Real-time sun protection decisions in first-degree relatives of melanoma patients

Unpacking Habit With Bayesian Mixed Models: Dynamic Approach to Health Behaviors With Interchangeable Elements, Illustrated Through Multiple Sun Protection Behaviors

Analytics for behavioral habit typically model one behavior at a time, despite the fact that habit often involves multiple cooccurring behaviors, such as food choices and physical activities, where interrelated behaviors are often equally recommended. We propose a novel Mixed-Effects Dynamic hAbit model (MEDA) to simultaneously model multiple related, habitual behaviors. As an illustrative example, MEDA was applied to real-time assessments of sun protection (sunscreen, shade, hat, and protective clothing) reported twice daily by first-degree relatives of melanoma patients who are themselves at an elevated risk of skin cancer. MEDA aims to explicate habits in sun protection under varying environmental cues (e.g., sunny and hot weather). We found consistent between-group differences (e.g., men responding to weather cues more consistently than women) and interactions between cooccurring behaviors (e.g., being in shade discourages sunscreen wearing, more so in men than women). Moreover, MEDA transcends conventional methods to address longstanding challenges-how cue to action and volitional choices differ by groups or even by individual persons. Such nuances in interrelated habitual behaviors are relevant in numerous other applications, such as recommended dietary or physical activity behaviors. These methods best inform personalized behavioral interventions targeting individual preferences for precision behavioral intervention.

Risk factors for cardiovascular mortality and melanoma-specific mortality among patients with melanoma: a SEER based study

OBJECTIVE

This study aims to identify the risk factors for cardiovascular mortality in melanoma patients.

METHODS

Data of melanoma patients were obtained from the Surveillance, Epidemiology, and End Results database. We used Person's chi-square test to assess the relationships between categorical variables. We used Kaplan-Meier test in the univariate analysis and Cox regression test for the multivariate analysis. Analyses were conducted using the SPSS software.

RESULTS

We analyzed data of 194 503 melanoma patients. Among them, 28 818 (14.8 %) died due to cardiovascular diseases. Cardiovascular-specific survival was higher in younger patients, women, married, localized disease, superficial spreading melanoma and in patients who had surgery. It was lower in patients who received chemotherapy or radiotherapy. The multivariate analysis revealed a higher risk of cardiovascular mortality in patients aged 50-64 years [hazard ratio (HR), 7.297; 95% confidence interval (CI), 6.68-7.97], patients aged ≥65 years (HR, 43.309; 95% CI, 39.706-47.240), men (HR, 1.535; 95% CI, 1.475-1.597), Blacks (HR, 1.29; 95% CI, 1.044-1.594), separated (HR, 1.286; 95% CI, 1.058-1.562), widowed (HR, 1.829; 95% CI, 1.706-1.961), patients with no or unknown history of chemotherapy (HR, 1.302; 95% CI, 1.071-1.583) or radiotherapy (HR, 1.477; 95% CI, 1.217-1.793) and patients with no surgery (HR, 1.468; 95% CI, 1.264-1.706).

CONCLUSIONS

In patients with melanoma, the risk of cardiovascular death is higher in older patients, men, Blacks, separated, widowed and patients with nodular or lentigo maligna melanoma. The risk is lower in married, patients with superficial spreading or acral lentiginous melanoma, and patients who had chemotherapy, radiotherapy or surgery.

Behavioral and Psychological Outcomes Associated with Skin Cancer Genetic Testing in Albuquerque Primary Care

Simple Summary

Genetic information is publicly available but research examining the best use of such information has not engaged diverse members of the public. We examined public reactions to melanoma genetic testing (using the melanocortin-1 receptor [MC1R] gene) in a study randomizing (like the flip of a coin) 600 diverse primary care patients to a MC1R test offer or usual care. We found that testing did not improve sun protection and skin cancer screening, nor did it lead worry to increase. However, groups less aware of their skin cancer risk, including those who thought their risk was “unlikely” at the start of the study, showed significant improvements in sun protection at three months. In conclusion, testing might be very helpful for certain people who have the most to learn about their risk, who may become motivated to protect themselves from the damaging effects of the sun as a result of skin cancer genetic testing.

