1Department of Public Health Nutrition, Faculty of Public Health, Universitas Indonesia, Depok, Indonesia
2Child Health Division, Leuwiliang General District Hospital, Bogor District, Indonesia
3Department of Family and Community Medicine, Faculty of Medicine, Public Health and Nursing, Universitas Gadjah Mada, Yogyakarta, Indonesia
Copyright © 2023 The Korean Society for Preventive Medicine
This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (https://creativecommons.org/licenses/by-nc/4.0/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
CONFLICT OF INTEREST
The authors have no conflicts of interest associated with the material presented in this paper.
FUNDING
None.
AUTHOR CONTRIBUTIONS
Conceptualization: Wirawan F, Gayatri A. Data curation: Wirawan F, Yudhantari DGA, Gayatri A. Formal analysis: Wirawan F, Yudhantari DGA, Gayatri A. Funding acquisition: None. Methodology: Wirawan F, Yudhantari DGA, Gayatri A. Project administration: Wirawan F. Visualization: Wirawan F. Writing – original draft: Wirawan F, Yudhantari DGA, Gayatri A. Writing – review & editing: Wirawan F, Yudhantari DGA, Gayatri A.
Study | Year of data collection | Study design | Study group | Population | Sample size | Subject’s age (y) | Country | Country’s income level1 | Exposure/intervention variable | Outcome variable | Time of the assessed diet | Dietary assessment method | Maternal health finding(s) | Child health finding(s) |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Alves-Santos et al., 2019 [16] | 2009–2012 | Cohort | NA | Pregnant women | 193 | 20–40 | Brazil | Upper-middle | Pre-pregnancy dietary pattern | LGA, birth length, Apgar score, and preterm birth | Recall 6 mo before pregnancy | Semi-quantitative FFQ | NA | Fast food and candies were associated with higher LGA; “beans, bread, and fat” was associated with lower Apgar score; and “vegetables and dairy” was associated with lower preterm birth |
Asadi et al., 2019 [11] | 2014–2015 | Case-control | NA | Pregnant women | 296 | 19–40 | Iran | Lower-middle | Pre-pregnancy dietary pattern history | GDM | Recall of diet in the previous year | FFQ | Prudent diet was associated with lower risk of GDM | NA |
Bao et al., 2013 [35] | 1991–2001 | Cohort | Nurses’ Health Study II | Non-pregnant women | 15 294 | 25–44 | USA | High | Protein intake | GDM | Before pregnant | Semi-quantitative FFQ | Red meat consumption was associated with GDM; Nut intake was associated with a lower risk of GDM | NA |
Bao et al., 2014 [31] | 1991–2001 | Cohort | Nurses’ Health Study II | Non-pregnant women | 15 027 | 25–44 | USA | High | Fried-food consumption | GDM | Before pregnant | FFQ | Fried food consumption was associated with GDM risk | NA |
Bao et al., 2014 [12] | 1989–2001 | Cohort | Nurses’ Health Study II | Non-pregnant women | 21 411 | 25–44 | USA | High | Low-carbohydrate diet | GDM | Before pregnant | Semi-quantitative FFQ | Low-carbohydrate, high animal protein, and animal fat diet were associated with increased GDM risk | NA |
Bao et al., 2016 [38] | 1991–2001 | Cohort | Nurses’ Health Study II | Non-pregnant women | 15 632 | 25–44 | USA | High | Potato intake | GDM | Before pregnant | Semi-quantitative FFQ | Higher potato consumption was significantly associated with an increased risk of GDM | NA |
Bao et al., 2018 [43] | 1991–2001 | Cohort | Nurses’ Health Study II | Non-pregnant women | 15 225 | 24–44 | USA | High | Dietary vitamin D intake | GDM | Before pregnant | FFQ | Dietary and total vitamin D intakes were inversely associated with GDM risk | NA |
Benaim et al., 2018 [19] | 2009–2011 | Cohort | NA | Pregnant women | 154 | 22–31 | Brazil | Upper-middle | Food intake 6 mo before pregnant | Changes of serum EPA and DHA, total n-3 PUFA, total n-6 PUFA, and omega-6/omega-3 ratio during pregnancy | Recall of diet 6 mo before pregnant | Semi-quantitative FFQ | Healthy dietary pattern was associated with serum fatty acids, however the effect was modified by BMI | NA |
Bowers et al., 2012 [33] | 1991–2001 | Cohort | Nurses’ Health Study II | Non-pregnant women | 13 475 | 22–44 | USA | High | Fat intake | GDM | Before pregnant | Semi-quantitative FFQ | Higher consumption of dietary cholesterol and animal fat was associated with GDM | NA |
Chen et al., 2009 [41] | 1992–2001 | Cohort | Nurses’ Health Study II | Non-pregnant women | 13 475 | 24–44 | USA | High | Sugar-sweeetend beverage intake | GDM | Before pregnant | Semi-quantitative FFQ | Sugar-sweetened cola was associated with the risk of GDM | NA |
