Abstract
Objectives
To examine the associations between self‐reported nighttime sleep duration and daytime sleep and incident heart failure (HF) in men with and without preexisting cardiovascular disease (CVD).
Design
Population‐based prospective study.
Setting
General practices in 24 British towns.
Participants
Men aged 60–79 without prevalent HF followed for 9 years (N = 3,723).
Measurements
Information on incident HF cases was obtained from primary care records. Assessment of sleep was based on self‐reported sleep duration at night and daytime napping.
Results
Self‐reported short nighttime sleep duration and daytime sleep of longer than 1 hour were associated with preexisting CVD, breathlessness, depression, poor health, physical inactivity, and manual social class. In all men, self‐reported daytime sleep of longer than 1 hour duration was associated with significantly greater risk of HF after adjustment for potential confounders (adjusted hazard ratio (aHR) = 1.69, 95% CI = 1.06–2.71) than in those who reported no daytime napping. Self‐reported nighttime sleep duration was not associated with HF risk except in men with preexisting CVD (<6 hours: aHR = 2.91, 95% CI = 1.31–6.45; 6 hours: aHR = 1.89, 95% CI = 0.89–4.03; 8 hours: aHR = 1.29, 95% CI = 0.61–2.71; ≥9 hours: aHR = 1.80, 905% CI = 0.71–4.61 vs nighttime sleep of 7 hours). Snoring was not associated with HF risk.
Conclusion
Self‐reported daytime napping of longer than 1 hour is associated with greater risk of HF in older men. Self‐reported short sleep (<6 hours) in men with CVD is associated with particularly high risk of developing HF.
Keywords: sleep duration, daytime sleep, heart failure
Numerous prospective studies and meta‐analyses of observational studies have implicated sleep duration in the development of cardiovascular disease (CVD); short or long sleep duration or both have been associated with greater risk of CVD.1, 2, 3, 4 Complaints of sleep difficulty are common in elderly adults.5 Daytime sleepiness that leads to napping is common in elderly adults, reflecting changes in sleep efficiency, sleep quality, and circadian sleep–wake cycles.6 Daytime sleepiness or excessive daytime napping has been associated with CVD in middle‐aged and older populations.7, 8, 9, 10, 11, 12 Sleep disruptions are common in individuals with heart failure (HF), which may result in excessive sleepiness during the daytime,13 but prospective studies on the relationship between sleep duration and daytime napping and sleepiness and incident HF in people without HF are limited. Although three studies have shown daytime sleepiness or insomnia symptoms to be associated with greater HF risk,7, 14, 15 two other studies showed no association between sleep duration and HF risk.3, 16 Although previous research has suggested that impaired sleep may also affect prognosis after CVD,17, 18 the association between sleep duration and daytime sleep with risk of HF specifically in those with a history of CVD has been little studied. The current study examined the association between self‐reported sleep duration, daytime sleep, and risk of incident HF in a cohort study of older British men with and without preexisting CVD.
Subjects and Methods
The British Regional Heart Study is a prospective study of CVD involving 7,735 men aged 40–59 selected from the age and sex registers of one general practice in each of 24 British towns and screened between 1978 and 1980.19 In 1998–2000, all surviving men (N = 5,447), now aged 60–79, were invited for a 20‐year follow‐up examination; 4,252 (77% of survivors) attended. All relevant local research ethics committees provided ethical approval. All men provided informed written consent to the investigation, which was conducted in accordance with the Declaration of Helsinki. In 2003, a postal questionnaire was sent to all survivors, then aged 63–82, that asked for information on medical history, lifestyle changes, and sleep habits; 3,982 men responded (81% response rate). Of these, 259 with a history of a doctor diagnosis of HF were excluded, leaving 3,723 for analysis.
