Current Usage and Discrepancies in the Adoption of IoT/Apps for Managing Working Women's Health: Findings from a Large-scale Internet Survey in Japan (Preprint) DOI
Kiriko Sasayama, Etsuko Nishimura, Noyuri Yamaji

et al.

Published: Aug. 2, 2023

BACKGROUND Demographic changes and a low birth rate have led to workforce shortage in Japan. To address this issue, the government has promoted engagement of female employment. However, increased employment can impact women's health. Using Internet Things (IoT) apps manage health gained attention, but few studies focused on working women. OBJECTIVE This study aimed clarify current situation women their use IoT or METHODS A large-scale, nationwide internet survey was conducted among 10,000 participants aged from 20 years 64 Participants were recruited marketing research company’s active panel 5.24 million members. The included questions about status, sociodemographic factors, psychological characteristics, for management. We compared perceived status reasons using t tests assessed participant characteristics that predicted C5.0 decision tree algorithm. Ethical approval granted by St. Luke's International University. RESULTS Among participants, 14.6% (1455/10,000) currently used apps, 7% (695/10,000) them previously, 78.5% (7850/10,000) had never them. Current users (42.7 old) older than past (39.7 old). Discrepancies observed between participants’ problems purpose with 21.3% (2130/10,000) all reporting they experienced menstrual symptoms disorders only 3.5% (347/10,000) same symptom. On other hand, more likely nutrition-related such as underweight obesity (405/1455, 27.8%). Device highest users, 87.3% (1270/1455) smartphones, 19.7% (287/1455) smartwatches, 13.3% (194/1455) PCs. Decision analysis identified 6 clusters, largest consisting 81.6% (5323/6523) non-IoT who did not exercise regularly, while pregnant apps. CONCLUSIONS Our findings highlight idea woman particular (ie, premenstrual syndrome) lower suggesting an unmet need specific areas.

Language: Английский

How Wearable Sensors Can Support the Research on Foetal and Pregnancy Outcomes: A Scoping Review DOI Open Access
Andrea Maugeri, Martina Barchitta, Antonella Agodi

et al.

Journal of Personalized Medicine, Journal Year: 2023, Volume and Issue: 13(2), P. 218 - 218

Published: Jan. 26, 2023

The application of innovative technologies, and in particular wearable devices, can potentially transform the field antenatal care with aim improving maternal new-born health through a personalized approach. present study undertakes scoping review to systematically map literature about use sensors research foetal pregnancy outcomes. Online databases were used identify papers published between 2000–2022, from which we selected 30 studies: 9 on outcomes 21 Included studies focused primarily devices for monitoring vital signs (e.g., heart rate movements) activity during sleep patterns physical levels). There many that development and/or validation even if often they included limited number pregnant women without complications. Although their findings support potential adoption both research, there is still insufficient evidence design effective interventions. Therefore, high quality needed determine how could care.

Language: Английский

Citations

16
The implementation of online and offline hybrid weight management approach for pregnant women based on the Fogg behavior model in Hainan, China: a pilot randomized controlled trial DOI Creative Commons

Linjie Wang,

Lanli Zou,

Huanying Yi

et al.

BMC Pregnancy and Childbirth, Journal Year: 2024, Volume and Issue: 24(1)

Published: July 30, 2024

This study aimed at evaluating the effects of online and offline hybrid weight management approach based on Fogg behavior model total gestational gain perinatal outcomes.

Language: Английский

Citations

4
Impacts of Lifestyle Intervention by a Nurse‐Led Smartphone Application on Blood Pressure, Weight, and Pregnancy Outcomes in Pregnant Women With Gestational Hypertension: A Randomized Controlled Trial DOI Open Access

Jingjing Guo,

Xiaoqin Lu, Yuheng Zhou

et al.

