Integrative development of a concise screening questionnaire for early detection of pregnant women at risk for dystrophy

Abstract Background Maintaining a healthy diet during pregnancy is vital for reducing the risk of adverse birth outcomes. However, conventional methods of assessing the dietary behavior of pregnant women, such as the FFQ, are often time-consuming. This study aims to develop a concise nutritional scr...

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Main Authors: Yadi Zhang, Xiaoge Gao, Haiyan Zhu, Qi Zhou, Xiaxia Cai, Pamela Ann Koch, Shengzhi Sun, Huanling Yu
Format: Article
Language:English
Published: BMC 2024-12-01
Series:BMC Pregnancy and Childbirth
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Online Access:https://doi.org/10.1186/s12884-024-07051-4
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author Yadi Zhang
Xiaoge Gao
Haiyan Zhu
Qi Zhou
Xiaxia Cai
Pamela Ann Koch
Shengzhi Sun
Huanling Yu
author_facet Yadi Zhang
Xiaoge Gao
Haiyan Zhu
Qi Zhou
Xiaxia Cai
Pamela Ann Koch
Shengzhi Sun
Huanling Yu
author_sort Yadi Zhang
collection DOAJ
description Abstract Background Maintaining a healthy diet during pregnancy is vital for reducing the risk of adverse birth outcomes. However, conventional methods of assessing the dietary behavior of pregnant women, such as the FFQ, are often time-consuming. This study aims to develop a concise nutritional screening questionnaire tailored for pregnant women, empowering prenatal healthcare providers to quickly identify key adverse dietary behaviors and provide targeted guidance. Methods To validate the Pregnancy Nutrition Checklist, we enrolled 208 women in early pregnancy and 200 women were included to analysis (with an average age of 31.54 ± 4.24 years). Spearman rank correlation analysis was used to assess the relative reliability of the Pregnancy Nutrition Checklist compared with the FFQ scale. Exploratory factor analysis was used to test the structural validity of the scale. A generalized linear model was used to analyze the correlation between dietary behavior and birth weight. Results The pregnancy nutrition checklist includes 15 dietary items and 3 other lifestyle habit items. Compared with traditional FFQ questionnaires, the correlation analysis of corresponding items in the pregnancy nutrition checklist revealed statistical significance (p < 0.05), except for fat intake. EFA identified three underlying factors, namely, “high-fat foods,” “moderate-fat foods,” and “low-fat foods,” indicating that the questionnaire has good construct validity. Insufficient consumption of vegetables by pregnant women(OR = 2.64, 95% CI: 1.08–6.46, p = 0.033) was associated with a significantly greater risk of developing LGA fetuses. Pregnant women whose sugar, coffee, or tea intake did not exceed the classification criteria had significantly greater fetal birth weights than those whose intake exceeded the classification criteria (OR = 3.38, 95% CI: 1.18–9.68, p = 0.023). In contrast, consuming fewer highly palatable snacks can reduce the incidence of LGA babies (OR = 0.29, 95% CI: 0.11–0.74, p = 0.010). Conclusions This tool has great potential for identifying unhealthy dietary behaviors, potentially leading to improved pregnancy outcomes. Trial registration This study was preregistered on May 5, 2023, at the Chinese Clinical Trial Registry (ChiCTR2300071126).
