Designing mosaic landscapes for sustainable outcome: Evaluating land-use options on ecosystem service provisioning in southwestern Ghana.

The landscape in southwestern Ghana faces rampant modification due to socio-economic activities, posing threats to ecosystem service provision and environmental sustainability. Addressing these threats involves empowering land-use actors to design landscapes that offer multiple benefits concurrently. This study employs a geodesign framework, integrating participatory ecosystem service assessment and spatial simulations. This geodesign framework aims to design the landscape in a collaborative manner in a way that supports multiple benefits concurrently, mitigating the threats posed by landscape modification. Reflecting on local land-use perceptions during a workshop, we developed land-use options and land management strategies based on selected land-cover types. We identified urban greens, open space restoration, rubber mixed-stands, mangrove restoration, selective-cutting land preparation, soil conservation, and relay cropping as land-use options to target selected land-cover types of shrubland, cropland, smallholder rubber, smallholder palm, wetland, and settlement. The land management strategies translated into landscape scenarios based on local need conditions. We generated the local need conditions which translated into the landscape scenarios by reflecting on the location of land-cover types, 'change-effect' conditions within rubber, settlement, and cropland, and 'no-change'conditions within cropland. Results indicate synergies between the created landscape scenarios and ecosystem service provisioning, with 'no-change' within cropland providing the highest synergy and 'change-effect' within rubber providing the least synergy. Spatial modeling of local perceptions forms the novelty of this study, as the fusion of participatory assessments and spatial modeling allows for a more holistic understanding of the landscape, its services, and the potential implications of different management strategies. The geodesign framework facilitated the design of the complex heterogeneous landscape to visualize possibilities of maximizing multiple benefits and can be used for future planning on the landscape.

Participatory and Spatially Explicit Assessment to Envision the Future of Land-Use/Land-Cover Change Scenarios on Selected Ecosystem Services in Southwestern Ghana.

Settlement expansion and commercial agriculture affect landscape sustainability and ecosystem service provision. Integrated landscape approaches are promoted to negotiate trade-offs between competing land uses and their reconciliation. Incorporating local perceptions of landscape dynamics as basis for such negotiations is particularly relevant for sub-Saharan Africa, where most people depend on natural ecosystems for livelihoods and well-being. This study applied participatory scenario building and spatially explicit simulation to unravel perceptions of the potential impact of rubber and settlement expansion on the provision of selected ecosystem services in southwestern Ghana under a business-as-usual scenario. We collected data in workshops and expert surveys on locally relevant ecosystem services, their indicator values, and the probable land-use transitions. The data was translated into an assessment matrix and integrated into a spatially explicit modeling platform, allowing visualization and comparison of the impact on ecosystem service provision of land-use scenarios under rubber plantation and settlement expansion. The results show the capacity of current (2020) and future land-use patterns to provide locally relevant ecosystem services, indicating a decline in capacity of ecosystem service provisioning in the future compared to the 2020 land-use patterns, a threat to the benefits humans derive from ecosystems. This highlights urgent need for policies and measures to control the drivers of land-use/land-cover change. Furthermore, the results emphasize the importance of diversifying land-use/land-cover types for sustainable landscape development. The paper contributes new insights into how spatially explicit and semi-quantitative methods can make stakeholder perceptions of landscape dynamics explicit as a basis for implementing integrated landscape approaches.

Impact of forest landscape restoration in combating soil erosion in the Lake Abaya catchment, Southern Ethiopia.

As an effect of forest degradation, soil erosion is among Ethiopia's most pressing environmental challenges and a major threat to food security where it could potentially compromise the ecosystem functions and services. As the effects of soil erosion intensify, the landscape's capacity to support ecosystem functions and services is compromised. Exploring the ecological implications of soil erosion is crucial. This study investigated the soil loss and land degradation in the Lake Abaya catchment to explore forest landscape restoration (FLR) implementation as a possible countermeasure to the effects. The study used a geographic information system (GIS)-based approach of the Revised Universal Soil Loss Equation (RUSLE) to determine the potential annual soil loss and develop an erosion risk map. Results show that 13% of the catchment, which accounts for approximately 110,000 ha, is under high erosion risk of exceeding the average annual tolerable soil loss of 10 t/ha/year. Allocation of land on steep slopes to crop production is the major reason for the calculated high erosion risk in the catchment. A scenario-based analysis was implemented following the slope-based land-use allocation proposal indicated in the Rural Land Use Proclamation 456/2005 of Ethiopia. The scenario analysis resulted in a reversal erosion effect whereby an estimated 3000 t/ha/year of soil loss in the catchment. Thus, FLR activities hold great potential for minimizing soil loss and contributing to supporting functioning and providing ecosystem services. Tree-based agroforestry systems are among the key FLR measures championed in highly degraded landscapes in Ethiopia. This study helps policymakers and FLR implementors identify erosion risk areas for future FLR activities. Thereby, it contributes to achieving the country's restoration commitment.

