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Objective@#To investigate the level of maternal and infant health literacy and its influencing factors among lying-in women, so as to provide insights into formulating maternal and infant health education and promotion strategies. @*Methods@# Lying-in women were sampled from Children's Hospital of Shanxi using a cluster sampling method from March to September 2022. Demographic characteristics, maternal and infant health literacy, and health education demands were collected through a questionnaire survey. Factors affecting maternal and infant health literacy among lying-in women were identified using a multivariable logistic regression model. @*Results@#A total of 1 099 questionnaires were allocated, and 1 059 valid questionnaires were recovered, with an effective rate of 96.36%. Participants had a mean age of (30.93±4.01) years, 930 urban residents (87.82%), and 706 pluripara (66.67%). The overall prevalence of maternal and infant health literacy was 35.51% among lying-in women, and the prevalence rates of basic knowledge and concept, healthy lifestyles and behaviors and basic skills were 47.69%, 83.10% and 38.81%, respectively. Multivariable logistic regression analysis showed that educational level (diploma or undergraduate degree, OR=3.916, 95%CI: 1.250-9.031; master degree and above, OR=4.557, 95%CI: 1.498-11.460), occupation (company employees, OR=2.701, 95%CI: 1.385-5.268; medical staff, OR=2.981, 95%CI: 1.289-6.893), pluripara (OR=5.649, 95%CI: 3.919-8.142), participating in health education activities (OR=2.332, 95%CI: 1.524-3.570), and participating in schools for pregnant women (OR=2.252, 95%CI: 1.541-3.291) were promoting factors for maternal and infant health literacy; while gestational hypertension (OR=0.255, 95%CI: 0.133-0.488) and gestational diabetes (OR=0.318, 95%CI: 0.211-0.478) were inhibiting factors for maternal and infant health literacy. Most participants acquired health knowledge through online media (62.42%), and hoped to participate in health education activities through online media publicity (68.18%).@* Conclusions @#The maternal and infant health literacy level of lying-in women in this survey is associated with education, occupation, parturition frequency, participation in health education activities, participation in schools for pregnant women, gestational hypertension and gestational diabetes.
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Objective@#To investigate the difference in behavioral characteristics among different phenotypes of attention deficit hyperactivity disorder (ADHD) using amplitude of low-frequency fluctuation (ALFF), so as to provide insights into clinical differentiation of behavioral characteristics among different phenotypes of ADHD.@*Methods@#The children with ADHD admitted to The Affiliated Hospital of Hangzhou Normal University were enrolled and classified into the inattentive type (ADHD-I), hyperactive/impulsive type (ADHD-HI) and combined type (ADHD-C). The reaction time (RT) was measured using integrated visual and auditory continuous performance test, and the mean (RT-mean) and standard deviation of RT (RT-SD) were estimated. In addition, the ALFF was calculated at 0.010 to 0.027, 0.027 to 0.073, 0.073 to 0.167 Hz, and the difference of ALFF was compared among children with different types of ADHD. @*Results@#A total of 107 children with ADHD were enrolled, including 95 boys and 12 girls, with a mean age of (8.89±1.93) years. There were 69 children with ADHD-I, 8 children with ADHD-HI and 30 children with ADHD-C. The RT-SD was significantly higher among children with ADHD-C than among children with ADHD-I [(126.003±51.619) ms vs. (97.720±45.302) ms; P=0.007]; however, there was no significant difference in RT-mean among children with various ADHD phenotypes (F=1.386, P=0.255). There was an interaction between frequency and ADHD phenotypes (F=2.754, P=0.032), and the ALFF was significantly higher among children with ADHD-C than among children with ADHD-I at 0.010 to 0.027 [(5 590.567±231.595) ms vs. (4 694.001±154.397) ms; P=0.002] and 0.073 to 0.167 Hz [(4 312.609±174.709) ms vs. (3 690.805±116.473) ms; P=0.005].@*Conclusions @#The ALFF varies in ADHD phenotypes, and there is a frequency-specific difference.
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Objective To explore the method and effect of computer simulative model of lying-in women in the teaching of gynecological nursing. Methods We separated 171 nursing students in grade 2005 into the control group (85 students) and the experimental group (86 students). For the experimental group the teaching method of computer simulative model of lying-in women was used. For the control group we used the traditional teaching method. The effects of two teaching methods were compared. Results The examination achievement of the experimental group was more than that of the control group and 93% nursing students of grade 2005 approbated this teaching method. Conclusions Introducing computer simulative model of lying-in women into the teaching of gynecological nursing can not only improve the effect of teaching, stimulate studying interest and cultivate unity and cooperation ability.