Showing papers by "Susan Redline published in 2003"

Incidence of Sleep-Disordered Breathing in an Urban Adult Population: The Relative Importance of Risk Factors in the Development of Sleep-Disordered Breathing

Abstract: ContextSleep-disordered breathing (SDB) is both prevalent and associated with serious chronic illness. The incidence of SDB and the effect of risk factors on this incidence are unknown.ObjectiveTo determine the 5-year incidence of SDB overall and as influenced by risk factors.Design, Setting, and ParticipantsOf the 1149 participants in the Cleveland Family Study, those aged 18 years or older, from either case or control families, who had 2 in-home sleep studies 5 years apart. The first had to have been performed before June 30, 1997, and had to have normal results (apnea hypopnea index [AHI] <5). Data included questionnaire information on medical and family history, SDB symptoms; measurement of height, weight, blood pressure, waist and hip circumference, and serum cholesterol concentration; and overnight sleep monitoring.Main Outcome MeasureApnea hypopnea index, defined as number of apneas and hypopneas per hour of sleep. Sleep-disordered breathing was defined by an AHI of at least 10 (mild to moderate) or of at least 15 (moderate).ResultsForty-seven (16%) of 286 eligible participants, (95% confidence interval [CI], 13%-21%) had a second-study AHI of at least 10 and 29 (10%) participants (95% CI, 7%-14%) had a second-study AHI result of at least 15. For the AHI results of at least 15, we estimate that about 2.5% may represent test variability. By ordinal logistic regression analysis, AHI was significantly associated with age (odds ratio [OR] per 10-year increase, 1.79; 95% CI, 1.41-2.27), body mass index (BMI; OR per 1-unit increase, 1.14; 95% CI, 1.10-1.19), sex (OR for men vs women, 4.12; 95% CI, 2.29-7.43), waist-hip ratio (OR per 0.1 unit increase, 1.61; 95% CI, 1.04-2.28), and serum cholesterol concentration (OR per 10-mg/dL [0.25-mmol/L] increase, 1.11; 95% CI, 1.03-1.19). Interactions were noted between age and both sex (P = .003) and BMI (P = .05). The OR for increased AHI per 10-year age increase was 2.41 in women (95% CI, 1.78-3.26) and 1.15 in men (95% CI, 0.78-1.68), with the male vs female OR decreasing from 5.04 (95% CI, 2.19-11.6) at age 30 years to 0.54 (95% CI, 0.15-1.99) at age 60 years. The OR for increased AHI per 1-unit increase in BMI decreased from 1.21 (95% CI, 1.11-1.31) at age 20 years to 1.05 (95% CI, 0.96-1.15) at age 60 years.ConclusionsThe 5-year incidence is about 7.5% for moderately severe SDB and 16% (or less) for mild to moderately severe SDB. Incidence of SDB is influenced independently by age, sex, BMI, waist-hip ratio, and serum cholesterol concentration. Predominance in men diminishes with increasing age, and by age 50 years, incidence rates among men and women are similar. The effect of BMI also decreases with age and may be negligible at age 60 years.

Diabetes and Sleep Disturbances: Findings from the Sleep Heart Health Study

Abstract: OBJECTIVE —To test the hypothesis that diabetes is independently associated with sleep-disordered breathing (SDB), and in particular that diabetes is associated with sleep abnormalities of a central, rather than obstructive, nature. RESEARCH DESIGN AND METHODS —Using baseline data from the Sleep Heart Health Study (SHHS), we related diabetes to 1 ) the respiratory disturbance index (RDI; number of apneas plus hypopneas per h of sleep); 2 ) obstructive apnea index (OAI; ≥3 apneas/h of sleep associated with obstruction of the upper airway); 3 ) percent of sleep time 2 saturation; 4 ) central apnea index (CAI; ≥3 apneas [without respiratory effort]/h sleep); 5 ) occurrence of a periodic breathing (Cheyne Stokes) pattern; and 6 ) sleep stages. Initial analyses excluding persons with prevalent cardiovascular disease (CVD) were repeated including these participants. RESULTS —Of the 5,874 participants included in this report, 692 (11.8%) reported diabetes or were taking oral hypoglycemic medications or insulin and 1,002 had prevalent CVD. Among the 4,872 persons without CVD, 470 (9.6%) had diabetes. Diabetic participants had worse CVD risk factor profiles than their nondiabetic counterparts, including higher BMI, waist and neck circumferences, triglycerides, higher prevalence of hypertension, and lower HDL cholesterol ( P 2 saturation, CAI, and periodic breathing ( P P CONCLUSIONS —These data suggest that diabetes is associated with periodic breathing, a respiratory abnormality associated with abnormalities in the central control of ventilation. Some sleep disturbances may result from diabetes through the deleterious effects of diabetes on central control of respiration. The high prevalence of SDB in diabetes, although largely explained by obesity and other confounders, suggests the presence of a potentially treatable risk factor for CVD in the diabetic population.

