Heat waves can be lethal and routinely prompt public warnings about the dangers of heat. With climate change, extreme heat events will become more frequent and intense. However, little is known about public awareness of heat warnings or behaviors during hot weather. Awareness of heat warnings, prevention behaviors, and air conditioning (AC) prevalence and use in New York City were assessed using quantitative and qualitative methods. A random sample telephone survey was conducted in September 2011 among 719 adults and follow-up focus groups were held in winter 2012 among seniors and potential senior caregivers. During summer 2011, 79 % of adults heard or saw a heat warning. Of the 24 % who were seniors or in fair or poor health, 34 % did not own AC or never/rarely used it on hot days. Of this subgroup, 30 % were unaware of warnings, and 49 % stay home during hot weather. Reasons for not using AC during hot weather include disliking AC (29 %), not feeling hot (19 %), and a preference for fans (18 %). Seniors in the focus groups did not perceive themselves to be at risk, and often did not identify AC as an important health protection strategy. While heat warnings are received by most New Yorkers, AC cost, risk perception problems, and a preference for staying home leave many at risk during heat waves. Improving AC access and risk communications will help better protect the most vulnerable during heat waves.
Heat waves kill more Americans, on average, each year than any other extreme weather event, and ambient heat causes more deaths than any other natural hazard, with the exception of cold weather.
Furthermore, the NYC Panel on Climate Change projects that summers will be hotter and the number and intensity of heat waves will continue to increase.
Public messaging and the activation of emergency response plans are triggered by heat advisories, watches, and warnings released by the National Weather Service when the maximum heat index is forecast to reach 100 °F for any period of time, or 95 °F for at least two consecutive days.
During heat emergencies, NYC’s Office of Emergency Management coordinates a multi-agency response that incorporates widely recommended best practices for protecting health during extreme heat events.
Despite these extensive heat-illness prevention efforts, little is known about whether at-risk populations and their social contacts are aware of heat warnings or take effective steps to protect their health during periods of extreme heat. Some evidence from other localities indicates that vulnerable groups may not be receiving necessary heat information, and that awareness of extreme heat warnings is not always coupled with an understanding of heat-health risk factors and behavior change.
To inform improvements in heat risk communications and other public health measures, we conducted quantitative and qualitative studies about heat-health awareness and behaviors. First, a telephone survey of a probability sample of NYC adults was administered to examine AC access, heat-illness prevention behaviors, and awareness of heat-health warnings. Next, we convened focus groups to elicit qualitative information about heat-health knowledge and behaviors among seniors, who are among the most vulnerable to heat illness and death, and potential senior caregivers.
In collaboration with Baruch College Survey Research, DOHMH developed a 15-question telephone survey, which was conducted from 20 to 25 September 2011 in English or Spanish among 719 adults aged 18+ living in NYC. The survey followed a severe July 2011 heat wave where heat indices reached 115 °F.
Respondents were selected through a combination of landline and cell phone random digit dialing. The landline sample was based on a random digit dial design, and respondents were selected randomly within the household. Cell phone users were sampled using a mobile number database that contains all possible numbers in 100 blocks dedicated to wireless service and 100 blocks providing shared services but with no directory-listed telephone.
Data were weighted to 2009 US Census American Community Survey age, sex, race, Hispanic ethnicity, and borough data for NYC adults. The estimated margin of error was ±3.7 percentage points for the full sample. Analyses were conducted using SUDAAN 10.0.1 software.
The 15 questions were close-ended and, when appropriate, respondents were asked to select the “most important” response from a list of options. Adults with high heat-health risk were defined as those who were either aged ≥65 years or were younger adults reporting “poor” or “fair” health. Self-reported poor or fair health has been shown to consistently predict mortality and, among respondents to the NYC Community Health Survey, has been associated with conditions that increase susceptibility to heat illness, including diabetes, obesity, and high blood pressure [
In winter 2012, DOHMH, in collaboration with Global Strategy Group, a research and strategic communications firm, convened focus groups among (1) seniors aged ≥65 and (2) younger adults aged 18–64 who reported having a senior friend, relative, or neighbor living in NYC (“i.e., potential helpers” or caregivers). Each type of group was conducted in English and Spanish. The four groups had a total of 38 participants, with 9–10 participants per group. Each discussion lasted approximately 1.5 h. The groups were audiotaped, transcribed, and evaluated qualitatively.
