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Published in: BMC Public Health 1/2022

Open Access 01-12-2022 | Obesity | Research

Obesity indicators as mediators of association between daytime napping and type 2 diabetes mellitus: the Guangzhou Biobank Cohort Study

Authors: Jing Yi Xiao, Wei Sen Zhang, Chao Qiang Jiang, Ya Li Jin, Feng Zhu, Kar Keung Cheng, Tai Hing Lam, Lin Xu

Published in: BMC Public Health | Issue 1/2022

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Abstract

Objective

To examine the mediating effect of obesity indicators on the association between daytime napping and type 2 diabetes mellitus (T2DM) qualitatively and quantitatively using baseline data from the Guangzhou Biobank Cohort Study.

Methods

Twenty-nine thousand three hundred fifty-five participants aged 50+ years were included in this cross-sectional study. Mediation analysis was used to assess the mediating effect of body mass index (BMI), waist circumference (WC), hip circumference (HC), waist-to-hip ratio (WHR) and waist-to-height ratio (WHtR) on the association between daytime napping and T2DM after adjustment for sex, age, education, occupation, smoking status, alcohol use and physical activity.

Results

The mean (standard deviation) age of participants was 61.5 ( 7.1) years. The prevalence of T2DM and daytime napping was 12.5% and 65.2%, respectively. After adjustment for potential confounders, WC, WHR and WHtR showed partial mediating effects on the association between daytime napping and T2DM, with the proportion (95% confidence interval) of mediation effect being 10.17% (8.14–14.43%), 14.91% (11.95–21.24%) and 9.36% (7.49–13.29%), respectively. No mediating effect of BMI or HC on the association between daytime napping and T2DM was found.

