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Exploration of Women's Experiences and Technology Usage Before, During, and After Pregnancy in Singapore

2021年11月8日更新者：Prof. Dean Ho、National University of Singapore

This study seek to understand the motivations and contextual influences that can induce and sustain behaviour change to inform future interventions for women before, during and after pregnancy, through a qualitative interview-based assessment of 60 participants. As digital health intervention in pregnant women has been shown to be cost-effective and scalable, the current study also aims to understand women's usage of technology throughout the process of trying to conceive, being pregnant and being a new mother within the local Singapore context.

研究概览

地位

招聘中

条件

怀孕相关

详细说明

Maternal overweight and obesity is a growing public health concern in Singapore. A recent Singaporean prospective cohort study examined 724 pregnant women and reported that 26.2% of the women had a total gestational weight gain (GWG) which exceed the Institute of Medicine's (IOM) 2009 guidelines. When examined based on body mass index (BMI), overweight and obese women had significantly increased risk of gaining gestational weight above IOM recommendations, compared to normal weight women. Higher GWG have previously been linked to adverse maternal and infant outcomes including higher rates of gestational diabetes mellitus (GDM) and primary caesarean delivery, large for age (LGA) infant, macrosomia and increased risk of childhood overweight/obesity. Given the impact of maternal GWG on pregnancy and infant outcomes, there is a need for a targeted behavioural intervention. As effective health behaviour change requires early initiation and maintenance of change, women before, during and after pregnancy should be targeted. Furthermore, high pre-pregnancy BMI have been shown to be linked with increased risk of GDM and type 2 diabetes post-delivery, and higher infant birthweight, child obesity and atypical child neurodevelopment. Accordingly, this highlights the need for early behavioural intervention beginning with women trying to get pregnant. Current studies have focused predominantly on individual factors contributing to maternal obesity in relation to infant outcomes, both immediately postpartum and prospectively into early childhood. Based on Bronfenbrenner's ecological model, key contextual factors involving the micro-, meso-, exo-, macro- and chronosystem are important factors contributing to the efficacy of digital means on health behavioural change among pregnant women. From this theoretical orientation, understanding individual factors involving motivation and contextual influences is central to facilitating health behaviour change. Specifically, elucidating the proximal (e.g. peers, family) and distal factors (e.g. community, health services) embedded within specific cultural contexts ensure sustainability of behaviour change among pregnant women.

As Singapore is a culturally diverse society, there is a need to understand the impact of cultural factors on maternal behaviours and decision making. Accordingly, the current study will consist of a qualitative assessment of 60 participants who will undergo semi-structured interviews with the aim to understand motivations and contextual influences that induce and sustain behaviour change, so as to inform future interventions for women before, during and after pregnancy. As digital health intervention in pregnant women has been shown to be cost-effective and scalable, the current study also aims to understand women's usage of technology throughout the process of trying to conceive, being pregnant and being a new mother within the local Singapore context.

研究类型

观察性的

注册 (预期的)

联系人和位置

本节提供了进行研究的人员的详细联系信息，以及有关进行该研究的地点的信息。

学习联系方式

姓名：Xavier Tadeo, PhD
电话号码：+65 66017766
邮箱：lsixtc@nus.edu.sg

研究联系人备份

姓名：Yoong Hun Ong, MSc
电话号码：+65 66017766
邮箱：yoong@nus.edu.sg

学习地点

新加坡
- - Singapore、新加坡、119074
    - 尚未招聘
    - National University Hospital
    - 接触：
      
      Delicia Shu Qin Ooi, PhD
      
      邮箱：paeosqd@nus.edu.sg
    - 接触：
      
      Maria Catherine Dado Celes
      
      邮箱：obgcmcd@nus.edu.sg
    - 首席研究员：
      
      Shiao-Yng Chan, PhD
    - 副研究员：
      
      Yung Seng Lee, PhD
    - 副研究员：
      
      Yijuan, Yvonne Lim, MMed
    - 副研究员：
      
      Anjian, Andrew Sng, MMed
    - 副研究员：
      
      Nicholas Beng Hui Ng, MMed
    - 副研究员：
      
      Lin Lin Su, MMed
    - 副研究员：
      
      Delicia Shu Qin Ooi, PhD
  - Singapore、新加坡、117456
    - 招聘中
    - The N.1 Institute for Health (N.1), NUS, Singapore
    - 接触：
      
