Mediation analysis of decisional balance, sun avoidance and sunscreen use in the precontemplation and preparation stages for sun protection

Santiago-Rivas, Marimer; Velicer, Wayne F.; Redding, Colleen A.

doi:10.1080/08870446.2015.1056791

Cited by 4 publications

(2 citation statements)

References 54 publications

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“…Thus, diet behavior consists of a total of 11 processes. Sun protection behavior consists of 15 total processes, with nine of the ten original processes (stimulus control was excluded as it is generally not relevant for sun protective behavior) and six additional processes [33][34][35]. These include: interpersonal systems control (IS; as mentioned above), health care provider (HC; awareness of health care provider's advice to protect skin from sun exposure), reducing exposure (RE; limiting exposure to sun by seeking shade or wearing clothes/hat during peak hours), regret (RG; feeling embarrassed or guilty when you get too much sun or sunburn), sunscreen use (SS; keeping and carrying sunscreen so that it is handy and ready to use when needed), and health responsibility (HT; realizing that protecting one's skin from sun exposure is part of being a healthy adult).…”

Section: Methodsmentioning

confidence: 99%

Extending Theory-Based Quantitative Predictions to New Health Behaviors

et al. 2015

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Background Traditional null hypothesis significance testing suffers many limitations and is poorly adapted to theory testing. Purpose A proposed alternative approach, called Testing Theory-based Quantitative Predictions, uses effect size estimates and confidence intervals to directly test predictions based on theory. Method This paper replicates findings from previous smoking studies and extends the approach to diet and sun protection behaviors using baseline data from a Transtheoretical Model behavioral intervention (N=5407). Effect size predictions were developed using two methods: (1) applying refined effect size estimates from previous smoking research or (2) using predictions developed by an expert panel. Results Thirteen of 15 predictions were confirmed for smoking. For diet, 7 of 14 predictions were confirmed using smoking predictions and 6 of 16 using expert panel predictions. For sun protection, 3 of 11 predictions were confirmed using smoking predictions and 5 of 19 using expert panel predictions. Conclusion Expert panel predictions and smoking-based predictions poorly predicted effect sizes for diet and sun protection constructs. Future studies should aim to use previous empirical data to generate predictions whenever possible. The best results occur when there have been several iterations of predictions for a behavior, such as with smoking, demonstrating that expected values begin to converge on the population effect size. Overall, the study supports necessity in strengthening and revising theory with empirical data.

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Section: Methodsmentioning

confidence: 99%

Extending Theory-Based Quantitative Predictions to New Health Behaviors

et al. 2015

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“…The POC that have been found to be applicable to CRC include the following skills and strategies: (1) "commitment to screening," which represents an interest in regular CRC screening; (2) "information sharing and communication," representing a tendency to discuss CRC screening with others and to seek out information about screening tests; (3) "thinking beyond oneself," placing CRC screening in a context broader than one's own direct experience, such as benefit to family; and (4) "avoids contact with health care" [14,15]. The TTM has been applied to a number of health behaviors, including mammography use, physical activity, sun avoidance, and Pap testing [14][15][16][17][18][19][20].…”

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confidence: 99%

Processes of Change for Colonoscopy: Limited Support for Use Among Navigated Latinos

Cotter

DuHamel

Schofield

et al. 2018

J. Racial and Ethnic Health Disparities

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This study assessed the role of the Processes of Change (POC), a construct of the Transtheoretical Model, in colorectal cancer (CRC) screening among Latinos. Latinos participate in CRC screening less often and are diagnosed with CRC at a later stage than whites. POC items were administered to 344 English-and Spanish-speaking Latinos at average risk for CRC who had not had a colonoscopy in the past five years and received a colonoscopy referral. POC were measured at three timepoints: following informed consent (T1) at time of referral; 2 weeks prior to scheduled colonoscopy (T2); and 1 month after scheduled colonoscopy (T3). Participants received patient navigation as part of a randomized controlled trial to promote screening colonoscopy. POC scores were examined for changes during the course of the intervention, and logistic regression models assessed the relationship between POC scores and CRC screening adherence. Total POC scores decreased between T1 and T2 (p = 0.03), but were unchanged between T1 and T3. CRC screening adherence was not significantly associated with POC scores or change in POC scores over time. The POC instrument was not found useful for predicting colonoscopy adherence among Latinos in conjunction with patient navigation. Total POC scores did not increase during a patient navigation intervention despite high colonoscopy completion rates.

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