Neighborhood Light at Night and Noise Levels, and Long-Term Sleep Trajectories in the Southern Community Cohort Study
Abstract
:1. Introduction
2. Results
3. Discussion
4. Methods
4.1. Data and Study Population
4.2. Sleep Trajectories
4.3. Light and Noise Measurements
4.4. Covariates
4.5. Statistical Analysis
5. Conclusions
Supplementary Materials
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
References
- World Health Organization. WHO Technical Meeting on Sleep and Health. 2004. Available online: https://www.ilo.org/wcmsp5/groups/public/---ed_protect/---protrav/---safework/documents/publication/wcms_118388.pdf (accessed on 4 May 2023).
- Hirshkowitz, M.; Whiton, K.; Albert, S.M.; Alessi, C.; Bruni, O.; DonCarlos, L.; Hazen, N.; Herman, J.; Katz, E.S.; Kheirandish-Gozal, L.; et al. National Sleep Foundation’s Sleep Time Duration Recommendations: Methodology and Results Summary. Sleep Health 2015, 1, 40–43. [Google Scholar] [CrossRef] [PubMed]
- Watson, N.F.; Badr, M.S.; Belenky, G.; Bliwise, D.L.; Buxton, O.M.; Buysse, D.; Dinges, D.F.; Gangwisch, J.; Grandner, M.A.; Kushida, C.; et al. Joint Consensus Statement of the American Academy of Sleep Medicine and Sleep Research Society on the Recommended Amount of Sleep for a Healthy Adult: Methodology and Discussion. Sleep 2015, 38, 1161–1183. [Google Scholar] [CrossRef] [PubMed]
- Gallicchio, L.; Kalesan, B. Sleep Duration and Mortality: A Systematic Review and Meta-Analysis. J. Sleep Res. 2009, 18, 148–158. [Google Scholar] [CrossRef] [PubMed]
- Cappuccio, F.P.; D’Elia, L.; Strazzullo, P.; Miller, M.A. Sleep Duration and All-Cause Mortality: A Systematic Review and Meta-Analysis of Prospective Studies. Sleep 2010, 33, 585–592. [Google Scholar] [CrossRef] [PubMed]
- Medic, G.; Wille, M.; Hemels, M.E.H. Short- and Long-Term Health Consequences of Sleep Disruption. Nat. Sci. Sleep 2017, 9, 151. [Google Scholar] [CrossRef] [PubMed]
- Buxton, O.M.; Marcelli, E. Short and Long Sleep Are Positively Associated with Obesity, Diabetes, Hypertension, and Cardiovascular Disease among Adults in the United States. Soc. Sci. Med. 2010, 71, 1027–1036. [Google Scholar] [CrossRef] [PubMed]
- Kim, C.W.; Chang, Y.; Kang, J.G.; Ryu, S. Changes in Sleep Duration and Subsequent Risk of Hypertension in Healthy Adults. Sleep 2018, 41, zsy159. [Google Scholar] [CrossRef] [PubMed]
- Wang, Y.; Hou, W.; Siddiqi, S.M.; Sun, C.; Han, T.; Yang, J. Association of Sleep Trajectory in Adulthood with Risk of Hypertension and Its Related Risk Factors: The China Health and Nutrition Survey. J. Clin. Sleep Med. 2020, 16, 515–521. [Google Scholar] [CrossRef]
- Bakour, C.; Schwartz, S.; O’Rourke, K.; Wang, W.; Sappenfield, W.; Couluris, M.; Chen, H. Sleep Duration Trajectories and Systemic Inflammation in Young Adults: Results from the National Longitudinal Study of Adolescent to Adult Health (Add Health). Sleep 2017, 40, zsx156. [Google Scholar] [CrossRef]
- Ferrie, J.E.; Kivimäki, M.; Akbaraly, T.N.; Singh-Manoux, A.; Miller, M.A.; Gimeno, D.; Kumari, M.; Smith, G.D.; Shipley, M.J. Associations between Change in Sleep Duration and Inflammation: Findings on C-Reactive Protein and Interleukin 6 in the Whitehall II Study. Am. J. Epidemiol. 2013, 178, 956–961. [Google Scholar] [CrossRef]
- Wang, Y.H.; Wang, J.; Chen, S.H.; Li, J.Q.; Lu, Q.D.; Vitiello, M.V.; Wang, F.; Tang, X.D.; Shi, J.; Lu, L.; et al. Association of Longitudinal Patterns of Habitual Sleep Duration with Risk of Cardiovascular Events and All-Cause Mortality. JAMA Netw. Open 2020, 3, e205246. [Google Scholar] [CrossRef] [PubMed]
- Ferrie, J.E.; Shipley, M.J.; Cappuccio, F.P.; Brunner, E.; Miller, M.A.; Kumari, M.; Marmot, M.G. A Prospective Study of Change in Sleep Duration: Associations with Mortality in the Whitehall II Cohort. Sleep 2007, 30, 1659–1666. [Google Scholar] [CrossRef] [PubMed]
