Criteria for assessment of risk of bias. This file contains the tool used to assess the risk of bias for the studies included in the review. The tool was adapted from the Scottish Intercollegiate Guidelines Network (SIGN) critical appraisal methodology checklist for cohort studies, and supplemented by relevant items from the Cochrane Collaborationâs Risk of Bias tool. (DOCX 41 kb

Donatella DâAntoni (4456306)

John Weinman (2620207)

Louise Smith (58823)

Vivian Auyeung (3435716)

Environmental Health

Background: Although evidence shows that poor air quality can harm human health, we have a limited understanding
about the behavioural impact of air quality forecasts. Our aim was to understand to what extent air quality warning
systems influence protective behaviours in the general public, and to identify the demographic and psychosocial factors
associated with adherence and non-adherence to the health advice accompanying these warnings.
Method: In August 2016 literature was systematically reviewed to find studies assessing intended or actual adherence to
health advice accompanying air quality warning systems, and encouraging people to reduce exposure to air pollution.
Predictors of adherence to the health advice and/or self-reported reasons for adherence or non-adherence were also
systematically reviewed. Studies were included only if they involved participants who were using or were aware of these
warning systems. Studies investigating only protective behaviours due to subjective perception of bad air quality alone
were excluded. The results were narratively synthesised and discussed within the COM-B theoretical framework.
Results: Twenty-one studies were included in the review: seventeen investigated actual adherence; three investigated
intended adherence; one assessed both. Actual adherence to the advice to reduce or reschedule outdoor activities
during poor air quality episodes ranged from 9.7% to 57% (Median = 31%), whereas adherence to a wider range of
protective behaviours (e.g. avoiding busy roads, taking preventative medication) ranged from 17.7% to 98.1%
(Median = 46%). Demographic factors did not consistently predict adherence. However, several psychosocial
facilitators of adherence were identified. These include knowledge on where to check air quality indices, beliefs
that one’s symptoms were due to air pollution, perceived severity of air pollution, and receiving advice from health care
professionals. Barriers to adherence included: lack of understanding of the indices, being exposed to health messages that
reduced both concern about air pollution and perceived susceptibility, as well as perceived lack of self-efficacy/locus of
control, reliance on sensory cues and lack of time.
Conclusion: We found frequent suboptimal adherence rates to health advice accompanying air quality alerts.
Several psychosocial facilitators and barriers of adherence were identified. To maximise their health effects,
health advice needs to target these specific psychosocial factors

D'Antoni, D

Smith, L

Auyeung, V

Weinman, J

Queen Mary Research Online

English

Psychosocial and demographic predictors of adherence and non-adherence to health advice accompanying air quality warning systems: a systematic review

Background: Although evidence shows that poor air quality can harm human health, we have a limited understanding about the behavioural impact of air quality forecasts. Our aim was to understand to what extent air quality warning systems influence protective behaviours in the general public, and to identify the demographic and psychosocial factors associated with adherence and non-adherence to the health advice accompanying these warnings. Method: In August 2016 literature was systematically reviewed to find studies assessing intended or actual adherence to health advice accompanying air quality warning systems, and encouraging people to reduce exposure to air pollution. Predictors of adherence to the health advice and/or self-reported reasons for adherence or non-adherence were also systematically reviewed. Studies were included only if they involved participants who were using or were aware of these warning systems. Studies investigating only protective behaviours due to subjective perception of bad air quality alone were excluded. The results were narratively synthesised and discussed within the COM-B theoretical framework. Results: Twenty-one studies were included in the review: seventeen investigated actual adherence; three investigated intended adherence; one assessed both. Actual adherence to the advice to reduce or reschedule outdoor activities during poor air quality episodes ranged from 9.7% to 57% (Median = 31%), whereas adherence to a wider range of protective behaviours (e.g. avoiding busy roads, taking preventative medication) ranged from 17.7% to 98.1% (Median = 46%). Demographic factors did not consistently predict adherence. However, several psychosocial facilitators of adherence were identified. These include knowledge on where to check air quality indices, beliefs that one's symptoms were due to air pollution, perceived severity of air pollution, and receiving advice from health care professionals. Barriers to adherence included: lack of understanding of the indices, being exposed to health messages that reduced both concern about air pollution and perceived susceptibility, as well as perceived lack of self-efficacy/locus of control, reliance on sensory cues and lack of time. Conclusion: We found frequent suboptimal adherence rates to health advice accompanying air quality alerts. Several psychosocial facilitators and barriers of adherence were identified. To maximise their health effects, health advice needs to target these specific psychosocial factors.</p

D'Antoni, Donatella

Smith, Louise

Auyeung, Vivian

Weinman, John

King's Research Portal

Psychosocial and demographic predictors of adherence and non-adherence to health advice accompanying air quality warning systems:A systematic review

FigShare

Additional file 2: of Psychosocial and demographic predictors of adherence and non-adherence to health advice accompanying air quality warning systems: a systematic review

Electronic Library Belinsky

Правда коммунизма. 1973. № 042

Donatella D’Antoni

Louise Smith

Vivian Auyeung

John Weinman

Crossref

Abstract Background Although evidence shows that poor air quality can harm human health, we have a limited understanding about the behavioural impact of air quality forecasts. Our aim was to understand to what extent air quality warning systems influence protective behaviours in the general public, and to identify the demographic and psychosocial factors associated with adherence and non-adherence to the health advice accompanying these warnings. Method In August 2016 literature was systematically reviewed to find studies assessing intended or actual adherence to health advice accompanying air quality warning systems, and encouraging people to reduce exposure to air pollution. Predictors of adherence to the health advice and/or self-reported reasons for adherence or non-adherence were also systematically reviewed. Studies were included only if they involved participants who were using or were aware of these warning systems. Studies investigating only protective behaviours due to subjective perception of bad air quality alone were excluded. The results were narratively synthesised and discussed within the COM-B theoretical framework. Results Twenty-one studies were included in the review: seventeen investigated actual adherence; three investigated intended adherence; one assessed both. Actual adherence to the advice to reduce or reschedule outdoor activities during poor air quality episodes ranged from 9.7% to 57% (Median = 31%), whereas adherence to a wider range of protective behaviours (e.g. avoiding busy roads, taking preventative medication) ranged from 17.7% to 98.1% (Median = 46%). Demographic factors did not consistently predict adherence. However, several psychosocial facilitators of adherence were identified. These include knowledge on where to check air quality indices, beliefs that one’s symptoms were due to air pollution, perceived severity of air pollution, and receiving advice from health care professionals. Barriers to adherence included: lack of understanding of the indices, being exposed to health messages that reduced both concern about air pollution and perceived susceptibility, as well as perceived lack of self-efficacy/locus of control, reliance on sensory cues and lack of time. Conclusion We found frequent suboptimal adherence rates to health advice accompanying air quality alerts. Several psychosocial facilitators and barriers of adherence were identified. To maximise their health effects, health advice needs to target these specific psychosocial factors

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https://kclpure.kcl.ac.uk/portal/files/79632031/Psychosocial_and_demographic_predictors_D_ANTONI_Publishedonline22September2017_GOLD_VoR_CC_BY_.pdf

Правда коммунизма. 1973. № 042

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