Understanding childhood obesity in America: linkages between household income, community resources, and children's behaviors.

BACKGROUND: Understanding childhood obesity's root causes is critical to the creation of strategies to improve our children's health. We sought to define the association between childhood obesity and household income and how household income and childhood behaviors promote childhood obesity. METHODS: We assessed body mass index in 109,634 Massachusetts children, identifying the percentage of children who were overweight/obese versus the percentage of children in each community residing in low-income homes. We compared activity patterns and diet in 999 sixth graders residing in 4 Michigan communities with varying annual household income. RESULTS: In Massachusetts, percentage of overweight/obese by community varied from 9.6% to 42.8%. As household income dropped, percentage of overweight/obese children rose. In Michigan sixth graders, as household income goes down, frequency of fried food consumption per day doubles from 0.23 to 0.54 (P < .002), and daily TV/video time triples from 0.55 to 2.00 hours (P < .001), whereas vegetable consumption and moderate/vigorous exercise go down. CONCLUSIONS: The prevalence of overweight/obese children rises in communities with lower household income. Children residing in lower income communities exhibit poorer dietary and physical activity behaviors, which affect obesity.

Health status and behavior among middle-school children in a midwest community: what are the underpinnings of childhood obesity?

BACKGROUND: Childhood obesity is one of the nation's foremost health challenges. How much of this is due to lifestyle choices? The objective of the study was to determine health behaviors that contribute to obesity in sixth-grade children. METHODS: To assess which health habits contribute to childhood obesity, we studied body mass index, blood pressure, lipid profile, glucose, and heart rate recovery after a 3-minute step test among sixth-grade children enrolled in a school-based intervention study from 2004 to 2009, comparing health behaviors and physiologic markers in obese versus nonobese children. Univariate associations with obesity (P values≤.10) were entered into a stepwise logistic regression to identify independent predictors. RESULTS: Among 1,003 sixth graders (55% white, 15% African American; average age 11.5 years), 150 (15%) were obese. Obese students had higher levels of total cholesterol, low-density lipoprotein cholesterol, triglycerides, blood pressure, and recovery heart rates. They consumed more regular soda and school lunches but were less likely to engage in physical activities. Obese students were more likely to watch TV≥2 hours per day. Independent predictors were watching TV or video games (odds ratio [OR] 1.19, 95% CI 1.06-1.33) and school lunch consumption (OR 1.29, 95% CI 1.02-1.64); moderate exercise was protective (OR 0.89, 95% CI 0.82-0.98). CONCLUSIONS: Obesity is present in 15% of our sixth graders and is associated with major differences in cardiovascular risk factors. Opportunities to improve childhood health should emphasize programs that increase physical activity, reduce recreational screen time, and improve nutritional value of school lunches. Whether genetic or not, childhood obesity can be attacked.

Evaluating Active U: an Internet-mediated physical activity program.

BACKGROUND: Engaging in regular physical activity can be challenging, particularly during the winter months. To promote physical activity at the University of Michigan during the winter months, an eight-week Internet-mediated program (Active U) was developed providing participants with an online physical activity log, goal setting, motivational emails, and optional team participation and competition. METHODS: This study is a program evaluation of Active U. Approximately 47,000 faculty, staff, and graduate students were invited to participate in the online Active U intervention in the winter of 2007. Participants were assigned a physical activity goal and were asked to record each physical activity episode into the activity log for eight weeks. Statistics for program reach, effectiveness, adoption, and implementation were calculated using the Re-Aim framework. Multilevel regression analyses were used to assess the decline in rates of data entry and goal attainment during the program, to assess the likelihood of joining a team by demographic characteristics, to test the association between various predictors and the number of weeks an individual met his or her goal, and to analyze server load. RESULTS: Overall, 7,483 individuals registered with the Active U website ( approximately 16% of eligible), and 79% participated in the program by logging valid data at least once. Staff members, older participants, and those with a BMI < 25 were more likely to meet their weekly physical activity goals, and average rate of meeting goals was higher among participants who joined a competitive team compared to those who participated individually (IRR = 1.28, P < .001). CONCLUSION: Internet-mediated physical activity interventions that focus on physical activity logging and goal setting while incorporating team competition may help a significant percentage of the target population maintain their physical activity during the winter months.

