Study | Baruffol et al. (1995): study BE 1992 |

Title | Life Satisfaction as a Mediator between Distressing Events and Neurotic Impairment in a General Population. |

Source | Acta Psychiatrica Scandinavica, 1995, Vol. 92, 56 - 62 |

Public | Adults, community, Belgium, 1990-1992 |

Sample | Probability simple random sample |

Non-Response | T1- T2 attrition: 49% |

Respondents N = | 184 |

Correlate | |

Author's label | distressing events and psychopathological status |

Page in Source | 57-59 |

Our classification | Earlier life-events |

Operationalization | Presence of distressing life events between T1 and T2 0: absence of event 1: presence of event |

Observed distribution | N all:184; No neurotic disorder: 64%; anxiety16%; affective:11%; somatic:9%; any:24%; N respondents with number disorders:1 disorder:41; 2 disorders:15; 3 disorders:3 |

Remarks | A 79-item checklist derived from the Psychiatric Epidemiology Research Interview Life Event Scale(PERI-LES) was used to appraise 1990-1992 life-events. |

Observed Relation with Happiness | ||

Happiness Measure | Statistics | Elaboration/Remarks |

O-DT-u-sq-f-7-a | ChiČ=. p < .02 | T1 happiness by T1-T2 distressing events Psychological disorders between T1 and T2 A: happy at T1(above mean) a: no disturbing events T1-T2: 16% b: one or more disturbing events T1-T2:19% B: unhappy at T1 (below mean) a: no disturbing events T1-T2 :15% b: one or more disturbing events T1-T2:38% Chi square: Bb>Ab.Ba |

O-DT-u-sq-f-7-a | OR=2.4 p < .05 | Relative Risk Estimate Confidence Interval: 1.20-4.57 Risk Respondents (who were unhappy at T1 and experienced disturbing events between T1 and T2) has 2.4 times more chance to get a neurotic disorder than non-risk respondents |

O-DT-u-sq-f-7-a | ChiČ=. p < .05 | To determine the predictive power of each variable alone, the predictors were entered seperately into logistic equations: a simple one with 1 variable and the second model with 2 variables. If one compares the simple model with the 2-term model results, one can see what model is the best: the one that produces the greatest change in scaled deviance(CD). Dependent is: neurotic disorder. CD for overall satisfaction=7.5 |

Appendix 1: Happiness measures used

Code | Full Text |

O-DT-u-sq-f-7-a | Selfreport on single question: Which face comes closest to expressing feeling about life as a whole? 7 delighted 6 very satisfying 5 satisfying 4 mixed 3 dissatisfying 2 very dissatisfying 1 terrible - No opinion Name: Andrews & Withey's "Delighted-Terrible Scale" (modified version) |

Appendix 2: Statistics used

Symbol | Explanation |

ChiČ | CHI-SQUARE Type: test statistic Range: [0; Ne*(min(c,r)-1)], where c and r are the number of columns and rows respectively in a cross tabulation of Ne sample elements. Meaning: ChiČ <= (c-1) * (r-1) means: no or minor association ChiČ >> (c-1) * (r-1) means: strong association |

OR | OR: 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. |

Ruut Veenhoven, World Database of Happiness, Collection of Correlational Findings, Erasmus University Rotterdam.

https://worlddatabaseofhappiness.eur.nl