Homeownership Matters: Impact of Homeownership on the Prevalence of Chronic Health Conditions in the United States.

Introduction: Homeownership is crucial for stability and healthy life. We examined the role of homeownership in predicting the prevalence of common chronic health conditions in the United States. Methods: We used 2020 Behavioral Risk Factor Surveillance System data (N = 401,958) to assess the association between homeownership and self-reported diagnosed diabetes, asthma, cancer, coronary heart disease (CHD), stroke, and kidney disease. We analyzed data by using logistic regression, adjusting for age, sex, race and ethnicity, education, employment, and income and computed odds ratios (ORs) and corresponding 95% CIs. Results: Most survey participants (66.8%) owned their residences. Age, marital status, education, and income significantly influenced homeownership. Odds of homeownership progressively increased with age, reaching a peak at 17.45 (95% CI, 16.21-18.79) for adults aged 65 years or older, and non-Hispanic White adults had the highest odds (OR = 3.34; 95% CI, 3.18-3.52). Compared with renters, homeowners generally had lower prevalence of chronic health conditions, especially among those aged 45 to 64 years. After adjusting for age, sex, and race and ethnicity, the odds of having chronic health conditions among renters were higher than those of homeowners: CHD, 1.39 (1.27-1.52); diabetes, 1.27 (1.20-1.35); asthma, 1.29 (1.23-1.36); stroke, 1.89 (1.71-2.09); and kidney disease, 1.59 (1.44-1.77). Conclusion: Homeownership can be used to predict the prevalence of several chronic health conditions. Considering its significant influence, public health initiatives should focus on housing-related interventions to improve population health.

Nitrogen dioxide exposure, health outcomes, and associated demographic disparities due to gas and propane combustion by U.S. stoves.

Gas and propane stoves emit nitrogen dioxide (NO2) pollution indoors, but the exposures of different U.S. demographic groups are unknown. We estimate NO2 exposure and health consequences using emissions and concentration measurements from >100 homes, a room-specific indoor air quality model, epidemiological risk parameters, and statistical sampling of housing characteristics and occupant behavior. Gas and propane stoves increase long-term NO2 exposure 4.0 parts per billion volume on average across the United States, 75% of the World Health Organization's exposure guideline. This increased exposure likely causes ~50,000 cases of current pediatric asthma from long-term NO2 exposure alone. Short-term NO2 exposure from typical gas stove use frequently exceeds both World Health Organization and U.S. Environmental Protection Agency benchmarks. People living in residences <800 ft2 in size incur four times more long-term NO2 exposure than people in residences >3000 ft2 in size; American Indian/Alaska Native and Black and Hispanic/Latino households incur 60 and 20% more NO2 exposure, respectively, than the national average.

Tobacco control interventions for populations living in subsidised, low-income housing: a scoping review.

OBJECTIVES: People living in subsidised low-income housing are more likely to smoke and experience secondhand smoke exposure compared to the general population. While tobacco control interventions have yielded substantial population health benefits, people living in subsidised housing experience a greater burden of tobacco-related harms. We synthesised existing peer-reviewed and grey literature to determine tobacco control interventions that have been implemented in subsidised housing globally, and to understand their impact on smoking and secondhand smoke exposure. METHODS: We searched five databases for peer-reviewed research, and Google Advanced for grey literature. We adhered to the JBI Scoping Review Methodology and Preferred Reporting Items for Systematic reviews and Meta-Analyses extension for Scoping Reviews (PRISMA-ScR) checklist. RESULTS: Fifty-seven sources met the eligibility criteria. The most common type of intervention was mandatory smoking bans covering all indoor spaces (n = 32), followed by cessation-focused interventions (n = 19). Interventions that indirectly addressed smoking were the least common (n = 6). Our findings suggest smoking bans can increase smoking cessation and reduce secondhand smoke exposure, especially if implemented alongside cessation support strategies. CONCLUSION: Tobacco control interventions targeting subsidised housing demonstrate positive effects on tobacco-related outcomes for residents and provide an important opportunity to address health disparities. Future research should examine the long-term impacts of the interventions, including potential unintended consequences, in varied subsidised housing contexts.