Chen et al., 2012 [37] | 1991–2001 | Cohort | Nurses’ Health Study II | Non-pregnant women | 13 475 | 24–44 | USA | High | Fruit and fruit juice intake | GDM | Before pregnant | Semi-quantitative FFQ | Apple intake was associated with lower risk of GDM | NA |
Chen et al., 2019 [39] | 2018 | Case-control | NA | Pregnant women | 260 | Child-bearing age | China | Upper-middle | Pre-pregnancy probiotic yogurt intake | GDM | Recall | Structured questionnaire | No association | NA |
Dhana et al., 2018 [28] | 1989–2013 | Cohort | Nurses’ Health Study II | Non-pregnant women | 4698 | 25–42 | USA | High | Alternate HEI 2010 | BMI of offspring | Before pregnant | FFQ | NA | No association |
Gaskins et al., 2014 [22] | 1992–2009 | Cohort | Nurses’ Health Study II | Non-pregnant women | 15 950 | 24–44 | USA | High | Alternate HEI 2010, alternate MeD, and fertility diet | Pregnancy loss | Before pregnant | Semi-quantitative FFQ | No association | |
Gaskins et al., 2018 [40] | 1991–2009 | Cohort | Nurses’ Health Study II | Non-pregnant women | 15 590 | 24–44 | USA | High | Coffee intake | Spontaneous abortion | Before pregnant | FFQ | NA | High coffee consumption was associated with the increased risk of spontaneous abortion |
Gete et al., 2021 [30] | 2003–2016 | Cohort | Australian Longitudinal Study in Women’s Health (ALSWH) and Mother and Their Children’s Health Study (MatCH) | Non-pregnant women | 1554 | 25–30 | Australia | High | HEI 2015 | Child behavioral problems using Strengths and Difficulties Questionnaire (SDQ) | Before pregnant | Semi-quantitative FFQ | NA | Better diet quality was associated with lower risk of offspring total behavioral difficulties, externalizing score, hyperactivity, and peer problems |
Gete et al., 2021 [29] | 1996–2015 | Cohort | ALSWH and MatCH | Non-pregnant women | 1936 | 18–23 | Australia | High | HEI 2015 | Childhood BMI of the offspring | Before pregnant | Semi-quantitative FFQ | NA | High diet quality was associated with reduced risk of underweight and obesity |
Gicevic et al., 2018 [25] | 1991–2001 | Cohort | Nurses’ Health Study II | Non-pregnant women | 41 229 | 24–44 | USA | High | Dietary diversity (FGI and MDD-W) and dietary quality (alternate HEI 2010 and PDQS) | GDM and hypertensive disorder in pregnancy | Before pregnant | Semi-quantitative FFQ | Alternate HEI-2010 and PDQS were associated with a lower risk of GDM | NA |
Grieger et al., 2016 [17] | 2009–2013 | Cross-sectional | NA | Pregnant asthmatic women | 309 | >18 | Australia | High | Pre-pregnancy protein; fat and sugar; and vegetarian diet | Asthma control | Recall 12 mo before pregnancy | FFQ | High fat and sugar diet was associated with uncontrolled asthma | NA |
Grieger et al., 2019 [32] | 2009–2013 | Cohort | NA | Pregnant women | 234 | >18 | Australia | High | Food intake 12 mo before pregnant | Allergies in children | Recall of diet 12 mo before pregnant | FFQ | NA | Dairy, fresh fruit, unsaturated and saturated spreads, takeaway foods, and non-oily fish were protective against some types of allergies. Poultry and fruit juice were adversely associated with allergy |
Hillesund et al., 2018 [23] | 2009–2013 | Post-hoc observational study | Norwegian Fit for Delivery (NFFD) | Pregnant women | 591 | >18 | Norway | High | NFFD diet score pre-pregnancy recall | Gestational weight gain, preterm delivery, birth anthropometry, GDM, preeclampsia | Recall | FFQ | A higher diet score was associated with a lower risk of excessive weight gain | A higher diet score was associated with a lower risk of preterm delivery |
Jarman et al., 2018 [24] | 2009–2012 | Cohort | Alberta Pregnancy Outcomes and Nutrition (APrON) study | Pregnant women | 1598 | >16 | Canada | High | Pre-pregnancy healthy eating pattern score | Gestational hypertension and GDM | Recall of diet 12 mo before pregnancy | FFQ | A higher healthy eating pattern score was associated with lower odds of gestational hypertension | NA |
Lamyian et al., 2017 [34] | 2010–2011 | Cohort | NA | Pregnant women in prenatal clinic | 1054 | 18–45 | Iran | Lower-middle | Fast food consumption in the previous year | GDM | Recall of diet in previous year | Semi-quantitative FFQ | Fast food intake was significantly associated with increased risk of developing GDM | NA |
Lawande et al., 2018 [44] | 2006–2012 | RCT | Mumbai Maternal Nutrition Project | Non-pregnant women | 6513 | 22–28 | India | Lower-middle | Food-based micronutrient-rich snack | Fetal size and growth | Before pregnant | NA | NA | No association |
Van Lippevelde et al., 2021 [20] | 1995–2008 | Cohort | Young-HUNT study | Adolescent | 8980 | <19 | Norway | High | Dietary and meal patterns | Birth anthropometry | Before pregnant | Self-reported questionnaire | NA | Higher energy-dense food consumption was associated with the risk of LBW |