Sleep and sleep-disordered breathing in adults with predominantly mild obstructive airway disease.

Abstract: Neither the association between obstructive airways disease (OAD) and sleep apnea-hypopnea (SAH) nor the sleep consequences of each disorder alone and together have been characterized in an adult community setting. Our primary aims were (1) to determine if there is an association between OAD and SAH and (2) identify predictors of oxyhemoglobin desaturation during sleep in persons having OAD with and without SAH. Polysomnography and spirometry results from 5,954 participants in the Sleep Heart Health Study were analyzed. OAD was defined by a FEV1/FVC value less than 70%. Assessment of SAH prevalence in OAD was performed using thresholds of respiratory disturbance index (RDI) greater than 10 and greater than 15. A total of 1,132 participants had OAD that was predominantly mild (FEV1/FVC 63.81 +/- 6.56%, mean +/- SD). SAH was not more prevalent in participants with OAD than in those without OAD (22.32 versus 28.86%, with and without OAD, respectively, at RDI threshold values greater than 10; and 13.97 versus 18.63%, with and without OAD, respectively, at RDI threshold value greater than 15). In the absence of SAH, the adjusted odds ratio for sleep desaturation (> 5% total sleep time with saturation < 90%) was greater than 1.9 when FEV1/FVC was less than 65%. Participants with both OAD and SAH had greater sleep perturbation and desaturation than those with one disorder. Generally mild OAD alone was associated with minimally altered sleep quality. We conclude that (1) there is no association between generally mild OAD and SAH; (2) exclusive of SAH and after adjusting for demographic factors and awake oxyhemoglobin saturation, an FEV1/FVC value less than 65% is associated with increased risk of sleep desaturation; (3) desaturation is greater in persons with both OAD and SAH compared with each of these alone; and (4) individuals with generally mild OAD and without SAH in the community have minimally perturbed sleep.

Decreased quality of life associated with obesity in school-aged children.

Abstract: Objectives To examine the association between health-related quality of life and body mass index (BMI) in preadolescent school-aged children and to provide the possible risk factors among participant characteristics, BMI status, and health-related quality of life. Design, Setting, and Participants Cross-sectional analysis of 371 (50% female; 32% minority) children from a community-based sample of 8- to 11-year-olds participating in an ongoing cohort study, excluding those who had sleep apnea or who were born prematurely. Using BMI percentiles for age and sex, 17.5% of the children were considered overweight (BMI ≥95th percentile), 12.4% were at risk for overweight (BMI 85th-94th percentile), 8.1% were relatively underweight (BMI Main Outcome Measures Health-related quality-of-life scores as determined by the Child Health Questionnaire–Parent Form 50, dichotomized into the bottom quartile or decile. Results After adjustment for covariates (host factors and health status measurements), overweight children compared with normal weight children scored lower on the Psychosocial Health Summary (odds ratio [OR], 2.0; 95% confidence interval [CI], 1.1-3.6) and on subscales measuring self-esteem (OR, 3.5; 95% CI, 1.9-6.3), physical functioning (OR, 2.8; 95% CI, 1.7-6.8), and effect on the parent's emotional well-being (OR, 2.0; 95% CI, 1.1-3.6). Compared with the normal weight group, children who are at risk for overweight scored significantly lower for physical functioning. Conclusion Overweight children have an increased odds of low scores for several health-related quality-of-life domains, suggesting the importance in considering such dimensions in programs aimed at further understanding obesity in children.