Cardiovascular Risk Factors and Morbidity
In the 2003 questionnaire, detailed questions were asked on smoking habits, physical activity, and body weight.20 Participants were classified into manual and nonmanual workers based on the longest‐held occupation of subjects at study entry using the Registrar General Social Class Classification. Body mass index (BMI) was calculated as body weight divided by height squared (kg/m2). Height was extrapolated from height measured during the physical examination in 1998–2000. Subjects were asked to report a doctor diagnosis of heart attack, stroke, heart failure, depression, high blood pressure, or high blood cholesterol and to report symptoms of breathlessness and treatment to lower blood pressure. They were also asked to describe their health status as excellent, good, fair, or poor.
Self‐Reported Sleep
In the 2003 questionnaire, self‐reported nighttime sleep duration and daytime sleep were determined based on answers to the questions: “On average how many hours sleep do you have each night?” and “On average how much sleep do you have during the daytime?” The men responded with duration of sleep in hours and minutes. They were also asked whether they snored (yes regularly, yes occasionally, no, don't know).
Follow‐Up
All men have been followed from initial examination (1978–1980) for cardiovascular morbidity 21 and all‐cause mortality, with near‐complete follow‐up (99%) of the cohort for morbidity and mortality. In the present analyses, all‐cause mortality and morbidity events are based on 9 years of follow‐up from 2003–2012. Mortality data was collected through the established “tagging” procedures that the National Health Service registers provide. Nonfatal myocardial infarction (MI) was diagnosed according to World Health Organization criteria. Evidence of nonfatal MI and HF was obtained according to ad hoc reports from general practitioners supplemented by biennial reviews of practice records (including hospital and clinic correspondence) to the end of the study period. Incident nonfatal HF was based on a confirmed doctor diagnosis of HF from primary care records and where possible verified using details of available clinical information from primary and secondary care records (including symptoms, signs, investigations, and treatment response) to ensure that the diagnosis was consistent with current recommendations on HF diagnosis.22 Incident HF included incident nonfatal HF and death from HF as the underlying cause (International Classification of Diseases, Ninth Revision, code 428).
Statistical Methods
Nighttime sleep duration was categorized into five groups (<6, 6, 7, 8, ≥9 hours; 7 hours was used as the reference group. Daytime napping was categorized into four groups (none, <1, 1, >1 hour). Cox proportional hazards models were used to assess hazard ratios (HRs) (relative risk), adjusting for factors known to be associated with HF risk, including smoking (never, ex, current), social class (manual, nonmanual), physical inactivity (yes, no), previous MI (yes, no), stroke (yes, no), diabetes mellitus (yes, no), use of antihypertensive treatment (yes, no), breathlessness (yes, no), BMI, and poor health (yes, no). To assess whether the association between duration of sleep and daytime sleep and incident HF may be due to the development of incident MI, incident CHD was adjusted for by fitting CHD as a time‐dependent covariate. Subsidiary analyses were performed stratified according to preexisting doctor‐diagnosed CVD (MI, stroke). All analyses were performed using SAS version 9.3 (SAS Institute, Inc., Cary, NC).
Results
During the follow‐up of 9 years, there were 199 incident HF cases (rate 7.3/1,000 person‐years) in the 3,723 men with no diagnosed HF. Mean±standard deviation reported nighttime sleep in the study was 7.0 ± 1.3 hours.
Baseline Characteristics According to Self‐Reported Sleep Variables
Men who reported 7–8 hours of sleep generally had the lowest prevalence of adverse risk factors. Men who reported short sleep duration (<6 hours) had by far the highest prevalence of poor health, preexisting CVD, breathlessness, and history of depression (Table 1). Those who reported long sleep duration (≥9 hours) also had high rates of preexisting CVD. Men who reported daytime napping of longer than 1 hour had the highest prevalence of adverse risk factors and ill health. These men were also more likely to report short sleep duration at night and regular snoring.
Table 1.