Mari-Sanchis et al., 2018 [36] | 1999–2012 | Cohort | The SUN Project | Non-pregnant women | 3298 | Child-bearing age | Spain | High | Meat consumption and iron intake | GDM | Up to 2 y before pregnant | Semi-quantitative FFQ | Higher meat consumption associated with increased risk of GDM | NA |
Mohammed et al., 2020 [42] | 2011–2014 | RCT | NA | Non-pregnant women | 1220 | ≥18 | Ethiopia | Low | Iodized salt intervention | Cognition of offspring | Before pregnant | 24-hr food frequency interview | NA | Offspring’s cognitive scores were better in intervention group compared to control |
Olmedo-Requena et al., 2019 [13] | n/a | Case-control | NA | Pregnant women with GDM | 1466 | >18 | Spain | High | Pregnancy with GDM | Pre-pregnancy adherence to MeD | Recall of diet in previous year before pregnant | FFQ | Very high adherence to MeD was associated with reduced GDM case; Low consumption of meat and its derivatives were protective of GDM | NA |
Potdar et al., 2014 [45] | 2006–2012 | RCT | Mumbai Maternal Nutrition Project | Non-pregnant women | 6513 | <40 | India | Lower-middle | Micronutrient-rich vegetarian snack | Birth weight | ≥90 day before last menstrual period | NA | NA | Micronutrient-rich snack was associated higher birth weight and lower low-birth weight outcome |
Sahariah et al., 2022 [46] | 2006–2011 | RCT | Mumbai Maternal Nutrition Project | Non-pregnant women | 1255 | Child-bearing age | India | Lower-middle | Micronutrient-rich vegetarian snack | Cardiometabolic risk markers and body composition in offspring (5–10 y follow up after intervention) | Before pregnant | NA | NA | No association |
Siega-Riz et al., 2021 [27] | 2008–2011 | Cohort | Hispanic Community Health Study | Non-pregnant women | 497 | 18–44 | USA | High | HEI 2010 | infant birth weight | Mean of 3.2 y before pregnancy | 24-hr food recall | NA | High dietary quality was associated with infant birth weight |
Teixeira et al., 2021 [21] | 2011–2013 | Cohort | ProcriAr study | Pregnant women | 299 | Child-bearing age | Brazil | Upper-middle | Pre-pregnancy dietary pattern | Newborn anthropometry | Recall of diet in previous 12 mo | FFQ | NA | Energy-dense nutrient-poor pre-pregnancy diet was a risk factor for SGA newborn |
Tobias et al., 2012 [14] | 1991–2001 | Cohort | Nurses’ Health Study II | Non-pregnant women | 15 254 | 24–44 | USA | High | MeD, DASH, and alternate HEI scores | GDM | Before pregnant | Semi-quantitative FFQ | Adherence to alternate MeD, DASH, and alternate HEI dietary patterns was associated with lower GDM risk | NA |
Valkama et al., 2018 [10] | 2008–2014 | RCT | RADIEL Study | Non-pregnant women | 75 | ≥18 | Finland | High | Dietary counselling and diet | GDM | Before pregnant | FFQ | Low-fat cheese consumption was associated with lower GDM risk | NA |
Vilela et al., 2014 [18] | 2009–2011 | Cohort | NA | Pregnant women | 248 | 20–40 | Brazil | Upper-middle | Pre-pregnancy dietary pattern | Depressive symptoms during pregnancy | Recall 6 mo before pregnancy | Semi-quantitative FFQ | Health dietary pattern was associated with lower risk of depressive symptoms | NA |
Yee et al., 2020 [26] | 2010–2013 | Cohort | The Nulliparous Pregnancy Outcomes Study: Monitoring Mothers-To-Be (nuMoM2b) | Pregnant women | 8259 | >13 | USA | High | Preconception HEI 2010 | Maternal pregnancy morbidities and child birth outcomes | Recall of diet 3 mo before conception | Semi-quantitative FFQ | Poor dietary quality was associated with postpartum hemorrhage, hypertensive disorder in pregnancy, and caesarean delivery | Poor dietary quality was associated with higher preterm birth, NICU admission, SGA, and LBW, however lower risk of macrosomia |
Yong et al., 2020 [15] | Cohort | TheSeremban Cohort Study (SECOST) | Pregnant women | 737 | Child-bearing age | Malaysia | Upper-middle | Pre-pregnancy dietary pattern | GDM | Recall of diet before pregnancy in the first trimester | Semi-quantitative FFQ | High sugar and fat diet reduced the risk of GDM | NA |
RCT, randomized controlled trial; FFQ, Food-frequency questionnaire; HEI, Healthy Eating Index; MeD, Mediterranean diet; DASH, dietary approach to stop hypertension; NFFD, Norwegian fit for delivery diet; FGI, Food Groups Index; MDD-W, minimum dietary diversity for women; PDQS, Prime Diet Quality Score; GDM, gestational diabetes mellitus; NICU, neonatal intensive care unit; LGA, large-for-gestational age; SGA, small-for-gestational age; LBW, low birth weight; EPA, eicosapentaenoic acid; PUFA, polyunsaturated fatty acid; BMI, body mass index; NA, not available.
