scholarly journals Changes In Self-Reported Sleep Duration With Age - A 36-Year Longitudinal Study of Finnish Adults

2020 ◽  
Author(s):  
Christer Hublin ◽  
Lassi Haasio ◽  
Jaakko Kaprio
Keyword(s):  
Sleep Duration ◽  
Regression Models ◽  
Age Groups ◽  
Population Based ◽  
Age Group ◽  
Weibull Regression ◽  
Adult Age ◽  
Sleep Length

Abstract Background: Sleep deprivation is often claimed to be increasingly common, but most studies show small changes in sleep duration over the last decades. Our aim was to analyze long-term patterns in self-reported sleep durationin a population-based cohort.Methods: Members ofthe Older Finnish Twin Cohort have responded to questionnaires in 1975 (N = 30,915 individuals,response rate 89%, mean age 36 years), 1981 (24,506, 84%, 41 years), 1990 (12,502,77%, 44 years), and 2011 (8510, 72%, 60 years).Weibull regression models were used to model the effects of follow-up time and age simultaneously.Results: Sleep duration has decreased in all adult age groups and in both genders.The mean duration was in men 7.57 hours in 1975 and 7.39 in 2011, and in women 7.69 and 7.37, respectively. The decrease was about 0.5minutes in men and 0.9in women per year of follow-up. In the age-group 18-34 years, mean sleep length was 7.69 hours in 1975 and 7.53 in 1990. Among 35-54-year-old it was 7.57 hours in 1975 and 7.34 in 2011, and in the age group of 55+ year olds7.52 and 7.38, correspondingly. The change was largest in middle-aged group: about 23 minutes or about 0.6 minutes per year of follow-up.Conclusions: There has been a slight decrease in mean sleep duration during the 36-year follow-up.Although the sleep duration was longer in 1970s and 1980s, the probablemain cause for the change in this study populationis the effect of aging.

scholarly journals Changes in self-reported sleep duration with age - a 36-year longitudinal study of Finnish adults

2020 ◽  
Vol 20 (1) ◽  
Author(s):  
Christer Hublin ◽  
Lassi Haasio ◽  
Jaakko Kaprio
Keyword(s):  
Sleep Duration ◽  
Age Groups ◽  
Population Based ◽  
Age Group ◽  
Weibull Regression ◽  
Adult Age ◽  
Study Population ◽  
Sleep Length

Abstract Background Sleep deprivation is often claimed to be increasingly common, but most studies show small changes in sleep duration over the last decades. Our aim was to analyze long-term patterns in self-reported sleep duration in a population-based cohort. Methods Members of the Older Finnish Twin Cohort have responded to questionnaires in 1975 (N = 30,915 individuals, response rate 89%, mean age 36 years), 1981 (24,535, 84%, 41 years), 1990 (12,450, 77%, 44 years), and 2011 (8334, 72%, 60 years). Weibull regression models were used to model the effects of follow-up time and age simultaneously. Results Sleep duration has decreased in all adult age groups and in both genders. The mean duration was in men 7.57 h in 1975 and 7.39 in 2011, and in women 7.69 and 7.37, respectively. The decrease was about 0.5 min in men and 0.9 in women per year of follow-up. In the age-group 18–34 years, mean sleep length was 7.69 h in 1975 and 7.53 in 1990. Among 35–54-year-old it was 7.57 h in 1975 and 7.34 in 2011, and in the age group of 55+ year olds 7.52 and 7.38, correspondingly. The change was largest in middle-aged group: about 23 min or about 0.6 min per year of follow-up. Conclusions There has been a slight decrease in mean sleep duration during the 36-year follow-up. Although the sleep duration was longer in 1970s and 1980s, the probable main cause for the change in this study population is the effect of aging.

scholarly journals Changes In Self-Reported Sleep Duration With Age - A 36-Year Longitudinal Study Of Finnish Adults

2020 ◽  
Author(s):  
Christer Hublin ◽  
Lassi Haasio ◽  
Jaakko Kaprio
Keyword(s):  
Sleep Duration ◽  
Age Groups ◽  
Population Based ◽  
Age Group ◽  
Weibull Regression ◽  
Adult Age ◽  
Study Population ◽  
Sleep Length