Characteristic | Self‐Reported Nighttime Sleep Duration, Hours | Self‐Reported Daytime Napping, Hours | |||||||||
---|---|---|---|---|---|---|---|---|---|---|---|
<6, n = 348 | 6, n = 767 | 7, n = 1,064 | 8, n = 1,188 | ≥9, n = 281 | P‐Value | 0, n = 1,889 | <1, n = 679 | 1, n = 869 | >1, n = 286 | P‐Value | |
Age, mean ± SD | 68.5 ± 5.5 | 68.3 ± 5.7 | 67.5 ± 5.2 | 68.1 ± 5.3 | 69.5 ± 5.5 | <.001 | 67.4 ± 5.2 | 68.4 ± 5.2 | 69.1 ± 5.3 | 69.4 ± 6.1 | <.001 |
Obese, n (%) | 45 (12.9) | 83 (10.8) | 103 (9.7) | 129 (10.9) | 26 (9.3) | .46 | 189 (10.0) | 61 (9.0) | 103 (11.9) | 41 (14.3) | .04 |
Smoker, n (%) | 33 (9.5) | 76 (9.9) | 93 (8.7) | 108 (9.1) | 33 (11.7) | .61 | 166 (8.8) | 35 (5.2) | 106 (12.2) | 45 (15.7) | <.001 |
Physically inactive, n (%) | 167 (48.0) | 280 (36.5) | 341 (32.1) | 360 (30.3) | 110 (39.1) | <.001 | 577 (30.6) | 180 (26.5) | 368 (42.4) | 152 (53.2) | <.001 |
Manual worker, n (%) | 214 (61.5) | 414 (54.0) | 488 (45.9) | 611 (51.4) | 156 (55.5) | <.001 | 1,054 (55.8) | 271 (39.9) | 436 (50.2) | 176 (61.5) | <.001 |
Heavy drinker, n (%) | 11 (3.2) | 20 (2.6) | 26 (2.4) | 26 (2.2) | 11 (3.9) | .51 | 48 (2.5) | 9 (1.3) | 28 (3.2) | 10 (3.5) | .08 |
Poor health, n (%) | 40 (11.5) | 26 (3.4) | 20 (1.9) | 23 (1.9) | 7 (2.5) | <.001 | 42 (2.2) | 6 (0.9) | 36 (4.1) | 35 (12.2) | <.001 |
Hypertension, n (%) | 147 (42.2) | 290 (37.8) | 375 (35.2) | 461 (38.8) | 117 (41.6) | .09 | 692 (36.6) | 248 (36.5) | 358 (41.2) | 116 (40.6) | .08 |
High cholesterol, n (%) | 72 (20.7) | 170 (22.2) | 216 (20.3) | 283 (23.8) | 55 (19.6) | .25 | 392 (20.8) | 174 (25.6) | 180 (20.7) | 64 (22.4) | .05 |
Treated hypertension, n (%) | 131 (37.6) | 263 (34.3) | 337 (31.7) | 440 (37.0) | 103 (36.7) | .06 | 615 (32.6) | 229 (33.7) | 335 (38.6) | 109 (38.1) | .01 |
Diabetes mellitus, n (%) | 35 (10.1) | 73 (9.5) | 95 (8.9) | 108 (9.1) | 33 (11.7) | .66 | 157 (8.3) | 67 (9.9) | 89 (10.2) | 40 (14.0) | .01 |
Preexisting cardiovascular disease, n (%) | 83 (23.9) | 130 (17.0) | 176 (16.5) | 188 (15.8) | 62 (22.1) | .002 | 297 (15.7) | 114 (16.8) | 177 (20.4) | 69 (24.1) | <.001 |
Breathlessness, n (%) | 106 (30.5) | 126 (16.4) | 103 (9.7) | 147 (12.4) | 44 (15.7) | <.001 | 213 (11.3) | 75 (11.1) | 168 (19.3) | 82 (28.7) | <.001 |
History of depression, n (%) | 41 (13.9) | 70 (10.1) | 67 (6.9) | 81 (7.5) | 27 (10.8) | <.001 | 132 (7.8) | 57 (9.0) | 66 (8.4) | 39 (15.9) | <.001 |
Snore regularly, n (%) | 87 (25.7) | 144 (19.0) | 210 (19.9) | 228 (19.5) | 39 (14.1) | .01 | 323 (17.8) | 134 (19.9) | 187 (21.7) | 73 (26.1) | <.001 |
Nap at least 1 hr/day, n (%) | 153 (44.0) | 276 (36.0) | 293 (27.5) | 331 (27.9) | 95 (33.8) | <.001 | |||||
Average number of night time sleep, mean ± SD | 7.1 ± 1.2 | 7.1 ± 1.1 | 7.0 ± 1.3 | 6.7 ± 1.7 | <.001 | ||||||
<6 hours sleep, n (%) | 147 (7.8) | 48 (7.1) | 97 (11.2) | 56 (19.6) | <.001 |
Data on nighttime sleep duration were not available for 75 men.
