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Table 2 Differences in Variables by Cluster Membership

From: Profiles of women’s adjustment after cancer based on sexual and psychosocial wellbeing: results of a cluster analysis

Variable

df

F

Ƞ2

p

Years since diagnosis

2

0.076

0.001

0.927

Year since treatment

2

1.032

0.009

0.358

FACT-G Physical Wellbeingb,c

2

15.623

0.125

0.000

FACT-G Social Wellbeinga,b,c

2

36.567

0.262

0.000

FACT-G Emotional Wellbeingb,c

2

24.572

0.204

0.000

FACT-G Functional Wellbeingb,c

2

19.731

0.173

0.000

FACT-G Totalb,c

2

30.792

0.263

0.000

GAD-7b,c

2

51.532

0.319

0.000

PHQ-8 b,c

2

43.350

0.284

0.000

FSFI Desire Subscalea,c

2

28.197

0.227

0.000

FSFI Arousal Subscalea,c

2

29.204

0.255

0.000

FSFI Lubrication Subscalea,c

2

17.041

0.169

0.000

FSFI Orgasm Subscalea,c

2

19.470

0.188

0.000

FSFI Satisfaction Subscalea,b,c

2

66.476

0.443

0.000

FSFI Pain Subscalea,c

2

17.059

0.170

0.000

FSFI Totala,c

2

32.829

0.285

0.000

FSDSa,b,c

2

208.750

0.663

0.000

SECSIa,c

2

34.954

0.316

0.000

DAS-7a,c

2

16.277

0.133

0.000

DSCSa,c

2

108.382

0.507

0.000

Agec

2

3.198

0.029

0.043

Years with partnerb

2

3.268

0.030

0.040

  1. Legend: a, significant difference between clusters one and two; b, significant difference between clusters two and three; c, significant difference between clusters one and three; p < 0.05. Eta-squared values in theory can range from 0 (no difference) to 1 (maximally different). Cohen’s conventions for interpretation of η2 values suggest that effect sizes of about .01 are small, .06 to .14 are medium, and above .14 are large [26]
  2. Caption: This table displays results from the three cluster ANOVA with Tukey post-hoc analyses for differences in variable means