Predictors of menopausal hot flashes. 1998

C A Staropoli, and J A Flaws, and T L Bush, and A W Moulton
Baltimore Veterans Affairs Medical Center, Maryland, USA.

There are limited data on the factors associated with menopausal hot flashes, a common and potentially morbid condition. The objective of this study was to identify predictors of menopausal hot flashes. To meet this objective, 233 naturally perimenopausal or post-menopausal women (ages 45-65) attending a large urban hospital center primary care clinic, mammography unit, or women's health practice were enrolled. The women responded to a self-administered questionnaire assessing selected demographic factors, reproductive history, and behavioral factors. Sixty-seven percent of respondents experienced hot flashes, with 63% reporting frequent hot flashes (at least one hot flash per day) and 60% with hot flashes describing the hot flashes as severe. Women with hot flashes were significantly more likely to have mothers who experienced hot flashes (OR = 4.4, CI = 2.0-10.0) or to be smokers (OR = 2.0, CI = 1.2-3.5). There were no statistically significant associations between hot flashes and other selected demographic, reproductive, or behavior characteristics. These results reveal that menopausal hot flashes are associated with a maternal history of hot flashes as well as with cigarette smoking. These results may help physicians to counsel their patients about smoking cessation.

UI MeSH Term Description Entries
D008593 Menopause The last menstrual period. Permanent cessation of menses (MENSTRUATION) is usually defined after 6 to 12 months of AMENORRHEA in a woman over 45 years of age. In the United States, menopause generally occurs in women between 48 and 55 years of age. Change of Life, Female
D008875 Middle Aged An adult aged 45 - 64 years. Middle Age
D011237 Predictive Value of Tests In screening and diagnostic tests, the probability that a person with a positive test is a true positive (i.e., has the disease), is referred to as the predictive value of a positive test; whereas, the predictive value of a negative test is the probability that the person with a negative test does not have the disease. Predictive value is related to the sensitivity and specificity of the test. Negative Predictive Value,Positive Predictive Value,Predictive Value Of Test,Predictive Values Of Tests,Negative Predictive Values,Positive Predictive Values,Predictive Value, Negative,Predictive Value, Positive
D011795 Surveys and Questionnaires Collections of data obtained from voluntary subjects. The information usually takes the form of answers to questions, or suggestions. Community Survey,Nonrespondent,Questionnaire,Questionnaires,Respondent,Survey,Survey Method,Survey Methods,Surveys,Baseline Survey,Community Surveys,Methodology, Survey,Nonrespondents,Questionnaire Design,Randomized Response Technique,Repeated Rounds of Survey,Respondents,Survey Methodology,Baseline Surveys,Design, Questionnaire,Designs, Questionnaire,Methods, Survey,Questionnaire Designs,Questionnaires and Surveys,Randomized Response Techniques,Response Technique, Randomized,Response Techniques, Randomized,Survey, Baseline,Survey, Community,Surveys, Baseline,Surveys, Community,Techniques, Randomized Response
D003430 Cross-Sectional Studies Studies in which the presence or absence of disease or other health-related variables are determined in each member of the study population or in a representative sample at one particular time. This contrasts with LONGITUDINAL STUDIES which are followed over a period of time. Disease Frequency Surveys,Prevalence Studies,Analysis, Cross-Sectional,Cross Sectional Analysis,Cross-Sectional Survey,Surveys, Disease Frequency,Analyses, Cross Sectional,Analyses, Cross-Sectional,Analysis, Cross Sectional,Cross Sectional Analyses,Cross Sectional Studies,Cross Sectional Survey,Cross-Sectional Analyses,Cross-Sectional Analysis,Cross-Sectional Study,Cross-Sectional Surveys,Disease Frequency Survey,Prevalence Study,Studies, Cross-Sectional,Studies, Prevalence,Study, Cross-Sectional,Study, Prevalence,Survey, Cross-Sectional,Survey, Disease Frequency,Surveys, Cross-Sectional
D005260 Female Females
D006801 Humans Members of the species Homo sapiens. Homo sapiens,Man (Taxonomy),Human,Man, Modern,Modern Man
D000368 Aged A person 65 years of age or older. For a person older than 79 years, AGED, 80 AND OVER is available. Elderly
D012720 Severity of Illness Index Levels within a diagnostic group which are established by various measurement criteria applied to the seriousness of a patient's disorder. Illness Index Severities,Illness Index Severity
D012907 Smoking Willful or deliberate act of inhaling and exhaling SMOKE from burning substances or agents held by hand. Smoking Behaviors,Smoking Habit,Behavior, Smoking,Behaviors, Smoking,Habit, Smoking,Habits, Smoking,Smoking Behavior,Smoking Habits

Related Publications

C A Staropoli, and J A Flaws, and T L Bush, and A W Moulton
March 2008, Medicine and health, Rhode Island,
C A Staropoli, and J A Flaws, and T L Bush, and A W Moulton
June 1987, Journal of behavioral medicine,
C A Staropoli, and J A Flaws, and T L Bush, and A W Moulton
January 2016, Temperature (Austin, Tex.),
C A Staropoli, and J A Flaws, and T L Bush, and A W Moulton
September 2016, Annals of internal medicine,
C A Staropoli, and J A Flaws, and T L Bush, and A W Moulton
September 2016, Annals of internal medicine,
C A Staropoli, and J A Flaws, and T L Bush, and A W Moulton
September 2016, Annals of internal medicine,
C A Staropoli, and J A Flaws, and T L Bush, and A W Moulton
September 2016, Annals of internal medicine,
C A Staropoli, and J A Flaws, and T L Bush, and A W Moulton
November 1987, The Nurse practitioner,
C A Staropoli, and J A Flaws, and T L Bush, and A W Moulton
April 2015, Clinical journal of oncology nursing,
C A Staropoli, and J A Flaws, and T L Bush, and A W Moulton
August 2011, Menopause (New York, N.Y.),
Copied contents to your clipboard!