Participants were selected to represent a mix of race/ethnicities and genders. Participants in the “potential helpers” groups were required to have at least one senior in their social network, and at least half were recruited from zip codes that fall within District Public Health Offices’ (DPHO) catchment areas, which are lower-income neighborhoods in Brooklyn, the Bronx, and Manhattan that DOHMH has identified as having elevated rates of disease.
Senior focus group discussions covered knowledge of heat-health risks, the rationales for heat-health behaviors during hot weather, and barriers or enablers to protection. Participants were also asked to respond to heat-health education materials published by NYC and other municipal agencies, as well as to local TV news clips about extreme heat from summer 2011. DOHMH reviewed online television clips from English and Spanish news outlets and qualitatively selected relatively good examples (i.e., that conveyed some information about health risks and protective actions) for viewing. The “potential helpers” discussions covered similar topics, and also focused on attitudes and behaviors related to helping others during heat waves. The survey and focus groups were reviewed by the NYC DOHMH Institutional Review Board and were determined to be exempt research.
The survey cooperation rate (defined according to the American Association for Public Opinion Research Cooperation Rate 3 criteria) was 58 %.
Demographic characteristics corresponded to characteristics in 2010 Census data for adult New Yorkers, although fewer Asians were sampled in our survey (9 vs. 13 % in the 2010 census, Characteristics of survey respondents Missing data not included in percentages. Percentages may not sum to 100 % due to roundingUnweighted ( Weighted (%) Total 719 100 Sex Male 266 46 Age 18–29 139 23 30–49 214 39 50–64 169 22 65+ 186 16 Missing/refused 11 Race/ethnicity White non-Hispanic 318 39 Black non-Hispanic 142 21 Hispanic 155 26 Asian/PI non-Hispanic 48 9 Other non-Hispanic 30 4 Missing/refused 26 Household income <$30,000 191 33 $30,000 to <$50,000 114 22 $50,000 to <$100,000 140 25 ≥100,000 103 20 Missing/refused 171 Aware of heat warning 552 79 General health status Excellent/very good/good 588 85 Fair/poor 125 15 Missing/refused 6 Health risk status High (age 65+ or fair/poor health) 243 24 AC status No functioning AC 82 11 Used never or <half time 104 14 Used half the time or more 529 75 Missing/refused 4 Exposure risk status High 186 25 Most vulnerable High health and exposure risk 86 8
Respondents in this most vulnerable group had significantly lower household incomes compared to those with lower vulnerability, with 82 % reporting a household income <$30,000 ( Frequency of high heat-exposurea risk by demographic characteristics among survey respondents
aRespondents reported never having AC, or using AC either “never” or “less than half the time”
bProportion with high exposure significantly different among subgroups (High-exposure risk weighted % (95 % CI) Total (unweighted, 25 (22, 28) Sex Male 27 (22, 33) Female 22 (19, 27) Ageb
18–29 22 (15, 30) 30–49 16 (12, 22) 50–64 31 (25, 39) 65+ 40 (33, 47) Household incomeb
<$30,000 42 (34, 49) ≥$30,000 18 (14, 23) Health risk statusb
High 34 (28, 41) Low 22 (18, 26)
In 2011, 11 % did not have AC, and about 15 % of adults who owned AC used it “less than half the time” or “never” during very hot weather. The most frequently cited barriers to AC ownership among those at high risk of heat illness were cost (54 %), the perception that AC was not needed (28 %), and a dislike of AC (16 %). A dislike of AC was a frequently cited reason (29 %) among those who do not use AC during very hot weather; another 18 % volunteered that they prefer to use a fan instead (Table Reasons for not having air conditioning (AC), AC use patterns, and AC-seeking behavior during hot weather among subset of most vulnerablea (unweighted,
aSurvey respondents who reported not having AC, or using AC either “never” or “less than half the time” and were either aged ≥65 years or reported “poor” or “fair” health status
bEstimate has a relative standard error (a measure of precision) above 30 % or sample size ≤50, making the estimate potentially unreliable. Estimate should be interpreted with cautionWeighted % (95 % CI) No ACb (unweighted, Can’t afford AC 54 (37, 69) Don’t need AC 28 (16, 45) Don’t like AC 16 (8, 30) Building wiring not equipped 2 (0, 12) Never/infrequent AC useb (unweighted, Don’t like AC 29 (16, 46) Did not feel hot 19 (9, 36) Want to conserve energy 18 (8, 36) Prefer fan (volunteered only) 18 (8, 36) Concerned about electric bill 12 (5, 26) Went somewhere else to get cool 4 (1, 24) Behavior during very hot weather (unweighted, Stay home even though you’re hot 49 (38, 60) Otherb
