History of weight and obesity through life and risk of benign prostatic hyperplasia View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2005-07

AUTHORS

A Zucchetto, A Tavani, L Dal Maso, S Gallus, E Negri, R Talamini, S Franceschi, M Montella, C La Vecchia

ABSTRACT

OBJECTIVE: The relation of anthropometric measures, diabetes, hypertension and hyperlipidemia with benign prostatic hyperplasia (BPH) risk was investigated. DESIGN: Hospital-based case-control study. SUBJECTS: Cases were 1369 men with histologically confirmed BPH, and controls were 1451 men below 75 y, admitted to hospital for acute non-neoplastic diseases. MEASUREMENTS: Using a structured questionnaire, trained interviewers collected information on self-reported height and weight, and measured waist and hip circumference of patients. The odds ratios (OR) and 95% confidence intervals (CI) were estimated using unconditional multiple logistic regression models. RESULTS: Compared to the corresponding lowest quartile, the OR for the highest one were 0.76 (95% CI 0.59-0.98) for body weight, 0.71 (95% CI 0.54-0.94) for waist-to-hip ratio and 0.87 (95% CI 0.70-1.09) for body mass index (BMI, kg/m(2)). Compared to a lowest lifelong BMI <20.7 kg/m(2), the OR was 1.56 (95% CI 1.25-1.95) for a lowest lifelong BMI > or =23.7 kg/m(2). The OR was 0.74 (95% CI 0.60-0.93) for a lifelong increase of BMI > or =6.1 kg/m(2), compared to <1.6 kg/m(2). No association emerged for history of diabetes, hypertension and hyperlipidemia. CONCLUSIONS: Overweight was modestly, inversely related to BPH. The hypothesis of reduced testosterone levels in obese individuals may explain the different BPH risk and need to be tested. More... »

PAGES

0802979

Identifiers

URI

http://scigraph.springernature.com/pub.10.1038/sj.ijo.0802979

DOI

http://dx.doi.org/10.1038/sj.ijo.0802979

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1005305778

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/15917855


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    "description": "OBJECTIVE: The relation of anthropometric measures, diabetes, hypertension and hyperlipidemia with benign prostatic hyperplasia (BPH) risk was investigated.\nDESIGN: Hospital-based case-control study.\nSUBJECTS: Cases were 1369 men with histologically confirmed BPH, and controls were 1451 men below 75 y, admitted to hospital for acute non-neoplastic diseases.\nMEASUREMENTS: Using a structured questionnaire, trained interviewers collected information on self-reported height and weight, and measured waist and hip circumference of patients. The odds ratios (OR) and 95% confidence intervals (CI) were estimated using unconditional multiple logistic regression models.\nRESULTS: Compared to the corresponding lowest quartile, the OR for the highest one were 0.76 (95% CI 0.59-0.98) for body weight, 0.71 (95% CI 0.54-0.94) for waist-to-hip ratio and 0.87 (95% CI 0.70-1.09) for body mass index (BMI, kg/m(2)). Compared to a lowest lifelong BMI <20.7 kg/m(2), the OR was 1.56 (95% CI 1.25-1.95) for a lowest lifelong BMI > or =23.7 kg/m(2). The OR was 0.74 (95% CI 0.60-0.93) for a lifelong increase of BMI > or =6.1 kg/m(2), compared to <1.6 kg/m(2). No association emerged for history of diabetes, hypertension and hyperlipidemia.\nCONCLUSIONS: Overweight was modestly, inversely related to BPH. The hypothesis of reduced testosterone levels in obese individuals may explain the different BPH risk and need to be tested.", 
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Download the RDF metadata as:  json-ld nt turtle xml License info

HOW TO GET THIS DATA PROGRAMMATICALLY:

JSON-LD is a popular format for linked data which is fully compatible with JSON.

curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1038/sj.ijo.0802979'

N-Triples is a line-based linked data format ideal for batch operations.

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1038/sj.ijo.0802979'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1038/sj.ijo.0802979'

RDF/XML is a standard XML format for linked data.

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1038/sj.ijo.0802979'


 

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