Indoor Emissions Contributed the Majority of Ultrafine Particles in Chinese Urban Residences.

Ultrafine particle (UFP) pollution should be controlled to reduce its effects on health. The design of control measures is limited owing to the uncertainty of source contributions in Chinese residences, where indoor UFP pollution is more severe than in Western residences. Herein, a source-specific, time-dependent UFP concentration model was developed by applying an infiltration factor model incorporating coagulation effects. A Monte Carlo framework with the UFP concentration model was employed to estimate the probabilistic distribution of source contributions in Chinese residences. The input parameter distributions were determined based on our survey and previous studies. The annually averaged indoor UFP concentration was estimated at (2.75 ± 1.71) × 104 #/cm3, ranging from 2.35 × 103 to 1.27 × 105 #/cm3 outside the kitchen, and at (5.48 ± 3.08) × 104 #/cm3, ranging from 2.90 × 103 to 1.94 × 105 #/cm3 in the kitchen. Indoor sources contributed more to indoor UFPs, accounting for 61% in the nonkitchen and 80% in the kitchen, surpassing their contribution to indoor PM2.5 in Chinese residences. Meanwhile, the indoor UFP emission contributions were higher than those in the United States, Canada, and Germany, owing to higher emissions from cooking and cigarette smoking. These results will aid in elucidating human exposure to UFPs and in designing more targeted control measures.

Assessing the choice of smoke-free policies for multiunit housing and its associated determinants in Bangladesh: a cross-sectional study.

OBJECTIVES: This study aimed to assess the desire for smoke-free housing, determine the choice of smoke-free policies for multiunit housing (MUH), and identify the factors associated with policy choice among MUH residents in Bangladesh. DESIGN: We conducted a cross-sectional study from April to November 2019 using a semi-structured survey questionnaire. SETTING: This study was conducted in seven divisional cities of Bangladesh: Dhaka, Chattogram, Rajshahi, Khulna, Sylhet, Barishal, and Rangpur. PARTICIPANTS: A total of 616 adult individuals living in MUH for at least 2 years participated in the study. PRIMARY OUTCOME MEASURE: Multinomial logistic regression was used to identify the determinants of the choice of smoke-free policies for MUH. RESULTS: Overall, 94.8% of the respondents wanted smoke-free housing. Among those who wanted smoke-free housing, 44.9% preferred a smoke-free building policy, 28.3% preferred a smoke-free common area policy, 20.2% favoured a smoke-free unit policy, and 6.7% did not know what policy they should choose. Three factors were found to be significantly associated with the choice of a smoke-free building policy: staying at home for more than 12 hours (adjusted OR (aOR): 2.6; 95% CI 1.035 to 6.493), being a non-smoker (aOR: 3.2; 95% CI 1.317 to 7.582), and having at least one family member who smoked (aOR: 3.0; 95% CI 1.058 to 8.422). Results also showed that residents having at least one child under 15 in the family (aOR: 0.3; 95% CI 0.152 to 0.778) were less likely to choose a smoke-free common area policy and that women (aOR: 3.7; 95% CI 1.024 to 13.188) were more likely to choose a smoke-free unit policy. CONCLUSIONS: MUH residents in urban Bangladesh highly demanded smoke-free housing. Most residents favoured a smoke-free building policy for MUH. Those who stayed at home for a longer time, were non-smokers, and had smoking family members were more likely to choose this policy.

Exposure and biomonitoring of PAHs in indoor air at the urban residential area of Iran: Exposure levels and affecting factors.

