Population-based estimates of major forms of housing insecurity among community-living older Americans.

OBJECTIVES: The number of older adults struggling to maintain adequate housing is growing. Prior studies have used various criteria to measure housing insecurity; however, no standardized definition exists to date. Using a multidimensional approach, our study sought to calculate population-based estimates of various forms of housing insecurity among community-living older Americans and determine how these estimates differ across key characteristics. METHODS: This study utilized data from the 2011 round of the National Health and Aging Trends Study (NHATS), a prospective longitudinal study of Medicare beneficiaries aged 65 years or older. Three key forms of housing insecurity were operationalized: poor housing affordability (PHA), poor housing quality (PHQ), and poor neighborhood quality (PNQ). Population-based estimates of these forms of housing insecurity were calculated using analytic sampling weights and stratified by age, gender, race and ethnicity, frailty status, and dementia status. RESULTS: Totally 6466 participants were included in the analysis, representing 29,848,119 community-living older Americans. The mean (standard deviation) age was 77.3 (7.7) years; by weighted percentages, 56.0% identified as female, 81.3% as White, 8.2% Black, and 7.1% Hispanic. At least one form of housing insecurity was identified in 38.5% of older Americans. Individually, the prevalence of PHA was 14.8%, PHQ 24%, and PNQ 12.5%. The prevalence of at least one form of housing insecurity was higher among persons of color (62.9% Black and 66% Hispanic vs White; p < 0.001), those with frailty (40.9% pre-frail and 49.4% frail vs robust; p < 0.001), and those with cognitive impairment (48.1% possible and 51% probable dementia vs no dementia; p < 0.001). DISCUSSION: Nearly one in three community-living older Americans experience at least one form of housing insecurity. This was most common among vulnerable subgroups. Our multidimensional approach to defining various forms of housing insecurity can be used for future studies focused on improving social determinants of health among high-risk older adults.

Recommendations for Clinicians to Combat Environmental Disparities in Pediatric Asthma: A Review.

TOPIC IMPORTANCE: Asthma is a common and complex lung disease in children, with disproportionally higher prevalence and related adverse outcomes among children in racial and ethnic minority groups, and of lower socioeconomic position. Environmental factors, including unhealthy housing and school-based exposures, can contribute to increased asthma morbidity and widening disparities. This underscores a significant environmental justice issue and suggests the need for clinical interventions to reduce sources of environmental exposures and ultimately diminish the observed disparities in childhood asthma. REVIEW FINDINGS: Unhealthy housing conditions, including secondhand tobacco smoke, allergen exposure, and indoor air pollution, can exacerbate asthma symptoms in children. Although unhealthy housing can occur anywhere, such situations most frequently occur in urban, low-income environments where renting is common. To reduce environmental triggers, clinicians can recommend smoking cessation, cleaning techniques to mitigate exposure, and even directly contacting landlords to address poor housing conditions. Children spend much of their time in schools, where this built environment is also a source of asthma triggers (eg, poor ventilation) and allergens (eg, mold and pests, chemicals). As such, a multidisciplinary approach is needed to adequately address the burden of childhood asthma to equitably reduce disparities to both harmful exposures and negative health outcomes. SUMMARY: Racial, ethnic, and socioeconomic disparities exist in asthma morbidity in children, and such disparities are driven in part by environmental factors at the housing and school level. Clinicians can make evidence-based recommendations to drive effective exposure reduction strategies to mitigate asthma morbidity and reduce observed disparities.

Fuel poverty and mental health in a COVID-19 context.

Fuel poverty is a widespread problem which affects people's health and has serious economic and social repercussions. Mental health has been adversely affected by the COVID-19 pandemic and appears to be particularly influenced by fuel poverty. We analyze this relationship while highlighting the unequal vulnerability of individuals in the population. We first built a novel database of 4194 representative observations of the French adult population. We then used a conditional mixed-process model to quantify the causal effect of fuel poverty on mental health using instrumental variables to overcome potential endogeneity. We prove the robustness of this causal effect by providing different sensitivity tests. Our results show that being fuel poor decreases the mental health score by 6.3 points out of 100. Fuel poverty also increases the depression score by 5.35 points, the anxiety score by 6.48 points, and decreases the social health score by 6.82 points. Our results show that tackling energy poverty can lead to positive spillover effects to improve mental health. Mitigation policies to provide energy-efficient housing should also become a priority to address climatic and economic hazards in the long term because they imply co-benefits in health.

