| |
Codes (n)b
|
|---|
|
Health-related outcomes (44)
|
|
Overall health
|
(39)
|
Degenerative diseases
|
(2)
|
|
Respiratory system
|
(30)
|
Emotions
|
(2)
|
|
Cancer
|
(16)
|
Food/Nutrition
|
(2)
|
|
Life expectancy
|
(12)
|
Happiness
|
(2)
|
|
Mental health
|
(12)
|
Tumor
|
(2)
|
|
Stress
|
(11)
|
Anxiety
|
(1)
|
|
Development
|
(9)
|
Blood
|
(1)
|
|
Allergies
|
(8)
|
Bones
|
(1)
|
|
Brain
|
(7)
|
Chronic disease
|
(1)
|
|
Fertility/Reproductive
|
(7)
|
Digestive system
|
(1)
|
|
Mortality
|
(7)
|
Endocrine system
|
(1)
|
|
Quality of life
|
(7)
|
Genetic
|
(1)
|
|
Skin
|
(7)
|
Hair
|
(1)
|
|
Ageing
|
(6)
|
Headache
|
(1)
|
|
Cardiac system
|
(6)
|
Hormonal system
|
(1)
|
|
Mood
|
(4)
|
Inflammation
|
(1)
|
|
Neuro
|
(4)
|
Irritability
|
(1)
|
|
Concentration
|
(3)
|
Metabolism
|
(1)
|
|
Immune system
|
(3)
|
School performance
|
(1)
|
|
New health topics
|
(3)
|
Tiredness
|
(1)
|
|
Asthma
|
(2)
|
Urine
|
(1)
|
|
Cognition
|
(2)
|
Well being
|
(1)
|
|
Exposure assessment (8)
|
|
Mitigation measures
|
(85)
|
Schools
|
(5)
|
|
Sources
|
(34)
|
Atmospheric conditions
|
(1)
|
|
Pollutants
|
(15)
|
House
|
(1)
|
|
Urban features
|
(6)
|
Noise
|
(6)
|
|
Target population groups (13)
|
|
Children
|
(46)
|
Asthmatic and allergic people
|
(1)
|
|
All groups
|
(11)
|
Pedestrians
|
(1)
|
|
Pregnant women
|
(9)
|
People with respiratory problems
|
(1)
|
|
Elderly people
|
(5)
|
Sportsmen
|
(1)
|
|
Animals
|
(2)
|
Students
|
(1)
|
|
Cyclists
|
(2)
|
Women
|
(1)
|
|
Healthy people
|
(2)
| | |
|
Study design (14)
|
|
Comparison
|
(32)
|
Impact evaluation
|
(2)
|
|
Long term
|
(14)
|
Individual level
|
(2)
|
|
Direct (unmediated)
|
(9)
|
City level
|
(1)
|
|
Cohort studies
|
(4)
|
Independent
|
(1)
|
|
Short term
|
(3)
|
Local level
|
(1)
|
|
Time (day) of exposure
|
(4)
|
Interdisciplinarity
|
(1)
|
|
Expert opinion
|
(2)
|
National scale
|
(1)
|
|
Advocacy (3)
|
|
Political changes
|
(9)
|
Bottom-up initiatives
|
(1)
|
|
Visibility
|
(5)
| | |
- aTotal number of codes
- bTotal number of times code is repeated. Question what about what citizens would like to investigate about air pollution and health. The coding was based on a total of 452 responses