1 World Bank classification.
Study | Study design | Sample size (study) | Exposure variable | Outcome variable | Maternal health finding(s) | Child health finding(s) |
---|---|---|---|---|---|---|
Cui et al., 2021 [47] | Meta-analysis | 38 | Pre-pregnancy diet | GDM | Higher pre-pregnancy consumption of fried food, fast food, red and processed meat, heme iron, and low-carbohydrate diet pattern were associated with increased risk of gestational diabetes mellitus; Higher intake of dietary fiber was associated with lower risk of gestational diabetes mellitus | High pre-pregnancy caffeine intake was associated with increased risk of small-for-gestational age. |
Tieu et al., 2017 [48] | Systematic review | 0 | Interconception intervention | Maternal and child morbidity | NA | NA |
Stephenson et al., 2018 [49] | Review | NA | Preconception diet | Maternal and child morbitdity | Diet before pregnancy may modify maternal outcomes through BMI status and micronutrient deficiency | Diet before pregnancy may modify prenatal outcomes through BMI status and micronutrient deficiency |
Temel et al., 2014 [50] | Systematic review | 44 | Preconceptional nutrition support | Maternal and child health | NA | Long-term nutritional support was associated with a positive effect on birth weight |
Hanson et al., 2012 [51] | Review | NA | Pre-pregnancy diet | NCD | NA | Maternal diet before pregnancy are related to phenotypic characteristics of the child, such as adiposity at birth and in childhood, and markers of cardiovascular risk |
Pre-pregnancy diet variables | Observed outcome | ||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
|
|||||||||||||||
Maternal outcome | Child outcome | ||||||||||||||
|
|
||||||||||||||
GDM | Hypertension in pregnancy | Nutritional status | Type of delivery | Asthma | Depression | Cardiometabolic serum marker | Fetal and newborn anthropometry | Preterm birth and neonatal morbidity | Spontaneous abortion and Infant mortality | Child nutrition status | Allergy and eczema | Cognitive and behaviour | Cardiometabolic risk | Total (n) | |
Diet counselling | [10] | 1 | |||||||||||||
|
|||||||||||||||
Dietary pattern | [11]1, [12]1, [13]1, [14], [15]1 | [16]1 | [17] | [18] | [19]1 | [20]1, [21]1 | [16]1 | [22] | 13 | ||||||
|
|||||||||||||||
Dietary quality | [23]1, [24]1, [25]1 | [23]1, [25]1, [26]1 | [23]1 | [26]1 | [23]1, [26]1, [27]1 | [23]1, [26]1 | [28]1, [29] | [30] | 16 | ||||||
|
|||||||||||||||
Dietary diversity | [25]1 | [25]1 | 2 | ||||||||||||
|
|||||||||||||||
Food component | |||||||||||||||
|
|||||||||||||||
Fried food | [31]1 | 1 | |||||||||||||
|
|||||||||||||||
General food | [32] | 1 | |||||||||||||
|
|||||||||||||||
Dietary fat | [33]1 | [17] | 2 | ||||||||||||
|
|||||||||||||||
Fast food | [10], [34]1 | 2 | |||||||||||||
|
|||||||||||||||
Dairy | [10] | 1 | |||||||||||||
|
|||||||||||||||
Protein intake | [10], [35]1, | [17] | 3 | ||||||||||||
|
|||||||||||||||
Meat | [36]1 | 1 | |||||||||||||
|
|||||||||||||||
Fish | [10] | 1 | |||||||||||||
|
|||||||||||||||
Fruit | [10], [37] | 2 | |||||||||||||
|
|||||||||||||||
Vegetables and legumes | [10] | 1 | |||||||||||||
|
|||||||||||||||
Potato | [38]1 | 1 | |||||||||||||
|
|||||||||||||||
Bread, cereal, grains | [10] | 1 | |||||||||||||
|
|||||||||||||||
Probiotic yogurt | [39]1 | 1 | |||||||||||||
|
|||||||||||||||
Caffeine | [40]1 | 1 | |||||||||||||
|
|||||||||||||||
Sugar-sweetened beverage and sugary snacks | [10], [41]1 | [17] | 3 | ||||||||||||
|
|||||||||||||||
Food-based micronutrient | |||||||||||||||
|
|||||||||||||||
Iodized salt intake | [42]1 | 1 | |||||||||||||
|
|||||||||||||||
Dietary vitamin D | [43]1 | 1 | |||||||||||||
|
|||||||||||||||
Food-based micronutrient-rich snack | [44], [45] | [46] | 3 | ||||||||||||
|
|||||||||||||||
Total (n) | 28 | 4 | 1 | 2 | 4 | 1 | 1 | 7 | 3 | 2 | 2 | 1 | 2 | 1 |
PICOS | Keywords |
---|---|
Population | “preconception”[All Fields] OR “preconceptional”[All Fields] OR “preconceptions”[All Fields] OR “pre-pregnancy”[All Fields] |
Intervention | “diet”[MeSH Terms] OR “diet”[All Fields] |
Comparison | Not available |
Outcomes | “health”[MeSH Terms] OR “health”[All Fields] OR “healthful”[All Fields] OR “healthfulness”[All Fields] OR “healths”[All Fields] |