26 (18, 37) Community center, library, or other public placeb
10 (5, 20) Place of businessb
8 (4, 17) Someone else’s homeb
6 (2, 16) Reasons for staying homeb (unweighted, Prefer to stay home 72 (56, 83) Don’t feel safe leaving home 11 (5, 25) Health makes it hard to leave home 7 (2, 19) Don’t know where to go 6 (2, 22) Don’t want to leave a pet 4 (1, 16) Don’t have transport 0
Among the most vulnerable group (high heat-health risk and high heat-exposure risk), 49 % reported staying home during very hot weather even if they could not stay cool there (Table
Among the entire sample, 79 % recalled that they heard or saw a heat warning during summer 2011. Those in the most vulnerable category were somewhat less likely to recall that they heard or seen a heat warning than those who are less vulnerable (70 vs. 80 % ( Heat warning awareness by demographic characteristics among survey respondents
aProportion aware of warning significantly different among subgroups (p<0.05)
bRespondents aged ≥65 years or younger adults reporting “poor” or “fair” health
cRespondents who reported not having AC, or using AC either “never” or “less than half the time” during very hot weather
dRespondents who are aged ≥65 years or younger adults reporting “poor” or “fair” health AND reported not having AC, or using AC either “never” or “less than half the time” during very hot weatherCharacteristic Weighted % aware of warning (95 % CI) Total (unweighted, 79 (76, 82) Sex Male 76 (71, 81) Female 82 (78, 85) Agea
18–29 76 (68, 82) 30–49 80 (74, 85) 50–64 85 (79, 90) 65+ 75 (67, 81) Household income <$30,000 82 (75, 87) ≥$30,000 82 (77, 86) Health riskb
High 79 (73, 84) Low 79 (75, 83) Exposure riskc
High 77 (69, 83) Low 80 (76, 84) Vulnerability statusd
High 70 (58, 79) Low 80 (77, 83)
Approximately two thirds of senior participants rated their health as good or very good. Potential caregivers reported numerous types of relationships with seniors, including friend, grandparent, and parent. Interactions with seniors included social visits, running errands, and meal preparation. Several themes emerged during the groups, which are summarized below.
Gaps in risk perception were evident among both caregivers and seniors. Although most seniors knew heat could be dangerous to health and understood age is a risk factor for heat illness, they did not believe that heat was a major risk to their own health (i.e., it was dangerous to
Although most seniors (79 %) reported having AC, the majority reported using AC either never or less than half the time during hot weather. Some noted that they typically do not use AC but will use it when they are uncomfortable. Reasons for not using AC included not liking the feel, the cost of electricity, and energy conservation. Several seniors noted that they preferred using a fan over AC. Some believed AC could exacerbate health problems like arthritis and asthma. Seniors also reported that individuals may not actually feel hot during extreme heat, while others said they were “used” to the heat or that it was not as hot in NYC as in tropical locations: “
Even those who were not regularly using AC often took some protective steps during hot weather such as drinking water, wearing light clothing, and going to a cooler place. Many fan users reported incorrectly using fans in rooms with closed windows during hot weather. Some thought that advice to use fans with open windows was not correct.
The majority of seniors were aware of cooling centers. Some had visited cooling centers and reported receiving heat-health information and having positive experiences. Others reported that they, or other seniors in their lives, did not visit cooling centers because of a preference to stay at home, a lack of interest in socializing, or not wanting to be around “old people.” Many participants in all groups reported that they check on vulnerable contacts or knew of outreach from service organizations to homebound or vulnerable people during heat events.
Participants did not identify AC use as an important preventive measure after viewing local news clips about extreme heat. Participants also noticed a discrepancy between TV voiceovers and images, which tended to depict children and younger adults in outdoor environments, rather than seniors and potentially dangerous indoor locations. Local TV health/medical correspondents and meteorologists, doctors, and the health department were considered trustworthy sources of heat-health information.
