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Background  The purpose of this study was to analyze the growth status and to identify the risk factors that influence the catch-up growth of preterm infants after discharge and to provide evidence for feeding strategies and the need for further research.    Methods  A descriptive correlational analysis was applied. The sample consisted of 309 preterm infants and their caregivers selected from June to August 2017 from five women’s and children’s hospitals. Self-designed questionnaires based on knowledge, attitude and practice and the Health Belief Model (HBM) were used to measure the catch-up growth status of preterm infants after discharge. Logistic regression was used to determine the risk factors for the catch-up growth of preterm infants.    Results  The results showed that of 309 preterm infants, only 14 (4.5%) were underweight, and 52 (17.4%) did not meet the criteria for catch-up growth at 12 months of actual age. The logistic regression analysis showed that gestational age, regular health care, caregivers’ educational background, mothers’ daily contact with the baby, monthly average family income, the addition of a breast milk supplement, and daily milk volume were risk factors that affected the catch-up growth of preterm infants after discharge.    Conclusions  The rate of catch-up growth of preterm infants is still not high. We should pay much more attention to preterm infants of small gestational age and guide their child care on a regular basis to detect and correct risk factors in a timely fashion, especially those involving lower daily milk volume, lower degree of culture and family economic difficulties. Second, we suggest that the government publish relevant policy that appropriately increases the length of maternity leave for preterm mothers. Future studies should have larger sample sizes and explore other important factors influencing the catch-up growth of preterm infants.

Factors affecting the catch-up growth of preterm infants after discharge in China: a multicenter study based on the health belief model