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Titolo:
Assignment to menopausal status and estimation of age at menopause for women with missing or invalid data - A probabilistic approach with weighting factors in a large-scale epidemiological study
Autore:
Kroke, A; Schulz, M; Hoffmann, K; Bergmann, MM; Boeing, H;
Indirizzi:
German Inst Human Nutr, Dept Epidemiol, D-14558 Bergholz Rehbrucke, Germany German Inst Human Nutr Bergholz Rehbrucke Germany D-14558 rucke, Germany
Titolo Testata:
MATURITAS
fascicolo: 1, volume: 40, anno: 2001,
pagine: 39 - 46
SICI:
0378-5122(20011031)40:1<39:ATMSAE>2.0.ZU;2-B
Fonte:
ISI
Lingua:
ENG
Soggetto:
BREAST-CANCER; NATURAL MENOPAUSE; FSH-LEVELS; HYSTERECTOMY; RISK; DISEASE; BIAS;
Keywords:
menopausal status; epidemiological studies; probabilistic approach;
Tipo documento:
Article
Natura:
Periodico
Settore Disciplinare:
Clinical Medicine
Life Sciences
Citazioni:
24
Recensione:
Indirizzi per estratti:
Indirizzo: Kroke, A German Inst Human Nutr, Dept Epidemiol, Arthur Scheunert Allee 114-116, D-14558 Bergholz Rehbrucke, Germany German Inst Human Nutr Arthur Scheunert Allee 114-116 Bergholz Rehbrucke Germany D-14558
Citazione:
A. Kroke et al., "Assignment to menopausal status and estimation of age at menopause for women with missing or invalid data - A probabilistic approach with weighting factors in a large-scale epidemiological study", MATURITAS, 40(1), 2001, pp. 39-46

Abstract

Objective: Gynaecologic surgeries and hormone medication increasingly interfere with the concept of determining menopausal status based on self-reported data about the last menstrual period-an approach frequently applied in epidemiological studies. This analysis compared different approaches of menopausal status determination, including a probabilistic approach that was developed to reduce misclassification of menopausal status. Methods: Interview and questionnaire data relating to hormone status from about 16 000 German women were used to determine menopausal status using different approaches: menses based, age based, self-assessment based, and a probabilistic approach. Results: Applying strict menses-based criteria, 29.1% of the women were found to be with undetermined menopausal status. The probabilistic approach was applied to determine menopausal status and age at menopause for these women. The proposed approach uses the current age of the women with undetermined menopausal status, and the relative age-dependent frequencies of pre- or postmenopausal status among those with natural menopausal status to calculate weighting factors, which represent the probabilities of being pre- and postmenopausal of each woman previously undetermined. Correspondingly, the missing age at menopause was estimated with the same probabilistic approach. Applying various approaches to determine menopausal status, the ratio of pre- to postmenopausal women differed considerably, ranging from 1.03to 1.61. In addition, considerable differences were observed with respect to the number of missing values for both menopausal status and age at menopause. Conclusion: The probabilistic approach allowed to estimate menopausalstatus and age at menopause with the advantage that all available information from the entire study population and from the individual is used. (C) 2001 Elsevier Science Ireland Ltd.

ASDD Area Sistemi Dipartimentali e Documentali, Università di Bologna, Catalogo delle riviste ed altri periodici
Documento generato il 19/07/18 alle ore 13:26:35