Energy Insecurity Indicators Associated With Increased Odds Of Respiratory, Mental Health, And Cardiovascular Conditions
Energy insecurity, defined as the inability to meet household energy needs, has multiple economic, physical, and coping dimensions that affect health. We conducted the first citywide representative survey of energy insecurity and health in a sample of 1,950 New York City residents in 2022. We compiled ten indicators that characterize energy insecurity as experienced in New York City housing settings and then examined associations between number and types of indicators and health conditions.
Energy insecurity, defined as the inability to meet household energy needs, has multiple economic, physical, and coping dimensions that affect health. We conducted the first citywide representative survey of energy insecurity and health in a sample of 1,950 New York City residents in 2022. We compiled ten indicators that characterize energy insecurity as experienced in New York City housing settings and then examined associations between number and types of indicators and health conditions. Nearly 30 percent of residents experienced three or more indicators, with significantly higher levels among Black non-Latino/a and Latino/a residents compared with White non-Latino/a residents, renters compared with owners, recent immigrants compared with those living in the United States for longer, and those in households with children compared with those with no children. Residents with three or more indicators of energy insecurity had higher odds of respiratory, mental health, and cardiovascular conditions and electric medical device dependence than residents with no indicators. Our study demonstrates that broadening the understanding of energy insecurity with context-specific metrics can help guide interventions and policies that address disparities relevant to health and energy equity.
Energy Insecurity Mitigation: The Low Income Home Energy Assistance Program and Other Low-Income Relief Programs in the US
Energy insecurity, defined as the “inability to meet basic household energy needs,”[1] can be both a chronic and an acute problem.[2] Chronic energy insecurity manifests as an inability to access or afford adequate supplies of energy, while acute energy insecurity arises when infrastructural, maintenance, environmental, or other external sources disrupt or impede access to energy.[3] A substantial number of individuals and families across the United States experience energy insecurity, which can lead to a variety of adverse consequences including residential instability and poor health outcomes.[4]
Energy insecurity, defined as the “inability to meet basic household energy needs,”[1] can be both a chronic and an acute problem.[2] Chronic energy insecurity manifests as an inability to access or afford adequate supplies of energy, while acute energy insecurity arises when infrastructural, maintenance, environmental, or other external sources disrupt or impede access to energy.[3] A substantial number of individuals and families across the United States experience energy insecurity, which can lead to a variety of adverse consequences including residential instability and poor health outcomes.[4]
Visualizing the Spatial Distribution of Energy Insecurity in the United States
Prior to 2020, little was known about how energy insecurity varies across U.S. states. The recent release of energy insecurity data from the Energy Information Administration facilitates the exploration of energy insecurity at the state level using the Residential Energy Consumption Survey. In this visualization, the authors use choropleth maps to show spatial variation in (1) forgoing basic necessities such as food or medicine to pay an energy bill and (2) keeping the home at an unhealthy temperature. Both are strategies used by households to prevent energy insecurity. The visualization highlights the state-level prevalence of each indicator.
Prior to 2020, little was known about how energy insecurity varies across U.S. states. The recent release of energy insecurity data from the Energy Information Administration facilitates the exploration of energy insecurity at the state level using the Residential Energy Consumption Survey. In this visualization, the authors use choropleth maps to show spatial variation in (1) forgoing basic necessities such as food or medicine to pay an energy bill and (2) keeping the home at an unhealthy temperature. Both are strategies used by households to prevent energy insecurity. The visualization highlights the state-level prevalence of each indicator.
Vigilant conservation: How energy insecure households navigate cumulative and administrative burdens
Energy insecurity research has described the prevalence and circumstances of household energy unaffordability, as well as its impacts on health. Previous studies have also noted coping strategies that result from energy insecurity. In 2020, we conducted in-depth interviews with 30 participant households enrolled in one or more energy assistance programs in Washington D·C. Participants were asked about housing conditions, approaches to energy consumption and cost-reduction strategies, experiences acquiring energy assistance services, and environmental concerns. Qualitative analysis revealed the underpinnings of "vigilant conservation," which characterizes how individuals experience energy insecurity and navigate energy assistance services.
Energy insecurity research has described the prevalence and circumstances of household energy unaffordability, as well as its impacts on health. Previous studies have also noted coping strategies that result from energy insecurity. In 2020, we conducted in-depth interviews with 30 participant households enrolled in one or more energy assistance programs in Washington D·C. Participants were asked about housing conditions, approaches to energy consumption and cost-reduction strategies, experiences acquiring energy assistance services, and environmental concerns. Qualitative analysis revealed the underpinnings of "vigilant conservation," which characterizes how individuals experience energy insecurity and navigate energy assistance services.
Energy Insecurity And Health: America’s Hidden Hardship
Energy insecurity can have important implications for health and health equity. Many long-standing programs to address energy insecurity need to be refreshed in light of climate change, the recognition of unacceptable disparities, and the impending transition to clean energy.
Extreme Heat and COVID-19 in New York City: An Evaluation of a Large Air Conditioner Distribution Program to Address Compounded Public Health Risks in Summer 2020
In summer 2020, New York City (NYC) implemented a free air conditioner (AC) distribution program in response to the threats of extreme heat and COVID-19. The program distributed and installed ACs in the homes of nearly 73,000 older, low-income residents of public and private housing. To evaluate the program’s impact, survey data were collected from October 2020 to February 2021 via mail and online from 1447 program participants and 902 non-participating low-income NYC adults without AC as a comparison group. Data were examined by calculating frequencies, proportions, and logistic regression models.
In summer 2020, New York City (NYC) implemented a free air conditioner (AC) distribution program in response to the threats of extreme heat and COVID-19. The program distributed and installed ACs in the homes of nearly 73,000 older, low-income residents of public and private housing. To evaluate the program’s impact, survey data were collected from October 2020 to February 2021 via mail and online from 1447 program participants and 902 non-participating low-income NYC adults without AC as a comparison group. Data were examined by calculating frequencies, proportions, and logistic regression models. Participants were 3 times more likely to report staying home during hot weather in summer 2020 compared to non-participants (adjusted odds ratio [AOR] = 3.0, 95% confidence interval [CI] = 2.2, 4.1), with no difference between groups in summer 2019 (AOR = 1.0, CI = 0.8, 1.3). Participants were less likely to report that 2020 hot weather made them feel sick in their homes compared to non-participants (AOR = 0.2, CI = 0.2, 0.3). The program helped participants—low-income residents and primarily people of color—stay home safely during hot weather. These results are relevant for climate change health-adaptation efforts and heat-health interventions.