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- Baldanzi, Gabriel, et al.
(author)
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Evening chronotype is associated with elevated biomarkers of cardiometabolic risk in the EpiHealth cohort: a cross-sectional study
- 2022
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In: Sleep. - : Oxford University Press. - 0161-8105 .- 1550-9109. ; 45:2
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Journal article (peer-reviewed)abstract
- Study objectives: Individuals with evening chronotype have a higher risk of cardiovascular and metabolic disorders, although the underlying mechanisms are not well understood. In a population- based cohort, we aimed to investigate the association between chronotype and 242 circulating proteins from three panels of established or candidate biomarkers of cardiometabolic processes. Methods: In 2,471 participants (49.7% men, mean age 61.2±8.4 SD years) from the EpiHealth cohort, circulating proteins were analyzed with a multiplex proximity extension technique. Participants self- reported their chronotype on a five-level scale from extreme morning to extreme evening chronotype. With the intermediate chronotype set as the reference, each protein was added as the dependent variable in a series of linear regression models adjusted for confounders. Next, the chronotype coefficients were jointly tested and the resulting p-values adjusted for multiple testing using false discovery rate (5%). For the associations identified, we then analyzed the marginal effect of each chronotype category. Results: We identified 17 proteins associated with chronotype. Evening chronotype was positively associated with proteins previously linked to insulin resistance and cardiovascular risk, namely retinoic acid receptor protein 2, fatty acid-binding protein adipocyte, tissue-type plasminogen activator, and plasminogen activator inhibitor 1 (PAI-1). Additionally, PAI-1 was inversely associated with the extreme morning chronotype. Conclusions: In this population-based study, proteins previously related with cardiometabolic risk were elevated in the evening chronotypes. These results may guide future research in the relation between chronotype and cardiometabolic disorders.
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- Baldanzi, Gabriel, et al.
(author)
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OSA Is Associated With the Human Gut Microbiota Composition and Functional Potential in the Population-Based Swedish CardioPulmonary bioImage Study
- 2023
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In: Chest. - : Elsevier. - 0012-3692 .- 1931-3543. ; 164:2, s. 503-516
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Journal article (peer-reviewed)abstract
- BACKGROUND: Obstructive sleep apnea (OSA) is a common sleep-breathing disorder linked to increased risk of cardiovascular disease. Intermittent hypoxia and intermittent airway obstruction, hallmarks of OSA, have been shown in animal models to induce substantial changes to the gut microbiota composition and subsequent transplantation of fecal matter to other animals induced changes in blood pressure and glucose metabolism.RESEARCH QUESTION: Does obstructive sleep apnea in adults associate with the composition and metabolic potential of the human gut microbiota?STUDY DESIGN AND METHODS: We used respiratory polygraphy data from up to 3,570 individuals aged 50-64 from the population-based Swedish CardioPulmonary bioImage Study combined with deep shotgun metagenomics of fecal samples to identify cross-sectional associations between three OSA parameters covering apneas and hypopneas, cumulative sleep time in hypoxia and number of oxygen desaturation events with gut microbiota composition. Data collection about potential confounders was based on questionnaires, on-site anthropometric measurements, plasma metabolomics, and linkage with the Swedish Prescribed Drug Register.RESULTS: We found that all three OSA parameters were associated with lower diversity of species in the gut. Further, the OSA-related hypoxia parameters were in multivariable-adjusted analysis associated with the relative abundance of 128 gut bacterial species, including higher abundance of Blautia obeum and Collinsela aerofaciens. The latter species was also independently associated with increased systolic blood pressure. Further, the cumulative time in hypoxia during sleep was associated with the abundance of genes involved in nine gut microbiota metabolic pathways, including propionate production from lactate. Lastly, we observed two heterogeneous sets of plasma metabolites with opposite association with species positively and negatively associated with hypoxia parameters, respectively.INTERPRETATION: OSA-related hypoxia, but not the number of apneas/hypopneas, is associated with specific gut microbiota species and functions. Our findings lay the foundation for future research on the gut microbiota-mediated health effects of OSA.
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- Bengtsson, Caroline, et al.
