Evidence map›Paper›PMID 35535215›Full record

ArticleDiabetes, metabolic syndrome and obesity : targets and therapy2022

Association Between Nocturnal Sleep Duration and Obesity Indicators Among People with Type 2 Diabetes: A Cross-Sectional Study in Ningbo, China.

Miao Xu, Kaushik Chattopadhyay, Xingjun Qian, Jialin Li, Xueyu Li, Jing Sun, Li Li

Abstract read
In one paragraph

Article in Diabetes, metabolic syndrome and obesity : targets and therapy, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

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0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Miao Xu *Department of Endocrinology and Metabolism, Ningbo First Hospital, Ningbo, People's Republic of China.ORCID 0000-0003-2411-9295
Kaushik Chattopadhyay *Division of Epidemiology and Public Health, School of Medicine, University of Nottingham, Nottingham, UK.ORCID 0000-0002-3235-8168
Xingjun QianHealth Management Center, Ningbo First Hospital, Ningbo, People's Republic of China.
Jialin LiDepartment of Endocrinology and Metabolism, Ningbo First Hospital, Ningbo, People's Republic of China.ORCID 0000-0001-6930-9530
Xueyu LiDepartment of Endocrinology and Metabolism, Ningbo First Hospital, Ningbo, People's Republic of China.
Jing SunSchool of Medicine and Dentistry, Griffith University, Gold Coast, Queensland, Australia.ORCID 0000-0002-0097-2438
Li LiDepartment of Endocrinology and Metabolism, Ningbo First Hospital, Ningbo, People's Republic of China.ORCID 0000-0001-6301-3544

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aim: The study aimed to investigate the association between the nocturnal sleep duration and five obesity indicators, namely, visceral fat area (VFA), subcutaneous fat area (SFA), bodyweight, body mass index (BMI) and waist circumference (WC), among people with type 2 diabetes mellitus (T2DM) in Ningbo, China. Methods: A cross-sectional study was conducted using the National Metabolic Management Centre (MMC) - Ningbo First Hospital data from 1st March 2018 to 28th February 2021. Adults with T2DM were included in the study. Simple and multiple (adjusted for sociodemographic and lifestyle factors and health conditions) linear regression analyses were performed to identify the associations. Results: In terms of VFA, SFA, bodyweight, BMI and WC, the eligibility criteria were satisfied by 2771, 2771, 2863, 2863 and 2862 patients, respectively. In the unadjusted model, the shorter nocturnal sleep duration was associated with higher VFA, SFA, bodyweight, BMI and WC. In other words, an hour increase in the nocturnal sleep duration was associated with a decrease of 2.07 cm Conclusion: The nocturnal sleep duration among people with T2DM in Ningbo, China is negatively associated with visceral and general obesity indicators (VFA, bodyweight and BMI). Thus, there is a need for appropriate interventions to address the issue of sleep deprivation.

Indexed as

Chinanocturnal sleepobesitytype 2 diabetes mellitus

Identifiers

PMID35535215
PMCPMC9078341

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.