SD = standard deviation.
Self‐Reported Sleep Duration, Daytime Sleep, and Incident HF
Only self‐reported short nighttime sleep was associated with greater risk of HF, although this was largely due to adverse characteristics associated with short sleep because adjustment for age, social class, BMI, smoking, diabetes mellitus, physical activity, treated hypertension, breathlessness, preexisting CVD, and poor health attenuated the association (Table 2). Self‐reported daytime napping of longer than 1 hour was associated with significantly greater risk of HF that remained even after adjustment for the above potential confounders. When stratified according to preexisting CVD status, no association was found between sleep duration and HF risk in those with no history of CVD (Table 3), although in men with preexisting CVD, a significant U‐shaped association was observed, with short and long sleep associated with greater HF risk even after adjustment for potential confounders (quadratic trend P = .03). Daytime napping of longer than 1 hour was associated with greater risk of HF particularly in men without CVD. This persisted even after taking into account incident CHD. Self‐reported regular snoring was not associated with risk of HF in either group.
Table 2.
Factor | n | Rate/1,000 Person‐Years (n) | Hazard Ratio (95% Confidence Interval) | |
---|---|---|---|---|
Age Adjusted | Adjusteda | |||
Self‐reported nighttime sleep duration, hours | ||||
<6 | 348 | 9.7 (25) | 1.53 (0.95–2.45) | 1.26 (0.77–2.05) |
6 | 767 | 7.4 (45) | 1.16 (0.78–1.72) | 1.09 (0.73–1.63) |
7 | 1,064 | 6.1 (53) | 1.00 | 1.00 |
8 | 1,188 | 5.8 (55) | 0.92 (0.63–1.34) | 0.89 (0.61–1.29) |
≥9 | 281 | 8.1 (17) | 1.19 (0.69–2.06) | 1.07 (0.62–1.86) |
Self‐reported daytime napping, hours | ||||
0 | 1,889 | 5.7 (88) | 1.00 | 1.00 |
<1 | 679 | 5.9 (33) | 0.94 (0.63–1.41) | 0.95 (0.63–1.42) |
1 | 869 | 8.3 (55) | 1.30 (0.93–1.83) | 1.18 (0.84–1.66) |
>1 | 286 | 12.4 (23) | 1.99 (1.25–3.15) | 1.69 (1.06–2.71) |
Self‐reported snoring | ||||
No | 462 | 8.0 (28) | 1.00 | 1.00 |
Occasionally | 1,868 | 5.8 (88) | 0.75 (0.55–1.02) | 0.76 (0.55–1.04) |
Regularly | 717 | 6.3 (37) | 0.89 (0.60–1.33) | 0.82 (0.55–1.23) |
Data on nighttime sleep duration were not available in 75 men. Data on snoring were not available in 90 men, who were excluded from the analysis on snoring.
Adjusted for age, type of work, body mass index, smoking, diabetes mellitus, physical activity, treated hypertension, breathlessness, preexisting myocardial infarction, stroke, poor health.
