Sleep duration and metabolic body size phenotypes among Chinese young workers DOI Creative Commons
Jiangshui Wang,

Dan Xue,

Bin Shi

et al.

Frontiers in Public Health, Journal Year: 2022, Volume and Issue: 10

Published: Oct. 5, 2022

The evidence linking sleep duration and metabolic body size phenotypes is limited, especially in young adulthood. In this study, we aimed to examine the association between among Chinese workers investigate whether discrepancies exist shift non-shift workers. A cross-sectional study was performed 2018 2019 Wuhan, China 7,376 adults aged 20–35 years were included. Self-reported coded into four groups: <7, 7–8, 8–9, ≥9 h per day. Participants classified according their mass index health status: metabolically healthy normal weight, unhealthy overweight/obesity (MHO), (MUO). Multinomial logistic regression models used explore associations phenotypes. Compared with those who slept 7–8 each night, <7 day had higher odds of MHO (OR 1.27, 95% CI: 1.02–1.56) MUO 1.22, 1.03–1.43), irrespective multiple confounders. Stratification analyses by work showed that short nighttime increased only observed 1.26, CI 1.03–1.54). Sleep independently associated adults, while could possibly modulate association. These results may provide for advocating adequate toward favorable

Language: Английский

Health policy and public health implications of obesity in China DOI

Youfa Wang,

Li Zhao, Liwang Gao

et al.

The Lancet Diabetes & Endocrinology, Journal Year: 2021, Volume and Issue: 9(7), P. 446 - 461

Published: June 5, 2021

Language: Английский

Citations

344
Association of weight status and the risks of diabetes in adults: a systematic review and meta-analysis of prospective cohort studies DOI
Hongjie Yu, Mandy Ho, Xiangxiang Liu

et al.

International Journal of Obesity, Journal Year: 2022, Volume and Issue: 46(6), P. 1101 - 1113

Published: Feb. 23, 2022

Language: Английский

Citations

40
Metabolically healthy obesity: Misleading phrase or healthy phenotype? DOI
Cem Tanrıöver, Sidar Çöpür, Abduzhappar Gaipov

et al.

European Journal of Internal Medicine, Journal Year: 2023, Volume and Issue: 111, P. 5 - 20

Published: March 6, 2023

Language: Английский

Citations

24
Obesity, metabolic risk and adherence to healthy lifestyle behaviours: prospective cohort study in the UK Biobank DOI Creative Commons
Laura Heath, Susan A. Jebb, Paul Aveyard

et al.

BMC Medicine, Journal Year: 2022, Volume and Issue: 20(1)

Published: Feb. 15, 2022

Contested evidence suggests that obesity confers no risk to health in people who have a healthy lifestyle, particularly if there are metabolic complications of obesity. The aim was examine the association between adherence lifestyle recommendations and absence on incident or fatal cardiovascular disease all-cause mortality across different categories body mass index (BMI).

Language: Английский

Citations

32
Associations between life’s essential 8 and metabolic health among us adults: insights of NHANES from 2005 to 2018 DOI

Tongyue Yang,

Jiayi Yi,

Mingwei Shao

et al.

Acta Diabetologica, Journal Year: 2024, Volume and Issue: 61(8), P. 963 - 974

Published: April 7, 2024

Language: Английский

Citations

5
Metabolically healthy overweight/obesity with no metabolic abnormalities and incident hyperglycaemia in Chinese adults: analysis of a retrospective cohort study DOI Creative Commons
Qin Gao, Bailin Liang, Hongmin Li

et al.