Non-invasive methods for analysing pig welfare biomarkers.

At present, the assessment of pig welfare quality has gained significant importance, prompting the exploration of novel biomarkers for this purpose. Traditionally, these biomarkers have been monitored in the blood; however, blood sampling is considered an invasive procedure. Currently, non-invasive methods for collecting samples are emerging as viable alternatives for assessing these biomarkers. This article aims to present the current knowledge regarding the use of non-invasive methods for analysing pig welfare biomarkers, specifically focusing on the saliva, hair, faeces, and urine as matrices to determine these biomarkers. The saliva analysis encompasses various biomarkers, such as cortisol, alpha-amylase, chromogranin A, the total esterase, oxytocin, acute phase proteins, adenosine deaminase, immunoglobulins and parameters of redox homeostasis. Cortisol, a specific biomarker, can be determined in the hair, urine and faeces, while urine samples allow for the analysis of catecholamines as non-invasive markers of pig welfare.

Mothers in stress: Hair cortisol of mothers living in marginalised Roma communities and the role of socioeconomic disadvantage.

Roma living in marginalised communities are among the most disadvantaged groups in Slovakia. Socioeconomic disadvantage is associated with higher hair cortisol concentrations (HCC), including in parents. The aim of this study is therefore to assess differences in HCC, reflecting the levels of stress, between mothers living in MRCs and from the majority population, to assess the association of socioeconomic disadvantage with HCC, and whether disadvantage mediates the MRC/majority differences in HCC. Participants were mothers of children aged 15-18 months old living in MRCs (N=61) and from the Slovak majority population (N=90). During preventive paediatric visits, visits at community centres and home visits, hair samples and data by questionnaire were collected. HCC differed significantly between mothers living in MRCs and mothers from the majority population, with the mean HCC value being twice as high in mothers living in MRCs (22.98 (95% confidence interval, CI, 15.70-30.30) vs. 11.76 (8.34-15.20), p<0.05). HCC was significantly associated with education, household equipment and household overcrowding, but not with billing, socioeconomic stress and social support. The difference in HCC between mothers living in MRCs and mothers from the majority population was partially mediated by poor house equipment, such as no access to running water, no flushing toilet or no bathroom (the indirect effect of B=7.63 (95% CI: 2.12-13.92)). Practitioners and policymakers should be aware of high stress levels among mothers living in MRCs and aim at enhancing their living and housing conditions.

Housing conditions, cooking fuels, and health-related quality of life among rural middle-aged and elderly in northwest China: A ten-year balanced panel study.

To investigate the impacts of improving housing conditions and transitioning to clean cooking fuels on health-related quality of life (HRQOL) among middle-aged and elderly populations in rural China. METHODS: Using a 10-year longitudinal follow-up study, we examined changes in housing conditions, cooking fuel use, and HRQOL among 690 Chinese adults aged 45 above in rural areas. HRQOL was assessed using the European Quality of Life-5 Dimensions 3 Levels (EQ-5D-3L) questionnaire. Generalized estimating equations were utilized to analyze correlations between variables. RESULTS: Using four-period balanced panel data of 10 years, there were significant differences in the self-reporting of mobility, self-care, usual activities, pain / discomfort and anxiety / depression in rural middle-aged and elderly people (p < 0.05). In terms of the EQ-5D index score and EQ-VAS score, showed a decreasing trend (p < 0.05). The housing area, housing material type, utilization of sanitary toilets, separation of housing and kitchen were separated and non-solid fuels used as cooking fuel were significantly associated with high HRQOL (p < 0.05). CONCLUSIONS: This study found that good housing conditions and the use of non-solid cooking fuel had positive effects on health-related quality of life of middle-aged and elderly people in rural areas of northwest China.

