Inova Translational Medicine Institute, Falls Church, VA, USA.
Inova Children's Hospital, Falls Church, VA, USA.
Pediatr Res. 2019 Feb;85(3):256-261. doi: 10.1038/s41390-018-0264-9. Epub 2019 Jan 10.
Hispanic children are disproportionately affected by obesity, with this disparity starting at a young age, and there is a paucity of data comparing factors associated with excess weight in the first year of life in Hispanic vs. non-Hispanic populations.
Excess weight was defined as weight-for-length ≥95th percentile. The associations of potential risk factors were compared by ethnicity stratification.
Of the 1009 children, 302 (30.0%) were Hispanic and 707 (70.0%) were non-Hispanic White. The rate of excess weight was 30.1% and 13.6% among Hispanic and non-Hispanic White children, respectively. Factors associated with excess weight for non-Hispanic White children were higher than recommended weight gain during pregnancy (odds ratio (OR) 1.8 (1.2-3.1)), higher paternal body mass index (BMI) (OR 1.1 (1.02-1.15)), higher birth weight (OR 1.001 (1.001-1.002)), and lower breast milk feedings at 6 months (OR 0.98 (0.96-0.98)). Factors associated with excess weight for Hispanic children were lower maternal education (OR 2.37 (1.1-4.5)) and lower breast milk feedings at 6 months (OR 0.98 (0.96-0.99)).
There are differential risk factors associated with excess weight at 12 months between Hispanic and non-Hispanic White children. Identification of differential factors in different ethnicities may allow for more targeted anticipatory guidance reduce obesity in at-risk populations.
西班牙裔儿童肥胖的比例不成比例,这种差异从幼年就开始出现,而且关于西班牙裔和非西班牙裔人群在生命的第一年与超重相关的因素的数据很少。
超重定义为体重-身长≥第 95 百分位数。通过种族分层比较潜在危险因素的相关性。
在 1009 名儿童中,302 名(30.0%)为西班牙裔,707 名(70.0%)为非西班牙裔白人。西班牙裔和非西班牙裔白人儿童超重的发生率分别为 30.1%和 13.6%。与非西班牙裔白人儿童超重相关的因素是怀孕期间体重增加超过建议值(比值比(OR)1.8(1.2-3.1))、父亲的体重指数(BMI)较高(OR 1.1(1.02-1.15))、出生体重较高(OR 1.001(1.001-1.002))和 6 个月时母乳喂养较少(OR 0.98(0.96-0.98))。与西班牙裔儿童超重相关的因素是母亲教育程度较低(OR 2.37(1.1-4.5))和 6 个月时母乳喂养较少(OR 0.98(0.96-0.99))。
西班牙裔和非西班牙裔白人儿童在 12 个月时超重的相关危险因素不同。在不同种族中识别出不同的因素可能会使针对高危人群的预期指导更加具有针对性,从而减少肥胖的发生。