Abstract

Public availability of genetic information is increasing; thus, efforts to improve diversity in basic and translational research in genomics is a top priority. Given the increasing U.S. incidence and mortality of melanoma, and the prevalence of common melanocortin-1 receptor (MC1R) gene melanoma risk variants in the general population, we examined genomic testing of MC1R for skin cancer risk in a randomized controlled trial in Albuquerque, New Mexico primary care. Participants were 48% Hispanic and were randomized 5:1 to a MC1R test invitation or usual care. We assessed 3 month sun protection, skin cancer screening, and skin cancer worry outcomes associated with testing, and key effect moderators (e.g., cancer risk perceptions, and skin cancer risk factors). Our findings indicate that the primary outcomes were unchanged by the MC1R test offer, test acceptance, and level of risk feedback. Moderator analyses showed that those with lower risk perception, and those with skin that readily tans, significantly increased their sun protection in response to higher than average risk feedback. Risk feedback did not prompt cancer worry, and average risk feedback did not erode existing sun protection. This study paves the way for the development of tailored strategies to address low skin cancer risk awareness in this understudied context of public health genomics.

Feasibility and acceptability of using an IVRS to assess decision making about sun protection

OBJECTIVE

We developed an interactive voice response system (IVRS), an automated telephone survey technology, to assess real-time decision making about sun protection. We examined the feasibility and acceptability of IVRS in this electronic health (eHealth) context.

METHODS

Melanoma patients who underwent surgery referred their first-degree relatives (FDRs) for participation. Eligible FDRs were contacted twice daily (12:30 pm; 5:00 pm) over 14 consecutive days via IVRS to complete a survey about their sun protection behaviors and decisions about those behaviors.

RESULTS

Of the 81 eligible FDRs, 69 (85%) consented to the study, and 53 (77%) completed the study. We assessed adherence with the IVRS via the number and pattern of missing survey items across all answered IVRS calls. About 80% of scheduled IVRS calls were answered (1316/1652). Most surveys (93%) of the IVRS-answered calls were completed. To examine acceptability, we analyzed the program satisfaction survey data collected at the end of the study. Most participants viewed the IVRS to be highly acceptable and easy to use.

CONCLUSIONS

These findings illustrate that use of real-time IVRS data collection regarding sun protection decision making is feasible and acceptable to higher-risk research participants and could thus be used with time and location-sensitive eHealth support to enhance sun protection decision making.

Daily Minutes of Unprotected Sun Exposure (MUSE) Inventory: Measure description and comparisons to UVR sensor and sun protection survey data

One in five US adults will be diagnosed with skin cancer. As most skin cancers are attributable to sun exposure, this risk factor is an important target for research and intervention. Most sun exposure measures assess frequency of specific sun-protection behaviors, which does not account for the use of multiple, potentially overlapping sun-protection methods. In contrast, the Daily Minutes of Unprotected Sun Exposure (MUSE) Inventory assesses sun-protection behavior during self-reported activities, providing several useful metrics, including duration of unprotected sun exposure on 17 body sites, combined to yield an overall MUSE score weighted by percent of body exposed. The present study was conducted July–September 2017, in Chicago, IL USA. For 10 days, participants (39 melanoma survivors; M_age = 58.59, 64.5% female) wore an ultraviolet radiation (UVR) sensor and completed the Daily MUSE Inventory each evening. The Sun Habits Survey was completed at the end of the study. Outdoor time reported in the MUSE Inventory significantly predicted outdoor time recorded by UVR sensors, B = 0.53, p < .001. For all sun-protection behaviors except shade, reports from the Daily MUSE Inventory (i.e., percentage of outdoor time a particular strategy was used) correlated with frequency ratings of the same strategy from the Sun Habits Survey (rs = 0.66–0.75, p < .05). In sum, the Daily MUSE Inventory corresponds with sensor and survey data, and provides a novel metric of unprotected sun exposure that will be useful for evaluating overall extent of sun exposure, including exposure on several smaller body sites that are at high risk for skin cancer.