Trends in research on energy balance supported by the National Cancer Institute

Effects of the nutrition education intervention on food security, anthropometry, and body composition in women: A randomized controlled trial

BACKGROUND

Food insecurity as a social determinant of health is associated with adverse physical health outcomes such as obesity.

AIM

This study aimed to evaluate the effects of nutrition education intervention based on the transtheoretical model (TTM) on food security, anthropometry, and body composition status.

METHODS

In this randomized controlled trial, an intervention was conducted over months (five weeks) using the TTM among 160 women aged 19-64 years. Food security status, anthropometry, and body composition were determined three times: at baseline, three months, and six months after the intervention.

RESULTS

In the intervention group, food insecurity significantly decreased before, immediately after, and six months after the intervention, these changes were significant in follow-up time and treatment effect. After six months of follow-up, the intervention group significantly decreased weight (-1.29 kg), body mass index (-0.54), and waist circumference (-3.48 cm). Although differences between the two groups were not statistically significant except in the interaction between follow-up time and intervention groups. Also, the mean of fat mass and total body water decreased in the intervention group and differences between the two groups were statistically significant in follow-up time (p < 0.001 and p = 0.01, respectively) and interaction between follow-up time and intervention group (p < 0.001 and p = 0.005, respectively).

CONCLUSION

In the current study, the findings of a six-month TTM-based intervention among women were positive that revealed to be a strategy that may improve anthropometric and nutritional status. Therefore, government programs that offer nutrition counseling should be prioritized to help the population to improve their eating habits.

Communication research at the National Cancer Institute, 2013-2019: a grant portfolio analysis

PURPOSE

To analyze communication-focused grants funded by the National Cancer Institute (NCI) between fiscal years 2013 and 2019 to provide insight into the characteristics of funded projects and identify promising areas for future research.

METHODS

iSearch, a portfolio analysis tool, was queried to identify communication-related grants funded by NCI. Abstracts and specific aims were coded for key study characteristics. 344 unique competing grants with a substantial communication component were included in the final analysis. SAS version 9.4 was used to calculate code frequencies.

RESULTS

Most communication grants focused on cancer prevention (n = 197), with fewer targeting diagnosis, treatment, survivorship, or end-of-life. Tobacco product use was the most frequently addressed topic (n = 128). Most grants targeted or measured outcomes at the individual (n = 332) or interpersonal level (n = 127). Cancer patients/survivors (n = 101) and healthcare providers (n = 63) were often the population of focus, while caregivers or those at increased risk for cancer received less attention. Studies were often based in healthcare settings (n = 125); few studies were based in schools or worksites. Many grants employed randomized controlled trials (n = 168), but more novel methods, like optimization trials, were uncommon.

CONCLUSION

NCI's support of health communication research covers a diverse array of topics, populations, and methods. However, the current analysis also points to several promising opportunities for future research, including efforts focused on communication at later stages of the cancer control continuum and at multiple levels of influence, as well as studies that take advantage of a greater diversity of settings and leverage novel methodological approaches.

Diet and Physical Activity Prevention Research Supported by the U.S. NIH From 2012-2017

INTRODUCTION

Poor diet and inadequate physical activity are common contributors to preventable death in the U.S. This paper provides a summary of the NIH-sponsored research on disease prevention that underlies public health and clinical recommendations to improve diet and physical activity.

METHODS

A representative sample (n=11,082) of research grants and cooperative agreements (research projects) representing the NIH prevention research portfolio between 2012 and 2017 were hand coded by trained analysts in 2017-2018. This manuscript describes the rationale(s), exposure(s), outcome(s), population(s), and study design(s) in prevention research focused on diet and physical activity and compares this research to identified research gaps in the field.

RESULTS

A relatively stable 7.8% (95% CI=7.0%, 8.8%) and 5.0% (95% CI=4.4%, 5.7%) of the NIH prevention research projects were focused on diet and physical activity, respectively, during 2012-2017. These projects often explored diet and physical activity together in the context of obesity, included observational studies, and focused on a general adult population. Few of these projects focused on development of improved assessment methods. Approximately 50% of these studies were related to research gaps identified by the 2015 Dietary or 2018 Physical Activity Guidelines Advisory Committee Scientific Reports.

CONCLUSIONS

Opportunities exist for more engagement by NIH and scientific investigators in diet- and physical activity-focused prevention research, particularly around assessment and known research gaps.

