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Table 1.

Demographic and disease characteristics.

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Table 1 Expand

Table 2.

The IPQ-R, HADS and MSIS-29 descriptive statistics.

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Table 2 Expand

Table 3.

Pearson correlation coefficients between IPQ-R subscales, age and medical characteristics of MS.

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Table 3 Expand

Table 4.

Pearson correlation coefficients between IPQ-R subscales, HADS (depression and anxiety) and MSIS-29 with subscales (quality of life, physical QoL and psychological QoL).

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Table 4 Expand

Fig 1.

Standard means of clusters distinguished in cluster analysis for illness representation in T1 AIP (n = 30), RIP (n = 33) and FIP (n = 27).

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Fig 1 Expand

Table 5.

Mean values of illness perception components in the individual clusters.

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Table 5 Expand

Table 6.

Comparisons of aspects of adaptation between AIP, RIP and FIP clusters.

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Fig 2.

Cross-lagged panel model of MSIS-29 and HADS over four timepoints for AIP (n = 30).

Note: Solid arrows are p < .05; dashed arrows are nonsignificant; numbers above arrows indicate standardized coefficients.

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Fig 2 Expand

Fig 3.

Cross-lagged panel model of MSIS-29 and HADS over four timepoints for RIP (n = 33).

Note: Solid arrows are p < .05; dashed arrows are nonsignificant; numbers above arrows indicate standardized coefficients.

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Fig 3 Expand

Fig 4.

Cross-lagged panel model of MSIS-29 and HADS over four timepoints for FIP (n = 27).

Note: Solid arrows are p < .05; dashed arrows are nonsignificant; numbers above arrows indicate standardized coefficients.

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Fig 4 Expand