Breast cancer survivors with pain: an examination of the relationships between body mass index, physical activity, and symptom burden.

PURPOSE: Overweight and obesity are common for breast cancer survivors and associated with high symptom burden (i.e., pain, fatigue, depressive symptoms). Physical activity may protect breast cancer survivors with higher body mass indexes (BMI) from increased symptoms. However, the role of physical activity in buffering the relationship between higher BMI and greater symptoms is unclear. METHODS: Baseline data from a randomized trial investigating Pain Coping Skills Training among breast cancer survivors (N = 327) with pain were used to examine the relationship between self-reported BMI (kg/m2) and physical activity level (Rapid Assessment of Physical Activity; suboptimal vs. optimal) with pain (Brief Pain Inventory; severity and interference), fatigue (PROMIS-Fatigue short form), and depressive symptoms (Center for Epidemiological Studies Depression Scale). Analyses were conducted in SPSS. Hayes PROCESS macro (Model 1) assessed whether physical activity moderated the relationship between BMI and symptoms. RESULTS: Lower BMI (B = .06, p < .01) and optimal physical activity (B = - .69, p < .01) were independently associated with lower pain interference. Lower BMI was also associated with lower pain severity (B = .04, p < .001). Neither BMI nor physical activity was associated with fatigue or depressive symptoms. Physical activity did not moderate the relationship between BMI and symptoms. CONCLUSIONS: Among breast cancer survivors experiencing pain, higher BMI and being less physically active were related to greater pain (i.e., severity and/or interference). Physical activity did not buffer the relationships between BMI and pain, fatigue, and depressive symptoms, suggesting that physical activity alone may not be sufficient to influence the strength of the relationships between BMI and symptoms.

The degree of engagement of overweight/obese adult women in the recommended activities of the Chilean "Vida Sana" program is directly correlated with its effectiveness.

INTRODUCTION: Introduction: the Chilean Ministry of Health implements the Vida Sana (VS) program with the objective of reducing risk factors for chronic diseases in overweight/obese (OW/OB) individuals, aged 2-64. Objective: to determine the effectiveness of VS in OW/OB women (20-44 yrs) in terms of their engagement in the recommended activities. These consist of participating in a minimum number each of three core activities (psychologist consultations, lifestyle workshops, and physical activity sessions) during 6 months, to obtain a 5 % weight loss and improved physical fitness (PF). Methods: a retrospective study involving secondary analyses of the 2017 VS database (n = 5,179 OW/OB women). We determined effectiveness by: a) comparing changes in weight and PF in participants who achieved one or both outcomes, using t-tests and tests of proportions, and b) assessing the probability of achieving the program´s goal, according to participation in 1, 2, or 3 core activities, individually and jointly, using the OR (95 % CI) and trend analysis. Results: around 32 %, 88 %, and 29 % of women achieved 5 % weight loss, improved PF, and both, respectively. The high percentage of women who improved PF was due to a permissive criterion. Although 20 % of women attained the program´s goal with 0 engagement, among participants, the ORs (95 % CI) for achieving the program´s goal when engaging in 1, 2, or 3 core activities were 1.55 (CI 1.2-2.03), 2.34 (1.76-3.11), and 3.5 (2.21-5.53), respectively. Conclusion: effectiveness parallels degree of engagement in the recommended activities of VS. A characterization of a program´s participation rate is crucial for improving its effectiveness.

INTRODUCCIÓN: Introducción: el objetivo del programa chileno Vida Sana (VS) es reducir los factores de riesgo de enfermedades crónicas en personas de 2-64 años con sobrepeso/obesidad (SP/OB). Objetivo: determinar la efectividad del programa VS en mujeres SP/OB (20-44 años) a través de su participación en cada una de las actividades recomendadas (consultas con psicólogo, talleres y actividad física) durante 6 meses, para lograr perder un 5 % de peso y mejorar la condición física (CF). Métodos: estudio retrospectivo con análisis secundario de la base de datos VS de 2017 (n = 5179 mujeres SP/OB). Se determinó la efectividad: a) comparando los cambios en el peso y la CF de las participantes que lograron uno o ambos resultados, usando el test de la "t" y el de proporciones; b) evaluando la probabilidad de lograr el objetivo de acuerdo con la participación en 1, 2 o 3 actividades, de manera individual y conjunta, calculando los OR (IC 95 %) y el análisis de tendencias. Resultados: el 32 %, 88 % y 29 % de las mujeres perdieron un 5 % de peso, mejoraron la CF o consiguieron ambas cosas, respectivamente. El alto porcentaje que mejoró la CF se debió a un criterio permisivo. Aunque el 20 % de las mujeres lograron el objetivo del programa con una participación "0", los OR (IC del 95 %) de lograr el objetivo al participar en 1, 2 o 3 de las actividades fueron de 1,55 (IC: 1,2-2,03), 2,34 (IC: 1,76-3,11) y 3,5 (IC: 2,21-5,53), respectivamente. Conclusión: la efectividad del programa VS se asocia directamente con el grado de participación en las actividades. Caracterizar la participación de un programa es clave para mejorar su efectividad.

The effect of Medicaid status on weight loss, hospital length of stay, and 30-day readmission after laparoscopic Roux-en-Y gastric bypass surgery.

