Dataset Information

Social support for postpartum women and associated factors including online support to reduce stress and depression amidst COVID-19: Results of an online survey in Thailand.

ABSTRACT:

Background

Social support for postpartum women helps mothers to recover from childbirth and fosters healthy infant development. However, the impacts of reduced interpersonal interactions inflicted by the COVID-19 outbreak on available social support for postpartum women have received little attention. Therefore, this study aimed to examine the levels of social support provided to postpartum women and associated factors in Thailand during the COVID-19 pandemic.

Methods

A cross-sectional study was conducted from July to October 2021 using an anonymous online questionnaire. The responses of 840 eligible women up to six months postpartum in Thailand were obtained. The maternity social support scale was used to measure social support. Multivariate logistic regression was used to analyse the factors associated with social support among postpartum women.

Results

About 57% of women reported to receive high support. Women in the high social support group were more likely to be married (aOR:2.70; 95% CI:1.57-4.66), have a university education or above (1.88; 1.35-2.64), have an intended pregnancy (2.06; 1.34-3.16), good health (2.01; 1.44-2.81), good sleep quality (1.62; 1.14-2.31), receive counsel from peers or family (1.56; 1.13-2.16), and use internet or social media to reduce stress and depression (1.51; 1.08-2.11). Meanwhile, women in the high social support group were significantly less likely to feed complementary foods to infants within 24 hours of completing the survey (0.28; 0.15-0.52).

Conclusions

The results of this study indicated that more than half of the women reported high support and illustrated the important role played by family, peers, and professionals as well as online and remote channels in providing postpartum informational and emotional support during the pandemic. Online platforms and remote support may be considered to provide social support to postpartum women during a pandemic such as COVID-19.

SUBMITTER: Kim SJ

PROVIDER: S-EPMC10374076 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Social support for postpartum women and associated factors including online support to reduce stress and depression amidst COVID-19: Results of an online survey in Thailand.

Kim Soo Jung SJ Aye Yin Min YM Panyarachun Danipa D Hong Seo Ah SA Chang Yan-Shing YS

PloS one 20230727 7

<h4>Background</h4>Social support for postpartum women helps mothers to recover from childbirth and fosters healthy infant development. However, the impacts of reduced interpersonal interactions inflicted by the COVID-19 outbreak on available social support for postpartum women have received little attention. Therefore, this study aimed to examine the levels of social support provided to postpartum women and associated factors in Thailand during the COVID-19 pandemic.<h4>Methods</h4>A cross-sect ...[more]

PMID: 37498895

Similar Datasets

Project description:BackgroundIn recent years, people with mental health problems are increasingly using online social networks to receive social support. For example, in online depression communities, patients can share their experiences, exchange valuable information, and receive emotional support to help them cope with their disease. Therefore, it is critical to understand how patients with depression develop online social support networks to exchange informational and emotional support.ObjectiveOur aim in this study was to investigate which user attributes have significant effects on the formation of informational and emotional support networks in online depression communities and to further examine whether there is an association between the two social networks.MethodsWe used social network theory and constructed exponential random graph models to help understand the informational and emotional support networks in online depression communities. A total of 74,986 original posts were retrieved from 1077 members in an online depression community in China from April 2003 to September 2017 and the available data were extracted. An informational support network of 1077 participant nodes and 6557 arcs and an emotional support network of 1077 participant nodes and 6430 arcs were constructed to examine the endogenous (purely structural) effects and exogenous (actor-relation) effects on each support network separately, as well as the cross-network effects between the two networks.ResultsWe found significant effects of two important structural features, reciprocity and transitivity, on the formation of both the informational support network (r=3.6247, P<.001, and r=1.6232, P<.001, respectively) and the emotional support network (r=4.4111, P<.001, and r=0.0177, P<.001, respectively). The results also showed significant effects of some individual factors on the formation of the two networks. No significant effects of homophily were found for gender (r=0.0783, P=.20, and r=0.1122, P=.25, respectively) in the informational or emotional support networks. There was no tendency for users who had great influence (r=0.3253, P=.05) or wrote more posts (r=0.3896, P=.07) or newcomers (r=-0.0452, P=.66) to form informational support ties more easily. However, users who spent more time online (r=0.6680, P<.001) or provided more replies to other posts (r=0.5026, P<.001) were more likely to form informational support ties. Users who had a big influence (r=0.8325, P<.001), spent more time online (r=0.5839, P<.001), wrote more posts (r=2.4025, P<.001), or provided more replies to other posts (r=0.2259, P<.001) were more likely to form emotional support ties, and newcomers (r=-0.4224, P<.001) were less likely than old-timers to receive emotional support. In addition, we found that there was a significant entrainment effect (r=0.7834, P<.001) and a nonsignificant exchange effect (r=-0.2757, P=.32) between the two networks.ConclusionsThis study makes several important theoretical contributions to the research on online depression communities and has important practical implications for the managers of online depression communities and the users involved in these communities.

