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Alicia Colvin

Publications and source records attributed to Alicia Colvin.

4 recordsLinked to original sources

Longitudinal analysis of the association between vasomotor symptoms and race/ethnicity across the menopausal transition: study of women's health across the nation.

OBJECTIVES: We investigated whether vasomotor symptom reporting or patterns of change in symptom reporting over the perimenopausal transition among women enrolled in a national study differed according to race/ethnicity. We also sought to determine whether racial/ethnic differences were explained by sociodemographic, health, or lifestyle factors. METHODS: We followed 3198 women enrolled in the Study of Women's Health Across the Nation during 1996 through 2002. We analyzed frequency of vasomotor symptom reporting using longitudinal multiple logistic regressions. RESULTS: Rates of vasomotor symptom reporting were highest among African Americans (adjusted odds ratio [OR]=1.63; 95% confidence interval [CI]=1.21, 2.20). The transition to late perimenopause exhibited the strongest association with vasomotor symptoms (adjusted OR = 6.64; 95% CI = 4.80, 9.20). Other risk factors were age (adjusted OR=1.17; 95% CI=1.13, 1.21), having less than a college education (adjusted OR = 1.91; 95% CI = 1.40, 2.61), increasing body mass index (adjusted OR=1.03 per unit of increase; 95% CI=1.01, 1.04), smoking (adjusted OR=1.63; 95% CI=1.25, 2.12), and anxiety symptoms at baseline (adjusted OR=3.10; 95% CI=2.33, 4.12). CONCLUSIONS: Among the risk factors assessed, vasomotor symptoms were most strongly associated with menopausal status. After adjustment for covariates, symptoms were reported most often in all racial/ethnic groups in late perimenopause and nearly as often in postmenopause.

Adult↗

Comparison of SWAN and WISE menopausal status classification algorithms.

BACKGROUND: Classification of menopausal status is important for epidemiological and clinical studies as well as for clinicians treating midlife women. Most epidemiological studies, including the Study of Women's Health Across the Nation (SWAN), classify women based on self-reported bleeding history. METHODS: The Women's Ischemia Syndrome Evaluation (WISE) study developed an algorithm using menstrual and reproductive history and serum hormone levels to reproduce the menopausal status classifications assigned by the WISE hormone committee. We applied that algorithm to women participating in SWAN and examined characteristics of women with concordant and discordant SWAN and WISE classifications. RESULTS: Of the 3215 SWAN women with complete information at baseline (1995-1997), 2466 (76.7%) received concordant classifications (kappa = 0.52); at the fifth annual follow-up visit, of the 1623 women with complete information, 1154 (72.7%) received concordant classifications (kappa = 0.57). At each time point, we identified subgroups of women with discordant SWAN and WISE classifications. These subgroups, ordered by chronological age, showed increasing trends for menopausal symptoms and follicle-stimulating hormone (FSH) and a decreasing trend for estrogen (p < 0.001). CONCLUSIONS: The WISE algorithm is a useful tool for studies that have access to blood samples for hormone data unrelated to menstrual cycle phase, with or without an intact uterus, and no resources for adjudication. Future studies may want to combine aspects of the SWAN and WISE algorithms by adding hormonal measures to the series of bleeding questions in order to determine more precisely where women are in the perimenopausal continuum.

Adult↗

A universal menopausal syndrome?

A variety of symptoms are reported frequently as being part of a menopausal syndrome. These include hot flashes, night sweats, menstrual irregularities, vaginal dryness, depression, nervous tension, palpitations, headaches, insomnia, lack of energy, difficulty concentrating, and dizzy spells. The question of whether and how symptoms occur together is important for women who want to know which symptoms can be attributed to menopause and which to aging generally or to other physical or psychosocial factors. To address this question, the present article examines the following avenues of research: (1) the clustering or grouping of symptoms; (2) the temporal association of different symptoms with stages of the menopausal transition; (3) the consistency of symptom reporting across cultures, race, and ethnicity; and (4) the consistency of risk factors for symptoms. Results of the factor analysis studies do not support a single syndrome consisting of menopausal and psychological or somatic symptoms. The prevalence of symptom reporting across the transition also argues against a menopausal syndrome because vasomotor symptoms follow a unique pattern that differs from that of other symptoms. Cross-cultural differences suggest that symptom reporting is not universal. Finally, although there is some overlap in risk factors for symptoms, menopausal status is more consistently related to vasomotor symptoms than to psychological or physical ones. Results of these investigations all argue against a universal menopausal syndrome. Future research should focus on how symptoms are interrelated, what factors are uniquely related to vasomotor symptoms, and identifying whether there is a subgroup of women who are more likely to report symptoms.

Aging↗

Health-related quality of life in a multiethnic sample of middle-aged women: Study of Women's Health Across the Nation (SWAN).

BACKGROUND: Relatively little is known about the association between menopause and health-related quality of life (HRQL) across ethnic groups. OBJECTIVES: To examine the association between HRQL and early perimenopause and ethnicity, adjusting for health, lifestyle, psychosocial, and sociodemographic factors. RESEARCH DESIGN: Questionnaires were administered to pre- and early perimenopausal women. SUBJECTS: We studied a cohort of 3302 black, Chinese, Hispanic, Japanese, and white women aged 42 to 52 years from the multisite Study of Women's Health Across the Nation (SWAN). MEASURES: We measured HRQL, menstrual regularity, and a variety of covariates. HRQL was assessed with 5 subscales from the Short Form-36; impaired functioning was defined as being in the 25% most impaired on a subscale. RESULTS: In unadjusted, but not adjusted, analyses, significantly more early perimenopausal women, as compared with premenopausal women, were classified as having impaired functioning on each of the 5 subscales. For 4 of the subscales, the effect of menopausal status was explained by menopause-related symptoms. There were significant ethnic group differences across all 5 subscales in unadjusted analyses. Ethnicity was no longer significant for the Vitality or Role-Emotional subscales when adjusted for health variables or for the Role-Physical subscale when analyses were adjusted for socioeconomic status, health, lifestyle, or social circumstances. Ethnicity remained significant for the Bodily Pain and Social Functioning subscales, even in adjusted analyses. CONCLUSIONS: Early perimenopause is not associated with impaired functioning when adjusted for symptoms. Significant ethnic differences in HRQL exist. Some, but not all, differences can be explained by differences in health, lifestyle, and social circumstances.

Adult↗