Effects of online support and social media communities on gestational diabetes: A systematic review

Cheng, Zilin; Hao, Haijing; Tsofliou, Fotini; Katz, Melissa D.; Zhang, Yiye

doi:10.1016/j.ijmedinf.2023.105263

Cited by 5 publications

(2 citation statements)

References 40 publications

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“…The development of information technologies such as social media may provide new avenues for this. A systematic review ( 49 ) also showed that online support interventions have the potential to improve outcomes in pregnant women with GDM.…”

Section: Discussionmentioning

confidence: 99%

The mediating effect of e-health literacy on social support and behavioral decision-making on glycemic management in pregnant women with gestational diabetes: a cross-sectional study

Yumei,

Huiying,

Liqin

et al. 2024

Front. Public Health

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BackgroundSocial support and e-health literacy are closely related to individual health behaviors, while behavior is premised on decision-making. Few studies have identified the relationships among social support, e-health literacy, and behavioral decision-making, and the nature of these relationships among pregnant women with gestational diabetes remains unclear. Therefore, this study aimed to investigate relationships among social support, e-health literacy, and glycemic management behavioral decisions in pregnant women with gestational diabetes.MethodsUsing continuous sampling, an online cross-sectional survey was conducted among pregnant women with gestational diabetes who met the inclusion and exclusion criteria at four Class 3 hospitals in Fujian Province from October to December 2023. A structured questionnaire was used to collect data on general characteristics, socioeconomic status, social support, e-health literacy, and behavioral decision-making regarding glycemic management. Descriptive statistical analyses, correlation analyses, and mediation effects were used to assess associations.ResultsA total of 219 pregnant women with gestational diabetes participated, and 217 valid results were obtained. The level of glycemic management behavior decision-making in women with gestational diabetes was positively correlated with e-health literacy (r = 0.741, p < 0.01) and with perceived social support (r = 0.755, p < 0.01). E-health literacy was positively correlated with perceived social support (r = 0.694, p < 0.01). The indirect effect of perceived social support on glycemic management behavior decisions through e-health literacy (a*b) was 0.153, accounting for 38% of the total effect.ConclusionSocial support and e-health literacy in pregnant women with gestational diabetes are related to behavioral decision-making in glycemic management. The results of this study provide a reference for developing targeted measures to improve glycemic management behaviors in pregnant women with gestational diabetes, which is crucial for achieving sustainable glycemic management.

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Section: Discussionmentioning

confidence: 99%

The mediating effect of e-health literacy on social support and behavioral decision-making on glycemic management in pregnant women with gestational diabetes: a cross-sectional study

Yumei,

Huiying,

Liqin

et al. 2024

Front. Public Health

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“…[8,19] For example, research showed that online support and interventions improved health outcomes of pregnant patients with gestational diabetes mellitus (GDM), and individualized health interventions resulted in lower odds of GDM. [20] Privacy and risk concerns are important to consider when using digital health technologies for pregnancy. [21,22] Research has shown that individuals often possess both risk and privacy concerns when turning to social media for health information.…”

Section: Introduction Backgroundmentioning

confidence: 99%

Privacy Concerns vs. Personalized Health Content: Two Sides of Social Media Use for Pregnant Individuals (Preprint)

Hao,

Lee,

Sharko

et al. 2024

Preprint

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BACKGROUND Frequently lacking immediate access to care providers, pregnant individuals often seek information online to address their evolving physical and mental health needs. OBJECTIVE Given social media’s increasing prominence as a source of news and information, this study investigated the extent to which patients may be willing to disclose personal health information to social media companies in order to obtain personalized health content. METHODS We designed and deployed a survey to pregnant patients worldwide electronically in 2023. We utilized the classical Internet Users' Information Privacy Concerns (IUIPC) model to examine how privacy concerns modulate pregnant individuals’ behaviors and beliefs about risk and trust while using social media for health purposes. RESULTS Among 317 respondents who initiated the survey, 265 respondents remained in the study providing complete responses. Among them, 55% indicated willingness to provide their personalized health information in exchange to receiving personalized health content via social media, while 26% were uncertain and 19% opposed. Parallel to pregnant individuals’ willingness to share, we find that they have more heightened privacy concerns and their use of social media for information seeking is largely impacted by their trust with the platforms. Our estimated IUIPC model results are statistically significant and qualitatively align with the classic IUIPC model for the general population previously found in an e-commerce context. CONCLUSIONS We find that more than half of the pregnant individuals are open to sharing their personal health information to receive personalized content about health via social media, although they have more privacy concerns than the general population. This study emphasizes a needed policy around protection of health data on social media for the pregnancy population and beyond.

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Women's views about online communities for gestational diabetes mellitus: a qualitative interview study

Pham,

Churruca,

Ellis

et al. 2024

Midwifery

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Effects of online support and social media communities on gestational diabetes: A systematic review

Cited by 5 publications

References 40 publications

The mediating effect of e-health literacy on social support and behavioral decision-making on glycemic management in pregnant women with gestational diabetes: a cross-sectional study

The mediating effect of e-health literacy on social support and behavioral decision-making on glycemic management in pregnant women with gestational diabetes: a cross-sectional study

Privacy Concerns vs. Personalized Health Content: Two Sides of Social Media Use for Pregnant Individuals (Preprint)

Women's views about online communities for gestational diabetes mellitus: a qualitative interview study

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