Cubbin Catherine
School of Social Work, The University of Texas at Austin, 1925 San Jacinto Boulevard, Mail Code D3500, Austin, TX, 78712, USA.
BMC Res Notes. 2015 Sep 2;8:402. doi: 10.1186/s13104-015-1379-2.
Causal inferences from survey research on health would benefit from population-based prospective survey designs. Because of decreasing survey response rates and residential mobility, however, loss to follow-up is of concern. The purpose of this paper is to describe the methodology of the geographic research on wellbeing (GROW) study and the resulting sample of women, their children, and their neighborhoods.
GROW (2012-2013) was designed as a follow-up mail/telephone survey of postpartum women who completed the statewide-representative Maternal and Infant Health Assessment (MIHA) baseline survey (2003-2007) in California. GROW was completed in English or Spanish by mothers whose index child from MIHA were aged 4-10 years. Its research focus is on the role of neighborhood environments on behavioral risk factors for cancer. The survey was developed based on expert guidance and extensive pilot testing and includes in-depth information on women's and children's health and behaviors, socioeconomic and demographic factors, psychosocial characteristics, and neighborhood perceptions, linked to objective neighborhood characteristics. The sample size for GROW is 3016 women. Response rates were 33% of the eligible sample and 75% of the active sample (those able to be located). GROW appears to be highly representative of its target population and its respondents lived in similar types of neighborhoods compared with all California neighborhoods.
Surveyed 5-10 years after baseline, the GROW mixed-mode methodology produced a prospective, representative sample of women with young children in California, comparing both individual and residential characteristics. The methods have implications for the 40 states and New York City that participate in CDC's Pregnancy Risk Assessment Monitoring System, as well as other cross-sectional studies with participants' contact information. Several recommendations for conducting similar follow-up studies with minimal loss to follow-up are provided.
基于人群的前瞻性调查设计将有助于从健康调查研究中得出因果推断。然而,由于调查回复率的下降和居民流动性的增加,失访问题令人担忧。本文旨在描述幸福感地理研究(GROW)的方法以及由此产生的女性、其子女及其社区的样本。
GROW(2012 - 2013年)被设计为对在加利福尼亚州完成全州代表性母婴健康评估(MIHA)基线调查(2003 - 2007年)的产后妇女进行的后续邮件/电话调查。GROW由来自MIHA的索引儿童年龄在4 - 10岁的母亲以英语或西班牙语完成。其研究重点是邻里环境对癌症行为危险因素的作用。该调查是在专家指导和广泛的预试验基础上制定的,包括与客观邻里特征相关的关于妇女和儿童健康与行为、社会经济和人口因素、心理社会特征以及邻里认知的深入信息。GROW的样本量为3016名女性。回复率为符合条件样本的33%,活跃样本(能够找到的样本)的75%。与所有加利福尼亚社区相比,GROW似乎高度代表其目标人群,其受访者居住在类似类型的社区。
在基线调查5 - 10年后进行调查,GROW混合模式方法产生了一个加利福尼亚州有幼儿的女性的前瞻性、代表性样本,同时比较了个人和居住特征。这些方法对参与疾病控制与预防中心(CDC)妊娠风险评估监测系统的40个州和纽约市以及其他拥有参与者联系信息的横断面研究具有启示意义。本文还提供了一些关于进行类似后续研究并尽量减少失访的建议。