Why do men opt out of prostate‐cancer screening? Attitudes and perception among participants and non‐participants of a screening trial

Malmi, Hanna; Ruutu, Mirja; Määttänen, Liisa; Stenman, Ulf‐Håkan; Juusela, Harri; Tammela, Teuvo L.J.; Auvinen, Anssi

doi:10.1111/j.1464-410x.2010.09165.x

Cited by 9 publications

(6 citation statements)

References 21 publications

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“…Screening identified 19 relevant studies (see Figure 2 and Table 1). Of the 19 included studies, 9 measured rumination (emotional rumination: Aldridge-Gerry et al, 2011; rumination: Ciesla et al, 2011; Dvorak et al, 2011; Willem et al, 2011; Cropley et al, 2012; Adrian et al, 2014; Frone, 2015; Willem et al, 2014; angry rumination: Ciesla et al, 2011; anxious rumination: Harwell et al, 2011), 9 studies measured health-related worry (Dijkstra and Brosschot, 2003; Li et al, 2009; Malmi et al, 2010; Rutten et al, 2011; Ferrer et al, 2013a,b; Swayampakala et al, 2013; Yong et al, 2014; Bernat et al, 2015), and 2 studies measured general worry (Shoal et al, 2005; Ciesla et al, 2011). In addition, four studies measured reflection (Willem et al, 2011, 2014; Cropley et al, 2012; Adrian et al, 2014).…”

Section: Resultsmentioning

confidence: 99%

“…Health behaviors investigated were alcohol consumption (Shoal et al, 2005; Aldridge-Gerry et al, 2011; Ciesla et al, 2011; Harwell et al, 2011; Willem et al, 2011, 2014; Adrian et al, 2014; Frone, 2015), marijuana use (Shoal et al, 2005; Willem et al, 2011; Adrian et al, 2014; Willem et al, 2014), smoking behavior and cessation (Dijkstra and Brosschot, 2003; Dvorak et al, 2011; Rutten et al, 2011; Swayampakala et al, 2013; Yong et al, 2014), eating behavior (Cropley et al, 2012; Ferrer et al, 2013a,b), cancer screening uptake (Malmi et al, 2010) and levels of physical activity (Li et al, 2009; Ferrer et al, 2013b; Bernat et al, 2015). See Table 1 for a more detailed overview of the included studies.…”

Section: Resultsmentioning

confidence: 99%

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Perseverative Cognition and Health Behaviors: A Systematic Review and Meta-Analysis

Clancy

Prestwich

Caperon

et al. 2016

Front. Hum. Neurosci.

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Recent developments in stress theory have emphasized the significance of perseverative cognition (worry and rumination) in furthering our understanding of stress-disease relationships. Substantial evidence has shown that perseverative cognition (PC) is associated with somatic outcomes and numerous physiological concomitants have been identified (i.e., cardiovascular, autonomic, and endocrine nervous system activity parameters). However, there has been no synthesis of the evidence regarding the association between PC and health behaviors. This is important given such behaviors may also directly and/or indirectly influence health and disease outcomes (triggered by PC). Therefore, the aim of the current review was to synthesize available studies that have explored the relationship between worry and rumination and health behaviors (health risk: behaviors which, if performed, would be detrimental to health; health promoting: behaviors which, if performed, would be beneficial for health). A systematic review and meta-analyses of the literature were conducted. Studies were included in the review if they reported the association between PC and health behavior. Studies identified in MEDLINE or PsycINFO (k = 7504) were screened, of which 19 studies met the eligibility criteria. Random-effects meta-analyses suggested increased PC was generally associated with increased health risk behaviors but not health promoting behaviors. Further analyses indicated that increases in rumination (r = 0.122), but not reflection (r = −0.080), or worry (r = 0.048) were associated with health risk behaviors. In conclusion, these results showed that increases in PC are associated with increases in health risk behaviors (substance use, alcohol consumption, unhealthy eating, and smoking) that are driven primarily through rumination. These findings provide partial support for our hypothesis that in Brosschot et al.'s (2006) original perseverative cognition hypothesis, there may be scope for additional routes to pathogenic disease via poorer health behaviors.

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Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Perseverative Cognition and Health Behaviors: A Systematic Review and Meta-Analysis

Clancy

Prestwich

Caperon

et al. 2016

Front. Hum. Neurosci.

