A Review of the Literature Regarding Sleep and Cardiometabolic Disease in African Descent Populations

Identifying clusters of patient comorbidities associated with obstructive sleep apnea using electronic health records

STUDY OBJECTIVES

The objectives of this study were to understand the relative comorbidity burden of obstructive sleep apnea (OSA), determine whether these relationships were modified by sex or age, and identify patient subtypes defined by common comorbidities.

METHODS

Cases with OSA and noncases (controls) were defined using a validated electronic health record (EHR)-based phenotype and matched for age, sex, and time period of follow-up in the EHR. We compared prevalence of the 20 most common comorbidities between matched cases and controls using conditional logistic regression with and without controlling for body mass index. Latent class analysis was used to identify subtypes of OSA cases defined by combinations of these comorbidities.

RESULTS

In total, 60,586 OSA cases were matched to 60,586 controls (from 1,226,755 total controls). Patients with OSA were more likely to have each of the 20 most common comorbidities compared with controls, with odds ratios ranging from 3.1 to 30.8 in the full matched set and 1.3 to 10.2 after body mass index adjustment. Associations between OSA and these comorbidities were generally stronger in females and patients with younger age at diagnosis. We identified 5 distinct subgroups based on EHR-defined comorbidities: High Comorbidity Burden, Low Comorbidity Burden, Cardiovascular Comorbidities, Inflammatory Conditions and Less Obesity, and Inflammatory Conditions and Obesity.

CONCLUSIONS

Our study demonstrates the power of leveraging the EHR to understand the relative health burden of OSA, as well as heterogeneity in these relationships based on age and sex. In addition to enrichment for comorbidities, we identified 5 novel OSA subtypes defined by combinations of comorbidities in the EHR, which may be informative for understanding disease outcomes and improving prevention and clinical care. Overall, this study adds more evidence that OSA is heterogeneous and requires personalized management.

CITATION

Te TT, Keenan BT, Veatch OJ, Boland MR, Hubbard RA, Pack AI. Identifying clusters of patient comorbidities associated with obstructive sleep apnea using electronic health records. J Clin Sleep Med. 2024;20(4):521-533.

Correlation of plasma metabolites and comorbid illnesses with poor sleep quality in patients with coronary heart disease

PURPOSE

This study aimed to examine the relationship between plasma metabolites (biochemical parameters) and comorbid illnesses with sleep quality in individuals with coronary heart disease (CHD).

METHODS

This descriptive cross-sectional study was conducted between 2020 and 2021 at a university hospital. Hospitalized patients with a diagnosis of CHD were analyzed. The Personal Information Form' and Pittsburgh Sleep Quality Index (PSQI) were used to collect data. Laboratory findings including plasma metabolites were examined.

RESULTS

Of 60 hospitalized patients with CHD, 50 (83%) had poor sleep quality. A positive and statistically significant correlation was found between the plasma metabolite blood urea nitrogen and poor sleep quality (r = 0.399; p = 0.002). The presence of CHD and additional chronic diseases (especially diabetes mellitus, hypertension, and chronic kidney disease) are important parameters associated with the risk of poor sleep quality (p = 0.040 < 0.05).

CONCLUSION

Increases in blood urea nitrogen level in individuals with CHD are associated with worse sleep quality. Additional chronic diseases coexisting with CHD correlate with increased risk of poor sleep quality.

Increasing systemic chronic inflammation mediated the association between poor sleep during pregnancy and gestational cardiovascular health

OBJECTIVES

This study aimed to examine the association between sleep behaviors and cardiovascular health (CVH) during pregnancy and test whether high-sensitivity C-reactive protein (hs-CRP) mediates this association.

METHODS

The study included 4204 pregnant women from the Maternal and Infant Health cohort study in Hefei (MIH-Hefei). Information on sleep (chronotype, sleep duration, snoring, daytime sleepiness, and insomnia) was collected through a touch-screen structured questionnaire at 16-23 weeks' gestation. CVH (body mass index, blood pressure, total cholesterol, glucose, and smoking) and hs-CRP were measured at 24-28 weeks' gestation. The role of hs-CRP in the association between sleep and CVH was explored in a mediation analysis, while adjusting for multiple confounding factors.