(author)
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Impact of nasal obstruction on sleep quality : a community-based study of women
- 2015
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In: European Archives of Oto-Rhino-Laryngology. - : Springer Science and Business Media LLC. - 0937-4477 .- 1434-4726. ; 272:1, s. 97-103
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Journal article (peer-reviewed)abstract
- The aim of the study was to analyse the impact of self-reported nasal obstruction on sleep quality in women. A community-based sample of 400 women underwent a full night of polysomnography. Airway diseases, allergies and sleep-related symptoms were assessed by questionnaires. Women with subjective nasal obstruction were subdivided into three groups: persistent nasal obstruction (PNO, n = 46), hay fever (n = 88) and nasal obstruction at night (NON, n = 30). Sleep problems and related daytime symptoms were most prevalent among women with NON. After adjusting for age, BMI, smoking and asthma, NON was an independent predictor of 'Difficulties inducing sleep due to nasal obstruction' [adjusted odds ratio (95 % CI): 89.5 (27.0-296.7)], 'Snoring' [4.2 (1.7-10.2)], 'Sweating at night' [2.6 (1.1-6.1)], 'Difficulties maintaining sleep' [2.7 (1.2-6.2)], and 'Waking up hastily gasping for breath' [32.2 (8.7-119.1)]. 'Dry mouth on awakening' [7.7 (3.2-18.4)], 'Waking up unrefreshed' [2.7 (1.2-6.0)], 'Excessive daytime sleepiness' [2.6 (1.1-6.0)], and 'Daytime nasal obstruction' [12.2 (4.8-31.2)] were also associated with NON. Persistent nasal obstruction and hay fever were both associated with some reported sleep problems due to an overlap with NON. When women with NON were excluded, only 'Daytime nasal obstruction' was still significantly associated with PNO, while hay fever was associated with 'Daytime nasal obstruction' and 'Waking up hastily gasping for breath'. There were no significant differences in objectively measured sleep variables between any of the three subgroups and the study cohort. Self-reported nasal obstruction at night in women has a significant effect on several subjective day- and nighttime symptoms, but it does not appear to affect objectively measured sleep quality.
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- Bengtsson, Caroline, 1975-
(author)
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Nasal obstruction – impact on insomnia symptoms and sleep-disordered breathing
- 2019
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Doctoral thesis (other academic/artistic)abstract
- Background: Nasal obstruction is very common in the general population, but the role of nasal obstruction in sleep quality is not clear. Nasal obstruction is also prevalent in patients with obstructive sleep apnoea (OSA) and may contribute to poor adherence to continuous positive airway pressure (CPAP) treatment.Aims: To investigate the impact of subjective nasal obstruction, as a single symptom or as part of chronic rhinosinusitis (CRS), in both objective and subjective sleep quality, in three different population based cohorts. Another aim was to investigate the usefulness of the Sinonasal Outcome Test-22 (SNOT-22) and peak nasal inspiratory flow (PNIF) in the treatment of OSA patients.Methods and results: In paper I (the SHE-study), a community-based sample of 400 women were investigated with polysomnography and questions on sleep quality, daytime- and nasal symptoms. Women with nasal obstruction at night (n=30) had significantly higher prevalence of several night time symptoms and excessive daytime sleepiness (EDS), but the polysomnography was normal.In paper II (the GA2LEN study, n= 26, 647) and paper III (RHINE II and RHINE III studies, n= 5, 145) questionnaires on sleep quality, daytime- and nasal symptoms were used, and CRS was defined according to the epidemiological diagnostic criteria of the European Position Paper of Rhinosinusitis and Nasal Polyps (EPOS). In paper II, sleep problems were highly prevalent in CRS, and there was a dose-response relationship between the disease severity of CRS and sleep problems. The addition of persistent allergic rhinitis to CRS further increased the risk of sleep problems.In paper III, 2.7% of individuals without nasal symptoms at baseline had developed CRS at follow-up 10 years later. Strong associations between incident CRS and impaired sleep quality and EDS were found. Three insomnia symptoms at baseline increased the risk for CRS at follow-up.In paper IV, 197 OSA patients initiating CPAP treatment were investigated before starting CPAP and at the follow-up 3-4 weeks later. SNOT-22 scores were generally high among all OSA patients indicating a large sinonasal disease burden, and improved among those with CPAP adherence ≥ 4 hours/night. A low PNIF value increased the risk for poor CPAP adherence.Conclusions: Subjective nasal obstruction at night impairs subjective sleep quality in women, but does not affect objective sleep quality. CRS impairs subjective sleep quality, and insomnia symptoms may be a risk factor for CRS. SNOT-22 and PNIF may be useful tools in the treatment of OSA patients.
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- Bengtsson, Caroline, et al.
