This article challenges the idea that cancer cannot be prevented among older adults by examining different aspects of the relationship between age and cancer. Although the sequential patterns of aging cannot be changed, several age-related factors that contribute to disease risk can be. For most adults, age is coincidentally associated with preventable chronic conditions, avoidable exposures, and modifiable risk behaviors that are causally associated with cancer. Midlife is a period of life when the prevalence of multiple cancer risk factors is high and incidence rates begin to increase for many types of cancer. However, current evidence suggests that for most adults, cancer does not have to be an inevitable consequence of growing older. Interventions that support healthy environments, help people manage chronic conditions, and promote healthy behaviors may help people make a healthier transition from midlife to older age and reduce the likelihood of developing cancer. Because the number of adults reaching older ages is increasing rapidly, the number of new cancer cases will also increase if current incidence rates remain unchanged. Thus, the need to translate the available research into practice to promote cancer prevention, especially for adults at midlife, has never been greater.

Aims To understand how US cancer control plans address alcohol use, an important but frequently overlooked cancer risk factor, and how many US adults are at risk. Methods We reviewed alcohol control efforts in 69 comprehensive cancer control plans in US states, tribes and jurisdictions. Using the 2011 Behavioral Risk Factor Surveillance System, we assessed the prevalence of current alcohol use among US adults and the proportion of these drinkers who exceeded guidelines for moderate drinking. Results Most comprehensive cancer control plans acknowledged alcohol use as a cancer risk factor but fewer than half included a goal, objective or strategy to address alcohol use. More than half of US adults reported current alcohol use in 2011, and two of three drinkers exceeded moderate drinking guidelines at least once in the past month. Many states that did not address alcohol use in comprehensive cancer control plans also had a high proportion of adults at risk. Conclusion Alcohol use is a common cancer risk factor in the USA, but alcohol control strategies are not commonly included in comprehensive cancer control plans. Supporting the implementation of evidence-based strategies to prevent the excessive use of alcohol is one tool the cancer control community can use to reduce the risk of cancer.

This paper provides highlights from a CDC-hosted meeting on opportunities for cancer prevention during midlife (roughly ages 45–64 years). Positive changes during this phase of life have the potential to prevent cancer incidence later in life, making this phase an opportune time for targeted prevention efforts to facilitate healthy aging and increased longevity. Risk and protective factors discussed during the meeting included exposure to radiation from medical imaging procedures, circadian disruption, chemical exposures, dietary factors, alcohol consumption, obesity, physical activity, diabetes, and the human microbiome. Although many of these factors are well recognized as being related to cancer incidence, others are not as widely recognized or have emerged as growing areas of research. Meeting participants discussed promising strategies for cancer prevention targeting this age group. Just as there are multiple determinants of cancer risk, there are likely multiple solutions. Changes to social and physical environments may facilitate healthy behaviors and minimize harmful exposures. Information shared during the meeting about health disparities in the U.S. highlighted the need to go beyond traditional approaches to cancer prevention to truly reach vulnerable populations. Partnerships are also a key component to prevention efforts; community-based and nonprofit organizations, the healthcare system, research institutions, state health departments, and federal agencies were all noted as important partners in prevention efforts. Coordinated, multi-disciplinary efforts across multiple chronic diseases may provide opportunities for synergistic effects. Further, leveraging key partnerships and existing communication channels can maximize success and facilitate timely translation of research findings into public health practice.

Aims We aimed to evaluate the association between metabolic syndrome (MetS) and long-term all-cause mortality. Methods The LIPIDOGRAM studies were carried out in the primary care in Poland in 2004, 2006 and 2015. MetS was diagnosed based on the National Cholesterol Education Program, Adult Treatment Panel III (NCEP/ATP III) and Joint Interim Statement (JIS) criteria. The cohort was divided into four groups: non-obese patients without MetS, obese patients without MetS, non-obese patients with MetS and obese patients with MetS. Differences in all-cause mortality was analyzed using Kaplan-Meier and Cox regression analyses. Results 45,615 participants were enrolled (mean age 56.3, standard deviation: 11.8 years; 61.7% female). MetS was diagnosed in 14,202 (31%) by NCEP/ATP III criteria, and 17,216 (37.7%) by JIS criteria. Follow-up was available for 44,620 (97.8%, median duration 15.3 years) patients. MetS was associated with increased mortality risk among the obese (hazard ratio, HR: 1.88 [95% CI, 1.79-1.99] and HR: 1.93 [95% CI 1.82-2.04], according to NCEP/ATP III and JIS criteria, respectively) and non-obese individuals (HR: 2.11 [95% CI 1.85-2.40] and 1.7 [95% CI, 1.56-1.85] according to NCEP/ATP III and JIS criteria respectively). Obese patients without MetS had a higher mortality risk than non-obese patients without MetS (HR: 1.16 [95% CI 1.10-1.23] and HR: 1.22 [95%CI 1.15-1.30], respectively in subgroups with NCEP/ATP III and JIS criteria applied). Conclusions MetS is associated with increased all-cause mortality risk in non-obese and obese patients. In patients without MetS obesity remains significantly associated with mortality. The concept of metabolically healthy obesity should be revised.