| Literature DB >> 32393849 |
Kelly A Metcalfe1,2, Melanie A Price3, Carol Mansfield4, David C Hallett5, Geoffrey J Lindeman6,7, Angie Fairchild4, Joshua Posner4, Sue Friedman8, Carrie Snyder9, Henry T Lynch9, D Gareth Evans10, Steven A Narod11, Alexander Liede12.
Abstract
BACKGROUND: Women with a BRCA1 or BRCA2 mutation have high lifetime risks of developing breast and ovarian cancers. We sought to estimate the prevalence of cancer-related distress and to identify predictors of distress in an international sample of unaffected women with a BRCA mutation.Entities:
Mesh:
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Year: 2020 PMID: 32393849 PMCID: PMC7374749 DOI: 10.1038/s41416-020-0861-3
Source DB: PubMed Journal: Br J Cancer ISSN: 0007-0920 Impact factor: 7.640
Summary statistics.
| Source of recruitment | Summary statistics | |||
|---|---|---|---|---|
| Number of respondents (%)a, except where noted | ||||
| Clinic ( | FORCE ( | Test of difference | All respondents ( | |
| Age (years) | ||||
| Min, max | 25, 55 | 25, 55 | 0.599 | 25, 55 |
| Mean (SD) | 40.68 (8.11) | 41.04 (8.16) | 40.85 (8.13) | |
| Median | 40 | 41 | 41 | |
| Age category | ||||
| 25‒39 | 137 (45.2%) | 117 (42.9%) | 0.569 | 254 (44.1%) |
| 40‒55 | 166 (54.8%) | 156 (57.1%) | 322 (55.9%) | |
| Ethnicity | ||||
| White or Caucasian | 282 (93.1%) | 257 (94.1%) | 0.136 | 539 (93.6%) |
| Black or African decent | 0 (0.0%) | 3 (1.1%) | 3 (0.5%) | |
| Hispanic or Latino | 1 (0.3%) | 3 (1.1%) | 4 (0.7%) | |
| Asian | 5 (1.7%) | 3 (1.1%) | 8 (1.4%) | |
| Other | 15 (5.0%) | 7 (2.6%) | 22 (3.8%) | |
| Higher education (4-year college and higher) | 170 (56.1%) | 217 (79.5%) | <0.001 | 387 (67.2%) |
| Marital status | ||||
| Married/living as married/civil partnership | 233 (76.9%) | 207 (75.8%) | 0.834 | 440 (76.4%) |
| Single/never married | 42 (13.9%) | 43 (15.8%) | 85 (14.8%) | |
| Divorced/separated/widowed/other | 28 (9.2%) | 23 (8.4%) | 51 (8.9%) | |
| Have child or children | 59 (19.5%) | 56 (20.5%) | 0.755 | 398 (69.1%) |
| Employment status | ||||
| Employed full time | 159 (52.5%) | 170 (62.3%) | 0.003 | 329 (57.1%) |
| Employed part time | 74 (24.4%) | 32 (11.7%) | 106 (18.4%) | |
| Self-employed | 28 (9.2%) | 28 (10.3%) | 56 (9.7%) | |
| Homemaker | 23 (7.6%) | 32 (11.7%) | 55 (9.5%) | |
| Other | 19 (6.3%) | 11 (4.0%) | 30 (5.2%) | |
| Income (above median income in respective country) | 136 (44.9%) | 75 (27.5%) | <0.001 | 211 (36.6%) |
| Country | ||||
| US | 38 (12.5%) | 273 (100.0%) | ─ | 311 (54.0%) |
| UK | 117 (38.6%) | ─ | 117 (20.3%) | |
| Australia | 117 (38.6%) | ─ | 117 (20.3%) | |
| Canada | 31 (10.2%) | ─ | 31 (5.4%) | |
| Place of recruitment | ||||
| Clinic | 303 (100.0%) | ─ | ─ | 303 (52.6%) |
| Online through FORCE | ─ | 273 (100.0%) | 273 (47.4%) | |
| Mutation | ||||
| | 154 (50.8%) | 147 (53.8%) | 0.066 | 301 (52.3%) |
| | 136 (44.9%) | 124 (45.4%) | 260 (45.1%) | |
| | 7 (2.3%) | 1 (0.4%) | 8 (1.4%) | |
| Do not know or not sure | 6 (2.0%) | 1 (0.4%) | 7 (1.2%) | |
| Time in years since gene mutation identified; mean (SD), median (range) | 6.11 (4.7) 6 (0 | 3.49 (3.5) 2 (0 | <0.001 | 4.87 (4.35) 4 (0‒23) |
| IES total score by category | ||||
| Sub-clinical (0‒8) | 166 (54.8%) | 144 (41.8%) | 0.002 | 280 (48.6%) |
| Mild (9‒25) | 102 (33.7%) | 100 (36.6%) | 202 (35.1%) | |
| Moderate (26‒43) | 27 (8.9%) | 47 (17.2%) | 74 (12.8%) | |