Abstract Background: Sleep deprivation is often claimed to be increasingly common, but most studies show small changes in sleep duration over the last decades. Our aim was to analyze long-term patterns in self-reported sleep duration in a population-based cohort. Methods: Members of the Older Finnish Twin Cohort have responded to questionnaires in 1975 (N = 30,915 individuals, response rate 89%, mean age 36 years), 1981 (24,506, 84%, 41 years), 1990 (12,502, 77%, 44 years), and 2011 (8510, 72%, 60 years). Weibull regression models were used to model the effects of follow-up time and age simultaneously. Results: Sleep duration has decreased in all adult age groups and in both genders. The mean duration was in men 7.57 hours in 1975 and 7.39 in 2011, and in women 7.69 and 7.37, respectively. The decrease was about 0.5 minutes in men and 0.9 in women per year of follow-up. In the age-group 18-34 years, mean sleep length was 7.69 hours in 1975 and 7.53 in 1990. Among 35-54-year-old it was 7.57 hours in 1975 and 7.34 in 2011, and in the age group of 55+ year olds 7.52 and 7.38, correspondingly. The change was largest in middle-aged group: about 23 minutes or about 0.6 minutes per year of follow-up. Conclusions: There has been a slight decrease in mean sleep duration during the 36-year follow-up. Although the sleep duration was longer in 1970s and 1980s, the probable main cause for the change in this study population is the effect of aging.

scholarly journals Changes in Self-Reported Sleep Duration With Age - a 36-Year Longitudinal Study of Finnish Adults

2020 ◽  
Author(s):  
Christer Hublin ◽  
Lassi Haasio ◽  
Jaakko Kaprio
Keyword(s):  
Sleep Duration ◽  
Age Groups ◽  
Population Based ◽  
Age Group ◽  
Weibull Regression ◽  
Adult Age ◽  
Study Population ◽  
Sleep Length

Abstract Background Sleep deprivation is often claimed to be increasingly common, but most studies show small changes in sleep duration over the last decades. Our aim was to analyze long-term patterns in self-reported sleep duration in a population-based cohort. Methods Members of the Older Finnish Twin Cohort have responded to questionnaires in 1975 (N = 30,915 individuals, response rate 89%, mean age 36 years), 1981 (24,506, 84%, 41 years), 1990 (12,502, 77%, 44 years), and 2011 (8510, 72%, 60 years). Weibull regression models were used to model the effects of follow-up time and age simultaneously. Results Sleep duration has decreased in all adult age groups and in both genders. The mean duration was in men 7.57 hours in 1975 and 7.39 in 2011, and in women 7.69 and 7.37, respectively. The decrease was about 0.5 minutes in men and 0.9 in women per year of follow-up. In the age-group 18-34 years, mean sleep length was 7.69 hours in 1975 and 7.53 in 1990. Among 35-54-year-old it was 7.57 hours in 1975 and 7.34 in 2011, and in the age group of 55+ year olds 7.52 and 7.38, correspondingly. The change was largest in middle-aged group: about 23 minutes or about 0.6 minutes per year of follow-up. Conclusions There has been a slight decrease in mean sleep duration during the 36-year follow-up. Although the sleep duration was longer in 1970s and 1980s, the probable main cause for the change in this study population is the effect of aging.

scholarly journals A BAYESIAN WEIBULL ANALYSIS OF BREAST CANCER DATA WITH LONG-TERM SURVIVORS IN PARANA STATE, BRAZIL

2021 ◽  
Vol 39 (2) ◽  
pp. 293-310
Author(s):  
Talita Evelin Nabarrete Tristão de MORAES ◽  
Isolde PREVIDELLI ◽  
Giovani Loiola da SILVA
Keyword(s):  
Breast Cancer ◽  
Survival Data ◽  
White Women ◽  
Age Groups ◽  
Population Based ◽  
Breast Cancer Data ◽  
Weibull Regression ◽  
Cancer Data ◽  
Long Term Survivors

