北京大学学报(医学版) ›› 2021, Vol. 53 ›› Issue (2): 308-313. doi: 10.19723/j.issn.1671-167X.2021.02.013

• 论著 • 上一篇    下一篇

饮奶行为在家庭社会经济状况与儿童青少年体重指数间的中介作用

史欣然,安美静,陈天娇(),马军   

  1. 北京大学公共卫生学院,北京大学儿童青少年卫生研究所, 北京 100191
  • 收稿日期:2019-04-23 出版日期:2021-04-18 发布日期:2021-04-21
  • 通讯作者: 陈天娇 E-mail:tianjiao.chen@hsc.pku.edu.cn
  • 基金资助:
    卫生公益性行业科研专项项目(201202010)

Mediating effect of milk intake between family socioeconomic status and body mass index of children and adolescents

SHI Xin-ran,AN Mei-jing,CHEN Tian-jiao(),Ma jun   

  1. Institute of Child and Adolescent Health, Peking University, Beijing 100191, China
  • Received:2019-04-23 Online:2021-04-18 Published:2021-04-21
  • Contact: Tian-jiao CHEN E-mail:tianjiao.chen@hsc.pku.edu.cn
  • Supported by:
    Specific Research Project of Health Project of Health Pro Bono Secters,Ministry of Health,China(201202010)

RICH HTML

  

摘要:

目的: 研究家庭社会经济状况(socio-economic status, SES)与儿童青少年体重指数(body mass index, BMI)z评分的关系,以及家庭SES如何通过影响儿童青少年的饮奶行为作用于儿童青少年的BMI z评分。方法: 采用分层整群抽样的方法按城市中学、城市小学、乡村中学、乡村小学各抽取4所学校,共有2 496名学生及其家长作为研究对象。通过7 d饮食行为问卷得到学生每周饮奶次数和日均饮奶份数。采用父母最高文化程度和家庭月收入反映家庭SES。利用统计软件SPSS 18.0中PROCESS插件程序分析儿童青少年饮奶行为在家庭SES和儿童青少年BMI z评分关系中的中介作用。结果: 父母最高文化程度、家庭月收入与儿童青少年BMI均呈正相关(P值分别为 0.001, 0.038)。总人群的日均饮奶份数为(0.92±0.84)份,每周饮奶次数为(4.43±2.70)次。小学生、城市、父母最高文化程度、家庭月收入、非肥胖与每周饮奶次数和日均饮奶份数多有关(P值均 < 0.05)。儿童青少年饮奶行为在家庭SES与儿童青少年BMI z评分关系中起部分中介作用。每周饮奶次数在父母最高文化程度和家庭月收入与BMI z评分关系中的中介效应占总效应的比例分别为-6.57%和-10.21%。日均饮奶份数在父母最高文化程度和家庭月收入与BMI z评分关系中的中介效应占总效应的比例分别为-3.63%和-5.86%。结论: 我国儿童青少年饮奶行为还有待提高;儿童青少年饮奶行为在家庭高SES与儿童青少年高BMI z评分关系中起部分中介作用,为儿童青少年肥胖的保护因素;未来还需对其他饮食或运动行为进行研究,以探索家庭SES与儿童青少年BMI z评分关系之间的机制,从而进行有针对性的干预。

关键词: 家庭社会经济状况, 体重指数, 饮奶行为

Abstract:

Objective: To examine the association between family socioeconomic status (SES) and body mass index (BMI) z-score of children and adolescents, and the mediating effect of milk intake in this association. Methods: In the study, 2 496 students and their parents were selected from 16 schools (4 urban middle schools, 4 rural middle schools, 4 urban primary schools, and 4 rural primary schools) using a stratified cluster sampling method. The frequency and amount of weekly milk intake from the 7-day Food Records reported by the students were extracted. The parents’ education and household income were the indicators of family SES. The mediating effect of milk intake between family SES and BMI z-score of children and adolescents were tested using the PROCESS add-on SPSS software. Results: Parents’ education level and household income were positively correlated with BMI z-score of children and adolescents (P=0.001 and 0.038, respectively). The overall average daily intake of milk was (0.92±0.84) servings, and the frequency was (4.43±2.70) days per week. The students of primary school, in urban areas, with higher parents’ education level, with higher household income, and being non-obese were likely to have higher frequency and amount of milk intake. Milk intake was one of the mediating factors in the relationship between family SES and BMI z-score of children and adolescents. Specifically, the mediating effect of the frequency of milk intake accounted for -6.57% and -10.21% of the total effects of the association between the parents’ education and the household income with BMI z-score of children and adolescents, respectively. The mediating effect of the daily intake of milk accounted for -3.63% and -5.86% of the total effects of the association between the parents’ education and the household income with BMI z-score of children and adolescents, respectively. Conclusion: The milk intake of Chinese children and adolescents still needs to be improved. High family SES was found to contribute to high BMI z-score, mediated by the milk intake which was the protective factors of BMI z-score. Further research is needed to study other dietary or physical exercise behaviors that mediate the relationship between family SES and BMI z-score of children and adolescents in order to adopt more targeted interventions.

