Table 2.
Significant Elevation in Mortality Risk Reporteda | |||||||||
---|---|---|---|---|---|---|---|---|---|
| |||||||||
Cohort Name (Country) | Age Range (Years) |
Follow-Up (Years) |
Cohort Size (N) |
Percent Male |
Findings for Specific Sleep Categoriesb |
Short Sleep Effect Only |
Long Sleep Effect Only |
Short and Long Sleep Effect (U- Shaped) |
No Sleep Effect |
Survey Sleep Measure: Nighttime Sleep | |||||||||
American Cancer Society (USA) [5] |
30-95+ | 6 | 823,065 | 44% | <4, 4, 5, 6, 7, 8, 9, ≥10 |
Malesc Femalesc |
|||
Cancer Prevention Study II (USA) [3] |
30-102 | 6 | 1,116,936 | 43% | 3f, 4mf, 5mf, 6mf8mf, 9mf, ≥10mf | Malesc Femalesc |
|||
Dalarna County postal survey (Sweden) [8] |
45-65 | 12 | 1,870 | 48% | <6, 6-8, >8m | Males | Females | ||
Elderly cohort (USA) [10] | 65-98 | 3.5 | 1,855 | 34% | <5, 5, 6, 7, 8, ≥9 | Males Females |
|||
FINRISK Surveys (Finland) [11] |
25-64 | 35 | 23,290 | 49% | ≤5mf, 6f, 7-8, 9f, ≥10mf | Males Females |
|||
Japan Collaborative Cohort Study for Evaluation of Cancer (Japan) [21] |
40-79 | Median=14.3 | 98,634 | 42% | ≤4mf, 5, 6, 7, 8f, 9mf, ≥10mf |
Males Females |
|||
Massachusetts Health Care Panel Study (USA) [24] |
66-98 | 5 | 1,235 | 38% | 1-6 or ≥9h vs. 7-8 | Males Females |
|||
Miyagi Prefecture survey (Japan) [25] |
≥40 | 4 | 4,318 | 40% | 7-8 vs. ≤6 or ≥9 | Combined sexes |
|||
National Health and Nutrition Examination Survey I (USA) [26] |
32-86 | 8-10 | 9,789 | 37% | ≤5, 6, 7, 8*, ≥9* | Combined sexes |
|||
Rancho Bernardo Study (USA) [98] |
60-96 | 19 | 2,001 | 44% | <6, 6, 7, 8, ≥9f | Females | Males | ||
Whitehall II Cohort (UK) [35] | 35-55 | Mean=17.1 | 10,308 | 67% | ≤5, 6, 7, 8, ≥9 | Combined sexes |
|||
Survey Sleep Measure: 24-Hour Sleep | |||||||||
Chinese Longitudinal Healthy Longevity Survey (CLHLS) (China) [97] |
65-100+ | 3 | 12,671 | 43% | ≤5m, 6, 7, 8, 9, ≥10m |
Males | Females | ||
Finnish Twin Cohort (Finland) [1] |
24-101 | 21 | 21,268 | 48% | <7mf, 7-8, >8mf | Males Females |
|||
Health Interview Study of Barcelona (HISB) (Spain) [14] |
≥65 | 5 | 1,219 | 38% | <7, 7-9, >9 | Males Females |
|||
National Health Interview Survey (NHIS) (USA) [115] |
≥18 | 16 | 38,891 | ≤6, 7-8, ≥9 | Combined sexes | ||||
Nurses’ Health Study (USA) [29] |
40-65 | 14 | 82,969 | 0% | ≤5, 6, 7, 8f, ≥9f | Females | |||
Ohsaki Cohort Study (Japan) [116] |
40-79 | Mean=10.8 | 49,256 | 48% | ≤6, 7, 8*, 9*, ≥10* |
Combined sexes |
|||
Scottish working cohort (Scotland) [30] |
<60 females; <65 for males |
25 | 6,797 | 86% | <7, 7-8, >8 | Males Females |
|||
Shizuoka Study (Japan) [31] | 65-85 | 6 | 11,395 | 51% | ≤5, 6, 7, 8m, 9m, ≥10mf |
Males Females |
|||
Spanish cohort (Spain) [32] | ≥60 | Mean=6.8 | 3,820 | 44% | ≤6f, 7, 8m, 9m, ≥10mf |
Males | Females | ||
Study of Osteoporotic Fractures (USA) [33] |
≥69 | Mean=6.9 | 8,101 | 0% | <6, 6-7, 8, 9f, ≥10f | Females | |||
Survey Sleep Measure: Bedtime and Waking Time | |||||||||
Bambui Health and Ageing Study (Brazil) [6] |
≥60 | 23 | 1,512 | 39% | <6, 6, 7, 8, ≥9* | Combined sexes |
|||
