Scottish Health Survey - topic report: The Glasgow Effect

Topic report in the Scottish Health Survey series investigating the existence of

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Table 4: Percentage of difference between Greater Glasgow and Clyde and the rest of Scotland explained by each group of explanatory variables

Outcome

Significant difference for residents of Greater Glasgow and Clyde after adjusting for age and sex?

Percentage of difference between Greater Glasgow and Clyde and the rest of Scotland explained by:

SIMD

SIMD and socio-economic variables

SIMD, socio-economic and behavioural variables

SIMD, socio-economic, behavioural and biological variables

SIMD, socio-economic, behavioural, biological, relationships and social mobility variables

Mental and General Health

Anxiety

v

5

19

36

30

100 a

GHQ

v

9

28

100 b

WEMWBS

v

100

Depression

v

18

100

Self-assessed health

v

64

100

Physical Health

Heart attack c

v

24

22

20

4

4

Limiting longstanding illness

v

48

100

Stroke

X

CVD

v

100

COPD

v

100

Adverse Health Behaviours

Overweight d - men

v

100 b

100 b

100 b

100

Overweight d - women

X

Obesity - men

X

Obesity - women

X e

e

e

Binge drinking

X

Drinking over the recommended weekly alcohol limit

X

Potential problem drinking

X

Current smokers

X

Heavy smokers

v

100

Consuming less than 2 portions of fruit and vegetables per day

X

a This model is not as good a fit to the data as the previous model, so is not used as the final model
b Residence is no longer in the model when the restricted sample necessary for comparisons is used, but remains in the model when behavioural variables have been added when the full available sample is used
c For heart attack the only biological variable added was BMI
d For overweight neither BMI nor waist-hip ratio were added as biological variables
e For women there was no significant difference in likelihood of obesity after adjusting for age, but the difference became significant when further adjusting for SIMD, and was fully removed when adjusting for SIMD and socio-economic variables

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