Predictors of healthcare use in community women with eating disorder symptoms: a longitudinal study

2021 ◽  
pp. 103985622110092
Author(s):  
Nicol Holtzhausen ◽  
Phillipa Hay ◽  
Nasim Foroughi ◽  
Haider Mannan

Objectives This study aimed to investigate associations between eating disorder mental health literacy (EDMHL), defense style, eating disorder (ED) symptom severity, psychological distress and mental-health-related quality of life (MHRQoL) and the likelihood of formal and informal healthcare use (HCU) across multiple time points. Methods A community sample of 445 young women with ED symptoms were followed over 7 years. Questionnaires were distributed via email and postal mail across multiple time points; this study includes data from years 2 (baseline in this study), 4 and 9. The inclusion criteria was provision of HCU data at year 2. Results ED symptom severity at baseline was significantly associated with greater HCU two and seven years later. Accurate identification of an ED by participants (i.e. EDMHL) at baseline was associated with greater HCU seven years later. Defense style, psychological distress, MHRQoL and other aspects of EDMHL were not significantly associated with HCU over time. Conclusions Individuals with more severe ED symptoms, and with greater EDMHL, may be more likely to seek help over time. However, individuals with EDs may not seek help directly for poorer MHRQoL and higher levels of psychological distress. This reinforces the importance of ED screening, particularly in primary care settings.

BMJ Open ◽  
2020 ◽  
Vol 10 (8) ◽  
pp. e033986
Author(s):  
Nicol Holtzhausen ◽  
Haider Mannan ◽  
Nasim Foroughi ◽  
Phillipa Hay

ObjectivesThis study examined formal and informal healthcare use (HCU) in community women with disordered eating, and associations of HCU with mental health-related quality of life (MHRQoL), psychological distress, mental health literacy (MHL) and eating disorder (ED) symptoms over time.HypothesisWe hypothesised that HCU would lead to improvement in ED symptom severity, MHRQoL, MHL and psychological distress.Design, setting, participantsData were from years 2, 4 and 9 of a longitudinal cohort of 443 community women (mean age 30.6, SE 0.4 years) with a range of ED symptoms, randomly recruited from the Australian Capital Territory electoral role or via convenience sampling from tertiary education centres. Data were collected using posted/emailed self-report questionnaires; inclusion criteria were completion of the HCU questionnaire at time point of 2 years (baseline for this study). HCU was measured using a multiple-choice question on help seeking for an eating problem. To test the effect of HCU over time on MHRQoL (Short Form-12 score), psychological distress (Kessler Psychological Distress Scale score), ED symptom severity (Eating Disorder Examination Questionnaire score) and ED–MHL, linear or logistic mixed-effects regression analyses were used.Results20% of participants sought ED-specific help at baseline; more than half of participants sought help that was not evidence based. HCU at baseline was significantly associated with improved MHRQoL and ED symptom severity and decreased psychological distress over time (Cohen’s d all >0.3, ie, small). HCU was not significantly associated with MHL over time. The predictive ability of the fitted models ranged from 32.18% to 42.42% for psychological distress and MHL treatment, respectively.ConclusionsFormal and informal HCU were associated with small improvements in ED symptoms, MHRQoL and psychological distress but not with improved MHL. Informal services in ED management should be investigated further along with efforts to improve ED–MHL.


2021 ◽  
Author(s):  
Michaela A McCown ◽  
Carolyn Allen ◽  
Daniel D Machado ◽  
Hannah Boekweg ◽  
Yiran Liang ◽  
...  

Chronic Lymphocytic Leukemia (CLL) is a slow progressing disease, characterized by a long asymptomatic stage followed by a symptomatic stage during which patients receive treatment. While proteomic studies have discovered differential pathways in CLL, the proteomic evolution of CLL during the asymptomatic stage has not been studied. In this pilot study, we show that by using small sample sizes comprising ~145 cells, we can detect important features of CLL necessary for studying tumor evolution. Our small samples are collected at two time points and reveal large proteomic changes in healthy individuals over time. A meta-analysis of two CLL proteomic papers showed little commonality in differentially expressed proteins and demonstrates the need for larger control populations sampled over time. To account for proteomic variability between time points and individuals, large control populations sampled at multiple time points are necessary for understanding CLL progression. Data is available via ProteomeXchange with identifier PXD027429.


