Validation of a Complementary Food Frequency Questionnaire to assess infant nutrient intake

Judd, Amy; Beck, Kathryn; McKinlay, Christopher J. D.; Jackson, Ashleigh; Conlon, Cathryn A.

doi:10.1111/mcn.12879

Cited by 9 publications

(10 citation statements)

References 33 publications

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“…At 9 mo, mothers completed an infant FFQ and fruit/vegetable preference questionnaire online. The FFQ was an abbreviated version of a validated questionnaire and measured infants’ daily vegetable and fruit intake ( 33 ). The total grams consumed over 4 d was divided by 4 to obtain an average daily intake.…”

Section: Methodsmentioning

confidence: 99%

Starting complementary feeding with vegetables only increases vegetable acceptance at 9 months: a randomized controlled trial

Rapson

Hurst

Hetherington

et al. 2022

The American Journal of Clinical Nutrition

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Background Starting complementary feeding (CF) with vegetables only may improve vegetable acceptance throughout childhood. Objectives We aimed to test whether exposure to vegetables only during the first 4 wk of CF increases later vegetable acceptance compared with a control group receiving fruit and vegetables. Methods In this randomized, controlled, parallel-group study, 117 Auckland infants received either vegetables only (veg-only, n = 61) or a combination of fruit and vegetables (control, n = 56) for a duration of 4 wk, starting from the first day of CF at ∼4–6 mo of age. The primary outcome measure was intake of target vegetables (broccoli, spinach) provided by the study at 9 mo of age. Daily intake of vegetables (FFQs) at 9 mo was a supporting measure. Infants’ iron status (serum ferritin, hemoglobin) was examined at all time points. Results The veg-only infants consumed more broccoli and spinach than controls [mean difference (95% CI): 11.83 (0.82, 22.84) g, P = 0.036 and 10.19 (0.50, 19.87) g, P = 0.039, respectively]. Intake of pear was comparable among intervention groups (P = 0.35). At 9 mo, veg-only infants consumed target vegetables at a faster rate [mean difference (95% CI): broccoli, 3.37 (1.26, 5.47), P = 0.002; spinach, 4.12 (0.80, 7.45), P = 0.016] and showed greater acceptance for target vegetables [mean difference (95% CI): broccoli, 0.38 (0.07, 0.70), P = 0.019; spinach, 032 (0.04, 0.60), P = 0.024] than controls. The rate of eating and acceptance of pear was comparable among intervention groups (P = 0.42 and P = 0.98, respectively). Also, veg-only infants consumed more vegetables than controls [86.3 (52.5, 146.3) compared with 67.5 (37.5, 101.3) g, respectively, P = 0.042]. Introducing vegetables as the first food was not associated with 9-mo iron status. Conclusions Providing vegetables as first foods increased vegetable intake at 9 mo of age and may be an effective strategy for improving child vegetable consumption and developing preferences for vegetables in infancy.

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Section: Methodsmentioning

confidence: 99%

Starting complementary feeding with vegetables only increases vegetable acceptance at 9 months: a randomized controlled trial

Rapson

Hurst

Hetherington

et al. 2022

The American Journal of Clinical Nutrition

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“…Breastmilk and formula intakes are also measured in this validated tool. Measurement units: Continuous: nutrient values Categories: meeting dietary guidelines Analysis: Compare the mean/median and SD/IQR and meeting guidelines (yes/no) - Postpartum (12 months) [ 53 ] Health status Patient-Oriented SCORing Atopic Dermatitis (PO-SCORAD) Incidence of infections, eczema, and atopic dermatitis will be assessed using the PO-SCORAD, a self-assessment tool for use by parents which has been validated in 12 European countries. Measurement units: Continuous: PO-SCORAD Score (0–90) Categories: incidence of infections, eczema, and atopic dermatitis (yes/no) Analysis: Compare the mean/median and SD/IQR and incidences - Postpartum (12 months) [ 54 ] Health costs Adapted questionnaires from the InFANT Extend Study and the Infant Feeding Practices Study II Participant employment, childcare, and out of pocket costs will be estimated by self-completed questionnaires derived from the Infant Feeding Practices Study II.…”

Section: Methodsmentioning

confidence: 99%

Bump2Baby and Me: protocol for a randomised trial of mHealth coaching for healthy gestational weight gain and improved postnatal outcomes in high-risk women and their children