Study design | Filters: Full text, case reports, clinical study, clinical trial, comparative study, controlled clinical trial, meta-analysis, multicenter study, observational study, randomized controlled trial, systematic review, humans, English, Indonesian |
Study | Year of data collection | Study design | Study group | Population | Sample size | Subject’s age (y) | Country | Country’s income level |
Exposure/intervention variable | Outcome variable | Time of the assessed diet | Dietary assessment method | Maternal health finding(s) | Child health finding(s) |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Alves-Santos et al., 2019 [16] | 2009–2012 | Cohort | NA | Pregnant women | 193 | 20–40 | Brazil | Upper-middle | Pre-pregnancy dietary pattern | LGA, birth length, Apgar score, and preterm birth | Recall 6 mo before pregnancy | Semi-quantitative FFQ | NA | Fast food and candies were associated with higher LGA; “beans, bread, and fat” was associated with lower Apgar score; and “vegetables and dairy” was associated with lower preterm birth |
Asadi et al., 2019 [11] | 2014–2015 | Case-control | NA | Pregnant women | 296 | 19–40 | Iran | Lower-middle | Pre-pregnancy dietary pattern history | GDM | Recall of diet in the previous year | FFQ | Prudent diet was associated with lower risk of GDM | NA |
Bao et al., 2013 [35] | 1991–2001 | Cohort | Nurses’ Health Study II | Non-pregnant women | 15 294 | 25–44 | USA | High | Protein intake | GDM | Before pregnant | Semi-quantitative FFQ | Red meat consumption was associated with GDM; Nut intake was associated with a lower risk of GDM | NA |
Bao et al., 2014 [31] | 1991–2001 | Cohort | Nurses’ Health Study II | Non-pregnant women | 15 027 | 25–44 | USA | High | Fried-food consumption | GDM | Before pregnant | FFQ | Fried food consumption was associated with GDM risk | NA |
Bao et al., 2014 [12] | 1989–2001 | Cohort | Nurses’ Health Study II | Non-pregnant women | 21 411 | 25–44 | USA | High | Low-carbohydrate diet | GDM | Before pregnant | Semi-quantitative FFQ | Low-carbohydrate, high animal protein, and animal fat diet were associated with increased GDM risk | NA |
Bao et al., 2016 [38] | 1991–2001 | Cohort | Nurses’ Health Study II | Non-pregnant women | 15 632 | 25–44 | USA | High | Potato intake | GDM | Before pregnant | Semi-quantitative FFQ | Higher potato consumption was significantly associated with an increased risk of GDM | NA |
Bao et al., 2018 [43] | 1991–2001 | Cohort | Nurses’ Health Study II | Non-pregnant women | 15 225 | 24–44 | USA | High | Dietary vitamin D intake | GDM | Before pregnant | FFQ | Dietary and total vitamin D intakes were inversely associated with GDM risk | NA |
Benaim et al., 2018 [19] | 2009–2011 | Cohort | NA | Pregnant women | 154 | 22–31 | Brazil | Upper-middle | Food intake 6 mo before pregnant | Changes of serum EPA and DHA, total n-3 PUFA, total n-6 PUFA, and omega-6/omega-3 ratio during pregnancy | Recall of diet 6 mo before pregnant | Semi-quantitative FFQ | Healthy dietary pattern was associated with serum fatty acids, however the effect was modified by BMI | NA |
Bowers et al., 2012 [33] | 1991–2001 | Cohort | Nurses’ Health Study II | Non-pregnant women | 13 475 | 22–44 | USA | High | Fat intake | GDM | Before pregnant | Semi-quantitative FFQ | Higher consumption of dietary cholesterol and animal fat was associated with GDM | NA |
Chen et al., 2009 [41] | 1992–2001 | Cohort | Nurses’ Health Study II | Non-pregnant women | 13 475 | 24–44 | USA | High | Sugar-sweeetend beverage intake | GDM | Before pregnant | Semi-quantitative FFQ | Sugar-sweetened cola was associated with the risk of GDM | NA |
Chen et al., 2012 [37] | 1991–2001 | Cohort | Nurses’ Health Study II | Non-pregnant women | 13 475 | 24–44 | USA | High | Fruit and fruit juice intake | GDM | Before pregnant | Semi-quantitative FFQ | Apple intake was associated with lower risk of GDM | NA |
Chen et al., 2019 [39] | 2018 | Case-control | NA | Pregnant women | 260 | Child-bearing age | China | Upper-middle | Pre-pregnancy probiotic yogurt intake | GDM | Recall | Structured questionnaire | No association | NA |
