Addressing differences in cancer: a framework for synergistic programming in cancer prevention and control.

Background: Cancer remains a leading cause of death worldwide and continues to disproportionately impact certain populations. Several frameworks have been developed that illustrate the multiple determinants of cancer. Expanding upon the work of others, we present an applied framework for cancer prevention and control designed to help clinicians, as well as public health practitioners and researchers, better address differences in cancer outcomes. Methods: The framework was developed by the Cancer Prevention and Control Research Network's Health Behaviors Workgroup. An initial framework draft was developed based on workgroup discussion, public health theory, and rapid literature review on the determinants of cancer. The framework was refined through interviews and focus groups with Federally Qualified Health Center providers (n=2) and cancer patients (n=2); participants were asked to provide feedback on the framework's causal pathways, completeness, and applicability to their work and personal life. Results: The framework provides an overview of the relationships between sociodemographic inequalities, social and structural determinants, and key risk factors associated with cancer diagnosis, survivorship, and cancer morbidity and mortality across the lifespan. The framework emphasizes how health-risk behaviors like cigarette smoking interact with psychological, psychosocial, biological, and psychosocial risk factors, as well as healthcare-related behavior and other chronic diseases. Importantly, the framework emphasizes addressing social and structural determinants that influence health behaviors to reduce the burden of cancer and improve health equity. Aligned with previous theory, our framework underscores the importance of addressing co-occurring risk factors and disease states, understanding the complex relationships between factors that influence cancer, and assessing how multiple forms of inequality or disadvantage intersect to increase cancer risk across the lifespan. Conclusions: This paper presents an applied framework for cancer prevention and control to address cancer differences. Because the framework highlights determinants and factors that influence cancer risk at multiple levels, it can be used to inform the development, implementation, and evaluation of interventions to address cancer morbidity and mortality.

Development and cross-validation of a prediction equation for estimating resting energy expenditure in healthy African-American and European-American women.

OBJECTIVE: To develop, validate, and cross-validate a formula for predicting resting energy expenditure (REE) in African-American and European-American women. DESIGN: A cross-sectional study of REE in women. Participants were randomly assigned to one of two groups. One group served to develop and validate a new equation for predicting REE while the second was used to cross-validate the prediction equation. The accuracy of the equation was compared to several existing formulae. SETTING: University metabolic laboratory, Memphis, TN, USA. SUBJECTS: Healthy, premenopausal African-American and European-American women between 18 and 39 y of age. The validation sample included 239 women (age: 28.4 y, wt: 70.7 kg, body mass index (BMI): 25.2 kg/m(2), REE: 5840 kJ/day), while the cross-validation sample consisted of 232 women (age: 27.5 y, wt: 70.7 kg, BMI: 25.2 kg/m(2), REE: 5784 kJ/day). RESULTS: The prediction equation derived from the current sample, which included adjustments for ethnicity, was the only formula that demonstrated a high level of accuracy for predicting REE in both African-American and European-American women. The mean difference between REE predicted from the new formula and measured REE was 28 kJ/day (s.d.=668) for European-American women and 142 kJ/day (s.d.=584) for African-American women. CONCLUSIONS: Previous equations for predicting energy needs may not be appropriate for both African-American and European-American women due to ethnic differences in REE. A new equation that makes adjustments in predicted REE based on ethnicity is recommended for determining energy needs in these groups (Predicted REE (kJ/day)=616.93-14.9 (AGE (y))+35.12 (WT (kg))+19.83 (HT (cm))-271.88 (ETHNICITY: 1=African American; 0=European American)). SPONSORSHIP: Support for this study was provided by Grant #HL53261 from the National Heart, Lung, and Blood Institute.

"Start to stop": results of a randomised controlled trial of a smoking cessation programme for teens.

OBJECTIVE: To examine the feasibility, acceptability, and effectiveness of a school based smoking cessation programme among students caught smoking at school. DESIGN: A randomised controlled trial comparing cessation rates among students in a behavioural cessation programme and those receiving self help materials only. SETTING: Eighteen schools in the Memphis, Tennessee area. SUBJECTS: Two hundred and sixty one adolescent cigarette smokers (166 male, 95 female) averaging 15.8 years of age. INTERVENTION: Students assigned to the intervention received a four session behavioural treatment programme administered individually by a health educator. In addition, these students received stage matched intervention in brief phone calls monthly until the one year follow up. MAIN OUTCOME MEASURE: Self reported and biochemically verified smoking cessation at post-test and 12 month follow up. RESULTS: Recruiting students who were caught smoking at school proved to be highly successful. Participants rated the programme favourably, and retention rates were high. Although treated participants improved more in tobacco related knowledge relative to controls (p = 0.002), there were no group differences in changes in attitudes toward smoking. In addition, treated and control participants demonstrated no significant differences in cessation rates both at post-test and follow up. Comparisons between self reported cessation rates and those obtained under bogus pipeline conditions or with biochemical verification suggested significant falsification of cessation among participants. CONCLUSIONS: Our results failed to demonstrate any significant effect of the cessation programme on smoking rates for treated adolescents compared with controls. Our findings also highlight the importance of utilising strong methodology in research on adolescent smoking cessation, including control groups and biochemical verification of smoking status.

Differences in resting energy expenditure between black and white smokers: implications for postcessation weight gain.

OBJECTIVE: To examine differences in resting energy expenditure (REE) between black and white smokers in order to determine whether REE might contribute to postcessation weight gain. DESIGN: Cross-sectional and prospective investigation of ethnic differences in REE. Differences in REE between black and white smokers were examined at baseline while all participants were smoking, and again during 2 weeks of abstinence from smoking. SETTING: Memphis, Tennessee, USA. SUBJECTS: Sixty-six black and 112 white smokers (age 30.4 y; cigarettes per day 21.4; weight 71.7 kg; body mass index 24.5 kg/m2). RESULTS: Black smokers had a significantly lower baseline REE after adjusting for gender and body weight. Changes in REE following smoking cessation did not differ by ethnicity. CONCLUSIONS: These results suggest that black smokers may be more energy efficient, which could contribute to ethnic differences in postcessation weight gain.