O’Reilly

Burden

Campoy

et al. 2021

Trials

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Background Gestational diabetes (GDM) impacts 8–18% of pregnancies and greatly increases both maternal and child risk of developing non-communicable diseases such as type 2 diabetes and obesity. Whilst lifestyle interventions in pregnancy and postpartum reduce this risk, a research translation gap remains around delivering implementable interventions with adequate population penetration and participation. Impact Diabetes Bump2Baby is an implementation project of an evidence-based system of care for the prevention of overweight and obesity. Bump2Baby and Me is the multicentre randomised controlled trial investigating the effectiveness of a mHealth coaching programme in pregnancy and postpartum for women at high risk of developing GDM. Methods Eight hundred women will be recruited in early pregnancy from 4 clinical sites within Ireland, the UK, Spain, and Australia. Women will be screened for eligibility using the validated Monash GDM screening tool. Participants will be enrolled from 12 to 24 weeks’ gestation and randomised on a 1:1 basis into the intervention or control arm. Alongside usual care, the intervention involves mHealth coaching via a smartphone application, which uses a combination of synchronous and asynchronous video and text messaging, and allows for personalised support and goal setting with a trained health coach. The control arm receives usual care. All women and their children will be followed from early pregnancy until 12 months postpartum. The primary outcome will be a difference in maternal body mass index (BMI) of 0.8 kg/m2 at 12 months postpartum. Secondary maternal and infant outcomes include the development of GDM, gestational weight gain, pregnancy outcomes, improvements in diet, physical activity, sleep, and neonatal weight and infant growth patterns. The 5-year project is funded by the EU Commission Horizon 2020 and the Australian National Health and Medical Research Council. Ethical approval has been received. Discussion Previous interventions have not moved beyond tightly controlled efficacy trials into routine service delivery. This project aims to provide evidence-based, sustainable support that could be incorporated into usual care for women during pregnancy and postpartum. This study will contribute evidence to inform the early prevention of non-communicable diseases like obesity and diabetes in mothers and the next generation. Trial registration Australian New Zealand Clinical Trials Registry ACTRN12620001240932. Registered on 19 November 2020

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“…Women with a singleton pregnancy and without a previous history of diabetes were eligible for the GEMS Trial if they planned to give birth within the Auckland and Counties Manukau District Health Boards, Auckland, New Zealand. For the BabyGEMS Study, infant follow-up included assessment of nutrient intake at 9 and 12 months using a previously validated four-day complementary food frequency (CFFQ) questionnaire [11]. Questionnaires were completed on electronic case report forms (eCRF) using the REDCap system and checked for completeness by a member of the research team.…”

Section: Study Populationmentioning

confidence: 99%

“…It has been designed to be completed as a web-based survey using the REDCap database system [16]. Its use at 9 to 12 months of age to estimate nutrient intake has been validated against a four-day weighed food diary [11]. It provided valid estimates of nutrient intakes for 14 out of 19 nutrients and demonstrated good reproducibility for all nutrients [11].…”

Section: Cffqmentioning

confidence: 99%

“…We have previously developed a four-day Complementary Food Frequency Questionnaire (CFFQ) for infants and compared this to a four-day weighed food diary. The CFFQ had acceptable relative validity and good reproducibility for assessing nutrient intake in New Zealand infants aged 9 to 12 months [11]. Nutrient intakes from the CFFQ were estimated by multiplying the frequency of per day consumption of each food by the nutrient content of the portion size and adding these products across all food items.…”

Section: Introductionmentioning

confidence: 99%

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Development and Evaluation of an Automated Algorithm to Estimate the Nutrient Intake of Infants from an Electronic Complementary Food Frequency Questionnaire

Manerkar¹,

Harding²,

Conlon³

et al. 2020

Int. J. Child Health Nutr.

Self Cite

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Background: We previously validated a four-day complementary food frequency questionnaire (CFFQ) to estimate the nutrient intake in New Zealand infants aged 9-12 months. However, manual entry of the CFFQ data into nutritional analysis software was time-consuming. Therefore, we developed an automated algorithm and evaluated its accuracy by comparing the nutrient estimates with those obtained from the nutritional analysis software. Methods: We analysed 50 CFFQ completed at 9- and 12-months using Food Works nutritional analysis software. The automated algorithm was programmed in SAS by multiplying the average daily consumption of each food item by the nutrient content of the portion size. We considered the most common brands for commercially prepared baby foods. Intakes of energy, macronutrients, and micronutrients were compared between methods using Bland-Altman analysis. Results: The automated algorithm did not have any significant bias for estimates of energy (kJ) (MD 15, 95% CI -27, 58), carbohydrate (g) (MD -0.1, 95% CI -1.2,1.0), and fat (g) (-0.1, 95% CI -0.3,0.1), but slightly underestimated intake of protein (MD -0.4 g, 95% CI -0.7,-0.1), saturated fat, PUFA, dietary fibre, and niacin. The algorithm provided accurate estimates for other micronutrients. The limits of agreement were relatively narrow. Conclusion: This automated algorithm is an efficient tool to estimate the nutrient intakes from CFFQ accurately. The small negative bias observed for few nutrients was clinically insignificant and can be minimised. This algorithm is suitabl

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Validation of a Complementary Food Frequency Questionnaire to assess infant nutrient intake

Cited by 9 publications

References 33 publications

Starting complementary feeding with vegetables only increases vegetable acceptance at 9 months: a randomized controlled trial

Starting complementary feeding with vegetables only increases vegetable acceptance at 9 months: a randomized controlled trial

Bump2Baby and Me: protocol for a randomised trial of mHealth coaching for healthy gestational weight gain and improved postnatal outcomes in high-risk women and their children

Development and Evaluation of an Automated Algorithm to Estimate the Nutrient Intake of Infants from an Electronic Complementary Food Frequency Questionnaire

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