Housing and Cardiometabolic Risk Among Older Renters and Homeowners.

Scholars consistently find that renters have poorer health outcomes when compared with homeowners. Health disparities between renters and homeowners likely widen over the life course, yet few studies have examined this link among older adults, and the connection is not fully understood. Homeowners' relative socioeconomic advantage may explain their better health; renters also more commonly experience adverse housing conditions and financial challenges, both of which can harm health. In this paper, we analyze the extent to which socioeconomic advantage, housing conditions, and financial strain explain the relationship between homeownership and health among adults over age 50, using Health and Retirement Study 2010/2012 data to assess cardiometabolic risk levels using biomarkers for inflammation, cardiovascular health, and metabolic function. We find that people living with poor housing conditions and financial strain have higher cardiometabolic risk levels, even taking socioeconomic advantage into account. This analysis sheds light on the housing-related health challenges of older adults, especially older renters.

No heat, no eat: (Dis)entangling insecurities and their implications for health and well-being.

This study explores the associations between energy poverty, food insecurity, and a set of outcomes-including the self-reported burden of chronic illness, physical disabilities, and mental health-among social-aid recipients across Israel. We highlight the socio-demographic characteristics and housing conditions of energy-poor households and analyze the association between energy poverty and health and well-being using multivariate regression models. Of 1390 aid-recipient respondents, more than 85% met the criteria for living in an energy-poor household, and almost all of them also struggled with food insecurity and were raised in poor households as children. In addition, the severity of energy poverty was positively and significantly associated with the occurrence of diabetes, hypertension, and mental illness, and, as compared with energy-secure households, severely energy-poor households were more prone to forgo acquiring prescription medications, medical aid, or required health treatments due to financial hardships. These findings highlight the nuanced negotiation over necessities that aid-supported households make; despite being at greater risk of being sick, energy-poor households are more likely to forgo buying medicines and seeking healthcare so as to pay the electricity bills. Hidden energy poverty, coupled with what might be hidden morbidity, may have significant implications for healthcare systems, and a climate-sensitive health policy at both the municipal and national levels is required to strengthen resilience among low-income households.

Environmental enrichment accelerates the acquisition of schedule-induced drinking in rats.

Environmental enrichment (EE) provides an improvement in the housing conditions of experimental animals, such as laboratory rats, with greater physical and social stimulation through toys and company in the home cages. Its use is known to influence performance of experimental protocols, but these effects have not been well determined in the schedule-induced drinking (SID) procedure. The main goal of this study was to investigate the effects of EE on the acquisition of SID in 24 12-week-old male Wistar rats, divided into two groups, a group with EE housed with toys and companions, and a group without enrichment in individual housing conditions without toys (social isolation and no environmental enrichment, INEE). A total of 25 sessions, under a fixed time 30 s food reinforcement schedule and with access to water in the experimental chambers were carried out. Sessions lasted 30 min. The results showed that the EE group developed faster the excessive drinking pattern of SID, and drank to higher levels, than the INEE group. The greater development of SID in the EE group contradicts the view of schedule-induced behavior as linked to stress reduction and better suits with the conception of induction related to positive reinforcement.

Social determinants associated with psychological distress in children and adolescents during and after the first COVID-19-related lockdown in France: results from the CONFEADO study.

BACKGROUND: This study aimed to analyze the parental socio-demographic characteristics of children and adolescents aged 9 to 18 years old, as well as the living and housing conditions associated with the psychological distress in these two sub-populations during and after France's first national COVID-19-related lockdown in spring 2020. METHODS: We used data from the cross-sectional, observational, web-based study CONFEADO, which collected data on children and adolescents' living and housing conditions and socio-demographic characteristics as well as those of their parents. It also collected data on children's and adolescents' health behaviors and psychological distress. We assessed psychological distress using the 10-item Children and Adolescents Psychological Distress Scale (CAPDS-10), and performed a multinomial logistic regression. RESULTS: A total of 2882 children and adolescents were included in the present study. Factors associated with moderate psychological distress included being a female, parental financial difficulties, a lack of a private living space at home for the child/adolescent, and the following child health behaviors: no leisure or recreational activities with adults in the household, doing less than one hour of school homework a day, and not going outside during the lockdown. Severe psychological distress was associated with the parent's occupation (especially essential frontline workers), a lack of a private living space at home for the child/adolescent, and the following child health behaviors: spending over 5 h a day on social media, doing less than one hour of school homework a day, and no leisure or recreational activities with adults in the household. CONCLUSIONS: This study emphasizes the impact of housing and living conditions, as well as parents' socio-economic characteristics on children's health behaviors and psychological needs during the first COVID-19-related lockdown in France. Our results suggest that health policies implemented during future pandemics should consider these structural social determinants to prevent severe psychological distress in children and adolescents.

