Correlational finding on Happiness and subject: Use of tobacco

StudyDeJonge et al. (2009): study NL 2006
TitleLiving a Happy, Healthy and Satisfying Life.
SourceStatisics Netherlands, 2009, Netherlands
URLHTTP://www.oecd.org/dataoecd/63/3/43705841.pdf
Public12+ aged, The Netherlands, 2006-2009
SampleProbability simple random sample
Non-Response
Respondents N =23000

Correlate
Author's labelSmoking
Page in Source 2
Our classificationUse of tobacco
Operationalization
Selfreport
O: Does not smoke
1: Smokes

Observed Relation with Happiness
Happiness
Measure
StatisticsElaboration/Remarks
O-HP-u-sq-v-5-aD%=-
% happy:
0: 90.5
1: 85.0
O-HP-u-sq-v-5-aOR=0.5 p < .01
OR controled for other life-style variables
- too little excercise
- drinking
- overweight

After additionally control for:
- age                 OR = 0,6 (01)
- self rated health   OR = 0,6 (01)
O-SLL-c-sq-v-5-dD%=-
0: 90.3
1: 83.3
O-SLL-c-sq-v-5-dOR=0.5 p < .01
OR controled for other life-style variables
- too little excercise
- drinking
- overweight

After additionally control for:
- age                 OR = 0,5 (01)
- self rated health   OR = 0,6 (01)


Appendix 1: Happiness measures used
CodeFull Text
O-HP-u-sq-v-5-aSelfreport on single question

To what extent do you consider yourself a happy person....?
5 very happy
4 happy
3 neither happy nor unhappy
2 not very happy
1 unhappy
O-SLL-c-sq-v-5-dSelfreport on single question:

How satisfied are you with the life you currently lead?
5 extraordinary satisfied
4 very satisfied
3 satisfied
2 fairly satisfied
1 not very satisfied


Appendix 2: Statistics used
SymbolExplanation
D%DIFFERENCE in PERCENTAGES
Type: descriptive statistic only.
Measurement level: Correlate level: dichotomous, but nominal or ordinal theoretically possible as well. Happiness level: dichotomous
Range: [-100; +100]

Meaning: the difference of the percentages happy people at two correlate levels.
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