Publications by authors named "C J Boushey"

Article Synopsis
  • The National Heart, Lung, and Blood Institute held a virtual workshop in September 2022 to explore effective methods for measuring diet, physical activity, and sleep, identifying research gaps and future directions.
  • Key discussions highlighted the integration of self-reported data from questionnaires with device-based assessments like wearables and biomarkers to improve chronic disease understanding.
  • The workshop emphasized the need for data harmonization and standardization to enhance analysis through AI and machine learning, ultimately aiming to improve accuracy and comparability of lifestyle behavior studies.
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Obesity in the United States and Western countries represents a major health challenge associated with an increased risk of metabolic diseases, including cardiovascular disease, hypertension, diabetes, and certain cancers. Our past work revealed a more pronounced obesity-cancer link in certain ethnic groups, motivating us to develop a tailored dietary intervention called the Healthy Diet and Lifestyle 2 (HDLS2). The study protocol is described herein for this randomized six-month trial examining the effects of intermittent energy restriction (5:2 Diet) plus the Mediterranean dietary pattern (IER + MED) on visceral adipose tissue (VAT), liver fat, and metabolic biomarkers, compared to a standard MED with daily energy restriction (DER + MED), in a diverse participant group.

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Article Synopsis
  • A study was conducted to evaluate the accuracy of four technology-assisted dietary assessment methods in estimating energy and nutrient intake during controlled meals across breakfast, lunch, and dinner.
  • 152 participants completed a 24-hour dietary recall after consuming meals with weights recorded, comparing results from different assessment tools, including ASA24 and Intake24.
  • Findings showed that Intake24, ASA24, and mFR-TA produced more accurate energy estimates than IA-24HR, which had a significant margin of error, indicating variability in the reliability of these assessment methods.
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Background: There are established links between the accumulation of body fat as visceral adipose tissue (VAT) and the risk of developing obesity-associated metabolic disease. Previous studies have suggested that levels of intake of specific foods and nutrients are associated with VAT accumulation after accounting for total energy intake.

Objective: This study assessed associations between a priori selected dietary factors on VAT quantified using abdominal magnetic resonance imaging.

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The first step in any dietary monitoring system is the automatic detection of eating episodes. To detect eating episodes, either sensor data or images can be used, and either method can result in false-positive detection. This study aims to reduce the number of false positives in the detection of eating episodes by a wearable sensor, Automatic Ingestion Monitor v2 (AIM-2).

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