Conclusions

Our results showed significant mediating effects of WC, WHR and WHtR on the association between daytime napping and T2DM, suggesting that waist circumference management could be important in daytime nappers.
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Literature
1.
go back to reference Zimmet PZ, Magliano DJ, Herman WH, Shaw JE. Diabetes: a 21st century challenge. Lancet Diabetes Endocrinol. 2014;2(1):56–64.PubMedCrossRef Zimmet PZ, Magliano DJ, Herman WH, Shaw JE. Diabetes: a 21st century challenge. Lancet Diabetes Endocrinol. 2014;2(1):56–64.PubMedCrossRef
2.
go back to reference Saeedi P, Petersohn I, Salpea P, Malanda B, Karuranga S, Unwin N, et al. Global and regional diabetes prevalence estimates for 2019 and projections for 2030 and 2045: results from the international diabetes federation diabetes atlas, 9(th) edition. Diabetes Res Clin Pract. 2019;157:107843.PubMedCrossRef Saeedi P, Petersohn I, Salpea P, Malanda B, Karuranga S, Unwin N, et al. Global and regional diabetes prevalence estimates for 2019 and projections for 2030 and 2045: results from the international diabetes federation diabetes atlas, 9(th) edition. Diabetes Res Clin Pract. 2019;157:107843.PubMedCrossRef
3.
go back to reference Standl E, Khunti K, Hansen TB, Schnell O. The global epidemics of diabetes in the 21st century: current situation and perspectives. Eur J Prev Cardiol. 2019;26(2_Suppl):7–14.PubMedCrossRef Standl E, Khunti K, Hansen TB, Schnell O. The global epidemics of diabetes in the 21st century: current situation and perspectives. Eur J Prev Cardiol. 2019;26(2_Suppl):7–14.PubMedCrossRef
4.
go back to reference Wang H, Chen L, Shen D, Cao Y, Zhang X, Xie K, et al. Association of daytime napping in relation to risk of diabetes: evidence from a prospective study in Zhejiang, China. Nutr Metab (Lond). 2021;18(1):18.CrossRef Wang H, Chen L, Shen D, Cao Y, Zhang X, Xie K, et al. Association of daytime napping in relation to risk of diabetes: evidence from a prospective study in Zhejiang, China. Nutr Metab (Lond). 2021;18(1):18.CrossRef
5.
go back to reference Leong RLF, Yu N, Ong JL, Ng ASC, Jamaluddin SA, Cousins JN, et al. Memory performance following napping in habitual and non-habitual nappers. Sleep. 2021;44(6):zsaa277.PubMedCrossRef Leong RLF, Yu N, Ong JL, Ng ASC, Jamaluddin SA, Cousins JN, et al. Memory performance following napping in habitual and non-habitual nappers. Sleep. 2021;44(6):zsaa277.PubMedCrossRef
6.
go back to reference Faraut B, Andrillon T, Vecchierini MF, Leger D. Napping: a public health issue. From epidemiological to laboratory studies. Sleep Med Rev. 2017;35:85–100.PubMedCrossRef Faraut B, Andrillon T, Vecchierini MF, Leger D. Napping: a public health issue. From epidemiological to laboratory studies. Sleep Med Rev. 2017;35:85–100.PubMedCrossRef
7.
go back to reference Ru T, Chen Q, You J, Zhou G. Effects of a short midday nap on habitual nappers' alertness, mood and mental performance across cognitive domains. J Sleep Res. 2019;28(3):e12638.PubMedCrossRef Ru T, Chen Q, You J, Zhou G. Effects of a short midday nap on habitual nappers' alertness, mood and mental performance across cognitive domains. J Sleep Res. 2019;28(3):e12638.PubMedCrossRef
9.
go back to reference Wang C, Bangdiwala SI, Rangarajan S, Lear SA, AlHabib KF, Mohan V, et al. Association of estimated sleep duration and naps with mortality and cardiovascular events: a study of 116 632 people from 21 countries. Eur Heart J. 2019;40(20):1620–9.PubMedCrossRef Wang C, Bangdiwala SI, Rangarajan S, Lear SA, AlHabib KF, Mohan V, et al. Association of estimated sleep duration and naps with mortality and cardiovascular events: a study of 116 632 people from 21 countries. Eur Heart J. 2019;40(20):1620–9.PubMedCrossRef
11.