(author)
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Sinonasal outcome test-22 and peak nasal inspiratory flow : valuable tools in obstructive sleep apnoea
- 2020
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In: Rhinology. - 0300-0729 .- 1996-8604. ; 58:4, s. 341-348
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Journal article (peer-reviewed)abstract
- Background: Sinonasal complaints contribute to low adherence to continuous positive airway pressure (CPAP) treatment. We aimed to investigate sinonasal health in obstructive sleep apnoea (OSA) patients, using the sinonasal outcome test-22 (SNOT-22), and to analyse whether SNOT-22 is affected by CPAP adherence. We also aimed to investigate whether peak nasal inspiratory flow (PNIF) was able to predict adherence to CPAP. Methods:The study population comprised 197 OSA patients (60 females) initiating CPAP treatment The SNOT-22, PNIF and the Epworth Sleepiness Scale were assessed at baseline and follow-up. One-night polygraphy, the Hospital Anxiety and Depression Scale, peak expiratory flow and health-related issues were assessed at baseline. At follow-up, the patients were categorised into adherent (>4 hours/night) and non-adherent (<4 hours/night) to CPAP treatment. Results: The average time for following up CPAP treatment was (mean +/- SD) 24.0 +/- 23.9 days and it did not differ significantly between the groups.The SNOT-22 score was elevated among all OSA patients, 36.1 +/- 19.4.There was a larger improvement in the SNOT-22 score at follow-up among adherent CPAP users compared with non-adherent users (-10.4 +/- 13.9 vs. -3.2 +/- 15.4). A PNIF value of < 100 litres/min increased the risk of non-adherence to CPAP with an adjusted odds ratio (OR) of 2.40 ((95% CI 1.16-5.00)). Conclusions: The SNOT-22 was elevated in patients with OSA, indicating a considerable sinonasal disease burden.The SNOT-22 improved with good CPAP adherence. A low PNIF value was able to predict poor CPAP adherence. Both the SNOT-22 and PNIF can be valuable tools in the evaluation of OSA patients and in the management of CPAP treatment.
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- Björklund, Filip, et al.
(author)
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Breathlessness and exercise performance to predict mortality in long-term oxygen therapy : The population-based DISCOVERY study
- 2023
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In: Respiratory Medicine. - : Elsevier. - 0954-6111 .- 1532-3064. ; 216
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Journal article (peer-reviewed)abstract
- BACKGROUND: Patients with chronic respiratory failure treated with long-term oxygen therapy (LTOT) often have severe breathlessness, impaired exercise performance, and high but variable mortality that is difficult to predict. We aimed to evaluate breathlessness and exercise performance upon starting LTOT as predictors of overall and short-term mortality.METHODS: This was a longitudinal, population-based study of patients who initiated LTOT between 2015 and 2018 in Sweden. Breathlessness was measured using the Dyspnea Exertion Scale, and exercise performance using the 30s-Sit-To-Stand test. Associations with overall and three-month mortality were analyzed using Cox-regression. Subgroup analyses were performed for patients with chronic obstructive pulmonary disease (COPD) and interstitial lung disease (ILD) respectively. The predictive capacity of models was assessed using a C-statistic.RESULTS: A total of 441 patients (57.6% female, aged 75.4 ± 8.3 years) were analyzed, of whom 141 (32%) died during a median follow-up of 260 (IQR 75-460) days. Both breathlessness and exercise performance were independently associated with overall mortality in the crude models, but only exercise performance remained independently associated with overall mortality when models were adjusted for other predictors, when short-term mortality was analyzed, or when breathlessness and exercise capacity were analyzed concurrently. The multivariable model including exercise performance but not breathlessness provided a relatively high predictive capacity for overall mortality, C-statistic 0.756 (95% CI 0.702-0.810). Similar results were seen in the COPD and ILD subgroups.CONCLUSION: Exercise performance as measured by the 30s-STS may be useful to identify patients with higher mortality on LTOT for optimized management and follow-up.
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- Björklund, Filip, et al.