Table 3.
Factor | Rate/1,000 Person‐Years (n) | Hazard Ratio (95% Confidence Interval) | |
---|---|---|---|
Age Adjusted | Adjusteda | ||
No preexisting CVD (n = 3,066) | |||
Self‐reported nighttime sleep duration, hours | |||
<6 (n = 265) | 5.9 (12) | 1.00 (0.53–1.91) | 0.77 (0.40–1.51) |
6 (n = 637) | 5.6 (29) | 0.97 (0.60–1.56) | 0.86 (0.53–1.40) |
7 (n = 888) | 5.5 (41) | 1.00 | 1.00 |
8 (n = 1,000) | 4.7 (38) | 0.82 (0.53–1.27) | 0.77 (0.49–1.19) |
≥9 (n = 219) | 5.9 (10) | 0.94 (0.47–1.88) | 0.85 (0.42–1.70) |
Self‐reported daytime napping, hours | |||
0 (n = 1592) | 4.5 (59) | 1.00 | 1.00 |
<1 (n = 565) | 3.8 (18) | 0.79 (0.47–1.34) | 0.79 (0.45–1.35) |
1 (n = 692) | 7.2 (39) | 1.46 (0.97–2.20) | 1.31 (0.87–1.98) |
>1 (n = 217) | 10.8 (16) | 2.22 (1.28–3.86) | 1.79 (1.01–3.17) |
Preexisting CVD (n = 657) | |||
Self‐reported nighttime sleep duration, hours | |||
<6 (n = 83) | 23.9 (13) | 2.76 (1.26–6.06) | 2.91 (1.31–6.45) |
6 (n = 130) | 17.2 (16) | 1.82 (0.86–3.85) | 1.89 (0.89–4.03) |
7 (n = 176) | 9.4 (12) | 1.00 | 1.00 |
8 (n = 188) | 12.6 (17) | 1.29 (0.63–2.71) | 1.29 (0.61–2.71) |
≥9 (n = 62) | 17.7 (7) | 1.87 (0.74–4.76) | 1.80 (0.71–4.61) |
Self‐reported daytime napping, hours | |||
0 (n = 297) | 13.5 (29) | 1.00 | 1.00 |
<1 (n = 114) | 17.3 (15) | 1.16 (0.62–2.17) | 1.16 (0.61–2.20) |
1 (n = 177) | 13.3 (16) | 0.90 (0.49–1.66) | 0.88 (0.47–1.64) |
>1 (n = 69) | 19.0 (7) | 1.40 (0.61–3.20) | 1.35 (0.58–3.10) |
Data on nighttime sleep duration were not available in 75 men.
Adjusted for age, social class, body mass index, smoking, physical activity, diabetes mellitus, treated hypertension, breathlessness, and poor health.
The association between self‐reported daytime napping and HF risk was largely seen in obese men (BMI ≥30.0 kg/m2) (adjusted HR (aHR) = 4.27, 95 CI = 1.58–11.59). No association was found in nonobese men (aHR = 1.27, 95% CI = 0.73–2.22; P = .008).