      Xavier Tadeo, PhD
      
      邮箱：lsixtc@nus.edu.sg
    - 接触：
      
      Yoong Hun Ong, MSc
      
      邮箱：yoong@nus.edu.sg
    - 副研究员：
      
      V Vien Lee, PhD
    - 副研究员：
      
      Smrithi Vijayakumar, PhD
    - 副研究员：
      
      Qiao Ying Leong, BSc
    - 副研究员：
      
      Johan Eriksson, Prof
    - 副研究员：
      
      Yoann Sapanel, MBA
    - 副研究员：
      
      Ni Yin Lau, BSocSci (Hons)
    - 副研究员：
      
      Wei Ying Ng, BSocSci (Hons)

参与标准

研究人员寻找符合特定描述的人，称为资格标准。这些标准的一些例子是一个人的一般健康状况或先前的治疗。

资格标准

适合学习的年龄

21年至 45年 (成人)

接受健康志愿者

是的

有资格学习的性别

女性

取样方法

非概率样本

研究人群

Women who are actively trying to conceive (pre-pregnancy) or currently in first to third trimester of pregnancy (during pregnancy) or have a child aged 0-2 years (post-pregnancy).

描述

Inclusion Criteria:

English fluency;
Aged 21 years and above;
Actively trying to conceive (pre-pregnancy) or currently in first to third trimester of pregnancy (during pregnancy) or have a child aged 0-2 years (post-pregnancy).

Exclusion Criteria:

Evidence/diagnosis of cognitive impairment (e.g. history of dementia, intellectual disability, traumatic brain injury);
Current diagnosis of psychiatric disorder (e.g. severe anxiety, depression, schizophrenia);
Significant hearing impairment;
Inability to complete the study at the judgement of the clinician investigators;
Women requiring or who had any form of assisted conception.

学习计划

本节提供研究计划的详细信息，包括研究的设计方式和研究的衡量标准。

研究是如何设计的？

设计细节

团体/队列数

队列和干预

团体/队列
Pre-pregnancy
During pregnancy
Post-pregnancy

研究衡量的是什么？

主要结果指标

结果测量	措施说明	大体时间
Experiences and technology usage among women 大体时间：1 year	We will conduct semi-structured interviews with women who are either trying to conceive, pregnant or have a child aged 0 to 2 years. The interviews seek to find out about the participants' pregnancy/maternal-related experiences including the challenges faced, lifestyle changes made, support systems and experience with the health system. Participants will also be asked about their previous and current experiences with technology usage, such as the type of technology used and the purposes of technology usage. Additionally, there will also be two questionnaires, conducted pre- and post-interview, on the participants' demographics and their opinions on technical aspects of digital platforms.	1 year

合作者和调查者

在这里您可以找到参与这项研究的人员和组织。

赞助

National University of Singapore

调查人员

首席研究员：Dean Ho, Prof、National University of Singapore

出版物和有用的链接

负责输入研究信息的人员自愿提供这些出版物。这些可能与研究有关。

一般刊物

研究记录日期

这些日期跟踪向 ClinicalTrials.gov 提交研究记录和摘要结果的进度。研究记录和报告的结果由国家医学图书馆 (NLM) 审查，以确保它们在发布到公共网站之前符合特定的质量控制标准。

研究主要日期

学习开始 (实际的)

2021年11月8日

初级完成 (预期的)

2022年5月8日

研究完成 (预期的)

2022年11月8日

研究注册日期

首次提交

2021年9月15日

首先提交符合 QC 标准的

2021年10月28日

首次发布 (实际的)

2021年10月29日

研究记录更新

最后更新发布 (实际的)

2021年11月10日

上次提交的符合 QC 标准的更新