Personal and Professional Mitigation Behavioral Intentions of Agricultural Experts to Address Climate Change.

Mitigation activities, whether at the personal level relating to lifestyle or on the professional level, especially in the agriculture sector, are widely encouraged by scientists and policymakers. This research empirically analyses the association between agricultural experts' perceptions about climate change and their intention to implement climate change mitigation. Based on survey data, individuals' reported intention to implement personal and professional mitigation behavior is explained using a conceptual model. The structural equation modeling results suggest that the new ecological paradigm (NEP), institutional trust, and risk salience indirectly influence climate change mitigation intentions. The findings indicate that risk perception, personal efficacy, responsibility, belief in climate change occurring, and low psychological distance trigger a significantly greater intention to support personal and professional mitigation behaviors. However, the research framework is much stronger at predicting the intention to mitigate climate change in professional affairs compared to personal activities. The findings suggest that hypothetical distance factors only have a moderating effect on the relationship between higher climate change environmental values, institutional trust, risk salience, and mitigation intention. This paper analytically explores the regulating role of risk perception, hypothetical distance, personal efficacy, and responsibility between institutional trust, risk salience, and the NEP as independent concepts and intention to personal and professional mitigation behaviors as dependent variables. The findings of the study have important implications for encouraging personal and professional mitigation behaviors.

Early-Life Socioeconomic Circumstances and Physical Activity in Older Age: Women Pay the Price.

Health in older age is shaped by early-life socioeconomic circumstances (SECs) and sex. However, whether and why these factors interact is unclear. We examined a cultural explanation of this interaction by distinguishing cultural and material aspects of SECs in the context of physical activity-a major determinant of health. We used data from 56,331 adults between 50 and 96 years old from the Survey of Health, Ageing and Retirement in Europe (SHARE), a 13-year, large-scale, population-based cohort. Confounder-adjusted logistic linear mixed-effects models showed an association between the cultural aspects of early-life SEC disadvantage and physical activity among women, but it was not consistently observed in men. Furthermore, these associations were compensated for only partially by adult-life socioeconomic trajectories. The material aspects of early-life SECs were not associated with adult-life physical activity. These findings highlight the need to distinguish different aspects of SECs because they may relate to health behaviors in diverse ways.

Lower social participation partly explains the association between perceived neighbourhood crime and depressive symptoms in European adults aged 50 years or older: A longitudinal mediation analysis.

Neighbourhood crime likely increases the risk of developing depression among older adults. However, little is known about the underlying behavioural and social pathways. We examined the association between perceived neighbourhood crime and depressive symptoms and whether this relationship was mediated by health behaviours (physical activity, smoking, and alcohol consumption) and social participation. Furthermore, we explored differential vulnerability across age, gender, education and household wealth. Data were drawn from six waves of longitudinal data (from 2004/2005 to 2017) of approximately 15,000 adults aged 50 years and older, derived from the multi-national Survey of Health, Ageing and Retirement in Europe. Perceived neighbourhood crime and covariates were measured at baseline, time-variant mediators and depressive symptoms across all waves. Confounder-adjusted mediator and outcome models were fitted with mixed-effects models. Total association was decomposed into direct and indirect pathways applying causal mediation analyses with Monte-Carlo simulations. Perceived crime was associated with higher risk of depressive symptoms; 4.6% of the effect was mediated via lower engagement in social activities (b = 0.005; 95% CI: 0.001-0.009). No mediation was detected through physical activity, smoking or alcohol consumption. Exploratory analyses revealed that the mediating role of social participation was more pronounced among participants with low household wealth (b = 0.012; 95% CI: 0.004-0.023; 7.3% mediated). Lower engagement in social activities partly explained the association between perceived neighbourhood crime and depressive symptoms in adults aged 50 years or older. Policies targeting disadvantaged communities to prevent crime and support social participation might be beneficial for population mental health, especially among financially vulnerable older residents.

Physical inactivity amplifies the negative association between sleep quality and depressive symptoms.

