scholarly journals Developing Effective Methods for Electronic Health Personalization: Protocol for Health Telescope, a Prospective Interventional Study (Preprint)

2019 ◽  
Author(s):  
Bastiaan Johannes Paulus Cornelis Willemse ◽  
Maurits Clemens Kaptein ◽  
Fleur Hasaart
Keyword(s):  
Physical Activity ◽  
Data Collection ◽  
Mobile Apps ◽  
Panel Study ◽  
Long Term Effects ◽  
General Data Protection Regulation ◽  
Longitudinal Data Collection ◽  
Electronic Health ◽  
Using Data

BACKGROUND Existing evaluations of the effects of mobile apps to encourage physical activity have been criticized owing to their common lack of external validity, their short duration, and their inability to explain the drivers of the observed effects. This protocol describes the setup of Health Telescope, a longitudinal panel study in which the long-term effects of mobile electronic health (eHealth) apps are investigated. By setting up Health Telescope, we aim to (1) understand more about the long-term use of eHealth apps in an externally valid setting, (2) understand the relationships between short-term and long-term outcomes of the usage of eHealth apps, and (3) test different ways in which eHealth app allocation can be personalized. OBJECTIVE The objectives of this paper are to (1) demonstrate and motivate the validity of the many choices that we made in setting up an intensive longitudinal study, (2) provide a resource for researchers interested in using data generated by our study, and (3) act as a guideline for researchers interested in setting up their own longitudinal data collection using wearable devices. For the third objective, we explicitly discuss the General Data Protection Regulation and ethical requirements that need to be addressed. METHODS In this 4-month study, a group of approximately 450 participants will have their daily step count measured and will be asked daily about their mood using experience sampling. Once per month, participants will receive an intervention containing a recommendation to download an app that focuses on increasing physical activity. The mechanism for assigning recommendations to participants will be personalized over time, using contextual data obtained from previous interventions. RESULTS The data collection software has been developed, and all the legal and ethical checks are in place. Recruitment will start in Q4 of 2020. The initial results will be published in 2021. CONCLUSIONS The aim of Health Telescope is to investigate how different individuals respond to different ways of being encouraged to increase their physical activity. In this paper, we detail the setup, methods, and analysis plan that will enable us to reach this aim. INTERNATIONAL REGISTERED REPORT PRR1-10.2196/16471

scholarly journals Developing Effective Methods for Electronic Health Personalization: Protocol for Health Telescope, a Prospective Interventional Study

10.2196/16471 ◽  
2020 ◽  
Vol 9 (7) ◽  
pp. e16471
Author(s):  
Bastiaan Johannes Paulus Cornelis Willemse ◽  
Maurits Clemens Kaptein ◽  
Fleur Hasaart
Keyword(s):  
Physical Activity ◽  
Data Collection ◽  
Mobile Apps ◽  
Panel Study ◽  
Long Term Effects ◽  
General Data Protection Regulation ◽  
Longitudinal Data Collection ◽  
Electronic Health ◽  
Using Data

Background Existing evaluations of the effects of mobile apps to encourage physical activity have been criticized owing to their common lack of external validity, their short duration, and their inability to explain the drivers of the observed effects. This protocol describes the setup of Health Telescope, a longitudinal panel study in which the long-term effects of mobile electronic health (eHealth) apps are investigated. By setting up Health Telescope, we aim to (1) understand more about the long-term use of eHealth apps in an externally valid setting, (2) understand the relationships between short-term and long-term outcomes of the usage of eHealth apps, and (3) test different ways in which eHealth app allocation can be personalized. Objective The objectives of this paper are to (1) demonstrate and motivate the validity of the many choices that we made in setting up an intensive longitudinal study, (2) provide a resource for researchers interested in using data generated by our study, and (3) act as a guideline for researchers interested in setting up their own longitudinal data collection using wearable devices. For the third objective, we explicitly discuss the General Data Protection Regulation and ethical requirements that need to be addressed. Methods In this 4-month study, a group of approximately 450 participants will have their daily step count measured and will be asked daily about their mood using experience sampling. Once per month, participants will receive an intervention containing a recommendation to download an app that focuses on increasing physical activity. The mechanism for assigning recommendations to participants will be personalized over time, using contextual data obtained from previous interventions. Results The data collection software has been developed, and all the legal and ethical checks are in place. Recruitment will start in Q4 of 2020. The initial results will be published in 2021. Conclusions The aim of Health Telescope is to investigate how different individuals respond to different ways of being encouraged to increase their physical activity. In this paper, we detail the setup, methods, and analysis plan that will enable us to reach this aim. International Registered Report Identifier (IRRID) PRR1-10.2196/16471

scholarly journals Long Term Effects of Job Displacement. Paper presented at the 2010 American Sociological Association Annual Meeting.

