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      Loneliness, depression and sleep quality among the type 2 diabetic patients during COVID‐19 local epidemic: A mediation analysis

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          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          Aims

          To investigate loneliness, depression and sleep quality in patients with Type 2 Diabetes (T2DM) and to examine the mediating role of depression between loneliness and sleep quality among this group of patients with T2DM.

          Design

          A cross‐sectional study.

          Methods

          A group of T2DM patients was recruited from a tertiary hospital affiliated with a university in Wuhu City, Anhui Province from May to October 2021 by convenient sampling. Pearson correlation analysis and structural equation modelling were used for data analysis in this study.

          Results

          The direct effect of loneliness on sleep quality was not statistically significant, but the indirect effect of depression on sleep quality was statistically significant. Depression mediated the relationship between loneliness and sleep quality. Depression can affect emotional health and reduce sleep quality. We should reduce the loneliness of patients, prevent the occurrence of depression and improve the quality of sleep.

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          Most cited references59

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          The Pittsburgh sleep quality index: A new instrument for psychiatric practice and research

          Daniel J. Buysse, Charles Reynolds III, Timothy H Monk … (1989)
          Despite the prevalence of sleep complaints among psychiatric patients, few questionnaires have been specifically designed to measure sleep quality in clinical populations. The Pittsburgh Sleep Quality Index (PSQI) is a self-rated questionnaire which assesses sleep quality and disturbances over a 1-month time interval. Nineteen individual items generate seven "component" scores: subjective sleep quality, sleep latency, sleep duration, habitual sleep efficiency, sleep disturbances, use of sleeping medication, and daytime dysfunction. The sum of scores for these seven components yields one global score. Clinical and clinimetric properties of the PSQI were assessed over an 18-month period with "good" sleepers (healthy subjects, n = 52) and "poor" sleepers (depressed patients, n = 54; sleep-disorder patients, n = 62). Acceptable measures of internal homogeneity, consistency (test-retest reliability), and validity were obtained. A global PSQI score greater than 5 yielded a diagnostic sensitivity of 89.6% and specificity of 86.5% (kappa = 0.75, p less than 0.001) in distinguishing good and poor sleepers. The clinimetric and clinical properties of the PSQI suggest its utility both in psychiatric clinical practice and research activities.
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            The CES-D Scale: A Self-Report Depression Scale for Research in the General Population

            L Radloff (1977)
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              Multidisciplinary research priorities for the COVID-19 pandemic: a call for action for mental health science

              Emily A. Holmes, Rory C O'Connor, V. Perry … (2020)
              Summary The coronavirus disease 2019 (COVID-19) pandemic is having a profound effect on all aspects of society, including mental health and physical health. We explore the psychological, social, and neuroscientific effects of COVID-19 and set out the immediate priorities and longer-term strategies for mental health science research. These priorities were informed by surveys of the public and an expert panel convened by the UK Academy of Medical Sciences and the mental health research charity, MQ: Transforming Mental Health, in the first weeks of the pandemic in the UK in March, 2020. We urge UK research funding agencies to work with researchers, people with lived experience, and others to establish a high level coordination group to ensure that these research priorities are addressed, and to allow new ones to be identified over time. The need to maintain high-quality research standards is imperative. International collaboration and a global perspective will be beneficial. An immediate priority is collecting high-quality data on the mental health effects of the COVID-19 pandemic across the whole population and vulnerable groups, and on brain function, cognition, and mental health of patients with COVID-19. There is an urgent need for research to address how mental health consequences for vulnerable groups can be mitigated under pandemic conditions, and on the impact of repeated media consumption and health messaging around COVID-19. Discovery, evaluation, and refinement of mechanistically driven interventions to address the psychological, social, and neuroscientific aspects of the pandemic are required. Rising to this challenge will require integration across disciplines and sectors, and should be done together with people with lived experience. New funding will be required to meet these priorities, and it can be efficiently leveraged by the UK's world-leading infrastructure. This Position Paper provides a strategy that may be both adapted for, and integrated with, research efforts in other countries.
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                Author and article information

                Contributors
                Yuanzhen Li: yuanzhen.li@wnmc.edu.cn
                Journal
                Journal ID (nlm-ta): Nurs Open
                Journal ID (iso-abbrev): Nurs Open
                Journal ID (doi): 10.1002/(ISSN)2054-1058
                Journal ID (publisher-id): NOP2
                Title: Nursing Open
                Publisher: John Wiley and Sons Inc. (Hoboken )
                ISSN (Electronic): 2054-1058
                Publication date (Electronic): 02 July 2023
                Publication date Collection: September 2023
                Volume: 10
                Issue: 9 ( doiID: 10.1002/nop2.v10.9 )
                Pages: 6345-6356
                Affiliations
                [ 1 ] School of Nursing Wannan Medical College Wuhu P.R. China
                [ 2 ] Nursing Department The First Affiliated Hospital of Wannan Medical College Wuhu P.R. China
                [ 3 ] Department of Endocrinology Affiliated Hospital of Wannan Medical College Wuhu P.R. China
                Author notes
                [*] [* ] Correspondence

                Yuanzhen Li, School of Nursing, Wannan Medical College, No. 22 Wenchang West Road, Higher Education Park, Wuhu, An Hui, P.R. China.

                Email: yuanzhen.li@ 123456wnmc.edu.cn

                Author information
                https://orcid.org/0000-0001-7476-2911
                https://orcid.org/0000-0001-7798-3365
                Article
                Publisher ID: NOP21883 Other ID: NOP-2022-Feb-0266.R3
                DOI: 10.1002/nop2.1883
                PMC ID: 10415996
                PubMed ID: 37394712
                SO-VID: 185497d5-5591-4202-8dbb-e5c6ac1a6dde
                Copyright © © 2023 The Authors. Nursing Open published by John Wiley & Sons Ltd.
                License:

                This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc-nd/4.0/ License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made.

                History
                Date revision received : 08 May 2023
                Date received : 01 April 2022
                Date accepted : 29 May 2023
                Page count
                Figures: 3, Tables: 5, Pages: 12, Words: 7358
                Categories
                Subject: Research Article
                Subject: Research Articles
                Custom metadata
                source-schema-version-number 2.0
                cover-date September 2023
                details-of-publishers-convertor Converter:WILEY_ML3GV2_TO_JATSPMC version:6.3.2 mode:remove_FC converted:11.08.2023

                Keywords: depression,loneliness,sleep quality,structural equation modelling,type 2 diabetes mellitus
                Data availability:
                Keywords: depression, loneliness, sleep quality, structural equation modelling, type 2 diabetes mellitus

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