Breast cancer is one of the most common diseases among women worldwide with about 25% of new cases each year. In Brazil, 59,700 new cases of breast cancer were expected in 2019, according to the Brazilian National Cancer Institute (INCA). Survival analysis has been an useful tool for the identifying the risk and prognostic factors for cancer patients. This work aims to characterize the prognostic value of demographic, clinical and pathological variables in relation to the survival time of 2,092 patients diagnosed with breast cancer in Parana State, Brazil, from 2004 to 2016. In this sense, we propose a Bayesian analysis of survival data with long-term survivors by using Weibull regression models through integrated nested Laplace approximations (INLA). The results point to a proportion of long-term survivors around 57:6% in the population under study. In regard to potential risk factors, we namely concluded that 40-50 year age group has superior survival than younger and older age groups, white women have higher breast cancer risk than other races, and marital status decreases that risk. Caution on the general use of these results is nevertheless advised, since we have analyzed population-based breast cancer data without proper monitoring by a healthprofessional.

scholarly journals Incidence and Survival of Multiple Myeloma; A Population-Based Study on 10 961 Patients Diagnosed 1982-2017

Blood ◽  
2019 ◽  
Vol 134 (Supplement_1) ◽  
pp. 4380-4380 ◽  
Author(s):  
Øystein Langseth ◽  
Tor Åge Myklebust ◽  
Tom Børge Johannesen ◽  
Øyvind Hjertner ◽  
Anders Waage
Keyword(s):  
Multiple Myeloma ◽  
Age Groups ◽  
Relative Survival ◽  
Population Based ◽  
New Drugs ◽  
Steady Increase ◽  
Age Group ◽  
Calendar Period ◽  
Population Based Study

Background: Several population-based studies on multiple myeloma (MM) have shown an improvement in relative survival (RS) for patients aged 65 years or younger at the time of diagnosis. In patients aged 75 years or older, the improvement in long-term RS is absent in most reports or much less pronounced. To our knowledge, only 2 studies based on the Surveillance, Epidemiology and End Results (SEER) database have demonstrated a significant increase in RS for this age-group. (Pulte et al. 2011, Costa et al. 2017) We performed a population-based study on Norwegian MM-patients to provide up-to-date estimates on changes in relative survival during the past 3 decades. Methods: The Cancer Registry of Norway (CRN) was established in 1951 and provides high-quality nationwide cancer statistics. For MM, the reported completeness of case-ascertainment is above 95%. Incidence data and all reported cases of MM diagnosed between January 1, 1982 and December 31, 2017 were retrieved from the CRN (n=10 961). Nationwide drug consumption statistics for drugs used in myeloma treatment were retrieved from the Norwegian Drug Wholesales Statistics and the Norwegian Prescriptions Database, Norwegian Institute of Public Health. Follow-up ended December 31, 2017. The time of MM-diagnosis was divided into 7 categories: 1982-1987, 1988-1992 (melphalan-prednisone), 1993-1997(early high-dose melphalan with autologous stem-cell transplant (HDM-ASCT)), 1998-2002 (introduction of thalidomide), 2003-2007 (early thalidomide upfront, introduction of bortezomib), 2008-2012 (thalidomide and bortezomib upfront, introduction of lenalidomide), 2013-2017 (lenalidomide upfront, early pomalidomide, daratumumab, panobinostat and carfilzomib). Age at diagnosis was divided into 3 categories; <65 years, 65-79 years and 80 years or older. We estimated relative survival ratios (RSR) with 95% confidence intervals 5 and 10 years after the time of diagnosis by the Ederer-II method. The analysis was stratified by age-group and calendar period of diagnosis. Cohort analysis was applied to calendar periods with complete follow-up, and period analysis was applied where complete-follow up was not available (2013-2017 and 10-year estimates for 2008-2012). Non-overlapping confidence intervals were considered statistically significant. Results: The age-standardized incidence rate was stable until approximately year 2000, followed by an increasing tendency reaching 8.4 cases per 100 000 persons in 2017. Figure 1. Patients diagnosed before the age of 65 had a steady increase in both 5 and 10-year RSR across all calendar periods. For patients aged 65-79 years, the 5- and 10-year RSR's were stable at approximately 0.3 and 0.1, respectively, until the calendar period 1998-2002. In the following years, an improvement in both 5- and 10-year RSR was observed. The 5-year RSR improved significantly from 0.31 (95% CI; 0.27-0.35) in the first calendar period to 0.43 (95% CI;0.39- 0.47) during 2008-2012. The predicted 5-year RSR for 2013-2017 was 0.48 (95% CI; 0.44-0.52). There were also signs of improved 10-year RSR, predicted to 0.23 (95% CI; 0.18-0.27) during 2013-2017 compared to 0.11 (95% CI; 0.08-0.14) during 1982-1987. The 5-year RSR for patients aged 80+ years was 0.11 (95% CI; 0.01-0.17) during 1982-1987 and the 10-year RSR was 0.03 (95% CI; 0.01-0.11). In the following 4 calendar periods the RSR-estimates fluctuated before a rising tendency during the last 2 periods. The 5-year RSR improved significantly to 0.26 (95% CI; 0.20-0.32) during 2008-2012 and further rising to a predicted value of 0.32 (95% CI; 0.25-0.38) during 2013-2017. Figure 2. Additionally, complete annual prescription statistics for the oral agents thalidomide, lenalidomide and pomalidomide were obtained. Conclusions: We provide real-world observations on changes in RS in a population-based cohort of 10 961 MM-patients. We demonstrate an improvement in 5-year relative survival across all age-groups, including patients aged 80 years or older. For patients <65 years, there was a steady increase in RS since 1982 and we see no obvious impact of the implementation of HDM-ASCT. For the other age-groups, the improvement in RS coincides with the introduction of new drugs. The increase in incidence since 2000 may be due to increased testing for M-protein. We can point to the introduction of new drugs and increased incidence of indolent cases as possible reasons for increasing RS. Disclosures No relevant conflicts of interest to declare.