Research in Nursing & Health, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 13, 2025

ABSTRACT High blood pressure and excess weight during pregnancy can have adverse outcomes. This randomized controlled trial evaluated the effects of a nurse‐led smartphone application‐based lifestyle intervention on pressure, body weight, outcomes in pregnant women with gestational hypertension between August December 2023. Pregnant women, 20 28 weeks gestation, were allocated to or control group. Control group ( n = 99) received standard high‐risk management, while 96) also guidance via application. Intervention experienced longer gestations p 0.007), higher neonatal weights 0.028), lower incidences pre‐eclampsia < 0.001), small for age infants 0.003), preterm births 0.023) compared The mixed‐effect models repeated measures showed that application had no impact mass index, significantly reducing systolic diastolic measurements (β −1.666, 95% confidence interval, CI: −2.814 −0.519, 0.005 β −2.247, −3.349 −1.145, 0.001, respectively). Both pressures downward trend from 0.05). reduced positively influenced management hypertension.

Language: Английский

Citations

0
Association of Digital Health Interventions With Maternal and Neonatal Outcomes: Systematic Review and Meta-Analysis DOI Creative Commons

Jianing Wang,

Nu Tang,

Congcong Jin

et al.

Journal of Medical Internet Research, Journal Year: 2025, Volume and Issue: 27, P. e66580 - e66580

Published: March 14, 2025

Background Gestational weight gain (GWG) is crucial to maternal and neonatal health, yet many women fail meet recommended guidelines, increasing the risk of complications. Digital health interventions offer promising solutions, but their effectiveness remains uncertain. This study evaluates impact such on GWG other outcomes. Objective aimed investigate effect digital among pregnant newborns. Methods A total 2 independent researchers performed electronic literature searches in PubMed, Embase, Web Science, Cochrane Library databases identify eligible studies published from inception until February 2024; an updated search was conducted August 2024. The included randomized controlled trials (RCTs) related clinical Revised risk-of-bias tool for used examine publication bias. Stata (version 15.1; StataCorp) analyze data. Results We incorporated 42 pertinent RCTs involving 148,866 participants. In comparison routine care group, markedly reduced intervention group (standardized mean difference–0.19, 95% CI –0.25 –0.13; P<.001). significant reduction observed proportion with excessive (odds ratio [OR] 0.79, 0.69-0.91; P=.001), along increase adequate (OR 1.33, 1.10-1.64; P=.003). Although no difference reported individuals below standardized gain, there a miscarriage 0.66, 0.46-0.95; P=.03), preterm birth 0.8, 0.75-0.86; P<.001), as well complex outcomes 0.93, 0.87-0.99; P=.02). Other fetal were not significantly different between groups (all P>.05). Conclusions findings corroborate our hypothesis that digitally facilitated can enhance certain facets outcomes, particularly by mitigating maintaining within reasonable range. Therefore, encouraging join team sounds feasible helpful. Trial Registration PROSPERO CRD42024564331; https://tinyurl.com/5n6bshjt

Language: Английский

Citations

0
Challenges and Considerations in Naming True and Quasi-Experimental Research Designs: A Methodological Discussion DOI Creative Commons
Abubaker M. Hamed, Donna Moralejo, Ángela Durante

et al.

Creative Nursing, Journal Year: 2025, Volume and Issue: unknown

Published: March 17, 2025

Language: Английский

Citations

0
Effect of Prenatal Exercise on the Rate of Cesarean Section: A Systematic Review and Meta-Analysis DOI Creative Commons

Qinhan Xie,

Q. Li,

Jiatai Li

et al.

Clinical and Experimental Obstetrics & Gynecology, Journal Year: 2025, Volume and Issue: 52(3)

Published: March 21, 2025

Background: According to the World Health Organization, cesarean section (CS) rate is alarmingly high. As such, it urgent reduce of CS. In this meta-analysis, we aimed examine effects prenatal exercise on delivery outcomes. Methods: A search was carried out in databases including PubMed, ProQuest, Scopus, China National Knowledge Infrastructure (CNKI), Wanfang, and Weipu, from January 1, 2020 August 27, 2024. Two reviewers independently assessed articles for quality risk bias using Cochrane handbook. The statistical heterogeneity determined Cochran’s Q test Higgins’ I2 coefficient. Results: Of 243 reviewed articles, 11 were included review, which contained 2553 pregnant women. results meta-analysis showed that there a difference CS between group non-prenatal (p < 0.05). There also differences experimental control group, with aerobic combined childbirth training Conclusions: Prenatal during pregnancy related effective reducing CS, reduced increased natural delivery.

