Estimation of sleep problems among pregnant women during COVID-19 pandemic: a systematic review and meta-analysis

Safety and efficacy of sequential treatments for postmenopausal osteoporosis: a network meta-analysis of randomised controlled trials

Background

The sequential anti-osteoporotic treatment for women with postmenopausal osteoporosis (PMO) is important, but the order in which different types of drugs are used is confusing and controversial. Therefore, we performed a network meta-analysis to compare the efficacy and safety of available sequential treatments to explore the most efficacious strategy for long-term management of osteoporosis.

Methods

In this network meta-analysis, we searched the PubMed, EMBASE, Web of Science, the Cochrane Library, and ClinicalTrials.gov from inception to September 19, 2023 to identify randomised controlled trials comparing sequential treatments for women with PMO. The identified trials were screened by reading the title and abstract, and only randomised clinical trials involving sequential anti-osteoporotic treatments and reported relevant outcomes for PMO were included. The main outcomes included vertebral fracture risk, the percentage change in bone mineral density (BMD) in different body parts, and all safety indicators in the stage after switching treatment. A frequentist network meta-analysis was performed using the multivariate random effects method and evaluated using the surface under the cumulative ranking curve (SUCRA). Certainty of evidence was assessed using the Confidence in the Network Meta-Analysis (CINeMA) framework. This study is registered with PROSPERO: CRD42022360236.

Findings

A total of 19 trials comprising 18,416 participants were included in the study. Five different sequential treatments were investigated as the main interventions and compared to the corresponding control groups. The intervention groups in this study comprised the following treatment switch protocols: switching from an anabolic agent (AB) to an anti-resorptive agent (AR) (ABtAR), transitioning from one AR to another AR (ARtAAR), shifting from an AR to an AB (ARtAB), switching from an AB to a combined treatment of AB and AR (ABtC), and transitioning from an AR to a combined treatment (ARtC). A significant reduction in the incidence of vertebral fractures was observed in ARtC, ABtAR and ARtAB in the second stage, and ARtC had the lowest incidence with 81.5% SUCRA. ARtAAR and ABtAR were two effective strategies for preventing fractures and improving BMD in other body parts. Especially, ARtAAR could improve total hip BMD with the highest 96.1% SUCRA, and ABtAR could decrease the risk of total fractures with the highest 94.3% SUCRA. Almost no difference was observed in safety outcomes in other comparisons.

Interpretation

Our findings suggested that the ARtAAR and ABtAR strategy are the effective and safe sequential treatment for preventing fracture and improving BMD for PMO. ARtC is more effective in preventing vertebral fractures.

Funding

The National Natural Science Foundation of China (82170900, 81970762), the Hunan Administration of Traditional Chinese Medicine, and the Hunan Province High-level Health Talents "225" Project.

Association of social capital with mental health and quality of life among low- and high-risk pregnant women

INTRODUCTION

Social capital means having resources and support in relationships and social ties. It can affect the individual's quality of life and mental health. The present study investigated the association between social capital with psychological status and quality of life among low-risk and high-risk pregnant women.

METHODS

The present cross-sectional study was conducted with the participation of 394 pregnant women receiving prenatal care in urban comprehensive health centers in Qazvin, Iran. Two-stage sampling was used to select comprehensive health centers by random cluster sampling and then pregnant women randomly. Social capital, quality of life (QoL), psychological status, and demographic and obstetric characteristics were assessed. Uni-variable and multivariable linear regression models were used to analyze the data.

RESULTS

Among the participants, 267 had low-risk pregnancies (67.77%) and the remainder were high-risk. The mean age of participants was 27.94 years (SD=5.86), the mean gestational age was 23.63 weeks (SD=7.71). The mean overall quality of life score among low-risk pregnant women was 32.00 (SD=5.27) and among high-risk pregnant women was 29.70 (SD=3.65). High-risk pregnant women experienced significantly higher anxiety and depression and fear of COVID-19. Social capital had a significant and weak relationship with anxiety among low-risk pregnant women (r = 0.22, p < 0.001). Also, a weak and significant relationship between social capital and anxiety (r = 0.24, p = 0.007), depression (r = 0.24, p = 0.007) and fear of COVID-19 (r = 0.27, p = 0.002) was found among high-risk pregnant women.

CONCLUSION

Women with high-risk pregnancies experienced lower quality of life, higher anxiety and depression, and greater fear of COVID-19. There was also a weak relationship between social capital and the aforementioned variables among high-risk pregnant women. Designing and implementing interventions to increase quality of life and reduce anxiety and stress among high-risk pregnant women appears to be warranted.

COVID-19 and Sleep Disturbances: A Literature Review of Clinical Evidence

The need for adequate good quality sleep to optimally function is well known. Over years, various physical, psychological, biological, and social factors have been investigated to understand their impact on sleep. However, understanding the etiological processes that are involved in causing sleep disturbances (SD) as impacted by stressful phases such as pandemics has not been well studied. Many such etiological and management strategies have surfaced during the latest "coronavirus disease of 2019 (COVID-19) pandemic. The occurrence of these SD in the infected and uninfected individuals poses a need to investigate factors linked to such occurrence during this phase. Some of such factors include stressful practices such as social distancing, masking, vaccines, and medications availability, changes in routines, and lifestyles. As the status of infection improved, a collective term for all the prolonged effects of COVID-19 after the resolution of the primary infection called the post-COVID-19 syndrome (PCS) surfaced. Apart from impacting sleep during the infectious phase, the aftereffects of this virus left an even greater impact during the PCS. Various mechanisms have been hypothesized to be linked to such SD during the PCS, but the available data are inconclusive. Further, the varied patterns of incidence of these SDs differed by many factors, such as age, gender, and geographical location, making clinical management even more challenging. This review elucidates the impact of coronavirus 2 (SARS-CoV-2) (COVID) disease on sleep health during the various phases of the COVID-19 pandemic. We also investigate different causal relationships, management strategies, and knowledge gaps related to SD during the COVID-19 pandemic.