(author)
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Breathlessness and exercise performance to predict mortality in long-term oxygen therapy
- 2023
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In: European Respiratory Journal. - : European Respiratory Society. - 0903-1936 .- 1399-3003. ; 62:Suppl. 67
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Journal article (other academic/artistic)abstract
- Background: Patients with chronic respiratory failure treated with long-term oxygen therapy (LTOT) often have severe breathlessness, impaired exercise performance, and high but variable mortality that is difficult to predict. We aimed to evaluate breathlessness and exercise performance upon starting LTOT as predictors of overall and short-term mortality.Methods: This was a longitudinal, population-based study of patients who initiated LTOT between 2015-2018 in Sweden. Breathlessness was measured using the Dyspnea Exertion Scale, and exercise performance using the 30s-Sit-To-Stand test. Associations with overall and three-month mortality were analyzed using Cox-regression. Subgroup analyses were performed for patients with COPD and ILD respectively. The predictive capacity of models was assessed using a C-statistic.Results: A total of 441 patients (57.6% female, aged 75.4±8.3 years) were analyzed. Both breathlessness and exercise performance were independently associated with overall mortality in the crude models, but only exercise performance remained independently associated with overall mortality when models were adjusted for other predictors, when three-month mortality was analyzed, or when breathlessness and exercise capacity were analyzed concurrently. The multivariable model including exercise performance but not breathlessness provided a relatively high predictive capacity for overall mortality, C-statistic 0.756 (95% CI 0.702-0.810). Similar results were seen in the COPD and ILD subgroups.Conclusion: Exercise performance as measured by the 30s-STS may be useful to identify patients with higher mortality on LTOT for optimized management and follow-up.
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- Cai, Gui-Hong, et al.
(author)
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Both weight at age 20 and weight gain have an impact on sleep disturbances later in life : Results of the EpiHealth study
- 2018
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In: Sleep. - : Oxford University Press (OUP). - 0161-8105 .- 1550-9109. ; 41:1
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Journal article (peer-reviewed)abstract
- Study Objectives: Obesity is often associated with impaired sleep, whereas the impact of body mass index (BMI) at younger age and previous weight gain on sleep problems remains unknown. Methods: The present study utilized data from the Swedish EpiHealth cohort study. A total of 15845 participants (45–75 years) filled out an internet-based questionnaire. BMI was calculated from both measured data at study time and self-reported data at age 20 from the questionnaire. Results: Sleep-related symptoms were most common among obese individuals (BMI > 30 kg/m2). An association between weight gain and sleep problems was found and those with a low BMI at age 20 were most vulnerable to weight gain when it came to risk of sleep problems. Among those who were underweight (BMI < 18.5 kg/m2) at age 20, weight gain (kg/year) was associated with difficulties initiating sleep with an adjusted OR of 2.64 (95% CI: 1.51–4.62) after adjusting for age, sex, smoking, alcohol consumption, physical activity, education, and civil status. The corresponding adjusted OR’s among those who had been normal weight (BMI 18.5–24.99) and overweight (BMI 25–29.99 kg/m2) at age 20 were 1.89 (1.47–2.45) and 1.02 (0.48–2.13), respectively. Also difficulties maintaining sleep and snoring were most strongly related to weight gain among those who were underweight at age 20 with decreasing odds with increasing BMI at that age. Conclusions: Sleep problems are related to weight gain and obesity. The impact of weight is most pronounced among those who had a low BMI when young.
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- Cai, Gui-Hong, et al.
(author)
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Insomnia symptoms and sleep duration and their combined effects in relation to associations with obesity and central obesity
- 2018
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In: Sleep Medicine. - : Elsevier BV. - 1389-9457 .- 1878-5506. ; 46, s. 81-87
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Journal article (peer-reviewed)abstract
- Objective: Previous studies have shown that both sleep duration and insomnia have an impact on obesity and central obesity. However, studies of the joint effects of these sleep disorders are still sparse. Methods: The present study utilized data from the Swedish EpiHealth cohort study. Participants (45 - 78 y) were asked to fill out an internet-based questionnaire. Body mass index (BMI) and central obesity (calculated from waist circumference) were based on measured data. Results: A total of 18,823 participants (mean age = 60 ys) were included in this study. The reported prevalence of short (<6 h/night) and long (>9 h/night) sleep duration was 8% and 4% respectively, and insomnia symptoms was 19%. Of the study population, 16% were obese (BMI >= 30 kg/m(2)) and 40% had central obesity. There was a U-shaped association between sleep duration and obesity and central obesity, and significant associations between insomnia symptoms and obesity. When stratifying sleep duration by concurrent insomnia symptoms, there were associations (odds ratios, (95% confidence intervals)) between the combination of both short (1.48, (1.22-1.80)) and long sleep duration (1.77 (1.00 - 3.16)) with insomnia symptoms and obesity and central obesity (1.36 (1.16-1.61) and 2.44 (1.41-3.24) respectively). However, there was no significant association between insomnia symptoms and obesity or central obesity in participants with normal sleep duration. For central obesity there was an association with long sleep duration regardless of insomnia symptoms, while the association with short sleep duration was significant only if insomnia symptoms were present. Conclusions: Both short and long sleep duration, as well as insomnia symptoms, are associated with obesity and central obesity. There is an important joint effect of sleep duration and insomnia symptoms and there is no association between insomnia symptoms and obesity, as long as a normal sleeping time can be attained. This indicates that sleep duration rather than insomnia symptoms per se is of importance for the relationship between sleep and obesity.
