Abstract
The possibility of positive psychological changes after cancer, namely, posttraumatic growth, is a growing field of research. Identifying personality traits and coping strategies related to posttraumatic growth may help find vulnerable individuals as well as promote helpful coping strategies to help more patients make positive changes at an early stage. The aim of this systematic literature review is to provide an overview of the quantitative data on coping strategies and personality traits associated with posttraumatic growth in patients with cancer and cancer survivors as well as the methods used in included studies. A systematic literature search was conducted using five databases (PubMed, PubPsych, PsycInfo, Web of Science, and PSYNDEXplus). The 70 reports of included studies assessed posttraumatic growth using questionnaires in a sample of patients with cancer or survivors. In addition, associations with a personality trait or coping strategy had to be examined cross-sectionally or longitudinally. All 1698 articles were screened for titles and abstracts by two authors, after which disputed articles were reviewed by a third author. Afterwards, articles were screened for full texts. Most studies had a cross-sectional design and used a sample of patients with breast cancer. Coping strategies have been researched more than personality factors. The personality traits of resilience, hardiness, dispositional positive affectivity, and dispositional gratitude seem to be related to posttraumatic growth, while the Big Five personality traits (openness to experience, conscientiousness, extraversion, agreeableness, neuroticism) have been less researched and/or seem to be unrelated. The use of social support, religious coping, positive reframing, and reflection during illness as coping strategies seems to be related to posttraumatic growth. The findings can be used for the development of interventions. Future studies should investigate associations longitudinally.
Keywords: cancer, survivor, posttraumatic growth, PTG, Post-traumatic Growth Inventory, illness coping, personality, psycho-oncology
1. Introduction
Receiving a diagnosis and undergoing treatment for cancer are potentially traumatic events with negative psychological impacts, such as causing distress and symptoms of posttraumatic stress disorder (PTSD) [1,2,3]. Simultaneously, the struggle with such highly challenging life crises can have a positive impact, which is often referred to as posttraumatic growth (PTG) [4,5,6]. It can be influenced by factors such as personality traits and coping strategies. Our aim was to summarize studies that investigated relationships of personality traits and/or coping strategies with PTG. This can be of use for the development of interventions.
The experience of cancer can entail a series of traumatic events. Cancer can be regarded as a chronic stressor that can produce similar traumatic reactions as an acute traumatic event [7]. Half of patients with cancer have high levels of distress [2]. A high proportion of patients with cancer experiences symptoms of PTSD, and the probability of PTSD in cancer survivors is higher than that in the general population [3,8]. On the other hand, patients with cancer and survivors also report positive psychological changes [9,10]. The concept of posttraumatic growth was originally used for trauma victims but has long been extended to other serious illnesses such as cancer [11]. It entails five domains extracted through factor analysis of qualitative data of people who experienced stressful events or crises: greater appreciation of life and changed sense of priorities; warmer, more intimate relationships with others; a greater sense of personal strength; recognition of new possibilities or paths for one’s life; and spiritual development. It can be measured with the validated Posttraumatic Growth Inventory (PTGI) and is understood as a process that develops over time [6]. One fifth of long-term cancer survivors report moderate to high PTG, which is higher than that in the general population [10,12]. Still, the reported PTG of cancer survivors is lower than that of people working in a specific profession such as firefighters, veterans, and intensive care staff and people experiencing a series of adverse life events in general [11,13]. Existing research on the topic has shown that PTG has a practical impact as it is related to distress and PTSD symptoms [14]. For example, there are indications that the absence of PTG is a risk factor for later depression [15]. It is suggested that a certain amount of distress is necessary for development of PTG and that the development of PTG is associated with less distress later in life [16,17,18].
Personality differences predict the experience of benefits from adverse events [19]. In the original model of growth by Tedeschi and Calhoun [5,6], personality characteristics are described as playing a key role in the development of PTG. Personality traits are “relatively stable, consistent, and enduring internal characteristic that [are] inferred from a pattern of behaviors, attitudes, feelings, and habits in the individual” [20]. They found extraversion, openness to experience, and optimism to be related to PTG and suggested that certain personality types tend to cope with negative events in ways that lead to growth. Important personality traits such as the Big Five [21] have not yet been included in systematic reviews of PTG in cancer.
Apart from personality traits, the model of growth [5,6] describes coping strategies as playing a key role in the development of PTG. Coping strategies are mechanisms people use to deal with demands that exceed their own resources. They can entail behavior as well as cognitive processes [22]. Coping can be assessed situationally as well as dispositionally. There are different ways of categorizing coping strategies, for example, into problem-focused, emotion-focused, and less useful strategies [23]; however, no consensus exists. Tedeschi and Calhoun emphasized the role of certain cognitive processes and social support for PTG. These variables were later included in models explaining the development of PTG and reviewed systematically in people who experienced traumatic events in general [24,25,26]. Certain coping strategies play a crucial role in the development of PTG in certain cancer types such as breast cancer and oral cavity cancer. Systematic reviews found associations of PTG with the use of social support, religious, problem-focused and active coping, positive reinterpretation, acceptance, and humor [27,28]. It is unclear if these relationships can be generalized to all cancer types.
For the development of specific interventions enhancing PTG, it is necessary to understand the influential factors. PTG can be enhanced in patients with cancer and survivors through interventions, as shown in a meta-analysis of randomized-controlled trials [29]. Such interventions are most effective when mindfulness-based methods, including e-health, are used, when they are applied during acute cancer treatment and when participants have a breast cancer diagnosis and not another cancer diagnosis [29,30]. A short-term promotion of PTG might mitigate negative distress, and a long-term one might increase well-being [18]. The interventions included in meta-analyses are broad and not designed with a primary focus on PTG [31]. It is recommended to develop “systematic and focused” intervention strategies “focusing on the key process … and influential factors in the process of PTG” [29]. One suggested new intervention approach is to promote coping strategies in order to enhance PTG [27]. To identify vulnerable patients, it can be helpful to know what distinguishes patients with cancer and survivors who report high PTG from those who report low PTG in terms of their personality.