Poor sleep quality and physical inactivity are known risk factors for depressive symptoms. Yet, whether these factors differently contribute to depressive symptoms and whether they interact with one another remains unclear. Here, we examined how sleep quality and physical activity influence depressive symptoms in 79,274 adults 50 years of age or older (52.4% women) from the Survey of Health, Aging and Retirement in Europe (SHARE) study. Sleep quality (poor vs. good), physical activity (inactive vs. active), and depressive symptoms (0 to 12 score) were repeatedly collected (7 waves of data collection) between 2004 and 2017. Results showed that sleep quality and physical activity were associated with depressive symptoms. Specifically, participants with poorer sleep quality reported more depressive symptoms than participants with better sleep quality (b = 1.85, 95% CI = 1.83-1.86, p < .001). Likewise, compared to physically active participants, physically inactive participants reported more depressive symptoms (b = 0.44, 95% CI = 0.42-0.45, p < .001). Moreover, sleep quality and physical activity showed an interactive association with depressive symptoms (b = 0.17, 95% CI = 0.13-0.20, p < .001). The negative association between poor sleep quality and higher depressive symptoms was stronger in physically inactive than active participants. These findings suggest that, in adults 50 years of age or older, both poor sleep quality and physical inactivity are related to an increase in depressive symptoms. Moreover, the detrimental association between poor sleep quality and depressive symptoms is amplified in physically inactive individuals.

Advantaged socioeconomic conditions in childhood are associated with higher cognitive functioning but stronger cognitive decline in older age.

Cognitive aging is characterized by large heterogeneity, which may be due to variations in childhood socioeconomic conditions (CSC). Although there is substantial evidence for an effect of CSC on levels of cognitive functioning at older age, results on associations with cognitive decline are mixed. We examined by means of an accelerated longitudinal design the association between CSC and cognitive trajectories from 50 to 96 years. Cognition included two functions generally found to decline with aging: delayed recall and verbal fluency. Data are from six waves of the Survey of Health, Aging, and Retirement in Europe (SHARE), conducted between 2004 and 2015 (n = 24,066 at baseline; 56% female, age 50+). We found a consistent CSC pattern in levels of cognitive functioning in later life. Older people with disadvantaged CSC had lower levels of cognitive functioning than those with more advantaged CSC. We also find that decline is almost 1.6 times faster in the most advantaged group compared with the most disadvantaged group. The faster decline for people with more advantaged CSC becomes less pronounced when we additionally control for adulthood socioeconomic conditions and current levels of physical activity, depressive symptoms, and partner status. Our findings are in line with the latency, pathway, and cumulative model and lend support to theories of cognitive reserve, stating that neuronal loss can no longer be repaired in people with more cognitive reserve once the underlying pathology is substantial and speed of decline is accelerated.

Linking widowhood and later-life depressive symptoms: Do childhood socioeconomic circumstances matter?

Objectives: Widowhood and adverse childhood socioeconomic circumstances (CSC) have both been linked to increased levels of depressive symptoms in old age. Beyond their independent impact on depressive symptoms, experiencing adverse CSC may also trigger a cascade of cumulative adversity and secondary stressors across the life course that shapes how individuals weather stressful life events later on.Method: We examine whether exposure to adverse CSC moderates the relationship between later-life widowhood and depressive symptoms using data from the Survey of Health, Ageing and Retirement in Europe (2004-2017).Results: Mixed-effects models revealed that both widowhood and adverse CSC were associated with increased levels of depressive symptoms among men and women. Associations between widowhood and depressive symptoms, however, were not moderated by CSC for both genders.Conclusion: Persisting differences in the levels of mental health in response to later-life widowhood did not further widen in the presence of disparities experienced early in the life course. This may reflect the life-altering impact of this age-normative, yet stressful life event across the social strata.

Social learning as an underlying mechanism for sustainability in neglected communities: The Brazilian case of the Bucket Revolution project.

