Cumulative sojourn time in longitudinal studies: a sequential imputation method to handle missing health state data due to dropout

2014 ◽  
Vol 33 (12) ◽  
pp. 2030-2047
Author(s):  
Xiaodong Li ◽  
Jingchen Liu ◽  
Naihua Duan ◽  
Huiping Jiang ◽  
Ragy Girgis ◽  
...  
Keyword(s):  
Longitudinal Studies ◽  
Sojourn Time ◽  
Imputation Method ◽  
Health State ◽  
State Data ◽  
Sequential Imputation

The Measurement of Utility in Multiphase Health States

1996 ◽  
Vol 12 (1) ◽  
pp. 151-162 ◽  
Author(s):  
Jeffrey Richardson ◽  
Jane Hall ◽  
Glen Salkeld
Keyword(s):  
Pilot Study ◽  
Health State ◽  
Health States ◽  
State Data

AbstractTo examine the validity of the additive quality-adjusted lite year model used to evaluate a multiphase health state, data from a pilot study of mammography were used to determine whether the values assigned to a multiphase postmastectomy health state could be estimated from a combination of the independently rated constituent health state values. The results suggest that they cannot.

Network reconstruction based on steady-state data

2008 ◽  
Vol 45 ◽  
pp. 161-176 ◽  
Author(s):  
Eduardo D. Sontag
Keyword(s):  
Steady State ◽  
Reverse Engineering ◽  
Theoretical Method ◽  
Network Reconstruction ◽  
Quasi Steady State ◽  
State Data

This paper discusses a theoretical method for the “reverse engineering” of networks based solely on steady-state (and quasi-steady-state) data.

FIT – Do Something Different

2011 ◽  
Vol 70 (1) ◽  
pp. 25-34 ◽  
Author(s):  
Ben (C) Fletcher ◽  
Jill Hanson ◽  
Nadine Page ◽  
Karen Pine
Keyword(s):  
Weight Loss ◽  
Longitudinal Studies ◽  
Behavioral Intervention ◽  
Behavioral Flexibility ◽  
Calorie Intake ◽  
Life Skill ◽  
Behavioral Repertoire ◽  
Additional Weight

Two 3-month longitudinal studies examined weight loss following a 1-month behavioral intervention (FIT-DSD) focusing on increasing participants’ behavioral flexibility and breaking daily habits. The goal was to break the distal habits hypothesized as playing a role in unhealthy dietary and activity behaviors. The FIT-DSD intervention required participants to do something different each day and to engage in novel weekly activities to expand their behavioral repertoire. These activities were not food- or exercise-related. In Study 1, the FIT-DSD program was compared with a control condition where participants engaged in daily tasks not expected to influence behavioral flexibility. Study 2 used an active or quasicontrol group in which half the participants were also on food diets. Measures in both studies were taken pre-, post-, and post-postintervention. In Study 1, FIT-DSD participants showed greater weight loss that continued post-postintervention. In Study 2, all participants on the FIT-DSD program lost weight, weight loss continued post-postintervention, and participants who were also dieting lost no additional weight. A dose relationship was observed between increases in behavioral flexibility scores and weight loss, and this relationship was mediated by calorie intake. Corresponding reductions in BMI were also present. Increasing behavioral flexibility may be an effective approach for tackling obesity and also provides affective and potential life-skill benefits.

The Need to Belong and the Relationship Between Loneliness and Health

2014 ◽  
Vol 22 (4) ◽  
pp. 194-201 ◽  
Author(s):  
Freda-Marie Hartung ◽  
Britta Renner
Keyword(s):  
Individual Differences ◽  
Social Isolation ◽  
Social Situation ◽  
First Year ◽  
Health State ◽  
Need To Belong ◽  
First Year University ◽  
Perceived Social Isolation ◽  
The Impact ◽  
The Relationship

Humans are social animals; consequently, a lack of social ties affects individuals’ health negatively. However, the desire to belong differs between individuals, raising the question of whether individual differences in the need to belong moderate the impact of perceived social isolation on health. In the present study, 77 first-year university students rated their loneliness and health every 6 weeks for 18 weeks. Individual differences in the need to belong were found to moderate the relationship between loneliness and current health state. Specifically, lonely students with a high need to belong reported more days of illness than those with a low need to belong. In contrast, the strength of the need to belong had no effect on students who did not feel lonely. Thus, people who have a strong need to belong appear to suffer from loneliness and become ill more often, whereas people with a weak need to belong appear to stand loneliness better and are comparatively healthy. The study implies that social isolation does not impact all individuals identically; instead, the fit between the social situation and an individual’s need appears to be crucial for an individual’s functioning.

Normative changes in interests from adolescence to adulthood: A meta-analysis of longitudinal studies.

2018 ◽  
Vol 144 (4) ◽  
pp. 426-451 ◽  
Author(s):  
Kevin A. Hoff ◽  
Daniel A. Briley ◽  
Colin J. M. Wee ◽  
James Rounds
Keyword(s):  
Longitudinal Studies ◽  
Meta Analysis

Development of self-esteem from age 4 to 94 years: A meta-analysis of longitudinal studies.

2018 ◽  
Vol 144 (10) ◽  
pp. 1045-1080 ◽  
Author(s):  
Ulrich Orth ◽  
Ruth Yasemin Erol ◽  
Eva C. Luciano
Keyword(s):  
Longitudinal Studies ◽  
Meta Analysis ◽  
Self Esteem
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