There is therefore a need for more research about the underlying processes. In conclusion, identifying relevant personality traits and coping strategies related to PTG may help identify vulnerable individuals early on, as well as promote helpful coping strategies to support more patients in making positive changes. The aim of this systematic literature review was therefore twofold: (1) to identify methods that have been used in studies to investigate the relationship between coping strategies and PTG; (2) to identify associations that have been found between different personality traits and coping strategies and PTG.
2. Materials and Methods
The systematic review was conducted according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) statement criteria [32]. The review protocol was registered in advance in PROSPERO, the International Prospective Register of Systematic Reviews (CRD42022304224).
2.1. Search Strategy
We searched five databases, PubMed, PubPsych, PsycInfo, Web of Science, and PSYNDEXplus on 10 September 2022. The following combination of search terms was used: (cancer OR tumor OR neoplasm OR malignoma OR oncolog*) AND (posttraumatic growth OR post-traumatic growth OR post traumatic growth OR ptg OR stress-related growth*) AND (trait OR characteristics OR qualities or personality OR coping OR coping strategies OR coping skills OR coping behavior OR cope).
We decided to search for the terms posttraumatic growth and stress-related growth as these describe similar concepts. Other terms such as benefit finding, thriving, and positive adjustment also describe positive changes after negative events, but they are not defined as resulting from the struggles with the event, which is crucial to the definition of posttraumatic growth [7].
2.2. Eligibility Criteria
The research question and eligibility criteria were based on the PICO strategy [33]. We included studies that had (P) patients with any type of cancer and survivors who were adults at the time of cancer diagnosis as the samples. (I) Interventions were not necessary, and there was no exclusion criterion. (C) A control group was not necessary, and there was no exclusion criterion. (O) The outcomes were the relationship between PTG and any coping strategy or any personality trait.
Studies were excluded if any of the following criteria were met:
The sample did not consist of patients with cancer and/or survivors. The sample or part of the sample was younger than 18 years at the time of cancer diagnosis.
The study did not measure the relationship between PTG assessed via the Posttraumatic Growth Inventory (PTGI) and coping strategies and/or personality traits.
The article was not written in English.
The article was not a quantitative study (qualitative study, book chapters, systematic reviews, narrative reviews etc.)
2.3. Data Extraction
After removal of the duplicates, screening of articles followed a stepwise strategy. Two authors (K.K. and A.B.) individually screened the search results by titles and abstracts. Disagreement between the reviewers was resolved by a third author (J.G.). One author (K.K.) screened the remaining articles for the full text. Articles with any exclusion criterion were excluded after each step. The studies that were considered eligible were included in the review, and the relevant data were collected via a standardized data extraction form. It comprised the following:
Reference (authors, publication year, country)
Characteristics of the study population (sample size, mean age, cancer type, time since diagnosis)
Study data (design, assessed constructs, used questionnaires)
Results (direction of the relationship between the total PTGI score and any coping or trait variable).
This review aimed for a descriptive data analysis. After the data extraction, the methods that the studies used were tabulated and categorized to provide an overview. Afterwards, the data concerning associations between coping or traits and PTG were tabulated and categorized. We aimed to cluster coping strategies according to the second-order factors calculated in each study.
2.4. Quality Assessment
The quality of the included studies was assessed via the Joanna Briggs Institute (JBI) critical appraisal checklist for analytical cross-sectional studies [34]. We used the checklist for all studies (longitudinal and cross-sectional), as the longitudinal studies mostly did not assess the change in the relationships over time. Two authors (K.K. and J.G.) completed the assessment and discussed differences until consensus was reached.
3. Results
The literature search of the five scientific databases resulted in a total number of 2627 studies. An additional 11 studies were found in reference lists of other studies. After the removal of duplicate records, 1698 articles were left for screening. After title and abstract screening, 114 articles were left for full-text screening. Three full texts could not be retrieved. Among the full texts, 69 studies in 70 reports fulfilled the inclusion criteria and were included in the review. Two reports referred to the same study (study number 1). Figure 1 shows the study selection process in the PRISMA flow diagram [32]. Overall, the studies had good quality with some exceptions. Many studies did not describe the sample characteristics in detail. For example, they did not report the mean time since diagnosis or the mean age of the participants. Confounding factors were often not identified. One reason for this is that most studies’ main objective was not to assess the relationships we were interested in. The detailed assessment can be found in the supplementary material (Tables S1 and S2).
Figure 1.
PRISMA flow diagram [32].
3.1. Methods Used
Articles were published between 2003 and 2022. Most articles had a cross-sectional design (70 %, Table 1). Cancer type, time since diagnosis, and number of participants varied widely across the studies. A high percentage of studies had a sample of patients with breast cancer (38%), followed by a mixed sample (31%), gynecological cancer (7%), hematologic cancer or received a hematopoietic stem cell transplant (4% each), brain cancer, craniofacial cancer, prostate cancer (3% each), colorectal cancer, head and neck cancer, hepatobiliary cancer, lung cancer, melanoma, or cancer of the oral cavity (1% each). The mean age of the sample was mainly 50 or 60 years. Some studies did not report the mean age and standard deviation. For these studies, we extracted the age range or median. Time since diagnosis ranged from a maximum of one month to a mean of over 10 years, while 49 articles did not provide information on the average time since diagnosis. The n ranged from 25 to 1221. Twenty-six percent of the studies were conducted in the USA, thirteen percent in China, six percent in Australia, six percent in Turkey, and the rest in other countries.
Table 1.
Sample and study characteristics.