In neglected communities, waste and organic residues are not only a vector of several problems, like diseases and water pollution, but also a contributor to increasing forms of vulnerability and marginalization. At the same time, these communities also have presented innovative local initiatives and transformative learning about natural resources management that can be a vehicle for achieving more sustainable food systems. In the south of Brazil, community-based organic residue management has shown an extraordinary potential to improve food security and livelihoods for (≈1600) community members of a vulnerable urban territory. In this context, the overall objective of this article is (a) To better understand what Social Learning (SL) processes related to successful organic residues management in neglected communities exist and (b) To identify what knowledge systems are created in one empirical case. The study case is based on a communitarian waste management project, the Bucket Revolution Project (BRP). The analytical framework builds upon social learning theory and its triple-loop process focusing on four specific phenomena. The applied mixed-methods approach was made in four steps: 1. a focus group to investigate collective community issues; 2. semi-structured interviews to investigate specific and individual issues in the context of the BRP; 3. social media analysis to better understand the BRP narratives; and finally 4. participant observation in community and institutional meetings. Mainly using MaxQda software and coding indicators of SL, the data show that "Diversity of knowledge integration" is the most identified SL indicator in the interviews (52%). For BRP, identity development, community conditions improvement, and environment understanding are three key components of the knowledge system enhanced through an underlying process of social learning. Furthermore, the study also shows that there are endogenous and exogenous social learning processes at work.

Analyzing influencing factors to scale up agroforestry systems in Colombia: A comparative ex-ante assessment of cacao farming and cattle ranching in two regions.

Agroforestry systems (AFS) are proved to enhance sustainable land management. Thus, there is increasing demand for effective ways to scale up AFS so that more people can benefit. Consequently, this study assesses the scaling-up potential of agroforestry systems (AFS) using cacao farming and cattle ranching in Caquetá and Cesar, Colombia, as examples. An ex-ante assessment using the ScalA tool is conducted through interviews with AFS experts from institutions promoting AFS. Using a comparative approach, results reveal that AFS have different scaling-up potential depending on the type of farming system and location characteristics. In our case, it is slightly higher for cacao farming than for cattle ranching in both regions and it is higher in Caquetá than in Cesar for both systems. Factors hindering the scaling-up potential for both regions are economic conditions at the local and regional levels since there is a lack of stable and differentiated markets to absorb AFS products. In contrast, the scaling-up potential in both regions is increased by the factors related to the capacity of the organizations that promote AFS and the attitudes of local communities toward them. The study generates information about factors that may hinder or foster AFS scaling-up, including not just the capacities and mechanisms to promote them but also the enabling conditions. This contributes to prioritizing AFS interventions and better allocating their resources to increase their chances of successful scaling-up. Supplementary Information: The online version contains supplementary material available at 10.1007/s10457-022-00730-1.

Adoption and Impact of Kitchen Garden on Food and Nutritional Security of Farming Households in Tanzania.

This article analyzes factors influencing the adoption of kitchen gardens and food and nutrition security implications of kitchen gardens on farming households. For this, the Per Capita Kilocalorie Intake (PKCI) and Food Consumption Score (FCS) were applied as food and nutrition security indicators. This paper is based on cross-sectional data that include a sample of 825 households from two districts in Tanzania. Endogenous Switching Regression is employed to determine factors influencing the adoption of a kitchen garden and its impact on food and nutrition security of the involved farming households. The results of the analysis indicate that the adoption of a kitchen garden increased with the family size (adult equivalent), credit use, access to information, districts (location), and the usage of other water sources for agriculture in addition to rainfed. It decreased with total land size and TLU. While the adoption of a kitchen garden significantly increased adopters' FCS by 1.45 or 2.96% and non-adopters' FCS by 1.26 or 2.69%. In contrast, the adoption of a kitchen garden significantly reduced non-adopters' PKCI by 101.18 or 3.92% but it does not have significant impact for adopters. Therefore, policymakers and development organizations should further promote and scale-up the kitchen garden intervention in order to use it as a tool to enhance the household's food and nutrition security.

Assessing impacts of COVID-19 and their responses among smallholder farmers in Brazil, Madagascar and Tanzania.

This study investigates the impacts of the first wave of the COVID-19 pandemic on smallholder farmers and their coping strategies in three contrasting Low- and Middle-Income Countries. The case studies include Brazil (South region), Madagascar (Atsimo Atsinanana region), and Tanzania (Morogoro/Eastern Tanzania). These countries were chosen because i) the economies are strongly influenced by the agricultural sector; ii) their national food security is strongly affected by smallholder production, and, iii) they represent a set of contrasting government responses to COVID-19 including the denial of the pandemic. Data were collected through semi-structured household interviews in all three countries in rural areas. COVID-19 induced effects were found in all three countries, including in Brazil and Tanzania where both national governments initially neglected the existence of COVID-19 and introduced few containment measures only. Here, mobility and trade restrictions of other countries impact also on agricultural trade and production in countries in which governments took less action to COVID-19 and also people remained home and practiced social distancing even if no official government policy was issued. The findings in all three countries suggest that the COVID-19 crisis had negatively affected smallholders' agricultural production, leading to a vicious cycle of low production, low incomes, and higher food insecurity. Results of this study raise the thorny issue of how best to balance containment of pandemic and future shocks against the well-being of the vulnerable rural population in lower- and middle-income countries; especially considering also the degree of global interconnected and the potential of polices to effect people beyond the national scale.

