Personality Factors in Colorectal Cancer: A Systematic Review

Galli, Federica; Scotto, Ludovica; Ravenda, Simona Paola; Zampino, Maria Giulia; Pravettoni, Gabriella; Mazzocco, Ketti

doi:10.3389/fpsyg.2021.590320

Cited by 8 publications

(7 citation statements)

References 60 publications

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“…Stress levels remained the most signi cant risk factor in distinguishing the three latent classes in our study. This result is consistent with previous studies, showing a signi cant relationship between stress and psychological distress in cancer survivors [14,44,45]. Further, the association between stress levels and the latent class membership was strongest between Class 3 and Class 1 (Table 5), indicating potential roles of stress in cognitive impairment and somatic symptoms [14,44,45].…”

Section: Discussionsupporting

confidence: 92%

“…This result is consistent with previous studies, showing a signi cant relationship between stress and psychological distress in cancer survivors [14,44,45]. Further, the association between stress levels and the latent class membership was strongest between Class 3 and Class 1 (Table 5), indicating potential roles of stress in cognitive impairment and somatic symptoms [14,44,45]. Social support may alleviate the symptom burden by reducing stress levels [14,44,45].…”

Section: Discussionsupporting

confidence: 92%

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Latent class symptom profiles of colorectal cancer survivors with cancer-related cognitive impairment

Han,

Saligan,

Crouch

et al. 2023

Support Care Cancer

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Purpose. Colorectal cancer (CRC) survivors experience cancer-related cognitive impairment and cooccurring symptoms after cancer treatments. There has been little data to inform the risk factors of complex symptom phenotypes in CRC survivors.Objectives.To determine if subgroups of CRC survivors after cancer treatments could be identi ed based on the cognitive impairment and common co-occurring symptoms (depression, anxiety, sleep disturbance, fatigue, and pain); and to explore risk factors (sociodemographic and clinical characteristics, perceived stress, and social support) of these subgroups.Methods. Latent class pro le analysis (LCPA) was used to identify subgroups based on self-reported symptoms in 64 CRC survivors. Cognitive impairment was measured by assessing subjective cognitive function using the Patient-Reported Outcome Measurement Information System (PROMIS) measure. The Kruskal-Wallis test and regression analyses were performed.Results.Three distinct latent classes were identi ed (Class 1: All Low '28.1%'; Class 2: High Psychological Symptoms (depression/anxiety) '25%'; Class 3: High Somatic Symptoms (fatigue, sleep disturbance, and pain) with High Cognitive Impairment'46.9%'). Pain was the most distinguishable symptom across the latent classes. The high symptom burden group was associated with less time since cancer diagnosis, higher perceived stress levels, and poor emotional social support. Conclusion.Our study adds to the information on interindividual variability in symptom experience of CRC survivors with cognitive impairment. Findings suggest a need for increased attention to screening for cooccurring symptoms (e.g., high pain) and future interventions focused on stress management and social supports.Participants who agreed and signed online consent and HIPAA forms provided their contact information.Participants were then prompted to complete online questionnaires via a secure encrypted RedCap database. Following survey completion, an online gift card was sent to the participant's email. For this secondary analysis, we included CRC survivors, excluding those with: (1) stage IV CRC cancer at the time of consenting; and (2) inability to read and understand English to complete survey questionnaires. MeasuresSociodemographic and clinical characteristics. Sociodemographic, medical, and treatment data were collected via a self-report online questionnaire, including age at diagnosis and current age at data collection, marital status, education, income, race/ethnicity, speci c comorbid conditions, number of comorbidities, diagnosis date and stage, and types of cancer treatments. Cognitive impairment and common co-occurring symptoms Cognitive Impairment, Depression, Anxiety, Fatigue, and Sleep Disturbance. We used the Patient-Reported Outcome Measurement Information System (PROMIS) short-form subscales, each containing 8 items (a 5-point Likert scale "1 = not at all" to "5 = very much.") version 2.0 for Cognitive Function [20], and version 1.0 for Depression [21], Anxiety [21], Fatigue [22], and Sleep Dis...

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Section: Discussionsupporting

confidence: 92%

Section: Discussionsupporting

confidence: 92%

Latent class symptom profiles of colorectal cancer survivors with cancer-related cognitive impairment

Han,

Saligan,

Crouch

et al. 2023

Support Care Cancer

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“…The influence of psychological factors on the incidence of CRC has been explored in a few studies with uncertain results [ 111 - 113 ]. Although previous studies have focused on the effects of cancer on mental health instead of the reverse [ 114 ], we did find several mental health factors contribute to a higher risk of CRC in the Chinese population.…”

Section: Discussionmentioning

confidence: 99%

National and subnational incidence, mortality and associated factors of colorectal cancer in China: A systematic analysis and modelling study

