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08.12.2022 | Sleep Breathing Physiology and Disorders • Review

Daytime napping and coronary heart disease risk in adults: a systematic review and dose–response meta-analysis

verfasst von: Nader Salari, Sajjad Moradi, Reza Bagheri, Sepide Talebi, Alexei Wong, Basir Babavaisi, Mohammad ali Hojjati Kermani, Niloofar Hemati

Erschienen in: Sleep and Breathing

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Abstract

Purpose

The present study investigated the association between daytime napping and coronary heart disease (CHD) risk among adults.

Methods

Articles were detected by using PubMed, ISI Web of Science, and Scopus databases until November 8th, 2021. The relevant data were found among the eight included articles and were pooled for meta-analysis in adult participants via a random-effects model.

Results

Among 167,025 adults, the results revealed that daytime napping was associated with an enhanced risk of CHD (risk ratios [RR] = 1.30; 95% CI: 1.06, 1.60; p < 0.001). Subgroup analysis by daytime napping duration also indicated that daytime napping for at least 1 h had three times higher influence on the enhanced risk of CHD (RR = 1.34; 95% CI: 1.14, 1.58; p < 0.001) than that of daytime napping for less than 1 h (RR = 1.10; 95% CI: 1.02, 1.19; p = 0.014). In addition, subgroup analysis by region illustrated that daytime napping was linked with an enhanced risk of CHD in Chinese (RR = 1.41; 95% CI: 1.19, 1.66; p < 0.001), but not in European or American populations. Furthermore, the subgroup analysis of napping duration and risk of CHD suggested that their relation was significant just in those studies that controlled for depressive symptoms (RR = 1.52; 95% CI: 1.29, 1.80; p < 0.001, n = 3) and night sleep duration (RR = 1.42; 95% CI: 1.21, 1.66; p < 0.001, n = 5). The linear dose–response meta-analysis revealed that each 15-min increase in daytime napping was related with a 5% higher risk of CHD (RR = 1.05; 95% CI: 1.02, 1.08; I2 = 58.7%; p < 0.001). Furthermore, nonlinear dose–response meta-analysis revealed a positive linear relationship between daytime napping and CHD risk in adults (p nonlinearity = 0.484, p dose–response = 0.003).