Discussion
In this study of older British men, only reported excessive daytime sleeping (>1 hour), which was prevalent in 7% of the men, was associated with significantly greater risk of HF than not napping; this was seen particularly in men without preexisting CVD and in obese men. Self‐reported nighttime sleep duration was associated with HF only in men with preexisting CVD. There was no association between self‐reported habitual snoring and HF, which is consistent with findings of other studies.7, 18 The findings of the current study support and extend the findings of previous studies that have implicated daytime sleepiness7 and sleep disturbance in HF.14, 15
Self‐Reported Nighttime Sleep Duration and HF
No association was found between self‐reported nighttime sleep duration and HF in the overall population, which is consistent with findings from two other large studies of men and women,3, 16 although in men with CVD, a U‐shaped relationship was seen, with short sleep in particular and to a lesser extent long nighttime sleep related to greater HF risk. No association was seen in the larger group of men without CVD. Obstructive sleep apnea (OSA), which is common in individuals with CVD, is a major cause of sleep disturbance and short sleep23 and has been linked to incident HF.24 The higher risk of HF associated with short sleep in men with preexisting CVD may reflect the high rates of OSA. Short sleep duration after MI may also be a consequence of more‐severe underlying cardiac dysfunction leading to hypoxia and greater risk of HF. Long nighttime sleep duration in men with preexisting CVD may be a consequence of the coexistence of a number of comorbidities such as chronic kidney disease and stroke, which puts these men at higher risk of HF, or it may reflect depression, which has been linked to HF risk.25
Self‐Reported Daytime Sleep and HF
Self‐reported daytime sleep of longer than 1 hour was associated with shorter nighttime sleep, obesity, depression, breathlessness, prevalent CVD, and overall ill health, although the association between self‐reported daytime sleep and HF was seen particularly in those with no CVD and after adjustment for these factors. These findings are consistent with those reported in the Cardiovascular Health Study, which found daytime sleepiness to be associated with HF.7 In contrast, in a Japanese cohort study, daytime napping (yes, no) was not associated with HF after adjustment for confounders, although duration of daytime napping was not examined.8
The association between daytime sleep and HF could reflect insufficient sleep or disturbed sleep,6 which have been associated with HF risk,14, 15 although short nighttime sleep duration, which is a characteristic of insomnia, was not associated with HF in men without CVD, in whom daytime napping was more strongly associated with HF risk. The Cardiovascular Health Study found daytime sleepiness but not actual sleep disturbance to be associated with HF.7 Another possible explanation for the relationship between daytime sleep and HF may be OSA, which is commonly associated with snoring and daytime sleepiness.23 Obesity is a major correlate of OSA, and the finding that daytime sleep was associated with HF only in obese men is consistent with this explanation.
Strengths and Limitations
The strengths of the study include a study population socially representative of the United Kingdom and the exceptionally high follow‐up rates in the British Regional Heart Study. There are several limitations of this study. It is based on a cohort of older (60–79) men, and the results need further confirmation in women and other older and middle‐aged populations. The findings are based on self‐reported sleep patterns measured at one point only, and the possibility cannot be excluded that nighttime sleep duration and time spent daytime napping may have been misclassified, raising the possibility that the strength of the associations between sleep duration, napping, and HF have been underestimated. It is not known whether the daytime napping was voluntary, but self‐reported daytime napping of longer than 1 hour per day has been shown to be associated with markedly greater mortality.26 Information was not available on time spent in bed, but the average self‐reported nighttime sleep of 7 hours in this study is comparable with the findings of another UK population study of older adults that reported 6.9 hours average sleep.27 Nighttime sleep duration was based on average duration of nighttime sleep; no measures of nighttime sleep interruptions or information on sleep apnea and insomnia, which could affect sleep duration and influence HF risk, were available. The current findings are based on doctor‐diagnosed HF, which is likely to underestimate the true incidence of HF in this study population, although the determinants of this HF outcome in this study population (including obesity, N‐terminal of the prohormone brain natriuretic peptide, social class)28, 29, 30 generally accord with prior data and suggest that the HF outcome used was valid.
Conclusion
Self‐reported daytime sleep of longer than 1 hour is associated with significantly greater risk of HF in older men. These findings point to the need for healthcare providers to discuss daytime sleep patterns with older adults. In men with CVD, self‐reported short nighttime sleep in particular is associated with greater risk of developing HF. Evaluation of sleep disturbances in older men with CVD may identify treatable conditions such as sleep apnea, cardiac dysfunction, or depression, which have potential implications for HF prevention.
Acknowledgments
Conflict of Interest: The editor in chief has reviewed the conflict of interest checklist provided by the authors and has determined that the authors have no financial or any other kind of personal conflicts with this paper.
