Perceptions of Weather Risks and Climate Beliefs Among the Hong Kong General Public
Climate Change Beliefs, Perceived Risk of Heat Stress and Responses to Heat Health Warnings Among the General Public of Hong Kong: a Mixed-methods Study
Background: Local abnormal heat events may be used as proxies for communicating the health impacts of climate change when people physically feel the effects to reduce the psychological distance of climate change and improve public engagement with climate and weather risk. However, there are concerns that this strategy may be more effective for climate believers, and that it may somewhat compromise the scientific precision because it may lead to erroneous beliefs that climate change is merely characterized by temperature rises or extreme heat but ignore other extreme weather events such as flood and extreme cold, and that cold spells are interpreted as evidence of no climate change. None of these potential effects and concerns has been tested.
Aims: This proposed study is aimed to explore patterns of climate beliefs and their influences on perceptions of heat-related risks and responses to heat health warnings in the general public of Hong Kong; (2) Test the preliminary effects of a revised heat health warning (RHHW) that incorporates information about the health impacts of climate change into existing heat health warning on perceived heat-related risk and climate beliefs.
Design and subjects: This will be a mix-methods study comprising in-depth qualitative interviews, a population-based cohort survey and a pilot randomized control trial (RCT). Subjects will be the general Hong Kong Chinese adults aged ≥18 years.
Main outcome measures: Latent class analysis will be conducted to examine patterns of climate beliefs while structural equation modelling to test the relationships among climate beliefs, perceived heat-related risks and behavioural responses to heat warnings. Qualitative data will be analysed using thematic content analysis while the effect of RHHW will be tested using t-test and linear regression models.
연구 개요
연구 유형
등록 (실제)
단계
- 해당 없음
연락처 및 위치
연구 장소
-
-
-
Hong Kong, 홍콩
- University of Hong Kong School of Public Health
-
-
참여기준
자격 기준
공부할 수 있는 나이
건강한 자원 봉사자를 받아들입니다
연구 대상 성별
설명
Inclusion Criteria:
- Participants should own a mobile phone and be able to read Chinese.
Exclusion Criteria:
- Participants with no mobile phone or cannot understand Chinese will be excluded.
공부 계획
연구는 어떻게 설계됩니까?
디자인 세부사항
- 주 목적: 건강 서비스 연구
- 할당: 무작위
- 중재 모델: 병렬 할당
- 마스킹: 하나의
무기와 개입
참가자 그룹 / 팔 |
개입 / 치료 |
|---|---|
|
간섭 없음: Participants receive control message
Participants only receive standard heat risk warning
|
|
|
실험적: Participants receive intervention message
Participants receive standard heat risk warning plus figures incorporating the health impacts of heat and pro-environment behaviors.
|
Eligible participants will be randomized to either a control condition to receive a standardized heat health warning or an intervention condition to receive a heat health warning plus figures depicting heat risk and pro-environment behavior via their preferred and accessible channel (WhatsApp, WeChat or the text message) each time when a Very Hot Weather Warning is issued by the Hong Kong Observatory.
|
연구는 무엇을 측정합니까?
주요 결과 측정
결과 측정 |
측정값 설명 |
기간 |
|---|---|---|
|
Emotional engagement with heat and climate change risk (emotional valence)
기간: One week after completion of all messages delivery
|
Measure participants' emotional engagement with risk of heat stress and climate change, in specific, participants will be asked to indicate how they feel about the health impacts of climate change (using a slider from -3 to 3).
Higher scores indicate more positive emotion.
|
One week after completion of all messages delivery
|
|
Emotional engagement with heat and climate change risk (discrete emotion)
기간: One week after completion of all messages delivery
|
Participants will be asked how much they feel fear/helpless/worried/disgust when thinking about health impacts of climate change (on a 7-point Likert scale).
Higher scores indicate stronger emotion arousal.
|
One week after completion of all messages delivery
|
|
Short-term effect of risk perception toward heat and climate change risk
기간: One week after completion of all messages delivery
|
Their perceived health risk toward climate change and heat stress will be measured using items derived from our baseline and follow-up surveys (likelihood, severity and perceived worry will be used to gauge participants' risk perception).
