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Table 3 Summary of studies reporting linguistic analyses

From: Expressive writing as a therapeutic intervention for people with advanced disease: a systematic review

Study characteristics

Setting, task and assessments

Measures and results

De Moor (2002)

Design: RCT

N = 42

Population: Renal cell carcinoma

Gender: 85.7% male

Mean age: 56.4

Ethnicity: Not reported

Setting: Lab-based

Task: EW: Cancer-related emotions (n = 21); Control: Health behaviours (n = 21)

Four sessions for 20 min over four weeks

Assessments: Immediately post-intervention and at four, six, eight, and 10 weeks

Linguistic analyses: conducted using the LIWC

Results: EW and control groups differed in the words they used for 24 of the 32 categories suggesting emotional and cognitive processing and expression of their cancer experience

Imrie & Troop (2012)

Design: Non-randomised experiment

N = 6

Population: Secondary cancer or life-limiting illness

Gender: 61.5% female

Mean age: 67.5 (SD = 14.9; range = 38–86)

Ethnicity: Not reported

Setting: Day Hospice

Task: EW: Difficult experience from the previous week followed by expressing compassion for the self in the entry (n = 3); Control: Difficult experience from the previous week (n = 3)

Three sessions for 20 min over three weeks

Assessments: Baseline and one-week post-intervention

Linguistic analyses: conducted using the LIWC

Results: Both groups reduced the number of negative words they used between baseline and follow-up (F1,18 = 6.97, p < 0.02) but compared to the control group, the expressive writers increased the number of causal words used over time (F1,18 = 8.36, p < 0.01)

Laccetti (2007)

Design: Secondary analysis of EW entries from RCT

N = 68

Population: Metastatic breast cancer

Gender: All females

Mean age: 51 (range = 36–78)

Ethnicity: 94% White, 5% Native American, 1% Other

Setting: Outpatient clinics

Task: EW: Four sessions for 20–30 min over four consecutive days about experiences, thoughts and feelings related to not fully recovering from cancer and facing death, and traumatic and upsetting experiences in life that may or may not relate to cancer

Assessments: Within one week of study entry and three months post-intervention

Linguistic analyses: conducted using the LIWC

Measures: FACT-B assessed quality of life

Results: Expressive writers who used more positive emotion words reported higher scores on emotional well-being (β = 1.87 [95% CI 0.33, 3.42], p = 0.02) and concerns related to their breast cancer of FACT-B (β = 1.75 [95% CI 0.17, 3.33] p = 0.03) three months post-intervention compared to those who used more negative emotion words

Mosher (2012)

Design: RCT

N = 86

Population: Advanced breast cancer

Gender: All female

Mean age: EW: 57.4 (SD = 12.5); Control: 58.5 (SD = 11.7)

Ethnicity: 81.4% White, 7% African American, 5.8% Hispanic, 5.8% Other

Setting: Home based

Task: EW: Cancer-related emotions (n = 44); Control: Previous day’s activities (n = 42)

Four sessions for 20 min over four-seven weeks

Assessments: Eight weeks post-intervention

Linguistic analyses: conducted using the LIWC

Results: EW group used a higher proportion of positive (η2p = 0.13, p < 0.001) and negative (η2p = 0.46, p < 0.001) words compared to the control group

  1. Note. EW = Expressive Writing; FACT-B = Functional Assessment of Cancer Therapy – Breast [61]; LIWC = Linguistic Inquiry and Word Count