Abstract 13267: Age-Related Long-Term Benefit of Cardiac Resynchronization Therapy in LBBB Patients - a MADIT-CRT Long-Term Follow-Up Substudy

Circulation ◽  
2014 ◽  
Vol 130 (suppl_2) ◽  
Author(s):  
Sabu Thomas ◽  
Arthur J Moss ◽  
Wojciech Zareba ◽  
Scott McNitt ◽  
Alon Barsheshet ◽  
...  
Keyword(s):  
Heart Failure ◽  
Cardiac Resynchronization Therapy ◽  
Age Groups ◽  
Cardiac Resynchronization ◽  
Age Group ◽  
Resynchronization Therapy ◽  
All Cause Mortality ◽  
Long Term Follow Up

Background: Among patients with heart failure (HF), cardiac resynchronization therapy (CRT) combined with a defibrillator (CRT-D) reduces HF events and mortality compared with a defibrillator (ICD) alone. Whether these benefits extend to all age-groups during long-term follow-up is unclear. Hypothesis: We hypothesized that CRT-D would benefit all age groups with respect to reductions in HF events and all-cause mortality. Methods: We assessed the effect of age on HF events and death among patients in the MADIT-CRT long-term follow up study. 1281 patients with class I or II heart failure and left-bundle branch block (LBBB) were randomized to CRT-D or ICD alone. Patients were divided into 3 age groups: <60, 60-74 or ≥75 years and evaluated over 7 years for mortality and HF events. We compared cumulative events using the log-rank test and adjustments were made using a multivariate logistic regression model with various pre-specified covariates. Results: Overall 761 patients received CRT-D and 520 received ICD alone. The median age was 65 years. Among the three age groups, <60, 60-74 and ≥75 there were 399, 651 and 231 patients respectively. Multivariate analysis (Table) revealed that CRT-D compared to ICD alone significantly reduced the composite outcome of HF or death across all age groups: <60 years relative risk reduction (RRR)=39%, p=0.0236; 60-74 years RRR=59%, p<0.001; ≥75 years RRR=55%, p<0.001. CRT-D also significantly reduced HF events in all age groups <60 years RRR=52%, p=0.003; 60-74 years RRR=61%, p<0.001; ≥75 years RRR=73%, p<0.001. CRT-D was associated with significant mortality reduction only in the 60-74 year age group RRR 58%, p<0.001. Conclusion: Among patients with asymptomatic or mild heart failure, reduced LVEF and LBBB, CRT-D results in significant reduction of HF events and in the composite of all-cause mortality and HF events during long-term follow-up. All-cause mortality was significantly reduced with CRT-D only in the 60-74 year age group.