RESULTS

Poor sleep score was significantly associated with poor gestational CVH metrics, including an RR of 0.872 (95% CI, 0.810, 0.938) for having all ideal (vs. any nonideal) CVH metrics; hs-CRP level was significantly associated with poor gestational CVH metrics, including an RR of 0.531 (95% CI, 0.432, 0.609) for having all ideal (vs. any nonideal) CVH metrics. Sleep scores were positively correlated with hs-CRP level (β, 0.020, 95% CI, 0.006, 0.034). Mediation analysis revealed that the association between sleep and CVH mediated by hs-CRP was 12.31% (indirect effect, -0.0095, 95% CI, -0.0167, -0.0042).

CONCLUSIONS

Poor sleep during pregnancy, particularly late chronotype and snoring, may worsen CVH by increasing systemic chronic inflammation.

Sleep Duration and Metabolic Syndrome among Early Adolescents-A Cross-Sectional Study in Khartoum State, Sudan

Numerous studies have reported that sleep disorders are linked to poor health outcomes. However, studies on these associations in children and adolescents in an African context are limited. The aim of the present study was to analyze the relationship between sleep duration and the presence of metabolic syndrome among early adolescents in Sudan. Methods: A cross-sectional study was conducted on participants aged 10-15 years in Khartoum State, Sudan. Metabolic syndrome (MetS) was diagnosed by increased waist circumference and the presence of two or more metabolic abnormalities (triglycerides [TG], high-density lipoproteins [HDL-C], blood pressure [BP], and fasting plasma glucose [FBG]). Short sleep duration was defined based on National Sleep Foundation (NSF) classification. Data were collected by physical examinations, biochemical analyses, and self-developed standardized questionnaires. Data were analyzed with IBM SPSS Statistics Version 24. A generalized additive model (GAM) was used for the smoothing function between sleep duration and MetS. p < 0.05 was considered as significant. Results: The prevalence of MetS and short sleep among early adolescents aged 10-15 years in Sudan was 2.3% and 55.0%, respectively. A higher prevalence of short sleep was found among overweight and obese participants (p < 0.05). The prevalence of MetS among short sleepers was 2.8%. Binary logistic regression analysis showed that male short sleepers had higher odds of having MetS compared to female short sleepers. The relationship between short sleep and low HDL-C in boys and between short sleep and high TG in girls was statistically significant. The highest risk of MetS was observed at less than 6.5 h of sleep per night. Conclusions: Short sleep duration was significantly associated with overweight/obesity in the total population and with low HDL-C in boys and high triglycerides in girls. A nonlinear curve pattern was observed between sleep duration and prevalence of MetS. Longitudinal studies are needed to further determine the causal relationship between sleep habits and MetS and its components.

Multidimensional Sleep and Cardiometabolic Risk Factors for Type 2 Diabetes: Examining Self-Report and Objective Dimensions of Sleep

Purpose:

The purpose of the study was to determine the association between objective and self-report measures of sleep and cardiometabolic risk factors for type 2 diabetes.

Methods:

This study examines data on Australian adults, collected as part of the Child Health CheckPoint study. Sleep was examined in terms of actigraphy-derived sleep duration, timing, efficiency and variability; and self-report trouble sleeping. Cardiometabolic risk factors for type 2 diabetes were examined in terms of body mass index and biomarkers of inflammation and dyslipidemia. Generalized estimating equations, adjusted for geographic clustering, were used to determine the association between measures of sleep and cardiometabolic risk factors.

Results:

Complete case analysis was conducted for 1017 parents (87% mothers). Both objective and self-report measures of sleep were significantly but weakly associated with cardiometabolic risk factors.

Conclusion:

Both objective and self-report measures of sleep are significantly associated with cardiometabolic risk factors for type 2 diabetes. Self-report troubled sleep is associated with poorer cardiometabolic health, independent of actigraphy-derived sleep parameters.

Prevalence of sleep-disordered breathing in an African general population: The Benin Society and Sleep (BeSAS) study

BACKGROUND

Data on the prevalence of sleep-disordered breathing (SDB) in the African general population are scarce, and a better understanding is urgently needed. Our study aimed to objectively determine the prevalence of, and factors associated with, SDB in a large sample in Benin, west Africa.

