| 1. |
- Baldanzi, Gabriel, et al.
(författare)
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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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Ingår i: Sleep. - : Oxford University Press. - 0161-8105 .- 1550-9109. ; 45:2
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Tidskriftsartikel (refereegranskat)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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| 2. |
- Cai, Gui-Hong, et al.
(författare)
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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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Ingår i: Sleep. - : Oxford University Press (OUP). - 0161-8105 .- 1550-9109. ; 41:1
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Tidskriftsartikel (refereegranskat)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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| 3. |
- Cai, Gui-Hong, et al.
(författare)
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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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Ingår i: Sleep Medicine. - : Elsevier BV. - 1389-9457 .- 1878-5506. ; 46, s. 81-87
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Tidskriftsartikel (refereegranskat)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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| 4. |
- Rydell, Andreas, et al.
(författare)
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Cardiovascular disease-linked plasma proteins are mainly associated with lung volume
- 2023
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Ingår i: ERJ Open Research. - : European Respiratory Society. - 2312-0541. ; 9:2
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Tidskriftsartikel (refereegranskat)abstract
- BACKGROUND: Epidemiological studies have shown that impaired lung function is common and associated with increased risk of cardiovascular disease. Increased levels of several inflammatory and cardiovascular disease-related plasma proteins have been associated with impaired lung function. The aim was to study the association between plasma proteomics and forced expiratory volume in 1 s (FEV1), forced vital capacity (FVC) and FEV1/FVC ratio.METHODS: We used a discovery and replication approach in two community-based cohorts, EpiHealth and the Malmö Offspring Study (total n=2874), to cross-sectionally study 242 cardiovascular disease- and metabolism-linked proteins in relation to FEV1, FVC (both % predicted) and FEV1/FVC ratio. A false discovery rate of 5% was used as the significance threshold in the discovery cohort.RESULTS: Plasma fatty acid-binding protein 4, interleukin-1 receptor antagonist, interleukin-6 and leptin were negatively associated with FEV1 and paraoxonase 3 was positively associated therewith. Fatty acid-binding protein 4, fibroblast growth factor 21, interleukin-1 receptor antagonist, interleukin-6 and leptin were negatively associated with FVC and agouti-related protein, insulin-like growth factor-binding protein 2, paraoxonase 3 and receptor for advanced glycation end products were positively associated therewith. No proteins were associated with FEV1/FVC ratio. A sensitivity analysis in EpiHealth revealed only minor changes after excluding individuals with known cardiovascular disease, diabetes or obesity.CONCLUSIONS: Five proteins were associated with both FEV1 and FVC. Four proteins associated with only FVC and none with FEV1/FVC ratio, suggesting associations mainly through lung volume, not airway obstruction. However, additional studies are needed to investigate underlying mechanisms for these findings.
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| 5. |
- Svartengren, Magnus, et al.
(författare)
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The impact of body mass index, central obesity and physical activity on lung function : results of the EpiHealth study
- 2020
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Ingår i: ERJ Open Research. - : European Respiratory Society (ERS). - 2312-0541. ; 6:4
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Tidskriftsartikel (refereegranskat)abstract
- Study objectives: Obesity is often associated with lower lung function; however, the interaction of lung function with central obesity and physical inactivity is less clear. As such, we investigated the effect on lung function of body size (body mass index (BMI)), central obesity (waist circumference (WC)) and self-reported physical activity.Methods: Lung function, height, weight and WC were measured in 22 743 participants (12 791 women), aged 45-75 years, from the EpiHealth cohort study. Physical activity, gender and educational level were assessed using a questionnaire.Results: Obesity, central obesity and physical inactivity were all associated with lower forced expiratory volume in 1 s (FEV1) and forced vital capacity (FVC). However, in participants without central obesity there was an increase in both FEV1 and FVC by BMI (% predicted FVC increasing from median 98%, interquartile range (IQR) 89-110% in underweight participants (BMI <20) to 103%, IQR 94-113% in obese participants (BMI ≥30)). In contrast, there was a decrease in % predicted FVC in participants with central obesity (from 98%, IQR 89-109% in the normal weight group to 95%, IQR 85-105% in the obese weight group). We further found a negative association between physical activity and lung function among those with low and high levels of physical activity (% predicted FEV1 97%, IQR 86-107% versus 103%, IQR 94-113%, respectively and % predicted FVC 96%, IQR 85-106% versus 103%, IQR 94-113%, respectively). All results remained when calculated by z-scores.Conclusions: The association between BMI and lung function is dependent on the presence of central obesity. Independent of obesity, there is an association between physical activity and lung function.
