このページは自動翻訳されたものであり、翻訳の正確性は保証されていません。を参照してください。 英語版 ソーステキスト用。

Perceptions of Weather Risks and Climate Beliefs Among the Hong Kong General Public

2022年5月16日 更新者:Qiuyan Liao、The University of Hong Kong

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.

調査の概要

研究の種類

介入

入学 (実際)

429

段階

  • 適用できない

連絡先と場所

このセクションには、調査を実施する担当者の連絡先の詳細と、この調査が実施されている場所に関する情報が記載されています。

研究場所

      • Hong Kong、香港
        • University of Hong Kong School of Public Health

参加基準

研究者は、適格基準と呼ばれる特定の説明に適合する人を探します。これらの基準のいくつかの例は、人の一般的な健康状態または以前の治療です。

適格基準

就学可能な年齢

18年歳以上 (大人、高齢者)

健康ボランティアの受け入れ

はい

受講資格のある性別

全て

説明

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.

研究計画

このセクションでは、研究がどのように設計され、研究が何を測定しているかなど、研究計画の詳細を提供します。

研究はどのように設計されていますか?

デザインの詳細

  • 主な目的:ヘルスサービス研究
  • 割り当て:ランダム化
  • 介入モデル:並列代入
  • マスキング:独身

武器と介入

参加者グループ / アーム
介入・治療
介入なし:Participants receive control message
Participants only receive standard heat risk warning
実験的: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.

この研究は何を測定していますか?

主要な結果の測定

結果測定
メジャーの説明
時間枠
Emotional engagement with heat and climate change risk (emotional valence)
時間枠: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)
時間枠: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
時間枠: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
時間枠: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

二次結果の測定

結果測定
メジャーの説明
時間枠
Short-term effect of self-efficacy in taking pro-environment actions
時間枠: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
時間枠: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
時間枠: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
時間枠: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

協力者と研究者

ここでは、この調査に関係する人々や組織を見つけることができます。

スポンサー

研究記録日

これらの日付は、ClinicalTrials.gov への研究記録と要約結果の提出の進捗状況を追跡します。研究記録と報告された結果は、国立医学図書館 (NLM) によって審査され、公開 Web サイトに掲載される前に、特定の品質管理基準を満たしていることが確認されます。

主要日程の研究

研究開始 (実際)

2020年7月28日

一次修了 (実際)

2021年8月30日

研究の完了 (実際)

2021年8月30日

試験登録日

最初に提出

2021年5月28日

QC基準を満たした最初の提出物

2021年6月7日

最初の投稿 (実際)

2021年6月9日

学習記録の更新

投稿された最後の更新 (実際)

2022年5月19日

QC基準を満たした最後の更新が送信されました

2022年5月16日

最終確認日

2022年5月1日

詳しくは

本研究に関する用語

その他の研究ID番号

  • UW 19-093

個々の参加者データ (IPD) の計画

個々の参加者データ (IPD) を共有する予定はありますか?

未定

IPD プランの説明

Derived data supporting the findings of this study are available from the corresponding author on reasonable request.

医薬品およびデバイス情報、研究文書

米国FDA規制医薬品の研究

いいえ

米国FDA規制機器製品の研究

いいえ

この情報は、Web サイト clinicaltrials.gov から変更なしで直接取得したものです。研究の詳細を変更、削除、または更新するリクエストがある場合は、register@clinicaltrials.gov。 までご連絡ください。 clinicaltrials.gov に変更が加えられるとすぐに、ウェブサイトでも自動的に更新されます。

購読する