Table II

Characteristics of cluster and five segments (% of respondents, n=459)

ClusteraAppearance and achievementActiveAltruisticAchievementLess health
n1301105464101Statisticsd
Gender (%)
Male40.135.442.731.548.442.6χ2=5.300; df=4
Female59.964.657.368.551.657.4 
Age (average)
55–9068.5669.8467.7367.4667.9168.82F=(4,454)=2.622*
Educational levelb,c(%)
Low18.218.113.618.027.118.1χ2=10.529; df=8
Middle25.826.734.026.022.018.1 
High55.955.252.456.050.863.8 
Household composition (%)
One person household without children23.333.913.68.219.031.2χ2=34.699; df=16**
Two persons household without children68.960.277.779.672.462.4 
One person household with children1.22.51.00.00.01.1 
Two persons household with children5.92.55.812.28.65.4 
Otherwise0.70.81.90.00.00.0 
Perceived health status (%)
Excellent21.121.023.114.013.627.7χ2=27.623; df=12*
Good62.770.660.674.052.555.3 
Reasonable14.67.615.412.030.513.8 
Moderate1.60.81.00.03.43.2 
Bad00.00.00.00.00.0 

Notes:aClusters sorted by highest average HRMO score, clusters numbers are based on size of the clusters (1 is the largest); bEducational level: Low =primary school, lower vocational technical education, household school, LBO, MAVO, MULO/ULO. Middle =MMS, HBS, HAVO, VWO, Lyceum, Gymnasium, MTS, MBO, UTC. High =HBO, HTS, Academic/scientific education, Promoted/PhD; cPercentages do not add up to 100 due to missing cases; dANOVA for age, χ2 for all other demographic variables. *p<0.05; **p<0.01

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