Conclusion

Results showed that daytime napping was related with an increased risk of CHD in adults. The evidence from this study suggests that the public should be made conscious of the adverse outcomes of long daytime napping for CHD, notably among the Chinese population. Additional studies are required to confirm potential links between CHD risk and daytime napping.
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Literatur
1.
Zurück zum Zitat Virani SS et al (2021) Heart disease and stroke statistics—2021 update: a report from the American Heart Association. Circulation 143(8):e254–e743 CrossRef Virani SS et al (2021) Heart disease and stroke statistics—2021 update: a report from the American Heart Association. Circulation 143(8):e254–e743 CrossRef
2.
Zurück zum Zitat Zhu KF et al (2016) National prevalence of coronary heart disease and its relationship with human development index: a systematic review. Eur J Prev Cardiol 23(5):530–543 CrossRef Zhu KF et al (2016) National prevalence of coronary heart disease and its relationship with human development index: a systematic review. Eur J Prev Cardiol 23(5):530–543 CrossRef
3.
Zurück zum Zitat Dalen JE et al (2014) The epidemic of the 20(th) century: coronary heart disease. Am J Med 127(9):807–812 CrossRef Dalen JE et al (2014) The epidemic of the 20(th) century: coronary heart disease. Am J Med 127(9):807–812 CrossRef
4.
Zurück zum Zitat Keys A (1975) Coronary heart disease—the global picture. Atherosclerosis 22(2):149–192 CrossRef Keys A (1975) Coronary heart disease—the global picture. Atherosclerosis 22(2):149–192 CrossRef
5.
Zurück zum Zitat Xinyao L. et al. The classificatied prediction of coronary heart disease based on patient similarity analysis. 2021. Xinyao L. et al. The classificatied prediction of coronary heart disease based on patient similarity analysis. 2021.
6.
Zurück zum Zitat Uli RE et al (2020) Health and productivity burden of coronary heart disease in the working Indonesian population using life-table modelling. BMJ Open 10(9):e039221 CrossRef Uli RE et al (2020) Health and productivity burden of coronary heart disease in the working Indonesian population using life-table modelling. BMJ Open 10(9):e039221 CrossRef
7.
Zurück zum Zitat Hajar R (2017) Risk factors for coronary artery disease: historical perspectives. Heart views: the official journal of the Gulf Heart Association 18(3):109 CrossRef Hajar R (2017) Risk factors for coronary artery disease: historical perspectives. Heart views: the official journal of the Gulf Heart Association 18(3):109 CrossRef
8.
Zurück zum Zitat Bai MF, Wang X (2020) Risk factors associated with coronary heart disease in women: a systematic review. Herz 45(Suppl 1):52–57 CrossRef Bai MF, Wang X (2020) Risk factors associated with coronary heart disease in women: a systematic review. Herz 45(Suppl 1):52–57 CrossRef
9.
Zurück zum Zitat Khera AV, Kathiresan S (2017) Genetics of coronary artery disease: discovery, biology and clinical translation. Nat Rev Genet 18(6):331–344 CrossRef Khera AV, Kathiresan S (2017) Genetics of coronary artery disease: discovery, biology and clinical translation. Nat Rev Genet 18(6):331–344 CrossRef
10.
Zurück zum Zitat Lao XQ et al (2018) Sleep quality, sleep duration, and the risk of coronary heart disease: a prospective cohort study with 60,586 adults. J Clin Sleep Med 14(1):109–117 CrossRef Lao XQ et al (2018) Sleep quality, sleep duration, and the risk of coronary heart disease: a prospective cohort study with 60,586 adults. J Clin Sleep Med 14(1):109–117 CrossRef
11.
Zurück zum Zitat Li F et al (2016) Longtime napping is associated with cardiovascular risk estimation according to Framingham risk score in postmenopausal women. Menopause 23(9):950–956 CrossRef Li F et al (2016) Longtime napping is associated with cardiovascular risk estimation according to Framingham risk score in postmenopausal women. Menopause 23(9):950–956 CrossRef
12.