No relation between biomarkers at age 47–49 and aortic diameter after 14–19 years of follow-up – a population-based study

VASA ◽  
2017 ◽  
Vol 46 (4) ◽  
pp. 291-295 ◽  
Author(s):  
Soumia Taimour ◽  
Moncef Zarrouk ◽  
Jan Holst ◽  
Olle Melander ◽  
Gunar Engström ◽  
...  
Keyword(s):  
Population Based ◽  
Aortic Diameter ◽  
Aortic Dilatation ◽  
Population Based Study ◽  
Reactive Protein ◽  
Abdominal Aortic ◽  
Long Term Follow Up ◽  
Old Men

Abstract. Background: Biomarkers reflecting diverse pathophysiological pathways may play an important role in the pathogenesis of abdominal aortic aneurysm (aortic diameter ≥30 mm, AAA), levels of many biomarkers are elevated and correlated to aortic diameter among 65-year-old men undergoing ultrasound (US) screening for AAA. Probands and methods: To evaluate potential relationships between biomarkers and aortic dilatation after long-term follow-up, levels of C-reactive protein (CRP), proneurotensin (PNT), copeptin (CPT), lipoprotein-associated phospholipase 2 (Lp-PLA2), cystatin C (Cyst C), midregional proatrial natriuretic peptide (MR-proANP), and midregional proadrenomedullin (MR-proADM) were measured in 117 subjects (114 [97 %] men) aged 47–49 in a prospective population-based cohort study, and related to aortic diameter at US examination of the aorta after 14–19 years of follow-up. Results: Biomarker levels at baseline did not correlate with aortic diameter after 14–19 years of follow up (CRP [r = 0.153], PNT [r = 0.070], CPT [r = –.156], Lp-PLA2 [r = .024], Cyst C [r = –.015], MR-proANP [r = 0.014], MR-proADM [r = –.117]). Adjusting for age and smoking at baseline in a linear regression model did not reveal any significant correlations. Conclusions: Tested biomarker levels at age 47–49 were not associated with aortic diameter at ultrasound examination after 14–19 years of follow-up. If there are relationships between these biomarkers and aortic dilatation, they are not relevant until closer to AAA diagnosis.

Long-term trajectories of decline in cognition and daily functioning before and after stroke

2021 ◽  
pp. jnnp-2021-326043
Author(s):  
Alis Heshmatollah ◽  
Lisanne J. Dommershuijsen ◽  
Lana Fani ◽  
Peter J. Koudstaal ◽  
M. Arfan Ikram ◽  
...  
Keyword(s):  
Continuous Monitoring ◽  
Mini Mental State Examination ◽  
Functional Decline ◽  
Population Based ◽  
Daily Functioning ◽  
Linear Mixed Effects ◽  
Before And After ◽  
State Examination

ObjectiveAlthough knowledge on poststroke cognitive and functional decline is increasing, little is known about the possible decline of these functions before stroke. We determined the long-term trajectories of cognition and daily functioning before and after stroke.MethodsBetween 1990 and 2016, we repeatedly assessed cognition (Mini-Mental State Examination (MMSE), 15-Word Learning, Letter–Digit Substitution, Stroop, Verbal Fluency, Purdue Pegboard) and basic and instrumental activities of daily living (BADL and IADL) in 14 712 participants within the population-based Rotterdam Study. Incident stroke was assessed through continuous monitoring of medical records until 2018. We matched participants with incident stroke to stroke-free participants (1:3) based on sex and birth year. Trajectories of cognition and daily functioning of patients who had a stroke 10 years before and 10 years after stroke and the corresponding trajectories of stroke-free individuals were constructed using adjusted linear mixed effects models.ResultsDuring a mean follow-up of 12.5±6.8 years, a total of 1662 participants suffered a first-ever stroke. Patients who had a stroke deviated from stroke-free controls up to 10 years before stroke diagnosis in cognition and daily functioning. Significant deviations before stroke were seen in scores of MMSE (6.4 years), Stroop (5.7 years), Purdue Pegboard (3.8 years) and BADL and IADL (2.2 and 3.0 years, respectively).ConclusionPatients who had a stroke have steeper declines in cognition and daily functioning up to 10 years before their first-ever stroke compared with stroke-free individuals. Our findings suggest that accumulating intracerebral pathology already has a clinical impact before stroke.