| Severe (≥ 44) | 8 (2.6%) | 12 (4.4%) | 20 (3.5%) | |
| Family historyb | ||||
| First-degree relative with breast cancer before age 50 years | 221 (72.9%) | 197 (72.2%) | 0.835 | 418 (72.6%) |
| First-degree relative with ovarian cancer at any age | 144 (47.5%) | 126 (46.2%) | 0.742 | 270 (46.9%) |
| ≥2 family members with breast cancer on the same side of the family | 202 (66.7%) | 181 (66.3%) | 0.926 | 383 (66.5%) |
| Male relative with breast cancer | 26 (8.6%) | 15 (5.5%) | 0.150 | 41 (7.1%) |
| Breast, ovarian, and/or pancreatic cancer on the same side of the family | 112 (37.0%) | 111 (40.7%) | 0.363 | 223 (38.7%) |
| ≥3 relatives with breast cancer at any age | 140 (46.2%) | 126 (46.2%) | 0.990 | 266 (46.2%) |
| None of the above | 14 (4.6%) | 9 (3.3%) | 0.418 | 23 (4.0%) |
| Risk-reducing strategies (completed/current) | ||||
| RRBM (only) | 46 (15.2%) | 44 (16.1%) | 0.757 | 90 (15.6%) |
| BSO (only) | 60 (19.8%) | 47 (17.2%) | 0.426 | 107 (18.6%) |
| RRBM and BSO | 95 (31.4%) | 98 (35.9%) | 0.249 | 193 (33.5%) |
| Neither RRM or BSO | 102 (33.7%) | 84 (30.8%) | 0.458 | 186 (32.3%) |
RRBM risk-reducing bilateral mastectomy, BSO bilateral salpingo oophorectomy.
aPercentage of respondents who answered the question, does not account for missing observations.
bFirst-degree relative: mother, daughter, sister, father, son or brother.
Prevalence of moderate or severe cancer-related distress.
| Category | Prevalence, |
|---|---|
| Total | 94 (16.3%) |
| Age (years) | |
| 25–39 ( | 46 (18.1%) |
| 40–55 ( | 48 (14.9%) |
| Country | |
| US, FORCE ( | 59 (21.6%) |
| US, Creighton University ( | 2 (5.3%) |
| UK ( | 18 (15.4%) |
| Canada ( | 2 (6.5%) |
| Australia ( | 13 (11.1%) |
| Recruitment source | |
| Online through FORCE ( | 59 (21.6%) |
| Clinic ( | 35 (11.6%) |
| Risk-reducing surgery | |
| None ( | 41 (22.0%) |
| RRBM only ( | 14 (15.6%) |
| BSO only ( | 17 (15.9%) |
| RRBM and BSO ( | 22 (11.4%) |
| Time since genetic testing (years) | |
| 0–1 ( | 39 (26.4%) |
| 2–4 ( | 31 (17.6%) |
| 5+ ( | 24 (9.5%) |
Multivariate logistic model evaluating predictors of cancer-related moderate-to-severe cancer-related distress, full sample.
| Variables | All women ( | ||
|---|---|---|---|
| Odds ratio | 95% CI | ||
| Intercept | 0.30* | (0.14, 0.67) | 0.0030 |
| Age | |||
| <40 years | 1.00 | ||
| 40 years or over | 1.03 | (0.56, 1.91) | 0.9222 |
| First-degree relative with breast cancer | |||
| No | 1.00 | ||
| Yes | 1.09 | (0.66, 1.79) | 0.7306 |
| First-degree relative with ovarian cancer | |||
| No | 1.00 | ||
| Yes* | 1.07 | (0.60, 1.90) | 0.8298 |
| Higher education | |||
| No | 1.00 | ||
| Yes | 0.57* | (0.34, 0.96) | 0.0356 |
| Married | |||
| No | 1.00 | ||
| Yes | 0.85 | (0.47, 1.54) | 0.5904 |
| Time since genetic test (years) | 0.92* | (0.85, 0.98) | 0.0158 |
| Have children | |||
| No | 1.00 | ||
| Yes | 1.69 | (0.93, 3.08) | 0.0863 |
| Cancer risk-reducing surgery | |||
| None | 1.00 | ||
| RRBM only | 0.60 | (0.30, 1.21) | 0.1537 |
| BSO only | 0.54 | (0.25, 1.14) | 0.1055 |
| RRBM and BSO | 0.37* | (0.18, 0.76) | 0.0069 |
| Recruitment source | |||
| Clinic | 1.00 | ||
| Online through FORCE | 2.26* | (1.34, 3.82) | 0.0023 |
*P value < 0.05.
Fig. 1Scatter plot and regression line for Impact of Event Scale (IES) total score and years since gene mutation identification.
y-axis: Impact of Event Scale total score. x-axis: Years since identification of gene mutation.