Hormone replacement therapy and sleep-disordered breathing.

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'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.

A whole-genome scan for obstructive sleep apnea and obesity.

Abstract: Obstructive sleep apnea (OSA) is a common, chronic, complex disease associated with serious cardiovascular and neuropsychological sequelae and with substantial social and economic costs. Along with male gender, obesity is the most characteristic feature of OSA in adults. To identify susceptibility loci for OSA, we undertook a 9-cM genome scan in 66 white pedigrees (n=349 subjects) ascertained on the basis of either an affected individual with laboratory-confirmed OSA or a proband who was a neighborhood control individual. Multipoint variance-component linkage analysis was performed for the OSA-associated quantitative phenotypes apnea-hypopnea index (AHI) and body mass index (BMI). Candidate regions on chromosomes 1p (LOD score 1.39), 2p (LOD score 1.64), 12p (LOD score 1.43), and 19p (LOD score 1.40) gave the most evidence for linkage to AHI. BMI was also linked to multiple regions, most significantly to markers on chromosomes 2p (LOD score 3.08), 7p (LOD score 2.53), and 12p (LOD score 3.41). Extended modeling indicated that the evidence for linkage to AHI was effectively removed after adjustment for BMI, with the exception of the candidate regions on chromosomes 2p (adjusted LOD score 1.33) and 19p (adjusted LOD score 1.45). After adjustment for AHI, the primary linkages to BMI remained suggestive but were roughly halved. Our results suggest that there are both shared and unshared genetic factors underlying susceptibility to OSA and obesity and that the interrelationship of OSA and obesity in white individuals may be partially explained by a common causal pathway involving one or more genes regulating both AHI and BMI levels.

Variation in symptoms of sleep-disordered breathing with race and ethnicity: the Sleep Heart Health Study.

Abstract: Study objectives To examine the relation of sleep-related symptoms to race and ethnicity in a diverse sample of middle-aged and older men and women. Design Cross-sectional questionnaire survey. Setting In the initial phase of the Sleep Heart Health Study, men and women enrolled in participating epidemiologic cohort studies were surveyed. Participants 13,194 men and women 40 years of age and older, including 11,517 non-Hispanic white, 648 black, 643 American Indian, 296 Hispanic, and 90 Asian-Pacific Islander. Interventions Not applicable. Measurements and results After adjustment for BMI and other factors, frequent snoring was more common among Hispanic women (odds ratio (OR) = 2.25, 95% confidence interval (CI) = 1.48, 3.42) and black women (OR = 1.55, 95% Ci = 1.13, 2.13) than among non-Hispanic white women. Hispanic men were significantly more likely to report frequent snoring than non-Hispanic white men (OR = 2.30, 95% CI = 1.43, 3.69). Black, American Indian, and Asian men did not differ significantly from white men in snoring prevalence. American Indian women were significantly more likely to report breathing pauses during sleep than their white, non-Hispanic counterparts (OR = 1.52, 95% CI 1.03, 2.24), although polysomnography data on a subset of the sample suggested that the association between this symptom reported on questionnaire and objective evidence of sleep-disordered breathing may be weaker among American Indians than among other groups. Mean Epworth Sleepiness Scale scores were slightly higher in black men and women than in their white, non-hispanic counterparts. Conclusions Frequent snoring was more common among black and Hispanic women and Hispanic men than among their white non-Hispanic counterparts, even after adjusting for BMI and other factors. Further research including polysomnography and objective measurements of sleepiness is needed to assess the physiologic and clinical significance of these findings.

Predictors of longitudinal change in sleep-disordered breathing in a nonclinic population.

Abstract: Study Objectives: To quantify and identify the determinants of the 5-year change in the respiratory disturbance index (RDI). Design: Longitudinal cohort study (Cleveland Family Study). Multivariate analyses were used to quantify baseline RDI and RDI change. Setting: Community-based study. Participants: 486 cohort members (62% from families of probands with sleep-disordered breathing [SDB])-mean age 31.6 ± 17.9 (SD) years, 60% female, 21% Black ethnicity-who underwent 2 assessments over 5.3 ± 0.9 (SD) years. Interventions: NA Measurements: The RDI was measured twice over approximately 5 years with in-home monitoring. Symptoms and medical histories were obtained from standardized questionnaires, and weight, height, and blood pressure were measured. Results: The prevalence of SDB (defined by a RDI ≥ 15), increased from 13.7% to 23.4% (P<0.01) in men and from 8.3% to 11.4% (P=0.13) in females. Baseline and follow-up mean RDIs were 6.0±10.0 and 8.6±14.3; both were higher in older individuals, in men, and in those with a higher body mass index. Median 5-year change in RDI varied nonlinearly with age (-0.1, 1.1, 2.3, and 0.9, for those <18, 19-40, 41-54, and ≥ 55 years, respectively) and obesity (2.8 vs -0.1, for the top versus lowest body mass index quartile). The effects of changing weight and aging varied in population subgroups. At any given age and weight, the RDI increased less in women. Conclusions: Longitudinal change in the RDI varies nonuniformly with age, sex, and weight. Older heavier men may experience the highest rate of increase in RDI over time and, thus, may benefit most from prospective monitoring.

Sleep-disordered breathing and cognitive impairment in elderly Japanese-American men.

Abstract: STUDY OBJECTIVE To assess the association between sleep-disordered breathing and cognitive functioning in an elderly cohort of Japanese-American men. DESIGN Cross-sectional study. SETTING The Honolulu-Asia Aging Study of Sleep Apnea, Oahu, Hawaii. PARTICIPANTS 718 men between 79 and 97 years of age examined in 1999 and 2000. MEASUREMENTS Apnea-hypopnea index from in-home overnight polysomnography, performance on the Cognitive Abilities Screening Instrument, body mass index, neck circumference, Epworth Sleepiness Scale, snoring, Center for Epidemiologic Studies Depression 11-item depression scale, physical disability, and history of heart disease, stroke, hypertension, diabetes, and dementia. RESULTS Less than 30% of the men had no sleep-disordered breathing (apnea-hypopnea index or = 30). Severe sleep-disordered breathing was associated with higher body mass index, habitual snoring, and daytime drowsiness. No association was found between sleep-disordered breathing and cognitive functioning, including measures of memory function, concentration, and attention. CONCLUSIONS Sleep-disordered breathing was associated with more drowsiness but not with poor performance on standardized cognitive tests used to screen for Alzheimer disease and other dementias in older persons. Because a healthy-participant effect may have contributed to this finding, more extensive cognitive testing may be necessary to reveal more subtle deficits from sleep-disordered breathing.

Recruitment of healthy adults into a study of overnight sleep monitoring in the home: experience of the Sleep Heart Health Study.

Abstract: The Sleep Heart Health Study (SHHS) is a prospective cohort study using participants from several ongoing cardiovascular and respiratory disease research projects to investigate the relationship between sleep-disordered breathing and cardiovascular disease. This study design required unusual and different recruiting techniques to meet the study’s enrollment goal of between 6000 and 6600 participants. Individuals were recruited to undergo an overnight home polysomnogram, completion of several questionnaires, and collection of a small amount of physical examination data. This article describes the methods used to recruit these participants and how these procedures influenced the final participation rate and the representativeness of SHHS to its parent cohorts. Of 30,773 people eligible for recruitment into SHHS, attempts were made to enroll 11,145 (36%). Of those contacted, 6441 ultimately agreed to participate (58%). Recruitment rates (38 to 91%) varied among sites. SHHS participants were slightly younger (63.0 vs. 65.0 years, p < 0.001), had more years of education (14.1 vs. 13.7, p < 0.001), more likely to snore (34% vs. 23%, p < 0.001), had higher Epworth sleepiness scores (7.7 vs. 6.5, p < 0.001), slightly higher higher systolic and diastolic blood pressures (127.6/73.9 vs. 127.2/72.1, p < 0.001 for diastolic only), and a slightly higher body mass index (BMI) (28.5 vs. 27.5, p < 0.001). We conclude that it is feasible to recruit existing participants from one large-scale epidemiologic study into another with a high degree of success. However, the characteristics of the new cohort may vary in several respects from their original cohorts and therefore interpretation of study results will have to consider these differences.

