An event history analysis of age at last menstrual period: correlates of natural and surgical menopause among midlife Wisconsin women

Shinberg, Diane S.

doi:10.1016/s0277-9536(97)10085-5

Cited by 45 publications

(36 citation statements)

References 26 publications

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“…The significant association between lower levels of education and earlier ages at menopause is consistent with other studies (Luoto et al 1994;Mishra et al 2010;Shinberg 1998;Sievert and Hautaniemi 2003), as is the association between increasing parity and later ages at menopause (Cramer et al 1995;Gold et al 2001). This study is, to our knowledge, the first to show a relationship between an increasing numbers of infectious diseases associated with an earlier age at menopause.…”

Section: Predictionsupporting

confidence: 89%

“…A study of women in Wisconsin found an effect of parental occupation on age at menopause; the daughters of farmers had a later menopause compared with those whose fathers had other occupations. This may be a result of different lifestyle factors including nutrition (Shinberg, 1998). A cohort study of women exposed to caloric restriction during the Dutch famine in 1944-1945 found a younger age at menopause, with early childhood a particularly sensitive age period for that effect (Elias et al 2003).…”

Section: Predictionmentioning

confidence: 99%

“…In addition to variables that reflect childhood conditions, other factors associated with age at menopause that should be considered across the life course include parity (Cramer et al 1995;Gold et al 2001), cycle length (Kaczmarek and Szwed 2001;Whelan et al 1990), marital status (Sievert et al 2001); tobacco use (Cramer et al 1995;Gold et al 2001;Morris et al 2012;Reynolds and Obermeyer 2005), levels of education and socioeconomic status (Luoto et al 1994;Gold et al 2001;Mishra et al 2010;Shinberg 1998;Sievert and Hautaniemi 2003).…”

Section: Introductionmentioning

confidence: 99%

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Life course effects on age at menopause among Bangladeshi sedentees and migrants to the UK

Murphy

Sievert

Begum

et al. 2012

American J Hum Biol

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Objectives:To assess how different variables experienced across the life course, but particularly during early life, might affect age at menopause among 174 Bangladeshi migrants to London by comparing them to 157 nonmigrant sedentees and 154 women of European descent in London.Methods:Participants were aged 35–59 years, with no exogenous hormone use in the past three months, not pregnant or lactating, with no history of hysterectomy or oophorectomy. Face‐to‐face interviews and anthropometric measures were carried out. In addition to mean recalled age at natural menopause, median age was computed by probit analysis. Ages at menopause were examined by bivariate and Cox regression analyses in relation to demographic, reproductive, and lifestyle variables, and in relation to potential exposure to cyclones in early childhood.Results:Ages at menopause were significantly earlier among Bangladeshi sedentees and immigrants compared to Londoners of European origin. Ages at menopause were earlier among sedentees compared to immigrants. Urban birthplace, more infectious diseases during childhood, and lower levels of education increased the risk of an earlier menopause.Conclusions:Changes in environmental conditions during adulthood appeared to modify age at menopause among Bangladeshi immigrants in London compared to women living in Bangladesh; however, Bangladeshi immigrants still experienced an earlier age at menopause compared with their London neighbors of European descent. Am. J. Hum. Biol., 2013. © 2012 Wiley Periodicals, Inc.

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Section: Predictionsupporting

confidence: 89%

Section: Predictionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Life course effects on age at menopause among Bangladeshi sedentees and migrants to the UK

Murphy

Sievert

Begum

et al. 2012

American J Hum Biol

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“…As expected, we found differences in ever having used HT according to how menstruation ceased (surgically or not) and when menopause took place (Table 3). While both of these factors have been found to vary by SES -lower SES women in the U.S. have more surgery (Kjerulff, Langenberg, and Guzinski 1993) and earlier surgical and non-surgical menopause (Shinberg 1995) than higher SES women -the associations of surgery and menopausal timing with HT use held up even when we controlled a substantial number of SES measures. Furthermore, associations of SES with HT use persisted, net of each other and net of surgery and menopausal timing.…”