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- Ekstrom, M., et al.
(author)
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Validation of the Swedevox registry of continuous positive airway pressure, long-term mechanical ventilator and long-term oxygen therapy
- 2021
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In: Erj Open Research. - : European Respiratory Society (ERS). - 2312-0541. ; 7:1
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Journal article (peer-reviewed)abstract
- Background: The Swedish Registry of Respiratory Failure (Swedevox) collects nationwide data on patients starting continuous positive airway pressure (CPAP) treatment, long-term mechanical ventilator (LTMV) and long-term oxygen therapy (LTOT). We validated key information in Swedevox against source data from medical records. Methods: This was a retrospective validation study of patients starting CPAP (n=175), LTMV (n=177) or LTOT (n=175) across seven centres 2013-2017. Agreement with medical record data was analysed using differences in means (SD) and proportion (%) of a selection of clinically relevant variables. Variables of interest included for CPAP: apnoea-hypopnoea index (AHI), height, weight, body mass index (BMI) and Epworth Sleepiness Scale (ESS) score; for LTMV: date of blood gas, arterial carbon dioxide tension (P-aCO2) (breathing air), weight and diagnosis group; and for LTOT: blood gases breathing air and oxygen, spirometry and main diagnosis. Results: Data on CPAP and LTOT had very high validity across all evaluated variables (all <5% discrepancy). For LTMV, variability was higher against source information for P-aCO2 (>0.5 kPa in 25.9%), weight (>5 kg in 47.5%) and diagnosis group. Inconsistency was higher for patients starting LTMV acutely versus electively (P-aCO2 difference >0.5 kPa in 36% versus 21%, p<0.05, respectively). However, there were no signs of systematic bias (mean differences close to zero) across the evaluated variables. Conclusion: Validity of Swedevox data, compared with medical records, was very high for CPAP, LTMV and LTOT. The large sample size and lack of systematic differences support that Swedevox data are valid for healthcare quality assessment and research.
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- Emilsson, Össur Ingi, et al.
(author)
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Insufficient sleep and new onset of nocturnal gastroesophageal reflux among women : a longitudinal cohort study
- 2022
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In: Journal of Clinical Sleep Medicine (JCSM). - : American Academy of Sleep Medicine (AASM). - 1550-9389 .- 1550-9397. ; 18:7, s. 1731-1737
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Journal article (peer-reviewed)abstract
- Study Objectives: Whether short or insufficient sleep are risk factors for new-onset nocturnal gastroesophageal reflux (nGER). Methods: In this 10-year longitudinal study, adult general-population women in Uppsala, Sweden, answered questionnaires on sleep, nGER, and other conditions on 2 occasions. Participants at baseline totaled 6,790, while participants at follow-up totaled 4,925. "Short sleep" was defined as sleeping < 6 hours/night and "insufficient sleep" was defined as reporting an average actual sleep duration below 80% of the self-estimated need for sleep duration but without "short sleep." nGER was defined as reporting heartburn or acid reflux after going to bed sometimes, often, or very often. The confounding factors-age, body mass index, physical activity, caffeine intake, smoking habits, alcohol dependence, depression, anxiety, and snoring-were defined from the questionnaire. Results: At baseline, 839 participants reported short sleep and 1,079 participants were defined as having insufficient sleep. Both participants with insufficient sleep and short sleep had nGER more often than those with sufficient sleep (26% vs 17% vs 10%, respectively). At follow-up, a new onset of nGER was twice as common among those with insufficient or short sleep at baseline and follow-up, compared with those with sufficient sleep at baseline and follow-up, even after adjusting for confounding factors (odds ratio 2.0 [1.5-2.8], P <.001). Conclusions: Insufficient sleep and short sleep are associated with nGER. Persistent insufficient and/or short sleep independently increases the risk of developing nGER over a 10-year follow-up. Women seeking treatment for nGER should be questioned about their sleep habits to identify insufficient sleep as a possible causative factor.
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- Ghilotti, Francesca, et al.