scholarly journals Long-term exposure to iron and copper in fine particulate air pollution and their combined impact on reactive oxygen species concentration in lung fluid: a population-based cohort study of cardiovascular disease incidence and mortality in Toronto, Canada

2020 ◽  
Author(s):  
Zilong Zhang ◽  
Scott Weichenthal ◽  
Jeffrey C Kwong ◽  
Richard T Burnett ◽  
Marianne Hatzopoulou ◽  
...  
Keyword(s):  
Reactive Oxygen Species ◽  
Cardiovascular Disease ◽  
Regression Models ◽  
Population Based ◽  
Sensitivity Analyses ◽  
Oxygen Species ◽  
Lung Fluid ◽  
Fine Particulate ◽  
Combined Impact

Abstract Background Exposure to fine particulate (PM2.5) air pollution is associated with increased cardiovascular disease (CVD), but less is known about its specific components, such as metals originating from non-tailpipe emissions. We investigated the associations of long-term exposure to metal components [iron (Fe) and copper (Cu)] in PM2.5 with CVD incidence. Methods We conducted a population-based cohort study in Toronto, Canada. Exposures to Fe and Cu in PM2.5 and their combined impact on the concentration of reactive oxygen species (ROS) in lung fluid were estimated using land use regression models. Incidence of acute myocardial infarction (AMI), congestive heart failure (CHF) and CVD death was ascertained using health administrative datasets. We used mixed-effects Cox regression models to examine the associations between the exposures and health outcomes. A series of sensitivity analyses were conducted, including indirect adjustment for individual-level cardiovascular risk factors (e.g. smoking), and adjustment for PM2.5 and nitrogen dioxide (NO2). Results In single-pollutant models, we found positive associations between the three exposures and all three outcomes, with the strongest associations detected for the estimated ROS. The associations of AMI and CHF were sensitive to indirect adjustment, but remained robust for CVD death in all sensitivity analyses. In multi-pollutant models, the associations of the three exposures generally remained unaltered. Interestingly, adjustment for ROS did not substantially change the associations between PM2.5 and CVD, but attenuated the associations of NO2. Conclusions Long-term exposure to Fe and Cu in PM2.5 and their combined impact on ROS were consistently associated with increased CVD death.

scholarly journals Long-term mortality and active TB disease among patients who were lost to follow-up during second line tuberculosis treatment in 2011-2014: population-based study in the country of Georgia

2021 ◽  
Author(s):  
Giorgi Kuchukhidze ◽  
Davit Baliashvili ◽  
Natalia Adamashvili ◽  
Ana Kasradze ◽  
Russell R Kempker ◽  
...  
Keyword(s):  
Multivariable Analysis ◽  
Positive Culture ◽  
Population Based ◽  
Drug Resistant ◽  
Second Line ◽  
Adjusted Risk ◽  
Tb Treatment ◽  
Country Of Georgia

Abstract BACKGROUND High rates of loss to follow-up (LFU) exist among patients with multi-drug and extensively drug-resistant tuberculosis (M/XDR TB); We aimed to identify long-term clinical outcomes of patients who were LFU during second-line TB treatment. METHODS We conducted a follow-up study among adults who received second-line TB treatment in the country of Georgia during 2011-2014 with a final outcome of LFU. We attempted to interview all LFU patients, administered a structured questionnaire and obtained sputum samples. Active TB at follow-up was defined by positive sputum Xpert-TB/RIF or culture. RESULTS Follow-up information was obtained for 461 patients, among these patients, 107 (23%) died and 177 (38%) were contacted, of those contacted 123 (69%) consented to participate and 92 provided sputum samples. Thirteen (14%) had active TB with an estimated infectious time-period for transmitting drug-resistant TB in the community of 480 days (IQR=803). In multivariable analysis, positive culture at the time of LFU was associated with active TB at the time of our study (adjusted risk ratio=13.3, 95% CI: 4.2, 42.2) CONCLUSIONS Nearly one-quarter of patients on second-line TB treatment who were LFU died. Among those LFU evaluated in our study, one in seven remained in the community with positive sputum cultures. To reduce death and transmission of disease, additional strategies are needed to encourage patients to complete treatment.

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