How murine models of human disease and immunity are influenced by housing temperature and mild thermal stress.

At the direction of The Guide and Use of Laboratory Animals, rodents in laboratory facilities are housed at ambient temperatures between 20°C and 26°C, which fall below their thermoneutral zone (TNZ). TNZ is identified as a range of ambient temperatures that allow an organism to regulate body temperature without employing additional thermoregulatory processes (e.g. metabolic heat production driven by norepinephrine), thus leading to mild, chronic cold stress. For mice, this chronic cold stress leads to increased serum levels of the catecholamine norepinephrine, which has direct effects on various immune cells and several aspects of immunity and inflammation. Here, we review several studies that have revealed that ambient temperature significantly impacts outcomes in various murine models of human diseases, particularly those in which the immune system plays a major role in its pathogenesis. The impact of ambient temperature on experimental outcomes raises questions regarding the clinical relevance of some murine models of human disease, since studies examining rodents housed within thermoneutral ambient temperatures revealed that rodent disease pathology more closely resembled that of humans. Unlike laboratory rodents, humans can modify their surroundings accordingly - by adjusting their clothing, the thermostat, or their physical activity - to live within the appropriate TNZ, offering a possible explanation for why many studies using murine models of human disease conducted at thermoneutrality better represent patient outcomes. Thus, it is strongly recommended that ambient housing temperature in such studies be consistently and accurately reported and recognized as an important experimental variable.

Insights from the judgement bias paradigm: social group and tank size do not affect mental state in female guppies.

Optimal holding conditions are key to animal welfare. How stressful husbandry is perceived by the animal can be determined via an assessment of an animal's mental state - where it is positioned on the continuum between optimistic and pessimistic states - and can be measured using the judgement bias paradigm. In this test, individuals are trained to distinguish a rewarded from an unrewarded cue before being presented an ambiguous, intermediate cue. The response time to the ambiguous cue is then indicative of mental state. A shorter latency suggests a more positive (optimistic) mental state and a longer latency a more negative (pessimistic) mental state. Here, the authors used the judgement bias paradigm to assess the impact of standard laboratory housing conditions on the mental states of female guppies (Poecilia reticulata). As it is debated which holding conditions confer optimal welfare, they tested the impact of husbandry on mental state by keeping animals for 3 weeks in small or large social groups in either small or large tanks. They found that the different standard housing conditions used did not lead to differences in mental state. As an unexpected side result, they found that female guppies seem lateral. Their findings of comparable mental state across housing conditions suggest either that guppies perceive the tested conditions as equally stressful or, alternatively, that guppies are relatively resilient to the combination of group and tank sizes tested in this study. The authors conclude that the judgement bias paradigm can be a useful tool to assess fish welfare.

Household living conditions and individual behaviours associated with malaria risk: a community-based survey in the Limpopo River Valley, 2020, South Africa.

