scholarly journals The impact of tuition fees amount on mental health over time in British students

2015 ◽  
Vol 37 (3) ◽  
pp. 412-418 ◽  
Author(s):  
T. Richardson ◽  
P. Elliott ◽  
R. Roberts
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.


Author(s):  
Camila Salazar-Fernández ◽  
Daniela Palet ◽  
Paola A. Haeger ◽  
Francisca Román Mella

The present study examines the trajectories of unhealthy food and alcohol consumption over time and considers whether perceived impact of COVID-19 and psychological variables are predictors of these trajectories. We ascertained whether these predictors are different in women vs. men and between women living with vs. without children. Data were collected through online surveys administered to 1038 participants from two universities (staff and students) in Chile, across five waves (July to October 2020). Participants provided information about their past-week unhealthy food and alcohol consumption and mental health. Using latent growth curve modeling analysis, we found that higher perceived health and interpersonal COVID-19 impact, younger age and lower depression symptoms were associated with more rapid increases over time in unhealthy food consumption. On the other hand, higher perceived COVID-19 economic impact and older age were associated with more rapid diachronic decreases in alcohol consumption. Gender and living with or without children, for women only, were moderators of these trajectories. This longitudinal study provides strong evidence identifying the multiple repercussions of COVID-19 and mental health factors on unhealthy food and alcohol consumption. These findings highlight the need for interventions aimed at minimizing the impact of the pandemic on unhealthy food and alcohol consumption over time.


2015 ◽  
Vol 28 (6) ◽  
pp. 547-555 ◽  
Author(s):  
Laura Sampson ◽  
Gregory H. Cohen ◽  
Joseph R. Calabrese ◽  
David S. Fink ◽  
Marijo Tamburrino ◽  
...  

2020 ◽  
Vol 4 (5) ◽  
Author(s):  
DeAnnah R Byrd ◽  
Roland J Thorpe ◽  
Keith E Whitfield

Abstract Background and Objectives Previous studies have linked stress to multiple negative mental health outcomes, including depression. This established stress–depression association is typically examined in one direction and cross-sectionally. This study examined the bidirectional relationships between depressive symptoms and changes in perceived stress over time in Blacks. Research Design and Methods The present study uses a community-dwelling sample of 450 Black adults, aged 51–96 years old, who participated in the Baltimore Study of Black Aging—Patterns of Cognitive Aging. Perceived stress—measured by the Perceived Stress Scale—and depressive symptoms—measured using the Center for Epidemiologic Studies Depression scale—were both assessed at baseline and follow-up 33 months later. Ordinary least squares regression was used to examine 2 bidirectional longitudinal relationships between (1) stress–depression and (2) depression–stress, and whether these associations are modified by age. Results Initial analyses testing the typical stress–depression relationship showed an effect in the expected direction, that is stress leading to more depressive symptoms over time, adjusting for model covariates, but the effect was not statistically significant (b = 0.014, p = .642). After accounting for baseline perceived stress level, age, sex, education, and chronic health conditions, depressive symptoms were positively associated with follow-up stress (b = 0.210, p < .000). The depression–stress association further varied by age group such that the impact of baseline depression on changes in perceived stress was greatest in Blacks in their 60s versus those in their 50s (b = 0.267, p = .001), controlling for model covariates. Discussion and Implications Contrary to previous work, the results suggest that an individual’s mental health shapes his/her perception of stressful events and this relationship varies by age group. While the typical finding (stress impacting depression) was not significant, the findings reported here highlight the importance of considering the possible bidirectional nature of the relationships between psychosocial measures of stress and mental health in later life among Blacks.


2017 ◽  
Vol 49 (3) ◽  
pp. 1163-1186 ◽  
Author(s):  
Christopher Ojeda ◽  
Julianna Pacheco

Do changes in health lead to changes in the probability of voting? Using two longitudinal datasets, this article looks at the impact of three measures of health – physical health, mental health and overall well-being – on voting trajectories in young adulthood. The results show that self-rated health is associated with a lower probability of voting in one’s first election, depression is related to a decline in turnout over time and physical limitations are unrelated to voting. Some familial resources from childhood are also found to condition when the health–participation effect manifests.


Author(s):  
den Cruyce Nele Van

Background: Disease outbreaks such as the COVID-19 pandemic give rise to high levels of psychological distress in people worldwide. Since this is the first pandemic of its kind, the best available evidence is needed on what psychological needs could be expected during and after the pandemic. Objectives: In this scoping review existing research on traumatogenic events is examined in order to identify the potential impact on mental health of the COVID pandemic. The research findings are organized using the the phases of disaster response model. Results: A total of 34 longitudinal studies, 2 studies with multiple waves of data collection and 92 cross-sectional studies met the inclusion criteria. The studies included in this scoping review could be classified as: 87 studies on COVID-19, 2 on SARS, 19 on wars, 19 on terrorist attacks and 1 on a nuclear accident. Results indicate that stress, anxiety, depressive symptoms, insomnia, denial, anger, grief and fear can be anticipated as common reactions. The longer a pandemic continues, the higher the psychological strain is expected to be. Conclusions: The phases of response to disaster model offers a valid frame to unravel the impact of the pandemic on mental health over time. Specific attention must be given to vulnerable groups, whereby specific risk factors include age, gender, pre-existing mental health problems, healthcare profession, migration background, isolation and low socio economic status. However, these may change over time, and a delayed manifestation of psychosocial problems needs to be considered too. Mental health governance is, therefore, warranted throughout and even up to 6 months after the pandemic.