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“…Nevertheless, the present findings concur with those of other studies that have used quality of life questionnaires. Neither in The Rotterdam trial [ 22 ] nor in the ProtecT trial [ 23 ] and nor in the Finnish arm of the European randomized screening trial (ERSPC) [ 24 ] was health-related quality of life associated with the decision to attend PSA testing.…”

Section: Discussionmentioning

confidence: 99%

Predictors of participation in risk-based prostate cancer screening

et al. 2018

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BackgroundImplementation of risk-based prostate cancer screening has been proposed as a means to reduce the harms of PSA screening. Little is known, however, about the factors influencing men’s decision to attend a prostate cancer screening based on a risk assessment.MethodWe sent postal invitations with a login to a survey to 10.000 men, three months before invitation to a risk-based prostate cancer screening. Prostate cancer specific worry, prostate cancer-related knowledge, health behaviour, and health related quality of life were used as predictors of subsequent participation. Participation to risk-based prostate cancer screening was defined as providing a blood sample for the STHLM3 trial, a study evaluating a risk-based model that predicts the risk for aggressive prostate cancer.ResultsWith a response rate of 20%, 1.347 men (70%) participated in ensuing risk-based prostate cancer screening three months later whereas 568 men (30%) declined participation in the STHLM3-study. These decliners reported less worry and feeling less vulnerable to prostate cancer and responded “Do not know” more often than participants when asked questions about prostate cancer knowledge. Participants reported greater benefits of prostate testing (p = 0.0005), less barriers to prostate testing (p<0.0001), and higher intention to attend prostate cancer testing (p<0.0001) than decliners. Finally, participants reported better overall health than decliners (p<0.0001).ConclusionProstate cancer worry, PC knowledge, health behaviour and quality of life were identified as predictors of participation in risk-based prostate cancer screening. Targeting these predictors may improve the participation rates. These results can inform policymaking for future population-based prostate cancer screening programs that should address potential worry in men and lack of knowledge about prostate cancer.

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“…For the outcome of receiving Pap test, participants were classified by receiving Pap test <3 years versus receiving it ≥3 years (excluding never). In other words, we were investigating factors related to ‘on-time screening’ compared to ‘delayed screening.’ We excluded those who never received mammography or Pap test screening since the mechanisms and factors influencing those never receiving screening differ than those having received screening [39,40]. Women diagnosed with any form of cancer were excluded from the analyses and only women who reported not having a hysterectomy were included in the Pap test analyses [7].…”

Section: Methodsmentioning

confidence: 99%

The relationship between four health-related quality-of-life indicators and use of mammography and Pap test screening in US women

et al. 2015

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Purpose Limited evidence is available to explain the role of four components of health-related quality of life (HRQoL) on breast and cervical cancer screening. The objective of this study was to determine the relationship between four HRQoL aspects and use of mammography and Pap test screening in US women. Methods Data were obtained from the 2012 Behavioral Risk Factor Surveillance System (BRFSS). The outcome variables were receiving mammogram <2 versus ≥2 years in women aged 50-74 years, and receiving Pap test <3 versus ≥3 years in women aged 18-64 years. Eight logistic regression models were conducted to test the role of four HRQoL aspects (general health status, physical HRQoL, mental HRQoL, and activity limitation) on the two screening variables, after adjusting for covariates. Statistical analysis accounted for the complex sampling design of the BRFSS and the a priori alpha error was set at p ≤ 0.05. Results Among respondents, approximately 74% and 78% of the women received mammography and Pap test, respectively. Three HRQoL aspects (general health status, physical HRQoL, and activity limitation) were significantly associated with mammography use (all p-values<0.05), whereas two HRQoL aspects (general health status and physical HRQoL) were significantly associated with Pap test (p-values≤0.05). All significant relationships demonstrated higher cancer screening rates among individuals with better HRQoL. Conclusions HRQoL is an important factor associated with use of mammography and Pap test. Future studies should explore the mechanisms associated with an individual's HRQoL and use HRQoL assessment as an avenue to influence adherence to use of mammography and Pap tests.

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Why do men opt out of prostate‐cancer screening? Attitudes and perception among participants and non‐participants of a screening trial

Cited by 9 publications

References 21 publications

Perseverative Cognition and Health Behaviors: A Systematic Review and Meta-Analysis

Perseverative Cognition and Health Behaviors: A Systematic Review and Meta-Analysis

Predictors of participation in risk-based prostate cancer screening

The relationship between four health-related quality-of-life indicators and use of mammography and Pap test screening in US women

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