The concentration of polycyclic aromatic hydrocarbons (PAHs) in the air inside residential houses in Iran along with measuring the amount of 1-OHpyrene metabolite in the urine of the participants in the study was investigated by gas chromatography-mass spectrometry (GC-MS). Demographic characteristics (including age, gender, and body composition), equipment affecting air quality, and wealth index were also investigated. The mean ± standard error (SE) concentration of particulate matter 10 (PM10) and ∑PAHs in the indoor environment was 43.2 ± 1.98 and 1.26 ± 0.15 µg/m3, respectively. The highest concentration of PAHs in the indoor environment in the gaseous and particulate phase related to Naphthalene was 1.1 ± 0.16 µg/m3 and the lowest was 0.01 ± 0. 0.001 µg/m3 Pyrene, while the most frequent compounds in the gas and particle phase were related to low molecular weight hydrocarbons. 30% of the samples in the indoor environment have BaP levels higher than the standards provided by WHO guidelines. 68% of low molecular weight hydrocarbons were in the gas phase and 73 and 75% of medium and high molecular weight hydrocarbons were in the particle phase. There was a significant relationship between the concentration of some PAH compounds with windows, evaporative coolers, printers, and copiers (p < 0.05). The concentration of PAHs in houses with low economic status was higher than in houses with higher economic status. The average concentration of 1-hydroxypyrene metabolite in the urine of people was 7.10 ± 0.76 µg/L, the concentration of this metabolite was higher in men than in women, and there was a direct relationship between the amount of this metabolite in urine and the amount of some hydrocarbon compounds in the air, PM10, visceral fat and body fat. This relationship was significant for age (p = 0.01). The concentration of hydrocarbons in the indoor environment has been above the standard in a significant number of non-smoking indoor environments, and the risk assessment of these compounds can be significant. Also, various factors have influenced the amount of these compounds in the indoor air, and paying attention to them can be effective in reducing these hydrocarbons in the air.

Assessing health-related quality of life of Chinese population using CQ-11D.

PURPOSE: This study aimed to assess the health-related quality of life (HRQoL) of the Chinese population by using the Chinese medicine quality of life-11 dimensions (CQ-11D) questionnaire and to identify factors associated with HRQoL. METHODS: The data was derived from a survey conducted by the Institute of Pharmacoeconomics Evaluation at Beijing University of Chinese Medicine on the quality of life of the Chinese population. The sex and age of respondents were considered through quota sampling. Demographic, socioeconomic, and health indicators were collected using the structured questionnaire. We performed bivariate analyses first to examine the associations between the above factors and the HRQoL of respondents measured by the CQ-11D. Multivariate linear regression and ordinal logistic regression models were established to analyze the factors (demographic, socioeconomic, and health indicators) differences in HRQoL, as well as the risk of each group reporting problems across the 11 dimensions of CQ-11D. RESULTS: From February 2021 to November 2022, a total of 7,604 respondents were involved and 7,498 respondents were included. The sample approximated the general adult Chinese population in terms of age, sex, and district of residence, and each geographic distribution ranged from 9.71 to 25.54%. Of the respondents, 45.84% were male, and 89.82% were Han ethnicity. The mean utility score ranged from 0.796 to 0.921 as age increased. According to the respondents, most health problems were identified in the PL (fatigue) (70.16%) and SM (quality of sleep) (63.63%) dimensions. The CQ-11D index scores varied with the demographic and socioeconomic characteristics of respondents, except for ethnicity (p > 0.05) and income (p > 0.05). The multivariate analysis revealed significant negative associations between health utility scores and various factors. These factors include sex (female), age over 65, belonging to ethnic minorities, rural household registration, being widowed or divorced, having a primary school education or below, being a student or unemployed, having a low income of 0-1,300, engaging in smoking or drinking, limited participation in physical activities, experiencing changes in self-perceived health status compared to the previous year, and having chronic diseases. The odds of respondents reporting problems in 11 dimensions varied among different socio-demographic groups. CONCLUSIONS: This study reports the first Chinese population norms for the CQ-11D derived using a representative sample of the Chinese general population. Self-reported health status measured by the CQ-11D varies among different socio-economic groups. In addition to participation a physical activity and the presence of chronic disease, smoking and drinking also significantly influence HRQoL.

Perception of harm is strongly associated with complete ban on in-home cannabis smoking: a cross-sectional study.