No. | First Author (Year) | n | Country | Type of Cancer | Mean Time since Diagnosis (SD) 2 | Mean Age in Years (SD) 2 | Study Design |
---|---|---|---|---|---|---|---|
1 | Bourdon (2019) 1 [35] | 78 | France | Melanoma | Max. 1 month | 51 (NR) | L |
1 | Bourdon (2019) 1 [35] | 215 | France | Breast | Max. 1 month | 53 (NR) | L |
2 | Bussell (2010) [36] | 59 | USA | Breast | NR, currently in chemotherapy | 50, range: 28–76 | L |
3 | Moore (2011) [37] | 202 | USA | Hepatobiliary | At diagnosis | 63 (NR) | L |
4 | Wilson (2014) [38] | 514 | Australia | Prostate | 7.5 years (4.66) | 70 (NR) | C |
5 | Tallman (2013) [39] | 98 | USA | Mixed | 325 days (564) | Range: 18–80 | L |
6 | Li (2019) [40] | 330 | China | Brain | NR | 40 (NR) | C |
7 | Hamama-Raz (2019) [41] | 198 | Israel | Breast | NR | 52 (10.9) | L |
8 | Kim (2021) [42] | 114 | Korea | Brain | NR | 55 (11.5) | C |
9 | Cheng (2020) [43] | 84 | Taiwan | Breast | NR | 50 (8.7) | L |
10 | Leong Abdullah (2019) [44] | 195 | Malaysia | Mixed | NR | 53 (10.3) | C |
11 | Yu (2014) [45] | 230 | China | Mixed | NR | 64 (3.1) | C |
12 | Zhang (2021) [46] | 532 | China | Lung | NR | Median = 57 | C |
13 | Koutrouli (2016) [47] | 202 | Greece | Breast | NR | 61 (11.3) | C |
14 | Oh (2021) [48] | 148 | Korea | Gynecological | NR | 62 (9.4) 69 (8.6) 68 (2.2) 70 (9.9) 4 |
C |
15 | Wang (2016) [49] | 139 | China | Mixed | 29.36 months (47.85) | 58 (12.3) | C |
16 | Liu (2018) [50] | 202 | China | Breast | NR | 48 (8.9) | C |
17 | Lelorain (2010) [51] | 307 | France | Breast | 10 years (2.8) | 62 (7.9) | C |
18 | Büyükaşik-Çolak (2012) [52] | 90 | Turkey | Breast | 12.54 months (NR) | 45 (8.7) | C |
19 | Bellur (2018) [53] | 134 | Turkey | Breast | NR | 45 (8.2) | C |
20 | Lianchao (2020) [54] | 309 | China | Mixed | NR | 59 (3.3) | C |
21 | Cao (2018) [55] | 201 | China | Mixed | NR | 50 (11.2) | C |
22 | Silva (2012) [56] | 50 | Portugal | Breast | NR | 52 (8.3) | L |
23 | Gori (2021) [57] | 154 | Italy | Mixed | NR | 51 (11.3) | C |
24 | Baník (2014) [58] | 109 | Slovakia | Hematologic | NR | 48 (14.6) | C |
25 | Tu (2019) [59] | 201 | Taiwan | Breast | 39.14 months (18.45) | 52 (9.7) | C |
26 | Manne (2004) [60] | 162 | USA | Breast | NR | 49 (NR) | L |
27 | Caspari (2017) [61] | 169 | USA | Mixed | NR | 61 (11.4) | C |
28 | Cormio (2017) [13] | 540 | Italy | Mixed | NR | 57 (11.0) | C |
29 | Zhou (2021) [62] | 344 | China | Gynecological | NR | Range: 21–78 years | C |
30 | Villanova Quiroga (2020) [63] | 84 | Brazil | Breast | Median = 4 years (percentiles 25–75: 2–10) | 55 (12.7) | C |
31 | Salsman (2009) [64] | 55 | USA | Colorectal | 1.07 years (0.19) | 66 (12.7) | L |
32 | Zhang (2020) [65] | 1221 | China | Mixed | 8.36 years (4.67) | 62 (8.6) | C |
33 | Baglama (2010) [66] | 31 | North Cyprus | Breast | Diagnosis within the past 5 years | 51 (11.6) | C |
34 | Carboon (2005) [67] | 62 | Australia | Hematologic | NR | 43 (14.3) | L |
35 | Cohen (2011) [68] | 124 | Israel | Breast | NR | 70 (17.4) | C |
36 | Boyle (2017) [69] | 175 | USA | Breast | 18.61 months (2.88) | 53 (8.0) | C |
37 | Ho (2004) [70] | 188 | Hong Kong | Mixed | NR | 49 (0.6) | C |
38 | Smith (2008) [71] | 183 | USA | Gynecological | 10.30 years (5.01) | 51 (9.1) | C |
39 | Thornton (2006) [72] | 82 | USA | Prostate | NR | 61 (7.4) | L |
40 | Baghjari (2017) [73] | 120 | Iran | Mixed | NR | 47 (14.7) | C |
41 | Bellizzi (2006) [74] | 224 | USA | Breast | NR | 60 (12.0) | C |
42 | MoshirPanahi (2020) [75] | 300 | Iran | Mixed | Range: 5–84 months post-diagnosis | 53 (27.6) | C |
43 | Widows (2005) [76] | 72 | USA | Receiving hematopoietic stem cell transplant | 24.05 months (10.01) post-BMT at time of follow-up | 48 (10.0) | L |
44 | Danhauer (2013) [77] | 653 | USA | Breast | Median = 4.7 months, range = 0.1–7.3 | 55 (12.6) | L |
45 | Strack (2010) [78] | 128 | Germany | Mixed | NR | 55 (12) | C |
46 | Roohi (2020) [79] | 265 | Iran | Mixed | NR | NR | C |
47 | Morris (2011) [80] | 313 | Australia | Mixed | 2.92 years (1.86), range: 1.5–4 | 62 (12.1) | C |
48 | Tomita (2017) [81] | 157 | Japan | Breast | 64.13 (45.4) months | 59 (10.1) | C |
49 | Scrignaro (2011) [82] | 41 | Italy | Mixed | NR | 52 (7.7) | L |
50 | Fujimoto (2021) [83] | 80 | Japan | Breast | NR, range: 2–10 years | NR | C |
51 | Bozo (2009) [84] | 104 | Turkey | Breast | 29.15 months (49.88) | 46 (9.2) | C |
52 | Ogińska-Bulik (2017) 3 [85] | 60 | Poland | Craniofacial | NR | 50 (17.7) | C |
53 | Gall (2011) [86] | 93 | Canada | Breast | NR | 61 (11.3) | L |
54 | Schmidt (2012) [87] | 54 | USA | Mixed | 4.5 (2.8) years | 53 (10.5) | C |
55 | Schroevers (2008) [88] | 113 | Malaysia | Mixed | 45 months (40.53) | 52 (11.1) | C |
