Sleep is a topic of scientific and technological relevance, as it is closely related to cognition, emotional well-being, and human health. In addition, health-related geopolitical and social changes have significant implications for sleep research, which in turn is linked to the sustainable development goals (SDGs). An integrative review is conducted to analyze multidisciplinary studies in the field of sleep, considering the socioecological model of sleep health and the SDGs. Sleep was found to play a key role in promoting several SDG: (1) Social and economic inclusion: sleep is linked to poverty eradication, food security, reducing inequalities, and promoting peace and justice; (2) Promoting well-being and quality of life: sleep quality directly affects health, education, gender equality, environmental protection, and combating climate change; (3) Economic and environmental sustainability: Adequate sleep contributes to decent work, innovation, infrastructure, responsible consumption, sustainable communities and collaboration through partnerships. This thematic organization provides an overview of the different aspects of the intersection between sleep health disparities and the SDG.

The health and social benefits of volunteering behaviours by older adults are well acknowledged. However, few review articles have been concerned with the correlates/dimensions of older adults’ volunteerism. Some focused only on the North American context or reviewed studies only up to 2008. This study reviewed the recent global literature in the past decade about the correlates of older adults’ volunteerism. We carried out a literature search in PsycINFO, Social Services Abstracts, Sociological Abstracts and Google Scholar to identify empirical journal publications about the correlates of older adults’ (age 60+) volunteerism from 2008 to 2019. Among 112 initially eligible papers, 41 were selected. Findings were synthesised using the framework of the Socioecological Model. Existing studies mainly have used quantitative methodologies and were conducted within the context of a single Western country. Motivations included higher education, morale and mentality, previous experiences, social network, community cohesion and organisational management. Major barriers were health and financial constraints. Few studies focused on macro-level correlates. Irrelevant and confounding correlates were also discussed. We suggest practitioners recruit and retain older volunteers by identifying their needs and optimising management within the organisation. Policy makers should create a supportive environment and increase resource accessibility. Future research could conduct cross-cultural comparisons, use diverse methodologies and embrace more correlates, especially at the macro-level.

Background: Disaster recovery is a complex phenomenon. Too often, recovery is measured in singular fashion, such as quantifying rebuilt infrastructure or lifelines, without taking in to account the affected population's individual and community recovery. A comprehensive framework is needed that encompasses a much broader and far-reaching construct with multiple underlying dimensions and numerous causal pathways; without the consideration of a comprehensive framework that investigates relationships between these factors, an accurate measurement of recovery may not be valid. This study proposes a model that encapsulates these ideas into a single framework, the Socio-Ecological Model of Recovery.

Methods: Using confirmatory factor analysis, an operational measure of recovery was developed and validated using the five measures of housing stability, economic stability, physical health, mental health, and social role adaptation. The data were drawn from a sample of displaced households following Hurricane Katrina. Measures of psychological strength, risk, disaster exposure, neighborhood contextual effects, and formal and informal help were modeled to examine their direct and indirect effects on recovery using a structural equation model.

Findings: All five elements of the recovery measure were positively correlated with a latent measure of recovery, although mental health and social role adaptation displayed the strongest associations. An individual's psychological strength had the greatest association with positive recovery, followed by having a household income greater than $20 000 and having informal social support. Those factors most strongly associated with an absence of recovery included the time displaced since the hurricane, being disabled, and living in a community with substantial social disorder.

Discussion: The socio-ecological framework provides a robust means for measuring recovery, and for testing those factors associated with the presence or absence of recovery.

(Disaster Med Public Health Preparedness. 2010;4:S46-S54)