2015 ◽  
Vol 30 (2) ◽  
pp. 341-346 ◽  
Author(s):  
A. Reijnen ◽  
A.R. Rademaker ◽  
E. Vermetten ◽  
E. Geuze

AbstractObjective:Recent studies in troops deployed to Iraq and Afghanistan have shown that combat exposure and exposure to deployment-related stressors increase the risk for the development of mental health symptoms. The aim of this study is to assess the prevalence of mental health symptoms in a cohort of Dutch military personnel prior to and at multiple time-points after deployment.Methods:Military personnel (n= 994) completed various questionnaires at 5 time-points; starting prior to deployment and following the same cohort at 1 and 6 months and 1 and 2 years after their return from Afghanistan.Results:The prevalence of symptoms of fatigue, PTSD, hostility, depression and anxiety was found to significantly increase after deployment compared with pre-deployment rates. As opposed to depressive symptoms and fatigue, the prevalence of PTSD was found to decrease after the 6-month assessment. The prevalence of sleeping problems and hostility remained relatively stable.Conclusions:The prevalence of mental health symptoms in military personnel increases after deployment, however, symptoms progression over time appears to be specific for various mental health symptoms. Comprehensive screening and monitoring for a wide range of mental health symptoms at multiple time-points after deployment is essential for early detection and to provide opportunities for intervention.Declaration of interest:This project was funded by the Dutch Ministry of Defence.


2021 ◽  
Vol 79 (1) ◽  
Author(s):  
Eliane S. Engels ◽  
Michael Mutz ◽  
Yolanda Demetriou ◽  
Anne K. Reimers

Abstract Background Latest studies indicated that the general mental health level is low during the pandemic. Probably, this deterioration of the mental health situation is partly due to declines in physical activity. The aim of this study was to investigate differences in and the association between affective wellbeing and levels of different domains of physical activity at three time points before and during the pandemic. Method We used a nationwide online panel with a trend data design encompassing a total sample of N = 3517, representing the German population (> 14 years). Four different activity domains (sport and exercise, light outdoor activity, housework/gardening, active travel) and affective wellbeing (positive and negative affect) were assessed at three time points before and during the Covid-19 pandemic (October 2019, March 2020, October 2020). Results Multivariate analyses of variance (MANOVA) indicate differences regarding affective wellbeing over the three time points with the lowest values at the second time point. Levels of activity in the four domains differed significantly over time with the strongest decrease for sport and exercise from the first to the second time point. Partial correlations indicated that the relationships between sport and exercise and positive affect were most consistent over time. Conclusions Overall, our findings suggest that physical activity plays a particularly important role in the pandemic period as a protective factor against poor mental health. Especially sports and exercise seem to be supportive and should be encouraged, e.g. by providing additional support in finding adequate outdoor, home-based or digital substitutes.


2021 ◽  
Vol 13 (15) ◽  
pp. 3042
Author(s):  
Kateřina Gdulová ◽  
Jana Marešová ◽  
Vojtěch Barták ◽  
Marta Szostak ◽  
Jaroslav Červenka ◽  
...  

The availability of global digital elevation models (DEMs) from multiple time points allows their combination for analysing vegetation changes. The combination of models (e.g., SRTM and TanDEM-X) can contain errors, which can, due to their synergistic effects, yield incorrect results. We used a high-resolution LiDAR-derived digital surface model (DSM) to evaluate the accuracy of canopy height estimates of the aforementioned global DEMs. In addition, we subtracted SRTM and TanDEM-X data at 90 and 30 m resolutions, respectively, to detect deforestation caused by bark beetle disturbance and evaluated the associations of their difference with terrain characteristics. The study areas covered three Central European mountain ranges and their surrounding areas: Bohemian Forest, Erzgebirge, and Giant Mountains. We found that vertical bias of SRTM and TanDEM-X, relative to the canopy height, is similar with negative values of up to −2.5 m and LE90s below 7.8 m in non-forest areas. In forests, the vertical bias of SRTM and TanDEM-X ranged from −0.5 to 4.1 m and LE90s from 7.2 to 11.0 m, respectively. The height differences between SRTM and TanDEM-X show moderate dependence on the slope and its orientation. LE90s for TDX-SRTM differences tended to be smaller for east-facing than for west-facing slopes, and varied, with aspect, by up to 1.5 m in non-forest areas and 3 m in forests, respectively. Finally, subtracting SRTM and NASA DEMs from TanDEM-X and Copernicus DEMs, respectively, successfully identified large areas of deforestation caused by hurricane Kyril in 2007 and a subsequent bark beetle disturbance in the Bohemian Forest. However, local errors in TanDEM-X, associated mainly with forest-covered west-facing slopes, resulted in erroneous identification of deforestation. Therefore, caution is needed when combining SRTM and TanDEM-X data in multitemporal studies in a mountain environment. Still, we can conclude that SRTM and TanDEM-X data represent suitable near global sources for the identification of deforestation in the period between the time points of their acquisition.


2021 ◽  
Vol 42 (Supplement_1) ◽  
pp. S2-S3
Author(s):  
Callie Abouzeid ◽  
Audrey E Wolfe ◽  
Gretchen J Carrougher ◽  
Nicole S Gibran ◽  
Radha K Holavanahalli ◽  
...  