go back to reference Lam KB, Jiang CQ, Thomas GN, Arora T, Zhang WS, Taheri S, et al. Napping is associated with increased risk of type 2 diabetes: the Guangzhou biobank cohort study. Sleep. 2010;33(3):402–7.PubMedPubMedCentralCrossRef Lam KB, Jiang CQ, Thomas GN, Arora T, Zhang WS, Taheri S, et al. Napping is associated with increased risk of type 2 diabetes: the Guangzhou biobank cohort study. Sleep. 2010;33(3):402–7.PubMedPubMedCentralCrossRef
12.
go back to reference Han X, Liu B, Wang J, Pan A, Li Y, Hu H, et al. Long sleep duration and afternoon napping are associated with higher risk of incident diabetes in middle-aged and older Chinese: the Dongfeng-Tongji cohort study. Ann Med. 2016;48(4):216–23.PubMedCrossRef Han X, Liu B, Wang J, Pan A, Li Y, Hu H, et al. Long sleep duration and afternoon napping are associated with higher risk of incident diabetes in middle-aged and older Chinese: the Dongfeng-Tongji cohort study. Ann Med. 2016;48(4):216–23.PubMedCrossRef
13.
go back to reference Liu R, Li Y, Mao Z, Liu X, Zhang H, Yang K, et al. Gender-specific independent and combined dose-response association of napping and night sleep duration with type 2 diabetes mellitus in rural Chinese adults: the RuralDiab study. Sleep Med. 2018;45:106–13.PubMedCrossRef Liu R, Li Y, Mao Z, Liu X, Zhang H, Yang K, et al. Gender-specific independent and combined dose-response association of napping and night sleep duration with type 2 diabetes mellitus in rural Chinese adults: the RuralDiab study. Sleep Med. 2018;45:106–13.PubMedCrossRef
14.
go back to reference Chen GC, Liu MM, Chen LH, Xu JY, Hidayat K, Li FR, et al. Daytime napping and risk of type 2 diabetes: a meta-analysis of prospective studies. Sleep Breath. 2018;22(3):815–24.PubMedCrossRef Chen GC, Liu MM, Chen LH, Xu JY, Hidayat K, Li FR, et al. Daytime napping and risk of type 2 diabetes: a meta-analysis of prospective studies. Sleep Breath. 2018;22(3):815–24.PubMedCrossRef
15.
go back to reference Xu Q, Song Y, Hollenbeck A, Blair A, Schatzkin A, Chen H. Day napping and short night sleeping are associated with higher risk of diabetes in older adults. Diabetes Care. 2010;33(1):78–83.PubMedCrossRef Xu Q, Song Y, Hollenbeck A, Blair A, Schatzkin A, Chen H. Day napping and short night sleeping are associated with higher risk of diabetes in older adults. Diabetes Care. 2010;33(1):78–83.PubMedCrossRef
16.
go back to reference Kowall B, Lehnich AT, Strucksberg KH, Führer D, Erbel R, Jankovic N, et al. Associations among sleep disturbances, nocturnal sleep duration, daytime napping, and incident prediabetes and type 2 diabetes: the Heinz Nixdorf recall study. Sleep Med. 2016;21:35–41.PubMedCrossRef Kowall B, Lehnich AT, Strucksberg KH, Führer D, Erbel R, Jankovic N, et al. Associations among sleep disturbances, nocturnal sleep duration, daytime napping, and incident prediabetes and type 2 diabetes: the Heinz Nixdorf recall study. Sleep Med. 2016;21:35–41.PubMedCrossRef
17.
go back to reference Leng Y, Cappuccio FP, Surtees PG, Luben R, Brayne C, Khaw KT. Daytime napping, sleep duration and increased 8-year risk of type 2 diabetes in a British population. Nutr Metab Cardiovasc Dis. 2016;26(11):996–1003.PubMedPubMedCentralCrossRef Leng Y, Cappuccio FP, Surtees PG, Luben R, Brayne C, Khaw KT. Daytime napping, sleep duration and increased 8-year risk of type 2 diabetes in a British population. Nutr Metab Cardiovasc Dis. 2016;26(11):996–1003.PubMedPubMedCentralCrossRef
18.
go back to reference McWhorter KL, Park YM, Gaston SA, Fang KB, Sandler DP, Jackson CL. Multiple sleep dimensions and type 2 diabetes risk among women in the sister study: differences by race/ethnicity. BMJ Open Diabetes Res Care. 2019;7(1):e000652.PubMedPubMedCentralCrossRef McWhorter KL, Park YM, Gaston SA, Fang KB, Sandler DP, Jackson CL. Multiple sleep dimensions and type 2 diabetes risk among women in the sister study: differences by race/ethnicity. BMJ Open Diabetes Res Care. 2019;7(1):e000652.PubMedPubMedCentralCrossRef