Section: Discussionmentioning

confidence: 87%

Socioeconomic Status Differences in Hormone Therapy

Marks

Shinberg

1998

American Journal of Epidemiology

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The relative benefits and hazards of noncontraceptive hormone therapy (HT) for aging women remain a controversial medical and social issue. This study examined the lifetime incidence of HT use, how usage varied by surgery status, and the bivariate and net associations between a large array of SES indicators and the likelihood of midlife women ever using HT by age 53-54 among N=3,612 non-Hispanic white women participants in the Wisconsin Longitudinal Study . About half the sample of women had ever used HT; 79% who had ever used HT were currently using HT (38.5%). In multivariate logistic regression analyses, the most robust SES predictor of HT use was a woman's husband's occupational status (higher status associated with higher rates of use). This association withstood adjusting for all other measured sociological and biomedical factors (e.g., other health behaviors, menopausal symptoms, age at menopause, health insurance). The association of HT use and education differed for women who underwent hysterectomy and/or oophorectomy (where the odds of using HT were higher for less educated women) and for women with intact reproductive organs (where the odds of using HT were lower for less educated women). Only among women who had surgery was the association of education with use of HT persistent adjusting for all other measured factors. Additionally, a woman's own earnings and household net worth showed positive net associations with HT use. Two competing explanations for the observed relationship between husband's occupational status and women's HT use are discussed: HT as a preventive health behavior and HT as a socially influenced behavior to help maximize femininity. Prevalence estimates of HT use have ranged widely depending upon the sampling frame of the study (Derby et al. 1993; Johannes et al. 1994;Thompson 1995). Rates of prescribing HT in the U.S. have been found to be highest in the West and lowest in the East (Hemminki et al. 1988). The use of HT is not random. While the most significant sociodemographic correlate of HT use other than age and gender is socioeconomic status (SES), SES has not been examined systematically in most studies of HT. SES is generally found to be positively associated with health-promoting behaviors and good health outcomes for both women and men (Adler et al. 1993;House et al. 1990House et al. , 1994Feinstein 1993; Longino, Warheit, and Green 1989; Marmot, Kogevinas, and Elston 1987;Syme and Berkman 1976;Waldron 1991). Yet considerable public health debate continues regarding the mechanisms and processes whereby SES influences differences in health behaviors and health status (Adler et al. 1993;Andersen 1995; Link and Phelan 1995). SES is measured in different ways -e.g., years of education, occupational status, and income. Different measures of SES tend to be only moderately correlated, and each captures different attributes of social status. One research approach to help elucidate the possible processes underlying any given relationship between a health outcome and S...

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“…The WLS is a cohort study of over 10,000 individuals that has been used to study a wide range of health issues, including cognitive function (Krahn et al 2003;Seltzer et al 2005), mental health (Carr 1997;Johnson and Breslau 2006), reproductive health (Marks and Shinberg 1997;Shinberg 1998), hormone therapy (Marks and Shinberg 1998), immune function (Rosenkranz et al 2003), and healthcare decisions (Flynn, Smith, and Vanness 2006). Armed with data on height and weight from the 1993 and 2004 waves, researchers have begun to conduct obesity research with WLS data (e.g., Reither 2005).…”

mentioning

confidence: 99%

Predicting adult health and mortality from adolescent facial characteristics in yearbook photographs

2009

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ongitudinal research in the social sciences has enriched our understanding of the antecedents and consequences of obesity (Crossman, Sullivan, and Benin 2006;Goodman and Whitaker 2002;Himes 2000;Mannino et al. 2006;Novak, Ahlgren, and Hammarstrom 2006;Sundquist and Johansson 1998). Unfortunately, for much of the twentieth century, social scientists did not routinely record the height and weight of study participants (but see, e.g., Ayres 1909). As a consequence, a number of important longitudinal studies that might otherwise provide excellent resources for obesity research-and, more generally, for research on the later consequences of early life characteristics and conditions-are limited by the lack of body mass indicators early in life.The Wisconsin Longitudinal Study (WLS) fi ts the previous description. The WLS is a cohort study of over 10,000 individuals that has been used to study a wide range of health issues, including cognitive function (Krahn et al. 2003;Seltzer et al. 2005

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An event history analysis of age at last menstrual period: correlates of natural and surgical menopause among midlife Wisconsin women

Cited by 45 publications

References 26 publications

Life course effects on age at menopause among Bangladeshi sedentees and migrants to the UK

Life course effects on age at menopause among Bangladeshi sedentees and migrants to the UK

Socioeconomic Status Differences in Hormone Therapy

Predicting adult health and mortality from adolescent facial characteristics in yearbook photographs

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