56 | Aflakseir (2016) [89] | 120 | Iran | Breast | 4.6 years | 51 (10.0) | C |
57 | Ogińska-Bulik (2019) [90] | 71 | Poland | Mixed | NR | 49 (12.7) | L |
58 | Ogińska-Bulik (2018) 3 [91] | 60 | Poland | Craniofacial | NR | 50 (17.7) | C |
59 | Ho (2011) [92] | 50 | Hong Kong | Oral cavity | 3.6 years (0.34) | 60 (13.1) | C |
60 | Sears (2003) [93] | 92 | USA | Breast | 28.47 weeks (13.38) | 52 (10.3) | L |
61 | Danhauer (2015) [94] | 653 | USA | Breast | NR | 54, range: 25–96 | L |
62 | Tallman (2010) [95] | 25 | USA | Receiving hematopoietic stem cell transplant | NR | 37 (10.3) at time of transplantation | L |
63 | Hill (2017) [96] | 59 | USA | Gynecological | 58.90 months (56.95) | 50 (10.6), range: 28–74 | C |
64 | Morris (2007) [97] | 335 | Australia | Mixed | Range: 1.5–4 years | 63 (12.2) | C |
65 | Jaarsma (2006) [98] | 294 | Netherlands | Mixed | 3.90 years (2.50) | 56 (12.2), range: 21–84 | C |
66 | Ruini (2013) [99] | 67 | Italy | Breast | 7 years (4.4) | 57 (11.7) | C |
67 | Schwartz (2022) [100] | 430 | USA | Receiving hematopoietic stem cell transplant | NR | 53, range: 19–74 | L |
68 | Nik Jaafar (2021) [101] | 200 | Malaysia | Head and neck | NR | NR | L |
69 | Boyacıoğlu (2022) [102] | 111 | Turkey | Hematologic | NR | 50 (16.0) | C |
70 | Karimzadeh (2021) [103] | 210 | Iran | Breast | NR | 48 (10.5), range: 41–50 | C |
NR = not reported. C = cross-sectional. L = longitudinal. 1 Two separate subsamples in this study. 2 Some studies did not report the mean and/or standard deviation. For these studies, the age range or median is given if available. 3 Two reports of the same study. 4 No total mean or SD reported. Mean and SD reported for each of the four analyzed subgroups.
Most studies did not discriminate between genders. The studies that assessed gender differences revealed the following: While most studies (study number 6, 24, 28, 31, 37, 40, 43, 59, 62, 69, Table 1) did not reveal a significant relationship between gender and PTG, two of the included studies (study number 65, 68, Table 1) showed women to have experienced more PTG than men. The same applied to disease characteristics: while most studies (study number 24, 49, 59, 69, Table 1) did not find a relationship between PTG and disease characteristics such as time since diagnosis, type of cancer, and treatment, one study (number 27, Table 1) found higher PTG scores in breast cancer survivors than in prostate cancer survivors. However, none of the included studies assessed whether the relationship between PTG and personality/coping differed between genders and disease characteristics.
All studies used validated self-reported questionnaires. For the assessment of personality factors, 12 different tools were used assessing eight different constructs, namely, dispositional optimism, dispositional hope, dispositional gratitude, dispositional mindfulness, dispositional resilience/hardiness, positive affectivity, trait anxiety, and the Big Five (Table 2). The most reported construct was optimism, assessed by the Life Orientation Test-Revised (LOT-R) in eleven studies [104], followed by hope measured by the Hope Scale. Four studies were identified that measured the Big Five personality traits [105] (Table 2).
Table 2.
Assessment tools for personality (self-report questionnaires).
Construct | Assessment Tool | Used in Study 1 | Total Number of Studies |
---|---|---|---|
Dispositional optimism | Life Orientation Test-Revised (LOT-R) | 3, 10, 18, 24, 38, 41, 44, 51, 59, 60, 62 | 11 |
Dispositional hope | Hope Scale (HS) | 10, 33, 41, 59, 60 | 5 |
Adult Hope Trait Scale (AHTS) | 24 | 1 | |
Dispositional gratitude | The Gratitude Questionnaire—Six Item Form (GQ-6) |
45, 66 | 2 |
Dispositional mindfulness | Mindfulness Attention Awareness Scale (MAAS) | 16, 20 | 2 |
Trait resilience/hardiness | Connor-Davidson Resilience Scale (CD-RISC-10) | 23, 25 | 2 |
Ahvaz psychological hardiness scale | 56 | 1 | |
Positive affectivity | Positive and Negative Affect Schedule (PANAS) | 17 | 1 |
Trait anxiety | State-Trait Anxiety Inventory (STAI-Y) | 28 | 1 |
Big Five | NEO Five-Factor Inventory (NEO-FFI) | 52, 58, 65 | 3 |
Big Five Inventory (BFI) | 45 | 1 | |
Ten-Item Personality Inventory (TIPI) | 23 | 1 |
1 study numbers: see Table 1.
For the assessment of coping strategies, 20 different tools were used (Table 3). Some studies reported a variety of general coping strategies. Other studies reported cancer-specific coping strategies, emotion regulation strategies, cognitive strategies, religious coping or reflective rumination. The most frequently used tools were the Brief COPE and COPE inventory [105], followed by the Ways of Coping Inventory, the Mini Mental Adjustment to Cancer scale, and the Event-related Rumination Inventory.
