Can the Healthy Start Risk Screen Predict Perinatal Depressive Symptoms among High-Risk Women?
Can the Healthy Start Risk Screen Predict Perinatal Depressive Symptoms among High-Risk Women?
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健康的开始风险筛查可以预测高危女性的围产期抑郁症状吗？
DOI：
10.3390/children9020180
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发表时间：
2022-02-01
期刊：
影响因子：
--
通讯作者：
Louis-Jacques A
中科院分区：
文献类型：
--
作者：
Wilson R;Campos A;Sandhu M;Sniffen S;Jones R;Tackett H;Berry E;Louis-Jacques A
目的：在高危人群中早期发现抑郁症对于确保更好的母婴健康结果至关重要。本研究评估了健康开始产前风险筛查（HSPRS）是否可以预测希尔斯伯勒县资源不足，高风险社区参加健康开始（HS）计划的妇女的抑郁症状。方法：从HS参与者的数据包括那些谁使用HSPRS和爱丁堡产后抑郁量表（EPDS）进行评估。相关性分析确定HSPRS评分是否与阳性EPDS筛查相关，并单独评估与参与者心理社会环境相关的HSPRS问题，以确定其预测潜力。计算每个感兴趣问题的粗比值比（OR）和调整后的OR（控制社会人口统计学协变量）。结果：共纳入736名女性，其中122名（16.5%）在EPDS上得分为14或更高，表明可能存在抑郁风险。有抑郁症风险的妇女与那些没有风险的妇女在母亲年龄（p值= 0.03）和婚姻状况（p值= 0.01）方面存在显着差异。在教育、种族或人种方面没有显著差异。总HSPRS评分与EPDS评分有微弱但显著的相关性（r = 0.14，p值= 0.0001），7个单独的HSPRS问题与围产期抑郁症的风险显著相关。实践结论：通过关注对关键HSPRS问题的回答，而不是总分，妇女可以更快地获得急需的服务，从而降低孕产妇和发育结果较差的风险。意义：年轻的母亲年龄和单身的婚姻状况已被确定为围产期抑郁症的危险因素。此外，来自种族/少数民族群体或低收入人群的女性更容易患抑郁症。因此，在妇女表现出许多预先确定的围产期抑郁症风险因素的社区，迅速确定那些风险最高的人的能力是必要的。这项工作表明，在医疗和社会高风险的母亲参加了HS计划，整体HSPRS评分是不是围产期抑郁症的预测作为个人的关键问题的反应。对这些反应的关注可以使妇女更快地获得急需的服务。
Objectives: Early detection of depression in at-risk populations is critical for ensuring better maternal and child health outcomes. This study assessed whether Healthy Start Prenatal Risk Screening (HSPRS) could predict depressive symptoms in women enrolled in a Healthy Start (HS) program in under-resourced, high-risk communities of Hillsborough County. Methods: Data from HS participants were included for those who were evaluated using the HSPRS and the Edinburgh Postnatal Depression Scale (EPDS). A correlation analysis determined if the HSPRS score was associated with a positive EPDS screen, and HSPRS questions related to the participants psychosocial environment were assessed individually to determine their predictive potential. The crude odds ratio (OR) and adjusted OR (controlling for sociodemographic covariates) were calculated for each question of interest. Results: A total of 736 women were included, with 122 (16.5%) scoring 14 or greater on the EPDS, indicating probable depression risk. There were significant differences between women at risk for depression compared to those not at risk regarding maternal age (p-value = 0.03) and marital status (p-value = 0.01). There were no significant differences in education, ethnicity, or race. The total HSPRS score had a weak yet significant correlation with the EPDS score (r = 0.14, p-value = 0.0001), and seven individual HSPRS questions were significantly associated with risk for perinatal depression. Conclusions for Practice: By focusing on responses to key HSPRS questions rather than the overall score, women may receive access to much needed services more quickly, thereby reducing the risk for poorer maternal and developmental outcomes. Significance: A young maternal age and single marital status have been identified as risk factors for perinatal depression. Additionally, women from racial/ethnic minority groups or low-income populations are more likely to experience depression. Thus, in communities where women exhibit many pre-identified risk factors for perinatal depression, the ability to quickly identify those at the highest risk is imperative. This work indicates that among medically and socially high-risk mothers enrolled in a HS program, the overall HSPRS score was not as predictive of perinatal depression as individual responses to key questions. Attention to these responses could result in women receiving much needed services quicker.
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影响因子：
6.6
作者：
Mori, Tsuruko;Tsuchiya, Kenji J.;Takei, Nori
通讯作者：
Takei, Nori
影响因子：
2.3
作者：
Smith MV;Shao L;Howell H;Lin H;Yonkers KA
通讯作者：
Yonkers KA
影响因子：
2.4
作者：
Padilla, Mikela M.;Roussos-Ross, Dikea;Goodin, Amie J.
通讯作者：
Goodin, Amie J.
DOI：
10.1136/bmj.m4022
发表时间：
2020-11-11
期刊：
BMJ (Clinical research ed.)
影响因子：
--
作者：
Levis B;Negeri Z;Sun Y;Benedetti A;Thombs BD;DEPRESsion Screening Data (DEPRESSD) EPDS Group
通讯作者：
DEPRESsion Screening Data (DEPRESSD) EPDS Group
影响因子：
1.8
作者：
Rubertsson, Christine;Borjesson, Karin;Sydsjo, Gunilla
通讯作者：
Sydsjo, Gunilla