Pregnancy Activity Levels and Impediments in the Era of COVID-19 Based on the Health Belief Model: A Cross-Sectional Study

Yu, Hongli; He, Juan; Szumilewicz, Anna

doi:10.3390/ijerph19063283

Cited by 13 publications

(12 citation statements)

References 39 publications

(46 reference statements)

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“…In our study, women with higher incomes were less likely to have a low PA level during pregnancy, which is in line with the reports by Galliano et al and Yu et al [13,17]. The study in Serbian women found that inadequate PA during pregnancy was more marked in low-income families, which could re ect a lack of leisure time for exercise [10].…”

Section: Discussionsupporting

confidence: 92%

“…Factors that affect PA in pregnant women are complex and include individual demographic, physiologic, psychologic, and lifestyle factors, as well as social support and environmental factors. Researchers have showed that pregnant women who are younger, less well educated, and unemployed and those with multiple children and a lower income are less likely to engage in an adequate amount of PA [11,12,17,18]. Obstetric variables associated with PA in pregnancy include history of miscarriage, parity, and exercise and smoking status before pregnancy [19][20][21].…”

Section: Introductionmentioning

confidence: 99%

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Factors influencing physical inactivity status among Chinese pregnant women: a cross-sectional study

Zhou

Lin

et al. 2022

Preprint

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Background: Regular prenatal physical activity can bring about health benefits to both mother and fetus and can reduce the risk of various complications of pregnancy. However, little is known about whether pregnant women in China are meeting the current guidelines for prenatal physical activity. The aims of the study were to assess physical inactivity status and associated factors among pregnant women in Shanghai, China.Methods: A cross-sectional study of 1636 pregnant women were registered and received routine prenatal care at a tertiary obstetrics and gynecology hospital in Shanghai, China between May 2021 and March 2022. Maternal sociodemographic characteristics and health information were obtained using structured questionnaires or from the medical records. Maternal physical inactivity status was assessed using the International Physical Activity Questionnaire-Short Form and subjected to descriptive analysis. Factors pertinent to physical inactivity were identified by binary logistic regression and are reported with adjusted odds ratios (ORs) and 95% confidence intervals (CIs). Physical inactivity was defined as a total energy expenditure of <600 metabolic equivalent (MET) min/week.Results: In total, the prevalence of physical inactivity was 47.5%. Multivariate logistic regression identified a significant negative association of physical inactivity with personal monthly income (adjusted OR 0.648, 95% CI 0.505–0.831), engagement in regular exercise before pregnancy (adjusted OR 0.575, 95% CI 0.464–0.711) and in the second (adjusted OR 0.534, 95% CI 0.411–0.693) and third (adjusted OR 0.615, 95% CI 0.470–0.806) trimester of pregnancy. Women with nausea or vomiting during pregnancy were more likely to be physically inactive during pregnancy (adjusted OR 1.307, 95% CI 1.002–1.705). Conclusion: Physical inactivity is highly prevalent among pregnant women in China, particularly those with a low income, those who do not engage in regular exercise before pregnancy, those in the first trimester, and those with nausea or vomiting during pregnancy. These women require help to overcome barriers to physical activity and to promote health.

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Section: Discussionsupporting

confidence: 92%

Section: Introductionmentioning

confidence: 99%

Factors influencing physical inactivity status among Chinese pregnant women: a cross-sectional study

Zhou

Lin

et al. 2022

Preprint

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“…The HBM has been used to assess many differing health outcomes among pregnant women. Among pregnant women, HBM has been shown to be an effective framework regarding factors for improving nutrition and weight control and behaviors [12,13], promoting physical activity [14,15], preventing self-medication during pregnancy [16], and promoting self-care during pregnancy [17]. These decisions a woman makes during her pregnancy, including assessing the perceived benefits and barriers to adopting new health behaviors, can have an impact on her overall pregnancy health and outcomes.…”

Section: Health Belief Modelmentioning

confidence: 99%

Using the Health Belief Model to Identify Predictors of COVID-19 Vaccine Acceptance among a Sample of Pregnant Women in the U.S.: A Cross-Sectional Survey

