scholarly journals Cumulative Associations Between Midlife Health Behaviors and Physical Functioning in Early Old Age: A 17-Year Prospective Cohort Study

2014 ◽  
Vol 62 (10) ◽  
pp. 1860-1868 ◽  
Author(s):  
Séverine Sabia ◽  
Alexis Elbaz ◽  
Nicolas Rouveau ◽  
Eric J. Brunner ◽  
Mika Kivimaki ◽  
...  
BMJ ◽  
2007 ◽  
Vol 334 (7601) ◽  
pp. 990 ◽  
Author(s):  
Tarani Chandola ◽  
Jane Ferrie ◽  
Amanda Sacker ◽  
Michael Marmot

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Martin Lange ◽  
Alexandra Löwe ◽  
Gerrit Stassen ◽  
Andrea Schaller

Abstract Background The emerging adulthood is traditionally viewed as a time of optimal health, but also as a critical life span, characterized by changing life circumstances and the establishment of an individual lifestyle. Especially university life seems to hold several challenges impeding the manifestation of a health supporting manner, as many students tend to show a poorer health behavior and a higher amount of health-related problems than comparable age groups. This, along with a steady growth of the higher education sector, brings increased attention to the university setting in the context of prevention. To date, there are few empirical longitudinal and coherent cross-sectional data on the status of students’ health literacy, health status, and health behaviors, and on the impact of the study format on students’ health. The aim of this prospective cohort study is to reduce this research gap. Methods Starting during winter semester 2020/21, the prospective cohort study collects data on health literacy, health status and health behavior on a semester-by-semester basis. All enrolled students of the IST University of Applied Sciences, regardless of study format and discipline, can participate in the study at the beginning of their first semester. The data are collected digitally via a specifically programmed app. A total of 103 items assess the subjectively perceived health status, life and study satisfaction, sleep quality, perceived stress, physical activity, diet, smoking, alcohol consumption, drug addiction and health literacy. Statistical analysis uses (1) multivariate methods to look at changes within the three health dimensions over time and (2) the association between the three health dimensions using multiple regression methods and correlations. Discussion This cohort study collects comprehensive health data from students on the course of study. It is assumed that gathered data will provide information on how the state of health develops over the study period. Also, different degrees of correlations of health behavior and health literacy will reveal different impacts on the state of students’ health. Furthermore, this study will contribute to empirically justified development of target group-specific interventions. Trial registration German Clinical Trials Register: DRKS00023397 (registered on October 26, 2020).


2013 ◽  
Vol 150 (1) ◽  
pp. 63-69 ◽  
Author(s):  
Sebastian Köhler ◽  
Frans Verhey ◽  
Siegfried Weyerer ◽  
Birgitt Wiese ◽  
Kathrin Heser ◽  
...  

BMC Medicine ◽  
2013 ◽  
Vol 11 (1) ◽  
Author(s):  
David Martínez-Gómez ◽  
Pilar Guallar-Castillón ◽  
Luz M León-Muñoz ◽  
Esther López-García ◽  
Fernando Rodríguez-Artalejo

2003 ◽  
Vol 27 (8) ◽  
pp. 950-954 ◽  
Author(s):  
T E Strandberg ◽  
A Strandberg ◽  
V V Salomaa ◽  
K Pitkälä ◽  
T A Miettinen

2021 ◽  
Author(s):  
Barbara Prediger ◽  
Thorsten Tjardes ◽  
Christian Probst ◽  
Anahieta Parvaresch ◽  
Angelina Glatt ◽  
...  

Abstract BackgroundWe assessed predictive factors of patients with fractures of the lower extremities caused by trauma. We examined which factors might increase failure rates. Furthermore, the predictive factors were set into context with other long-term outcomes, concrete pain and physical functioning.MethodsWe performed a prospective cohort study at a single level I trauma center. We enrolled patients with traumatic fractures of the lower extremities treated with internal fixation from April 2017 to July 2018. We evaluated the following predictive factors: age, gender, diabetes, smoking status, obesity, open fractures and peripheral arterial diseases. The primary outcome was time to failure (nonunion, implant failure or reposition), secondary outcomes were pain and physical functioning measured at follow up 6 months after initial surgery. For the analysis of the primary outcome we used a multivariate stratified (according fracture location) Cox proportional hazard regression model.Results We included 204 patients. Overall, we observed a failure in 33 patients (16.2%). Most of the failures occurred within the first 3 months. Obesity and open fractures increased the risk of failure and decreased physical functioning. None of the predictors had an impact on pain. Age, female gender and smoking of more than ≥ 10 package years increased failure risk numerically but statistical uncertainty was high.Conclusion We found that obesity and open fractures strongly increased the risk of failure. These seem promising candidates to be included in a risk prediction model and can be considered as a good start for clinical decision making across different types of fractures in the lower limb. However, large heterogeneity in the other analyzed factors suggest that for a precise personalized risk estimation, computer-based models incorporating a variety of detailed information (e.g. pattern of injury, x-ray and clinical data) and their interrelation might be needed to increase precision of prediction significantly.Trial registrationNCT03091114


Sign in / Sign up

Export Citation Format

Share Document