Top 10 Lessons Learned from Project Healthy Schools.

Childhood obesity is increasing in the United States; obese children are more likely to become obese adults with obesity-associated health issues. Effective programs designed to reduce the prevalence of childhood overweight and obesity are needed. We sought to review one such program, Project Healthy Schools (PHS), for key findings. Project Healthy Schools is a health curriculum that includes educational lessons, school environment changes, and health measurement. Data have shown improvement in numerous metrics after the program, including positive changes in physiologic measures and healthier lifestyle behaviors. The school's socioeconomic status has been shown to correlate with baseline and follow-up measures, and gender differences exist. Additionally, school environmental changes support improved health behaviors. The collaborative effort and support of various stakeholders have led to the success of this health education program, resulting in numerous physiologic and behavioral benefits in middle school students throughout Michigan, and providing a replicable, real-world approach to combating childhood obesity.

Guidance to employers on integrating e-cigarettes/electronic nicotine delivery systems into tobacco worksite policy.

In recent years, new products have entered the marketplace that complicate decisions about tobacco control policies and prevention in the workplace. These products, called electronic cigarettes (e-cigarettes) or electronic nicotine delivery systems, most often deliver nicotine as an aerosol for inhalation, without combustion of tobacco. This new mode of nicotine delivery raises several questions about the safety of the product for the user, the effects of secondhand exposure, how the public use of these products should be handled within tobacco-free and smoke-free air policies, and how their use affects tobacco cessation programs, wellness incentives, and other initiatives to prevent and control tobacco use. In this article, we provide a background on e-cigarettes and then outline key policy recommendations for employers on how the use of these new devices should be managed within worksite tobacco prevention programs and control policies.

A middle school intervention to improve health behaviors and reduce cardiac risk factors.

OBJECTIVE: This study aimed to measure the impact of a school-based multidisciplinary intervention program on risk factors for atherosclerosis in sixth-grade middle school students. We also measured health behaviors before and after the intervention using a validated questionnaire. METHODS: A prospective study was performed in which students served as historical controls. Sixth-grade students from 23 middle schools in 12 cities with varying populations were exposed to a program promoting healthful activity and nutrition habits through educational and environmental change. Along with a modified School-Based Nutrition Monitoring behavioral questionnaire, physiologic risk factors were studied, including body mass index, systolic and diastolic blood pressures, cholesterol panel, and random blood glucose, which were measured before the 10-week program and again 1 to 3 months after program completion. RESULTS: Of 4021 sixth graders (male, 49%) at 23 middle schools completing a before and after behavioral survey, 2118 students, aged 11.56 ± 0.47 years, consented to participate in the screening. The mean total cholesterol value decreased from 161.64 ± 28.99 mg/dL to 154.77 ± 27.26 mg/dL (P < .001). The low-density lipoprotein value decreased from 89.37 ± 25.08 mg/dL to 87.14 ± 24.25 mg/dL (P < .001). The high-density lipoprotein value decreased from 52.15 ± 13.35 md/dL to 49.95 ± 13.28 mg/dL (P < .001). The measure of triglycerides decreased from 113.34 ± 73.19 mg/dL to 101.22 ± 63.93 mg/dL (P < .001). The random glucose value decreased from 97.51 ± 16.00 to 94.94 ± 16.62 (P < .001). The mean systolic blood pressure decreased from 109.47 ± 15.26 mm Hg to 107.76 ± 10.87 mm Hg (P < .001), and the mean diastolic blood pressure decreased from 64.78 ± 8.57 mm Hg to 63.35 ± 7.81 mm Hg (P < .001). These changes in physiologic measures seemed to correlate with self-reported increases in vegetable and fruit consumption, increases in physical activity, and less screen time. CONCLUSIONS: Project Healthy Schools, a middle school intervention to improve childhood cardiovascular risk factors, is feasible and seems to be effective. The results showed significant improvements in risk factors associated with early atherosclerosis among sixth-grade students, including total cholesterol, low-density lipoprotein cholesterol, triglycerides, and systolic and diastolic blood pressures. Further study with a larger group of students and a longer follow-up period would be valuable.