The British Regional Heart Study is a Research Group supported by British Heart Foundation Programme Grant RG/13/16/30528.
Author Contributions: Wannamethee: study concept and design, data analysis, drafting the manuscript. Whincup: interpretation of data. Papacosta: data analysis. Lennon, Whincup: acquisition of data. All authors: critical revision for important intellectual content, approval of final version of manuscript.
Sponsor's Role: The funders had no role in the design or conduct of the study; collection, analysis, or interpretation of the data; or preparation, review, or approval of the manuscript.
J Am Geriatr Soc 64:1845‐1850, 2016.
References
- 1. Jackson CL, Redline S, Emmons KM. Sleep as a potential fundamental contributor to disparities in cardiovascular health. Annu Rev Public Health 2015;36:417–440. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 2. Cappuccio FP, Cooper D, D'Elia L et al. Sleep duration predicts cardiovascular outcomes: A systematic review and meta‐analysis of prospective studies. Eur Heart J 2011;32:1484–1492. [DOI] [PubMed] [Google Scholar]
- 3. Kim Y, Wilkens LR, Schembre SM et al. Insufficient and excessive amounts of sleep increase the risk of premature death from cardiovascular and other diseases: The Multiethnic Cohort Study. Prev Med 2013;57:377–385. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4. Ikehara S, Iso H, Date C et al. Association of sleep duration with mortality from cardiovascular disease and other causes for Japanese men and women: The JACC Study. Sleep 2009;32:295–301. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5. Foley DJ, Monjan AA, Brown SL et al. Sleep complaints among elderly persons: An epidemiologic study of three communities. Sleep 1995;18:425–432. [DOI] [PubMed] [Google Scholar]
- 6. Ancoli‐Israel S, Martin JL. Insomnia and daytime napping in older adults. J Clin Sleep Med 2006;2:333–342. [PubMed] [Google Scholar]
- 7. Newman AB, Spiekerman CF, Enright P et al. Daytime sleepiness predicts mortality and cardiovascular disease in older adults. The Cardiovascular Health Study Research Group. J Am Geriatr Soc 2000;48:115–123. [DOI] [PubMed] [Google Scholar]
- 8. Tanabe N, Iso H, Seki N et al.; JACC Study Group . Daytime napping and mortality, with a special reference to cardiovascular disease: The JACC Study. Int J Epidemiol 2010;39:233–243. [DOI] [PubMed] [Google Scholar]
- 9. Stang A, Dragano N, Moebus S et al.; Heinz Nixdorf Recall Investigative Group . Midday naps and the risk of coronary artery disease: Results of the Heinz Nixdorf Recall Study. Sleep 2012;35:1705–1712. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10. Blachier M, Dauvilliers Y, Jaussent I et al. Excessive daytime sleepiness and vascular events: The Three City Study. Ann Neurol 2012;71:661–667. [DOI] [PubMed] [Google Scholar]
- 11. Jaussent I, Empana JP, Ancelin ML et al. Insomnia, daytime sleepiness and cardio‐cerebrovascular diseases in the elderly: A 6‐year prospective study. PLoS ONE 2013;8:e56048. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12. Endeshaw Y, Rice TB, Schwartz AV et al.; Health ABC Study . Snoring, daytime sleepiness, and incident cardiovascular disease in the Health, Aging, and Body Composition Study. Sleep 2013;36:1737–1745. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13. Zuurbier LA, Luik AI, Leening MJ et al. Associations of heart failure with sleep quality: The Rotterdam Study. J Clin Sleep Med 2015;11:117–121. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14. Laugsand LE, Strand LB, Platou C et al. Insomnia and the risk of incident heart failure: A population study. Eur Heart J 2014;35:1382–1393. [DOI] [PubMed] [Google Scholar]
- 15. Ingelsson E, Lind L, Arnlöv J et al. Sleep disturbances independently predict heart failure in overweight middle‐aged men. Eur J Heart Fail 2007;9:184–190. [DOI] [PubMed] [Google Scholar]