19.
go back to reference Lin L, Lu C, Chen W, Guo VY. Daytime napping and nighttime sleep duration with incident diabetes mellitus: a cohort study in chinese older adults. Int J Environ Res Public Health. 2021;18(9):5012.PubMedPubMedCentralCrossRef Lin L, Lu C, Chen W, Guo VY. Daytime napping and nighttime sleep duration with incident diabetes mellitus: a cohort study in chinese older adults. Int J Environ Res Public Health. 2021;18(9):5012.PubMedPubMedCentralCrossRef
20.
go back to reference Dashti HS, Daghlas I, Lane JM, Huang YR, Udler MS, Wang HM, et al. Genetic determinants of daytime napping and effects on cardiometabolic health. Nat Commun. 2021;12(1):900.PubMedPubMedCentralCrossRef Dashti HS, Daghlas I, Lane JM, Huang YR, Udler MS, Wang HM, et al. Genetic determinants of daytime napping and effects on cardiometabolic health. Nat Commun. 2021;12(1):900.PubMedPubMedCentralCrossRef
21.
go back to reference Dashti HS, Ordovás JM. Genetics of sleep and insights into its relationship with obesity. Annu Rev Nutr. 2021;41:223–52.PubMedCrossRef Dashti HS, Ordovás JM. Genetics of sleep and insights into its relationship with obesity. Annu Rev Nutr. 2021;41:223–52.PubMedCrossRef
22.
go back to reference Papandreou C, Díaz-López A, Babio N, Martínez-González MA, Bulló M, Corella D, et al. Long Daytime Napping Is Associated with Increased Adiposity and Type 2 Diabetes in an Elderly Population with Metabolic Syndrome. J Clin Med. 2019;8(7):1053.PubMedCentralCrossRef Papandreou C, Díaz-López A, Babio N, Martínez-González MA, Bulló M, Corella D, et al. Long Daytime Napping Is Associated with Increased Adiposity and Type 2 Diabetes in an Elderly Population with Metabolic Syndrome. J Clin Med. 2019;8(7):1053.PubMedCentralCrossRef
24.
go back to reference Dashti HS, Daghlas I, Lane JM, Huang Y, Udler MS, Wang H, et al. Genetic determinants of daytime napping and effects on cardiometabolic health. Nat Commun. 2021;12(1):900.PubMedPubMedCentralCrossRef Dashti HS, Daghlas I, Lane JM, Huang Y, Udler MS, Wang H, et al. Genetic determinants of daytime napping and effects on cardiometabolic health. Nat Commun. 2021;12(1):900.PubMedPubMedCentralCrossRef
25.
go back to reference Wang T, Zhang R, Ma XJ, Wang SY, He Z, Huang YP, et al. Causal Association of Overall Obesity and Abdominal Obesity with type 2 diabetes: a Mendelian randomization analysis. Obesity. 2018;26(5):934–42.PubMedCrossRef Wang T, Zhang R, Ma XJ, Wang SY, He Z, Huang YP, et al. Causal Association of Overall Obesity and Abdominal Obesity with type 2 diabetes: a Mendelian randomization analysis. Obesity. 2018;26(5):934–42.PubMedCrossRef
26.
27.
go back to reference Zhou J, Kessler AS, Su D. Association between daytime napping and chronic diseases in China. Am J Health Behav. 2016;40(2):182–93.PubMedCrossRef Zhou J, Kessler AS, Su D. Association between daytime napping and chronic diseases in China. Am J Health Behav. 2016;40(2):182–93.PubMedCrossRef
28.
go back to reference Jiang CQ, Thomas GN, Lam TH, Schooling CM, Zhang WS, Lao XQ, et al. Cohort profile: the Guangzhou biobank cohort study, a Guangzhou-Hong Kong-Birmingham collaboration. Int J Epidemiol. 2006;35(4):844–52.PubMedCrossRef Jiang CQ, Thomas GN, Lam TH, Schooling CM, Zhang WS, Lao XQ, et al. Cohort profile: the Guangzhou biobank cohort study, a Guangzhou-Hong Kong-Birmingham collaboration. Int J Epidemiol. 2006;35(4):844–52.PubMedCrossRef
29.
