scholarly journals Adult Education: A Sustainable Model for the Reduction of Psychosocial and Educational Risks Caused by COVID-19

2021 ◽  
Vol 13 (9) ◽  
pp. 5264
Author(s):  
Manuel-Jesús Perea-Rodríguez ◽  
Juan-Agustín Morón-Marchena ◽  
María-Carmen Muñoz-Díaz ◽  
David Cobos-Sanchiz
Keyword(s):  
Risk Factors ◽  
Adult Education ◽  
Healthy Aging ◽  
Teacher Assessment ◽  
Psychosocial Risk Factors ◽  
Psychosocial Risk ◽  
Educational Activity ◽  
Psychological State ◽  
Dynamic Factor ◽  
New Perspective

Education for health and sustainability has to be understood from a new perspective beyond the traditional conceptual limits. Thus, following the lines of the 2030 sustainable development goals, we examine how permanent education and adult education can become a fundamental element for the achievement of said objectives, serving as a neutraliser of psychosocial risk factors. In other words, a quality education throughout life becomes a dynamic factor for the development of lifestyle habits and healthy aging, purposes that during the pandemic and the state of alarm have been altered by confinement, closure of educational centres, and methodological changes. The objective of the study is to analyse whether the maintenance of educational activity has influenced the psychological state of people, reducing, neutralising, or increasing the psychosocial risk factors linked to confinement and the evolution of COVID-19. For this, an observational study was developed, taking as a case the Universidad Popular Dos Hermanas (Seville, Spain), with a sample of 384 learners over the age of 16 years. The variables considered were sociodemographic means and technical tools, assessment of the institution, teacher assessment, and psychosocial variables related to possible effects caused by the context. The data were collected through a self-developed questionnaire. Descriptive analyses and bivariate correlations were carried out. Methodological diversity and positive correlations were shown in terms of the institution’s function, teaching assessment, maintenance of activity, and reduction of psychopathological risks.

Suicide Attempts Among Depressed Inpatients with Depressive Disorder in a Malaysian Sample

Crisis ◽  
2011 ◽  
Vol 32 (5) ◽  
pp. 283-287 ◽  
Author(s):  
L. F. Chan ◽  
T. Maniam ◽  
A. S. Shamsul
Keyword(s):  
Risk Factors ◽  
Suicidal Ideation ◽  
Suicide Attempt ◽  
Depressive Disorder ◽  
Suicide Attempts ◽  
Psychosocial Risk Factors ◽  
Psychosocial Risk ◽  
Life Event ◽  
Axis I ◽  
A Current

Background: Depressed inpatients constitute a high-risk population for suicide attempts. Aims: To describe the interactions of clinical and psychosocial risk factors influencing suicide attempts among a Malaysian sample of depressed inpatients. Methods: Seventy-five subjects were diagnosed with a depressive disorder according to the Structured Clinical Interview for DSM-IV Axis I Disorders-Clinical Version (SCID-CV). Data on suicide attempts, suicidal ideation (Scale for Suicidal Ideation, SSI), depression severity (Beck’s Depression Inventory, BDI), recent life-event changes (Social Readjustment Rating Scale, SRRS), sociodemographic and other relevant clinical factors were collected. Results: A third of the subjects presented after a current suicide attempt. Significant factors for a current suicide attempt were race, religion, recent life-event changes, suicidal ideation, and alcohol use disorder. Independent predictive risk factors for a current suicide attempt were Chinese race, recent marital separation, major mortgage or loans, and being newly diagnosed with depression. Any recent change in personal habits was shown to be a protective factor against current suicide attempt. Age and gender were nonsignificant factors. Conclusions: The findings are generally consistent with existing studies and highlight the role of psychosocial risk factors.

Psychosocial Risk Factors and Nonfatal Myocardial Infarction

Circulation ◽  
1995 ◽  
Vol 92 (6) ◽  
pp. 1458-1464 ◽  
Author(s):  
Nancy J. O’Connor ◽  
JoAnn E. Manson ◽  
Gerald T. O’Connor ◽  
Julie E. Buring
Keyword(s):  
Risk Factors ◽  
Myocardial Infarction ◽  
Psychosocial Risk Factors ◽  
Nonfatal Myocardial Infarction ◽  
Psychosocial Risk

scholarly journals Utility of the INTERMACS Database on Studying Psychosocial Risk Factors in LVAD Patients

2021 ◽  
Vol 40 (4) ◽  
pp. S417
Author(s):  
V. Patel ◽  
J. Martens ◽  
J. Choi ◽  
C. Cheyne ◽  
S. McNitt ◽  
...  
Keyword(s):  
Risk Factors ◽  
Psychosocial Risk Factors ◽  
Psychosocial Risk

scholarly journals Optimization Method to Address Psychosocial Risks through Adaptation of the Multidimensional Knapsack Problem

Mathematics ◽  
2021 ◽  
Vol 9 (10) ◽  
pp. 1126
Author(s):  
Marta Lilia Eraña-Díaz ◽  
Marco Antonio Cruz-Chávez ◽  
Fredy Juárez-Pérez ◽  
Juana Enriquez-Urbano ◽  
Rafael Rivera-López ◽  
...  
Keyword(s):  
Risk Factors ◽  
Simulated Annealing ◽  
Knapsack Problem ◽  
Simulated Annealing Algorithm ◽  
Psychosocial Risk Factors ◽  
Psychosocial Risk ◽  
Multidimensional Knapsack Problem ◽  
Optimal Subset ◽  
Multidimensional Knapsack ◽  
A Company

This paper presents a methodological scheme to obtain the maximum benefit in occupational health by attending to psychosocial risk factors in a company. This scheme is based on selecting an optimal subset of psychosocial risk factors, considering the departments’ budget in a company as problem constraints. This methodology can be summarized in three steps: First, psychosocial risk factors in the company are identified and weighted, applying several instruments recommended by business regulations. Next, a mathematical model is built using the identified psychosocial risk factors information and the company budget for risk factors attention. This model represents the psychosocial risk optimization problem as a Multidimensional Knapsack Problem (MKP). Finally, since Multidimensional Knapsack Problem is NP-hard, one simulated annealing algorithm is applied to find a near-optimal subset of factors maximizing the psychosocial risk care level. This subset is according to the budgets assigned for each of the company’s departments. The proposed methodology is detailed using a case of study, and thirty instances of the Multidimensional Knapsack Problem are tested, and the results are interpreted under psychosocial risk problems to evaluate the simulated annealing algorithm’s performance (efficiency and efficacy) in solving these optimization problems. This evaluation shows that the proposed methodology can be used for the attention of psychosocial risk factors in real companies’ cases.

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