- 16. Westerlund A, Bellocco R, Sundström J et al. Sleep characteristics and cardiovascular events in a large Swedish cohort. Eur J Epidemiol 2013;28:463–473. [DOI] [PubMed] [Google Scholar]
- 17. Clark A, Lange T, Hallqvist J et al. Sleep impairment and prognosis of acute myocardial infarction: A prospective cohort study. Sleep 2014;37:851–858. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18. Janszky I, Ljung R, Rohani M et al. Heavy snoring is a risk factor for case fatality and poor short‐term prognosis after a first acute myocardial infarction. Sleep 2008;31:801–807. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19. Shaper AG, Pocock SJ, Shaper AG et al. British Regional Heart Study: Cardiovascular risk factors in middle‐aged men in 24 towns. BMJ 1981;283:179–186. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20. Wannamethee SG, Lowe GDO, Whincup PH et al. Physical activity and hemostatic and inflammatory variables in elderly men. Circulation 2002;105:1785–1790. [DOI] [PubMed] [Google Scholar]
- 21. Lennon LT, Ramsay SE, Papacosta O et al. Cohort profile update: The British Regional Heart Study 1978–2014: 35 years follow‐up of cardiovascular disease and ageing. Int J Epidemiol 2015;44:826g–826g. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22. McMurray JJ, Adamopoulos S, Anker SD et al.; ESC Committee for Practice Guidelines . ESC Guidelines for the diagnosis and treatment of acute and chronic heart failure 2012: The Task Force for the Diagnosis and Treatment of Acute and Chronic Heart Failure 2012 of the European Society of Cardiology. Developed in collaboration with the Heart Failure Association (HFA) of the ESC. Eur Heart J 2012;33:1787–1847. [DOI] [PubMed] [Google Scholar]
- 23. Wolk R, Kara T, Somers VK. Sleep‐disordered breathing and cardiovascular disease. Circulation 2003;108:9–12. Review. [DOI] [PubMed] [Google Scholar]
- 24. Gottlieb DJ, Yenokyan G, Newman AB et al. Prospective study of obstructive sleep apnea and incident coronary heart disease and heart failure: The Sleep Heart Health Study. Circulation 2010;122:352–360. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25. Cené CW, Loehr L, Lin FC et al. Social isolation, vital exhaustion, and incident heart failure: Findings from the Atherosclerosis Risk in Communities Study. Eur J Heart Fail 2012;14:748–753. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26. Leng Y, Wainwright NW, Cappuccio FP et al. Daytime napping and the risk of all‐cause and cause‐specific mortality: A 13‐year follow‐up of a British population. Am J Epidemiol 2014;179:1115–1124. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27. Leng Y, Ahmadi‐Abhari S, Wainwright NWJ et al. Daytime napping, sleep duration and serum C reactive protein: A population‐based cohort study. BMJ Open 2014;4:e006071. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28. Wannamethee SG, Welsh P, Whincup P et al. N‐terminal pro brain natriuretic peptide but not copeptin improves prediction of heart failure over other routine clinical risk parameters in older men with and without cardiovascular disease: Population‐based study. Eur J Heart Fail 2014;16:25–32. [DOI] [PubMed] [Google Scholar]
- 29. Wannamethee SG, Shaper AG, Whincup PH et al. Obesity and risk of incident heart failure in older men with and without pre‐existing coronary heart disease: Does leptin have a role? J Am Coll Cardiol 2011;58:1870–1877. [DOI] [PubMed] [Google Scholar]
- 30. Ramsay SE, Whincup PH, Papacosta O et al. Inequalities in heart failure in older men: Prospective associations between socioeconomic measures and heart failure incidence in a 10‐year follow‐up study. Eur Heart J 2014;35:442–447. [DOI] [PubMed] [Google Scholar]