Table 3.
Assessment tools for coping strategies (self-reported questionnaires).
Construct(s) | Assessment Tool | Used in Study 1 | Total Number of Studies |
---|---|---|---|
Different general coping strategies | Brief COPE | 1, 2, 6, 17, 21, 22, 36, 39, 41, 44, 46, 49, 54, 55, 61, 67, 68 | 17 |
COPE inventory | 5, 23, 26, 47, 60, 64 | 6 | |
Ways of Coping Inventory (WCI) | 18, 19, 30, 48 | 4 | |
Coping responses inventory (CRI) | 40, 43 | 2 | |
Simple self-coping style (SCSQ) | 32 | 1 | |
Proactive Coping Inventory | 50 | 1 | |
Cancer-specific coping | Mini Mental Adjustment to Cancer scale | 9, 25, 34, 37 | 4 |
Cancer Coping Questionnaire (CCQ) | 8, 14 | 2 | |
Medical Coping Modes Questionnaire (MCMQ) | 29 | 1 | |
Emotion regulation | Emotion Regulation Questionnaire | 12, 45, 70 | 3 |
Emotional expression and processing scale | 26, 35 | 2 | |
Emotion Regulation scale | 11 | 1 | |
Cognitive strategies | Cognitive Processing of trauma scale (CPOTS) | 27, 42 | 2 |
Cognitive processing scale | 35 | 1 | |
Meaning-Focused Coping Questionnaire (MFCQ) | 15 | 1 | |
Cognitive Emotion Regulation Questionnaire (CERQ) | 7 | 1 | |
Religious coping | RCOPE | 53, 69 | 2 |
Reflective rumination | Event-Related Rumination Inventory (ERRI) | 4, 52, 57, 63 | 4 |
Rumination-Reflection-Questionnaire (RRQ) | 30, 58 | 2 | |
State Level Measure of Reflection and Brooding | 13 | 1 | |
Rumination scale | 31 | 1 | |
Rumination inventory | 47 | 1 |
1 study numbers: see Table 1.
3.2. Relationship of Variables with PTG
3.2.1. Relationship of Posttraumatic Growth and Personality Traits
Looking at longitudinal as well as cross-sectional studies, there were as many positive (19) as non-significant (19) relationships between PTG and different personality traits reported (Table 4). Regarding single assessed constructs, dispositional gratitude, trait resilience/hardiness, and positive affectivity seemed to be positively related to PTG. For dispositional optimism and hope, the results were mixed, but there were slightly more studies that showed a positive relationship. For trait anxiety, no significant relationship was found. Concerning the Big Five, most studies showed non-significant correlations. For extraversion and agreeableness, no associations were found. Regarding conscientiousness and openness, two studies and one study, respectively, found negative relationships(s). For neuroticism, two studies found a negative relationship. In the four longitudinal studies (Study no. 3, 44, 60, and 62), no associations between optimism and hope measured at baseline and PTGI measured at follow-up were found [37,77,93,95]. Optimism was related to the single dimension of “personal strength” after six years [95].
Table 4.
Relationships of different personality traits with the PTGI total score.
Direction of Found Relationship: Study Number 1 | |||
---|---|---|---|
Construct | Positive | Negative | n.s. |
Dispositional optimism | 3, 10, 18, 24, 51, 59 | 38, 41, 44, 60, 62 | |
Dispositional hope | 10, 33, 59 | 41, 60 | |
Dispositional gratitude | 45, 66 | ||
Dispositional mindfulness | 20 | 16 | |
Trait resilience/hardiness | 23, 25, 56 | ||
Positive affectivity | 17 | ||
Trait anxiety | 28 | ||
Big Five: Openness | 65 | 23, 52, 58 | |
Big Five: Conscientiousness | 23, 58 | 52 | |
Big Five: Extraversion | 23, 52, 58 | ||
Big Five: Agreeableness | 23, 52, 58 | ||
Big Five: Neuroticism | 23, 58 | 52, 65 |
n.s. = not significant. 1 study numbers: see Table 1.
3.2.2. Relationship of Posttraumatic Growth and Coping Strategies
Concerning coping strategies, it was difficult to assimilate the evidence as studies were very heterogenic. In total, 57 studies investigated the relationship between PTG and coping strategies. A high variety of different assessment tools was used. To facilitate the interpretation, the coping strategies were clustered into six categories. Of the 23 studies using the Brief COPE or COPE inventory, most calculated second-order-factors based on their sample. This is recommended by the developer of the scale, Carver [23], but made it impossible to compare the studies or synthesize the results. Nine studies reported relationships between total PTGI and separate Brief COPE dimensions (Table 5). For religious coping and positive reframing/reappraisal, only positive relationships were reported. For behavioral disengagement, self-blame, and venting, no significant relationship was found in any study. Two studies found a negative relationship for denial and substance use. Interestingly, the avoidant coping strategy of self-distraction was positively related to PTG in two studies and unrelated in three studies.
Table 5.
Relationships of single (Brief) COPE dimensions with the PTGI total score.
Direction of Relationship: Study Number 1 | |||
---|---|---|---|
(Brief) COPE Dimension | Positive | Negative | n.s. |
Behavioral disengagement | 2, 54, 55, 67 | ||
Self-blame | 2, 17, 49, 54, 55 | ||
Denial | 17 | 68 | 2, 49, 55, 67 |
Use of instrumental support | 2, 49, 55 | 39, 54 | |
Use of emotional support | 2, 39, 49, 55 | 54 | |
Venting | 2, 49, 54, 55 | ||
Religion | 2, 17, 54, 55 | ||
Active coping | 54, 55, 67 | 2, 39 | |
Planning | 49, 55, 67, 68 | 2, 54 | |
Self-distraction | 49, 67 | 2, 54, 55 | |
Positive reframing/reappraisal | 2, 26, 39, 55, 67 | ||
Humor | 49, 55 | 2, 54 | |
Acceptance | 67, 68 | 2, 39, 49, 54, 55 | |
Substance use | 1 | 2, 17, 54, 67 |
n.s. = not significant. 1 study numbers: see Table 1.
