Context: Secondhand smoke exposure (SHSe) affects up to half of all children in the United States. Many studies have identified factors associated with in-home SHSe, but few have contrasted these factors between households with and without residential smokers. In the latter case, exposure occurs from only external sources that enter the home, such as visitors or environmental incursion.
Objective: Among children with SHSe at home, to examine demographic and psychosocial differences between households with and without residential smokers.
Design: Baseline analysis of an observational cohort.
Setting: Baltimore City, Maryland.
Participants: A total of 157 children with asthma, aged 5 to 12 years.
Measures: At-home airborne nicotine, caregiver-reported depression, asthma-related quality of life, functional social support, and demographics. Univariable comparisons were performed between SHS-exposed households with and without residential smokers. Multivariable logistic regression models were fit to examine associations between measured factors and absence of residential smokers.
Results: Children (78.3%) had at-home SHSe. Of these, 40.7% lived in households without residential smokers. Compared with households with residential smokers, these caregivers endorsed stronger beliefs in SHS harms and also worse functional social support and asthma-related stress, despite no differences in asthma morbidity. In adjusted models, SHS-exposed children with caregivers in the lowest tertile of functional social support (adjusted odds ratio, 3.50; 95% confidence interval, 1.12-10.99), asthma-related quality of life (2.90; 1.06-7.95), and those living alone (5.28; 1.26-22.15) had at least twice higher odds of having exclusively external SHSe than the highest tertile (P trends < .05).
Conclusions: In-home SHS exposure remains alarmingly high in urban environments. However, a substantial proportion of this exposure appears to be occurring only from external sources that enter the home. Caregivers in these homes had higher desire but lower agency to avoid SHSe, driven by lack of functional support and physical isolation. Public policies targeting these factors may help remediate exposure in this especially vulnerable population.
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http://dx.doi.org/10.1097/PHH.0000000000000790 | DOI Listing |
Waste Manag
January 2025
Shanghai Engineering Research Center of Biotransformation of Organic Solid Waste, School of Ecological and Environmental Science, East China Normal University, Shanghai 200241, PR China; Chongqing Key Laboratory of Precision Optics, Chongqing Institute of East China Normal University, Chongqing 401120, PR China. Electronic address:
Household waste is a hotspot of antibiotic resistance, which can be readily emitted to the ambient airborne inhalable particulate matters (PM) during the day-long storage in communities. Nevertheless, whether these waste-specific inhalable antibiotic resistance genes (ARGs) are associated with pathogenic bacteria or pose hazards to local residents have yet to be explored. By high-throughput metagenomic sequencing and culture-based antibiotic resistance validation, we analyzed 108 airborne PM and nearby environmental samples collected across different types of residential communities in Shanghai, the most populous city in China.
View Article and Find Full Text PDFEnviron Sci Pollut Res Int
January 2025
Department of Mechanical Engineering, Sree Chitra Thirunal College of Engineering, Pappanamcode, Thiruvananthapuram, India.
Globally, domestic refrigerators account for over 13% of the total energy consumption in residential buildings. The brazed plate water-cooled condenser (BPWCC) is compact in size and an attractive option to reduce the energy consumption of refrigerators using domestic water tanks. This study evaluated the performance of a household refrigerator with a secondary refrigerant calorimeter and BPWCC, using an appropriate experimental setup.
View Article and Find Full Text PDFMenopause
January 2025
Department of Child, Family, and Population Health Nursing, University of Washington, Seattle, WA.
Objective: This study aimed to determine whether exposure to traffic-related air pollution (TRAP) is associated with depressive symptoms while also characterizing the contribution of key explanatory factors related to sociodemographics and health. In addition, it aimed to also explore the role of reproductive health as a pathway through which exposure to TRAP may relate to depressive symptoms.
Methods: Participants were 688 healthy reproductive-age women in the Ovarian Aging Study.
J Child Psychol Psychiatry
January 2025
Epidemiology Branch, Division of Population Health Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, Bethesda, MD, USA.
Background: Neighborhood quality may contribute to child mental health, but families with young children often move, and residential instability has also been tied to adverse mental health. This study's primary goal was to disentangle the effects of neighborhood quality from those of residential instability on mental health in middle childhood.
Methods: 1,946 children from 1,652 families in the Upstate KIDS cohort from New York state, US, were followed prospectively from birth to age 10.
J Environ Manage
January 2025
Graduate School of Media and Governance, Keio University, 5322 Endo, Fujisawa City, Kanagawa Prefecture, 252-0882, Japan. Electronic address:
The adoption of residential renewable energy is pivotal for achieving the 'Net Zero' goal, yet financial assessments of household investments in this area remain complex due to dynamic market conditions. This study introduces a novel closed-form financial valuation framework for residential solar photovoltaic (PV) systems, explicitly addressing the uncertainties of electricity market price fluctuations (market risk) and energy policy changes (policy risk) using Geometric Brownian Motion (GBM). A case study in France demonstrates the framework's application, revealing that the discount rate is the most influential factor in solar PV valuation, followed by system lifespan and policy-driven Feed-in Tariff (FiT) rates.
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