Xu,

Zhao,

et al. 2023

J Glob Health

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Background Due to their known variation by geography and economic development, we aimed to evaluate the incidence and mortality of colorectal cancer (CRC) in China over the past decades and identify factors associated with CRC among the Chinese population to provide targeted information on disease prevention. Methods We conducted a systemic review and meta-analysis of epidemiolocal studies on the incidence, mortality, and associated factors of CRC among the Chinese population, extracting and synthesising data from eligible studies retrieved from seven global and Chinese databases. We pooled age-standardised incidence rates (ASIRs) and mortality rates (ASMRs) for each province, subregion, and the whole of China, and applied a joinpoint regression model and annual per cent changes (APCs) to estimate the trends of CRC incidence and mortality. We conducted random-effects meta-analyses to assess the effect estimates of identified associated risk factors. Results We included 493 articles; 271 provided data on CRC incidence or mortality, and 222 on associated risk factors. Overall, the ASIR of CRC in China increased from 2.75 to 19.39 (per 100 000 person-years) between 1972 and 2019 with a slowed-down growth rate (APC 1 = 5.75, APC 2 = 0.42), while the ASMR of CRC decreased from 12.00 to 7.95 (per 100 000 person-years) between 1974 and 2020 with a slight downward trend (APC = -0.89). We analysed 62 risk factors with synthesized data; 16 belonging to the categories of anthropometrics factors, lifestyle factors, dietary factors, personal histories and mental health conditions were graded to be associated with CRC risk among the Chinese population in the meta-analysis limited to the high-quality studies. Conclusions We found substantial variation of CRC burden across regions and provinces of China and identified several associated risk factors for CRC, which could help to guide the formulation of targeted disease prevention and control strategies. Registration PROSPERO: CRD42022346558.

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“…Over the last few decades, interest in the contribution of patient characteristics on cancer onset, treatment, and management as well as the ability to cope with cancer have widely increased [16][17][18]. Higher levels of resilience have been described in patients of younger age, female sex, and higher socioeconomic status as well as those who are married [12][13][14].…”

Section: Sociodemographic and Psychological Characteristics In Cancer...mentioning

confidence: 99%

Predicting Effective Adaptation to Breast Cancer to Help Women BOUNCE Back: Protocol for a Multicenter Clinical Pilot Study

Pettini¹,

Sanchini²,

Pat‐Horenczyk³

et al. 2022

JMIR Res Protoc

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Background Despite the continued progress of medicine, dealing with breast cancer is becoming a major socioeconomic challenge, particularly due to its increasing incidence. The ability to better manage and adapt to the entire care process depends not only on the type of cancer but also on the patient’s sociodemographic and psychological characteristics as well as on the social environment in which a person lives and interacts. Therefore, it is important to understand which factors may contribute to successful adaptation to breast cancer. To our knowledge, no studies have been performed on the combination effect of multiple psychological, biological, and functional variables in predicting the patient’s ability to bounce back from a stressful life event, such as a breast cancer diagnosis. Here we describe the study protocol of a multicenter clinical study entitled “Predicting Effective Adaptation to Breast Cancer to Help Women to BOUNCE Back” or, in short, BOUNCE. Objective The aim of the study is to build a quantitative mathematical model of factors associated with the capacity for optimal adjustment to cancer and to study resilience through the cancer continuum in a population of patients with breast cancer. Methods A total of 660 women with breast cancer will be recruited from five European cancer centers in Italy, Finland, Israel, and Portugal. Biomedical and psychosocial variables will be collected using the Noona Healthcare platform. Psychosocial, sociodemographic, lifestyle, and clinical variables will be measured every 3 months, starting from presurgery assessment (ie, baseline) to 18 months after surgery. Temporal data mining, time-series prediction, sequence classification methods, clustering time-series data, and temporal association rules will be used to develop the predictive model. Results The recruitment process stared in January 2019 and ended in November 2021. Preliminary results have been published in a scientific journal and are available for consultation on the BOUNCE project website. Data analysis and dissemination of the study results will be performed in 2022. Conclusions This study will develop a predictive model that is able to describe individual resilience and identify different resilience trajectories along the care process. The results will allow the implementation of tailored interventions according to patients’ needs, supported by eHealth technologies. Trial Registration ClinicalTrials.gov NCT05095675; https://clinicaltrials.gov/ct2/show/NCT05095675 International Registered Report Identifier (IRRID) DERR1-10.2196/34564

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Personality Factors in Colorectal Cancer: A Systematic Review

Cited by 8 publications

References 60 publications

Latent class symptom profiles of colorectal cancer survivors with cancer-related cognitive impairment

Latent class symptom profiles of colorectal cancer survivors with cancer-related cognitive impairment

National and subnational incidence, mortality and associated factors of colorectal cancer in China: A systematic analysis and modelling study

Predicting Effective Adaptation to Breast Cancer to Help Women BOUNCE Back: Protocol for a Multicenter Clinical Pilot Study

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