Pre-gestational overweight and polyunsaturated fatty acids in human milk: theoretical causality model

被引:0
作者
do Amaral, Yasmin Notarbartolo di Villarosa [1 ]
Marano, Daniele [1 ]
Filha, Mariza Miranda Theme [2 ]
Moreira, Maria Elisabeth Lopes [1 ]
机构
[1] Fundacao Oswaldo Cruz, Inst Nacl Saude Mulher Crianca & Adolescente Fer, Av Rui Barbosa 716, BR-22250020 Rio De Janeiro, RJ, Brazil
[2] Fundacao Oswaldo Cruz, Escola Nacl Saude Publ Sergio Arouca, Rio De Janeiro, RJ, Brazil
来源
CIENCIA & SAUDE COLETIVA | 2024年 / 29卷 / 02期
关键词
Body weight changes; Fatty acids; omega-3; omega-6; Directed acyclic graph; DIAGRAMS; WEIGHT;
D O I
10.1590/1413-81232024292.10752022EN
中图分类号
R1 [预防医学、卫生学];
学科分类号
1004 ; 120402 ;
摘要
A number of studies have focused on the evaluation of the relationship between pre -pregnancy overweight and polyunsaturated fatty acids content in human milk. However, given the complexity of potentially confounding risk factors, the use of graphical tools is recommended to identify possible biases. This article aims to propose a theoretical model of causality using the directed acyclic graph between pre-pregnancy overweight and polyunsaturated fatty acids content in human milk. Methods: An extensive literature review was performed to identify variables with causal relationships with exposure and/or outcome. The choice of variables for adjustment followed the graphic algorithm that comprises six criteria for selecting a minimum set of potentially confounding variables. Socioeconomic conditions, interpartum interval, maternal age and food consumption pattern were the variables that would have to be adjusted in order to estimate the total effect of pre-pregnancy overweight on polyunsaturated fatty acids content in human milk. The minimum set of variables found in the present study can be used in the analysis of other studies that evaluate this association.
引用
收藏
页数:10
相关论文
共 22 条
  • [1] Impact of pre-pregnancy excessive body weight on the composition of polyunsaturated fatty acids in breast milk: a systematic review
    Amaral, Yasmin
    Marano, Daniele
    Oliveira, Elissa
    Moreira, Maria Elisabeth
    [J]. INTERNATIONAL JOURNAL OF FOOD SCIENCES AND NUTRITION, 2020, 71 (02) : 186 - 192
  • [2] Impact of maternal BMI and sampling strategy on the concentration of leptin, insulin, ghrelin and resistin in breast milk across a single feed: a longitudinal cohort study
    Andreas, Nicholas J.
    Hyde, Matthew J.
    Herbert, Bronwen R.
    Jeffries, Suzan
    Santhakumaran, Shalini
    Mandalia, Sundhiya
    Holmes, Elaine
    Modi, Neena
    [J]. BMJ OPEN, 2016, 6 (07):
  • [3] [Anonymous], 2008, Modern Epidemiology
  • [4] Maternal weight and excessive weight gain during pregnancy modify the immunomodulatory potential of breast milk
    Carmen Collado, Maria
    Laitinen, Kirsi
    Salminen, Seppo
    Isolauri, Erika
    [J]. PEDIATRIC RESEARCH, 2012, 72 (01) : 77 - 85
  • [5] Use of causal diagrams in Epidemiology: application to a situation with confounding
    Cortes, Taisa Rodrigues
    Faerstein, Eduardo
    Struchiner, Claudio Jose
    [J]. CADERNOS DE SAUDE PUBLICA, 2016, 32 (08):
  • [6] Elwert F., 2013, Handbook of causal analysis for social research, P245, DOI [10.1007/978-94-007-6094-313, DOI 10.1007/978-94-007-6094-3_13]
  • [7] Causal diagrams for epidemiologic research
    Greenland, S
    Pearl, J
    Robins, JM
    [J]. EPIDEMIOLOGY, 1999, 10 (01) : 37 - 48
  • [8] Causal knowledge as a prerequisite for confounding evaluation:: An application to birth defects epidemiology
    Hernán, MA
    Hernández-Díaz, S
    Werler, MM
    Mitchell, AA
    [J]. AMERICAN JOURNAL OF EPIDEMIOLOGY, 2002, 155 (02) : 176 - 184
  • [9] A structural approach to selection bias
    Hernán, MA
    Hernández-Díaz, S
    Robins, JM
    [J]. EPIDEMIOLOGY, 2004, 15 (05) : 615 - 625
  • [10] Invited Commentary: Causal Diagrams and Measurement Bias
    Hernan, Miguel A.
    Cole, Stephen R.
    [J]. AMERICAN JOURNAL OF EPIDEMIOLOGY, 2009, 170 (08) : 959 - 962