Evidence map›Paper›PMID 22647342›Full record

ArticlePublic health nutrition2013

Evidence on the prevalence and geographic distribution of major cardiovascular risk factors in Italy.

Roberta Laccetti, Andrea Pota, Saverio Stranges, Claudio Falconi, Bruno Memoli, Leopoldo Bardaro, Bruna Guida

Abstract read
In one paragraph

Article in Public health nutrition, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

14 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Roberta LaccettiDepartment of Neuroscience, Physiology-Nutrition Section, University 'Federico II' of Naples, Via S. Pansini 5, 80131 Naples, Italy. robertalaccetti@hotmail.com
Andrea Pota
Saverio Stranges
Claudio Falconi
Bruno Memoli
Leopoldo Bardaro
Bruna Guida

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo assess the prevalence and geographic distribution of major cardiovascular risk factors in a large community-wide sample of the Italian population.

designA cross-sectional survey. Standardized methods were used to collect and measure cardiovascular risk factors. Data were adjusted for survey weightings. Qualitative and quantitative variables were compared with parametric and non-parametric tests, as appropriate.

settingTowns (n 193) across different Italian regions. SUBJECTS: Unselected adults (n 24 213; 12 626 men; 11 587 women) aged 18-98 years (mean age 56·9 (sd 15·3) years), who volunteered to participate in a community-wide screening programme over a 2 d period in 2007.

resultsOverall, the prevalence of major cardiovascular risk factors was: obesity, 22·7 % (women 18·9 %, men 26·1 %); overweight, 44·7 % (women 31·6 %, men 56·7 %); hypertension, 59·6 % (women 48·3 %, men 70·0 %); dyslipidaemia, 59·1 % (women 57·7 %, men 60·3 %); diabetes, 15·3 % (women 11·2 %, men 19·0 %) and smoking, 19·8 % (women 14·0 %, men 25·2 %). We found a high prevalence of unhealthy eating habits; fruit and vegetable consumption was below the recommended range in 60 % of the study population. Ninety per cent of the study population had more than one cardiovascular risk factor and 84 % had between two and five cardiovascular risk factors. There were differences among Italian macro-areas mainly for obesity, hypertension, dyslipidaemia and diabetes.

conclusionsThe study provides alarming evidence on current prevalence data for major cardiovascular risk factors in a large sample of the Italian population. Particularly, obesity and hypertension represent a relevant public health problem. There is a pressing need for effective preventive health measures which must also take into account the differences among Italian macro-areas.

Indexed as

AdolescentAdultAgedAged, 80 and overCardiovascular DiseasesCross-Sectional StudiesDyslipidemiasFemaleHumansHypertensionItalyMaleMiddle AgedOverweightPrevalenceResidence Characteristics

Identifiers

PMID22647342
PMCPMC10271305

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.