人口因素与糖尿病风险认知和预防行为有关吗?

Nicole Calhoun, Allison Vorderstrasse, Jianhong Chang
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摘要

目的:确定糖尿病易感性、人口统计学因素、饮食和体育活动之间的关系。设计:本描述性、相关性研究采用多水平模型对一项随机对照试验收集的数据进行二次分析,该试验收集了2型糖尿病(T2DM)初级保健中的遗传风险检测和风险咨询。样本:409名在初级保健中接受T2DM遗传风险检测的参与者被随机分为2型糖尿病标准风险评估(SRA)组或SRA加遗传风险检测结果(SRA+G)组。结果:感知糖尿病易感性与人口统计学因素无显著相关性,而仅与遗传风险咨询后12个月的水果和蔬菜摄入量有关(p = 0.04)。每日水果和蔬菜摄入量与女性性别(p = 0.006)、年龄(p = 0.02)和西班牙裔在基线后3个月(p = 0.002)和12个月(p = 0.01)有显著的正相关。每日摄入高脂肪食物与基线时和3个月后的年龄呈负相关(p = 0.02)。在这三个时间点上,黑人比其他人群摄入更多的高脂肪食物。3个月时,年龄与适度活动呈正相关(p = 0.05)。剧烈运动与年龄呈负相关;男性在所有三个时间点上的比例都更高;西班牙裔在基线时(p = 0.0038)和3个月后(p = 0.0001)更高。结论:为了计划有效的、可持续的干预措施,提供者必须了解人口因素、个体风险认知和生活方式改变之间的关系。
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Are Demographic Factors Associated with Diabetes Risk Perception and Preventive Behavior?

Objective: To determine the relationship between perceived diabetes susceptibility, demographic factors, diet, and physical activity.

Design: This descriptive, correlational study used multilevel modeling in a secondary analysis of data collected in a randomized controlled trial of genetic-risk testing and risk counseling for type 2 diabetes (T2DM) in primary care.

Sample: 409 participants who had undergone genetic-risk testing for T2DM in primary care were randomized into either a standard risk assessment (SRA) arm for type 2 diabetes or an SRA plus results of genetic-risk testing (SRA+G) arm.

Results: Perceived diabetes susceptibility was not significantly related to demographic factors but only to fruit-and-vegetable intake at 12 months after genetic-risk counseling (p = .04). Daily servings of fruits and vegetables had a significant, positive relationship with female gender (p = .006), age (p = .02), and Hispanic ethnicity at 3 (p = .002) and 12 months after baseline (p = .01). Daily servings of fatty foods were inversely related to age at baseline (p = .02) and 3 months later. At all three timepoints, Blacks were consuming more servings of fatty foods than were other groups. A positive relationship between age and moderate activity was significant at 3 months (p = .05). Vigorous activity was inversely related to age; higher among men at all three timepoints; and higher among Hispanics at baseline (p = .0038) and 3 months later (p = .0001).

Conclusions: To plan effective, sustainable interventions, providers must understand the associations among demographic factors, individuals' risk perceptions, and lifestyle changes.

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