Why Are Individuals With Diabetes Less Active? The Mediating Role of Physical, Emotional, and Cognitive Factors.

BACKGROUND: Despite the key role of physical activity in the management of diabetes, many individuals with diabetes do not engage in the recommended levels of physical activity. However, our knowledge of the mechanisms underlying the relationship between diabetes and physical inactivity is limited. PURPOSE: To investigate the associations between diabetes and the levels and evolution of physical activity across aging, and to determine whether physical, emotional, and cognitive factors mediate these associations. METHODS: Data from 105,622 adults aged 50-96 years from the Survey of Health, Ageing and Retirement in Europe (SHARE) were used in adjusted linear mixed models to examine whether diabetes was associated with physical activity levels and variations across aging. The potential mediators were subjective energy, muscle strength, physical and cognitive disability, sleep problems, depressive symptoms, and cognitive functions. The variables were measured up to seven times over a 13-year period. RESULTS: Individuals with diabetes demonstrated a lower level and a steeper decrease in physical activity across aging than individual without diabetes. Mediators explained ~53% and 94% of the association of diabetes with the level of physical activity and with the linear evolution of physical activity across aging, respectively. All mediators were significantly associated with physical activity. Physical and cognitive disability as well as depressive symptoms were the strongest mediators, while sleep was the lowest one. CONCLUSIONS: These findings suggest that the etiology of physical inactivity in individuals with diabetes can result from several physical, emotional, and cognitive changes associated with the emergence of this disease.

Sprifermin (recombinant human FGF18) is internalized through clathrin- and dynamin-independent pathways and degraded in primary chondrocytes.

Sprifermin is a human recombinant fibroblast growth factor 18 (rhFGF18) in clinical development for knee osteoarthritis. Previously, we demonstrated that sprifermin exerts an anabolic effect on chondrocytes in 3D culture with cyclic but not permanent exposure. Here, we hypothesized that permanent exposure to sprifermin de-sensitizes the cells. To test this, a combination of Western-blot and cell staining methods was used. We demonstrate that sprifermin is transiently internalized in chondrocytes along with a transient increase in ERK1/2 activation. We also show that sprifermin is intracellularly degraded, probably together with its receptor FGFR3, thus preventing further stimulation. However, incubation without sprifermin re-sensitizes the cells. Finally, we show that sprifermin endocytosis is clathrin- and dynamin-independent and that receptor activation is not necessary for sprifermin's endocytosis. In this study, we link the role of endocytosis to the cell response and elucidate for the first time a de-sensitization phenomenon to a FGF.

Muscle strength explains the protective effect of physical activity against COVID-19 hospitalization among adults aged 50 years and older.

Physical activity has been proposed as a protective factor for COVID-19 hospitalisation. However, the mechanisms underlying this association are unclear. We examined the association between physical activity and COVID-19 hospitalisation and whether this relationship was explained by risk factors (chronic conditions, weak muscle strength). We used data from adults over 50 years from the Survey of Health, Ageing and Retirement in Europe. The outcome was self-reported hospitalisation due to COVID-19, before August 2020. The main exposure was physical activity, self-reported between 2004 and 2017. Among the 3139 participants included (69.3 ± 8.5 years, 1763 women), 266 were tested positive for COVID-19, 66 were hospitalised. Logistic regression models showed that individuals who engaged in physical activity more than once a week had lower odds of COVID-19 hospitalisation than individuals who hardly ever or never engaged in physical activity (odds ratios = 0.41, 95% confidence interval = 0.22-0.74, p = .004). This association between physical activity and COVID-19 hospitalisation was explained by muscle strength, but not by other risk factors. These findings suggest that, after 50 years, engaging in physical activity is associated with lower odds of COVID-19 hospitalisation. This protective effect of physical activity may be explained by muscle strength.

Factors affecting smallholder farmers' technical and non-technical adaptation responses to drought in Iran.