The studies that calculated second-order-factors of the (Brief) COPE all reported slightly different factors (Table 6). As in previously described studies, social support seeking was mostly positively associated with PTG. Approach-oriented coping strategies were mostly positively related, whereas passive coping strategies were not related to PTG. However, there was a wide variety in which dimensions were subsumed into different second-order factors. For example, self-distraction was subsumed into the second-order factor “positive coping” in one study [41] and into “emotional avoidance strategies” in another study [42]. One study that explicitly measured coping dispositionally (general coping style) and situationally (used coping strategies in the situation) found no significant relationship between dispositional coping and PTG [43].
Table 6.
Relationships of (Brief) COPE second-order factors with the PTGI total score.
Second-Order Factor | Contained (Brief) COPE Dimensions | Direction of Relationship: Study Number 1 | ||
---|---|---|---|---|
Positive | Negative | n.s. | ||
Positive attitude | NR | 23 | ||
Positive | Humor, positive reframing, acceptance | 17 | ||
Positive coping | Active coping, planning, self-distraction, positive reframing, humor, acceptance | 1 | ||
Dispositional meaning-making coping | e.g., positive reinterpretation | 5 | ||
Situational meaning-making coping | e.g., positive reinterpretation | 5 | ||
Cognitive coping | Acceptance, humor, planning and positive reframing | 22 | ||
Problem-focused coping | NR | 46 | ||
Active coping | Use of emotional support, positive reframing, active coping, planning, acceptance | 6 | ||
Active coping | Active coping, self-distraction, planning | 17 | ||
Active adaptive coping | Self-distraction, active coping, seeking emotional and instrumental support, venting, positive reframing, planning, acceptance, and turning to religion | 41 | ||
Active-adaptive coping | Self-distraction, active coping, emotional support, instrumental support, venting, positive reframing, planning, turning to religion | 44, 61 | ||
Situational active/adaptive coping | e.g., planning coping | 5 | ||
Dispositional active/adaptive coping | e.g., planning coping | 5 | ||
Adaptive coping | Active coping, planning, positive reframing | 21 (except spiritual change) | ||
Approach-oriented coping | Active coping, planning, acceptance, instrumental and emotional social support seeking | 36 | ||
Approach coping | NR | 23 | ||
Emotional engagement strategies | Active coping, positive reframing, emotional processing, acceptance, planning | 67 | ||
Emotion-focused coping | NR | 46 | ||
Emotional coping | Using instrumental support, using emotional support, venting, religion | 1 | ||
Relational | Emotional support, instrumental support, venting | 17 | ||
Social Support seeking | Seeking emotional support, seeking instrumental support | 47 | 22 | |
Social Support | NR | 23 | ||
Social support | emotional social support seeking, instrumental social support seeking | 64 | ||
Turning to religion | NR | 23 | ||
Avoidant coping | Denial, alcohol/drug use, behavioral disengagement, venting | 6 | ||
Avoidance strategies | NR | 23 | ||
Avoidance coping | NR | 46 | ||
Emotional avoidance strategies | Distraction, denial, behavioral disengagement, substance use | 67 | ||
Passive coping | Self-blame, denial, behavioral disengagement | 44, 61 | ||
Negative coping | Behavioral disengagement, self-blame, denial | 1 | ||
Maladaptive coping | Denial, alcohol/drug use, behavioral disengagement | 41 | ||
Situational maladaptive coping | e.g., denial coping | 5 | ||
Dispositional maladaptive coping | e.g., denial coping | 5 |
n.s. = not significant. NR = not reported. 1 study numbers: see Table 1.
Table 7 summarizes the associations between PTG and diverse coping strategies that were not assessed by the Brief COPE or COPE inventories. Studies that used assessment tools other than the Brief COPE or COPE inventory to measure different general coping strategies found positive associations between PTG and all different kinds of coping strategies. The Ways of Coping Inventory [106] measures coping as a process and consisted of 66 items in the original version. Some studies used translations of this questionnaire with more or fewer items than the original. All studies calculated their own factors via factor analysis, which makes it difficult to summarize the results. All factors except one were positively related to PTG.
Table 7.
Relationships of further coping strategies with the PTGI total score.
