Maternal Health and Nutrition Status, Human Milk Composition, and Growth and Development of Infants and Children: A Prospective Japanese Human Milk Study Protocol.
Keisuke NojiriShunjiro KobayashiSatoshi HigurashiTomoki TakahashiYuta TsujimoriHiroshi M UenoShiomi Watanabe-MatsuhashiYasuhiro TobaJunichi YamamuraTaku NakanoHaruko HiraikeToshiya KobayashiPublished in: International journal of environmental research and public health (2020)
It is unknown whether maternal health and nutrition are related to human milk composition or growth and development of infants and children. Here, we describe a protocol for a prospective five-year cohort study to clarify (i) how maternal health and nutrition, socioeconomic factors, and lifestyles affect human milk composition, and (ii) whether these are associated with growth and development of infants and children. In our study, we recruited 1210 Japanese mothers with singleton pregnancies from 73 obstetrics clinics and hospitals across Japan, between 2014 and 2019. We will measure the following: health information regarding maternal-child dyads using a self-administered questionnaire, maternal nutrition during breastfeeding using a Brief self-administrated Diet History Questionnaire, the development of infants and children using the Kinder Infant Development Scale, and the stress related to child rearing using the Mother's Child Care Stress Scale. Simultaneously, we will collect human milk every 2 months during the first year after birth to measure its composition and levels of macronutrients. This study will generate useful data to investigate whether health status, nutritional status, lifestyle, and socioeconomic factors affect human milk composition and the growth and development of infants and children.
Keyphrases
- human milk
- low birth weight
- health information
- healthcare
- preterm infants
- preterm birth
- physical activity
- mental health
- birth weight
- young adults
- public health
- pregnancy outcomes
- randomized controlled trial
- primary care
- cardiovascular disease
- gestational age
- social media
- type diabetes
- risk assessment
- body mass index
- electronic health record
- weight gain
- patient reported