Penetration of heat warnings was generally high among New Yorkers, however, awareness among the “most vulnerable” group was lower. Furthermore, nearly half of the most vulnerable group reported staying home during hot weather, where indoor temperature can be higher than outdoors during hot weather in the absence of AC.
Misconceptions about the benefits of electric fans may also impact risk perception. Retrospective observational studies in the USA have found no protective effect of electric fans during extreme heat.
Vulnerable people may have other reasons for staying home besides risk perception. While only a minority of NYC respondents cited health and safety concerns as reasons for staying home during hot weather, fears of crime or feeling that a neighborhood was unsafe were also reasons why residents stayed in unsafe home environments during the deadly 1995 Chicago heat wave.
Studies in other areas have reported mixed findings about the relationship between warning awareness and behavior change.
The proportion of New Yorkers without AC (11 %) was consistent with estimates from the 2007 NYC Community Health Survey (13 %) and with findings of a multicity phone survey of residents aged ≥65 in Philadelphia, Phoenix, Toronto, and Dayton, Ohio.
Findings from the survey and focus groups suggest that helping the public to understand and evaluate their own risk needs to be a component of heat-health programs, in addition to increasing access to home AC for the most vulnerable and making cooling centers accessible. Promoting “checking in” on vulnerable friends, family members, and neighbors during heat waves could encourage at-risk individuals to use AC and take other protective measures. NYC officials regularly urge the public to check on others during heat emergencies, but the frequency of this behavior had never been assessed. The survey indicated that 54 % of people check on others, a figure that can be used as a baseline to inform efforts to encourage “buddy systems.” While encouraging, more work is needed to target and evaluate the efficacy of this strategy for heat illness prevention.
There are several potential limits to our analyses. Closed-ended survey questions may miss information not included as a response option or obscure nuanced and multiple reasons for responses. Respondents may also interpret questions differently. For instance, rather than specifying a temperature to define “very hot weather,” respondents were allowed to answer based on their own perceptions of uncomfortable heat, since there is no single “safe” threshold. In addition, response categories for frequency of AC use at home during very hot weather were along a scale of “always,” “most of the time,” “half the time,” “less than half the time” and “never.” The “less than half the time” response likely includes levels of AC use that is inadequate to protect health and some levels of use that may be protective. The survey sample size was sufficiently large to estimate prevalences, but was too small to test for statistical differences in prevalence between subgroups in some cases.
No questions were asked about specific health conditions that are known to increase heat susceptibility, such as diabetes or cardiovascular disease. Poor self-rated health has been associated with an increased risk of mortality in many studies, even controlling for covariates such as age and comorbidities,
Focus groups provided qualitative information about the knowledge, attitudes, and behaviors of a small group of people, and responses are not meant to be representative samples of seniors and potential caregivers in NYC. Senior participants were relatively mobile and able to attend early evening focus groups. However, seniors in relatively good health today may experience declining health in the future, and can still provide a source of insight into heat-health attitudes and behaviors useful in shaping programs. Finally, a systematic analysis of all heat-related media from the summer of 2011 was not performed.
On average, heat waves are the most lethal extreme weather event in the USA.
More effective communication and educational efforts are needed to reach heat-vulnerable populations and help motivate effective protective behaviors. More research is needed to understand which risk communications methods and programs are most effective in motivating people to engage in protective behaviors, including use of AC and utilization of cooling centers. In the meantime, heat-health risk communication should emphasize that extreme heat can be deadly, hot indoor environments are dangerous during extreme heat, and that AC is a life-saving intervention for people who are vulnerable to heat illness. Closer collaboration between public health agencies and meteorologists and others in broadcast media should be explored to help ensure clear and accurate risk communication and amplify the reach and effect of public health messages.
Access to AC was also lower among those with low household income. Increasing access to AC in the home—for example, assistance with purchasing and operating costs—and enlisting members of the general public to check on heat-vulnerable social contacts, including informing them of effective ways to protect themselves and actively assisting them in staying cool, will also likely be important strategies to avert illness and death during heat waves, now, and in the future.
We gratefully thank Jesica Rodriguez-Lopez, MPH; Carla Toro, MS, MPH; Sarah Walters, MPH; and the Global Strategy Group, as well as other NYC DOHMH colleagues who have contributed to the project and the CDC’s Climate-Ready Cities and States Initiative.
This work was supported by Centers for Disease Control and Prevention (CDC) grant #1UE1EH000757-01 and by City of New York tax levy funds.