METHODS

In the Benin Society and Sleep (BeSAS) cross-sectional study, participants aged 25 years and older were recruited from both urban and rural areas. Rural participants were recruited from Tanve, a village located 200 km north of Cotonou, and urban participants were recruited from Cotonou. The participants underwent respiratory polygraphy at home using a type-3 device that measures airflow through a nasal pressure sensor, respiratory effort (thoracic movement), and pulse oximetry. Clinical and morphometric data were also collected. SDB severity categories were defined according to the apnoea-hypopnoea index (AHI), with mild-to-severe SDB (AHI ≥5/h), moderate-to-severe SDB (AHI ≥15/h), and severe SDB (AHI ≥30/h).

FINDINGS

The study was completed from April 4, 2018 to Jan 15, 2021. Of 2909 participants recruited in the BeSAS study, 2168 (74·5%) underwent respiratory polygraphy. For the 1810 participants with complete polygraphic data (mean age 46 years, SD 15; 1163 [64·2%] women), the prevalence of mild-to-severe SDB (AHI ≥5/h) was 43·2% (95% CI 40·9-45·5), of moderate-to-severe SDB (AHI ≥15/h) was 11·6% (10·2-13·1), and of severe SDB (AHI ≥30/h) was 2·7% (2·0-3·5). Factors independently associated with SDB were advanced age, male sex, large neck circumference, abdominal obesity, overweight or obesity, and snoring. After multivariable adjustment, severe SDB was independently associated with hypertension in women (odds ratio 3·99, 95% CI 1·04-15·33; p_trend=0·044), but not in men (odds ratio 0·67, 0·22-2·05; P_trend=0·63).

INTERPRETATION

The BeSAS study provides the first large-scale objective evaluation of SDB prevalence and associated factors in Africa. The high prevalence of SDB identified should stimulate the development of public health policies to prevent and treat this condition in African countries.

FUNDING

Ligue Pulmonaire Vaudoise, Switzerland.

Validation of the French Cues to CPAP Use Questionnaire in patients with OSAS: A step forward for evaluating cues to CPAP use in order to predict treatment adherence

PURPOSE

The cues to starting CPAP are important in patients with Obstructive Sleep Apnea Syndrome (OSAS) to predict CPAP use and behavioral change. The Cues to CPAP Use Questionnaire (CCUQ) is a short practical self-reported scale to evaluate such cues to action. This study sought to examine the psychometric reliability and validity of the French version.

METHODS

A forward-backward translation of the CCUQ was performed. Principal research tools were CCUQ, SEMSA and ESS. Subjects with OSAS were invited to complete the CCUQ just before CPAP initiation and 10 days after CPAP initiation. The ESS was completed just before CPAP initiation and one month after CPAP initiation. The SEMSA was completed just before CPAP initiation. Statistical analyses methods aim to evaluate the psychometric properties of the French CCUQ version in terms of its construct validity, internal structural validity, test-retest and external validity. Mean CPAP use on the previous month was recorded at one, six and twelve months after CPAP initiation.

RESULTS

A total of 140 patients with OSAS were included with 61.4% of men and a mean age of 55.3 (±12.9), BMI of 29.8 (±4.9), initial ESS of 11.97 (±5.68), and initial AHI 37.2/h (±19.3). Factor analysis confirmed the three-factor structure of the CCUQ. Cronbach's alpha coefficient was 0.64. Test-retest reliability (at t-0 and at 10 days) of the CCUQ was satisfactory. External validity shown significant correlation of the CCUQ with SEMSA and of the dimension "Partner cues" of the CCUQ with mean CPAP use at one month.

CONCLUSION

The French CCUQ scale is a reliable and valid tool for measuring cues to action in adults with OSAS initiating CPAP treatment. Further studies are necessary to confirm the predictive value of cues to action and self-efficacy for CPAP use and adherence. Such investigations would underpin public health CPAP interventions in accordance with models of behavioral change.