- Zhong, C.; Franklin, M.; Wiemels, J.; Chung, N.; Benbow, J.; Wang, S.S.; Lacey, J.V.; Longcore, T. 0383 Outdoor Artificial Light at Night, Sleep Duration, and Sleep Quality in the California Teachers Study Cohort. Sleep 2020, 43 (Suppl. S1), A147. [Google Scholar] [CrossRef]
- Ohayon, M.M.; Milesi, C. Artificial Outdoor Nighttime Lights Associate with Altered Sleep Behavior in the American General Population. Sleep 2016, 39, 1311–1320. [Google Scholar] [CrossRef] [PubMed]
- Xiao, Q.; Gee, G.; Jones, R.R.; Jia, P.; James, P.; Hale, L. Cross-Sectional Association between Outdoor Artificial Light at Night and Sleep Duration in Middle-to-Older Aged Adults: The NIH-AARP Diet and Health Study. Environ. Res. 2020, 180, 108823. [Google Scholar] [CrossRef]
- Halperin, D. Environmental Noise and Sleep Disturbances: A Threat to Health? Sleep Sci. 2014, 7, 209–212. [Google Scholar] [CrossRef] [PubMed]
- Aulsebrook, A.E.; Jones, T.M.; Mulder, R.A.; Lesku, J.A. Impacts of Artificial Light at Night on Sleep: A Review and Prospectus. J. Exp. Zool. Part A Ecol. Integr. Physiol. 2018, 329, 409–418. [Google Scholar] [CrossRef] [PubMed]
- Roenneberg, T.; Merrow, M. The Circadian Clock and Human Health. Curr. Biol. 2016, 26, R432–R443. [Google Scholar] [CrossRef] [PubMed]
- Lunn, R.M.; Blask, D.E.; Coogan, A.N.; Figueiro, M.G.; Gorman, M.R.; Hall, J.E.; Hansen, J.; Nelson, R.J.; Panda, S.; Smolensky, M.H.; et al. Health consequences of electric lighting practices in the modern world: A report on the National Toxicology Program’s workshop on shift work at night, artificial light at night, and circadian disruption. Sci. Total Environ. 2017, 607, 1073–1084. [Google Scholar] [CrossRef]
- Basner, M.; McGuire, S. WHO Environmental Noise Guidelines for the European Region: A Systematic Review on Environmental Noise and Effects on Sleep. Int. J. Environ. Res. Public Health 2018, 15, 519. [Google Scholar] [CrossRef]
- World Health Organization. Burden of Disease from Environmental Noise: Quantification of Healthy Life Years Lost in Europe; WHO Regional Office for Europe: Bonn, Germany, 2011; Available online: https://iris.who.int/bitstream/handle/10665/326424/9789289002295-eng.pdf?sequence=1 (accessed on 15 February 2024).
- Casey, J.A.; Morello-Frosch, R.; Mennitt, D.J.; Fristrup, K.; Ogburn, E.L.; James, P. Race/Ethnicity, Socioeconomic Status, Residential Segregation, and Spatial Variation in Noise Exposure in the Contiguous United States. Environ. Health Perspect. 2017, 125, 077017. [Google Scholar] [CrossRef] [PubMed]
- Nadybal, S.M.; Collins, T.W.; Grineski, S.E. Light Pollution Inequities in the Continental United States: A Distributive Environmental Justice Analysis. Environ. Res. 2020, 189, 109959. [Google Scholar] [CrossRef] [PubMed]
- Ding, R.; Ding, P.; Tian, L.; Kuang, X.; Huang, L.; Shi, H. Sleep duration trajectories and all-cause mortality among Chinese elderly: A community-based cohort study. BMC Public Health 2023, 23, 1095. [Google Scholar] [CrossRef] [PubMed]
- Hunter, J.C.; Hayden, K.M. The Association of Sleep with Neighborhood Physical and Social Environment. Public Health 2018, 162, 126–134. [Google Scholar] [CrossRef]
- Koo, Y.S.; Song, J.Y.; Joo, E.Y.; Lee, H.J.; Lee, E.; Lee, S.K.; Jung, K.Y. Outdoor Artificial Light at Night, Obesity, and Sleep Health: Cross-Sectional Analysis in the KoGES Study. Chronobiol. Int. 2016, 33, 301–314. [Google Scholar] [CrossRef]
- Wams, E.J.; Woelders, T.; Marring, I.; Van Rosmalen, L.; Beersma, D.G.M.; Gordijn, M.C.M.; Hut, R.A. Linking Light Exposure and Subsequent Sleep: A Field Polysomnography Study in Humans. Sleep 2017, 40, zsx165. [Google Scholar] [CrossRef]