Jones

Wallis

2022

Vaccines

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The aim of the study was to identify factors that predict acceptance of the COVID-19 vaccine among pregnant women. Using the Health Belief Model, the authors administered a cross-sectional survey of pregnant and postpartum women in the United States during the COVID-19 pandemic. Overall, 227 women agreed to participate and completed the entire survey. Over half (59%) the participants had received the COVID-19 vaccine at the time of the study. Perceived barriers to vaccination (p < 0.001) and perceived benefits (p < 0.001) to vaccination were statistically significant predictors of vaccination. Trust in healthcare providers was also statistically predictive of vaccination (p = 0.001). Binary regression results were statistically significant (χ2(9) = 79.90, p < 0.001), suggesting that perceived benefits, barriers, severity, and susceptibility scores had a statistically significant effect on the odds of a participant being vaccinated. Results indicate a need for increased patient education regarding COVID-19 vaccination during pregnancy, including the benefits of vaccination for mother and fetus.

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“…However, recent researches in Canada and Australia suggested that fewer than 50% of women receive suitable guidance from professionals about healthy N&PA during the PtP period ( 13 , 14 ). This might be due to healthcare being too expensive or inaccessible in low-income regions ( 15 ) or to the coronavirus pandemic (COVID-19) and associated isolation periods ( 16 , 17 ).…”

Section: Introductionmentioning

confidence: 99%

“…Nevertheless, the apps quality (esthetics, functionality, information, and engagement) varies significantly. Many lack supporting RCTs, rigorous evaluation procedures, or published protocols and generally show an absence of quality assessment ( 17 , 28 ). However, new users still choose to download such apps, and research has shown that user feedback (subjective quality) is more influential in convincing new users to download an app than RCTs and scientific evidence ( 29 ).…”

Section: Introductionmentioning

confidence: 99%

Quality assessment of pre- and postnatal nutrition and exercise mobile applications in the United States and China

He²,

Li³

et al. 2023

Front. Nutr.

Self Cite

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BackgroundMobile applications (apps) are becoming increasingly prevalent as tools for improving maternal health behaviors. However, the recently updated content and quality of these apps remain unknown. This research investigated the fundamental characteristics, functional modules, and overall quality of maternal apps available in the United States and China to reveal critical nutrition and physical activity gaps.MethodsA systematic search was performed in Android and iOS app stores (China and the United States). Apps were eligible if they targeted pregnant or postpartum women, focused on nutrition or physical activity, and had interfaces in English or Chinese. The basic characteristics, functional modules, and overall quality of the apps were evaluated, and differences between apps available in China or the United States were determined using analysis of variance and chi-square tests. Pearson correlations were utilized to investigate links between objective quality and user rating.ResultsA total of 65 maternity-related nutrition and physical activity apps (34 from China and 31 from the United States) were eligible. Among them, 68% (21/31) of US apps and 56% (19/34) of Chinese apps did not provide supporting evidence for their content. A greater number of Chinese apps provided app-based general education modules, namely food nutrition knowledge (n = 0, 0% in the United States vs. n = 30, 88.2% in China). Meanwhile, a greater number of US apps provided exercise modules, namely pregnancy yoga (n = 21, 67.7% in the United States vs. n = 2, 5.9% in China). The overall app quality rating in the United States was lower than it was in China (mean: 3.5, SD: 0.6 in China vs. mean: 3.4, SD: 0.7 in the United States). There was no relationship between the overall app quality rating and the user rating in either country (rho = 0.11 in China and rho = –0.13 in the United States).ConclusionThe characteristics and functional modules of in-store apps for maternal nutrition and physical activity differed between the United States and China. Both countries’ apps, especially Chinese apps, lacked evidence-based information, and there was no correlation between app quality and user rating. The results therefore suggest that user ratings cannot be used as an objective indicator of app quality and that it is necessary to improve the empirical basis and credibility of apps in both countries.

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Pregnancy Activity Levels and Impediments in the Era of COVID-19 Based on the Health Belief Model: A Cross-Sectional Study

Cited by 13 publications

References 39 publications

Factors influencing physical inactivity status among Chinese pregnant women: a cross-sectional study

Factors influencing physical inactivity status among Chinese pregnant women: a cross-sectional study

Using the Health Belief Model to Identify Predictors of COVID-19 Vaccine Acceptance among a Sample of Pregnant Women in the U.S.: A Cross-Sectional Survey

Quality assessment of pre- and postnatal nutrition and exercise mobile applications in the United States and China

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