Dhana et al., 2018 [28] | 1989–2013 | Cohort | Nurses’ Health Study II | Non-pregnant women | 4698 | 25–42 | USA | High | Alternate HEI 2010 | BMI of offspring | Before pregnant | FFQ | NA | No association |
Gaskins et al., 2014 [22] | 1992–2009 | Cohort | Nurses’ Health Study II | Non-pregnant women | 15 950 | 24–44 | USA | High | Alternate HEI 2010, alternate MeD, and fertility diet | Pregnancy loss | Before pregnant | Semi-quantitative FFQ | No association | |
Gaskins et al., 2018 [40] | 1991–2009 | Cohort | Nurses’ Health Study II | Non-pregnant women | 15 590 | 24–44 | USA | High | Coffee intake | Spontaneous abortion | Before pregnant | FFQ | NA | High coffee consumption was associated with the increased risk of spontaneous abortion |
Gete et al., 2021 [30] | 2003–2016 | Cohort | Australian Longitudinal Study in Women’s Health (ALSWH) and Mother and Their Children’s Health Study (MatCH) | Non-pregnant women | 1554 | 25–30 | Australia | High | HEI 2015 | Child behavioral problems using Strengths and Difficulties Questionnaire (SDQ) | Before pregnant | Semi-quantitative FFQ | NA | Better diet quality was associated with lower risk of offspring total behavioral difficulties, externalizing score, hyperactivity, and peer problems |
Gete et al., 2021 [29] | 1996–2015 | Cohort | ALSWH and MatCH | Non-pregnant women | 1936 | 18–23 | Australia | High | HEI 2015 | Childhood BMI of the offspring | Before pregnant | Semi-quantitative FFQ | NA | High diet quality was associated with reduced risk of underweight and obesity |
Gicevic et al., 2018 [25] | 1991–2001 | Cohort | Nurses’ Health Study II | Non-pregnant women | 41 229 | 24–44 | USA | High | Dietary diversity (FGI and MDD-W) and dietary quality (alternate HEI 2010 and PDQS) | GDM and hypertensive disorder in pregnancy | Before pregnant | Semi-quantitative FFQ | Alternate HEI-2010 and PDQS were associated with a lower risk of GDM | NA |
Grieger et al., 2016 [17] | 2009–2013 | Cross-sectional | NA | Pregnant asthmatic women | 309 | >18 | Australia | High | Pre-pregnancy protein; fat and sugar; and vegetarian diet | Asthma control | Recall 12 mo before pregnancy | FFQ | High fat and sugar diet was associated with uncontrolled asthma | NA |
Grieger et al., 2019 [32] | 2009–2013 | Cohort | NA | Pregnant women | 234 | >18 | Australia | High | Food intake 12 mo before pregnant | Allergies in children | Recall of diet 12 mo before pregnant | FFQ | NA | Dairy, fresh fruit, unsaturated and saturated spreads, takeaway foods, and non-oily fish were protective against some types of allergies. Poultry and fruit juice were adversely associated with allergy |
Hillesund et al., 2018 [23] | 2009–2013 | Post-hoc observational study | Norwegian Fit for Delivery (NFFD) | Pregnant women | 591 | >18 | Norway | High | NFFD diet score pre-pregnancy recall | Gestational weight gain, preterm delivery, birth anthropometry, GDM, preeclampsia | Recall | FFQ | A higher diet score was associated with a lower risk of excessive weight gain | A higher diet score was associated with a lower risk of preterm delivery |
Jarman et al., 2018 [24] | 2009–2012 | Cohort | Alberta Pregnancy Outcomes and Nutrition (APrON) study | Pregnant women | 1598 | >16 | Canada | High | Pre-pregnancy healthy eating pattern score | Gestational hypertension and GDM | Recall of diet 12 mo before pregnancy | FFQ | A higher healthy eating pattern score was associated with lower odds of gestational hypertension | NA |
Lamyian et al., 2017 [34] | 2010–2011 | Cohort | NA | Pregnant women in prenatal clinic | 1054 | 18–45 | Iran | Lower-middle | Fast food consumption in the previous year | GDM | Recall of diet in previous year | Semi-quantitative FFQ | Fast food intake was significantly associated with increased risk of developing GDM | NA |
Lawande et al., 2018 [44] | 2006–2012 | RCT | Mumbai Maternal Nutrition Project | Non-pregnant women | 6513 | 22–28 | India | Lower-middle | Food-based micronutrient-rich snack | Fetal size and growth | Before pregnant | NA | NA | No association |
Van Lippevelde et al., 2021 [20] | 1995–2008 | Cohort | Young-HUNT study | Adolescent | 8980 | <19 | Norway | High | Dietary and meal patterns | Birth anthropometry | Before pregnant | Self-reported questionnaire | NA | Higher energy-dense food consumption was associated with the risk of LBW |
