Adherence to Cancer Prevention Guidelines among Older White and Black Adults in the Health ABC Study

Patterns and determinants of adherence to colorectal cancer primary and secondary prevention recommendations in the BC Generations Project

INTRODUCTION

Adherence to cancer prevention recommendations can greatly reduce colorectal cancer risk. This study explored patterns and determinants of adherence to these recommendations by participants (n = 26 074) at baseline in a cohort study in British Columbia, Canada.

METHODS

Adherence to five colorectal cancer primary prevention behaviours derived from Canadian Cancer Society/World Cancer Research Fund recommendations (nonsmoking, body mass index (BMI), physical activity, alcohol consumption and fruit and vegetable consumption) was measured, and a composite score constructed based on their sum. The definition of secondary prevention adherence was based on the Canadian Task Force on Preventive Health Care recommendations for colorectal cancer screening.

RESULTS

Adherence to primary prevention guidelines ranged from 94.8% (nonsmoking) to 44.2% (healthy BMI). Median composite score was 4. Higher composite scores were associated with being female, being married and with a higher educational attainment. Colorectal cancer screening adherence was 62.4%. Older age, chronic conditions, a recent medical examination and higher income were associated with greater odds of adherence to screening.

CONCLUSION

Adherence to some colorectal cancer prevention behaviours was high, consistent with findings that British Columbia has low rates of many risky health behaviours. However, there was a clustering of poorer adherence to prevention behaviours with each other and with other risk factors. Screening adherence was high but varied with some sociodemographic and health factors. Future work should evaluate targeted interventions to improve adherence among those in the lowest socioeconomic status and health groups. A better understanding is also needed of the barriers to access and engagement with colorectal cancer screening that persist even in the Canadian public health care system.

Factors associated with meeting cancer prevention guidelines in adults

BACKGROUND

Because much worldwide cancer incidence and mortality is related to modifiable risk factors, many global health organizations provide evidence-based recommendations on healthy weight, diet, and physical activity levels for cancer prevention. Even though adherence to such guidelines is reported to reduce cancer incidence and mortality, this adherence is often suboptimal. Identifying factors related to adherence to the guidelines can suggest interventions to improve health promoting lifestyle behaviors for cancer prevention.

OBJECTIVES

Examine a comprehensive set of potentially predictive factors in meeting American Cancer Society's guidelines for healthy weight, fruits and vegetables intake, and physical activity.

METHODS

Data used in the analysis were from adults aged 18 years and older without a history of a cancer diagnosis who participated in the Health Information National Trends Survey in 2019 (n = 3407). Multivariate logistic regression analyses were used to determine the significant predictors for meeting each of the healthy weight, fruits and vegetables intake, and physical activity guidelines.

RESULTS

Overall adherence to each guideline was low: 39.0% met the physical activity guideline, 30.4% met the healthy weight guideline, and 17.6% met the fruits and vegetables intake guideline. Meeting the healthy body weight guideline was greater in current smokers, females, those who had at least some college education, those who did not have a chronic health condition, and those who had very good self-rated health. Meeting the fruits and vegetables intake guideline was greater in females, those who had very good self-rated health, and those who talked to friends or family members regarding their health. Meeting the physical activity guideline was greater in males, those who had household incomes of at least $50,000, those who did not have a chronic health condition, and those who had very good self-rated health.

CONCLUSIONS

The current analyses identified a unique set of predictors for meeting each guideline among US adults who reported never having been diagnosed with cancer. Based on these findings, interventions related to each guideline should be especially targeted to individuals having characteristics that were less likely to meet them.

CLINICAL RELEVANCE

Findings from the current study can assist health care providers who counsel about cancer prevention in the clinical setting.

Metabolomics and cancer preventive behaviors in the BC Generations Project

Metabolomics can detect metabolic shifts resulting from lifestyle behaviors and may provide insight on the relevance of changes to carcinogenesis. We used non-targeted nuclear magnetic resonance to examine associations between metabolic measures and cancer preventive behaviors in 1319 participants (50% male, mean age 54 years) from the BC Generations Project. Behaviors were dichotomized: BMI < 25 kg/m², ≥ 5 servings of fruits or vegetables/day, ≤ 2 alcoholic drinks/day for men or 1 drink/day for women and ≥ 30 min of moderate or vigorous physical activity/day. Linear regression was used to estimate coefficients and 95% confidence intervals with a false discovery rate (FDR) of 0.10. Of the 218 metabolic measures, 173, 103, 71 and 6 were associated with BMI, fruits and vegetables, alcohol consumption and physical activity. Notable findings included negative associations between glycoprotein acetyls, an inflammation-related metabolite with lower BMI and greater fruit and vegetable consumption, a positive association between polyunsaturated fatty acids and fruit and vegetable consumption and positive associations between high-density lipoprotein subclasses with lower BMI. These findings provide insight into metabolic alterations in the context of cancer prevention and the diverse biological pathways they are involved in. In particular, behaviors related to BMI, fruit and vegetable and alcohol consumption had a large metabolic impact.