Cross-Sectional and Longitudinal Aging Study (Israel) [99] |
75-94 | 20 | 1,166 | 55% | <7, 7-9, >9* | Combined sexes |
|||
Department of Health and Social Security Survey (UK) [9] |
≥65 | 10 | 862 | 51%d | <7, 8, 9, 10, 11, ≥12* |
Combined sexes |
|||
Gifu Prefecture cohort study (Japan) [12] |
20-67 | Mean=11.9 | 5,322 | 46% | <7m, 7-8, 9, ≥10 | Males | Females | ||
Jichi Medical School Cohort Study (Japan) [22] |
19-93 | Mean=8.2 | 11,325 | 39% | <6m; 6; 7; 8; ≥9 | Males | Females | ||
Kiryat Yovel Community Health Study (Israel) [23] |
≥50 | 9-11 | 1,842 | 46% | <6, 6-8, >8 | Malese Femalese |
|||
Survey of Health and Living Status of the Elderly in Taiwan (Taiwan) [34] |
≥64 | 10 | 3,079 | 57% | <7, 7, 8f, 9f, ≥10mf | Males Females |
|||
Survey Sleep Measure: Not Clearly Specified | |||||||||
Chin-Shan Community Cardiovascular Cohort Study (Taiwan) [7] |
≥35 | Median=15.9 | 3,430 | 56% | ≤5; 6, 7, 8, ≥9mf | Combined sexes |
|||
Health and Lifestyle Survey (UK) [13] |
≥18 | 7 | 6,096 | 44% | <6, 6-8, ≥9 | Malesc | Females | ||
Human Population Laboratory (Alameda County study) (USA) [18] |
38-94 | 17 | 1,454 | NR | <7 or >8 vs. 7-8 | Combined sexesg |
|||
Nottingham Longitudinal Study of Activity and Ageing (UK) [28] |
≥65 | 5 | 1,042 | NR | <4, 4-9, ≥10 | Combined sexes |
|||
Polysomnography [36] and Wrist Actigraphy [4] | |||||||||
NIH-funded protocols (USA) [27] |
58.7-91.4 | Mean=12.8 | 184 | 46% | <6, ≥6 | Combined sexes |
|||
Penn State Cohort Study (USA) [36] |
≥20 | 14 (men); 10 (women) |
1,741 | 42% | <6, ≥6 | Males Females |
|||
Women’s Health Initiative Observational Study (USA) [4] | 50-81 | Mean=10.5 | 444 | 0% | <5f, 5-6.5, >6.5f | Females |
Results were considered statistically significant on the basis of either stated P-values (P < 0.05) or 95% confidence intervals. “Combined sexes” denotes studies adjusting for sex. “Males” and “Females” indicate sex-specific results.
Number in bold indicates the reference category;
indicate a statistically significant elevation in mortality risk associated with a particular sleep category among: males and females in a model adjusted for sex; males in sex-specific analyses; and females in sex-specific analyses, respectively.
Significance tests not reported for specific sleep categories; overall sleep effect inferred from text.
C Gale, University of Southampton, personal communication, 2012.
Burazeri et al. used the short sleeping category as the reference category and reported a significant difference for males between the longest sleepers (>8 hrs) and the shortest sleepers (<6 hrs). However, the confidence intervals for the effect estimates for the long and short sleepers relative to the average sleepers (6-8 hrs) all overlapped substantially, strongly suggesting that if the middle group had been the reference, no significant effect of either long or short sleep would have been found.
Kaplan et al. did observe a significant elevation in mortality risk for 50-59 year olds, but no significant increases in risk for those 38-49, 60-69, or 70+ years of age.
NR denotes not reported.