BMJ Open, Journal Year: 2025, Volume and Issue: 15(1), P. e087307 - e087307

Published: Jan. 1, 2025

To explore whether metabolically healthy overweight (MHOW) and/or obesity (MHO) increase hyperglycaemia risk in a Chinese population with broad age range. Retrospective cohort study. Secondary analysis of data from the DATADRYAD database, comprising health check records participants 32 regions and 11 cities China between 2010 2016. A total 47 391 none metabolic abnormalities were selected. Hyperglycaemia includes incident diabetes impaired fasting glucose (IFG). Diabetes was diagnosed blood ≥7.0 mmol/L typical clinical symptoms on self-report during follow-up. The plasma level IFG 5.6 to 6.9 mmol/L. With an average follow-up 3.06 years, 5274 (11.13%) developed over 144 804 person-years, incidence rate 36.42 per 1000 person-years. Adjusted model revealed higher MHOW group (HR=1.23, 95% CIs 1.16 1.30) MHO (HR=1.49, CI 1.33 1.67) compared normal weight group. 1 unit body mass index, increased by 6% (HR=1.06, 1.04 1.07). stratified analyses interaction tests showed robustness association, there stronger association women (p for interaction<0.001). phenotypes positively associated this population, particularly women.

Language: Английский

Citations

0
Physiological and Lifestyle Traits of Metabolic Dysfunction in the Absence of Obesity DOI

H. KLITGAARD,

Jesper Hoffmann Kilbak,

Erica Arhnung Nozawa

et al.

Current Diabetes Reports, Journal Year: 2020, Volume and Issue: 20(6)

Published: March 31, 2020

Language: Английский

Citations

23
All-cause mortality in metabolically healthy individuals was not predicted by overweight and obesity DOI Creative Commons
Qiuyue Tian, Anxin Wang, Yingting Zuo

et al.

JCI Insight, Journal Year: 2020, Volume and Issue: 5(16)

Published: July 14, 2020

BACKGROUNDMetabolically healthy obesity (MHO) and metabolically overweight (MH-OW) have been suggested to be important emerging phenotypes with an increased risk of cardiovascular disease (CVD). However, whether MHO MH-OW are associated all-cause mortality remains inconsistent.METHODSThe association was determined in a Chinese community-based prospective cohort study (the Kailuan study), including 93,272 adults at baseline. Data were analyzed from 2006 2017. Participants categorized into 6 mutually exclusive groups, according BMI metabolic syndrome (MetS) status. The primary outcome death, accidental deaths excluded.RESULTSDuring median follow-up 11.04 years (interquartile range, 10.74-11.22 years), 8977 occurred. Compared participants normal (MH-NW), had the lowest (multivariate-adjusted HR [aHR], 0.926; 95% CI, 0.861-0.997), whereas there no or decreased for (aHR, 1.009; 0.886-1.148). Stratified analyses sensitivity further validated that nonsignificant between mortality.CONCLUSIONSOverweight do not predict individuals.FUNDINGNational Natural Science Foundation China (NSFC; 81673247, 81872682 81773527), NSFC Joint Project, Australian National Health Medical Research Council (NHMRC; 81561128020-NHMRC APP1112767).

Language: Английский

Citations

23
Incidence and temporal trends in type 2 diabetes by weight status: A systematic review and meta-analysis of prospective cohort studies DOI Creative Commons
Hongjie Yu, Mandy Ho, Xiangxiang Liu

et al.

Journal of Global Health, Journal Year: 2023, Volume and Issue: 13

Published: Aug. 31, 2023

Diabetes is more prevalent among overweight/obese individuals, but has become a significant public health challenge normal weight populations. In this meta-analysis, we aimed to estimate diabetes/prediabetes incidence and its temporal trends by status.

Language: Английский

Citations

8
Association between physical activity level and diabetes incidence among Chinese middle-aged and older adults: a cross-sectional study from the China health and retirement longitudinal study DOI Creative Commons
Yunqing Zhang,

Fanhao Meng,

Xueyin Fei

et al.

Frontiers in Public Health, Journal Year: 2024, Volume and Issue: 12

Published: Aug. 9, 2024

It has been shown that diabetes is associated with insufficient physical activity among middle-aged and older adults, but the association between different levels (PAL) incidence needs to be further explored.

Language: Английский

Citations

2