All measures on a 5-point likert scale with higher scores indicating greater risk perception.
|
One week after completion of all messages delivery
|
|
Long-term effect of risk perception toward heat and climate change
기간: One month after completion of all messages delivery
|
Their perceived health risk toward climate change and heat stress will be measured using items derived from our baseline and follow-up surveys (likelihood, severity and perceived worry will be used to gauge participants' risk perception).
All measures on a 5-point likert scale with higher scores indicating greater risk perception.
|
One month after completion of all messages delivery
|
2차 결과 측정
결과 측정 |
측정값 설명 |
기간 |
|---|---|---|
|
Short-term effect of self-efficacy in taking pro-environment actions
기간: One week after completion of all messages delivery
|
Perceived self-efficacy in taking actions to mitigate climate change will be measured by four items derived from previous baseline and follow-up surveys.(Items
include: 1) I can personally help to reduce climate change by changing my behavior 2) There are a variety of external factors that make it difficult for me to take actions that help to reduce climate change 3) My action to reduce the effects of climate change in my community will encourage others to reduce the effect of climate change through their own actions 4) If I want, it is easy for me to take actions to help tackle climate change).
Responses will be rated on a 5-point Likert (Strongly disagree/Disagree/Agree/Strongly agree/No opinion).
|
One week after completion of all messages delivery
|
|
Long-term effect of self-efficacy in taking pro-environment actions
기간: One month after completion of all messages delivery
|
Perceived self-efficacy in taking actions to mitigate climate change will be measured by four items derived from previous baseline and follow-up surveys.(Items
include: 1) I can personally help to reduce climate change by changing my behavior 2) There are a variety of external factors that make it difficult for me to take actions that help to reduce climate change 3) My action to reduce the effects of climate change in my community will encourage others to reduce the effect of climate change through their own actions 4) If I want, it is easy for me to take actions to help tackle climate change).
Responses will be rated on a 5-point Likert (Strongly disagree/Disagree/Agree/Strongly agree/No opinion).
|
One month after completion of all messages delivery
|
|
Short-term effect of intention in taking pro-environment actions
기간: One week after completion of all messages delivery
|
Participants will also be asked to indicate their intention to 1) reduce energy waste 2) buy energy efficient products, and 3) change some of the daily habits to help tackle climate change.
Responses will be rated on a 7-point Likert scale.
Higher scores indicate greater behavioral intention.
|
One week after completion of all messages delivery
|
|
Long-term effect of intention in taking pro-environment actions
기간: One month after completion of all messages delivery
|
Participants will also be asked to indicate their intention to 1) reduce energy waste 2) buy energy efficient products, and 3) change some of the daily habits to help tackle climate change.
Responses will be rated on a 7-point Likert scale.
Higher scores indicate greater behavioral intention.
|
One month after completion of all messages delivery
|
공동 작업자 및 조사자
연구 기록 날짜
연구 주요 날짜
연구 시작 (실제)
기본 완료 (실제)
연구 완료 (실제)
연구 등록 날짜
최초 제출
QC 기준을 충족하는 최초 제출
처음 게시됨 (실제)
연구 기록 업데이트
마지막 업데이트 게시됨 (실제)
QC 기준을 충족하는 마지막 업데이트 제출
마지막으로 확인됨
추가 정보
이 연구와 관련된 용어
기타 연구 ID 번호
- UW 19-093
개별 참가자 데이터(IPD) 계획
개별 참가자 데이터(IPD)를 공유할 계획입니까?
IPD 계획 설명
약물 및 장치 정보, 연구 문서
미국 FDA 규제 의약품 연구
미국 FDA 규제 기기 제품 연구
이 정보는 변경 없이 clinicaltrials.gov 웹사이트에서 직접 가져온 것입니다. 귀하의 연구 세부 정보를 변경, 제거 또는 업데이트하도록 요청하는 경우 register@clinicaltrials.gov. 문의하십시오. 변경 사항이 clinicaltrials.gov에 구현되는 즉시 저희 웹사이트에도 자동으로 업데이트됩니다. .