The FLASHE Study: Survey Development, Dyadic Perspectives, and Participant Characteristics

The National Cancer Institute developed the Family Life, Activity, Sun, Health, and Eating (FLASHE) Study to examine multiple cancer preventive behaviors within parent-adolescent dyads. The purpose of creating FLASHE was to enable the examination of physical activity, diet, and other cancer preventive behaviors and potential correlates among parent-adolescent dyads. FLASHE surveys were developed from a process involving literature reviews, scientific input from experts in the field, cognitive testing, and usability testing. This cross-sectional, web-based study of parents and their adolescent children (aged 12-17 years) was administered between April and October 2014. The nationwide sample consisted of 1,573 parent-adolescent dyads (1,699 parents and 1,581 adolescents) who returned all FLASHE surveys. FLASHE assessed parent and adolescent reports of several intrapersonal and interpersonal domains (including psychosocial variables, parenting, and the community and home environments). On a subset of example FLASHE items across these domains, responses of parents and adolescents within the same dyads were positively and significantly correlated (r =0.32-0.63). Analyses were run in 2015-2016. FLASHE data present multiple opportunities for studying research questions among individuals or dyads, including the ability to examine similarity between parents and adolescents on many constructs relevant to cancer preventive behaviors. FLASHE data are publicly available for researchers and practitioners to help advance research on cancer preventive health behaviors.

"Obesity is the New Major Cause of Cancer": Connections Between Obesity and Cancer on Facebook and Twitter

Social media interactions can inform public health risk perceptions. While research has examined the risk relationships between obesity and cancer, public attitudes about their associations remain largely unknown. We explored how these constructs were discussed together on two social media platforms. Publicly accessible Facebook and Twitter posts from a 2-month period in 2012 containing references to obesity ("obese/obesity," "overweight," and "fat") and cancer-related words were extracted (N = 3702 posts). Data cleaning yielded a final set of 1382 posts (Facebook: N = 291; Twitter: N = 1091). Using a mixed-methods approach, themes were inductively generated, and sentiment valence, structural elements, and epistemic stance were coded. Seven relational themes emerged: obesity is associated with cancer (n = 389), additional factors are associated with both obesity and cancer (n = 335), obesity causes cancer (n = 85), cancer causes obesity (n = 6), obesity is not linked to cancer (n = 13), co-occurrence (n = 492), and obesity is valued differently than cancer (n = 60). Fifty-nine percent of posts focused on an associative or causal link between obesity and cancer. Thirty-one percent of posts contained positive and/or negative sentiment. Facebook was more likely to contain any sentiment, but Twitter contained proportionately more negative sentiment. Concurrent qualitative analysis revealed a dominance of individual blame for overweight/obese persons and more support and empathy for cancer survivors. Our study reflects wide recognition of the evidence linking obesity to increased risk of cancer, a diverse set of factors perceived to be dually associated with both conditions and differing attribution of responsibility. We demonstrate that social media monitoring can provide an important gauge of public health risk perception.

Household food insecurity as a determinant of overweight and obesity among low-income Hispanic subgroups: Data from the 2011-2012 California Health Interview Survey

An estimated 78% of Hispanics in the United States (US) are overweight or obese. Household food insecurity, a condition of limited or uncertain access to adequate food, has been associated with obesity rates among Hispanic adults in the US. However, the Hispanic group is multi-ethnic and therefore associations between obesity and food insecurity may not be constant across Hispanic country of origin subgroups. This study sought to determine if the association between obesity and food insecurity among Hispanics is modified by Hispanic ancestry across low-income (≤200% of poverty level) adults living in California. Data are from the cross-sectional 2011-12 California Health Interview Survey (n = 5498). Rates of overweight or obesity (BMI ≥ 25), Calfresh receipt (California's Supplemental Nutrition Assistance Program), and acculturation were examined for differences across subgroups. Weighted multiple logistic regressions examined if household food insecurity was significantly associated with overweight or obesity and modified by country of origin after controlling for age, education, marital status, country of birth (US vs. outside of US), language spoken at home, and Calfresh receipt (P < .05). Significant differences across subgroups existed for prevalence of overweight or obesity, food security, Calfresh receipt, country of birth, and language spoken at home. Results from the adjusted logistic regression models found that food insecurity was significantly associated with overweight or obesity among Mexican-American women (β (SE) = 0.22 (0.09), p = .014), but not Mexican-American men or Non-Mexican groups, suggesting Hispanic subgroups behave differently in their association between food insecurity and obesity. By highlighting these factors, we can promote targeted obesity prevention interventions, which may contribute to more effective behavior change and reduced chronic disease risk in this population.