BACKGROUND: Patients with Medicaid are much less likely to undergo bariatric surgery compared to those with commercial insurance. The aims of this study were to compare outcomes after laparoscopic Roux-en-Y gastric bypass (LRYGB) for patients covered by Medicaid, other (non-Medicaid) government insurance, and commercial insurance. METHODS: This was a retrospective cohort study of all eligible patients who underwent LRYGB between July 2004 and October 2011 at a single university hospital (n = 450). Multivariable regression analysis was used to compare percent weight loss (PWL), absolute weight loss (AWL), hospital length of stay (LOS) ≥3 days, and 30-day readmission rates. Analyses were adjusted for appropriate covariates. RESULTS: There was a nonsignificant increase in PWL in Medicaid patients at 2 months (p = 0.08), 6 months (p = 0.09), and 12 months (p = 0.17) compared to commercial insurance patients. Similarly, there was a nonsignificant increase in AWL in Medicaid patients at 2 months (p = 0.054), 6 months (p = 0.08), and 12 months (p = 0.14) compared to commercial insurance patients. Medicaid patients had similar PWL and AWL compared to those with other government insurance (p ≥ 0.29 at all time points). Medicaid patients were more likely to have a hospital LOS ≥ 3 days (OR 2.03; 95 % confidence interval (CI) 1.09-3.77) and a hospital readmission within 30 days of discharge (odds ratio (OR) 2.84; 95 % CI 1.15-6.96) compared to commercial insurance patients. CONCLUSIONS: These data should be considered as states expand Medicaid and make decisions regarding treatment of severe obesity. Interventions to decrease hospital LOS and the 30-day readmission rate, particularly in Medicaid patients, should be explored.

Outcomes of biomarker feedback on physical activity, eating habits, and emotional health: from the Americans in Motion-Healthy Intervention (AIM-HI) study.

PURPOSE: The purpose of this article was to test whether physical activity, healthy eating, and emotional well-being would improve if patients received feedback about biomarkers that have been shown to be responsive to changes in weight and fitness. METHODS: Patients were randomized to limited feedback (weight, body mass index [BMI], and blood pressure at 4 and 10 months) or enhanced feedback (weight, BMI, blood pressure, homeostatic insulin resistance, and nuclear magnetic resonance lipoprotein profiles at 2, 4, 7, and 10 months). Repeated measures mixed effects multivariate regression models were used to determine whether BMI, fitness, diet, and quality of life changed over time. RESULTS: Major parameters were similar in both groups at baseline. BMI, measures of fitness, healthy eating, quality of life, and health state improved in both patient groups, but there was no difference between patient groups at 4 or 10 months. Systolic blood pressure improved in the enhanced feedback group, and there was a difference between the enhanced and limited feedback groups at 10 months (95% confidence interval, -6.011 to -0.5113). CONCLUSIONS: Providing patients with enhanced feedback did not dramatically change outcomes. However, across groups, many patients maintained or lost weight, suggesting the need for more study of nondiet interventions.

Obesity: overview of an epidemic.

The obesity epidemic in the United States has proven difficult to reverse. We have not been successful in helping people sustain the eating and physical activity patterns that are needed to maintain a healthy body weight. There is growing recognition that we will not be able to sustain healthy lifestyles until we are able to address the environment and culture that currently support unhealthy lifestyles. Addressing obesity requires an understanding of energy balance. From an energy balance approach it should be easier to prevent obesity than to reverse it. Further, from an energy balance point of view, it may not be possible to solve the problem by focusing on food alone. Currently, energy requirements of much of the population may be below the level of energy intake than can reasonably be maintained over time. Many initiatives are underway to revise how we build our communities, the ways we produce and market our foods, and the ways we inadvertently promote sedentary behavior. Efforts are underway to prevent obesity in schools, worksites, and communities. It is probably too early to evaluate these efforts, but there have been no large-scale successes in preventing obesity to date. There is reason to be optimistic about dealing with obesity. We have successfully addressed many previous threats to public health. It was probably inconceivable in the 1950s to think that major public health initiatives could have such a dramatic effect on reducing the prevalence of smoking in the United States. Yet, this serious problem was addressed via a combination of strategies involving public health, economics, political advocacy, behavioral change, and environmental change. Similarly, Americans have been persuaded to use seat belts and recycle, addressing two other challenges to public health. But, there is also reason to be pessimistic. Certainly, we can learn from our previous efforts for social change, but we must realize that our challenge with obesity may be greater. In the other examples cited, we had clear goals in mind. Our goals were to stop smoking, increase the use of seatbelts, and increase recycling. The difficulty of achieving these goals should not be minimized, but they were clear and simple goals. In the case of obesity, there is no clear agreement about goals. Moreover, experts do not agree on which strategies should be implemented on a widespread basis to achieve the behavioral changes in the population needed to reverse the high prevalence rates of obesity. We need a successful model that will help us understand what to do to address obesity. A good example is the recent HEALTHY study. This comprehensive intervention was implemented in several schools and aimed to reduce obesity by concentrating on behavior and environment. This intervention delivered most of the strategies we believe to be effective in schools. Although the program produced a reduction in obesity, this reduction was not greater than the reduction seen in the control schools that did not receive the intervention. This does not mean we should not be intervening in schools, but rather that it may require concerted efforts across behavioral settings to reduce obesity. Although we need successful models, there is a great deal of urgency in responding to the obesity epidemic. An excellent example is the effort to get menu labeling in restaurants, which is moving rapidly toward being national policy. The evaluation of this strategy is still ongoing, and it is not clear what impact it will have on obesity rates. We should be encouraging efforts like this, but we must evaluate them rigorously. Once we become serious about addressing obesity, it will likely take decades to reverse obesity rates to levels seen 30 years ago. Meanwhile, the prevalence of overweight and obesity remains high and quite likely will continue to increase.