Zurück zum Zitat Yang L et al (2016) Longer sleep duration and midday napping are associated with a higher risk of chd incidence in middle-aged and older Chinese: the Dongfeng-Tongji Cohort Study. Sleep 39(3):645–652 CrossRef Yang L et al (2016) Longer sleep duration and midday napping are associated with a higher risk of chd incidence in middle-aged and older Chinese: the Dongfeng-Tongji Cohort Study. Sleep 39(3):645–652 CrossRef
13.
Zurück zum Zitat Blachier M et al (2012) Excessive daytime sleepiness and vascular events: the three city study. Ann Neurol 71(5):661–667 CrossRef Blachier M et al (2012) Excessive daytime sleepiness and vascular events: the three city study. Ann Neurol 71(5):661–667 CrossRef
14.
Zurück zum Zitat Stang A et al (2012) Midday naps and the risk of coronary artery disease: results of the Heinz Nixdorf Recall Study. Sleep 35(12):1705–1712 CrossRef Stang A et al (2012) Midday naps and the risk of coronary artery disease: results of the Heinz Nixdorf Recall Study. Sleep 35(12):1705–1712 CrossRef
15.
Zurück zum Zitat Trichopoulos D et al (1988) Siesta and risk of coronary heart disease. Stress medicine 4(3):143–148 CrossRef Trichopoulos D et al (1988) Siesta and risk of coronary heart disease. Stress medicine 4(3):143–148 CrossRef
16.
Zurück zum Zitat Gangwisch JE et al (2014) Daytime sleepiness and risk of coronary heart disease and stroke: results from the Nurses’ Health Study II. Sleep Med 15(7):782–788 CrossRef Gangwisch JE et al (2014) Daytime sleepiness and risk of coronary heart disease and stroke: results from the Nurses’ Health Study II. Sleep Med 15(7):782–788 CrossRef
17.
Zurück zum Zitat Page MJ et al (2021) The PRISMA 2020 statement: an updated guideline for reporting systematic reviews. BMJ 372:n71 CrossRef Page MJ et al (2021) The PRISMA 2020 statement: an updated guideline for reporting systematic reviews. BMJ 372:n71 CrossRef
18.
Zurück zum Zitat Yamada T et al (2016) J-curve relation between daytime nap duration and type 2 diabetes or metabolic syndrome: a dose-response meta-analysis. Sci Rep 6(1):1–10 CrossRef Yamada T et al (2016) J-curve relation between daytime nap duration and type 2 diabetes or metabolic syndrome: a dose-response meta-analysis. Sci Rep 6(1):1–10 CrossRef
19.
Zurück zum Zitat Jin X et al (2021) Association between daytime napping and stroke: A dose–response meta-analysis. J Sleep Res 30(5):e13366 CrossRef Jin X et al (2021) Association between daytime napping and stroke: A dose–response meta-analysis. J Sleep Res 30(5):e13366 CrossRef
20.
Zurück zum Zitat Wells G.A. et al. The Newcastle-Ottawa scale (NOS) for assessing the quality of nonrandomised studies in meta-analyses. 2000, Oxford. Wells G.A. et al. The Newcastle-Ottawa scale (NOS) for assessing the quality of nonrandomised studies in meta-analyses. 2000, Oxford.
21.
Zurück zum Zitat Moradi S et al (2019) Food insecurity and adult weight abnormality risk: a systematic review and meta-analysis. Eur J Nutr 58(1):45–61 CrossRef Moradi S et al (2019) Food insecurity and adult weight abnormality risk: a systematic review and meta-analysis. Eur J Nutr 58(1):45–61 CrossRef
22.
Zurück zum Zitat Symons M, Moore D (2002) Hazard rate ratio and prospective epidemiological studies. J Clin Epidemiol 55(9):893–899 CrossRef Symons M, Moore D (2002) Hazard rate ratio and prospective epidemiological studies. J Clin Epidemiol 55(9):893–899 CrossRef
23.
Zurück zum Zitat DerSimonian R, Laird N (1986) Meta-analysis in clinical trials. Control Clin Trials 7(3):177–188 CrossRef DerSimonian R, Laird N (1986) Meta-analysis in clinical trials. Control Clin Trials 7(3):177–188 CrossRef
24.
Zurück zum Zitat Begg, C.B. and M. Mazumdar. Operating characteristics of a rank correlation test for publication bias. Biometrics, 1994: p. 1088–1101. Begg, C.B. and M. Mazumdar. Operating characteristics of a rank correlation test for publication bias. Biometrics, 1994: p. 1088–1101.
25.
Zurück zum Zitat Egger M et al (1997) Bias in meta-analysis detected by a simple, graphical test. BMJ 315(7109):629–634 CrossRef Egger M et al (1997) Bias in meta-analysis detected by a simple, graphical test. BMJ 315(7109):629–634 CrossRef