2017 ◽  
Author(s):  
Matthew J Moehr
Keyword(s):  
Labor Market ◽  
Fixed Effects ◽  
Structural Changes ◽  
Panel Study ◽  
Job Displacement ◽  
Long Term Effects ◽  
Fixed Effects Models ◽  
Worker Characteristics ◽  
Using Data

This paper replicates and extends Stevens’s (1997) analysis of the long-term effects of job displacements. Using data from the 1968-2005 waves of the Panel Study of Income Dynamics, I estimate fixed-effects models which show that there are long term decreases in earnings after displacements. The decreases are mediated when longer follow up data is used for individuals. Changes in the labor market have also shifted the relationship between displacements and individual worker characteristics. Specifically, education and experience have become more important then displacements. Conclusions are based on an analysis of the different people in the 40 years of PSID data and the structural changes in the labor market over that time. This article suggests that longitudinal data and fixed-effects models are one of many ways to conceptualize labor market changes.

scholarly journals Long-Term Development of Urban Agriculture: Resilience and Sustainability of Farmers Facing the Covid-19 Pandemic in Japan

2021 ◽  
Vol 13 (8) ◽  
pp. 4316
Author(s):  
Shingo Yoshida ◽  
Hironori Yagi
Keyword(s):  
Urban Agriculture ◽  
Food Systems ◽  
Direct Marketing ◽  
Farming System ◽  
Long Term Effects ◽  
Short Term ◽  
Short Supply ◽  
Using Data ◽  
Urban People

The coronavirus disease 2019 (Covid-19) pandemic has forced global food systems to face unprecedented uncertain shocks even in terms of human health. Urban agriculture is expected to be more resilient because of its short supply chain for urban people and diversified farming activities. However, the short-and long-term effects of the Covid-19 pandemic on urban farms remain unclear. This study aims to reveal the conditions for farm resilience to the Covid-19 pandemic in 2020 and the relationship between short-term farm resilience and long-term farm development using data from a survey of 74 farms located in Tokyo. The results are as follows. First, more than half of the sample farms increased their farm sales during this period. This resilience can be called the “persistence” approach. Second, short-term farm resilience and other sustainable farm activities contributed to improving farmers’ intentions for long-term farm development and farmland preservation. Third, the most important resilience attributes were the direct marketing, entrepreneurship, and social networks of farmers. We discussed the necessity of building farmers’ transformative capabilities for a more resilient urban farming system. These results imply that support to enhance the short-term resilience of urban farms is worth more than the short-term profit of the farms.

scholarly journals Short-Term and Long-Term Effects of Off-Job Activities on Recovery and Sleep: A Two-Wave Panel Study among Health Care Employees

2018 ◽  
Vol 15 (9) ◽  
pp. 2044 ◽  
Author(s):  
Jan de Jonge ◽  
Akihito Shimazu ◽  
Maureen Dollard
Keyword(s):  
Health Care ◽  
Sleep Quality ◽  
Panel Study ◽  
Long Term Effects ◽  
Short Term ◽  
Negatively Associated ◽  
Health Care Employees ◽  
Long Run ◽  
Job Activities

This study examined whether particular recovery activities after work have a positive or negative effect on employee recovery from work (i.e., cognitive, emotional, and physical detachment) and sleep quality. We used a two-wave panel study of 230 health care employees which enabled looking at both short-term and long-term effects (i.e., two-year time interval). Gender, age, marital status, children at home, education level, management position, and working hours were used as control variables. Hierarchical multiple regression analyses showed that work-related off-job activities were negatively associated with cognitive and emotional detachment in both the short and long run, whereas low-effort off-job activities were positively related to cognitive detachment in the short run. Moreover, household/care off-job activities were positively related to sleep quality in the long run, whereas physical off-job activities were negatively associated with sleep quality in the long run. The long-term findings existed beyond the strong effects of baseline detachment and sleep quality. This study highlights the importance of off-job recovery activities for health care employees’ detachment from work and sleep quality. Practical implications and avenues for further research are discussed.