Farmers adopt a range of technical and non-technical adaptation behaviors (TANAB) to alleviate the negative effects of drought. Understanding this adaptation behavior and its determinants is essential for improving adaptation capacity and promoting sustainable agriculture. In this study, we investigated the factors affecting TANAB using the Health Belief Model (HBM) as a theoretical framework. A survey was conducted of 320 farmers in Dashtestan County, Bushehr Province, southern Iran, on the shores of Persian Gulf. We used multi-stage stratified random sampling to select the research samples and applied structural equation modeling to analyze the determinants of TANAB. The findings revealed that the self-efficacy variable is the most important predictor of TANAB. As well as self-efficacy, other determinants of technical adaptation behaviors (TAB) are perceived barriers, severity, and susceptibility. Self-efficacy and cue to action were found to determine non-technical adaptive behaviors (NAB). This study indicates the differences between the determinants of TAB and NAB and emphasizes the key role of self-efficacy. The results of this study have implications for policymakers in the agricultural sector and can help in the development of interventionist policies to improve rural development in response to environmental crises. Governments and policymakers need to reinforce capacity-building potential for agricultural extension systems and adaptation training through information and communication technologies. This investment in education is critical for sustainable agricultural development and encourages farmers to adopt appropriate drought strategies aiming reducing farmers' vulnerability.

Food Insecurity and Malnutrition in Rural Tanzania: Mapping Perceptions for Social Learning.

In Tanzania, a high level of hunger persists. Several factors compound a complex scenario of food insecurity. Contextual aspects at the community level can influence the maintenance of the vulnerable local conditions. This article aims to better understand these aspects by investigating community problem perceptions in n = 04 remote rural villages in Tanzania. Furthermore, how to include community perceptions as a pedagogical element of food security projects is discussed. The methodology consists of three steps: preparatory exploration; household survey (n = 663); and pedagogical workshops (n = 270). The main results indicate that inhabitants of the four villages identify and describe their problems differently. We discovered food insecurity's hidden factors. Community problem perceptions and local knowledge play fundamental roles in critical food security, despite the environmental conditions' effect (lack of infrastructure, water scarcity). The pedagogical process of Codification and Decoding of hunger situations can generate more effective educational programs for social learning.

The Longitudinal Associations of Perceived Neighborhood Disorder and Lack of Social Cohesion With Depression Among Adults Aged 50 Years or Older: An Individual-Participant-Data Meta-Analysis From 16 High-Income Countries.

Although residential environment might be an important predictor of depression among older adults, systematic reviews point to a lack of longitudinal investigations, and the generalizability of the findings is limited to a few countries. We used longitudinal data collected between 2012 and 2017 in 3 surveys including 15 European countries and the United States and comprising 32,531 adults aged 50 years or older. The risk of depression according to perceived neighborhood disorder and lack of social cohesion was estimated using 2-stage individual-participant-data meta-analysis; country-specific parameters were analyzed by meta-regression. We conducted additional analyses on retired individuals. Neighborhood disorder (odds ratio (OR) = 1.25) and lack of social cohesion (OR = 1.76) were significantly associated with depression in the fully adjusted models. In retirement, the risk of depression was even higher (neighborhood disorder: OR = 1.35; lack of social cohesion: OR = 1.93). Heterogeneity across countries was low and was significantly reduced by the addition of country-level data on income inequality and population density. Perceived neighborhood problems increased the overall risk of depression among adults aged 50 years or older. Policies, especially in countries with stronger links between neighborhood and depression, should focus on improving the physical environment and supporting social ties in communities, which can reduce depression and contribute to healthy aging.

Early predictors of impaired sleep: a study on life course socioeconomic conditions and sleeping problems in older adults.

Objectives: This study aimed to assess how childhood socioeconomic conditions are associated with sleeping problems in older adults and how this association may be mediated by socioeconomic conditions across the lives of individuals using a life course perspective. Since the life course opportunities differ systematically between men and women, attention was given to gender differences in the association.Methods: Data from 23,766 individuals aged over 50 years of the longitudinal Survey of Health, Ageing and Retirement in Europe (SHARE) were used. Logistic mixed-effect models were estimated to examine the associations between childhood socioeconomic conditions and the presence of sleeping problems.Results: For women, the analyses showed an association between childhood socioeconomic conditions and sleeping problems. For men, only current socioeconomic conditions were found to be relevant for sleep. The importance of childhood socioeconomic conditions for sleeping problems did not affect the evolution of sleeping problems over ageing.Conclusion: In this study no empirical support was found for processes of cumulative advantage/disadvantage or age-as-leveler. However, childhood does seem to be a critical period for the sleep of women, because the association with childhood socioeconomic conditions remains even when the circumstances later in life are considered. These findings, in particular the gender differences in the association, underline the importance of tracking life course patterns in the study of sleeping problems in older adults.