Genetic Epidemiology, Translational Neurogenomics, Psychiatric Genetics and Statistical Genetics Laboratories investigate the pattern of disease in families, particularly identical and non-identical twins, to assess the relative importance of genes and environment in a variety of important health problems.
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PMID
9825597
TITLE
Predictive factors of age at menopause in a large Australian twin study.
ABSTRACT
Various studies have investigated potential predictors of age at natural menopause but have produced inconsistent results. The relationship between age at natural menopause and socioeconomic, reproductive, and health behavioral factors was evaluated using longitudinal data from 5961 Australian female twins, aged 17 to 88 years at the time of study. The sample consisted of women voluntarily enrolled in the Australian Twin Registry. Failure-time analysis was the principal statistical method used to handle censored observations. Kaplan-Meier estimates showed the overall median age at natural menopause to be 51 years (95% confidence interval, 50-51). Median age at menopause was earlier for women with earlier birth year, women with late age of menarche, women who had no children, or women who were smokers. Differences in age at menopause between social, occupational, and educational groups were statistically significant (Mantel-Cox test, p < 0.001) for education, major occupational classification, combined income, and self-rated social class, with higher age at menopause for higher levels of each variable. A Cox proportional hazards model was used to estimate the odds ratio of the occurrence of natural menopause among different sub-groups, adjusted to reflect simultaneous effects of all other significant covariates. This large study provided clear trends of association in predictors relating to age at menopause. These trends may help to resolve uncertainties and conflicting results identified in studies of comparable white samples. The nature of the twin data also sets a solid background for future analyses of genetic and environmental variance components using statistical modeling or related methods.
DATE PUBLISHED
1998 Dec
HISTORY
PUBSTATUS PUBSTATUSDATE
pubmed 1998/11/24
medline 1998/11/24 00:01
entrez 1998/11/24 00:00
AUTHORS
NAME COLLECTIVENAME LASTNAME FORENAME INITIALS AFFILIATION AFFILIATIONINFO
Do KA Do K A KA Queensland Institute of Medical Research, PO Royal Brisbane Hospital, Australia.
Treloar SA Treloar S A SA
Pandeya N Pandeya N N
Purdie D Purdie D D
Green AC Green A C AC
Heath AC Heath A C AC
Martin NG Martin N G NG
INVESTIGATORS
JOURNAL
VOLUME: 70
ISSUE: 6
TITLE: Human biology
ISOABBREVIATION: Hum. Biol.
YEAR: 1998
MONTH: Dec
DAY:
MEDLINEDATE:
SEASON:
CITEDMEDIUM: Print
ISSN: 0018-7143
ISSNTYPE: Print
MEDLINE JOURNAL
MEDLINETA: Hum Biol
COUNTRY: UNITED STATES
ISSNLINKING: 0018-7143
NLMUNIQUEID: 0116717
PUBLICATION TYPE
PUBLICATIONTYPE TEXT
Journal Article
Research Support, Non-U.S. Gov't
Research Support, U.S. Gov't, P.H.S.
COMMENTS AND CORRECTIONS
GRANTS
GRANTID AGENCY COUNTRY
A07728 PHS HHS United States
AA07535 NIAAA NIH HHS United States
GENERAL NOTE
KEYWORDS
MESH HEADINGS
DESCRIPTORNAME QUALIFIERNAME
Adolescent
Adult
Age of Onset
Aged
Aged, 80 and over
Australia epidemiology
Cohort Studies epidemiology
Confidence Intervals epidemiology
Educational Status epidemiology
Female epidemiology
Humans epidemiology
Longitudinal Studies epidemiology
Menopause epidemiology
Middle Aged epidemiology
Predictive Value of Tests epidemiology
Proportional Hazards Models epidemiology
Registries epidemiology
Risk Factors epidemiology
Socioeconomic Factors epidemiology
Twins epidemiology
SUPPLEMENTARY MESH
GENE SYMBOLS
CHEMICALS
OTHER ID's