Language: Английский

Citations

0
The Impact of M-Health Interventions on Gestational Weight Gain and Physical Activity among Pregnant Women with Overweight and Obesity: A Meta-analysis of Randomized Controlled Trial DOI
Yanti Puspita Sari,

Hermalinda Herman,

Lili Fajria

et al.

Midwifery, Journal Year: 2025, Volume and Issue: unknown, P. 104399 - 104399

Published: March 1, 2025

Language: Английский

Citations

0
Exploring the factors influencing the intention to use mHealth applications in resource scare settings; A SEM Analysis among future nurses DOI Creative Commons
Ramya Kundayi Ravi, Atul Shiva, Jaison Jacob

et al.

Global Transitions, Journal Year: 2025, Volume and Issue: unknown

Published: April 1, 2025

Language: Английский

Citations

0
Investigating discrepancies in findings between rigorous randomized trials and meta‐analyses evaluating pregnancy interventions to limit gestational weight gain DOI Creative Commons
Jodie M Dodd, Andrea R. Deussen, Amanda J. Poprzeczny

et al.

Obesity Reviews, Journal Year: 2024, Volume and Issue: unknown

Published: Oct. 3, 2024

Summary Introduction Robust randomized trials consistently demonstrate little impact from diet and physical activity interventions on gestational weight gain (GWG) clinical outcomes, although meta‐analyses report some benefit. Our aim was to evaluate the effect of trial quality treatment estimates review conclusions. Methods We conducted a systematic dietary and/or for pregnant women with body mass index ≥18.5 kg/m 2 . assessed studies risk bias methodological features impacting reliability. Outcomes included GWG; diabetes mellitus (GDM); pre‐eclampsia; caesarean birth; birth measures. For each outcome, sequence performed based intervention group level potential in estimate. Results identified 128 eligible studies. The most robust estimate combined behavioral intervention, only at negligible bias, difference GWG 1.10 kg (95% CI −1.62 −0.58; 17,755 women). There no evidence an any outcomes. Conclusions findings highlight discrepancies produced by indiscriminate inclusion flaws previous reviews. Regular weighing is futile absence

Language: Английский

Citations

3
The Effect of Maternal Dietary Patterns on Birth Weight for Gestational Age: Findings from the MAMI-MED Cohort DOI Open Access
Martina Barchitta, Roberta Magnano San Lio,

Maria Clara La Rosa

et al.

Nutrients, Journal Year: 2023, Volume and Issue: 15(8), P. 1922 - 1922

Published: April 16, 2023

Limited evidence exists on the effects of maternal dietary patterns birth weight, and most studies conducted so far did not adjust their findings for gestational age sex, leading to potentially biased conclusions. In present study, we applied a novel method, namely clustering principal components, derive among 667 pregnant women from Catania (Italy) evaluate associations with weight age. We identified two clusters reflecting distinct patterns: first one was mainly characterized by plant-based foods (e.g., potatoes, cooked raw vegetables, legumes, soup, fruits, nuts, rice, wholemeal bread), fish white meat, eggs, butter margarine, coffee tea; second consisted junk (sweets, dips, salty snacks, fries), pasta, bread, milk, vegetable olive oils. Regarding small births, main predictors were employment status primiparity, but adherence patterns. By contrast, belonging cluster 2 had higher odds large (LGA) births than those 1 (OR = 2.213; 95%CI 1.047–4.679; p 0.038). Moreover, LGA increased nearly 11% each one-unit increase in pregestational BMI 1.107; 1.053–1.163; < 0.001). To our knowledge, study is highlight relationship between an unhealthy pattern likelihood giving newborn. This adds current knowledge about diet which, however, remains limited controversial.

Language: Английский

Citations

9