The psychosocial impact concept improves the understanding of the effects of disasters on people and communities. However, its definition is not clear. This work explores consistencies between studies (k = 21) that refer to the psychosocial impact of disasters by way of a meta-analytic synthesis. This synthesis indicates that people are more prone to illness when they are exposed to a disaster, and less when they are protected (OR = 2.737). Please check the change conveys the intended meaning or amend Nevertheless, there are no differences in healthy responses, regardless of how protected or exposed they are (OR = 1.053). Finally, a model is proposed to explain four types of psychosocial impact: resilient, traumatic, sensitive, witness.

Background and Objectives: This systematic review with meta-analysis aimed to evaluate and synthesize the scientific evidence of interventions for sleep disorders on sleep quality, cognitive function, and quality of life in older adults with mild cognitive impairment (MCI). Materials and Methods: A systematic literature search was conducted between April 2024 and January 2025 using the Core Collection of seven generic databases: PubMed, EBSCOhost, CINAHL Complete, Cochrane, Scopus, ProQuest, and Web of Science. The PRISMA, RoB 2.0, and GRADEpro tools assessed the evidence’s methodological quality and certainty. The protocol was registered in PROSPERO (CRD42024558406). Results: A total of 2815 records were found in the databases, of which eight studies were analyzed using the PICOS format. There was a significant large effect (p = 0.005) in favor of the experimental group compared to the control group in the Sleep Quality Index (p = 0.005). No significant differences were reported for the other variables studied. Conclusions: Interventions for sleep disorders in older people with MCI aimed at improving sleep quality demonstrated significant effects assessed with PSQI. Individual results demonstrated limited effects on cognitive function and quality-of-life assessments.

Objectives: The problem is to determine whether, after a disaster, unemployment is a possible cause of post-traumatic stress disorder (PTSD) – the classic model, or whether PTSD is a possible cause of unemployment – the alternative model. Material and Methods: The study was conducted on a...

Los desastres se caracterizan por generar un impacto en las personas y comunidades expuestas, quienes responderán de manera disruptiva o saludable. El objetivo de esta investigación es definir ese impacto psicosocial mediante el diseño y validación de una escala: SPSI-D. Para eso: se revisó literatura centrada en el impacto de los desastres; se diseñaron ítems que fueron evaluados por jueces-expertos; y se validó la escala en una muestra de personas expuestas al terremoto y tsunami del 27 de Febrero de 2010 en Chile. Se utilizó el análisis factorial paralelo, confirmatorio y curvas ROC. Los resultados evidencian la validez, fiabilidad y precisión de la SPSI-D, la que quedó conformada por 51 ítems, agrupados en 6 dimensiones. El instrumento integra las ventajas de medir respuestas disruptivas y saludables después de un desastre. Se deja la SPSI-D a disposición de los profesionales que la requieran.

This meta-analysis examined how unemployment, a psychosocial stressor, influences post-traumatic stress disorder (PTSD) and complex PTSD (CPTSD). It specifically explores unemployment as a risk factor for trauma, with emphasis on CPTSD, and investigates economic variables, including the GINI coefficient, as potential moderators. A systematic search in Web of Science, Scopus, and PubMed yielded 33 studies comprising more than 57,000 participants. Odds ratios (OR) were computed, and a random-effects model was used to synthesize the findings. Meta-regression analyses were conducted to evaluate the effects of economic inequality (GINI) and nominal gross domestic product (NGDP), but neither moderator reached statistical significance; this is addressed in detail in the Discussion. The results revealed that unemployment significantly elevated the risk for PTSD (OR = 1.500; logOR = 0.3826; PI: 0.457–4.702) and CPTSD (OR = 2.180; logOR = 0.7430; PI: 0.501–8.808), with a stronger impact on CPTSD. These findings emphasize unemployment as a pivotal predictor of trauma, especially CPTSD, broadening the traditional focus on interpersonal factors. They also highlight the importance of integrating psychosocial and economic variables into clinical assessments and public health policies. Addressing both unemployment and economic inequality could be critical for effective interventions and prevention efforts, underscoring the need for further multidisciplinary research.