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河南省农村营养改善计划地区4个重点监测县学生超重和肥胖家庭因素分析:一项2023年横断面调查

Family-related factors associated with overweight and obesity among students in four key counties of the nutrition improvement program for rural compulsory education, Henan province: a cross-sectional survey, 2023

  • 摘要:
    目的 分析河南省农村义务教育学生营养改善计划地区家庭相关因素对学生超重和肥胖的影响。
    方法 于2023年10—11月,在河南省农村义务教育学生营养改善计划地区的4个重点监测县,采用分层随机整群抽样方法,抽取5 835名中小学生进行身高和体重测量,并对家长进行问卷调查。运用χ2检验和logistic回归分析超重和肥胖影响因素,并建立随机森林模型。
    结果 中小学生超重和肥胖检出率为30.76%,男生超重和肥胖检出率(36.05%)高于女生(25.29%)(χ2=79.321,P< 0.05),小学生(34.06%)高于初中生(25.08%)(χ2=51.243,P<0.05),县城学生(34.30%)高于村镇学生(29.60%)(χ2=11.303,P<0.05)。多因素logistic回归分析显示,女生(OR=0.625,95%CI=0.556~0.703)、初中(OR=0.703,95%CI=0.620~0.797)、村镇(OR=0.849,95%CI=0.736~0.980)、学生的主要照料人为其他(OR=0.838,95%CI=0.739~0.950)、母亲文化程度(中学:OR=1.240,95%CI=1.040~1.479;大专及以上:OR=1.490,95%CI=1.113~1.995)、上一年家庭税后纯收入总和≥10万元(OR=1.515,95%CI=1.145~2.004)、学生挑食或偏食(极少:OR=0.826,95%CI=0.705~0.967;有时:OR=0.444,95%CI=0.378~0.521;多数/总是:OR=0.409,95%CI=0.322~0.520)、家长对学生体型的认识错误(OR=2.283,95%CI=2.029~2.568)、家长采取措施干预学生体重(OR=1.198,95%CI=1.063~1.350)与超重和肥胖存在关联(P<0.05)。随机森林模型显示AUC为0.743,基尼指数显示贡献度前2的变量为家长采取措施干预学生体重(187.452)和家长对学生体型的认识(174.191)。
    结论 河南省农村义务教育学生营养改善计划地区学生超重和肥胖率较高,以家庭为基础进行预防和控制具有重要意义。

     

    Abstract:
    Objective To analyze the impacts of family-related factors on overweight and obesity among students in the nutrition improvement program for rural compulsory education in Henan province.
    Methods From October to November 2023, stratified random cluster sampling was conducted to include 5 835 primary and secondary school students from four key counties of the nutrition improvement program for rural compulsory education in Henan province. The body heights and body weights of the students were measured, and questionnaires were administered to their parents. Chi-square tests and logistic regression were employed to analyze the determinants of overweight and obesity, and a random forest model was constructed.
    Results The detection rate of overweight and obesity among primary and secondary school students was 30.76%. Specifically, boys had a higher rate than girls (36.05% vs. 25.29%, χ2 = 79.321, P < 0.05); primary school students had a higher rate than secondary school students (34.06% vs. 25.08%, χ2 = 51.243, P< 0.05); and students in urban areas had a higher rate than those in rural areas (34.30% vs. 29.60%, χ2=11.303, P < 0.05). Multivariate logistic regression analysis revealed that females (OR = 0.625, 95%CI: 0.556–0.703), secondary school (OR = 0.703, 95%CI: 0.620–0.797), rural areas (OR = 0.849, 95%CI: 0.736–0.980), non-mother primary caregiver (OR = 0.838, 95%CI: 0.739–0.950), maternal educational background (secondary school: OR = 1.240, 95%CI: 1.040–1.479; college or above: OR = 1.490, 95%CI: 1.113–1.995), family after-tax income of last year ≥ ¥100 000 (OR = 1.515, 95%CI: 1.145–2.004), students′ picky or selective eating habits (rarely: OR = 0.826, 95%CI: 0.705–0.967; sometimes: OR = 0.444, 95%CI: 0.378–0.521; often/always: OR = 0.409, 95%CI: 0.322–0.520), parental misperception of students′ body form (OR = 2.283, 95%CI: 2.029–2.568), and parental intervention measures for students′ weight (OR = 1.198, 95%CI: 1.063–1.350) were associated with overweight and obesity (P<0.05). The AUC value of the random forest model was 0.743. Moreover, the Gini index identified the two most influential variables, which were parental intervention measures for students′ weight (187.452) and parental perception of students′ body form (174.191).
    Conclusions The prevalence of overweight and obesity is relatively high among students in the nutrition improvement program for rural compulsory education in Henan province. Therefore, implementing prevention and control measures based on the family is of great significance.

     

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