| 韩宗兰,王兰英,王海楠,等.苯丙酮尿症 76例病儿生活质量影响因素的多元线性回归分析[J].安徽医药,2021,25(4):714-717. |
| 苯丙酮尿症 76例病儿生活质量影响因素的多元线性回归分析 |
| Multiple linear regression analysis of factors influencing the quality of life of 76 children with phenylketonuria |
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| DOI：10.3969/j.issn.1009-6469.2021.04.019 |
| 中文关键词: 苯丙酮尿症 生长发育 生活质量 调查和问卷 线性模型 |
| 英文关键词: Phenylketonuria Growth and development Quality of life Surveys and questionnaires Linear models |
| 基金项目:河北省卫生和计划生育委员会科研基金资助项目(20181328) |
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| 中文摘要: |
| 目的应用多元线性回归分析探究苯丙酮尿症病儿生活质量的影响因素。方法将 2014年 12月至 2016年 12月唐山市妇幼保健院收治的 76例苯丙酮尿症病儿作为研究对象，评价病儿生长发育状况、生活质量，同时采用多元线性逐步回归模型分析影响苯丙酮尿症病儿生活质量的相关因素。结果体格发育正常 69例(90.79%)异常 7例(9.21%)；智力发育正常 51例(67.11%)，异常 25例(32.89%)；生活质量评分包括躯体功能(46.32±7.75)分，心理功能(，43.24±8.53)分，社会功能(51.73±6.39)分，物质生活(49.35±8.72)分，总分(63.39±8.78)分。单因素分析结果显示，年龄、体格发育是否正常、智力发育是否正常、起始治疗月龄、监护人学历、家庭儿童数量、家庭人均年收入等方面比较差异有统计学意义(P<0.05)。多元线性逐步回归模型分析结果显示，年龄 >3岁、智力发育不正常、起始治疗月龄 ≥3个月、监护人学历为高中及以下是影响苯丙酮尿症病儿生活质量的危险因素(P<0.05)。结论苯丙酮尿症病儿体格发育相对正常，智力发育、生活质量水平相对较低，影响苯丙酮尿症病儿生活质量的危险因素包括年龄 >3岁、智力发育不正常、起始治疗月龄 ≥3个月、监护人学历为高中及以下。 |
| 英文摘要: |
| Objective To explore the influencing factors of quality of life in children with phenylketonuria by multiple linear regression analysis.Methods Seventy-six children with phenylketonuria admitted to Maternal and Child Health Hospital of Tangshan fromDecember 2014 to December 2016 were studied, the growth and development status and quality of life of the children were evaluated,at the same time, multiple linear stepwise regression model was used to analyze the related factors affecting the quality of life of children with phenylketonuria.Results Physical development: 69 cases were normal (90.79%), 7 cases were abnormal (9.21%); Intellectual development: 51 cases were normal (67.11%), 25 cases were abnormal (32.89%); the results of quality of life scoring were as follows:physical function (46.32±7.75), psychological function (43.24±8.53), social function (51.73±6.39), material life (49.35±8.72), totalscore (63.39±8.78). The results of single factor analysis showed that there were significant differences in age, physical development, intellectual development, age at the beginning of treatment, educational background of guardian, number of children in the family and annual income per capita (P<0.05). The analysis results of multiple linear stepwise regression model showed that, age > 3 years old, abnormal intelligence development, age at the beginning of treatment ≥ 3 months, and guardian's education at or below senior high schoolwere risk factors affecting the quality of life of children with phenylketonuria (P<0.05).Conclusions Phenylketonuria children's physical development is relatively normal, the levels of intelligence development and quality of life are relatively low. Risk factors affectingthe quality of life of children with phenylketonuria include age > 3 years old, abnormal intellectual development, age of initial treatment ≥ 3 months, and guardian's education level below high school. |
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