Integrated role of lifestyle habits in cardiometabolic risk factors according to sex in adolescents

Background: A healthy lifestyle should be adopted by young people to maintain cardiometabolic health. Aim: To verify the prevalence and the integrated role of lifestyle habits in cardiometabolic risk factors according to sex in adolescents. Subjects and methods: Cross-sectional study developed with 1,502 adolescents, aged 10 to 17 years. Lifestyle habits included physical activity, screen time and sleep duration evaluated through a questionnaire. Cardiometabolic risk score (CMRS) was calculated by summing z-scores, divided by six. For statistical analyses, multivariable binary and multinomial logistic regression models were used. Results: 80.7% of the boys classified with adverse CMRS presented physical inactivity, compared to normal CMRS. In girls, 42.6% showed inadequate sleep compared to normal CMRS. Boys classified as inactive showed higher odds for obesity, as well as altered triglycerides, and systolic blood pressure, risk for cardiorespiratory fitness (CRF), high waist circumference, and CMRS, compared to the active. A prolonged screen time increased the odds for altered glucose and decreased the odds for altered triglycerides. In girls, inadequate sleep duration presented higher odds for overweight, obesity, risk for CRF, and high CMRS, compared to adequate sleep. Conclusions: Physical activity for boys and sleep duration for girls are important to maintain healthy metabolic health among youth.

Sleep and Risk for Metabolic Syndrome, Hypertension, Diabetes and Obesity Among Community-Dwelling Older Adults

Older adults often face a variety of health problems that are found less frequently in younger populations. Metabolic syndrome and other related diseases are common due to a variety of age and lifestyle factors. Sleep, often operationalized only as duration, quality, or apnea diagnosis, is associated with worse health outcomes across the lifespan. However, sleep is multi-faceted and may require a collection of measures in order to reflect this. This study examined a suite of self-reported sleep habits (risk for sleep apnea, night time duration, nap duration, quality, timing, and consistency of duration and timing) and physiological data in a sample of 144 older adults. Sleep-related variables as a group predicted risk for metabolic syndrome, hypertension, and diabetes but was not a clear predictor of obesity. Of the individual measures, risk for apnea and consistency of sleep duration throughout the week predicted risk for metabolic syndrome (apnea b = .64, p < .05; duration inconsistencies b = .22, p < .05). The findings of the study suggest that greater consistency in sleep schedules may benefit the health of older adult populations' risk for these disorders.

Impact of obstructive sleep apnea on cardiometabolic health in a random sample of older adults in rural South Africa: building the case for the treatment of sleep disorders in underresourced settings

STUDY OBJECTIVES

The association between obstructive sleep apnea (OSA) and increased cardiometabolic risk (CMR) has been well documented in higher-income countries. However, OSA and its association with CMR have not yet been investigated, based on objective measures, in southern Africa. We measured polysomnography-derived sleep characteristics, OSA prevalence, and its association with cardiometabolic diseases in a rural, low-income, African-ancestry sample of older adult participants in South Africa.

METHODS

Seventy-five participants completed the study. Body mass index, hypertension, diabetes, dyslipidemia, and HIV status were determined. A continuous CMR score was calculated using waist circumference, random glucose, high-density-lipoprotein cholesterol, triglycerides, and mean arterial blood pressure. Sleep architecture, arousal index, and apnea-hypopnea index for detection of the OSA (apnea-hypopnea index ≥ 15 events/h) were assessed by home-based polysomnography. Associations between CMR score and age, sex, socioeconomic status, apnea-hypopnea index, and total sleep time were investigated by multivariable analysis.

RESULTS

In our sample (53 women, age 66.1 ± 10.7 years, 12 HIV+), 60.7% of participants were overweight/obese, 61.3% were hypertensive, and 29.3% had undiagnosed OSA. Being older (P = .02) and having a higher body mass index (P = .02) and higher waist circumference (P < .01) were associated with OSA. Apnea-hypopnea index severity (β = 0.011; P = .01) and being a woman (β = 0.369; P = .01) were independently associated with a higher CMR score in socioeconomic status- and age-adjusted analyses.

CONCLUSIONS

In this South African community with older adults with obesity and hypertension, OSA prevalence is alarming and associated with CMR. We show the feasibility of detecting OSA in a rural setting using polysomnography. Our results highlight the necessity for actively promoting health education and systematic screening and treatment of OSA in this population to prevent future cardiovascular morbidity, especially among women.

