Rosenkranz et al. BMC Public Health 2010, 10:81 http://www.biomedcentral.com/1471-2458/10/81 Table 2 Inter-rater reliability statistics for troop environmental variables (based on 144 observed minutes) Percent Agreement Intra-class correlation Cohen’s Kappa Significance level Session Context Free time or structured activity General meeting content PA educational content HE educational content Troop Leader Behavior PA verbal promotion PA physical promotion PA promotion out-of-troop Any PA promotion HE verbal promotion HE physical promotion HE promotion out-of-troop Any HE promotion No HE or PA promotion 100 95.9 88.8 98.6 82.5 97.2 100 98.6 94.4 96.5 97.2 90.3 89.5 1.000 .977 .199 .920 .083 .954 1.000 .980 -.026 .000 .746 .542 .857 1.000 .941 .099 .850 .038 .911 1.000 .960 -.012 ** .588 .367 .746 Page 6 of 13 P < .001 P < .001 P = .006 P < .001 P = .438 P < .001 P < .001 P < .001 P = .820 ** P < .001 P < .001 P < .001 Note: PA = physical activity; HE = healthful eating; **Unable to compute values due to lack of variability in this observation sex-specific 85th or 95th percentile (z-scores of 1.036 or 1.645 respectively). Accelerometry Objective assessment of PA was obtained using the ActiGraph GT1M accelerometer (Shalimar, FL). At the beginning of the seven observed troop meetings (Octo- ber through April), a research assistant placed an accel- erometer on each girl’s right hip, using an adjustable elastic belt. The assistant recorded the starting time and the identification number of the accelerometer worn by each girl. Scouts wore the accelerometer for the dura- tion of their meeting attendance. Using a 30-second epoch, raw accelerometer counts were processed through a customized software program for determina- tion of time spent in moderate-to-vigorous (MVPA; = 4 METs), vigorous (= 7 METs), moderate (4 - 6.99 METs), light (1.5 - 3.99 METs), and sedentary (< 1.5 METs) PA levels. The age-specific count thresholds cor- responding to these intensity levels were derived from the MET prediction equation developed by Freedson and co-workers, and the appropriate count thresholds were divided by two to accommodate the 30-second epoch length [44]. Invalid wearing time during the meeting period was assessed by counting the number of consecutive zero counts accumulated in strings of 10 minutes or longer. Accelerometer data for the entire meeting period was considered valid if wearing time was equal to or greater than 30 minutes. Girl Survey Questionnaires assessed: 1) Fruit servings typically con- sumed. Several commonly consumed fruits were described, and children were given careful descriptions of how much of various fruits constituted a serving. One previously published item assessed typical servings of fruit per day: “On a typical day, how many servings of fruit do you eat [45]?” Responses were given on a five-point scale ranging from “none” to “4 servings or more"; 2) Vegetable servings typically consumed. This was assessed in a closely analogous manner to fruit, with one previously published item [45]. Fruits and vegetables were summed to create a single index of FV consumption. In a previous study, the measure signifi- cantly correlated with 3-day food recorded data and had good classification (63%) and specificity (63%) rates in child self-reports [46]. 3) Habitual PA. Physical activity was defined as “Any play, game, sport, or activity that gets you moving and breathing harder” and was dis- cussed with numerous examples provided both by researchers and participants. Two items (a = .758) assessed days in the past week, and in a typical week (not counting physical education class) “On how many days were you physically active for a total of at least 60 minutes per day?” Responses were given on an eight- point scale ranging from “0 days” to “7 days.” This mea- sure has been previously validated in a diverse sample of adolescents [47]. 4) Sugar-sweetened beverage consump- tion was assessed with one item: “Over the past week, how often did you drink regular soda or sugar-swee- tened beverages?” Responses were given on an eight- point scale, ranging from “never” to “every day” [48]. 5) Frequency of eating with television was assessed with three items (a = .658) from the Family Eating and Activity Questionnaire-Revised [48]. Parent Survey Questionnaires assessed: 1) Family meals. Three items assessed FM frequency (breakfast, lunch, dinner, a =