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1.
Respir Med ; 102(11): 1568-74, 2008 Nov.
Article in English | MEDLINE | ID: mdl-18657959

ABSTRACT

Little is known on the long-term validity of reference equations used in the calculation of FEV(1) and FEV(1)/FVC predicted values. This survey assessed the prevalence of chronic airflow obstruction in a population-based sample and how it is influenced by: (i) the definition of airflow obstruction; and (ii) equations used to calculate predicted values. Subjects aged 45 or more were recruited in health prevention centers, performed spirometry and fulfilled a standardized ECRHS-derived questionnaire. Previously diagnosed cases and risk factors were identified. Prevalence of airflow obstruction was calculated using: (i) ATS-GOLD definition (FEV(1)/FVC<0.70); and (ii) ERS definition (FEV(1)/FVC

Subject(s)
Forced Expiratory Volume/physiology , Pulmonary Disease, Chronic Obstructive/diagnosis , Spirometry/methods , Vital Capacity/physiology , Aged , Algorithms , Epidemiologic Methods , Female , Humans , Male , Middle Aged , Practice Guidelines as Topic , Pulmonary Disease, Chronic Obstructive/epidemiology , Pulmonary Disease, Chronic Obstructive/physiopathology , Spirometry/standards
2.
Bull Cancer ; 89(11): 957-62, 2002 Nov.
Article in French | MEDLINE | ID: mdl-12495883

ABSTRACT

The aim of the study was to evaluate mammography use and indications (diagnosis or screening) among 19,253 women aged 35 to 75 attending a health screening centre. The data were collected by a self-administered questionnaire completed after by an interview with a nurse. Mammography use is frequent in women attending a health screening centre, even before the age of 50: 79.1% had undergone at least one mammography during their life and for 47.3% a screen had been performed within the last three years. Nevertheless mammography was only used by 65.2% of the women aged 50-69 years, target age group of the screening programme. A logistic regression model adjusting for multiple variables was used to examine factors associated with women who underwent a screen within the last three years. Women more likely to be screened were aged 50-69 (vs age 35-49: OR=3.1), used regular gynaecological care (OR=4.5), had a family history of breast cancer (OR=1.45), had in their district a breast cancer screening campaign (OR=1.93). The study indicated that women under 50 years of age with a family history of breast cancer and women aged 70 and over were under-screened. When a campaign for breast cancer screening was organised in the district the screening rates were higher in the target population (71,4% vs 60,1%) although only 64% of the women reported having attended. Current recommendations for breast cancer screening should be reviewed in the light of these results.


Subject(s)
Mammography/statistics & numerical data , Mass Screening/statistics & numerical data , Adult , Age Distribution , Age Factors , Aged , Female , France , Humans , Middle Aged
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