Key words: Family socioeconomic status, Body mass index, Milk intake

中图分类号: 

  • R151.3

图1

中介模型示意图"

表1

家庭社会经济状况与儿童青少年BMI z评分之间的关系"

Items β Standard error t 95%CI P
Parents’ education 0.13 0.04 3.26 0.05, 0.20 0.001
Household income 0.07 0.03 2.07 <0.01, 0.13 0.038

表2

不同特征人群的儿童青少年奶饮用情况"

Characteristics n (%) Servings of daily milk intake,
$\bar{x} \pm s$
Z/H P Weekly frequency
of milk intake, M (P25, P75)
Z/H P
Total 2 496(100.00) 0.92±0.84 5(2, 7)
Gender
Boys 1 274(51.04) 0.94±0.84 -1.43 0.153 5(2, 7) -0.46 0.645
Girls 1 222(48.96) 0.89±0.84 5(2, 7)
Grade
Primary school 1 301(52.12) 0.97±0.88 -3.52 <0.001 6(3, 7) -3.98 <0.001
Junior high school 1 195(47.88) 0.86±0.79 5(1, 7)
Area
Urban 1 161(46.51) 1.01±0.77 -8.07 <0.001 6(3, 7) -8.21 <0.001
Rural 1 335(53.49) 0.83±0.89 4(1, 7)
Parents’ education
Junior high school and below 1 045(41.87) 0.83±0.87 62.76 <0.001 4(1, 7) 64.26 <0.001
Senior school 765(30.65) 0.92±0.83 5(2, 7)
Junior college and above 686(27.48) 1.05±0.79 6(4, 7)
Household income
≤2 000 yuan 446(17.87) 0.76±0.86 57.42 <0.001 4(0, 7) 55.23 <0.001
>2 000-<5 000 yuan 1 152(46.15) 0.90±0.84 5(2, 7)
≥5 000-<8 000 yuan 511(20.47) 1.03±0.86 6(3, 7)
≥8 000 yuan 387(15.50) 1.01±0.74 6(3, 7)
Obesity
Yes 441(17.67) 0.81±0.78 -2.71 0.007 5(1, 7) -2.30 0.021
No 2 055(82.33) 0.94±0.85 5(2, 7)

表3

每周饮奶次数与家庭社会经济状况和儿童青少年BMI z评分的关系"

Items a P b P c' P ab 95%CI ab/(c'+ab)
Parents’ education 0.31 <0.001 -0.03 0.010 0.14 0.001 -0.009 -0.019, -0.003 -6.57%
Household income 0.26 <0.001 -0.03 0.013 0.07 0.022 -0.007 -0.016, -0.002 -10.21%

表4

日均饮奶份数与家庭社会经济状况和儿童青少年BMI z评分的关系"

