Table 4

Demographic characteristics by cluster – % of people representing each demographic trait in each cluster

VariableSegmentχ2
Health worriersOverwhelmed with worriesUnconcernedFinancial worriers
Gender
 Female56.6%57.7%55.6%69.8%χ2(3) = 3.45, p = 0.328
 Male43.4%42.3%44.4%30.2%
Age
 18–25 YO14.4%25.5%7.1%26.1%χ2(9) = 11.18, p = 0.264
 26–35 YO15.5%11.2%21.4%18.5%
 36–49 YO47.4%43.9%42.9%40.0%
 50–64 YO22.7%19.4%28.6%15.4%
Education
 Primary school3.0%7.1%7.1%0.0%χ2(9) = 36.91, p < 0.001
 Basic education6.1%9.1%0.0%21.5%
 Secondary education16.2%33.3%10.7%12.3%
 Bachelor’s degree or higher74.7%50.5%82.1%66.2%
City size
 Village24.2%33.3%17.9%23.1%χ2(15) = 13.87, p = 0.535
 Small town18.2%18.2%17.9%13.8%
 Small-medium city21.2%18.2%21.4%26.2%
 Medium city18.2%15.1%10.7%18.5%
 Medium-large city10.1%8.1%7.1%9.2%
 Large city8.1%7.1%25.0%9.2%
Employment status
 Student10.6%21.9%3.7%15.6%χ2(12) = 17.48, p = 0.132
 Employed full-time69.1%51.0%74.1%51.6%
 Employed part-time4.3%6.3%3.7%4.7%
 Entrepreneur11.7%15.6%18.5%17.2%
 Unemployed4.3%5.2%0.0%10.9%
Income     
 Less than 600€11.1%15.2%3.6%15.4%χ2(18) = 33.92, p = 0.013
 600€ to 1,050€21.2%37.4%28.6%35.4%
 1,050€ to 1,500€23.2%13.1%21.4%18.4%
 1,500€ to 1,875€5.1%6.1%17.8%3.1%
 1,875€ to 2,500€19.2%5.0%21.4%9.2%
 More than 2,500€7.1%4.0%3.6%3.1%
 I do not want to answer13.1%19.2%3.6%15.4%

Note(s): The least frequent Gender, Age and Employment status categories have been omitted in the analysis

Source(s): Authors’ own work

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