go back to reference Deng HB, Macfarlane DJ, Thomas GN, Lao XQ, Jiang CQ, Cheng KK, et al. Reliability and validity of the IPAQ-Chinese: the Guangzhou biobank cohort study. Med Sci Sports Exerc. 2008;40(2):303–7.PubMedCrossRef Deng HB, Macfarlane DJ, Thomas GN, Lao XQ, Jiang CQ, Cheng KK, et al. Reliability and validity of the IPAQ-Chinese: the Guangzhou biobank cohort study. Med Sci Sports Exerc. 2008;40(2):303–7.PubMedCrossRef
30.
go back to reference Assoc AD. Diagnosis and classification of diabetes mellitus. Diabetes Care. 2014;37:S81–90.CrossRef Assoc AD. Diagnosis and classification of diabetes mellitus. Diabetes Care. 2014;37:S81–90.CrossRef
31.
go back to reference Imai K, Keele L, Yamamoto T. Identification, inference and sensitivity analysis for causal mediation effects. Stat Sci. 2010;25(1):51–71.CrossRef Imai K, Keele L, Yamamoto T. Identification, inference and sensitivity analysis for causal mediation effects. Stat Sci. 2010;25(1):51–71.CrossRef
32.
go back to reference Hicks R, Tingley D. Causal mediation analysis. Stata J. 2011;11(4):605–19.CrossRef Hicks R, Tingley D. Causal mediation analysis. Stata J. 2011;11(4):605–19.CrossRef
33.
go back to reference Loredo JS, Weng J, Ramos AR, Sotres-Alvarez D, Simonelli G, Talavera GA, et al. Sleep patterns and obesity: Hispanic community health study/study of Latinos Sueño Ancillar study. Chest. 2019;156(2):348–56.PubMedPubMedCentralCrossRef Loredo JS, Weng J, Ramos AR, Sotres-Alvarez D, Simonelli G, Talavera GA, et al. Sleep patterns and obesity: Hispanic community health study/study of Latinos Sueño Ancillar study. Chest. 2019;156(2):348–56.PubMedPubMedCentralCrossRef
34.
go back to reference Guo VY, Cao B, Wong CKH, Yu EYT. The association between daytime napping and risk of diabetes: a systematic review and meta-analysis of observational studies. Sleep Med. 2017;37:105–12.PubMedCrossRef Guo VY, Cao B, Wong CKH, Yu EYT. The association between daytime napping and risk of diabetes: a systematic review and meta-analysis of observational studies. Sleep Med. 2017;37:105–12.PubMedCrossRef
35.
go back to reference Fan YX, Wang RD, Ding L, Meng ZW, Zhang Q, Shen Y, et al. Waist circumference and its changes are more strongly associated with the risk of type 2 diabetes than body mass index and changes in body weight in Chinese adults. J Nutr. 2020;150(5):1259–65.PubMedCrossRef Fan YX, Wang RD, Ding L, Meng ZW, Zhang Q, Shen Y, et al. Waist circumference and its changes are more strongly associated with the risk of type 2 diabetes than body mass index and changes in body weight in Chinese adults. J Nutr. 2020;150(5):1259–65.PubMedCrossRef
36.
go back to reference Ponti F, Santoro A, Mercatelli D, Gasperini C, Conte M, Martucci M, et al. Aging and imaging assessment of body composition: from fat to facts. Front Endocrinol (Lausanne). 2020;10:861.CrossRef Ponti F, Santoro A, Mercatelli D, Gasperini C, Conte M, Martucci M, et al. Aging and imaging assessment of body composition: from fat to facts. Front Endocrinol (Lausanne). 2020;10:861.CrossRef
37.
go back to reference Bowman K, Atkins JL, Delgado J, Kos K, Kuchel GA, Ble A, et al. Central adiposity and the overweight risk paradox in aging: follow-up of 130,473 UK biobank participants. Am J Clin Nutr. 2017;106(1):130–5.PubMedPubMedCentralCrossRef Bowman K, Atkins JL, Delgado J, Kos K, Kuchel GA, Ble A, et al. Central adiposity and the overweight risk paradox in aging: follow-up of 130,473 UK biobank participants. Am J Clin Nutr. 2017;106(1):130–5.PubMedPubMedCentralCrossRef
38.
go back to reference Song PG, Li X, Bu YJ, Ding SB, Zhai DS, Wang EH, et al. Temporal trends in normal weight central obesity and its associations with cardiometabolic risk among Chinese adults. Sci Rep. 2019;9:5411.PubMedPubMedCentralCrossRef Song PG, Li X, Bu YJ, Ding SB, Zhai DS, Wang EH, et al. Temporal trends in normal weight central obesity and its associations with cardiometabolic risk among Chinese adults. Sci Rep. 2019;9:5411.PubMedPubMedCentralCrossRef
39.