Genetic GIScience: Toward a Place-Based Synthesis of the Genome, Exposome, and Behavome

The exposome, defined as the totality of an individual's exposures over the life course, is a seminal concept in the environmental health sciences. Although inherently geographic, the exposome as yet is unfamiliar to many geographers. This article proposes a place-based synthesis, genetic geographic information science (Genetic GISc) that is founded on the exposome, genome+ and behavome. It provides an improved understanding of human health in relation to biology (the genome+), environmental exposures (the exposome), and their social, societal and behavioral determinants (the behavome). Genetic GISc poses three key needs: First, a mathematical foundation for emergent theory; Second, process-based models that bridge biological and geographic scales; Third, biologically plausible estimates of space-time disease lags. Compartmental models are a possible solution; this article develops two models using pancreatic cancer as an exemplar. The first models carcinogenesis based on the cascade of mutations and cellular changes that lead to metastatic cancer. The second models cancer stages by diagnostic criteria. These provide empirical estimates of the distribution of latencies in cellular states and disease stages, and maps of the burden of yet to be diagnosed disease. This approach links our emerging knowledge of genomics to cancer progression at the cellular level, to individuals and their cancer stage at diagnosis, to geographic distributions of cancer in extant populations. These methodological developments and exemplar provide the basis for a new synthesis in health geography: genetic geographic information science.

Recommendations for Obesity Clinical Trials in Cancer Survivors: American Society of Clinical Oncology Statement

Observational evidence has established a relationship between obesity and cancer risk and outcomes. Interventional studies have demonstrated the feasibility and benefits of lifestyle change after cancer diagnosis, and guidelines recommend weight management and regular physical activity in cancer survivors; however, lifestyle interventions are not a routine part of cancer care. The ASCO Research Summit on Advancing Obesity Clinical Trials in Cancer Survivors sought to identify the knowledge gaps that clinical trials addressing energy balance factors in cancer survivors have not answered and to develop a roadmap for the design and implementation of studies with the potential to generate data that could lead to the evidence-based incorporation of weight management and physical activity programs into standard oncology practice. Recommendations highlight the need for large-scale trials evaluating the impact of energy balance interventions on cancer outcomes, as well as the concurrent conduct of studies focused on dissemination and implementation of interventions in diverse populations of cancer survivors, including answering critical questions about the degree of benefit in key subgroups of survivors. Other considerations include the importance of incorporating economic metrics into energy balance intervention trials, the need to establish intermediate biomarkers, and the importance of integrating traditional and nontraditional funding sources. Establishing lifestyle change after cancer diagnosis as a routine part of cancer care will require a multipronged effort to overcome barriers related to study development, funding, and stakeholder engagement. Given the prevalence of obesity and inactivity in cancer survivors in the United States and elsewhere, energy balance interventions hold the potential to reduce cancer morbidity and mortality in millions of patients, and it is essential that we move forward in determining their role in cancer care with the same care and precision used to test pharmacologic and other interventions.

Grasping the 'teachable moment': time since diagnosis, symptom burden and health behaviors in breast, colorectal and prostate cancer survivors

BACKGROUND

A cancer diagnosis may provide a 'teachable moment' in cancer recovery. To better understand factors influencing lifestyle choices following diagnosis, we examined associations between time since diagnosis and symptom burden with recommended dietary (e.g., five or more fruit/vegetable servings/day), physical activity (e.g., >150 active min, 3-5 times/week), and smoking behaviors (i.e., eliminate tobacco use) in cancer survivors.

METHODS

We analyzed cross-sectional survey data collected from breast (n = 528), colorectal (n = 106), and prostate (n = 419) cancer survivors following active treatment at The University of Texas MD Anderson Cancer Center. Four regression models were tested for behaviors of interest. Additionally, we assessed symptom burden as a potential moderator and/or mediator between time since diagnosis and behaviors.

RESULTS

Respondents were mostly female (55%) and non-Hispanic White (68%) with a mean age of 62.8 ± 11.4 years and mean time since diagnosis of 4.6 ± 3.1 years. In regression models, greater time since diagnosis predicted lower fruit and vegetable consumption (B = -0.05, p = 0.02) and more cigarette smoking (B = 0.06, p = 0.105). Greater symptom burden was a significant negative predictor for physical activity (B = -0.08, p < .001). We did not find evidence that symptom burden moderated or mediated the association between time since diagnosis and health behaviors.

CONCLUSION

We assessed the prevalence of recommended behaviors in the context of other challenges that survivors face, including time since diagnosis and symptom burden. Our results provide indirect evidence that proximity to a cancer diagnosis may provide a teachable moment to improve dietary and smoking behaviors and that symptom burden may impede physical activity following diagnosis. Copyright © 2015 John Wiley & Sons, Ltd.