scholarly journals Factors associated with mental well-being of homeless people in Japan

2013 ◽  
Vol 68 (2) ◽  
pp. 145-153 ◽  
Author(s):  
Kae Ito ◽  
Suimei Morikawa ◽  
Tsuyoshi Okamura ◽  
Kentaro Shimokado ◽  
Shuichi Awata

2015 ◽  
Vol 206 (6) ◽  
pp. 461-465 ◽  
Author(s):  
Sarah Stewart-Brown ◽  
Preshila Chandimali Samaraweera ◽  
Frances Taggart ◽  
Ngianga-Bakwin Kandala ◽  
Saverio Stranges

BackgroundResearch on mental well-being is relatively new and studies of its determinants are rare.AimsTo investigate whether the socioeconomic correlates of mental well-being mirror those for mental illness.MethodUsing logistic regression analyses, the independent odds ratios of high and low mental well-being, compared with middle-range mental well-being, were estimated for a number of sociodemographic variables known to be associated with mental illness from 13 983 participants in the 2010 and 2011 Health Surveys for England.ResultsIndependent odds ratios for low mental well-being were as expected from studies of mental illness with increased odds for the unemployed (OR = 1.46, 95% CI 1.01–2.10) and those aged 35–54 years (OR = 1.58, 95% CI 1.35–1.84) and reduced odds for the married (OR = 0.78, 95% CI 0.62–0.97). A linear trend was observed with education and equivalised income. Odds ratios for high mental well-being differed from those for low mental well-being with regard to age (55+ years: OR = 1.48, 95% CI 1.23–1.79); employment status where there was an association only with retirement (OR = 1.35, 95% CI 1.09–1.69); education where there was no association; and equivalised income for which the association was non-linear.ConclusionsOdds ratios for low mental well-being mirrored those for mental illness, but not those for high mental well-being, suggesting that the socioeconomic factors associated with positive mental health are different from those associated with mental illness.



Author(s):  
Antonio De Fano ◽  
Rotem Leshem ◽  
Tal Dotan Ben-Soussan

In this overview, we discuss the internal and external environmental factors associated with cognitive and psycho-emotional well-being in the context of physical activity and Mindful Movement. Our key argument is that improved cognitive and emotional functions associated with mental well-being can be achieved by an external, Mindful Movement-based environment training called Quadrato Motor Training (QMT). QMT is a structured sensorimotor training program aimed at improving coordination, attention, and emotional well-being through behavioral, electrophysiological, neuroanatomical, and molecular changes. In accordance with this argument, we first describe the general neurobiological mechanisms underpinning emotional states and emotion regulation. Next, we review the relationships between QMT, positive emotional state, and increased emotion regulation, and discuss the neurobiological mechanisms underlying these relationships. We consider the relationships between motion, emotion, and cognition, and highlight the need for integrated training paradigms involving these three trajectories. Such training paradigms provide cognitively engaging exercises to improve emotion regulation, which in turn affects adaptive behaviors. Finally, we address the broader implications of improving cognitive and emotional functioning through Mindful Movement training for environmental research and public health.



Author(s):  
T. Perez Oteiza ◽  
L. Kelly ◽  
P. Mooney

Abstract. It is well established that city life can impact on individuals’ mental well-being. Factors associated with modes of transport in a city, such as cycle corridors and the reliability of bus network, and environment factors, such as availability of green spaces, have been shown to relate to individuals’ well-being in the city. Smart cities contain a wealth of digital data which has been used in the management and organisation of cities. Such data is gathered from sensors, networks and systems which contain rich insights on factors associated with city life. Such as, for example, the availability of open spaces in the city, traffic congestion, and air quality levels. We propose that these smart city data sources and data flows can act as contextual cues to indicate the mental well-being of individuals in the city. That is, we propose harnessing indicators and patterns in datasets known to be associated with well-being, and using these as contextual cues for automated city well-being level estimation. In this initial investigation, we focus on contextual cues associated with active travel and transportation, environmental information and green infrastructure. We propose an AI-based system which uses these contextual cues to generate an indicator of mental well-being in the city.