Mari-Sanchis et al., 2018 [36] | 1999–2012 | Cohort | The SUN Project | Non-pregnant women | 3298 | Child-bearing age | Spain | High | Meat consumption and iron intake | GDM | Up to 2 y before pregnant | Semi-quantitative FFQ | Higher meat consumption associated with increased risk of GDM | NA |
Mohammed et al., 2020 [42] | 2011–2014 | RCT | NA | Non-pregnant women | 1220 | ≥18 | Ethiopia | Low | Iodized salt intervention | Cognition of offspring | Before pregnant | 24-hr food frequency interview | NA | Offspring’s cognitive scores were better in intervention group compared to control |
Olmedo-Requena et al., 2019 [13] | n/a | Case-control | NA | Pregnant women with GDM | 1466 | >18 | Spain | High | Pregnancy with GDM | Pre-pregnancy adherence to MeD | Recall of diet in previous year before pregnant | FFQ | Very high adherence to MeD was associated with reduced GDM case; Low consumption of meat and its derivatives were protective of GDM | NA |
Potdar et al., 2014 [45] | 2006–2012 | RCT | Mumbai Maternal Nutrition Project | Non-pregnant women | 6513 | <40 | India | Lower-middle | Micronutrient-rich vegetarian snack | Birth weight | ≥90 day before last menstrual period | NA | NA | Micronutrient-rich snack was associated higher birth weight and lower low-birth weight outcome |
Sahariah et al., 2022 [46] | 2006–2011 | RCT | Mumbai Maternal Nutrition Project | Non-pregnant women | 1255 | Child-bearing age | India | Lower-middle | Micronutrient-rich vegetarian snack | Cardiometabolic risk markers and body composition in offspring (5–10 y follow up after intervention) | Before pregnant | NA | NA | No association |
Siega-Riz et al., 2021 [27] | 2008–2011 | Cohort | Hispanic Community Health Study | Non-pregnant women | 497 | 18–44 | USA | High | HEI 2010 | infant birth weight | Mean of 3.2 y before pregnancy | 24-hr food recall | NA | High dietary quality was associated with infant birth weight |
Teixeira et al., 2021 [21] | 2011–2013 | Cohort | ProcriAr study | Pregnant women | 299 | Child-bearing age | Brazil | Upper-middle | Pre-pregnancy dietary pattern | Newborn anthropometry | Recall of diet in previous 12 mo | FFQ | NA | Energy-dense nutrient-poor pre-pregnancy diet was a risk factor for SGA newborn |
Tobias et al., 2012 [14] | 1991–2001 | Cohort | Nurses’ Health Study II | Non-pregnant women | 15 254 | 24–44 | USA | High | MeD, DASH, and alternate HEI scores | GDM | Before pregnant | Semi-quantitative FFQ | Adherence to alternate MeD, DASH, and alternate HEI dietary patterns was associated with lower GDM risk | NA |
Valkama et al., 2018 [10] | 2008–2014 | RCT | RADIEL Study | Non-pregnant women | 75 | ≥18 | Finland | High | Dietary counselling and diet | GDM | Before pregnant | FFQ | Low-fat cheese consumption was associated with lower GDM risk | NA |
Vilela et al., 2014 [18] | 2009–2011 | Cohort | NA | Pregnant women | 248 | 20–40 | Brazil | Upper-middle | Pre-pregnancy dietary pattern | Depressive symptoms during pregnancy | Recall 6 mo before pregnancy | Semi-quantitative FFQ | Health dietary pattern was associated with lower risk of depressive symptoms | NA |
Yee et al., 2020 [26] | 2010–2013 | Cohort | The Nulliparous Pregnancy Outcomes Study: Monitoring Mothers-To-Be (nuMoM2b) | Pregnant women | 8259 | >13 | USA | High | Preconception HEI 2010 | Maternal pregnancy morbidities and child birth outcomes | Recall of diet 3 mo before conception | Semi-quantitative FFQ | Poor dietary quality was associated with postpartum hemorrhage, hypertensive disorder in pregnancy, and caesarean delivery | Poor dietary quality was associated with higher preterm birth, NICU admission, SGA, and LBW, however lower risk of macrosomia |
Yong et al., 2020 [15] | Cohort | TheSeremban Cohort Study (SECOST) | Pregnant women | 737 | Child-bearing age | Malaysia | Upper-middle | Pre-pregnancy dietary pattern | GDM | Recall of diet before pregnancy in the first trimester | Semi-quantitative FFQ | High sugar and fat diet reduced the risk of GDM | NA |
Study | Study design | Sample size (study) | Exposure variable | Outcome variable | Maternal health finding(s) | Child health finding(s) |
---|---|---|---|---|---|---|