(author)
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Relationship between sleep characteristics and markers of inflammation in Swedish women from the general population
- 2021
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In: Journal of Sleep Research. - : Wiley. - 0962-1105 .- 1365-2869. ; 30:2
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Journal article (peer-reviewed)abstract
- Systemic inflammation is thought to mediate the link between sleep and cardiovascular outcomes, but previous studies on sleep habits and inflammation markers have found inconsistent results. This study investigated the relationship between sleep characteristics and C-reactive protein (CRP), interleukin-6 (IL-6) and tumor necrosis factor alpha (TNF alpha). A representative sample of 319 Swedish women was randomly selected from the general population for in-home polysomnography, sleep questionnaire and blood samples. As variables were highly correlated, principal component analysis was used to reduce the number of original variables. Linear regression with log-transformation of the outcomes (lnCRP, lnIL-6 and lnTNF alpha) and quantile regression were fitted to estimate cross-sectional relationships. Multivariable linear regression models suggested a significant association of insomnia symptoms (self-reported) with higher lnCRP levels (beta = 0.11; 95% confidence interval [CI] = 0.02; 0.21), but not with lnIL-6 and lnTNF alpha. From quantile regression analysis we found that a high non-restorative index (subjective) and insomnia symptoms (self-reported) were associated with higher values of CRP, especially in the highest quantiles of the CRP distribution (90th percentile: beta = 0.71; 95% CI = 0.17; 1.24. beta = 1.23; 95% CI = 0.44; 2.02, respectively). Additionally, higher amounts of rapid eye movement (REM) sleep were associated with lower CRP values (90th percentile: beta = -0.80; 95% CI = -0.14; -1.46). In conclusion, sleep disturbances (self-reported), specifically difficulties maintaining sleep and early morning awakenings, but not sleep duration (neither subjective nor objective), were associated with higher CRP levels. No association was found with IL-6 or TNF alpha. Elevated REM sleep was associated with lower CRP levels. The results suggest that inflammation might be an intermediate mechanism linking sleep and health in women.
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19. |
- Grote, Ludger, 1964, et al.
(author)
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National Knowledge-Driven Management of Obstructive Sleep Apnea-The Swedish Approach
- 2023
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In: Diagnostics. - : MDPI AG. - 2075-4418. ; 13:6
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Journal article (peer-reviewed)abstract
- Introduction: This paper describes the development of "Swedish Guidelines for OSA treatment" and the underlying managed care process. The Apnea Hypopnea Index (AHI) is traditionally used as a single parameter for obstructive sleep apnea (OSA) severity classification, although poorly associated with symptomatology and outcome. We instead implement a novel matrix for shared treatment decisions based on available evidence. Methods: A national expert group including medical and dental specialists, nurses, and patient representatives developed the knowledge-driven management model. A Delphi round was performed amongst experts from all Swedish regions (N = 24). Evidence reflecting treatment effects was extracted from systematic reviews, meta-analyses, and randomized clinical trials. Results: The treatment decision in the process includes a matrix with five categories from a "very weak"" to "very strong" indication to treat, and it includes factors with potential influence on outcome, including (A) OSA-related symptoms, (B) cardiometabolic comorbidities, (C) frequency of respiratory events, and (D) age. OSA-related symptoms indicate a strong incitement to treat, whereas the absence of symptoms, age above 65 years, and no or well-controlled comorbidities indicate a weak treatment indication, irrespective of AHI. Conclusions: The novel treatment matrix is based on the effects of treatments rather than the actual frequency of respiratory events during sleep. A nationwide implementation of this matrix is ongoing, and the outcome is monitored in a prospective evaluation by means of the Swedish Sleep Apnea Registry (SESAR).
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21. |
- Johansson, Peter, 1975-, et al.