BACKGROUND: Perception of health risk can influence household rules, but little is known about how the perception of harm from cannabis secondhand smoke (cSHS) is related to having a complete ban on in-home cannabis smoking. We examined this association among a nationally representative sample of United States adults. METHODS: Respondents were 21,381 adults from the cross-sectional Marijuana Use and Environmental Survey recruited from December 2019-February 2020. Perceived harm of cSHS exposure (extremely harmful, somewhat harmful, mostly safe, or totally safe) and complete ban of cannabis smoking anywhere in the home (yes or no) were self-reported. Logistic regression for survey-weighted data estimated covariate-adjusted odds ratios (OR) and 95% confidence intervals (CI) for the association between perceived harm of cSHS and complete ban on in-home cannabis smoking. Stratified subgroup analyses (by cannabis smoking status, cannabis use legalization in state of residence, and children under age 6 living in the home) were conducted to quantify effect measure modification of the association between perception of harm and complete ban. RESULTS: A complete ban on in-home cannabis smoking was reported by 71.8% of respondents. Eight percent reported cSHS as "totally safe"; 20.5% "mostly safe"; 38.3% "somewhat harmful"; and 33.0% "extremely harmful". Those who reported cSHS as "extremely harmful" had 6 times the odds of a complete ban on in-home cannabis smoking (OR = 6.0, 95%CI = 4.9-7.2) as those reporting smoking as "totally safe". The odds of a complete ban were higher among those reporting cSHS as "somewhat harmful" (OR = 2.6, 95%CI = 2.2-3.1) or "mostly safe" (OR = 1.4, 95%CI = 1.2-1.7) vs those reporting cSHS as "totally safe". In each subgroup of cannabis smoking status, state cannabis use legalization, and children under the age of 6 living in the home, perceived harm was associated with a complete ban on in-home cannabis smoking. CONCLUSIONS: Our study demonstrates perceiving cSHS as harmful is strongly associated with having a complete in-home cannabis smoking ban. With almost a third of US adults perceiving cSHS as at least "mostly safe", there is strong need to educate the general population about potential risks associated with cSHS exposure to raise awareness and encourage adoption of household rules prohibiting indoor cannabis smoking.

Use of air things radon detector in liquid samples (serum and urine).

This study involved the assessment of 222Rn concentrations in liquid samples (namely serum and urine) obtained from individuals who were smokers and non-smokers across five distinct age groups in the Najaf Governorate of Iraq. The measurements were conducted using a portable digital Air Things device commonly employed for detecting radon gas in residential environments. This device was placed in a container that is placed in liquid samples, which makes it work to capture the existing radon. The mean value of radon concentrations in serum and urine samples for smokers was 5.64 ± 2.80 Bq/m3 and 3.56 ± 2.31 Bq/m3, respectively. While, the mean value of radon concentrations in serum and urine samples for non-smokers was 2.32 ± 0.67 Bq/m3 and 1.61 ± 1.00 Bq/m3, respectively. By comparing the radon concentrations for serum and urine samples with age and smoking groups, the value of P-Value (p < 0.01) was increased significantly statistically. Also, it is found that a positive and good correlation for radon concentrations between serum and urine. Although the levels of radon were found to be under the globally accepted thresholds, the results of 222Rn in all samples of serum and urine in smokers were higher than in non-smokers. Thus, it may be concluded that cigarette smoking is used as a biomarker of the presence of radon gas.

Association of Historical Housing Discrimination and Colon Cancer Treatment and Outcomes in the United States.

PURPOSE: In the 1930s, the federally sponsored Home Owners' Loan Corporation (HOLC) used racial composition in its assessment of areas worthy of receiving loans. Neighborhoods with large proportions of Black residents were mapped in red (ie, redlining) and flagged as hazardous for mortgage financing. Redlining created a platform for systemic disinvestment in these neighborhoods, leading to barriers in access to resources that persist today. We investigated the association between residing in areas with different HOLC ratings and receipt of quality cancer care and outcomes among individuals diagnosed with colon cancer-a leading cause of cancer deaths amenable to early detection and treatment. METHODS: Individuals who resided in zip code tabulation areas in 196 cities with HOLC rating and were diagnosed with colon cancer from 2007 to 2017 were identified from the National Cancer Database and assigned a HOLC grade (A, best; B, still desirable; C, definitely declining; and D, hazardous and mapped in red). Multivariable logistic regression models investigated association of area-level HOLC grade and late stage at diagnosis and receipt of guideline-concordant care. The product-limit method evaluated differences in time to adjuvant chemotherapy. Multivariable Cox proportional hazard models investigated differences in overall survival (OS). RESULTS: There were 149,917 patients newly diagnosed with colon cancer with a median age of 68 years. Compared with people living in HOLC A areas, people living in HOLC D areas were more likely to be diagnosed with late-stage disease (adjusted odds ratio, 1.06 [95% CI, 1.00 to 1.12]). In addition, people living in HOLC B, C, and D areas had 8%, 16%, and 24% higher odds of not receiving guideline-concordant care, including lower receipt of surgery, evaluation of ≥12 lymph nodes, and chemotherapy. People residing in HOLC B, C, or D areas also experienced delays in initiation of adjuvant chemotherapy after surgery. People residing in HOLC C (adjusted hazard ratio [aHR], 1.09 [95% CI, 1.05 to 1.13]) and D (aHR, 1.13 [95% CI, 1.09 to 1.18]) areas had worse OS, including 13% and 20% excess risk of death for individuals diagnosed with early- and 6% and 8% for late-stage disease for HOLC C and D, respectively. CONCLUSION: Historical housing discrimination is associated with worse contemporary access to colon cancer care and outcomes.