Sleep and cardiometabolic risk: a cluster analysis of actigraphy-derived sleep profiles in adults and children

STUDY OBJECTIVES

Sleep plays an important role in cardiometabolic health. Although the importance of considering sleep as a multidimensional construct is widely appreciated, studies have largely focused on individual sleep characteristics. The association between actigraphy-derived sleep profiles and cardiometabolic health in healthy adults and children has not been examined.

METHODS

This study used actigraphy-measured sleep data collected between February 2015 and March 2016 in the Child Health CheckPoint study. Participants wore actigraphy monitors (GENEActiv Original, Cambs, UK) on their nondominant wrist for 7 days and sleep characteristics (period, efficiency, timing, and variability) were derived from raw actigraphy data. Actigraphy-derived sleep profiles of 1,043 Australian children aged 11-12 years and 1,337 adults were determined using K-means cluster analysis. The association between cluster membership and biomarkers of cardiometabolic health (blood pressure, body mass index, apolipoproteins, glycoprotein acetyls, composite metabolic syndrome severity score) were assessed using Generalized Estimating Equations, adjusting for geographic clustering, with sex, socioeconomic status, maturity stage (age for adults, pubertal status for children), and season of data collection as covariates.

RESULTS

Four actigraphy-derived sleep profiles were identified in both children and adults: short sleepers, late to bed, long sleepers, and overall good sleepers. The overall good sleeper pattern (characterized by adequate sleep period time, high efficiency, early bedtime, and low day-to-day variability) was associated with better cardiometabolic health in the majority of comparisons (80%).

CONCLUSION

Actigraphy-derived sleep profiles are associated with cardiometabolic health in adults and children. The overall good sleeper pattern is associated with more favorable cardiometabolic health.

Liver Enzymes and Their Association with Some Cardiometabolic Diseases: Evidence from a Large Kurdish Cohort

Objective

According to reports, liver enzymes might play a role in the incidence and development of cardiometabolic diseases such as metabolic syndrome (MetS), hypertension (HTN), and cardiovascular diseases (CVD). We conducted a study to investigate this hypothesis among the Iranian Kurdish population.

Methods

We analyzed data from the baseline phase of the Ravansar noncommunicable disease (RaNCD) cohort. The association between liver enzymes (ALT, AST, ALT/AST ratio, GGT, and ALP) with cardiometabolic disease risk factors was investigated by multiple linear regression. The odds ratio of cardiometabolic diseases in each quartile category of liver enzyme concentration was estimated using multivariable logistic regression.

Results

The mean age of participants was 47.3 ± 4.1 years (48.1 years in males and 51.8 years in females). In the adjusted model, all enzymes were positively associated with MetS, HTN, and CVD risk factors except for the ALT/AST ratio with SBP and DBP. In the adjusted model, subjects in the fourth quartile for GGT, ALT/AST ratio, ALT, ALP, and AST had 3.29-, 2.94-, 2.45-, 2.00-, and 1.19-fold increased risk for MetS compared with subjects in the first quartile. Increased levels of GGT and ALP were positively associated with the risk of HTN (ORs = 1.33, 95%CI = 1.03-1.71 for GGT; ORs = 1.32, 95%CI = -1.68 for ALP). An increased GGT level was significantly associated with CVD (ORs = 1.54, 95%CI = 1.03-1.68). Within the normal range quartile, ALT had a significant correlation with the incidence of MetS.

Conclusion

According to the present study, the levels of liver enzymes could be considered for early diagnosis of MetS, HTN, and CVD.

Relationship between sleep duration and TV time with cardiometabolic risk in adolescents

Objective

To verify the association between sleep duration and television time with cardiometabolic risk and the moderating role of age, gender, and skin color/ethnicity in this relationship among adolescents.

Methods

Cross-sectional study with 1411 adolescents (800 girls) aged 10 to 17 years. Television time, sleep duration, age, gender, and skin color/ethnicity were obtained by self-reported questionnaire. Cardiometabolic risk was evaluated using the continuous metabolic risk score, by the sum of the standard z-score values for each risk factor: high-density lipoprotein cholesterol, triglycerides, glycemia, cardiorespiratory fitness, systolic blood pressure, and waist circumference. Generalized linear regression models were used.