Project description:BackgroundWhile online health social networks (OHSNs) serve as an effective platform for patients to fulfill their various social support needs, predicting the needs of users and providing tailored information remains a challenge.ObjectiveThe objective of this study was to discriminate important features for identifying users' social support needs based on knowledge gathered from survey data. This study also provides guidelines for a technical framework, which can be used to predict users' social support needs based on raw data collected from OHSNs.MethodsWe initially conducted a Web-based survey with 184 OHSN users. From this survey data, we extracted 34 features based on 5 categories: (1) demographics, (2) reading behavior, (3) posting behavior, (4) perceived roles in OHSNs, and (5) values sought in OHSNs. Features from the first 4 categories were used as variables for binary classification. For the prediction outcomes, we used features from the last category: the needs for emotional support, experience-based information, unconventional information, and medical facts. We compared 5 binary classifier algorithms: gradient boosting tree, random forest, decision tree, support vector machines, and logistic regression. We then calculated the scores of the area under the receiver operating characteristic (ROC) curve (AUC) to understand the comparative effectiveness of the used features.ResultsThe best performance was AUC scores of 0.89 for predicting users seeking emotional support, 0.86 for experience-based information, 0.80 for unconventional information, and 0.83 for medical facts. With the gradient boosting tree as our best performing model, we analyzed the strength of individual features in predicting one's social support need. Among other discoveries, we found that users seeking emotional support tend to post more in OHSNs compared with others.ConclusionsWe developed an initial framework for automatically predicting social support needs in OHSNs using survey data. Future work should involve nonsurvey data to evaluate the feasibility of the framework. Our study contributes to providing personalized social support in OHSNs.

Project description:BackgroundPeer support, also described as woman-to-woman support, has been well established as an effective intervention for overcoming barriers to breastfeeding duration. To access support and receive information, mothers are likely to access social media platforms, especially given the challenges to healthcare access presented by the COVID-19 pandemic. Previous research has established that virtual communities can promote peer-to-peer support similar to that seen in communities of practice.Research aimThe aims of this study were to describe levels of perceived informational social support among mothers in an online virtual community and to determine which features of the virtual community were perceived most favorably by breastfeeding mothers.MethodsThe study design was a cross-sectional survey of members of an existing social media community of breastfeeding mothers with use of the Online Social Support Scale-Informational subscale, Breastfeeding Self-Efficacy Short Form, and additional open-ended questions during the early phases of the COVID-19 pandemic. Participants were recruited within a single, lactation-focused virtual community that was moderated by lactation support professionals.ResultsIn regard to online social support specific to information seeking, the reported social support was moderate to high (M = 35.53, range = 17-48). Most items had a score average of approximately 3, indicating that participants perceived informational support "Pretty often" from their group interactions. Participants in this study had an average Breastfeeding Self-Efficacy-Short Form score of 57.91, indicating a moderately high level of breastfeeding self-efficacy. Content analysis of open-ended items regarding favorable characteristics of the virtual community indicated participants appreciated the immediacy of feedback and the presence of lactation support professionals within the community.ConclusionMothers in the lactation professional-led virtual community perceived moderately high support in health information seeking and experienced moderately high breastfeeding self-efficacy. Additional work is needed to determine the impact of participation in virtual communities on breastfeeding outcomes.

Project description:Many studies have discovered a number of factors that can contribute to the risk of developing postpartum depression (PPD), including, but not limited to, life stressors, lack of social support, low economic status, and quality of the marital relationship. However, these studies were conducted in various countries with participants from different cultural backgrounds.This study aimed to examine the impact of general help-seeking behavior (GHSB) and partner support (PS) on PPD among Saudi women in primary health care clinics in Riyadh city.Data were collected by using self-administered measures of the Edinburgh Postnatal Depression Scale (EPDS), General Help-Seeking Questionnaire (GHSQ), and Partner Support Scale (PSS). Frequency distribution was used to analyze the categorical data, and Student's t-test and one-way analysis of variance were employed to compare the numerical data. Linear regression analysis was used to control for all confounders.The findings showed that 9% and 28% of women had good and poor GHSB, respectively, 16% had poor PS, and 25.7% could be classified as probably depressed. Negative relationships between GHSB versus PPD and PS versus PPD were observed. Adjusting by mode of delivery and controlling for confounders in linear regression showed that women who underwent normal vaginal delivery, with higher para rates (β=0.250, t=2.063) and lower PS scores (β=-0.238, t=-2.038), were more likely to suffer higher depression scores (adj P=0.043 and adj P=0.045, respectively). Women who underwent cesarean-section, with postpartum duration ≥6 weeks (β=0.374, t=2.082), were more likely to suffer higher depression scores (adj P=0.045) compared to those with <6 weeks of postpartum duration.The prevalence of PPD among the study participants was high, especially among higher para women who underwent normal delivery and women ≥6 weeks post cesarean-section, in comparison with the results in other studies. PPD is reduced by enhancing women's GHSB and PS.

Dataset Information

Social support for postpartum women and associated factors including online support to reduce stress and depression amidst COVID-19: Results of an online survey in Thailand.

Background

Methods

Results

Conclusions

Publications

Social support for postpartum women and associated factors including online support to reduce stress and depression amidst COVID-19: Results of an online survey in Thailand.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets