scholarly journals Polysomnographic indicators of restorative sleep and body mass trajectories in the Wisconsin Sleep Cohort Study

SLEEP ◽  
2021 ◽  
Author(s):  
Eric N Reither ◽  
Jodi H Barnet ◽  
Mari Palta ◽  
Yin Liu ◽  
Erika W Hagen ◽  
...  
Keyword(s):  
Cohort Study ◽  
Body Mass ◽  
Rem Sleep ◽  
Regression Models ◽  
Late Life ◽  
Public Health Policies ◽  
Sleep Studies ◽  
Bmi Trajectories ◽  
Mixed Regression ◽  
Restorative Sleep

Abstract Study Objectives Previous research suggests that reductions in restorative, slow-wave (N3), and rapid eye movement (REM) sleep are associated with weight gain and obesity in mid-to-late life. We extend prior work by examining how within-person (WP) changes and between-person (BP) differences in restorative sleep over several years are associated with body mass trajectories among participants in the Wisconsin Sleep Cohort Study (WSCS). Methods We used data from 4,862 polysomnographic (PSG) sleep studies and physical exams collected from 1,187 WSCS participants over an average duration of 14.9 years. Primary measures of interest included body mass index (BMI = kg/m2) and the percentages of time spent in N3 and REM sleep. We estimated a series of linear mixed regression models to examine how WP changes and BP differences in N3 and REM sleep affected BMI trajectories, controlling for other sleep measures, demographic characteristics, and health behaviors as potential confounders. Results Women in the WSCS experienced more rapid BMI gain than men. With some variation by sex, we found that (1) below-average N3 and REM sleep is associated with above-average BMI, and (2) within-person decreases in N3 and REM sleep over time are associated with gains in BMI. These findings persisted after adjustment for sleep duration and other potential confounders. Conclusions Our findings highlight the importance of PSG indices of restorative sleep in mid-to-late life, suggesting that future clinical treatments and public health policies will benefit from heightened attention to sleep quality.

scholarly journals Polysomnographic Indicators of Restorative Sleep and Body Mass Trajectories in the Wisconsin Sleep Cohort Study

2020 ◽  
Vol 4 (Supplement_1) ◽  
pp. 636-636
Author(s):  
Eric Reither ◽  
Jodi Barnet ◽  
Mari Palta ◽  
Yin Liu ◽  
Erika Hagen ◽  
...  
Keyword(s):  
Cohort Study ◽  
Body Mass ◽  
Rem Sleep ◽  
Late Life ◽  
Health Policies ◽  
Men And Women ◽  
Public Health Policies ◽  
Sleep Studies ◽  
Restorative Sleep

Abstract Previous research suggests that reductions in restorative sleep—i.e., slow-wave (N3) and rapid-eye movement (REM) sleep—are associated with weight gain and obesity in mid-to-late life. This study extends prior work by examining how within-person changes and between-person differences in restorative sleep are associated with body mass trajectories among participants in the Wisconsin Sleep Cohort Study (WSCS). We used data from 4,862 polysomnographic sleep studies and physical exams collected from 1,187 WSCS participants over an average follow-up duration of 15 years. For both men and women, we found that (1) below-average N3 and REM sleep is associated with above-average BMI, and (2) within-person loss of N3 and REM sleep is associated with larger gains in BMI, particularly between ages 30-50. Our findings highlight the importance of restorative sleep in mid-to-late life, suggesting that future clinical treatments and public health policies will benefit from heightened attention to sleep quality.

scholarly journals Long-term body mass index changes in overweight and obese adults and the risk of heart failure, cardiovascular disease and mortality: a cohort study of over 260,000 adults in the UK

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Barbara Iyen ◽  
Stephen Weng ◽  
Yana Vinogradova ◽  
Ralph K. Akyea ◽  
Nadeem Qureshi ◽  
...  
Keyword(s):  
Heart Failure ◽  
Cardiovascular Disease ◽  
Body Mass Index ◽  
Cohort Study ◽  
Body Mass ◽  
World Health ◽  
Obese Adults ◽  
Bmi Trajectories ◽  
The Impact

Abstract Background Although obesity is a well-recognised risk factor for cardiovascular disease (CVD), the impact of long-term body mass index (BMI) changes in overweight or obese adults, on the risk of heart failure, CVD and mortality has not been quantified. Methods This population-based cohort study used routine UK primary care electronic health data linked to secondary care and death-registry records. We identified adults who were overweight or obese, free from CVD and who had repeated BMI measures. Using group-based trajectory modelling, we examined the BMI trajectories of these individuals and then determined incidence rates of CVD, heart failure and mortality associated with the different trajectories. Cox-proportional hazards regression determined hazards ratios for incident outcomes. Results 264,230 individuals (mean age 49.5 years (SD 12.7) and mean BMI 33.8 kg/m2 (SD 6.1)) were followed-up for a median duration of 10.9 years. Four BMI trajectories were identified, corresponding at baseline, with World Health Organisation BMI classifications for overweight, class-1, class-2 and class-3 obesity respectively. In all four groups, there was a small, stable upwards trajectory in BMI (mean BMI increase of 1.06 kg/m2 (± 3.8)). Compared with overweight individuals, class-3 obese individuals had hazards ratios (HR) of 3.26 (95% CI 2.98–3.57) for heart failure, HR of 2.72 (2.58–2.87) for all-cause mortality and HR of 3.31 (2.84–3.86) for CVD-related mortality, after adjusting for baseline demographic and cardiovascular risk factors. Conclusion The majority of adults who are overweight or obese retain their degree of overweight or obesity over the long term. Individuals with stable severe obesity experience the worst heart failure, CVD and mortality outcomes. These findings highlight the high cardiovascular toll exacted by continuing failure to tackle obesity.

scholarly journals Trajectories of body mass index in adulthood and all-cause and cause-specific mortality in the Melbourne Collaborative Cohort Study

BMJ Open ◽  
2019 ◽  
Vol 9 (8) ◽  
pp. e030078 ◽  
Author(s):  
Yi Yang ◽  
Pierre-Antoine Dugué ◽  
Brigid M Lynch ◽  
Allison M Hodge ◽  
Amalia Karahalios ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Cohort Study ◽  
Body Mass ◽  
Early Adulthood ◽  
Class Ii ◽  
Class I Obesity ◽  
Specific Mortality ◽  
Bmi Trajectories ◽  
Melbourne Collaborative Cohort Study ◽  
Never Smokers

ObjectiveLimited research has assessed the association between patterns of body mass index (BMI) change across adulthood and mortality. We aimed to identify groups of individuals who followed specific group-based BMI trajectories across adulthood, using weight collected on three occasions and recalled data from early adulthood, and to examine associations with all-cause and cause-specific mortality.DesignProspective cohort study.SettingMelbourne, Australia.ParticipantsAdults (n=29 881) enrolled in the Melbourne Collaborative Cohort Study, who were aged from 40 to 70 years between 1990 and 1994, and had BMI data for at least three time points.OutcomeDeaths from any cause before 31 March 2017 and deaths from obesity-related cancers, cardiovascular diseases (CVDs) and other causes before 31 December 2013.ResultsWe identified six group-based BMI trajectories: lower-normal stable (TR1), higher-normal stable (TR2), normal to overweight (TR3), chronic borderline obesity (TR4), normal to class I obesity (TR5) and overweight to class II obesity (TR6). Generally, compared with maintaining lower-normal BMI throughout adulthood, the lowest mortality was experienced by participants who maintained higher-normal BMI (HR 0.90; 95% CI 0.84 to 0.97); obesity during midlife was associated with higher all-cause mortality even when BMI was normal in early adulthood (HR 1.09; 95% CI 0.98 to 1.21) and prolonged borderline obesity from early adulthood was also associated with elevated mortality (HR 1.16; 95% CI 1.01 to 1.33). These associations were stronger for never-smokers and for death due to obesity-related cancers. Being overweight in early adulthood and becoming class II obese was associated with higher CVD mortality relative to maintaining lower-normal BMI (HR 2.27; 95% CI 1.34 to 3.87).ConclusionOur findings highlight the importance of weight management throughout adulthood to reduce mortality.

scholarly journals Socioeconomic inequalities in children’s weight, height and BMI trajectories in Norway

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Teferi Mekonnen ◽  
Eleni Papadopoulou ◽  
Onyebuchi A. Arah ◽  
Anne Lise Brantsæter ◽  
Nanna Lien ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Body Mass ◽  
Social Inequalities ◽  
Mixed Effects ◽  
Linear Mixed Effects ◽  
Parental Income ◽  
Educational Differences ◽  
Bmi Trajectories ◽  
Study Population ◽  
Weight Velocity