Results

There was an association between television time and cardiometabolic risk (β, 0.002; 95% CI, 0.001; 0.003). Short sleep duration (β, 0.422; 95% CI, 0.012; 0.833) was positively associated with cardiometabolic risk. Additionally, age moderated the relationship between television time and cardiometabolic risk (β, − 0.009; 95% CI, − 0.002; − 0.001), suggesting that this relationship was stronger at ages 11 and 13 years (β, 0.004; 95% CI, 0.001; 0.006) compared to 13 to 15 years (β, 0.002; 95% CI, 0.001; 0.004). No association was found in older adolescents (β, 0.001; 95% CI, − 0.002; 0.002).

Conclusions

Television time and sleep duration are associated with cardiometabolic risk; adolescents with short sleep have higher cardiometabolic risk. In addition, age plays a moderating role in the relationship between TV time and cardiometabolic risk, indicating that in younger adolescents the relationship is stronger compared to older ones.

Perceived racial discrimination and risk of insomnia among middle-aged and elderly Black women

STUDY OBJECTIVE

To assess whether perceived racial discrimination is associated with insomnia among Black women.

METHODS

Data on everyday and lifetime racism and insomnia symptoms were collected from questionnaires administered in the Black Women's Health Study, an ongoing prospective cohort of Black women recruited in 1995 from across the United States. In 2009, participants completed five questions on the frequency of discriminatory practices in daily life (everyday racism) and six questions on ever experiencing unfair treatment in key institutional contexts (lifetime racism). In 2015, the Insomnia Severity Index was used to assess insomnia symptoms. We estimated odds ratios and 95% confidence intervals for associations of racism with insomnia, using multivariable logistic regression models adjusted for potential confounders.

RESULTS

The 26 139 participants in the analytic sample were 40-90 years old (median = 57 years, SD = 9.6 years). Higher levels of everyday racism and lifetime racism were positively associated with subthreshold (ptrend < .01) and clinical insomnia (ptrend < .01). Results remained unchanged after further adjustment for sleep duration and shift work.

CONCLUSIONS

Higher levels of perceived racism were associated with increased odds of insomnia among middle-aged and elderly Black women. Thus, perceived racism may contribute to multiple racial health disparities resulting from insomnia. Helping minority populations cope with their experiences of discrimination may decrease the significant public health impact of sleep disruption and subsequent diagnoses.

Insomnia Symptoms among African-American Older Adults in Economically Disadvantaged Areas of South Los Angeles

BACKGROUND

Although psychosocial and health factors impact insomnia symptoms, less is known about these effects in economically disadvantaged African-American older adults.

AIMS

This study investigated social and health determinants of insomnia symptoms among economically disadvantaged African-American older adults.

METHODS

This survey enrolled 398 African-American older adults (age ≥ 65 years) from economically disadvantaged areas of South Los Angeles. Gender, age, educational attainment, financial difficulty, number of chronic diseases, self-rated health, pain intensity, and depression were covariates. Total insomnia, insomnia symptoms, and insomnia impact were our outcomes. Linear regression was applied for data analysis.

RESULTS

Based on linear regression, higher financial difficulty (B = 0.48, 95% CI = 0.35-0.61), smoking status (B = 1.64, 95% CI = 0.13-3.16), higher pain intensity (B = 0.39, 95% CI = 0.11-0.67), higher number of chronic diseases (B = 0.34, 95% CI = 0.05-0.64), and more depressive symptoms (B = 0.35, 95% CI = 0.12-0.57) were associated with a higher frequency of insomnia symptoms. Based on a logistic regression model, lower age (B = 0.91, 95% CI = 0.91-1.00) and high financial difficulty (OR = 1.15, 95% CI = 1.08-1.24), pain (OR = 2.08, 95% CI = 1.14-3.80), chronic disease (OR = 1.27, 95% CI = 1.07-1.51) and depression (OR = 2.38, 95% CI = 1.22-4.65) were associated with higher odds of possible clinical insomnia. We also found specific predictors for insomnia symptoms and insomnia impact.

CONCLUSIONS

Among African-American older adults in economically disadvantaged areas of South Los Angeles, insomnia symptoms co-occur with other economic, physical, and mental health challenges such as financial difficulty, smoking, multimorbidity, pain, and depression. There is a need to address sleep as a component of care of economically disadvantaged African-American older adults who have multiple social and health challenges.