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spelling doaj-art-65aa7b79fdcf43b0ad794fa13e26d43d2025-08-20T02:43:37ZengBMCBMC Pregnancy and Childbirth1471-23932024-12-0124111110.1186/s12884-024-07051-4Integrative development of a concise screening questionnaire for early detection of pregnant women at risk for dystrophyYadi Zhang0Xiaoge Gao1Haiyan Zhu2Qi Zhou3Xiaxia Cai4Pamela Ann Koch5Shengzhi Sun6Huanling Yu7School of Public Health, Beijing Key Laboratory of Environmental Toxicology, Capital Medical UniversityProgram in Nutrition, Department of Health Studies & Applied Educational Psychology, Teachers College, Columbia UniversityFuXing Hospital, Capital Medical UniversityXuanwu Hospital Capital Medical UniversitySchool of Public Health, Beijing Key Laboratory of Environmental Toxicology, Capital Medical UniversityProgram in Nutrition, Department of Health Studies & Applied Educational Psychology, Teachers College, Columbia UniversitySchool of Public Health, Beijing Key Laboratory of Environmental Toxicology, Capital Medical UniversitySchool of Public Health, Beijing Key Laboratory of Environmental Toxicology, Capital Medical UniversityAbstract Background Maintaining a healthy diet during pregnancy is vital for reducing the risk of adverse birth outcomes. However, conventional methods of assessing the dietary behavior of pregnant women, such as the FFQ, are often time-consuming. This study aims to develop a concise nutritional screening questionnaire tailored for pregnant women, empowering prenatal healthcare providers to quickly identify key adverse dietary behaviors and provide targeted guidance. Methods To validate the Pregnancy Nutrition Checklist, we enrolled 208 women in early pregnancy and 200 women were included to analysis (with an average age of 31.54 ± 4.24 years). Spearman rank correlation analysis was used to assess the relative reliability of the Pregnancy Nutrition Checklist compared with the FFQ scale. Exploratory factor analysis was used to test the structural validity of the scale. A generalized linear model was used to analyze the correlation between dietary behavior and birth weight. Results The pregnancy nutrition checklist includes 15 dietary items and 3 other lifestyle habit items. Compared with traditional FFQ questionnaires, the correlation analysis of corresponding items in the pregnancy nutrition checklist revealed statistical significance (p < 0.05), except for fat intake. EFA identified three underlying factors, namely, “high-fat foods,” “moderate-fat foods,” and “low-fat foods,” indicating that the questionnaire has good construct validity. Insufficient consumption of vegetables by pregnant women(OR = 2.64, 95% CI: 1.08–6.46, p = 0.033) was associated with a significantly greater risk of developing LGA fetuses. Pregnant women whose sugar, coffee, or tea intake did not exceed the classification criteria had significantly greater fetal birth weights than those whose intake exceeded the classification criteria (OR = 3.38, 95% CI: 1.18–9.68, p = 0.023). In contrast, consuming fewer highly palatable snacks can reduce the incidence of LGA babies (OR = 0.29, 95% CI: 0.11–0.74, p = 0.010). Conclusions This tool has great potential for identifying unhealthy dietary behaviors, potentially leading to improved pregnancy outcomes. Trial registration This study was preregistered on May 5, 2023, at the Chinese Clinical Trial Registry (ChiCTR2300071126).https://doi.org/10.1186/s12884-024-07051-4Self-reportSurveyAssessmentPregnancyNutrition and dietMalnutrition
spellingShingle Yadi Zhang
Xiaoge Gao
Haiyan Zhu
Qi Zhou
Xiaxia Cai
Pamela Ann Koch
Shengzhi Sun
Huanling Yu
Integrative development of a concise screening questionnaire for early detection of pregnant women at risk for dystrophy
BMC Pregnancy and Childbirth
Self-report
Survey
Assessment
Pregnancy
Nutrition and diet
Malnutrition
title Integrative development of a concise screening questionnaire for early detection of pregnant women at risk for dystrophy
title_full Integrative development of a concise screening questionnaire for early detection of pregnant women at risk for dystrophy
title_fullStr Integrative development of a concise screening questionnaire for early detection of pregnant women at risk for dystrophy
title_full_unstemmed Integrative development of a concise screening questionnaire for early detection of pregnant women at risk for dystrophy
title_short Integrative development of a concise screening questionnaire for early detection of pregnant women at risk for dystrophy
title_sort integrative development of a concise screening questionnaire for early detection of pregnant women at risk for dystrophy
topic Self-report
Survey
Assessment
Pregnancy
Nutrition and diet
Malnutrition
url https://doi.org/10.1186/s12884-024-07051-4
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