Assessment Tool | Second-Order-Factor | Direction of Relationship: Study Number 1 | ||
---|---|---|---|---|
Positive | Negative | n.s. | ||
Different General Coping Strategies | ||||
Ways of Coping Inventory (WCI) | Problem-focused coping | 18 | ||
Emotion-focused coping | 18 | |||
Problem focused/optimistic coping style | 19 | |||
Fatalistic coping | 19 | |||
Helplessness coping | 19 | |||
Comfort | 30 | |||
Seclusion | 30 | |||
Self-control | 30 | |||
Social support | 30 | |||
Responsibility acceptance | 30 | |||
Dodge–escape | 30 | |||
Problems resolution | 30 | |||
Positive reevaluation | 30 | |||
Self-restraining coping | 48 | |||
Distancing coping | 48 | |||
Positive coping | 48 | |||
Coping by depending on others | 48 | |||
Coping Responses Inventory (CRI) | Cognitive assessment focused coping | 40 | ||
Social support seeking coping | 40 | |||
Problem-solving coping | 40, 43 | |||
Emotional inhibition coping | 40 | |||
Somatic inhibition coping | 40 | |||
Approach coping | 43 | |||
Avoidance coping | 43 | |||
Proactive Coping Inventory | Proactive coping | 50 | ||
Reflective coping | 50 | |||
Strategic planning | 50 | |||
Preventive coping | 50 | |||
Instrumental support seeking | 50 | |||
Emotional support seeking | 50 | |||
Avoidance coping | 50 | |||
Simple self-coping style (SCSQ) | Positive coping style | 32 | ||
Negative coping style | 32 | |||
Cancer-specific coping | ||||
Mini Mental Adjustment to Cancer Scale (Mini-MAC) | Negative emotion coping | 25 | 37 | |
Positive attitude coping | 37 | |||
Cognitive avoidance | 9, 25, 34, 37 | |||
Hopelessness–helplessness | 9 | |||
Fatalism | 9 | |||
Anxious preoccupation | 9 | |||
Fighting spirit | 9 | |||
Positive-Acceptance coping | 25 | |||
Cancer Coping Questionnaire | Individual coping | 8, 14 | ||
Interpersonal coping | 8, 14 | |||
Medical Coping Modes Questionnaire (MCMQ) |
Confrontation coping | 12, 29 | ||
Avoidance coping | 12, 29 | |||
Acceptance-resignation | 12, 29 | |||
Emotion regulation | ||||
Emotion Regulation Scale | Expressive revealing | 11 | ||
Expressive suppression | 11 | |||
Emotion Regulation Questionnaire (ERQ) | Cognitive reappraisal of emotion | 12, 45 | ||
Expression inhibition | 12 | |||
Emotional Approach Coping Scales (EAC) | Emotional expression | 36 | ||
Emotional processing | 36 | |||
Emotional expression and processing scale | Emotional expression | 35 | ||
Emotional processing | 35 | |||
Cognitive strategies | ||||
Cognitive Processing of trauma scale (CPOTS) | Positive cognitive processing | 27, 42 | ||
Negative cognitive processing | 27 | 42 | ||
Cognitive processing scale | 35 | |||
Meaning-Focused Coping Questionnaire (MFCQ) | 15 | |||
Cognitive Emotion Regulation Questionnaire (CERQ) | Positive coping strategies | 7 | ||
Negative coping strategies | 7 | |||
Religious coping | ||||
RCOPE | Benevolent religious reappraisal (meaning) | 53 | ||
Collaborative Religious Coping (Control) | 53 | |||
Active Surrender (Control) | 53 | |||
Passive Religious Deferral (Control) | 53 | |||
Pleading for Direct Intercession (Control) | 53 | |||
Seeking Spiritual Support (Comfort) | 53 | |||
Religious Focus (Comfort) | 53 | |||
Spiritual Discontent (Comfort) | 53 | |||
Religious Helping (Intimacy) | 53 | |||
Seeking Religious Direction (Life Transformation) | 53 | |||
Negative religious coping | 69 | |||
Rumination | ||||
Rumination Scale | Cognitive rehearsal | 31 | ||
Rumination-Reflection Questionnaire (RRQ) | Dispositional reflection | 58 | ||
Deliberate/reflective rumination | 20 | 58 | ||
Event Related Rumination Inventory (ERRI) | Dispositional reflection | 58 | ||
Deliberate/reflective rumination | 4, 20, 58, 63 | 52, 57 | ||
Rumination Inventory (RI) | Deliberate rumination on benefits | 47 | ||
State Level Measure of Reflection and Brooding | Reflective rumination | 13 |
n.s. = not significant. 1 study numbers: see Table 1.
The Coping Responses Inventory and the Proactive Coping Inventory were used in only one and two studies, respectively. For the several calculated second-order factors, mostly positive associations with PTG were found. The only study using the Simple self-coping style questionnaire found a positive relationship of positive coping strategies and a negative relationship of negative coping strategies with PTG. The scales measuring cancer-specific coping created a more diverse picture: some negative coping strategies were negatively related to PTG whereas others were unrelated to PTG.
The emotion regulation strategy expressive suppression or inhibition was unrelated in two studies, and emotional processing was positively related to PTG in the two studies that investigated it. The results for emotional expression were unclear: one study found a positive and another one a negative relationship.
The results regarding cognitive processing were heterogenic as well. Many religious coping strategies seemed to be related to PTG, while some were not or were negatively related to PTG. Regarding reflective or deliberate rumination, 10 studies found positive relationships with PTG, and only three studies found non-significant relationships. The one study investigating dispositional reflection found positive relationships with two measures. In conclusion, seeking social support was positively related to PTG in all different self-report questionnaires except for seeking spiritual support.
Interesting findings of single longitudinal studies were the following: concerning the change of relationships over time, substance use was associated with a decrease in PTG 24 months after the diagnosis [35]. Using religion at the time of chemotherapy was related to PTG after two years [36]. Positive coping strategies were related to PTG after six months and two years, but not to PTG after seven years [41]. In some of the studies, single coping strategies were not related to PTG at follow-up [36,41]. Two studies found that different coping strategies were linked to different trajectories of PTG [43,94]. Some studies only found associations with single dimensions of PTG. For example, cognitive avoidance predicted the dimension “personal strength” after treatment completion [67]. Current deliberate rumination was found to be a mediator between coping at the time of the diagnosis and two dimensions of PTG [90]. One study found that, while the total approach coping score prior to bone marrow transplantation was not related to PTG after bone marrow transplantation, the total avoidance coping was positively related to PTG [76]. Finally, one study found that through strategies of social support seeking and using cognitive strategies, an increase in PTG in two dimensions led to a better quality of life and less depression six months after treatment completion [56].
4. Discussion
The aim of this review was to provide an overview of studies that assessed the relationship between coping strategies or personality traits and posttraumatic growth in patients with cancer or survivors. We first summarized the methodology of eligible studies and then categorized the reported relationships. We found a high number of studies that investigated the relationship between PTG and coping strategies and a smaller number of studies that investigated the relationship between PTG and personality factors.