Severe housing cost burden and premature mortality from cancer.

Unaffordable housing has been associated with poor health. We investigated the relationship between severe housing cost burden and premature cancer mortality (death before 65 years of age) overall and by Medicaid expansion status. County-level severe housing cost burden was measured by the percentage of households that spend 50% or more of their income on housing. States were classified on the basis of Medicaid expansion status (expanded, late-expanded, nonexpanded). Mortality-adjusted rate ratios were estimated by cancer type across severe housing cost burden quintiles. Compared with the lowest quintile of severe housing cost burden, counties in the highest quintile had a 5% greater cancer mortality rate (mortality-adjusted rate ratio = 1.05, 95% confidence interval = 1.01 to 1.08). Within each severe housing cost burden quintile, cancer mortality rates were greater in states that did not expand Medicaid, though this association was significant only in the fourth quintile (mortality-adjusted rate ratio = 1.08, 95% confidence interval = 1.03 to 1.13). Our findings demonstrate that counties with greater severe housing cost burden had higher premature cancer death rates, and rates are potentially greater in non-Medicaid-expanded states than Medicaid-expanded states.

International study of childhood leukemia in residences near electrical transformer rooms.

OBJECTIVES: New epidemiologic approaches are needed to reduce the scientific uncertainty surrounding the association between extremely low frequency magnetic fields (ELF-MF) and childhood leukemia. While most previous studies focused on power lines, the Transformer Exposure study sought to assess this association using a multi-country study of children who had lived in buildings with built-in electrical transformers. ELF-MF in apartments above built-in transformers can be 5 times higher than in other apartments in the same building. This novel study design aimed to maximize the inclusion of highly exposed children while minimising the potential for selection bias. METHODS: We assessed associations between residential proximity to transformers and risk of childhood leukemia using registry based matched case-control data collected in five countries. Exposure was based on the location of the subject's apartment relative to the transformer, coded as high (above or adjacent to transformer), intermediate (same floor as apartments in high category), or unexposed (other apartments). Relative risk (RR) for childhood leukemia was estimated using conditional logistic and mixed logistic regression with a random effect for case-control set. RESULTS: Data pooling across countries yielded 16 intermediate and 3 highly exposed cases. RRs were 1.0 (95% CI: 0.5, 1.9) for intermediate and 1.1 (95% CI: 0.3, 3.8) for high exposure in the conditional logistic model. In the mixed logistic model, RRs were 1.4 (95% CI: 0.8, 2.5) for intermediate and 1.3 (95% CI: 0.4, 4.4) for high. Data of the most influential country showed RRs of 1.1 (95% CI: 0.5, 2.4) and 1.7 (95% CI: 0.4, 7.2) for intermediate (8 cases) and high (2 cases) exposure. DISCUSSION: Overall, evidence for an elevated risk was weak. However, small numbers and wide confidence intervals preclude strong conclusions and a risk of the magnitude observed in power line studies cannot be excluded.

Radon indoors source potential from soil gas in a temperate climate: impact of infiltration rate and seismicity.