2021 ◽  
Vol 50 (3) ◽  
pp. 232-240 ◽  
Author(s):  
Victoria JE Long ◽  
Wei Shien Koh ◽  
Young Ern Saw ◽  
Jean CJ Liu

Introduction: Amid the COVID-19 pandemic, many rumours have emerged. Given prior research linking rumour exposure to mental well-being, we conducted a nationwide survey to document the base rate of rumour exposure and factors associated with rumour vulnerability. Methods: Between March and July 2020, 1,237 participants were surveyed on 5 widely disseminated COVID-19 rumours (drinking water frequently could be preventive, eating garlic could be preventive, the outbreak arose because of bat soup consumption, the virus was created in an American lab, and the virus was created in a Chinese lab). For each rumour, participants reported whether they had heard, shared or believed each rumour. Results: Although most participants had been exposed to COVID-19 rumours, few shared or believed these. Sharing behaviours sometimes occurred in the absence of belief; however, education emerged as a protective factor for both sharing and belief. Conclusion: Our results suggest that campaigns targeting skills associated with higher education (e.g. epistemology) may prove more effective than counter-rumour messages.



Author(s):  
Monisha Sharma ◽  
Claire J Creutzfeldt ◽  
Ariane Lewis ◽  
Pratik V Patel ◽  
Christiane Hartog ◽  
...  

Abstract Background Assessing the impact of COVID-19 on intensive care unit (ICU) providers’ perceptions of resource availability and evaluating factors associated with emotional distress/burnout can inform interventions to promote provider well-being. Methods Between April 23-May 7, 2020, we electronically administered a survey to physicians, nurses, respiratory therapist (RTs) and advanced practice providers (APPs) caring for COVID-19 patients in the US. We conducted multivariate regression to assess associations between concerns, reported lack of resources and three outcomes: emotional distress/burnout (primary outcome), and two secondary outcomes: 1) fear that hospital is unable to keep providers safe, and 2) concern about transmitting COVID-19 to family/community. Results We included 1,651 respondents from all 50 states; 47% nurses, 25% physicians, 17% RTs, 11% APPS. Shortages of intensivists and ICU nurses were reported by 12% and 28% of providers, respectively. The largest supply restrictions reported were for powered air purifying respirators (PAPRs); (56% reporting restricted availability). Provider concerns included worries about transmitting COVID-19 to family/community (66%), emotional distress/burnout (58%), and insufficient personal protective equipment (PPE) (40%). After adjustment, emotional distress/burnout was significantly associated with insufficient PPE access (aRR: 1.43, 95% CI: 1.32 - 1.55), stigma from community (aRR: 1.32, 95% CI: 1.24 - 1.41), and poor communication with supervisors (aRR:1.13, 95% CI: 1.06 - 1.21). Insufficient PPE access was the strongest predictor of feeling that the hospital is unable to keep providers safe and worries about transmitting infection to families/communities. Conclusion Addressing insufficient PPE access, poor communication from supervisors, and community stigma may improve provider mental well-being during the COVID-19 pandemic.



2021 ◽  
Vol 12 ◽  
Author(s):  
Sarah Negash ◽  
Nadja Kartschmit ◽  
Rafael T. Mikolajczyk ◽  
Stefan Watzke ◽  
Paula Mayara Matos Fialho ◽  
...  

Background: Previous findings suggest that university students are at an elevated risk to experience financial hardship and to suffer from depressive symptoms. This vulnerability may have substantially increased during the coronavirus disease 19 (COVID-19) pandemic which might have affected students' socio-economic situation but possibly also their mental well-being. We examined whether the financial situation changed during the COVID-19 pandemic among German university students, and whether changes were associated with mental well-being.Methods: We conducted a cross-sectional online survey in May and July 2020 at five German universities. Participants were asked, if they had sufficient financial resources to cover monthly expenses before and during the pandemic. The answer options were dichotomized into worsened and no change/better financial situation compared to before the COVID-19 pandemic. Depressive symptoms were assessed using the CES-D 8 scale. For examining associations between sociodemographic, study-related, and financial factors and “worsened financial situation,” we ran a generalized linear mixed model. To assess associations between depressive symptoms and worsened financial situation, we performed a linear mixed model.Results: We included 7,199 participants in the analyses (69% female, 30% male, 1% diverse, mean age: 24 years, standard deviation: 4.7). Overall, 25% of the participants reported to have a worsened financial situation at the time of the survey than in the time before COVID-19. Factors associated with a worsened financial situation were migration background, parents not being academics, not being able to borrow money, and payment of tuition fee by student and loan [odds ratios (OR) ranging from 1.20 to 2.35]. Factors associated with lower odds were: being single, living with others, studying a health-related field, being enrolled in a doctoral/Ph.D. or state exam program, and publicly funded tuition/tuition paid with a scholarship (OR ranging from 0.42 to 0.80). A worsened financial situation was associated with 1.02 points more on the CES-D 8 scale (95% CI: 0.80–1.24).Conclusion: Our results suggest that the pandemic put a number of students under financial strain with detrimental consequences for their mental well-being. Renewed attention must be paid to this vulnerable group to prevent the potentially damaging effects on their mental health.



