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林少凯, 赖善榕, 黄峥, 阳丽君, 吴慧丹. 福建省居民膳食模式及高尿酸血症影响因素分类树分析[J]. 中国公共卫生, 2018, 34(6): 798-802. DOI: 10.11847/zgggws1117863
引用本文: 林少凯, 赖善榕, 黄峥, 阳丽君, 吴慧丹. 福建省居民膳食模式及高尿酸血症影响因素分类树分析[J]. 中国公共卫生, 2018, 34(6): 798-802. DOI: 10.11847/zgggws1117863
Shao-kai LIN, Shan-rong LAI, Zheng HUANG, . Dietary patterns and influencing factors of hyperuricemia among adult residents in Fujian province: a classification tree analysis[J]. Chinese Journal of Public Health, 2018, 34(6): 798-802. DOI: 10.11847/zgggws1117863
Citation: Shao-kai LIN, Shan-rong LAI, Zheng HUANG, . Dietary patterns and influencing factors of hyperuricemia among adult residents in Fujian province: a classification tree analysis[J]. Chinese Journal of Public Health, 2018, 34(6): 798-802. DOI: 10.11847/zgggws1117863

福建省居民膳食模式及高尿酸血症影响因素分类树分析

Dietary patterns and influencing factors of hyperuricemia among adult residents in Fujian province: a classification tree analysis

  • 摘要:
      目的  了解福建省成年居民膳食模式和其他因素与高尿酸血症(HUA)患病的关系,为采取相应的干预措施提供参考依据。
      方法  于2015年10 — 12月采用分层随机抽样方法在福建省9个设区市10个县(市、区)抽取2 666名 ≥ 18岁成年居民进行问卷调查、体格检查和实验室检测,应用因子分析法构建膳食模式,并采用logistic回归模型和分类树模型分析膳食模式及其他因素与HUA患病的关系。
      结果  福建省2 666名成年居民中,患HUA者666例,HUA患病率为24.98 %,标化患病率为25.40 %;经因子分析法确定福建省成年居民的4种膳食模式分别为传统型膳食模式、动物性食物型膳食模式、沿海型膳食模式、优质蛋白型膳食模式,4个因子的特征根分别为1.978、1.201、1.082、1.015,累积方差贡献率为48.054 %;在调整了性别、年龄、居住地、体质指数(BMI)、有无高血压、有无糖尿病、有无血脂异常等混杂因素后,多因素非条件logistic回归分析结果显示,动物性食物型和沿海型膳食模式均为HUA患病的危险因素,动物性食物型膳食模式因子得分处于T2水平和沿海型膳食模式因子得分处于T4水平的成年居民患HUA的风险分别为动物性食物型和沿海型膳食模式得分处于T1水平成年居民的1.41倍(OR = 1.41,95 % CI = 1.08~1.85)和1.93倍(OR = 1.93,95 % CI = 1.41~2.63)。分类树模型分析结果显示,超重、肥胖、男性、沿海型膳食模式、居住沿海地区和年龄 ≤ 30岁是福建省成年居民HUA患病的危险因素。
      结论  沿海膳食模式与HUA患病密切相关,加强健康膳食模式的推广,对HUA的预防具有重要意义。

     

    Abstract:
      Objective  To explore dietary patterns and their associations with the prevalence of hyperuricemia (HUA) among adult residents in Fujian province and to provide evidences for developing interventions on HUA.
      Methods  Questionnaire survey on health status and dietary behavior, physical examination, laboratory detection were conducted among 2 666 adult residents (≥18 years old) selected with stratified random sampling from 10 districts and counties in Fujian province between October and December, 2015. Factor analysis was used to identify dietary patterns in the participants and logistic regression model and classification tree model were adopted to analyze the relationships between HUA prevalence and dietary patterns and other influential factors.
      Results  Among the participants, 666 were diagnosed with HUA and the prevalence and standardized prevalence of HUA was 24.98% and 25.40%. Factor analysis revealed four dietary patterns in the participants, including traditional, meat, coastal, and high-quality protein pattern, with the corresponding eigenvalue of 1.978, 1.201, 1.082, and 1.015, respectively, and the cumulative variance contribution rate of the four patterns was 48.054%. The results of multivariate unconditional logistic regression demonstrated that meat and costal dietary pattern were risk factors for HUA after adjusting for gender, age, residential area, body mass index, hypertension, diabetes, and hyperlipidemia; compared to the participants with lower meat or coastal dietary pattern score (in the first quartile), those with higher meat dietary pattern score (in the second or higher quartile) had a 1.41 (95% confidence interval 95% CI: 1.08 – 1.85) times of HUA risk and those with higher coastal dietary pattern score (in the fourth quartile) had a 1.62 (95% CI: 1.20 – 2.18) times higher risk of HUA, respectively. Classification tree model analysis revealed that overweight, obesity, male gender, coastal dietary pattern, living in coastal areas, and aged 30 years and older were risk factors for HUA in the participants.
      Conclusion  Coastal dietary pattern is significantly correlated with the incidence of HUA among adult residents in Fujian province; promoting healthy dietary pattern could play an important role for the prevention of hyperuricemia.

     

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