Indoor radon source potential from unground soil was monitored using prototype devices approaching a dwelling with a cellar basement at 1 depth from the soil-atmosphere interface. Therefore, the radon concentrations in soil gas were monitored at 1 m depth. Integrated radon measurements were performed, and the results correlated with meteorological parameters. The influence of the difference in outdoor and device-soil temperature was considered, and the infiltration rate was calculated. The effect of the soil temperature gradient on the soil radon entry rate was evaluated. The indoor radon entry rate due to the soil gas was 7.0 ± 2.7 Bq m-3 h-1. The radon entry rate was 5.0 ± 0.8 Bq m-3 h-1 due to diffusion. In contrast, the advection-drive flow of soil gas is ranged up to ± 4.0 Bq m-3 h-1. So, the infiltration rate of the model dwelling was 0.7 (± 0.5) × 10-1 h-1 if only the stack effect occurred. The radon levels in tap water were measured, and the radon entry rate was estimated at 1.3 ± 0.7 Bq m-3 h-1. If the ventilation rate is low or seismic faulting appears, the soil radon entry is increased by one order of magnitude. The soil radon appeared like the building materials, having 1/3 of the total indoor radon entry, while outdoor air was slightly lower (28%), with tap water at 5%. The resident's mortality risk occurred at < 2.5% for typical dwellings in temperate climate areas founded on sand-gravel underground. The risk rises to 34% with an extremely low ventilation rate between indoors and outdoors or high radon entry from the soil due to seismic faulting.

Housing Status Changes Are Associated With Cancer Outcomes Among US Veterans.

Cancer is a leading cause of death in older unhoused adults. We assessed whether being unhoused, gaining housing, or losing housing in the year after cancer diagnosis is associated with poorer survival compared with being continuously housed. We examined all-cause survival in more than 100,000 veterans diagnosed with lung, colorectal, and breast cancer during the period 2011-20. Five percent were unhoused at the time of diagnosis, of whom 21 percent gained housing over the next year; 1 percent of veterans housed at the time of diagnosis lost housing. Continuously unhoused veterans and veterans who lost their housing had poorer survival after lung and colorectal cancer diagnosis compared with those who were continuously housed. There was no survival difference between veterans who gained housing after diagnosis and veterans who were continuously housed. These findings support policies to prevent and end homelessness in people after cancer diagnosis, to improve health outcomes.

Mortal Systemic Exclusion Yielded Steep Mortality-Rate Increases In People Experiencing Homelessness, 2011-20.

The number and percentage of people in the US dying while homeless has increased in recent years. However, information about the causes of death most prevalent among this population, and about how cause-specific mortality rates may be shifting over time, has been limited to locally specific data. Using a unique data set of 22,143 homeless decedents in twenty-two localities across ten states and Washington, D.C., from the period 2011-20, we found large increases in all-cause and cause-specific homeless mortality rates. The largest increases in cause-specific homeless mortality rates in the ten-year period were for deaths related to drug and alcohol overdose, diabetes, infection, cancer, homicide, and traffic injury. We discuss implications of these results and posit that people experiencing homelessness are systematically excluded from the life-affirming institutions of housing and health care, in an example of mortal systemic exclusion. The findings have important implications for existing local and federal policy approaches to homelessness.

Cancer care and treatment during homelessness.

People experiencing homelessness have not yet benefited from the substantial progress made in managing cancers, including advances in chemotherapy and radiotherapy, surgical interventions, multidisciplinary team approaches, and integrated cancer care models. People experiencing homelessness are at higher risks of developing cancers and their mortality due to cancer is twice that of the general population. Potential interventions to improve access to cancer treatment include alliances and active engagement with community organisations and shelters, cancer case management and peer-to-peer support, mHealth and navigation strategies, tailored hospital discharge to adult group homes, well equipped subacute rehabilitation centres, and specialised shelters and respite housing to assure appropriate follow-up care. Other interventions include improving preventive care, expanding data, targeted policy efforts, and broader housing advocacy. In this Personal View, I discuss challenges and opportunities in cancer treatment, with a review of the current evidence on potential interventions, and highlight strategies to improve access to cancer care for homeless populations.

Cancer risk factors and access to cancer prevention services for people experiencing homelessness.

