Analysis of Anxiety of Pregnant and Lactating Women Concerning Use of Drugs Using Text Mining

作者
Kayoko Takagi,Mitsuko Onda,A Iwaki,Naoki Nishikawa,Yukio Arakawa
出处
期刊:Japanese Journal of Pharmaceutical Health Care and Sciences [Japanese Society of Pharmaceutical Health Care and Sciences]
卷期号:37 (2): 111-117 被引量:9
标识
DOI:10.5649/jjphcs.37.111
摘要

The purpose of this study was to investigate the anxiety of pregnant and lactating women about taking drugs to determinea relationship between the nature of the anxiety and its degree.To do this,we conducted a survey of postpartum lactatingwomen and mothers with children in the GCUs of BFH-certified hospitals.The questions mainly involved the degreeof anxiety about drug use during pregnancy and lactating,and the nature of the anxiety (subject’s own description).Descriptionsof anxiety were analyzed by text mining,and then correspondence analysis was conducted to determine a relationshipbetween the nature of the anxiety and its degree.The results of text mining revealed that there was anxiety concerning the effect of drug use on fetuses,babies,and breastmilk.They also showed that the numbers of respondents who were anxious about drugs prescribed by physicians and thosewho had no anxiety were about the same.Correspondence analysis indicated that there was a connection between the natureof anxiety during pregnancy and lactating and the degree of anxiety.High-anxiety respondents frequently used the words“fetus”and“baby”,while low-anxiety respondents frequently used the word“doctor”in their responses.The above results suggest that the anxiety of pregnant and lactating women concerning drug use stems directly from theeffect drugs might have on the fetus or baby.They also showed that doctors were a factor in relieving such anxiety.Therefore,pharmacists must determine the degree of women’s anxiety concerning drug use and attempt to relieve it by providinginformation on the effects of drug use on the fetus or baby in cooperation with doctors,and in on-demand consultations.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
英俊的铭应助科研通管家采纳,获得10
刚刚
完美世界应助科研通管家采纳,获得10
刚刚
李健应助科研通管家采纳,获得10
刚刚
刚刚
7777完成签到 ,获得积分10
1秒前
CodeCraft应助科研通管家采纳,获得10
1秒前
天天快乐应助科研通管家采纳,获得10
1秒前
十一完成签到,获得积分10
1秒前
1秒前
无花果应助科研通管家采纳,获得10
1秒前
ZYN应助科研通管家采纳,获得10
1秒前
星辰大海应助科研通管家采纳,获得10
1秒前
1秒前
打打应助科研通管家采纳,获得10
1秒前
heihei应助科研通管家采纳,获得10
2秒前
英俊的铭应助科研通管家采纳,获得10
2秒前
yzy应助科研通管家采纳,获得10
2秒前
完美世界应助科研通管家采纳,获得10
2秒前
2秒前
2秒前
2秒前
3秒前
SciGPT应助科研通管家采纳,获得30
3秒前
JEssie完成签到,获得积分10
3秒前
英俊的铭应助科研通管家采纳,获得10
3秒前
3秒前
鬼头神医完成签到,获得积分20
3秒前
winnie完成签到 ,获得积分10
3秒前
Akim应助文艺的冬卉采纳,获得10
4秒前
zzzzzzz发布了新的文献求助10
4秒前
十一发布了新的文献求助10
4秒前
5秒前
5秒前
烟火彼岸完成签到,获得积分10
5秒前
6秒前
6秒前
6秒前
7秒前
7秒前
lxiaok完成签到,获得积分10
8秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
Discerning Saints: Moralization of Intrinsic Motivation and Selective Prosociality at Work 500
Handbuch Trainingswissenschaft – Trainingslehre 500
Additive Manufacturing Design and Applications (ASM Handbook, Volume 24A) 500
Variations: A More Diverse Picture of Contemporary Art 400
Induction Heating and Heat Treatment (ASM Handbook, Volume 4C) 300
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7588478
求助须知:如何正确求助?哪些是违规求助? 9166702
关于积分的说明 19619529
捐赠科研通 7168517
什么是DOI,文献DOI怎么找? 3267066
关于科研通互助平台的介绍 2431958
邀请新用户注册赠送积分活动 2258987