2021 ◽  
Vol 5 (Supplement_1) ◽  
pp. 314-314
Author(s):  
Karen Lyons ◽  
Amy Rauer

Abstract This session includes four papers that explore and expand upon emerging concepts in dyadic research in health, illness, and end-of-life. First, Dr. Karen Lyons and colleagues examine the concept of dyadic mental health in mid-late life couples living with lung cancer. The paper examines the impact of having optimal versus poor dyadic mental health at diagnosis on the physical health of the couple over time, but also explores the ways we examine the concept of dyadic health in research and potential implications of these methods. Second, Dr. Lyndsey Miller and colleagues take a dyadic approach to understanding the roles of social activity and connectedness on depressive symptoms in a sample of community-dwelling older couples. The paper not only highlights important gender differences, but also the salient role of incongruent dyadic physical health. Third, Dr. Ranak Trivedi and colleagues describe the findings of a novel pilot intervention targeted at improving dyadic self-management in care dyads where one member is a Veteran with chronic conditions. The paper draws upon concepts of collaboration and dyadic coping to conceptualize self-management as a dyadic phenomenon. Finally, Dr. Buck and colleagues explore the novel concept of dyadic dissolution in a sample of family caregivers after the death of their care partner. The paper explores the concept as a cognitive and affective process with implications for how the surviving partner adapts over time. Speakers and Discussant, Dr. Amy Rauer, will focus on implications of these concepts for advancing dyadic science of health and illness across the lifespan.


2019 ◽  
Vol 3 (Supplement_1) ◽  
pp. S260-S260
Author(s):  
Aaron M Ogletree ◽  
Rosemary Blieszner ◽  
Rachel Pruchno ◽  
Jyoti Savla ◽  
Laura P Sands

Abstract More than 62% of adults aged 65+ have more than one chronic condition; this number increases to more than 82% for those 85+. Older adults simultaneously experience changes in their relationships due to negative relational life events, including illness, injury, or death of a loved one. Stressors occurring in tandem can overload psychological resources and increase risk for poor mental health. Informed by the stress process model, we assessed the influence of relational life events on depressive symptoms over time and evaluated the moderating effects of chronic condition onset. Self-reports of four stressful life events, five chronic conditions, and depressive symptoms as measured by the CES-D came from 2,948 older adults participating in the ORANJ BOWL panel. Using longitudinal multilevel mixed effect modeling, we examined trajectories of depressive symptoms across three waves. While depressive symptoms increased over time, they were greater for people who experienced more relational life events and the onset of more chronic conditions. Participants who reported experiencing all four relational life events but no chronic conditions had an average CES-D score of 5.28 (p<.0001); average CES-D score increased to 12.72 (p<.0001) for those who reported four life events and the onset of four or more new chronic conditions during the study period. In summary, chronic condition onset moderated the relationship between life events and depressive symptoms. Findings highlight the need for practitioner awareness of increased mental health risks for people experiencing stressors in multiple domains of life.


1996 ◽  
Vol 9 (1) ◽  
pp. 13-21 ◽  
Author(s):  
Kathleen M. Beusterien ◽  
Bruce Steinwald ◽  
John E. Ware

Longitudinal data from a clinical trial were analyzed to evaluate the usefulness of the SF-36 Health Survey in estimating the impact of depression and changes in severity over time on the functional health and well-being of 532 patients, 60 to 86 years of age, who met DSM-III-R criteria for major depressive disorder. The Hamilton Depression Rating Scale, the Clinician's Global Impression of Severity and Improvement, and the Geriatric Depression Scale were used to define clinical severity and changes in severity over a 6-week period. Answers to SF-36 questions tended to be complete and to satisfy assumptions underlying methods of scale construction and scoring. As hypothesized, the SF-36 Mental Health Scale and Mental Component Summary measure, shown in previous studies to be most valid in measuring differences in mental health, exhibited the strongest associations with severity of depression in cross-sectional analyses and were most responsive to changes in severity in longitudinal comparisons. We conclude that the SF-36 Health Survey is useful for estimating the burden of depression and in monitoring changes in functional health and well-being over time among the depressed elderly.


2020 ◽  
Vol 20 (1) ◽  
Author(s):  
Franziska Mosler ◽  
Stefan Priebe ◽  
Victoria Bird

Abstract Aims The DIALOG scale has been implemented as a routine patient outcome and experience measure (PROM/PREM) in a mental health trust in East London since 2017. The resulting healthcare dataset was used to estimate satisfaction with life and treatment aspects over time and factors associated with it. Methods Variables available from the Trust were DIALOG items, service level, clinical and basic demographic data. Data was extracted in February 2019. Data is described using a range of descriptive statistics and looking at the subgroups: treatment stage, diagnosis, service type. Predictors for average DIALOG scores across patients was explored with clustered linear regression models. A fixed effect model was chosen to estimate the impact of clinical and service related variables on patient’s average DIALOG scores over time. Sensitivity analyses with the whole data set and complete cases were carried out. Results Of the original 18,481 DIALOG records 12, 592 were kept after data cleaning (5646 patients). The average DIALOG score was 4.8 (SD 1.0) on the 7-point scale. Average satisfaction with life aspects (PROM) was 4.65 (SD 1.1) and with treatment aspects (PREM) was 5.25 (SD 1.17). Across all 11 items, “job situation” scored lowest (mean 4.05) and “meetings with professionals” highest (mean 5.5). Satisfaction for all items increased over time (average increase 0.47). The largest increase was in “mental health” (0.94) and the smallest in “family relationships” (0.34). Conclusions Patients in mental healthcare services were “fairly satisfied” in both life and treatment aspects with improvements seen over time. These results will act as a benchmark for clinical services currently implementing DIALOG across the UK and inform local service developments.


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