Literature DB >> 30621126

Correction: Savard et al. Trimester-Specific Dietary Intakes in a Sample of French-Canadian Pregnant Women in Comparison with National Nutritional Guidelines. Nutrients 2018, 10, 768.

Claudia Savard1,2,3, Simone Lemieux4,5, S John Weisnagel6,7, Bénédicte Fontaine-Bisson8,9, Claudia Gagnon10,11,12, Julie Robitaille13,14,15, Anne-Sophie Morisset16,17,18.   

Abstract

The authors wish to make the following changes to their paper (Savard et al., 2018 [1]) [...].

Entities:  

Year:  2019        PMID: 30621126      PMCID: PMC6357283          DOI: 10.3390/nu11010084

Source DB:  PubMed          Journal:  Nutrients        ISSN: 2072-6643            Impact factor:   5.717


The authors wish to make the following changes to their paper (Savard et al., 2018 [1]). While re-analyzing our data for a new manuscript (using the same database), we observed that some of our participants’ characteristics were different compared to those presented in our previously published work. The mistakes were unintentional and do not impact the main findings of our paper, as they were only related to descriptive analyses (see below: Table 1; data on pre-pregnancy body mass index (BMI) and household income). Published version: Participants’ characteristics (n = 79). Results section, page 4/14 (as published): 3. Results Characteristics of the participants are presented in Table 1. Of the 86 pregnant women recruited, seven were lost to follow-up, mainly due to miscarriage or lack of time to devote to the project. Therefore, results include 79 pregnant women with a mean age of 32.1 ± 3.7 years and an average pre-pregnancy BMI of 25.7 ± 5.8 kg/m2. The majority of participants were Caucasian (97.5%), had a university degree (78.5%), an annual household income of C$80,000 or more (64.6%), and were multiparous (64.6%). Revised version: Participants’ characteristics (n = 79). Results section, page 4/14 (revised version): 3. Results Participant characteristics are presented in Table 1. Of the 86 pregnant women recruited, seven were lost to follow-up, mainly due to miscarriage or lack of time to devote to the project. Therefore, results include 79 pregnant women with a mean age of 32.1 ± 3.7 years and an average pre-pregnancy BMI of 25.7 ± 5.8 kg/m2. The majority of participants were Caucasian (97.5%), had a university degree (78.5%), an annual household income of C$80,000 or more (63.3%), and were multiparous (64.6%). The authors would like to apologize for any inconvenience caused to the readers by this change. The changes do not affect the results and we apologize for the oversight.
Table 1

Participants’ characteristics (n = 79).

VariablesMean ± SD or N (%)
Age (years)32.1 ± 3.7
Weeks of gestation at baseline (weeks)9.3 ± 0.7
Primiparous28 (35.4)
BMI (kg/m2)25.7 ± 5.8
Underweight4 (5.1)
Normal weight40 (50.6)
Overweight20 (25.3)
Obese15 (19.0)
Ethnicity–Caucasian77 (97.5)
Education
High school4 (5.0)
College13 (16.5)
University62 (78.5)
Household income
<C$40,0005 (6.3)
C$40,000–59,99910 (12.7)
C$60,000–79,99912 (15.2)
C$80,000–99,99918 (22.8)
>C$100,00033 (41.8)
Income missing1 (1.2)
Physical activity level (minutes of moderate and vigorous activity/day)9.3 ± 0.7
First trimester60.5 ± 59.6
Second trimester45.9 ± 51.1
Third trimester35.2 ± 41.5
Table 1

Participants’ characteristics (n = 79).

VariablesMean ± SD or N (%)
Age (years)32.1 ± 3.7
Weeks of gestation at baseline (weeks)9.3 ± 0.7
Primiparous28 (35.4)
BMI (kg/m2)25.7 ± 5.8
Underweight2 (2.5)
Normal weight43 (54.4)
Overweight19 (24.1)
Obese15 (19.0)
Ethnicity–Caucasian77 (97.5)
Education
High school4 (5.0)
College13 (16.5)
University62 (78.5)
Household income
<C$40,0005 (6.3)
C$40,000–59,99910 (12.7)
C$60,000–79,99913 (16.5)
C$80,000–99,99917 (21.5)
>C$100,00033 (41.8)
Income missing1 (1.2)
Physical activity level (minutes of moderate and vigorous activity/day)
First trimester60.5 ± 59.6
Second trimester45.9 ± 51.1
Third trimester35.2 ± 41.5
  6 in total

1.  Energy expenditure during pregnancy: a systematic review.

Authors:  Claudia Savard; Audrée Lebrun; Sarah O'Connor; Bénédicte Fontaine-Bisson; François Haman; Anne-Sophie Morisset
Journal:  Nutr Rev       Date:  2021-03-09       Impact factor: 7.110

2.  Longitudinal Assessment of Vitamin D Status across Trimesters of Pregnancy.

Authors:  Claudia Savard; Agnieszka Bielecki; Anne-Sophie Plante; Simone Lemieux; Claudia Gagnon; Hope A Weiler; Anne-Sophie Morisset
Journal:  J Nutr       Date:  2021-07-01       Impact factor: 4.798

3.  Nutrition during Pregnancy: Findings from the National Institute of Child Health and Human Development (NICHD) Fetal Growth Studies-Singleton Cohort.

Authors:  Stefanie N Hinkle; Cuilin Zhang; Katherine L Grantz; Anthony Sciscione; Deborah A Wing; William A Grobman; Roger B Newman; Mary E D'Alton; Daniel Skupski; Michael P Nageotte; Angela C Ranzini; John Owen; Edward K Chein; Sabrina Craigo; Samrawit F Yisahak; Aiyi Liu; Paul S Albert; Germaine M Buck Louis; Jagteshwar Grewal
Journal:  Curr Dev Nutr       Date:  2020-12-24

Review 4.  Optimizing Maternal Nutrition: The Importance of a Tailored Approach.

Authors:  Lauren R Brink; Tonya M Bender; Rosalind Davies; Hanqi Luo; Derek Miketinas; Neil Shah; Nik Loveridge; Gabriele Gross; Neil Fawkes
Journal:  Curr Dev Nutr       Date:  2022-07-22

5.  Bile acids during pregnancy: Trimester variations and associations with glucose homeostasis.

Authors:  Marianne Gagnon; Jocelyn Trottier; S John Weisnagel; Claudia Gagnon; Anne-Marie Carreau; Olivier Barbier; Anne-Sophie Morisset
Journal:  Health Sci Rep       Date:  2021-02-10

6.  Inadequate vitamin D intake among pregnant women in Malaysia based on revised recommended nutrient intakes value and potential dietary strategies to tackle the inadequacy.

Authors:  Siew Siew Lee; Raman Subramaniam; Maiza Tusimin; King Hwa Ling; Kartini Farah Rahim; Su Peng Loh
Journal:  Nutr Res Pract       Date:  2020-10-16       Impact factor: 1.926

  6 in total

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