go back to reference Patel SR, Hayes AL, Blackwell T, Evans DS, Ancoli-Israel S, Wing YK, et al. The association between sleep patterns and obesity in older adults. Int J Obes. 2014;38(9):1159–64.CrossRef Patel SR, Hayes AL, Blackwell T, Evans DS, Ancoli-Israel S, Wing YK, et al. The association between sleep patterns and obesity in older adults. Int J Obes. 2014;38(9):1159–64.CrossRef
40.
go back to reference Wang N, Zou J, Fang S, Zhou J. Association between daytime napping and obesity in Chinese middle-aged and older adults. J Glob Health. 2020;10(2):020804.PubMedPubMedCentralCrossRef Wang N, Zou J, Fang S, Zhou J. Association between daytime napping and obesity in Chinese middle-aged and older adults. J Glob Health. 2020;10(2):020804.PubMedPubMedCentralCrossRef
41.
42.
44.
go back to reference Devine JK, Wolf JM. Determinants of cortisol awakening responses to naps and nighttime sleep. Psychoneuroendocrinology. 2016;63:128–34.PubMedCrossRef Devine JK, Wolf JM. Determinants of cortisol awakening responses to naps and nighttime sleep. Psychoneuroendocrinology. 2016;63:128–34.PubMedCrossRef
45.
go back to reference Bluher M. Adipose tissue dysfunction contributes to obesity related metabolic diseases. Best Pract Res Clin Endocrinol Metab. 2013;27(2):163–77.PubMedCrossRef Bluher M. Adipose tissue dysfunction contributes to obesity related metabolic diseases. Best Pract Res Clin Endocrinol Metab. 2013;27(2):163–77.PubMedCrossRef
46.
go back to reference Vekic J, Zeljkovic A, Stefanovic A, Jelic-Ivanovic Z, Spasojevic-Kalimanovska V. Obesity and dyslipidemia. Metabolism. 2019;92:71–81.PubMedCrossRef Vekic J, Zeljkovic A, Stefanovic A, Jelic-Ivanovic Z, Spasojevic-Kalimanovska V. Obesity and dyslipidemia. Metabolism. 2019;92:71–81.PubMedCrossRef
47.
48.
go back to reference Leng Y, Ahmadi-Abhari S, Wainwright NWJ, Cappuccio FP, Surtees PG, Luben R, et al. Daytime napping, sleep duration and serum C reactive protein: a population-based cohort study. BMJ Open. 2014;4(11):e006071.PubMedPubMedCentralCrossRef Leng Y, Ahmadi-Abhari S, Wainwright NWJ, Cappuccio FP, Surtees PG, Luben R, et al. Daytime napping, sleep duration and serum C reactive protein: a population-based cohort study. BMJ Open. 2014;4(11):e006071.PubMedPubMedCentralCrossRef
49.
go back to reference Kahn SE, Hull RL, Utzschneider KM. Mechanisms linking obesity to insulin resistance and type 2 diabetes. Nature. 2006;444(7121):840–6.PubMedCrossRef Kahn SE, Hull RL, Utzschneider KM. Mechanisms linking obesity to insulin resistance and type 2 diabetes. Nature. 2006;444(7121):840–6.PubMedCrossRef
50.
go back to reference Esser N, Legrand-Poels S, Piette J, Scheen AJ, Paquot N. Inflammation as a link between obesity, metabolic syndrome and type 2 diabetes. Diabetes Res Clin Pract. 2014;105(2):141–50.PubMedCrossRef Esser N, Legrand-Poels S, Piette J, Scheen AJ, Paquot N. Inflammation as a link between obesity, metabolic syndrome and type 2 diabetes. Diabetes Res Clin Pract. 2014;105(2):141–50.PubMedCrossRef
51.
go back to reference Xu Y, Wang L, He J, Bi Y, Li M, Wang T, et al. Prevalence and control of diabetes in Chinese adults. JAMA. 2013;310(9):948–59.PubMedCrossRef Xu Y, Wang L, He J, Bi Y, Li M, Wang T, et al. Prevalence and control of diabetes in Chinese adults. JAMA. 2013;310(9):948–59.PubMedCrossRef
Metadata
Title
Obesity indicators as mediators of association between daytime napping and type 2 diabetes mellitus: the Guangzhou Biobank Cohort Study
Authors
Jing Yi Xiao
Wei Sen Zhang
Chao Qiang Jiang
Ya Li Jin
Feng Zhu
Kar Keung Cheng
Tai Hing Lam
Lin Xu
Publication date
01-12-2022
Publisher
BioMed Central
Published in
BMC Public Health / Issue 1/2022
Electronic ISSN: 1471-2458
DOI
https://doi.org/10.1186/s12889-021-12451-8

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