2020 ◽  
Vol 38 (29_suppl) ◽  
pp. 173-173
Author(s):  
Audrey M Sigmund ◽  
Ashley Elizabeth Rosko ◽  
Sarah A Janse ◽  
Janell Pisegna ◽  
Jessica L. Krok-Schoen ◽  
...  

173 Background: The majority of cancer survivors are older adults (≥65 years), but their lifestyle behaviors are understudied. Factors associated with improved physical and mental well-being in older female cancer survivors are not well understood. The objective of this study was to evaluate the factors associated with physical and mental well-being in older female cancer survivors, including the role of malnutrition, physical activity, and level of emotional support. Methods: Older female cancer survivors (n=171) completed surveys to assess health related quality of life (HRQoL) using SF-36, malnutrition screening tool (MST), and physical activity. Demographics were also collected. The data was analyzed using descriptive analyses, correlations, and ANCOVAs. Survivors were divided into four phenotypes for analysis using the SF-36 physical and mental composite scores (PCS; MCS) stratified based on the sample’s mean scores (table). Factors associated with the four groups were assessed including demographic characteristics, cancer type, level of emotional support, risk for malnutrition, and physical activity. Results: The majority of the cohort (mean age=74.5 years) were white and highly educated. 68.4% were breast cancer survivors, with 10.5% hematologic malignancy survivors, 5.3% gynecologic malignancy survivors, and 15.8% other. Mean PCS and MCS were 41.94 and 48.47, respectively, comparable to general older adult population means. When divided into four groups based on PCS/MCS, there were no significant differences by demographic characteristics or cancer type. Survivors with higher emotional support scores had significantly higher PCS/MCS scores (p<0.001). There was also a significant difference in risk for malnutrition, as those with high PCS/MCS were at lower risk for malnutrition (p≤0.001). Survivors with low PCS/MCS engaged in less moderate exercise as compared to those with high PCS/MCS (p=0.028). Conclusions: This study suggests that lower risk for malnutrition as well as higher levels of emotional support are associated with higher physical and mental well-being in older female cancer survivors. These are two potential modifiable targets for interventional studies to optimize physical and mental well-being among older cancer survivors. [Table: see text]



10.2196/29069 ◽  
2021 ◽  
Vol 23 (4) ◽  
pp. e29069
Author(s):  
Bradley A Evanoff ◽  
Jaime R Strickland ◽  
Ann Marie Dale ◽  
Lisa Hayibor ◽  
Emily Page ◽  
...  



2016 ◽  
pp. 1-9
Author(s):  
A.P. GREENFIELD ◽  
S. BANERJEE ◽  
A. DEPASQUALE ◽  
N. WEISS ◽  
J. SIREY

Objectives: This study used the Evans model of public health determinants to identify factors associated with nutritional risk in older adults. Design: The Evans model domains (physical and mental well-being, social/environmental statuses, individual choice, and economic security) were measured in a sample of homebound older adults. Regularized logistic regression analysis with LASSO penalty function was used to determine the strongest domain of the Evans model. Using traditional logistic regression, individual variables across all domains were compared to identify the significant predictors. Setting: Older adults receiving home meal services were referred to the study by community program staff. Participants: Participants included 164 homebound older adults (age > 60) who endorsed at least one gateway symptom of depression. Measurements: Nutritional risk was determined using the Mini Nutritional Assessment. Domains of the Evans model were measured using the MAI Medical Condition Checklist, items from the IADL scale, the Structured Clinical Interview for DSM-IV Axis I Disorders, the Duke Social Support Index, living arrangements, marital status, the Alcohol Use Disorders Identification Test, items from the SCID Screening Module, and a self-report of perceived financial security. Results: Poor mental well-being, defined by a diagnosis of major depressive disorder, was identified as the strongest Evans model domain in the prediction of nutritional risk. When each variable was independently evaluated across domains, instrumental support (Wald’s Z=-2.24, p=0.03) and a history of drug use (Wald’s Z=-2.40, p=0.02) were significant predictors. Conclusions: The Evans model is a useful conceptual framework for understanding nutritional health, with the mental domain found to be the strongest domain predictor of nutritional risk. Among individual variables across domains, having someone to help with shopping and food preparation and a history of drug use were associated with lower nutritional risk. These analyses highlight potential targets of intervention for nutritional risk among older adults.



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