The impact of COVID-19 on sexual behaviors of young women and men

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Abstract

Background:

The worldwide impact of COVID-19 has reached all spheres of human health. Individuals may also experience unique changes in their sexual behaviors during the COVID-19 self-isolation/social distancing period. Studies in many countries have assess the effects of the pandemic on sexual behavior, or quality of sexual life. However, no systematic review has comprehensively explored the association between COVID-19 and the sexual behaviors of young women and men to date. This systematic review and meta-analysis protocol aims to ascertain the association between COVID-19 and sexual behaviors of young women and men that may get targeted interventions to improve health and well-being of young people's sexual health.

Methods:

This systematic review and meta-analysis will be reported following the PRISMA guidelines. Observational designs (including cross-sectional, case-control, and cohort) will be eligible. Studies eligible for inclusion must contain participants aged 15 to 45 in any country affected by the pandemic of COVID-19. The search will be conducted in the following databases, including PubMed, Cochrane Library, EMBASE, EBSCO, Ovid, WHO COVID-19 database, China National Knowledge Internet (CNKI), WanFang Data, Chinese Scientific and Technological Journal Database (VIP), and Chinese Biomedical Databases (CBM). A pre-designed search strategy of medical subject heading (MeSH) terms and free words for the concepts “COVID-19” and “sexual behaviors” will be used. Two authors will independently complete literature screening, data extraction, and risk of bias assessment. Disagreements will be resolved by consensus with a third reviewer. The reviewer will follow the PECOS steps (population, exposure, comparator, outcomes, and study design) to obtain eligible extraction items. The risk of bias and quality of included studies will be assessed using RevMan 5.3. We will assess heterogeneity according to the I ² statistics. If there is substantial heterogeneity in the included trials, subgroup analysis will be carried out to seek the potential causes.

Ethics and dissemination:

It is not necessary to obtain ethical approval as we will use data from published articles. The findings of this systematic review will be published in a peer- reviewed journal.

PROSPERO registration number:

PROSPERO 2020: CRD42020190867.

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Most cited references 29

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Clinical features of patients infected with 2019 novel coronavirus in Wuhan, China

Chaolin Huang, Yeming Wang, Xingwang Li … (2020)

Summary Background A recent cluster of pneumonia cases in Wuhan, China, was caused by a novel betacoronavirus, the 2019 novel coronavirus (2019-nCoV). We report the epidemiological, clinical, laboratory, and radiological characteristics and treatment and clinical outcomes of these patients. Methods All patients with suspected 2019-nCoV were admitted to a designated hospital in Wuhan. We prospectively collected and analysed data on patients with laboratory-confirmed 2019-nCoV infection by real-time RT-PCR and next-generation sequencing. Data were obtained with standardised data collection forms shared by WHO and the International Severe Acute Respiratory and Emerging Infection Consortium from electronic medical records. Researchers also directly communicated with patients or their families to ascertain epidemiological and symptom data. Outcomes were also compared between patients who had been admitted to the intensive care unit (ICU) and those who had not. Findings By Jan 2, 2020, 41 admitted hospital patients had been identified as having laboratory-confirmed 2019-nCoV infection. Most of the infected patients were men (30 [73%] of 41); less than half had underlying diseases (13 [32%]), including diabetes (eight [20%]), hypertension (six [15%]), and cardiovascular disease (six [15%]). Median age was 49·0 years (IQR 41·0–58·0). 27 (66%) of 41 patients had been exposed to Huanan seafood market. One family cluster was found. Common symptoms at onset of illness were fever (40 [98%] of 41 patients), cough (31 [76%]), and myalgia or fatigue (18 [44%]); less common symptoms were sputum production (11 [28%] of 39), headache (three [8%] of 38), haemoptysis (two [5%] of 39), and diarrhoea (one [3%] of 38). Dyspnoea developed in 22 (55%) of 40 patients (median time from illness onset to dyspnoea 8·0 days [IQR 5·0–13·0]). 26 (63%) of 41 patients had lymphopenia. All 41 patients had pneumonia with abnormal findings on chest CT. Complications included acute respiratory distress syndrome (12 [29%]), RNAaemia (six [15%]), acute cardiac injury (five [12%]) and secondary infection (four [10%]). 13 (32%) patients were admitted to an ICU and six (15%) died. Compared with non-ICU patients, ICU patients had higher plasma levels of IL2, IL7, IL10, GSCF, IP10, MCP1, MIP1A, and TNFα. Interpretation The 2019-nCoV infection caused clusters of severe respiratory illness similar to severe acute respiratory syndrome coronavirus and was associated with ICU admission and high mortality. Major gaps in our knowledge of the origin, epidemiology, duration of human transmission, and clinical spectrum of disease need fulfilment by future studies. Funding Ministry of Science and Technology, Chinese Academy of Medical Sciences, National Natural Science Foundation of China, and Beijing Municipal Science and Technology Commission.

