Suppr超能文献

代际食欲传递:墨西哥人群中母子对子代的影响。

Intergenerational transmission of appetite: Associations between mother-child dyads in a Mexican population.

机构信息

Instituto de Nutrición Humana, Centro Universitario de Ciencias de la Salud, Universidad de Guadalajara, Guadalajara, México.

Centro Universitario de Tonala, Universidad de Guadalajara, Tonala, Jalisco, México.

出版信息

PLoS One. 2022 Mar 15;17(3):e0264493. doi: 10.1371/journal.pone.0264493. eCollection 2022.

Abstract

The Child Eating Behaviour Questionnaire (CEBQ) and the Adult Eating Behaviour Questionnaire (AEBQ) measure 'food approach' [Food responsiveness (FR); Emotional overeating (EOE); Enjoyment of food (EF); Desire to Drink] and 'food avoidant' [Satiety responsiveness (SR); Emotional undereating (EUE); Food fussiness (FF); Slowness in eating (SE)] appetitive traits (ATs) in children and adults, respectively. 'Food approach' traits predispose to overweight while 'food avoidance' traits provide protection, but little is known about the relationships between parents' and their offspring's ATs. The aim was to examine the associations between maternal and child appetitive traits, using the AEBQ-Esp and CEBQ-Mex adapted for use in Mexican populations. Sociodemographic data, weights and heights of mothers and their children (aged 3-13 years), who were recruited from a teaching hospital in Guadalajara, Mexico, were measured. Mothers completed both the AEBQ-Esp and the CEBQ-Mex. The CEBQ-Mex was developed, and its reliability was tested using Cronbach's alpha and Omega, and Confirmatory Factor Analysis (CFA) was used to assess its validity. Pearson's correlation coefficients were used to assess associations between mothers' and children's Ats. The sample included 842 mother-child dyads (mother's mean age = 34.8±SD6.9 years, BMI 29.7±6.1 kg/m2; children's mean age = 8.5 ±SD2.5 years, BMIz 1.5±1.6). Internal reliability was moderate to high [Cronbach alpha = .68-.86; Omega = .71-.87] for the CEBQ-Mex and validity was confirmed for an 8-factor model through CFA [RMSEA = 0.065; CFI = 0.840, NFI = 0.805; IFI = 0.842; and χ2(df = 532) = 2939.51, p < 0.001]. All but one of the children's appetitive traits showed small to moderate, significant correlations with their mother's counterpart [FR (r = .22; p<001); EOE (r = .30; p < .001); EF (r = .15; < .001); SR (r = .16; p < .001); EUE (r = .34; p < .001) and FF (r = .14; p < .001). Only SE was not significantly associated with maternal SE (r = .01; p>.05). ATs tend to run in families, signalling the intergenerational transmission of eating behaviours. These may be useful targets for family-wide interventions to support the development and maintenance of healthy eating behaviours in childhood.

摘要

《儿童进食行为问卷》(CEBQ)和《成人进食行为问卷》(AEBQ)分别测量儿童和成人的“食物趋近”[食物反应性(FR);情绪性过度进食(EOE);对食物的享受(EF);渴望饮水(DD)]和“食物回避”[饱食反应性(SR);情绪性进食不足(EUE);食物挑剔(FF);进食缓慢(SE)]的食欲特质(ATs)。“食物趋近”特质易导致超重,而“食物回避”特质提供保护,但父母和子女的 ATs 之间的关系知之甚少。本研究旨在使用专门为墨西哥人群开发的 AEBQ-Esp 和 CEBQ-Mex 评估母子间的食欲特质之间的关联。在墨西哥瓜达拉哈拉的一家教学医院招募了母亲和 3-13 岁的孩子,测量了他们的社会人口统计学数据、体重和身高。母亲们完成了 AEBQ-Esp 和 CEBQ-Mex。开发了 CEBQ-Mex,并使用 Cronbach 的 alpha 和 Omega 对其信度进行了测试,还使用验证性因子分析(CFA)评估了其效度。使用 Pearson 相关系数评估了母子间 ATs 的关联。该样本包括 842 对母子(母亲的平均年龄=34.8±6.9 岁,BMI 为 29.7±6.1kg/m2;孩子的平均年龄=8.5 ±2.5 岁,BMIz 为 1.5±1.6)。CEBQ-Mex 的内部信度为中等至高度[Cronbach alpha =.68-.86;Omega =.71-.87],通过 CFA 验证了 8 因素模型的有效性[RMSEA = 0.065;CFI = 0.840,NFI = 0.805;IFI = 0.842;和 χ2(df = 532) = 2939.51,p < 0.001]。儿童的所有食欲特质除了 SE 外,都与母亲的相应特质呈小到中度显著相关[FR(r =.22;p<001);EOE(r =.30;p <.001);EF(r =.15;<.001);SR(r =.16;p <.001);EUE(r =.34;p <.001)和 FF(r =.14;p <.001)。只有 SE 与母亲的 SE 没有显著相关(r =.01;p>.05)。ATs 往往在家庭中存在,表明饮食行为在代际间的传递。这些可能是支持儿童期健康饮食行为发展和维持的全家庭干预的有用目标。

相似文献

本文引用的文献

1
Intergenerational transmission of appetite self-regulation.食欲自我调节的代际传递。
J Appl Dev Psychol. 2021 Jul-Sep;76. doi: 10.1016/j.appdev.2021.101330. Epub 2021 Sep 22.
10
Factors Influencing Children's Eating Behaviours.影响儿童饮食习惯的因素。
Nutrients. 2018 May 31;10(6):706. doi: 10.3390/nu10060706.

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验