Psychological Effects Of Built Environment (social) Flashcards
background - green spaces - White et al (2013)
- A long-term study based on an analysis of data from the annual British Household Panel Survey responses from 1991 to 2008.
- allowed researchers to trace self-reported psychological health from over 10,000 participants across an 18 year period.
- researchers found respondents were happier
when living in urban areas with large amounts of
green spaces, showing significantly lower mental
distress levels and higher well-being (life satisfaction) levels. - the longitudinal approach made it possible for the researchers to control for other impacts on respondents’ lives, such as income, employment status, marital status, health and housing type.
cheuk fan Ng (2000)
- researchers found respondents were happier
when living in urban areas with large amounts of
green spaces, showing significantly lower mental
distress levels and higher well-being (life satisfaction) levels. - the longitudinal approach made it possible for the researchers to control for other impacts on respondents’ lives, such as income, employment status, marital status, health and housing type.
what is health
‘Health is the absence of disease’
’A state of complete physical, mental and social wellbeing’ (WHO)
How we research the relationship between nature and health
- Compare Urban vs Rural areas- Extraneous variables make this difficult
- Induce stress and then place them in an environment to see if they improve- Ethics
aim of Ulrich
- Compare recovery rates of patients who had Gall Bladder surgery
- View of tree’s vs view of Brick wall
Ulrich method
Records of patients in rooms on the second and third floors of a three-storey wing of the hospital were examined between 1972 and 1981- May and October
This time of year was deliberately used due to the leaves on the trees present during those months.
ulrich method - rooms features
rooms identical features
- Same amount of nurses on the ward
- Same size
- 2 beds in each room
- Furniture arrangements
- Same size window and position of window
- The only difference was what could be seen out of the window.
Ulrich sample
- Ppts between ages 20 + 69.
- Half of the participants had been assigned to rooms with windows looking out over a natural scene and the other half were in similar rooms, but with a view of a brick wall.
- Both groups were made up of 15 females pairs and 8 males pairs and were also matched on:
- Age
- Weight
- previous hospitalisation
- Smoking status
- Year of Surgery
- floor level
- Room size and colour.
DV’s
- Patients’ records were obtained and five key pieces of information were taken:
1. Number of days in hospital from surgery to discharge
2. Number and strength of Painkillers each day
3. Number and strength of anti-anxiety medication
4. Any minor complications, such as nausea which
required medication
5. Nurses’ notes relating to a patient’s condition or course of recovery.
categories of results
- Number of days in hospital from surgery to discharge
- Number and strength of Painkillers each day
- Number and strength of anti-anxiety medication
- Any minor complications, such as nausea which required medication
- Nurses’ notes relating to a patient’s condition or course of recovery.
- Number of days in hospital from surgery to discharge
Tree Window = 8.7 days
Brick Window = 7.96 days
- Number and strength of Painkillers each day
1- Surgery day and day 1 post surgery
2- Days 2-5 after
3- Days 6-7 after surgery
- Tree view took milder pain killers than Brick view
- Number and strength of anti-anxiety medication
- No significant difference- may be due to painkillers causing drowsiness.
- Any minor complications, such as nausea which required medication
- Tree group had less complications although not statistically significant
- Nurses’ notes relating to a patient’s condition or course of recovery.
- Positive notes = In good spirits, Moving well
- Negative notes = Upset and crying, Needs encouragement
Tree Window = 1.13 negative notes
Brick Window = 3.98 negative notes
> More positive comments for Tree condition but not statistically significant