Development and validation of school-based asthma and allergy screening instruments for parents and students.

Abstract: Background The increasing morbidity attributable to asthma among school-aged children suggests the potential utility of school-based asthma screening programs. Objective We report our efforts to develop and validate culturally sensitive and clinically useful screening questionnaires (parent and child versions) for asthma and allergies among urban US school children. Methods Instrument development was accomplished through literature review, expert medical and child developmental input, focus group feedback, and a rigorous trial of the instruments in a public school setting. Questionnaires were distributed to 2,800 children and their families in an urban public school system (grades kindergarten through 6). Validity was evaluated by blinded comparison of results against a standardized clinical evaluation in 107 children, with final designations determined by an expert panel. Results Questionnaires pertaining to 2,083 children were returned (participation rate of 74%). A moderate level of agreement was observed between parent and student questionnaire responses ( r values=0.36 to 0.50; P values Conclusions Administration of a school-based questionnaire is feasible, with a high response rate and excellent internal consistency. A high sensitivity and acceptable specificity was achieved by using one to two questions for asthma, allergic rhinitis, and allergic conjunctivitis. Among the children in grades 2 or above, comparable levels of prediction could be achieved with the student or parent version.

Predicting Attrition in a Pediatric Asthma Intervention Study

Abstract: Objectives To operationalize a comprehensive description of attrition, including pre-inclusion, dropout, and attrition due to intermittent missing data, and to test a predictive model of attrition using a data set from a randomized controlled intervention in pediatric asthma. Methods Participants included children, ages 4-12, diagnosed with asthma and their caregivers. Demographic variables and outcome measures of asthma morbidity were examined in 327 families to determine their association with attrition. Results Families who did not complete randomization and the intervention tended to have younger caregivers than did completers. Caregiver age emerged as the most consistent predictor of pre-inclusion and dropout attrition. There were no significant predictors of attrition due to intermittent missing data. Conclusion Younger caregivers may be at particular risk for attrition in pediatric asthma intervention studies and warrant special attention by investigators.

Findings from the Sleep Heart Health Study

Abstract: CONCLUSIONS — These data suggest that diabetes is associated with periodic breathing, a respiratory abnormality associated with abnormalities in the central control of ventilation. Some sleep disturbances may result from diabetes through the deleterious effects of diabetes on central control of respiration. The high prevalence of SDB in diabetes, although largely explained by obesity and other confounders, suggests the presence of a potentially treatable risk factor for CVD in the diabetic population.

Obstructive sleep apnea (OSA) is a common, chronic, complex disease associated with serious cardiovascular and neuropsychological sequelae and with substantial social and economic costs. Along with male gender, obesity is the most characteristic feature of OSA in adults. To identify susceptibility loci for OSA, we undertook a 9-cM genome scan in 66 white pedigrees (

Abstract: subjects) ascertained on the basis of either an affected individual with n p 349 laboratory-confirmed OSA or a proband who was a neighborhood control individual. Multipoint variance-component linkage analysis was performed for the OSA-associated quantitative phenotypes apnea-hypopnea index (AHI) and body mass index (BMI). Candidate regions on chromosomes 1p (LOD score 1.39), 2p (LOD score 1.64), 12p (LOD score 1.43), and 19p (LOD score 1.40) gave the most evidence for linkage to AHI. BMI was also linked to multiple regions, most significantly to markers on chromosomes 2p (LOD score 3.08), 7p (LOD score 2.53), and 12p (LOD score 3.41). Extended modeling indicated that the evidence for linkage to AHI was effectively removed after adjustment for BMI, with the exception of the candidate regions on chromosomes 2p (adjusted LOD score 1.33) and 19p (adjusted LOD score 1.45). After adjustment for AHI, the primary linkages to BMI remained suggestive but were roughly halved. Our results suggest that there are both shared and unshared genetic factors underlying susceptibility to OSA and obesity and that the interrelationship of OSA and obesity in white individuals may be partially explained by a common causal pathway involving one or more genes regulating both AHI and BMI levels.