AbstractStudies exploring when social inequalities in body mass index (BMI) and its composites emerge and how these evolve with age are limited. Thus, this study explored parental income and education related inequalities in children’s weight, height, weight velocity and body mass index among Norwegian children from 1 month to 8 years. The study population included 59,927 family/children pairs participating in the Norwegian Mother, Father, and Child Cohort Study. Growth was modelled using the Jenss–Bayley model and linear mixed effects analyses were conducted. Maternal and paternal educational differences in children’s weight and BMI trajectories emerged during infancy, continuing to age 8 years. Parental income-related inequalities in children’s weight were observed from the age of 1 month to 4 years for maternal and up to 1 year for paternal income-related differences but then disappeared. Parental income-related inequalities in child’s BMI were observed from 18 months to 8 years for maternal income, and from 9 months to 8 years for paternal income-related differences. These results suggest that social inequalities in children’s BMI present early in infancy and continue to 8 years of age. The inequalities sometimes differed by indicator of socioeconomic position used. Interventions to combat these inequalities early in life are, thus needed.

scholarly journals Risk factors for mortality, ICU admission and bacteremia in patients suspected of sepsis at the Emergency department. A prospective cohort study

2020 ◽  
Author(s):  
Valentino D’Onofrio ◽  
Agnes Meersman ◽  
Sara Vijgen ◽  
Reinoud Cartuyvels ◽  
Peter Messiaen ◽  
...  
Keyword(s):  
Risk Factors ◽  
Cohort Study ◽  
Regression Models ◽  
Serum Lactate ◽  
Suspected Sepsis ◽  
Logistic Regression Models ◽  
Icu Admission ◽  
Observational Cohort ◽  
Independent Risk Factors ◽  
Prediction Of Prognosis

Abstract Background There is a clear need for a better assessment of independent risk factors for in-hospital mortality, ICU admission, and bacteremia in patients presenting with suspected sepsis at the ED. Methods A prospective observational cohort study including 1690 patients was performed. Two multivariable logistic regression models were used to identify independent risk factors. Results SOFA score of ≥2 and serum lactate of ≥2mmol/L were associated with all outcomes. Other independent risk factors were individual SOFA variables and SIRS variables but varied per outcome. MAP<70 mmHg negatively impacted all outcomes. Conclusion These readily available measurements can help with early risk stratification and prediction of prognosis.

scholarly journals Socio-Economic Position, Cancer Incidence and Stage at Diagnosis: A Nationwide Cohort Study in Belgium

Cancers ◽  
2021 ◽  
Vol 13 (5) ◽  
pp. 933
Author(s):  
Michael Rosskamp ◽  
Julie Verbeeck ◽  
Sylvie Gadeyne ◽  
Freija Verdoodt ◽  
Harlinde De Schutter
Keyword(s):  
Breast Cancer ◽  
Lung Cancer ◽  
Cohort Study ◽  
Cancer Incidence ◽  
Regression Models ◽  
Female Breast Cancer ◽  
Stage At Diagnosis ◽  
Female Breast ◽  
Economic Parameters ◽  
Economic Position

Background: Socio-economic position is associated with cancer incidence, but the direction and magnitude of this relationship differs across cancer types, geographical regions, and socio-economic parameters. In this nationwide cohort study, we evaluated the association between different individual-level socio-economic and -demographic factors, cancer incidence, and stage at diagnosis in Belgium. Methods: The 2001 census was linked to the nationwide Belgian Cancer Registry for cancer diagnoses between 2004 and 2013. Socio-economic parameters included education level, household composition, and housing conditions. Incidence rate ratios were assessed through Poisson regression models. Stage-specific analyses were conducted through logistic regression models. Results: Deprived groups showed higher risks for lung cancer and head and neck cancers, whereas an inverse relation was observed for malignant melanoma and female breast cancer. Typically, associations were more pronounced in men than in women. A lower socio-economic position was associated with reduced chances of being diagnosed with known or early stage at diagnosis; the strongest disparities were found for male lung cancer and female breast cancer. Conclusions: This study identified population groups at increased risk of cancer and unknown or advanced stage at diagnosis in Belgium. Further investigation is needed to build a comprehensive picture of socio-economic inequality in cancer incidence.

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