26.
Zurück zum Zitat Greenland S, Longnecker MP (1992) Methods for trend estimation from summarized dose-response data, with applications to meta-analysis. Am J Epidemiol 135(11):1301–1309 CrossRef Greenland S, Longnecker MP (1992) Methods for trend estimation from summarized dose-response data, with applications to meta-analysis. Am J Epidemiol 135(11):1301–1309 CrossRef
27.
Zurück zum Zitat Orsini N, Bellocco R, Greenland S (2006) Generalized least squares for trend estimation of summarized dose–response data. Stand Genomic Sci 6(1):40–57 Orsini N, Bellocco R, Greenland S (2006) Generalized least squares for trend estimation of summarized dose–response data. Stand Genomic Sci 6(1):40–57
28.
Zurück zum Zitat Crippa A et al (2019) One-stage dose–response meta-analysis for aggregated data. Stat Methods Med Res 28(5):1579–1596 CrossRef Crippa A et al (2019) One-stage dose–response meta-analysis for aggregated data. Stat Methods Med Res 28(5):1579–1596 CrossRef
29.
Zurück zum Zitat Fan M et al (2020) Sleep patterns, genetic susceptibility, and incident cardiovascular disease: A prospective study of 385 292 UK biobank participants. Eur Heart J 41(11):1182–1189 CrossRef Fan M et al (2020) Sleep patterns, genetic susceptibility, and incident cardiovascular disease: A prospective study of 385 292 UK biobank participants. Eur Heart J 41(11):1182–1189 CrossRef
30.
Zurück zum Zitat Qureshi AI et al (1997) Habitual sleep patterns and risk for stroke and coronary heart disease: a 10-year follow-up from NHANES I. Neurology 48(4):904–911 CrossRef Qureshi AI et al (1997) Habitual sleep patterns and risk for stroke and coronary heart disease: a 10-year follow-up from NHANES I. Neurology 48(4):904–911 CrossRef
31.
Zurück zum Zitat Wang C et al (2017) Correlations between sleep patterns and cardiovascular diseases in a Chinese middle-aged population. Chronobiol Int 34(5):601–608 CrossRef Wang C et al (2017) Correlations between sleep patterns and cardiovascular diseases in a Chinese middle-aged population. Chronobiol Int 34(5):601–608 CrossRef
32.
Zurück zum Zitat Bhupathiraju SN, Tucker KL (2011) Coronary heart disease prevention: nutrients, foods, and dietary patterns. Clin Chim Acta 412(17–18):1493–1514 CrossRef Bhupathiraju SN, Tucker KL (2011) Coronary heart disease prevention: nutrients, foods, and dietary patterns. Clin Chim Acta 412(17–18):1493–1514 CrossRef
33.
Zurück zum Zitat Yamada T et al (2015) Daytime napping and the risk of cardiovascular disease and all-cause mortality: a prospective study and dose-response meta-analysis. Sleep 38(12):1945–1953 CrossRef Yamada T et al (2015) Daytime napping and the risk of cardiovascular disease and all-cause mortality: a prospective study and dose-response meta-analysis. Sleep 38(12):1945–1953 CrossRef
34.
Zurück zum Zitat Kuula L et al (2019) Using big data to explore worldwide trends in objective sleep in the transition to adulthood. Sleep Med 62:69–76 CrossRef Kuula L et al (2019) Using big data to explore worldwide trends in objective sleep in the transition to adulthood. Sleep Med 62:69–76 CrossRef
35.
Zurück zum Zitat Ong JL et al (2019) Large-scale data from wearables reveal regional disparities in sleep patterns that persist across age and sex. Sci Rep 9(1):1–8 CrossRef Ong JL et al (2019) Large-scale data from wearables reveal regional disparities in sleep patterns that persist across age and sex. Sci Rep 9(1):1–8 CrossRef
36.
Zurück zum Zitat Olds T et al (2010) The relationships between sex, age, geography and time in bed in adolescents: a meta-analysis of data from 23 countries. Sleep Med Rev 14(6):371–378 CrossRef Olds T et al (2010) The relationships between sex, age, geography and time in bed in adolescents: a meta-analysis of data from 23 countries. Sleep Med Rev 14(6):371–378 CrossRef
37.