Items a P b P c' P ab 95%CI ab/(c'+ab)
Parents’ education 0.07 0.003 -0.07 0.045 0.13 0.001 -0.005 -0.012, -0.001 -3.63%
Household income 0.06 0.002 -0.07 0.052 0.07 0.028 -0.004 -0.010, -0.001 -5.86%
[1] 王烁, 董彦会, 王政和, 等. 1985—2014年中国7~18岁学生超重与肥胖流行趋势[J]. 中华预防医学杂志, 2017,51(4):300-305.
[2] 刘丹, 房红芸, 赵丽云, 等. 家庭相关因素与中国6~17岁儿童青少年超重肥胖关系的研究[J]. 中华流行病学杂志, 2018,39(6):720-723.
[3] Dinsa GD, Goryakin Y, Fumagalli E, et al. Obesity and socio-economic status in developing countries: a systematic review[J]. Obes Rev, 2012,13(11):1067-1079.
pmid: 22764734
[4] Barriuso L, Miqueleiz E, Albaladejo R, et al. Socioeconomic position and childhood-adolescent weight status in rich countries: a systematic review, 1990—2013[J]. BMC Pediatr, 2015,15(1):129.
[5] Newton S, Braithwaite D, Akinyemiju TF. Socio-economic status over the life course and obesity: Systematic review and meta-analysis[J]. PLoS One, 2017,12(5):e177151.
[6] Qian L, Zhang F, Newman IM, et al. Effects of selected socio-demographic characteristics on nutrition knowledge and eating behavior of elementary students in two provinces in China[J]. BMC Public Health, 2018,18(1):21.
pmid: 28709414
[7] Mielke GI, Brown WJ, Nunes BP, et al. Socioeconomic correlates of sedentary behavior in adolescents: systematic review and meta-analysis[J]. Sports Med, 2017,47(1):61-75.
pmid: 27260683
[8] Yannakoulia M, Lykou A, Kastorini CM, et al. Socio-economic and lifestyle parameters associated with diet quality of children and adolescents using classification and regression tree analysis: the DIATROFI study[J]. Public Health Nutr, 2016,19(2):339-347.
[9] 杨静, 王丹, 吴萍萍, 等. 家庭因素对学龄前儿童不良进食习惯的影响[J]. 中国学校卫生, 2019,40(1):46-50.
[10] 韩慧, 汤建军, 张勤. 蚌埠市4~6岁儿童饮食行为现状及家庭影响因素分析[J]. 中华疾病控制杂志, 2016,20(10):1008-1010.
[11] 中国学生体质与健康研究组. 2010年中国学生体质与健康研究报告[M]. 北京: 高等教育出版社, 2012: 32-47.
[12] 中国肥胖问题工作组, 季成叶. 中国学龄儿童青少年超重、肥胖筛查体重指数值分类标准[J]. 中华流行病学杂志, 2004,25(2):97-102.
[13] 温忠麟, 叶宝娟. 中介效应分析: 方法和模型发展[J]. 心理科学进展, 2014(5):731-745.
[14] 杜文雯, 王惠君, 王志宏, 等. 中国九省区1991—2006年7~17岁儿童青少年饮奶状况及变化趋势[J]. 中华流行病学杂志, 2010,31(12):1349-1352.
[15] 中国营养学会. 中国居民膳食指南(2016)[M]. 北京: 人民卫生出版社, 2016: 279.
[16] 聂少萍, 马文军, 徐浩锋, 等. 广东省城市中小学生饮用奶制品状况及其影响因素分析[J]. 中国学校卫生, 2007(9):774-775.
[17] 赖月云. 我国城乡居民收入食品消费效应动态差异分析[J]. 统计与决策, 2014(12):127-129.
[18] 赵婧洁, 王明利. 居民奶产品消费现状及影响因素分析[J]. 中国畜牧杂志, 2014,50(20):3-7.
[19] Keast DR, Hill GK, Albertson AM, et al. Associations between yogurt, dairy, calcium, and vitamin D intake and obesity among U.S. children aged 8-18 years: NHANES, 2005—2008[J]. Nutrients, 2015,7(3):1577-1593.
pmid: 25742042
[20] Moore LL, Singer MR, Qureshi MM, et al. Dairy intake and anthropometric measures of body fat among children and adole-scents in NHANES[J]. J Am Coll Nutr, 2008,27(6):702-710.
pmid: 19155429
[21] Janne Kunchel L, Sanne N, Jens Juul H, et al. Effect of dairy calcium or supplementary calcium intake on postprandial fat metabolism, appetite, and subsequent energy intake[J]. Am J Clin Nutr, 2007,85(3):678.
pmid: 17344487
[22] O’Dea JA, Wilson R. Socio-cognitive and nutritional factors associated with body mass index in children and adolescents: possibilities for childhood obesity prevention[J]. Health Educ Res, 2006,21(6):796-805.
pmid: 17095571
[23] Löffler A, Luck T, Then FS, et al. Effects of psychological eating behaviour domains on the association between socio-economic status and BMI[J]. Public Health Nutr, 2017,20(15):2706-2712.
doi: 10.1017/S1368980017001653 pmid: 28735590
[24] Lahelma E, Martikainen P, Laaksonen M, et al. Pathways between socioeconomic determinants of health[J]. J Epidemiol Community Health, 2004,58(4):327-332.
pmid: 15026449
[1] 李卫民,祖菲娅·吐尔地. 维吾尔族、哈萨克族和汉族大学生体重指数与体能指数的关系[J]. 北京大学学报(医学版), 2024, 56(3): 411-417.
[2] 张警丰,金银姬,魏慧,姚中强,赵金霞. 体重指数与类风湿关节炎临床特征的相关性分析[J]. 北京大学学报(医学版), 2023, 55(6): 993-999.
[3] 王义, 贺利军, 周哲, 赵文峰, 那彦群. 30~50岁男性前列腺体积与体重指数、血压、血脂及血糖的相关性分析 [J]. 北京大学学报(医学版), 2011, 43(3): 460-462.
[4] 张静, 丁士刚, 杨雪玲, 王晔, 张贺军. 胃黏膜病理学改变、体重指数与血清ghrelin和瘦素关系的研究[J]. 北京大学学报(医学版), 2010, 42(5): 543-546.
[5] 季成叶, 孙军玲. 中国学生超重、肥胖流行现状与15年流行趋势[J]. 北京大学学报(医学版), 2004, 36(2): 194-197.
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed   
No Suggested Reading articles found!