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Critical evaluation of the Newcastle-Ottawa scale for the assessment of the quality of nonrandomized studies in meta-analyses.

Andreas Stang (2010)

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Meta-analysis of observational studies in epidemiology: a proposal for reporting. Meta-analysis Of Observational Studies in Epidemiology (MOOSE) group.

D F Stroup, J A Berlin, S C Morton … (2000)

Because of the pressure for timely, informed decisions in public health and clinical practice and the explosion of information in the scientific literature, research results must be synthesized. Meta-analyses are increasingly used to address this problem, and they often evaluate observational studies. A workshop was held in Atlanta, Ga, in April 1997, to examine the reporting of meta-analyses of observational studies and to make recommendations to aid authors, reviewers, editors, and readers. Twenty-seven participants were selected by a steering committee, based on expertise in clinical practice, trials, statistics, epidemiology, social sciences, and biomedical editing. Deliberations of the workshop were open to other interested scientists. Funding for this activity was provided by the Centers for Disease Control and Prevention. We conducted a systematic review of the published literature on the conduct and reporting of meta-analyses in observational studies using MEDLINE, Educational Research Information Center (ERIC), PsycLIT, and the Current Index to Statistics. We also examined reference lists of the 32 studies retrieved and contacted experts in the field. Participants were assigned to small-group discussions on the subjects of bias, searching and abstracting, heterogeneity, study categorization, and statistical methods. From the material presented at the workshop, the authors developed a checklist summarizing recommendations for reporting meta-analyses of observational studies. The checklist and supporting evidence were circulated to all conference attendees and additional experts. All suggestions for revisions were addressed. The proposed checklist contains specifications for reporting of meta-analyses of observational studies in epidemiology, including background, search strategy, methods, results, discussion, and conclusion. Use of the checklist should improve the usefulness of meta-analyses for authors, reviewers, editors, readers, and decision makers. An evaluation plan is suggested and research areas are explored.

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Author and article information

Journal

Journal ID (nlm-ta): Medicine (Baltimore)

Journal ID (iso-abbrev): Medicine (Baltimore)

Journal ID (publisher-id): MEDI

Title: Medicine

Publisher: Lippincott Williams & Wilkins (Hagerstown, MD )

ISSN (Print): 0025-7974

ISSN (Electronic): 1536-5964

Publication date Collection: 26 February 2021

Publication date (Electronic): 26 February 2021

Volume: 100

Issue: 8

Electronic Location Identifier: e24415

Affiliations

[a ]College of Clinical Medicine, Chengdu University of Traditional Chinese Medicine, NO.37 Shi-er-qiao Road

[b ]Department of Gynecology, Hospital of Chengdu University of Traditional Chinese Medicine, NO.39 Shi-er-qiao Road

[c ]Maternal and Child Reproductive Hospital affiliated to Chengdu University of Traditional Chinese Medicine, NO.17, Section 4, South Renmin Road, Chengdu, Sichuan Province, PR China.

Author notes

[∗ ]Correspondence: Hua Lu, Hospital of Chengdu University of Traditional Chinese Medicine, NO. 39 Shi-er-qiao Road, Chengdu 610075, Sichuan Province, PR China (e-mail: lh18980880525@ 123456126.com ).

Article

Publisher ID: MD-D-21-00029 Accession ID: 24415

DOI: 10.1097/MD.0000000000024415

PMC ID: 7909130

PubMed ID: 33663053

SO-VID: 240618b2-ff0f-4c6c-880e-2fbed524e51b

License:

This is an open access article distributed under the Creative Commons Attribution License 4.0 (CCBY), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. http://creativecommons.org/licenses/by/4.0

History

Date received : 2 January 2021

Date accepted : 4 January 2021

Funding

Funded by: Ministry of Science and Technology of the People's Republic of China

Award ID: 2018YFC1704305

Award Recipient : Hua Lu

Funded by: special fund for Women and Children Reproductive Hospital affiliated to Chengdu University of Traditional Chinese Medicine

Award ID: 2017-EL-16

Award Recipient : Ling Mi

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Keywords: covid-19,meta-analysis,sexual behaviors,systematic review

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Keywords: covid-19, meta-analysis, sexual behaviors, systematic review

The impact of COVID-19 on sexual behaviors of young women and men : A protocol for systematic review and meta analysis

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Abstract

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Novel Coronavirus Disease COVID-19

Most cited references 29

Clinical features of patients infected with 2019 novel coronavirus in Wuhan, China

Critical evaluation of the Newcastle-Ottawa scale for the assessment of the quality of nonrandomized studies in meta-analyses.

Meta-analysis of observational studies in epidemiology: a proposal for reporting. Meta-analysis Of Observational Studies in Epidemiology (MOOSE) group.

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