O sono nos trimestres gestacionais: um estudo longitudinal

RESUMO Objetivo: Identificar as características do sono e os fatores associados ao sono de má qualidade ao longo dos trimestres gestacionais. Método: Estudo longitudinal, quantitativo, com três períodos de acompanhamento, nos trimestres gestacionais (denominados T1, T2 e T3). Estudo longitudinal com 50 gestantes sem comorbidades. Utilizou-se os instrumentos: caracterização sociodemográfica e clínica, Índice de Qualidade do Sono de Pittsburgh e Diário de Sono. Os dados foram analisados por testes estatísticos (Qui-quadrado, testes não paramétricos e modelos de regressão). Resultados: Identificou-se que 55,3% das gestantes relataram sono de má qualidade em T1, 39,5% em T2 e 65,8% em T3 e que, em T3, houve 67% a mais de risco de relatos de sono de má qualidade do que em T2. Conclusão: Considerando-se a elevada prevalência de má qualidade do sono, principalmente no terceiro trimestre, compreende-se o pré-natal como um momento de aprendizado e oportunidade para os enfermeiros desenvolverem ações de educação, orientação e higiene do sono.

Sleep in pregnancy quarters: a longitudinal study

OBJECTIVE

To identify sleep characteristics and factors associated with sleep issues during pregnancy.

METHOD

This is a longitudinal, with three follow-up periods at each gestational trimester (called T1, T2 and T3). Fifty (50) pregnant women without comorbidities started the study. The following instruments were used: sociodemographic and clinical characterization, Pittsburgh Sleep Quality Index and Sleep Diary. Data were analyzed using statistical tests (Chi-square, non-parametric tests and regression models).

RESULTS

We identified that 55.3% of the pregnant women reported sleep disorders in T1, 39.5% in T2, and 65.8% in T3; in T3, the risk of reporting sleep problems increased by 67% in comparison with T2.

CONCLUSION

Considering the high prevalence of poor-quality sleep, especially in the third trimester, prenatal care is understood as a moment of intense learning and an opportunity for nurses to develop actions concerning education, guidance and sleep hygiene.

Estimation of Behavioral Addiction Prevalence During COVID-19 Pandemic: A Systematic Review and Meta-analysis

Purpose of Review

The COVID-19 pandemic changed people’s lifestyles and such changed lifestyles included the potential of increasing addictive behaviors. The present systematic review and meta-analysis aimed to estimate the prevalence of different behavioral addictions (i.e., internet addiction, smartphone addiction, gaming addiction, social media addiction, food addiction, exercise addiction, gambling addiction, and shopping addiction) both overall and separately.

Recent Findings

Four databases (PubMed, Scopus, ISI Web of Knowledge, and ProQuest) were searched. Peer-reviewed papers published in English between December 2019 and July 2022 were reviewed and analyzed. Search terms were selected using PECO-S criteria: population (no limitation in participants’ characteristics), exposure (COVID-19 pandemic), comparison (healthy populations), outcome (frequency or prevalence of behavioral addiction), and study design (observational study). A total of 94 studies with 237,657 participants from 40 different countries (mean age 25.02 years; 57.41% females). The overall prevalence of behavioral addiction irrespective of addiction type (after correcting for publication bias) was 11.1% (95% CI: 5.4 to 16.8%). The prevalence rates for each separate behavioral addiction (after correcting for publication bias) were 10.6% for internet addiction, 30.7% for smartphone addiction, 5.3% for gaming addiction, 15.1% for social media addiction, 21% for food addiction, 9.4% for sex addiction, 7% for exercise addiction, 7.2% for gambling addiction, and 7.2% for shopping addiction. In the lockdown periods, prevalence of food addiction, gaming addiction, and social media addiction was higher compared to non-lockdown periods. Smartphone and social media addiction was associated with methodological quality of studies (i.e., the higher the risk of boas, the higher the prevalence rate). Other associated factors of social media addiction were the percentage of female participants, mean age of participants, percentage of individuals using the internet in country, and developing status of country. The percentage of individuals in the population using the internet was associated with all the prevalence of behavioral addiction overall and the prevalence of sex addiction and gambling addiction. Gaming addiction prevalence was associated with data collection method (online vs. other methods) that is gaming addiction prevalence was much lower using online methods to collect the data.

Summary

Behavioral addictions appeared to be potential health issues during the COVID-19 pandemic. Healthcare providers and government authorities should foster some campaigns that assist people in coping with stress during COVID-19 pandemics to prevent them from developing behavioral addictions during COVID-19 and subsequent pandemics.

Supplementary Information

The online version contains supplementary material available at 10.1007/s40429-022-00435-6.