Long-term effects of group exercise intervention on maximal step-up height in middle-aged female primary care patients with obesity and other cardio-metabolic risk factors

2020 ◽  
Author(s):  
Lillemor Amanda Nyberg ◽  
Carl Johan Sundberg ◽  
Per Wändell ◽  
Jan Kowalski ◽  
Mai-Lis Hellenius
Keyword(s):  
Physical Activity ◽  
Waist Circumference ◽  
Exercise Intervention ◽  
Metabolic Risk ◽  
Group Exercise ◽  
Long Term Effects ◽  
Sf 36 ◽  
Primary Care Patients

Abstract Background: Low physical performance is a predictor of morbidity and mortality. This study looks at long-term effects of an exercise intervention on maximal step-up height (MSH) in individuals with low physical function. Furthermore, we studied correlates to changes in MSH. Methods: Female patients (n=101), mean(SD) age of 52(11) years, were recruited for a 3-month group exercise intervention including 2-3 sessions/week of mixed aerobic fitness and strength training. MSH, weight, body mass index (BMI), waist circumference, maximal oxygen consumption (VO₂-max), self-reported health (SF-36) and physical activity (PA) were measured at baseline (T0), after 3 months (T1) and after 14-30(mean 22) months (T2). Relationships between changes in MSH (cm) and age, baseline MSH, time to follow-up, changes in anthropometric measurements, VO₂-max, SF-36 and PA were studied with regression analyses. Results: MSH, significantly, increased from T0 to T1, 27.2(5.7) to 29.0(5.5) cm and decreased to 25.2(5.5) cm at T2. Time to follow-up (B=-0.42, p<0.001) and change in BMI (B=-0.29, p=0.012) correlated significantly to changes in MSH. Waist circumference, VO₂-max, PF and exercise/physical activity levels were significantly improved at T2, while BMI did not change. In a univariate logistic regression model, maintenance of MSH correlated to the extent of mixed training (OR 3.33, 95% CI 1.25-8.89). In a multivariate logistic regression model adjusted for important factors the correlation was not significant. However, MSH was significantly higher in individuals participating in 2-3 session per week compared to one session. Conclusions: A 3-month group exercise intervention increased MSH, improved fitness, decreased risk in female patients with elevated cardio-metabolic risk. After an average of 22 months MSH was reduced while positive effects remained for waist circumference, VO₂-max, physical function and physical activity. However, regular group exercise 2-3 times per week with mixed aerobic fitness and strength training was associated with maintenance of MSH in a subgroup of patients. We suggest that such an intervention including regular support from healthcare professionals is a successful approach for maintaining improved leg-muscle strength among primary care patients.

scholarly journals Long-Term Effects in the EXERDIET-HTA Study: Supervised Exercise Training vs. Physical Activity Advice

2019 ◽  
Vol 91 (2) ◽  
pp. 209-218 ◽  
Author(s):  
Pablo Corres ◽  
Aitor MartinezAguirre-Betolaza ◽  
Simon M. Fryer ◽  
Ilargi Gorostegi-Anduaga ◽  
Iñaki Arratibel-Imaz ◽  
...  
Keyword(s):  
Physical Activity ◽  
Exercise Training ◽  
Long Term Effects ◽  
Supervised Exercise ◽  
Physical Activity Advice

scholarly journals Long-Term Economic Simulation: Even-Aged and Uneven-Aged Examples from the Missouri Ozark Forest Ecosystem Project (MOFEP)

2005 ◽  
Vol 22 (1) ◽  
pp. 42-47 ◽  
Author(s):  
Thomas Treiman ◽  
John Dwyer ◽  
David Larsen
Keyword(s):  
Forest Ecosystem ◽  
Landscape Management ◽  
Forest Products ◽  
Forest Growth ◽  
Economic Outcomes ◽  
Long Term Effects ◽  
Short Term ◽  
Decision Matrix ◽  
Using Data

Abstract Much of the software and many of the algorithms commonly used to simulate forest growth and harvesting activities have been optimized for short-term projections based primarily on larger-sized trees and are focused on even-aged silvicultural systems. Using data on trees 1.5 in. dbh and larger from the Missouri Ozark Forest Ecosystem Project (MOFEP), we have adapted the widely available Landscape Management System (LMS) and Forest Vegetation Simulator (FVS) software to make long-term simulations using even and uneven-aged silvicultural management systems. MOFEP is designed to test the long-term effects of even-aged, uneven-aged, and no harvest treatments on a variety of ecosystem attributes. To simulate the economic outcomes of these three treatments, we have written new LMS algorithms that simulate the effects of uneven-aged harvesting. Our results show that in the Missouri Ozarks even-aged and uneven-aged management silvicultural systems yield long-term (100 years) economic outcomes that are not statistically different. This result reinforces the need for land managers or landowners to consider esthetics, nontraditional forest products, and other nonmarket values in their decision matrix. North. J. Appl. For. 22(1):42– 47.

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