Only a few personality traits have been investigated in terms of their relationship with PTG in patients with cancer or survivors to date. Regarding the Big Five personality factors, a limited number of studies investigated their relationship with PTG. Interestingly, in our synthesis, the Big Five personality traits seem unrelated to PTG. For conscientiousness, two studies found positive relationships. For openness to experience and extraversion, mostly non-significant relationships were found. Resilience, hardiness, dispositional positive affectivity, and dispositional gratitude might be key factors in the development of PTG. Optimism and hope are the two most researched variables in this context, but the results do not clearly show a positive relationship. Similar controversial results were found in a previous review in cancer patients [107]. This contradicts the findings of the original work of Tedeschi and Calhoun [5,6], who found extraversion, openness to experience, and optimism to be related. Optimism was found to have effects on PTG in a meta-analysis of mixed samples [25]. This raises the question of whether this is a unique experience in patients with cancer and survivors. Some authors describe the development of PTG itself as positive personality change [108]. On the other hand, cumulative adversity can affect personality traits such as agreeableness [109]. These two-way effects have not been investigated in any of the accumulated longitudinal studies. Personality factors such as optimism might also lead to positive psychosocial behavior change such as seeking social support [110]. In the context of psycho-oncological interventions, it could be helpful to identify individuals that are less likely to experience PTG due to their personality and support them to use positive coping strategies to make positive changes.
Most studies investigating coping strategies examined the associations cross-sectionally. The Brief COPE and COPE questionnaires were mostly used for this purpose. Most studies did not address the difference between situational and dispositional coping and only assessed situational coping. Where possible, we summarized results from all studies regarding one specific coping strategy. We found that promoting the use or seeking of social support, religious coping, and positive reframing and reflection during illness could contribute to the development of PTG. Comparing different ways of assessing coping, seeking social support was nearly consistently positively related to PTG. Moreover, religious coping and social support seeking were found to have effects on PTG in a meta-analysis of mixed samples [25]. This is also in line with the systematic reviews of Kolokotroni [28] and Rajandram [27], who conducted their studies on patients with breast cancer and oral cavity cancer, respectively. They found seeking of social support, religious coping, and reframing to be related to PTG. In contrast to these studies, we found acceptance to be rather unrelated, with mixed results for humor and active coping. We also found that individuals who used the strategies reappraisal of emotions and reflection overall, seemed to report more PTG. Interestingly, strategies that seem negative, such as denial, distraction, avoidance, suppression, self-blame, and substance use, were not related to PTG when measured via the COPE inventory or Brief COPE inventory. These often so-called “dysfunctional” or “negative” coping strategies might not be so dysfunctional when it comes to positive changes following adversity. In total, only a few studies found negative associations of PTG with any coping strategy. In summary, a practical application of these findings would be to promote seeking social support in interventions and to reduce barriers in this regard.
There are a few limitations in our review. The heterogeneous methodology of the studies in the assessment of a relationship between coping strategies and PTG, such as questionnaires and the calculation of second-order factors, made it difficult to summarize all results and to compare different samples. In particular, the data extraction concerning associations between PTG and coping strategies posed a challenge. The heterogeneous results mirror the heterogeneous methods. The strategy of conducting factor analysis within one’s own sample instead of using a given structure of a questionnaire has been endorsed by researchers who developed and validated the scales [23,111]. PTG, as well as coping strategies and personality, develops over time in response to situations [112,113,114]. Measuring these factors at one time point is thus not sufficient to explore their dynamic changes. Due to the quantity of the studies, we could not discuss the inclusion of additional confounding factors in the studies.
Future studies should report the correlations for individual dimensions in addition to the second-order factors so that a comparison with other samples is possible. Further longitudinal studies are necessary to capture the change in PTG and its influence on relationships with other variables over time. Therefore, it is necessary to assess all variables at all time points to observe the trajectories of PTG, coping strategies, and personality traits. As found in single included studies, longitudinal studies should further explore relationships with single PTG dimensions compared to the total PTGI score and the difference of relationships with personality traits or coping strategies across different types of PTG trajectories. Confounding factors should be considered and included in analyses. Few studies addressed the difference between dispositional coping and situational coping. It could be of use to differentiate between those concepts in future research. To answer the question, whether certain personality traits do not play a role in PTG in patients with cancer, further studies concentrating on these variables are necessary. It is important to note that the concept of PTG as operationalized by Tedeschi and Calhoun does not assess certain special dimensions that exist in serious illness, such as positive health behavior changes. A concentration on this original concept could thus lead to ignore other important aspects of change that are unique in the experience of cancer [110]. While we focused on quantitative studies that used the validated and often cited PTGI in our review, qualitative studies exploring other dimensions specific to cancer might complete this field of research. Another possible benefit of qualitative studies could be the assessment of coping strategies that are perceived as useful by patients with cancer and survivors themselves for positive adjustment.
This review supplements the growing body of evidence on the topic of PTG in patients with cancer and survivors. This field of research is rapidly evolving. Our results could be of use for the development of psycho-oncological interventions that should not only aim to reduce distress but also address the possible development of PTG. Enhancing PTG might even have an indirect effect on distress itself. As Shakespeare-Finch states: “…Positive and negative post-trauma outcomes can co-occur. A focus only on PTSD symptoms may limit or slow recovery and mask the potential for growth.” [14]. One aspect could be the enhancement of coping strategies that are diverse and variable and can be learned over time.
Supplementary Materials
The following supporting information can be downloaded at: https://www.mdpi.com/article/10.3390/curroncol29120754/s1, Table S1: Quality assessment via the JBI critical appraisal checklist for analytical cross-sectional studies. Table S2: Data extraction.
Author Contributions
Conceptualization, K.K. and J.G.; methodology, K.K.; validation, A.B. and J.G.; formal analysis, K.K., A.B. and J.G.; investigation, K.K., A.B. and J.G.; resources, A.S.; data curation, K.K.; writing—original draft preparation, K.K.; writing—review and editing, J.G., N.S., A.B. and A.S.; visualization, K.K.; supervision, A.S., N.S. and J.G.; project administration, K.K. All authors have read and agreed to the published version of the manuscript.
Conflicts of Interest
The authors declare no conflict of interest.
Funding Statement
This research received no external funding.
Footnotes
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.
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