State-Issued Identification Cards Reveal Patterns in Adult Weight Status.
State-Issued Identification Cards Reveal Patterns in Adult Weight Status.
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DOI：
10.3390/ijerph120606388
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发表时间：
2015-06-08
影响因子：
--
通讯作者：
Cude C
中科院分区：
文献类型：
--
作者：
Morris DS;Main EC;Harris JK;Moland A;Cude C
背景：州政府发放的身份证是社区肥胖估计的一个很有前途的数据来源。方法：我们使用来自300万张俄勒冈州颁发的身份证的信息来计算该州每个人口普查区域的平均成年人体重指数(BMI)的年龄调整估计值。我们使用多元线性回归来确定体重状况与人口特征、食物可获得性、通勤行为和地理位置之间的关联。结果：家庭价值观、教育、种族、民族、汽车通勤和城乡通勤地区(RUCA)共同解释了不同地区BMI差异的86%。在房价较高和教育程度较高的地区，BMI较低，而在开车通勤的工人较多的地区，BMI较高。讨论：我们的发现与其他关于肥胖的社会经济差异的研究是一致的。这表明国家颁发的身份证是BMI监测的一个很有前途的数据来源，并可能为体重状况与经济和环境因素之间的关联提供新的见解。公共卫生机构应该探索从身份证数据中得出他们自己的肥胖估计值的选择。
Background: State-issued identification cards are a promising data source for neighborhood-level obesity estimates. Methods: We used information from three million Oregon state-issued identification cards to compute age-adjusted estimates of average adult body mass index (BMI) for each census tract in the state. We used multivariate linear regression to identify associations between weight status and population characteristics, food access, commuting behavior, and geography. Results: Together, home values, education, race, ethnicity, car commuting, and rural-urban commuting area (RUCA) explained 86% of the variation in BMI among tracts. BMI was lower in areas with higher home values and greater educational attainment, and higher in areas with more workers commuting by car. Discussion: Our findings are consistent with other research on socioeconomic disparities in obesity. This demonstrates state-issued identification cards are a promising data source for BMI surveillance and may offer new insight into the association between weight status and economic and environmental factors. Public health agencies should explore options for developing their own obesity estimates from identification card data.
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DOI：
10.1111/j.1748-0361.2012.00411.x
发表时间：
2012
期刊：
The Journal of rural health : official journal of the American Rural Health Association and the National Rural Health Care Association
影响因子：
--
作者：
Befort CA;Nazir N;Perri MG
通讯作者：
Perri MG
影响因子：
4.9
作者：
Ahern, Melissa;Brown, Cheryl;Dukas, Stephen
通讯作者：
Dukas, Stephen
影响因子：
4.9
作者：
Patterson, PD;Moore, CG;Shinogle, JA
通讯作者：
Shinogle, JA
影响因子：
5.4
作者：
Drewnowski, Adam;Rehm, Colin D.;Solet, David
通讯作者：
Solet, David
影响因子：
6.9
作者：
Lopez, Russ P.
通讯作者：
Lopez, Russ P.