Prevalence and determinants of hormone replacement therapy in German women 1984-1995.
OBJECTIVE
To describe trends in prevalence and determinants of hormone replacement therapy (HRT) in German women.


METHODS
Three representative samples of women in Augsburg, Germany were examined in the MONICA surveys in 1984/85 (45-64 years; N=1013), 1989/90 and 1994/95 (both 45-74 years; N=1496 and 1475) by interview and anthropometry, and all drugs taken during the previous week were documented. The prevalence of HRT use was calculated by survey, age group and HRT type, and various characteristics were evaluated as determinants for any systemic HRT use by logistic regression.


RESULTS
The prevalence of HRT use in women aged 45-64 years in 1984/85, 1989/90 and 1994/95 was 3, 9% (age 45-74, 6%) and 23% (17%), respectively. In 1994/1995, positive determinants of HRT use were daily consumption of salad and vegetables, having quit smoking (vs. current smoking), regular exercise, ever having taken oral contraceptives, body mass index <25 kg/m(2) and age, and negative determinants were not drinking alcohol and education for <9 years (all P-value <0.10 in multivariate model). After multiple adjustment, HRT users were five times more likely to have participated in cancer screening and to have visited a gynaecologist >or=5 times during the previous year, and were less likely not to have seen a general practitioner or gynaecologist (all P-values <0.001).


CONCLUSIONS
HRT use increased substantially in Germany between 1984 and 1995. Women with characteristics associated with lower morbidity and mortality were more likely to use HRT, which agrees with the healthy-user phenomenon described in other countries.
Mueller
Judith E
JE
Institute of Epidemiology, GSF-National Research Centre for Environment and Health, Postfach 1129, D-85758, Neuherberg, Germany. jthmueller@aol.com
Döring
Angela
A
Heier
Margit
M
Löwel
Hannelore
H
D004032:Diet; D005260:Female; D005858:Germany; D020249:Hormone Replacement Therapy / Q000706:statistics & numerical data; D006801:Humans; D016015:Logistic Models; D008875:Middle Aged; D015995:Prevalence