Zurück zum Zitat Lo JC et al (2014) Young adults’ sleep duration on work days: differences between East and West. Front Neurol 5:81 CrossRef Lo JC et al (2014) Young adults’ sleep duration on work days: differences between East and West. Front Neurol 5:81 CrossRef
38.
Zurück zum Zitat Lee RW et al (2010) Differences in craniofacial structures and obesity in Caucasian and Chinese patients with obstructive sleep apnea. Sleep 33(8):1075–1080 CrossRef Lee RW et al (2010) Differences in craniofacial structures and obesity in Caucasian and Chinese patients with obstructive sleep apnea. Sleep 33(8):1075–1080 CrossRef
39.
Zurück zum Zitat Shahar E et al (2001) Sleep-disordered breathing and cardiovascular disease: cross-sectional results of the sleep heart health study. Am J Respir Crit Care Med 163(1):19–25 CrossRef Shahar E et al (2001) Sleep-disordered breathing and cardiovascular disease: cross-sectional results of the sleep heart health study. Am J Respir Crit Care Med 163(1):19–25 CrossRef
40.
Zurück zum Zitat Dewan NA, Nieto FJ, Somers VK (2015) Intermittent hypoxemia and OSA: implications for comorbidities. Chest 147(1):266–274 CrossRef Dewan NA, Nieto FJ, Somers VK (2015) Intermittent hypoxemia and OSA: implications for comorbidities. Chest 147(1):266–274 CrossRef
41.
Zurück zum Zitat Xu Q et al (2010) Day napping and short night sleeping are associated with higher risk of diabetes in older adults. Diabetes Care 33(1):78–83 CrossRef Xu Q et al (2010) Day napping and short night sleeping are associated with higher risk of diabetes in older adults. Diabetes Care 33(1):78–83 CrossRef
42.
Zurück zum Zitat Chen L. et al. Frequent daytime napping is detrimental to human health: a phenotype-wide mendelian randomization study. medRxiv, 2020. Chen L. et al. Frequent daytime napping is detrimental to human health: a phenotype-wide mendelian randomization study. medRxiv, 2020.
43.
Zurück zum Zitat Lin D et al (2014) Association between habitual daytime napping and metabolic syndrome: a population-based study. Metabolism 63(12):1520–1527 CrossRef Lin D et al (2014) Association between habitual daytime napping and metabolic syndrome: a population-based study. Metabolism 63(12):1520–1527 CrossRef
44.
Zurück zum Zitat Woods DL, Kim H, Yefimova M (2013) To nap or not to nap: excessive daytime napping is associated with elevated evening cortisol in nursing home residents with dementia. Biol Res Nurs 15(2):185–190 CrossRef Woods DL, Kim H, Yefimova M (2013) To nap or not to nap: excessive daytime napping is associated with elevated evening cortisol in nursing home residents with dementia. Biol Res Nurs 15(2):185–190 CrossRef
45.
Zurück zum Zitat Reaven G (2012) Insulin resistance and coronary heart disease in nondiabetic individuals. Arterioscler Thromb Vasc Biol 32(8):1754–1759 CrossRef Reaven G (2012) Insulin resistance and coronary heart disease in nondiabetic individuals. Arterioscler Thromb Vasc Biol 32(8):1754–1759 CrossRef
46.
Zurück zum Zitat Matteo Ciccone M. et al. Endothelial function in pre-diabetes, diabetes and diabetic cardiomyopathy: a review. Diabetes & Metabolism, 2014. Matteo Ciccone M. et al. Endothelial function in pre-diabetes, diabetes and diabetic cardiomyopathy: a review. Diabetes & Metabolism, 2014.
47.
Zurück zum Zitat Malpas SC, Maling TJ (1990) Heart-rate variability and cardiac autonomic function in diabetes. Diabetes 39(10):1177–1181 CrossRef Malpas SC, Maling TJ (1990) Heart-rate variability and cardiac autonomic function in diabetes. Diabetes 39(10):1177–1181 CrossRef
48.
Zurück zum Zitat Jakubowski KP et al (2017) Poor sleep moderates the relationship between daytime napping and inflammation in Black and White men. Sleep Health 3(5):328–335 CrossRef Jakubowski KP et al (2017) Poor sleep moderates the relationship between daytime napping and inflammation in Black and White men. Sleep Health 3(5):328–335 CrossRef
49.
Zurück zum Zitat Leng Y et al (2014) Daytime napping, sleep duration and serum C reactive protein: a population-based cohort study. BMJ Open 4(11):e006071 CrossRef Leng Y et al (2014) Daytime napping, sleep duration and serum C reactive protein: a population-based cohort study. BMJ Open 4(11):e006071 CrossRef