Abstract Introduction Burn survivors often face many long-term physical and psychological symptoms associated with their injury. To date, however, few studies have examined the impact of burn injuries on quality of life beyond 2 years post-injury. The purpose of this study is to examine the physical and mental well-being of burn survivors up to 20 years after injury. Methods Data from the Burn Model System National Database (1997–2020) were analyzed. Patient-reported outcome measures were collected at discharge with a recall of preinjury status, and then at 5, 10, 15, and 20 years after injury. Outcomes examined were the Physical Component Summary (PCS) and Mental Component Summary (MCS) of the Short Form-12. Trajectories were developed using linear mixed methods model with repeated measures of PCS and MCS scores over time and controlling for demographic and clinical variables. The model fitted score trajectory was generated with 95% confidence intervals to demonstrate score changes over time and associations with covariates. Results The study population included 420 adult burn survivors with a mean age of 42.4 years. The population was mainly male (66%) and white (76.4%) with a mean burn size of 21.5% and length of hospital stay of 31.3 days. Higher PCS scores were associated with follow-up time points closer to injury, shorter hospital stay, and younger age. Similarly, higher MCS scores were associated with earlier follow-up time points, shorter hospital stay, female gender, and non-perineal burns. MCS trajectories are demonstrated in the Figure. Conclusions Burn survivors’ physical and mental health worsened over time. Such a trend is different from previous reported results for mental health in the general population. Demographic and clinical predictors of recovery over time are identified.


2012 ◽  
Vol 9 (5) ◽  
pp. 610-620 ◽  
Author(s):  
Thomas A Trikalinos ◽  
Ingram Olkin

Background Many comparative studies report results at multiple time points. Such data are correlated because they pertain to the same patients, but are typically meta-analyzed as separate quantitative syntheses at each time point, ignoring the correlations between time points. Purpose To develop a meta-analytic approach that estimates treatment effects at successive time points and takes account of the stochastic dependencies of those effects. Methods We present both fixed and random effects methods for multivariate meta-analysis of effect sizes reported at multiple time points. We provide formulas for calculating the covariance (and correlations) of the effect sizes at successive time points for four common metrics (log odds ratio, log risk ratio, risk difference, and arcsine difference) based on data reported in the primary studies. We work through an example of a meta-analysis of 17 randomized trials of radiotherapy and chemotherapy versus radiotherapy alone for the postoperative treatment of patients with malignant gliomas, where in each trial survival is assessed at 6, 12, 18, and 24 months post randomization. We also provide software code for the main analyses described in the article. Results We discuss the estimation of fixed and random effects models and explore five options for the structure of the covariance matrix of the random effects. In the example, we compare separate (univariate) meta-analyses at each of the four time points with joint analyses across all four time points using the proposed methods. Although results of univariate and multivariate analyses are generally similar in the example, there are small differences in the magnitude of the effect sizes and the corresponding standard errors. We also discuss conditional multivariate analyses where one compares treatment effects at later time points given observed data at earlier time points. Limitations Simulation and empirical studies are needed to clarify the gains of multivariate analyses compared with separate meta-analyses under a variety of conditions. Conclusions Data reported at multiple time points are multivariate in nature and are efficiently analyzed using multivariate methods. The latter are an attractive alternative or complement to performing separate meta-analyses.


2002 ◽  
Vol 30 (4) ◽  
pp. 415-425 ◽  
Author(s):  
Meredith E. Coles ◽  
Cynthia L. Turk ◽  
Richard G. Heimberg

Cognitive-behavioral models (Clark & Wells, 1995; Rapee & Heimberg, 1997) and recent research suggest that individuals with social phobia (SP) experience both images (Hackmann, Surawy, & Clark, 1998) and memories (Coles, Turk, Heimberg, & Fresco, 2001; Wells, Clark, & Ahmad, 1998) of anxiety-producing social situations from an observer perspective. The current study examines memory perspective for two role-played situations (speech and social interaction) at multiple time points (immediate and 3 weeks post) in 22 individuals with generalized SP and 30 non-anxious controls (NACs). At both time points, SPs recalled the role-plays from a more observer/less field perspective than did NACs. Further, over time, the memory perspective of SPs became even more observer/less field while the memory perspective of NAC remained relatively stable.


Author(s):  
Dan Breznitz

This chapter acknowledges that, for many regions, the idea of attracting cutting-edge tech start-ups is almost irresistible. Seemingly every community aspires to become the next Silicon Valley. But is that feasible? This chapter make these lessons concrete by elaborating on the rapid rise and, even faster and deeper, decline of America’s first Silicon Valley—Cleveland, Ohio. It then shows the near impossibility of trying to become the next Silicon Valley by analyzing the mysterious failure of Atlanta, Georgia—a city that diligently followed all the advice ever given to an aspiring new start-up hub, but somehow was always left only with the “potential.” We will see how at multiple time-points Atlanta’s companies were the leading innovators with the best products in the newest information and communication technologies (ICT), only to falter and be taken over by Silicon Valley companies without leaving any apparent impact on the region. It then brings in social-network research and the concept of embeddedness to explain why trying to recreate a Silicon Valley is a doomed (and expensive) enterprise.


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