Cancer is one of the most pressing global health issues, and populations with complex needs, such as people experiencing homelessness, have higher cancer incidence and mortality rates compared with the housed population. We mapped the evidence on cancer risk factors as well as barriers and facilitators to cancer prevention services among people experiencing homelessness, which is key to localising research gaps and identifying strategies for tailored interventions adapted to people experiencing homelessness. The results of 40 studies contribute to an understanding of the dynamic, interactive factors at different levels that determine access to cancer prevention services: socioeconomic, psychological, and physical factors (individual level); practical support and relational loops between health-care providers and people experiencing homelessness (interpersonal level); housing and regular medical care (system level); and interventions to facilitate access to cancer prevention (policy level). Furthermore, studies reported higher prevalence of various cancer-associated risk factors among people experiencing homelessness with the most common being tobacco use, ranging from 26% to 73%. The results show the importance of interventions to facilitate cancer prevention services through social support and low-threshold interventions (eg, navigation programmes), and training health-care staff in creating supportive and trusting environments that increase the likelihood of the continuity of care among people experiencing homelessness.

Rural communities experience higher radon exposure versus urban areas, potentially due to drilled groundwater well annuli acting as unintended radon gas migration conduits.

Repetitive, long-term inhalation of radioactive radon gas is one of the leading causes of lung cancer, with exposure differences being a function of geographic location, built environment, personal demographics, activity patterns, and decision-making. Here, we examine radon exposure disparities across the urban-to-rural landscape, based on 42,051 Canadian residential properties in 2034 distinct communities. People living in rural, lower population density communities experience as much as 31.2% greater average residential radon levels relative to urban equivalents, equating to an additional 26.7 Bq/m3 excess in geometric mean indoor air radon, and an additional 1 mSv/year in excess alpha radiation exposure dose rate to the lungs for occupants. Pairwise and multivariate analyses indicate that community-based radon exposure disparities are, in part, explained by increased prevalence of larger floorplan bungalows in rural areas, but that a majority of the effect is attributed to proximity to, but not water use from, drilled groundwater wells. We propose that unintended radon gas migration in the annulus of drilled groundwater wells provides radon migration pathways from the deeper subsurface into near-surface materials. Our findings highlight a previously under-appreciated determinant of radon-induced lung cancer risk, and support a need for targeted radon testing and reduction in rural communities.

Dust phase and window film phase phthalates in dormitories: profile characteristics, source screening, and estimated gas-phase concentration and dermal exposure comparison.

Recently, phthalate exposure has become a major public health concern. However, gaps still remain in our understanding of phthalate profile characteristics, source screening, and gas-phase estimation. This study measured phthalate concentrations in dust and window films in 101 dormitories at 13 universities in Beijing, China, from October to December 2019. Based on the phthalate concentrations in the dust and window films, we estimated the gas-phase phthalate concentrations using steady-state and instantaneous equilibrium models, respectively, and male and female students' dermal exposure using the Monte Carlo simulation. Commonly used materials and supplies were screened for phthalate sources and evaluated using the positive matrix factorization (PMF) model. The results showed that the detection frequency of ten phthalates ranged from 79.2 to 100% in dust and from 84.2 to 100% in window films. Dicyclohexyl phthalate (DCHP), di-(2-ethylhexyl) phthalate (DEHP), and dibutyl phthalate (DBP) were the most abundant phthalates in both indoor media and were also predominant in the indoor materials and supplies. The PMF results indicated that the potential sources of phthalates in dust and window films had both similarities and differences. Indoor door seals, paint, coatings, cables, air-conditioning rubber cable ties, wallpaper, and window seals were highly probable sources of phthalates. The gas-phase phthalate concentrations estimated using the two methods differed, especially for phthalates with high octanol-air partition coefficients (Koa), varying by 1-2 orders of magnitude. Moreover, compared with related studies, the gas-phase concentrations were significantly underestimated for phthalates with high Koa values, while the estimated gas-phase concentrations of phthalates with low Koa values were closer to the measured values. The estimated dermal exposure using the two methodologies also considerably differed. Such findings suggest that more attention should be focused on the exposure risk from the dust phase and window film phase phthalates.