(author)
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Development and performance of a sleep estimation algorithm using a single accelerometer placed on the thigh : an evaluation against polysomnography
- 2023
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In: Journal of Sleep Research. - : John Wiley & Sons. - 0962-1105 .- 1365-2869. ; 32:2
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Journal article (peer-reviewed)abstract
- Accelerometers placed on the thigh provide accurate measures of daily physical activity types, postures and sedentary behaviours, over 24 h and across consecutive days. However, the ability to estimate sleep duration or quality from thigh-worn accelerometers is uncertain and has not been evaluated in comparison with the 'gold-standard' measurement of sleep polysomnography. This study aimed to develop an algorithm for sleep estimation using the raw data from a thigh-worn accelerometer and to evaluate it in comparison with polysomnography. The algorithm was developed and optimised on a dataset consisting of 23 single-night polysomnography recordings, collected in a laboratory, from 15 asymptomatic adults. This optimised algorithm was then applied to a separate evaluation dataset, in which, 71 adult males (mean [SD] age 57 [11] years, height 181 [6] cm, weight 82 [13] kg) wore ambulatory polysomnography equipment and a thigh-worn accelerometer, simultaneously, whilst sleeping at home. Compared with polysomnography, the algorithm had a sensitivity of 0.84 and a specificity of 0.55 when estimating sleep periods. Sleep intervals were underestimated by 21 min (130 min, Limits of Agreement Range [LoAR]). Total sleep time was underestimated by 32 min (233 min LoAR). Our results evaluate the performance of a new algorithm for estimating sleep and outline the limitations. Based on these results, we conclude that a single device can provide estimates of the sleep interval and total sleep time with sufficient accuracy for the measurement of daily physical activity, sedentary behaviour, and sleep, on a group level in free-living settings.
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22. |
- Kamble, Prasad G., et al.
(author)
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Sleep apnea in men is associated with altered lipid metabolism, glucose tolerance, insulin sensitivity, and body fat percentage
- 2020
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In: Endocrine. - : Springer. - 1355-008X .- 1559-0100. ; 70, s. 48-57
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Journal article (peer-reviewed)abstract
- Purpose: Obstructive sleep apnea (OSA) is associated with obesity and risk for type 2 diabetes. In this community-based study, we thoroughly investigated fatty acid metabolism, incretin response, glucose tolerance, insulin secretion and insulin sensitivity, and autonomic nerve activity in men with or without OSA.Methods: Fifteen men without diabetes but with signs of severe OSA, defined as apnea–hypopnea index (AHI) >30, and 15 age- and BMI-matched men without OSA (AHI < 5) were recruited from a community-based cohort. Assessments included clinical and anthropometric measurements, a 2-h oral glucose tolerance test (OGTT), and autonomic nerve activity using heart rate variability (HRV).Results: Men with OSA had higher body fat % than BMI-matched men without OSA (p = 0.046) and it was associated with markers of insulin resistance. The area under the curve for nonesterified fatty acids (NEFA) during OGTT was higher in men with OSA (p = 0.021) and fasting NEFA levels were numerically higher (p = 0.097). The plasma glucose at fasting and during OGTT was higher in men with OSA (p < 0.001). Incretin response was similar between groups. Fasting and OGTT-derived indices indicated impaired insulin sensitivity in men with OSA. Compared with men without OSA, Matsuda index (p = 0.068) and Gutt index (p < 0.01) were lower in men with OSA. The HRV measures did not differ between groups.Conclusions: Our study suggests that fatty acid handling, glucose tolerance, and insulin sensitivity are impaired in men with severe OSA. This might partly be explained by the increased body fat percentage.
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23. |
- Lindberg, Eva, et al.
(author)
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Sleep apnea and glucose metabolism : a long-term follow-up in a community-based sample
- 2012
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In: Chest. - : Elsevier BV. - 0012-3692 .- 1931-3543. ; 142:4, s. 935-942
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Journal article (peer-reviewed)abstract
- BACKGROUND:It has been suggested that sleep-disordered breathing (SDB) is a risk factor for diabetes, but long-term follow-ups are lacking. The aim of this community-based study was to analyze the influence of SDB on glucose metabolism after more than 10 years.METHODS:Men without diabetes (n=141, mean age 57.5 years) were investigated at baseline, including whole-night respiratory monitoring. After a mean period of 11 years and 4 months, they were followed up with an interview, anthropometric measurements and blood sampling. Insulin resistance was quantified using the homeostasis model assessment (HOMA). ΔHOMA-IR was calculated as (HOMA-IR(follow-up) - HOMA-IR(baseline)). An oral glucose tolerance test was performed in 113 men to calculate the insulin sensitivity index (ISI).RESULTS:The mean apnea-hypopnea index (AHI) and oxygen desaturation index (ODI) at baseline were 4.7 and 3.3, respectively. At the follow-up, 23 men had diabetes. An oxygen desaturation index (ODI) of >5 was a predictor of developing diabetes (adj. OR 4.4, 95% CI 1.1-18.1 after adjusting for age, BMI(baseline,) ΔBMI, hypertension and years with CPAP during the period). The ODI was inversely related to the ISI at the follow-up (r= -0.27, p=0.003). A deterioration in HOMA-IR was significantly related to all variables of sleep-disordered breathing (AHI, AHI>5, ODI, ODI>5 and MinSaO2) even when adjusting for confounders. When excluding the variable "years on CPAP" from the multivariate model, all associations weakened.CONCLUSIONS:SDB is independently related to the development of insulin resistance and thereby the risk of manifest diabetes mellitus.