Cui et al., 2021 [47] | Meta-analysis | 38 | Pre-pregnancy diet | GDM | Higher pre-pregnancy consumption of fried food, fast food, red and processed meat, heme iron, and low-carbohydrate diet pattern were associated with increased risk of gestational diabetes mellitus; Higher intake of dietary fiber was associated with lower risk of gestational diabetes mellitus | High pre-pregnancy caffeine intake was associated with increased risk of small-for-gestational age. |
Tieu et al., 2017 [48] | Systematic review | 0 | Interconception intervention | Maternal and child morbidity | NA | NA |
Stephenson et al., 2018 [49] | Review | NA | Preconception diet | Maternal and child morbitdity | Diet before pregnancy may modify maternal outcomes through BMI status and micronutrient deficiency | Diet before pregnancy may modify prenatal outcomes through BMI status and micronutrient deficiency |
Temel et al., 2014 [50] | Systematic review | 44 | Preconceptional nutrition support | Maternal and child health | NA | Long-term nutritional support was associated with a positive effect on birth weight |
Hanson et al., 2012 [51] | Review | NA | Pre-pregnancy diet | NCD | NA | Maternal diet before pregnancy are related to phenotypic characteristics of the child, such as adiposity at birth and in childhood, and markers of cardiovascular risk |
Pre-pregnancy diet variables | Observed outcome | ||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| |||||||||||||||
Maternal outcome | Child outcome | ||||||||||||||
|
| ||||||||||||||
GDM | Hypertension in pregnancy | Nutritional status | Type of delivery | Asthma | Depression | Cardiometabolic serum marker | Fetal and newborn anthropometry | Preterm birth and neonatal morbidity | Spontaneous abortion and Infant mortality | Child nutrition status | Allergy and eczema | Cognitive and behaviour | Cardiometabolic risk | Total (n) | |
Diet counselling | [10] | 1 | |||||||||||||
| |||||||||||||||
Dietary pattern | [11] |
[16] |
[17] | [18] | [19] |
[20] |
[16] |
[22] | 13 | ||||||
| |||||||||||||||
Dietary quality | [23] |
[23] |
[23] |
[26] |
[23] |
[23] |
[28] |
[30] | 16 | ||||||
| |||||||||||||||
Dietary diversity | [25] |
[25] |
2 | ||||||||||||
| |||||||||||||||
Food component | |||||||||||||||
| |||||||||||||||
Fried food | [31] |
1 | |||||||||||||
| |||||||||||||||
General food | [32] | 1 | |||||||||||||
| |||||||||||||||
Dietary fat | [33] |
[17] | 2 | ||||||||||||
| |||||||||||||||
Fast food | [10], [34] |
2 | |||||||||||||
| |||||||||||||||
Dairy | [10] | 1 | |||||||||||||
| |||||||||||||||
Protein intake | [10], [35] |
[17] | 3 | ||||||||||||
| |||||||||||||||
Meat | [36] |
1 | |||||||||||||
| |||||||||||||||
Fish | [10] | 1 | |||||||||||||
| |||||||||||||||
Fruit | [10], [37] | 2 | |||||||||||||
| |||||||||||||||
Vegetables and legumes | [10] | 1 | |||||||||||||
| |||||||||||||||
Potato | [38] |
1 | |||||||||||||
| |||||||||||||||
Bread, cereal, grains | [10] | 1 | |||||||||||||
| |||||||||||||||
Probiotic yogurt | [39] |
1 | |||||||||||||
| |||||||||||||||
Caffeine | [40] |
1 | |||||||||||||
| |||||||||||||||
Sugar-sweetened beverage and sugary snacks | [10], [41] |
[17] | 3 | ||||||||||||
| |||||||||||||||
Food-based micronutrient | |||||||||||||||
| |||||||||||||||
Iodized salt intake | [42] |
1 | |||||||||||||
| |||||||||||||||
Dietary vitamin D | [43] |
1 | |||||||||||||
| |||||||||||||||
Food-based micronutrient-rich snack | [44], [45] | [46] | 3 | ||||||||||||
| |||||||||||||||
Total (n) | 28 | 4 | 1 | 2 | 4 | 1 | 1 | 7 | 3 | 2 | 2 | 1 | 2 | 1 |
RCT, randomized controlled trial; FFQ, Food-frequency questionnaire; HEI, Healthy Eating Index; MeD, Mediterranean diet; DASH, dietary approach to stop hypertension; NFFD, Norwegian fit for delivery diet; FGI, Food Groups Index; MDD-W, minimum dietary diversity for women; PDQS, Prime Diet Quality Score; GDM, gestational diabetes mellitus; NICU, neonatal intensive care unit; LGA, large-for-gestational age; SGA, small-for-gestational age; LBW, low birth weight; EPA, eicosapentaenoic acid; PUFA, polyunsaturated fatty acid; BMI, body mass index; NA, not available. World Bank classification.
GDM, gestational diabetes mellitus; NCD, non-communicable disease; BMI, body mass index; NA, not available.
GDM, gestational diabetes mellitus. Study with good quality.