesity in Italy (2001–2008): Is There a Rising Obesity Epidemic?

Micciolo

Francesco

Fantin

et al. 2010

Annals of Epidemiology

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“…The mean eligibility rate for the 2004 to 2005 survey was 96.45% (Commissione di valutazione della qualità dell'informazione statistica, 2008). The overall non-response rate was 17%, and was mostly attributable to refusals (approximately 9% of the total sample), whereas 5% were list errors, and other reasons for non-response accounted for 3% of the sampled households (Fraboni et al, 2005). More detailed information on quality of the execution of the ISTAT multipurpose survey, together with process details, can be found at the ISTAT website (http://siqual.istat.it/SIQual/visualizza.do?id=0071201).…”

Section: Downloaded By [Cornell University Library] At 06:48 17 Novemmentioning

confidence: 98%

Socio-Economic Determinants and Self-Reported Depressive Symptoms During Postpartum Period

et al. 2012

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The researchers' aims were to estimate the prevalence of postpartum depressive symptoms in Italy. Cross-sectional data from the survey, "Health and use of health care in Italy" were analyzed. The authors focused on 5,812 women, pregnant some time during five years before the survey. Multiple logistic regression was used to evaluate risk factors independently associated with postpartum depressive symptoms. Evaluation of seasonal trends was also performed.In the total sample, 23.5% (n = 1,365) reported having suffered postpartum depressive symptoms: 20.7% experienced baby blues, and 2.8% postpartum depression. Factors significantly associated with baby blues were, among others, living in northern or central areas (adjusted odds ratio [aOR] 1.88; 95%CI 1.57-2.15 and 1.40; 95%CI 1.20-1.63, respectively), history of depression (aOR 1.34; 95%CI 1.15-1.56), and attendance at antenatal classes (aOR 1.13; 95%CI 1.04-1.22). Factors significantly associated with postpartum depression were: anamnesis of depression (aOR 3.32; 95%CI 2.69-4.09), gaining more than 16 kg of weight during pregnancy (aOR 1.48; 95%CI 1.03-2.12), and undergoing a cesarean section (planned: aOR 1.56; 95%CI 1.05-2.29; unplanned: aOR 1.78; 95%CI 1.16-2.73). Multiparity was a protective factor both for baby blues (aOR 0.80; 95%CI 0.70-0.91), and postpartum depression (aOR 0.71; 95%CI 0.51-0.98). No clear seasonality was observed for postpartum depression, while for baby blues a certain aggregation of events was registered during the central months of the year. The authors' study highlighted variables associated with baby blues and postpartum depression to target screening for women for postpartum depressive symptoms.

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“…The Multipurpose Household Survey (MHS) is a series of cross-sectional, nationally representative health and lifestyle habits examination surveys, conducted by the Italian National Institute of Statistics (ISTAT) employing a complex probabilistic multistage design (16,17). All the individuals were interviewed face-to-face.…”

Section: Methodsmentioning

confidence: 99%

“…All the individuals were interviewed face-to-face. Nonresponse rate accounted for 17% of the total sample size (17). This study is based on data from the nine MHS waves conducted between 2001 and 2010.…”

Section: Methodsmentioning

confidence: 99%

The association between excess weight and comorbidity and self-rated health in the Italian population

Micciolo

Canal

Minniti

et al. 2013

Annals of Epidemiology

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Purpose To evaluate the association of obesity with comorbidity and with subjective health perception in a large sample representative of the Italian population and how the association differs by age and gender. Methods Cross-sectional data were obtained from nine waves of the “Multipurpose Household Survey”, conducted by the Italian National Institute of Statistics. Self-reported height and weight, six weight-associated diseases and self-rated health (SRH) were evaluated on 352,020 subjects aged 20–89 years. Comorbidity was defined as the presence of 2 or more diseases. Results The prevalence of comorbidity was significantly different between obese and normal weight subject in all age categories. SRH was worse in obese subjects than in those of normal weight; this difference persisted, at least in females, into older ages. Conclusions Obesity is associated with comorbidity and self-rated health; this association varies across ages and genders. The results found for obese subjects of a given age category were similar to (or worse than) those found for older normal weight subjects of the next age class. For comorbidity this was true both in males and in females of all the considered age categories; for SRH, this was true in particular for females and younger males.

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A micro analysis of the macro differences in refusal risk among metropolitan areas. The case of the Italian multipurpose survey

Cited by 6 publications

References 2 publications

Prevalence of Overweight and Obesity in Italy (2001–2008): Is There a Rising Obesity Epidemic?

Prevalence of Overweight and Obesity in Italy (2001–2008): Is There a Rising Obesity Epidemic?

Socio-Economic Determinants and Self-Reported Depressive Symptoms During Postpartum Period

The association between excess weight and comorbidity and self-rated health in the Italian population

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