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24. |
- Ljunggren, Mirjam, et al.
(author)
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Association between obstructive sleep apnea and elevated levels of type B natriuretic peptide in a community-based sample of women
- 2012
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In: Sleep. - : Oxford University Press (OUP). - 0161-8105 .- 1550-9109. ; 35:11, s. 1521-1527
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Journal article (peer-reviewed)abstract
- Study Objectives:Obstructive sleep apnea (OSA) is associated with an increased risk of cardiovascular disease. One contributory factor may be hemodynamic stress due to the negative intrathoracic pressure during each episode of apnea. Type B natriuretic peptide (BNP) is secreted by the cardiac ventricles in response to volume expansion and pressure load and the authors hypothesized that there would be an association between indices of OSA during the night and levels of BNP in the morning.Setting:Community-based in Uppsala, Sweden.Participants:There were 349 women who participated.Measurements and Results:Participants underwent full-night polysomnography and anthropometric measurements, and answered questionnaires about medical conditions and current medication. The morning after the polysomnography, blood samples were drawn for analysis of plasma BNP, C-reactive protein, creatinine, and hemoglobin. There was an increase in mean BNP as the severity of sleep apnea increased, increasing from a mean value of 8.5 ng/L among women with an apnea-hypopnea index (AHI) < 5 to 18.0 ng/L in women with an AHI = 30. Elevated BNP levels (= 20 ng/L) were found in 29.8% of the women, whereas 70.2% had normal levels. The odds ratio was 2.2 for elevated BNP levels for women with an AHI of 5-14.9 in relation to women with an AHI < 5, 3.1 for women with an AHI of 15-29.9, and 4.6 for women with an AHI = 30 after adjustment for age, body mass index, systolic blood pressure, antihypertensive drugs, and creatinine.Conclusions:There is a dose-response relationship in women between the severity of sleep apnea during the night and the levels of BNP in the morning.
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25. |
- Ljunggren, Mirjam, et al.
(author)
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Association between proteomics and obstructive sleep apnea phenotypes in a community-based cohort of women
- 2020
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In: Journal of Sleep Research. - : John Wiley & Sons. - 0962-1105 .- 1365-2869. ; 29:4
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Journal article (peer-reviewed)abstract
- Proteomic‐based technologies offer new opportunities to identify proteins that might reflect the cardiometabolic stress caused by different aspects of sleep‐disordered breathing. We aimed to investigate whether severe obstructive sleep apnea and severe obstructive sleep apnea during rapid eye movement sleep are associated with changed levels of inflammatory and cardiac disease‐related proteins in a population‐based cohort of women. In the community‐based “Sleep and Health in Women” (SHE) cohort study, 400 women underwent polysomnography, anthropometric measurements and blood sampling. Two proteomic assays (Olink Proseek® Inflammation panel and Olink Proseek® Cardiovascular II panel), each measuring 92 proteins, were analysed in a subsample of 253 women. p‐Values were adjusted for multiple testing, with false discovery rate set at 10%. In unadjusted models, 57 proteins were associated with apnea−hypopnea index, 56 proteins with oxygen desaturation index and 64 proteins with rapid eye movement−apnea−hypopnea index. After adjustment for age, body mass index and plate, there were no significant associations between apnea−hypopnea index or oxygen desaturation index and any of the proteins. Severe obstructive sleep apnea during rapid eye movement sleep (rapid eye movement−apnea−hypopnea index ≥ 30) was associated with decreased levels of two anti‐inflammatory proteins; Sirt2 (q‐value .016) and LAP‐TGF‐β1 (q‐value .016). There was also a negative association between rapid eye movement−apnea−hypopnea index of ≥ 30 and Axin1 (q‐value .095), a protein thought to facilitate TGF‐β‐signalling. We conclude that severe obstructive sleep apnea during rapid eye movement sleep is associated with low levels of Sirt2, LAP‐TGF‐β1 and Axin1, anti‐inflammatory proteins involved in metabolic regulation and in the atherosclerotic process. For obstructive sleep apnea based on a whole night, the associations with cardiac and inflammatory proteins are weaker, and explained to a large extent by age and body mass index.
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