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find Keyword "饮食习惯" 2 results
  • 住院老年人营养状况及饮食习惯调查

    目的了解住院老年人的营养状况及饮食习惯,为早期营养干预提供依据。 方法2014年3月1日-31日使用“简易营养评价精法”调查住院老年人的营养状况,同时采用自行设计问卷调查营养状况的影响因素及饮食习惯。 结果住院老年人28.1%有营养不良,54.6%有潜在营养不良。生活自理能力、口腔健康程度对住院老年人的营养状况影响有统计学意义,生活自理、口腔健康的住院老年人营养状况良好(P<0.05);不同性别、年龄、文化程度等对住院老年人营养状况的影响无统计学意义(P>0.05)。住院老年人饮食习惯上喜欢软烂、清淡饮食,烹饪方式上较油炸、煎等方式更喜欢蒸、炒、炖。 结论住院老年人的营养状况不容乐观,营养不良及潜在营养不良的发生率高,应根据其影响因素和饮食习惯早期采取干预措施,改善其营养状况。

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  • Clustering analysis of risk factors in high-incidence areas of esophageal cancer in Yanting county

    Objective To investigate the dietary patterns of rural residents in the high-incidence areas of esophageal cancer (EC), and to explore the clustering and influencing factors of risk factors associated with high-incidence characteristics. Methods A special structured questionnaire was applied to conduct a face-to-face survey on the dietary patterns of rural residents in Yanting county of Sichuan Province from July to August 2021. Univariate and multivariate logistic regression models were used to analyze the influencing factors of risk factor clustering for EC. Results There were 838 valid questionnaires in this study. A total of 90.8% of rural residents used clean water such as tap water. In the past one year, the people who ate fruits and vegetables, soybean products, onions and garlic in high frequency accounted for 69.5%, 32.8% and 74.5%, respectively; the people who ate kimchi, pickled vegetables, sauerkraut, barbecue, hot food and mildew food in low frequency accounted for 59.2%, 79.6%, 68.2%, 90.3%, 80.9% and 90.3%, respectively. The clustering of risk factors for EC was found in 73.3% of residents, and the aggregation of two risk factors was the most common mode (28.2%), among which tumor history and preserved food was the main clustering pattern (4.6%). The logistic regression model revealed that the gender, age, marital status and occupation were independent influencing factors for the risk factors clustering of EC (P<0.05). Conclusion A majority of rural residents in high-incidence areas of EC in Yanting county have good eating habits, but the clustering of some risk factors is still at a high level. Gender, age, marital status, and occupation are influencing factors of the risk factors clustering of EC.

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