BACKGROUND: Over the past decade, implementation of multiple malaria control strategies in most countries has largely contributed to advance the global malaria elimination agenda. Nevertheless, in some regions, seasonal epidemics may adversely affect the health of local populations. In South Africa, Plasmodium falciparum malaria is still present, with the Vhembe District experiencing an incidence rate of 3.79 cases/1000 person-years in 2018, particularly in the Limpopo River Valley, bordering Zimbabwe. To elucidate the complexity of the mechanisms involved in local regular malaria outbreaks, a community-based survey was implemented in 2020 that focused on the relationship between housing conditions and malaria risky behaviours. METHODS: The community-based cross-sectional survey was conducted among the population of three study sites in the Vhembe District, which were selected based on malaria incidence rate, social and health characteristics of inhabitants. The household survey used a random sampling strategy, where data were collected through face-to-face questionnaires and field notes; to described the housing conditions (housing questionnaire), and focus on individual behaviours of household members. Statistical analyses were performed combining hierarchical classifications and logistic regressions. RESULTS: In this study, 398 households were described, covering a population of 1681 inhabitants of all ages, and 439 adults who participated in community-based survey. The analysis of situations at risk of malaria showed that the influence of contextual factors, particularly those defined by the type of habitat, was significant. Housing conditions and poor living environments were factors of malaria exposure and history, regardless of site of investigation, individual preventive behaviours and personal characteristics of inhabitants. Multivariate models showed that, considering all personal characteristics or behaviours of inhabitants, housing conditions such as overcrowding pressures were significantly associated with individual malaria risk. CONCLUSIONS: The results showed the overwhelming weight of social and contextual factors on risk situations. Considering the Fundamental Causes Theory, malaria control policies based on health behaviour prevention, should reinforce access to care or promoting health education actions. Overarching economic development interventions in targeted geographical areas and populations have to be implemented, so that malaria control and elimination strategies can be efficiently and effectively managed.

Without Affordable, Accessible, and Adequate Housing, Health Has No Foundation.

Policy Points Today's housing disparities are rooted in the increasing commodification of housing that has taken precedence over the need for shelter, a basic human right. With rising housing costs across the country, more residents are finding their monthly income going to rent, mortgage payments, property taxes, and utilities, leaving little for food and medication. Housing is a determinant of health, and with increasing housing disparities, action must be taken to ensure no individual is displaced, communities remain intact, and cities continue to thrive.

The Residential Environment and Health and Well-Being of Chinese Migrant Populations: A Systematic Review.

China's internal migrants suffer from marginalised housing conditions, poor neighbourhood environments and residential segregation, which may have significant implications on health and well-being. Echoing recent calls for interdisciplinary research on migrant health and well-being, this study examines the associations and mechanisms of the impact of the residential environment on the health and well-being of Chinese migrants. We found that most of the relevant studies supported the "healthy migration effect", but the phenomenon was only applicable to migrants' self-reported physical health rather than mental health. The subjective well-being of migrants is lower than that of urban migrants. There is a debate between the effectiveness of residential environmental improvements and the ineffectiveness of residential environmental improvements in terms of the impact of the neighbourhood environment on migrants' health and well-being. Housing conditions and the neighbourhood's physical and social environment can enhance migrants' health and well-being by strengthening place attachment and social cohesion, building localised social capital and gaining neighbourhood social support. Residential segregation on the neighbourhood scale affects the health outcomes of migrant populations through the mechanism of relative deprivation. Our studies build a vivid and comprehensive picture of research to understand migration, urban life and health and well-being.

Associations between COVID-19 risk, multiple environmental exposures, and housing conditions: A study using individual-level GPS-based real-time sensing data.

Few studies have used individual-level data to explore the association between COVID-19 risk with multiple environmental exposures and housing conditions. Using individual-level data collected with GPS-tracking smartphones, mobile air-pollutant and noise sensors, an activity-travel diary, and a questionnaire from two typical neighborhoods in a dense and well-developed city (i.e., Hong Kong), this study seeks to examine 1) the associations between multiple environmental exposures (i.e., different types of greenspace, PM2.5, and noise) and housing conditions (i.e., housing types, ownership, and overcrowding) with individuals' COVID-19 risk both in residential neighborhoods and along daily mobility trajectories; 2) which social groups are disadvantaged in COVID-19 risk through the perspective of the neighborhood effect averaging problem (NEAP). Using separate multiple linear regression and logistical regression models, we found a significant negative association between COVID-19 risk with greenspace (i.e., NDVI) both in residential areas and along people's daily mobility trajectories. Meanwhile, we also found that high open space and recreational land exposure and poor housing conditions were positively associated with COVID-19 risk in high-risk neighborhoods, and noise exposure was positively associated with COVID-19 risk in low-risk neighborhoods. Further, people with work places in high-risk areas and poor housing conditions were disadvantaged in COVID-19 risk.

