基于CHAID模型的广州市某街道高血压患者生活方式影响因素分析

马超; 刘莉; 邓光璞; 向萍; 王媛媛; 方浩庭; 林璜; 陈一鸣; 朱宏

doi:10.16766/j.cnki.issn.1674-4152.002984

基于CHAID模型的广州市某街道高血压患者生活方式影响因素分析

doi: 10.16766/j.cnki.issn.1674-4152.002984

马超¹,
刘莉²,
邓光璞²,
向萍²,
王媛媛²,
方浩庭²,
林璜³,
陈一鸣¹,
朱宏^{1, 4, ,}

1.
南方医科大学卫生管理学院，广东广州 510515
2.
南方医科大学第一临床医学院，广东广州 510000
3.
南方医科大学公共卫生学院，广东广州 510080
4.
广东省卫生健康委员会，广东广州 510060

基金项目:

国家重点研发计划项目 2020YFC2006400

详细信息

通讯作者:
朱宏，E-mail：zhuhongnfyy@126.com

中图分类号: R544.1
计量
- 文章访问数: 171
- HTML全文浏览量: 31
- PDF下载量: 19
- 被引次数: 0
出版历程
- 收稿日期: 2022-10-19

CHAID model-based analysis of influencing factors of hypertensive patients' lifestyle on a street in Guangzhou

1.
School of Health Management, Southern Medical University, Guangzhou, Guangdong 510515, China

摘要

摘要: 目的了解广州市某街道高血压患者生活方式现状，分析其主要影响因素，为改善高血压患者生活方式提供参考依据。方法随机选取2021年1月1日—12月31日在广州市白云区某街道所辖18个社区中已建档随访且符合本研究筛选条件的高血压患者1 768例，收集其基本情况及生活方式信息。运用SPSS 25.0统计学软件进行CHAID模型分析。结果性别(χ²=126.030，P < 0.001)、婚姻状况(χ²=31.169，P < 0.001)、年龄(χ²=9.494，P=0.031)是吸烟的主要影响因素，70例未婚、离婚或丧偶的男性患者吸烟率最高，为45.7%；签订家庭医生(χ²=8.289，P=0.004)、性别(χ²=3.966，P=0.046)是过量饮酒的主要影响因素，528例未签订家庭医生的男性患者过量饮酒率为2.8%；文化程度(χ²=12.130，P=0.003)、婚姻状况(χ²=11.830，P=0.002)是饮食荤素均衡的主要影响因素，818例已婚的高文化水平患者饮食荤素均衡比例最优，为98.0%；职业类别(χ²=62.121，P < 0.001)、性别(χ²=8.937，P=0.003)、BMI(χ²=9.815，P=0.002)是体育锻炼的主要影响因素，201例BMI＜24的从业患者体育锻炼的比例最低，为49.8%。结论该地区高血压患者生活方式整体较好，但仍需通过加强心理疏导、加大宣教力度、人工智能赋能、提高家庭医生签约率等措施强化对重点人群的管理。
- 高血压 /
- 生活方式 /
- 影响因素 /
- 卡方自动交互检测
Abstract: Objective To understand the current status of lifestyle of hypertensive patients in a street in Guangzhou, and to analyze the main influencing factors to provide a reference basis for improving the lifestyle of hypertensive patients. Methods A total of 1 768 hypertensive patients who had been followed up in 18 communities under the jurisdiction of a street in Baiyun District, Guangzhou City, from January 1 to December 31, 2021, and who met the screening criteria of this study were randomly selected, and their basic conditions and lifestyle information were collected. Chi-squared automatic interaction detector (CHAID) model analysis was performed using SPSS 25.0 statistical software. Results Gender (χ²=126.030, P < 0.001), marital status (χ²=31.169, P < 0.001), and age (χ²=9.494, P=0.031) were the main influencing factors for smoking, with the 70 male patients who were unmarried, divorced, or widowed having the highest prevalence of smoking at 45.7%; signing up with a family doctor (χ²=8.289, P=0.004), gender (χ²=3.966, P=0.046) were the main influencing factors for excessive alcohol consumption, and 528 male patients who did not sign a family doctor had an excessive alcohol consumption rate of 2.8%; Educational level (χ²=12.130, P=0.003) and marital status (χ²=11.830, P=0.002) were the main influencing factors for a balanced diet of meat and vegetables, and 818 patients with high educational level who were married had the best proportion of balanced diet of meat and vegetables was 98.0%; Occupational category (χ²=62.121, P < 0.001), gender (χ²=8.937, P=0.003), and BMI (χ²=9.815, P=0.002) were the main influencing factors for physical exercise, and 201 practicing patients with BMI < 24 had the lowest proportion of physical exercise was 49.8%. Conclusion The overall lifestyle of hypertensive patients in a Guangzhou street is good, however, there is still a need to strengthen the management of key populations through strengthening psychological guidance, increasing education, empowering artificial intelligence, and increasing the contracting rate of family doctors.
- Hypertension /
- Lifestyle /
- Influencing factors /
- Chi-squared automatic interaction detector
利益冲突 无

HTML全文

图 1 吸烟影响因素的CHAID决策树模型

Figure 1. CHAID decision tree model of smoking influencing factors

下载: 全尺寸图片幻灯片

图 2 过量饮酒影响因素的CHAID决策树模型

Figure 2. CHAID decision tree model of Influencing Factors of excessive alcohol consumption

下载: 全尺寸图片幻灯片

图 3 饮食荤素均衡影响因素的CHAID决策树模型

Figure 3. CHAID Decision tree model of influencing Factors of balanced meat and vegetable diet

下载: 全尺寸图片幻灯片

图 4 体育锻炼影响因素的CHAID决策树模型

Figure 4. CHAID decision tree model of Influencing factors of physical exercise

下载: 全尺寸图片幻灯片

表 1 变量赋值表

Table 1. Variable assignment table

变量	赋值方法
吸烟(因变量)	否=0，是=1
过量饮酒(因变量)	否=0，是=1
饮食荤素均衡(因变量)	否=0，是=1
体育锻炼(因变量)	否=0，是=1
性别	男性=1，女性=2
年龄	30~39岁=1，40~49岁=2，50~59岁=3，60~69岁=4，≥70岁=5
BMI	＜24=1，≥24=2
婚姻状况	以“未婚”为参照，未婚=(0, 0), 已婚=(1, 0)，离婚、丧偶=(0, 1)
文化程度	小学及以下=1，初中=2，高中、中专、技校=3，大专及以上=4
职业类别	以“无职业”为参照，无职业=(0，0，0，0，0)
	办事人员和有关人员=(1，0，0，0，0)
	商业、服务业人员=(0, 1, 0，0，0)
	生产、运输设备操作人员及有关人员=(0，0，1，0，0)
	专业技术人员=(0，0，0，1，0)
	其他从业人员=(0，0，0，0，1)
家庭医生签约	否=0，是=1
医疗费用支付方式	以“其他支付方式”为参照，其他支付方式=(0，0，0，0)
	城镇职工医保=(1，0，0，0)
	城镇居民医保=(0，1，0，0)
	新农合=(0，0，1，0)
	全自费=(0，0，0，1)

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