Obesity and Body Segment Parameters in Working Adults

工作成年人的肥胖和身体部位参数

• 批准号: 9234713
• 负责人: RAKIE CHAM
• 金额: $ 1.54万
• 依托单位: UNIVERSITY OF PITTSBURGH AT PITTSBURGH
• 依托单位国家: 美国
• 财政年份: 2013
• 资助国家: 美国
• 起止时间: 2013-09-01 至 2016-08-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/9234713
• 关键词: Obesity; Body; Segment; Parameters; Working

DESCRIPTION (provided by applicant): Sources of anthropometric data, specifically body segment inertial parameters, are of critical importance in ergonomics and occupational biomechanics. Current models predicting such anthropometric variables are developed based on data collected in normal-weight young adults. Yet, over 60% of all US workers are either overweight or obese and this obesity epidemic worsens with increasing age with more than 75% of workers over the age of 60 years old being overweight or obese. Thus, there is a need to generate new models to predict body segment parameters that better reflect the working population. We propose to develop new datasets of body segment parameters that include body mass index (BMI) as a factor across the age span of working adults using Dual Energy X-Ray Absorption (DXA) methods. More specifically, the goal of the proposed project is two-fold: (1) quantify the impact of obesity on body segment parameters in full-time workers aged 21 to 70 years old (Aim #1), and (2) develop BMI-specific regression models for the prediction of body segment parameters in the same population (Aim #2). To achieve these aims, full-time workers between the ages of 21 and 70 years old will be recruited for participation in the proposed project. They will be asked to come in for one visit. During this visit, a whole-body DXA scan will be collected to derive in-vivo measures of body segment parameters. Body measurements will also be collected. Standard multivariate regression models will be used to achieve the aims of the proposed project. In summary, with the aging of the US workforce and prevalence rates of obesity and overweight in this population, it is critical that we develop validated models that accurately predict body segment parameters in working adults, taking into account body mass and age. The proposed project will address this gap in the ergonomics and occupational biomechanics literature.

描述（由申请人提供）：人体测量数据的来源，特别是身体部位惯性参数，在人体工程学和职业生物力学中至关重要。目前预测此类人体测量变量的模型是根据在正常体重的年轻人中收集的数据开发的。然而，超过 60% 的美国工人超重或肥胖，而且这种肥胖现象随着年龄的增长而恶化，超过 75% 的 60 岁以上工人超重或肥胖。因此，需要生成新的模型来预测更好地反映工作人群的身体部位参数。我们建议使用双能 X 射线吸收 (DXA) 方法开发新的身体部位参数数据集，其中包括体重指数 (BMI) 作为工作成年人年龄跨度的一个因素。更具体地说，拟议项目的目标有两个：(1) 量化肥胖对 21 至 70 岁全职工人身体部位参数的影响（目标 1），以及 (2) 制定 BMI-用于预测同一人群中身体部位参数的特定回归模型（目标#2）。为实现这些目标，将招募21岁至70岁的全职工人参与拟议项目。他们将被要求前来参观一次。在此访问期间，将进行全身 DXA 扫描 被收集以得出身体部位参数的体内测量值。还将收集身体测量数据。标准多元回归模型将用于实现拟议项目的目标。总之，随着美国劳动力的老龄化以及该人群肥胖和超重的患病率，我们开发经过验证的模型来准确预测工作成年人的身体部位参数至关重要，同时考虑到体重和年龄。拟议的项目将解决人体工程学和职业生物力学文献中的这一空白。