Social Isolation Does Not Alter Exploratory Behaviour, Spatial Learning and Memory in Captive Damaraland Mole-Rats (Fukomys damarensis).

Exploratory behaviour, spatial learning and memory affect the survival of animals and appear to be dependent on the specific habitat that a species occupies. Good spatial navigation and memory are particularly important for subterranean animals, as it is energetically expensive to inhabit this niche. Damaraland mole-rats are subterranean mammals that live in colonies with organised social structures. Damaraland mole-rats have been maintained in the laboratory for many years and can be housed in groups or individually. We evaluated the effect of social isolation on the exploratory behaviour and spatial memory of single-housed and colony-housed animals and also considered potential differences in animals with different social statuses. We predicted that solitary housing would increase anxiety-like behaviour and result in higher activity and more errors when solving a maze. Exploration by colony- and single-housed mole-rats was tested in an open-field test, where all individuals explored readily. Single-housed queens and non-breeding females showed increased activity and spent more time in tunnels, which can be explained by increased anxiety. In the Y-maze, improvements in solving the maze were observed in all experimental groups, except in single-housed non-breeding females. In addition, all males showed a decrease in the number of errors in the maze. Spatial learning is thus apparent but could not be conclusively proven. It was possibly underestimated, as magnetic cues that may be used by mole-rats as stimuli for navigation were removed in the experimental setup. Overall, it appears that social isolation has a limited effect on the exploratory behaviour and spatial learning of Damaraland mole-rats.

Cumulative exposure to poor housing conditions and psychological well-being: Does the relationship differ for young and middle-aged adults and older adults?

OBJECTIVES: This study examined whether cumulative exposure to poor housing conditions is negatively associated with psychological well-being, and whether this association varies by age. METHODS: Using fifteen waves of the Korean Welfare Panel Study between 2005 and 2019 (118,500 person-observations), this study employed fixed-effects regression models to account for unobserved individual-level heterogeneity. Exposure to poor housing conditions ranged from 1 to more than 5 annual waves. To formally test for age heterogeneity, interactive models were estimated. RESULTS: The trajectories of change in psychological well-being associated with cumulative exposure to poor housing conditions were different between young and middle-aged adults and older adults. Among young and middle-aged adults, the levels of depressive symptoms increased in the first year of exposure but remained at a similar level since then. In contrast, with the persistence of poor housing conditions, older adults continued to develop greater depressive symptoms over time. Similar age differences were found for life satisfaction. As exposure to poor housing conditions accumulated, life satisfaction persistently declined among older adults, but not young and middle-aged adults. CONCLUSION: This study suggests that cumulative exposure to poor housing conditions has more adverse psychological consequences for older adults than young and middle-aged adults.

Can Homes Affect Well-Being? A Scoping Review among Housing Conditions, Indoor Environmental Quality, and Mental Health Outcomes.

The purpose of the scoping review is to explore the relationship between housing conditions, indoor environmental quality (IEQ), and mental health implications on human well-being. In fact, time spent at home increased due to the recent COVID-19 lockdown period, and social-sanitary emergencies are expected to grow due to the urbanization phenomenon. Thus, the role of the physical environment in which we live, study, and work, has become of crucial importance, as the literature has recently highlighted. This scoping review, conducted on the electronic database Scopus, led to the identification of 366 articles. This, after the screening processes based on the inclusion criteria, led to the final inclusion of 31 papers related specifically to the OECD area. The review allowed the identification of five housing conditions [house type, age, and floor level; housing qualities; household composition; neighborhood; green spaces] that, by influencing the IEQ parameters, had impacts on the mental health outcomes addressed. By synthesizing the contributions of the review, a list of design recommendations has been provided. These will serve as a basis for future researchers, from which to develop measures to reduce inequalities in housing by making them healthier, more resilient, and salutogenic.