Publications by authors named "Andrea Bowling"

Objectives: Low social standing and teasing are independently associated with increased body mass index (BMI) and overeating in children. However, children with low social status may be vulnerable to teasing.

Methods: We tested the statistical interaction of subjective social status (SSS) and subjective socioeconomic status (SSES) and teasing distress on BMI, fat mass index (FMI), and eating in the absence of hunger (EAH) in children (Mage = 13.

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Article Synopsis
  • Subjective socioeconomic status (SSES) and objective socioeconomic status (OSES) independently influence children's body composition and eating behaviors, with low OSES limiting access to healthy foods and low SSES driving preference for high-energy foods.
  • A study analyzed data from the Children's Growth and Behavior Study to explore how SSES and OSES relate to children's BMI, fat mass index (FMI), and eating behaviors like hyperphagia.
  • Results showed that low SSES is linked to more severe hyperphagia, particularly in children from lower OSES households, highlighting the need for future research on how these socioeconomic factors interact to affect children's health.
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Some, but not all studies have reported that, among youth with disordered eating and high weight, the relative reinforcing value of food (RRV-F, i.e., how hard a person will work for a high-energy-dense food when another reward is available) is greater, and food-related inhibitory control (i.

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Habitat suitability index (HSI) models are commonly used to predict habitat quality and species distributions and are used to develop biological surveys, assess reserve and management priorities, and anticipate possible change under different management or climate change scenarios. Important management decisions may be based on model results, often without a clear understanding of the level of uncertainty associated with model outputs. We present an integrated methodology to assess the propagation of uncertainty from both inputs and structure of the HSI models on model outputs (uncertainty analysis: UA) and relative importance of uncertain model inputs and their interactions on the model output uncertainty (global sensitivity analysis: GSA).

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Purpose: The purpose of the study was to examine the feasibility and impact of a concise community-based program on diabetes self-management education (DSME), according to frequency of emergency department visits and knowledge of, prescriptions for, and control of A1C, blood pressure, and low-density lipoprotein (LDL) cholesterol.

Methods: A free community-based DSME program was placed in a public library. Adults with diabetes (N, 360) consented to participate in this prospective nonrandomized cohort study with preintervention-postintervention design.

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