8 research outputs found

    The impact of body composition on energy expenditure during walking and running in young adults

    Get PDF
    The purpose of this study was to examine the impact of body composition on energy expenditure (EE) of 164 young adults during a 1-mile walk and a 1-mile run on a treadmill. Segmental bioimpedance was used to measure body composition variables. The EE in men (108.3 ± 17.6 kcal) was greater than (P \u3c 0.05) women (80.3 ± 10.6 kcal) during the 1-mile walk, and the difference increased in magnitude during the 1-mile run (144.9 ± 23.2 kcal vs. 105.1 ± 14.9 kcal, respectively). When EE was expressed per unit of body mass, men and women were similar. However, women had a higher EE per unit of fat-free mass (FFM). Regardless of gender, running 1-mile resulted in a greater EE than walking 1-mile. In addition, men expended more absolute calories than women due to a higher body mass. When EE was examined relative to FFM, women were found to be less economical than men, which was most likely due to carrying larger amounts of inactive adipose tissue

    Predicting Abundance of Gray Wolves in Montana Using Hunter Observations and Field Monitoring

    Get PDF
    From the early 1980s to present, wolf (Canis lupus) numbers in Montana have been documented by attempting to locate and count all individuals. These counts represented minimums with unknown error.  We describe a method using observations by hunters, in conjunction with field monitoring to estimate wolf population size and distribution in a more systematic way. Our method consists of three general steps: 1) use a multi-season occupancy model to estimate the area occupied by wolves in packs using locations reported by a random sample of hunters, 2) estimate the numbers of wolf packs by dividing area occupied by average territory size from field monitoring, then 3) estimate the numbers of wolves by multiplying the number of estimated packs by average pack size from field monitoring.  Estimated area occupied by packs increased between 2007 and 2012. From 2007 to 2009, mean estimated territory size from 38 closely monitored packs was 599.83 km2. Dividing estimated area occupied by mean territory size resulted in an increase in estimated packs between 2007 and 2012, exceeding minimum counts. From 1994 to 2011, complete counts were obtained from 413 packs within or bordering Montana, and mean pack size was estimated at 6.32 animals. Multiplying estimated packs by mean pack size resulted in an increase in estimated population size between 2007 and 2012, exceeding minimum counts.  MFWP’s method to estimate the wolf population is cost effective and incorporates public participation with field monitoring. Future application will test the effects of harvest and removals on occupancy, colonization, and local extinction

    Underreporting of Energy Intake Increases over Pregnancy: An Intensive Longitudinal Study of Women with Overweight and Obesity

    No full text
    (1) Background: Energy intake (EI) underreporting is a widespread problem of great relevance to public health, yet is poorly described among pregnant women. This study aimed to describe and predict error in self-reported EI across pregnancy among women with overweight or obesity. (2) Methods: Participants were from the Healthy Mom Zone study, an adaptive intervention to regulate gestational weight gain (GWG) tested in a feasibility RCT and followed women (n = 21) with body mass index (BMI) ≥25 from 8–12 weeks to ~36 weeks gestation. Mobile health technology was used to measure daily weight (Wi-Fi Smart Scale), physical activity (activity monitor), and self-reported EI (MyFitnessPal App). Estimated EI was back-calculated daily from measured weight and physical activity data. Associations between underreporting and gestational age, demographics, pre-pregnancy BMI, GWG, perceived stress, and eating behaviors were tested. (3) Results: On average, women were 30.7 years old and primiparous (62%); reporting error was −38% ± 26 (range: −134% (underreporting) to 97% (overreporting)), representing an ~1134 kcal daily underestimation of EI (1404 observations). Estimated (back-calculated), but not self-reported, EI increased across gestation (p < 0.0001). Higher pre-pregnancy BMI (p = 0.01) and weekly GWG (p = 0.0007) was associated with greater underreporting. Underreporting was lower when participants reported higher stress (p = 0.02) and emotional eating (p < 0.0001) compared with their own average. (4) Conclusions: These findings suggest systemic underreporting in pregnant women with elevated BMI using a popular mobile app to monitor diet. Advances in technology that allow estimation of EI from weight and physical activity data may provide more accurate dietary self-monitoring during pregnancy

    Uncontrolled Eating during Pregnancy Predicts Fetal Growth: The Healthy Mom Zone Trial

    No full text
    Excess maternal weight gain during pregnancy elevates infants’ risk for macrosomia and early-onset obesity. Eating behavior is also related to weight gain, but the relationship to fetal growth is unclear. We examined whether Healthy Mom Zone, an individually tailored, adaptive gestational weight gain intervention, and maternal eating behaviors affected fetal growth in pregnant women (n = 27) with a BMI > 24. At study enrollment (6–13 weeks gestation) and monthly thereafter, the Three-Factor Eating Questionnaire was completed. Ultrasounds were obtained monthly from 14–34 weeks gestation. Data were analyzed using multilevel modeling. Higher baseline levels of uncontrolled eating predicted faster rates of fetal growth in late gestation. Cognitive restraint was not associated with fetal growth, but moderated the effect of uncontrolled eating on fetal growth. Emotional eating was not associated with fetal growth. Among women with higher baseline levels of uncontrolled eating, fetuses of women in the control group grew faster and were larger in later gestation than those in the intervention group (study group × baseline uncontrolled eating × gestational week interaction, p = 0.03). This is one of the first intervention studies to use an individually tailored, adaptive design to manage weight gain in pregnancy to demonstrate potential effects on fetal growth. Results also suggest that it may be important to develop intervention content and strategies specific to pregnant women with high vs. low levels of disinhibited eating
    corecore