Investigation and Risk Factor Analysis of Protein-Energy Malnutrition in Infants ≤ 3 Years Old
Objective To investigate the protein-energy malnutrition in infants≤3 years old,analyze their risk factors,and give feeding guidance suggestions.Methods A total of 860 infants aged 0-3 years who were examined in the child health clinic of Jiaozuo Maternal and Child Health Hospital from January 2021 to June 2022 were selected.Their height(length)and weight were measured,and the basic information of infants was investigated by questionnaire.They were divided into malnutrition group and normal nutrition group according to whether they had protein-energy malnutrition,and the influencing factors of protein-energy malnutrition were analyzed by multivariate logistic regression.Results A total of 860 infants aged 0-3 years were investigated,860 questionnaires were distributed,and 847 valid questionnaires were recovered,with the recovery effective rate of 98.49％(847/860).The incidence of protein-energy malnutrition in 847 infants was 6.38％(54/847),among which the growth retardation rate,low body weight rate and weight loss rate were 5.67％(48/847),2.72％(23/847)and 2.83％(24/847)respectively.The proportion of children aged＞12-24 months old,rural residents,education level of primary school and below of main caregivers,and annual per capita income of families in malnutrition group was higher than that in normal nutrition group(P＜0.05).The results of multivariate logistic regression analysis showed that the age of＞12-24 months,the rural residence,the education level of primary school and below of the main caregivers,and the person capita annual income of families＜20 000 yuan were all independent risk factors for protein-energy malnutrition in infants(P＜0.05).Conclusion The nutritional status of infants≤3 years old needs to be improved.The risk factors for protein-energy malnutrition of infants and young children are＞12-24 months,rural residence,education level of primary school and below of main caregivers,and annual person capita income of families＜20 000 yuan.
万方数据
维普