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| 6. |
- Theorell-Haglöw, Jenny, et al.
(författare)
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Sleep duration is associated with healthy diet scores and meal patterns : Results from the population-based EpiHealth study
- 2020
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Ingår i: Journal of Clinical Sleep Medicine. - 1550-9389. ; 16:1, s. 9-18
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Tidskriftsartikel (refereegranskat)abstract
- Study Objectives: To investigate relationships between sleep duration and adherence to healthy diets, but also associations with meal patterns, in a large population-based cohort. Methods: Participants (n = 23,829, males and females, aged 45 to 75 years) from the Swedish EpiHealth cohort study were included in a cross-sectional analysis. The participants filled out an extensive Internet-based questionnaire, and also visited a test center for anthropometric measurements and blood sampling. Sleep duration was classified as short (< 6 h/night; n = 1,862), normal (6 to less fewer than 9 h/night; n = 19,907) and long sleep (≥ 9 h/night; n = 858). In addition, a combination variable of sleep duration (short/normal/long) and sleep quality (good/poor) was constructed, giving six categories. Adherence to a healthy diet was assessed using the modified Mediterranean diet (mMED) score and the Healthy Nordic Food Index (HNFI) score based on food groups from a food frequency questionnaire. A regular meal pattern was considered if the participant had breakfast, lunch and dinner on a daily basis. Results: Compared with normal sleepers, short sleepers displayed lower adherence to a healthy diet when using both the mMED score (adjusted odds ratio = 0.70; 95% confidence interval 0.56-0.88) and the HNFI score (0.70; 0.56-0.88). When combining sleep duration and sleep quality, short sleepers with poor sleep quality showed an independent relationship with low adherence to a healthy diet (0.67; 0.52-0.86) compared with normal sleepers with good sleep quality. In addition, both short sleepers (0.71; 0.62-0.82) and long sleepers (0.75; 0.62-0.91) showed low adherence to regular meal patterns, compared with normal sleepers. Furthermore, short sleepers with poor sleep quality had reduced odds of having a regular meal pattern (0.67; 0.57-0.79) as compared with normal sleepers with good sleep quality. Conclusions: Short sleep duration combined with poor sleep quality is associated with low adherence to a healthy diet and regular meal patterns.
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| 7. |
- Theorell-Haglöw, Jenny, et al.
(författare)
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Sleep duration is associated with protein biomarkers for cardiometabolic health : A large-scale population study
- 2021
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Ingår i: Journal of Sleep Research. - : John Wiley & Sons. - 0962-1105 .- 1365-2869. ; 30:5
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Tidskriftsartikel (refereegranskat)abstract
- Sleep problems and short sleep duration have been linked to adverse health effects, such as cardiovascular disease and diabetes, but the mechanisms are not fully understood. Finding biomarkers could explain mechanistic pathways and help in understanding relationships between sleep and cardiometabolic health. The aim was to assess if sleep duration and sleep quality affect the cardiometabolic-related protein profile. In total, 242 proteins related to cardiometabolic health were measured in 2,430 plasma samples (male:female ratio 1:1, aged 45–75 years) from the population-based EpiHealth cohort, using a proximity extension assay. The association of self-reported sleep duration and sleep quality with each of the 242 proteins (primary outcome) was assessed with linear regression modelling, adjusting for confounders, and corrected for multiple testing using the false discovery rate (5%). Potential effect modification of age and sex was also tested using an interaction term. We identified U-shaped associations between sleep duration and the plasma levels of the proteins follistatin (more prominent in younger individuals), matrix metallopeptidase 9 (men only), urokinase receptor, adrenomedullin and kidney injury molecule, all previously known to be related to cardiovascular risk. There was no relationship between sleep quality and any of the proteins, after adjustment for confounders. These results give new leads to investigate the potential mechanistic pathways between sleep and cardiometabolic health.
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