Correlational finding on Happiness and subject: Use of tobacco

StudyBreslin et al. (2013): study GB 2009
TitleSocio-Demographic and Behavioural Differences ans Associations with Happiness for Those Who Are in Good and Poor Health.
SourceInternational Journal of Happiness and Development, 2013, Vol. 1, 142 - 154
URLhttps://doi.org/10.1504/IJHD.2013.055641
Public16+ aged general public Northern Ireland, 2009
SampleProbability multi-stage random
Non-Response45,4%
Respondents N =4663

Correlate
Author's labelSmoking
Our classificationUse of tobacco
Operationalization
5: smokes daily
4: smokes occasionally
3: ex-smoker
2: ex-occasional smoker
1: never smoked (reference)

Observed Relation with Happiness
Happiness
Measure
StatisticsElaboration/Remarks
O-HL-u-sq-n-10-hOR=0.75 p < .05
Smoking daily
CI95[0.63-0.88]
O-HL-u-sq-n-10-hOR=0.60 p < .05
Smoking occasionally 
CI95[0.44-0.83]
O-HL-u-sq-n-10-hOR=0.92 ns
Ex smoker
CI95[0.76-1.12]
O-HL-u-sq-n-10-hOR=0.83 ns
Ex occasional smoker
CI95[0.64-1.07]

OR's similar among people in good or bad health

OR's controled for:
- age
- social class

Happiness dichotomized: <7 vs 7 or more


Appendix 1: Happiness measures used
CodeFull Text
O-HL-u-sq-n-10-hSelf report on single question:

In general, how happy would you say you are?
10
9
8
7
6
5
4
3
2
1
Labels of scale ends not reported

1. Least happy score
2
3
-
-
10. Most happy score


Appendix 2: Statistics used
SymbolExplanation
OROR: Odds ratio in binary logistic regression.

Happiness is a binary or dichotomous variable with Happy =1 and Unhappy=0.

OR < 1 indicates that the odds of being happy-to-being unhappy
decreases by a factor OR when

1) the corresponding metric correlate increases by one unit
2) the corresponding category of a categorical correlate is compared to the reference category.

OR > 1 indicates an increase by a factor OR for both the above cases.
Source:
Ruut Veenhoven, World Database of Happiness, Collection of Correlational Findings, Erasmus University Rotterdam.
https://worlddatabaseofhappiness.eur.nl