50.
Zurück zum Zitat Basta M et al (2020) Objective daytime napping is associated with disease severity and inflammation in patients with mild to moderate dementia. J Alzheimers Dis 74(3):803–815 CrossRef Basta M et al (2020) Objective daytime napping is associated with disease severity and inflammation in patients with mild to moderate dementia. J Alzheimers Dis 74(3):803–815 CrossRef
51.
Zurück zum Zitat Carney RM, Freedland KE (2017) Depression and coronary heart disease. Nat Rev Cardiol 14(3):145–155 CrossRef Carney RM, Freedland KE (2017) Depression and coronary heart disease. Nat Rev Cardiol 14(3):145–155 CrossRef
52.
Zurück zum Zitat Vaccarino V et al (2020) Depression and coronary heart disease: 2018 position paper of the ESC working group on coronary pathophysiology and microcirculation. Eur Heart J 41(17):1687–1696 CrossRef Vaccarino V et al (2020) Depression and coronary heart disease: 2018 position paper of the ESC working group on coronary pathophysiology and microcirculation. Eur Heart J 41(17):1687–1696 CrossRef
53.
Zurück zum Zitat Hale L et al (2013) Fibrinogen may mediate the association between long sleep duration and coronary heart disease. J Sleep Res 22(3):305–314 CrossRef Hale L et al (2013) Fibrinogen may mediate the association between long sleep duration and coronary heart disease. J Sleep Res 22(3):305–314 CrossRef
54.
Zurück zum Zitat Kakizaki M et al (2013) Long sleep duration and cause-specific mortality according to physical function and self-rated health: the O hsaki C ohort S tudy. J Sleep Res 22(2):209–216 CrossRef Kakizaki M et al (2013) Long sleep duration and cause-specific mortality according to physical function and self-rated health: the O hsaki C ohort S tudy. J Sleep Res 22(2):209–216 CrossRef
55.
Zurück zum Zitat Stranges S et al (2008) Correlates of short and long sleep duration: a cross-cultural comparison between the United Kingdom and the United States: the Whitehall II Study and the Western New York Health Study. Am J Epidemiol 168(12):1353–1364 CrossRef Stranges S et al (2008) Correlates of short and long sleep duration: a cross-cultural comparison between the United Kingdom and the United States: the Whitehall II Study and the Western New York Health Study. Am J Epidemiol 168(12):1353–1364 CrossRef
56.
Zurück zum Zitat Wang D et al (2016) Sleep duration and risk of coronary heart disease: a systematic review and meta-analysis of prospective cohort studies. Int J Cardiol 219:231–239 CrossRef Wang D et al (2016) Sleep duration and risk of coronary heart disease: a systematic review and meta-analysis of prospective cohort studies. Int J Cardiol 219:231–239 CrossRef
57.
Zurück zum Zitat Jeon M, Dimitriou D, Halstead EJ (2021) A systematic review on cross-cultural comparative studies of sleep in young populations: the roles of cultural factors. Int J Environ Res Public Health 18(4):2005 CrossRef Jeon M, Dimitriou D, Halstead EJ (2021) A systematic review on cross-cultural comparative studies of sleep in young populations: the roles of cultural factors. Int J Environ Res Public Health 18(4):2005 CrossRef
58.
Zurück zum Zitat Cui N et al (2021) Associated factors of habitual midday napping among Chinese adolescents. Sleep Biol Rhythms 19(1):93–103 CrossRef Cui N et al (2021) Associated factors of habitual midday napping among Chinese adolescents. Sleep Biol Rhythms 19(1):93–103 CrossRef
Metadaten
Titel
Daytime napping and coronary heart disease risk in adults: a systematic review and dose–response meta-analysis
verfasst von
Nader Salari
Sajjad Moradi
Reza Bagheri
Sepide Talebi
Alexei Wong
Basir Babavaisi
Mohammad ali Hojjati Kermani
Niloofar Hemati
Publikationsdatum
08.12.2022
Verlag
Springer International Publishing
Erschienen in
Sleep and Breathing
Print ISSN: 1520-9512
Elektronische ISSN: 1522-1709
DOI
https://doi.org/10.1007/s11325-022-02759-z

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