@article {721, title = {Hormone replacement therapy and sleep-disordered breathing.}, journal = {Am J Respir Crit Care Med}, volume = {167}, year = {2003}, month = {2003 May 01}, pages = {1186-92}, abstract = {

Disordered breathing during sleep is more common among postmenopausal women than among their premenopausal counterparts, possibly because of declining levels of estrogen and progesterone. We examined the relationship between the use of replacement hormones and sleep-disordered breathing in a sample of 2,852 noninstitutionalized women, 50 years of age or older, who participated in the Sleep Heart Health Study. The frequency of apneas and hypopneas per hour of sleep (apnea-hypopnea index) was determined by unattended, single-night polysomnography at the participant{\textquoteright}s home. The prevalence of sleep-disordered breathing (apnea-hypopnea index of 15 or more) among hormone users (61 of 907) was approximately half the prevalence among nonusers (286 of 1,945). Multivariable adjustment for known determinants of the disorder, including age, body mass index, and neck circumference, has attenuated the association, but only moderately (adjusted odds ratio, 0.55; 95\% confidence interval, 0.41 to 0.75). The inverse association between hormone use and sleep-disordered breathing was evident in various subgroups and was particularly strong among women 50 to 59 years old (adjusted odds ratio, 0.36; 95\% confidence interval, 0.21 to 0.60). If the observed associations are causal, hormone replacement therapy could have a role in preventing or alleviating sleep-disordered breathing.

}, keywords = {Age Distribution, Aged, Body Mass Index, Causality, Cohort Studies, Confidence Intervals, Estrogen Replacement Therapy, Female, Humans, Logistic Models, Middle Aged, Multivariate Analysis, Odds Ratio, Polysomnography, Postmenopause, Prevalence, Sensitivity and Specificity, Severity of Illness Index, Sleep Apnea Syndromes, Sleep Stages, United States}, issn = {1073-449X}, doi = {10.1164/rccm.200210-1238OC}, author = {Shahar, Eyal and Redline, Susan and Young, Terry and Boland, Lori L and Baldwin, Carol M and Nieto, F Javier and O{\textquoteright}Connor, George T and Rapoport, David M and Robbins, John A} } @article {833, title = {Factors associated with incidence and persistence of symptoms of disturbed sleep in an elderly cohort: the Cardiovascular Health Study.}, journal = {Am J Med Sci}, volume = {329}, year = {2005}, month = {2005 Apr}, pages = {163-72}, abstract = {

BACKGROUND: There are limited data pertaining to the factors influencing the incidence and persistence of sleep symptoms in the elderly. The purpose of this study was to determine the incidence and nonremission rates of the following sleep symptoms: trouble falling asleep (TFA), frequent awakenings (FA), and excessive daytime sleepiness (EDS) in the Cardiovascular Health Study (CHS), a prospective multicenter study of cardiovascular disease in a large cohort of elderly adults. Factors influencing these rates were assessed as well.

METHODS: 4467 participants in CHS were surveyed for the presence of TFA, FA, and EDS as well as other health problems at their baseline examination and at a follow-up examination 1 to 4 years later.

RESULTS: Annualized incidence and nonremission rates were the following: TFA (2.8\% and 15.4\%), FA (12.3\% and 22.7\%), and EDS (4.4\% and 13.4\%). Women were more likely to have incident and persistent TFA. Depression was the primary factor predicting the incidence of all three sleep symptoms. However, other health conditions, including respiratory symptoms and cardiovascular disease, and limitation in activities of daily living were important as well. Depression also was the most important factor associated with persistence of these sleep symptoms. The role of other health conditions in determining nonremission was much more limited.

CONCLUSIONS: Incidence of sleep disturbances in the elderly is related to depression, health conditions, and physical functioning. However, persistence of sleep disturbances is best predicted by the presence of depression.

}, keywords = {Aged, Cardiovascular Diseases, Cohort Studies, Depression, Female, Health Status, Humans, Incidence, Logistic Models, Male, Odds Ratio, Prevalence, Risk Factors, Sex Factors, Sleep Initiation and Maintenance Disorders, Surveys and Questionnaires}, issn = {0002-9629}, doi = {10.1097/00000441-200504000-00001}, author = {Quan, Stuart F and Katz, Ronit and Olson, Jean and Bonekat, William and Enright, Paul L and Young, Terry and Newman, Anne} } @article {871, title = {Progression and regression of sleep-disordered breathing with changes in weight: the Sleep Heart Health Study.}, journal = {Arch Intern Med}, volume = {165}, year = {2005}, month = {2005 Nov 14}, pages = {2408-13}, abstract = {

BACKGROUND: The relationship of weight changes to the incidence, progression, and remission of sleep-disordered breathing (SDB) is not well defined. This study aims to determine the relationship between change in weight and progression or remission of SDB by polysomnography.

METHODS: We performed a longitudinal cohort study of the cardiovascular consequences of sleep apnea in diverse US communities. Sleep apnea and polysomnographic indicators of SDB were assessed 5 years apart.

RESULTS: A total of 2968 men and women (mean age, 62 years) participated in the study. Men were more likely to have an increase in Respiratory Disturbance Index (RDI) with a given increase in weight than were women, and this was not explained by differences in starting weight, waist circumference, age, or ethnicity. In a linear regression analysis, both men and women had a greater increase in RDI with weight gain than a decrease in RDI with weight loss. In a categorical analysis of larger degrees of change, this sex difference was also evident. Associations were similar in diverse ethnic groups. However, SDB progressed over time, even in those with stable weight.

CONCLUSION: Modest changes in weight were related to an increase or decrease in SDB, and this association was stronger in men than in women.

}, keywords = {Body Weights and Measures, Causality, Cohort Studies, Comorbidity, Female, Follow-Up Studies, Humans, Linear Models, Male, Middle Aged, Obesity, Odds Ratio, Sex Distribution, Sleep Apnea Syndromes, United States, Weight Gain, Weight Loss}, issn = {0003-9926}, doi = {10.1001/archinte.165.20.2408}, author = {Newman, Anne B and Foster, Greg and Givelber, Rachel and Nieto, F Javier and Redline, Susan and Young, Terry} }