What You Don't Know: Improving Family Health History Knowledge among Multigenerational Families of Mexican Origin.

What You Don't Know: Improving Family Health History Knowledge among Multigenerational Families of Mexican Origin.
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DOI:
10.1159/000443473
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发表时间:
2016
影响因子:
1.7
通讯作者:
Koehly LM
Koehly LM
中科院分区:
医学4区
文献类型:
--
作者:
Goergen AF;Ashida S;Skapinsky K;de Heer HD;Wilkinson AV;Koehly LM

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本研究调查了糖尿病(DB)和心脏病(HD)家族健康史(FHH)知识及其在提供个性化疾病风险反馈后的变化。来自162个墨西哥裔家庭的497名成年人根据反馈接受者和内容按家庭随机分组。每个人都提供了个人和亲属的DB和HD诊断,并在基线评估后收到反馈材料。拟合多变量模型以确定与“不知道”FHH反应率相关的因素。在基线上,美国出生与较高的“不知道”应答率相关(p=0.002)。虽然受出生国家的影响,但年龄越小,回答“不知道”的比例越高。总的来说,在收到反馈后,“不知道”的平均回复率从20%下降到15% (p<0.001)。干预效应被注意到,在一个家庭成员(而不是所有家庭成员)接受补充风险评估(没有行为建议)的家庭中,“不知道”的回复率下降更多(p=0.011)。在美国出生的人和更年轻的参与者中,FHH知识有限,代表了干预工作的关键人群。干预效应表明“少即是多”,表明信息过多可能会限制健康教育计划的有效性。
This study investigated diabetes (DB) and heart disease (HD) family health history (FHH) knowledge and changes following provision of personalized disease risk feedback. 497 adults from 162 Mexican-origin families were randomized by household to conditions based on feedback recipient and content. Each provided personal and relatives’ DB and HD diagnoses and received feedback materials following baseline assessment. Multivariate models were fitted to identify factors associated with the rate of “don’t know” FHH responses. At baseline U.S. nativity was associated with a higher “don’t know” response rate (p=0.002). Though confounded by country of birth, younger age showed a trend toward higher “don’t know” response rates. Overall, average “don’t know” response rates dropped from 20% to 15% following receipt of feedback (p<0.001). An intervention effect was noted, as “don’t know” response rates decreased more in households where one family member (vs all) received supplementary risk assessments (without behavioral recommendations) (p=0.011). Limited FHH knowledge was noted among those born in the US and younger participants, representing a key population to reach with intervention efforts. The intervention effect suggests that “less is more” indicating the potential for too much information to limit health education program effectiveness.
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