- Obayashi, K.; Saeki, K.; Iwamoto, J.; Ikada, Y.; Kurumatani, N. Association between Light Exposure at Night and Nighttime Blood Pressure in the Elderly Independent of Nocturnal Urinary Melatonin Excretion. Chronobiol. Int. 2014, 31, 779–786. [Google Scholar] [CrossRef]
- Obayashi, K.; Yamagami, Y.; Kurumatani, N.; Saeki, K. Pre-Awake Light Exposure and Sleep Disturbances: Findings from the HEIJO-KYO Cohort. Sleep Med. 2019, 54, 121–125. [Google Scholar] [CrossRef]
- Miedema, H.M.E.; Vos, H. Associations between Self-Reported Sleep Disturbance and Environmental Noise Based on Reanalyses of Pooled Data from 24 Studies. Behav. Sleep Med. 2007, 5, 1–20. [Google Scholar] [CrossRef]
- Kawada, T. Noise and Health—Sleep Disturbance in Adults. J. Occup. Health 2011, 53, 413–416. [Google Scholar] [CrossRef]
- Evandt, J.; Oftedal, B.; Krog, N.H.; Nafstad, P.; Schwarze, P.E.; Aasvang, G.M. A Population-Based Study on Nighttime Road Traffic Noise and Insomnia. Sleep 2017, 40, zsw055. [Google Scholar] [CrossRef] [PubMed]
- Aasvang, G.M.; Smith, M. Team 5 Noise and Sleep-a Review of Research from 2017–2021; Karolinska Institutet: Stockholm, Sweden, 2021. [Google Scholar]
- Röösli, M.; Brink, M.; Rudzik, F.; Cajochen, C.; Ragettli, M.S.; Flückiger, B.; Pieren, R.; Vienneau, D.; Wunderli, J.M. Associations of Various Nighttime Noise Exposure Indicators with Objective Sleep Efficiency and Self-Reported Sleep Quality: A Field Study. Int. J. Environ. Res. Public Health 2019, 16, 3790. [Google Scholar] [CrossRef] [PubMed]
- Omlin, S.; Bauer, G.F.; Brink, M. Effects of Noise from Non-Traffic-Related Ambient Sources on Sleep: Review of the Literature of 1990–2010. Noise Health 2011, 13, 299–309. [Google Scholar] [CrossRef] [PubMed]
- Heslop, P.; Smith, G.D.; Metcalfe, C.; Macleod, J.; Hart, C. Sleep Duration and Mortality: The Effect of Short or Long Sleep Duration on Cardiovascular and All-Cause Mortality in Working Men and Women. Sleep Med. 2002, 3, 305–314. [Google Scholar] [CrossRef]
- Proctor, M.J.; McMillan, D.C.; Horgan, P.G.; Fletcher, C.D.; Talwar, D.; Morrison, D.S. Systemic Inflammation Predicts All-Cause Mortality: A Glasgow Inflammation Outcome Study. PLoS ONE 2015, 10, e0116206. [Google Scholar] [CrossRef] [PubMed]
- Kaptoge, S.; Di Angelantonio, E.; Lowe, G.; Pepys, M.B.; Thompson, S.G.; Collins, R.; Danesh, J.; Tipping, R.W.; Ford, C.E.; Pressel, S.L.; et al. C-Reactive Protein Concentration and Risk of Coronary Heart Disease, Stroke, and Mortality: An Individual Participant Meta-Analysis. Lancet 2010, 375, 132–140. [Google Scholar] [CrossRef]
- Ferrie, J.E.; Kivimaki, M.; Akbaraly, T.N.; Tabak, A.; Abell, J.; Smith, G.D.; Virtanen, M.; Kumari, M.; Shipley, M.J. Change in Sleep Duration and Type 2 Diabetes: The Whitehall II Study. Diabetes Care 2015, 38, 1467–1472. [Google Scholar] [CrossRef] [PubMed]
- Xiao, Q.; Lyu, Y.; Zhou, M.; Lu, J.; Zhang, K.; Wang, J.; Bauer, C. Artificial light at night and social vulnerability: An environmental justice analysis in the U.S. 2012–2019. Environ Int. 2023, 178, 108096. [Google Scholar] [CrossRef]
- Nyarko, S.H.; Luo, L.; Schlundt, D.G.; Xiao, Q. Cross-Sectional Association between Neighborhood Socioeconomic Status and Sleep Duration among Black and White Men and Women: The Southern Community Cohort Study. Sleep Health 2023, 9, 277–282. [Google Scholar] [CrossRef]
- Nyarko, S.H.; Luo, L.; Schlundt, D.G.; Xiao, Q. Individual and Neighborhood Socioeconomic Status and Long-Term Individual Trajectories of Sleep Duration among Black and White Adults: The Southern Community Cohort Study. Sleep 2023, 46, zsac225. [Google Scholar] [CrossRef]
- Saelee, R.; Haardörfer, R.; Johnson, D.A.; Gazmararian, J.A.; Suglia, S.F. Racial/Ethnic and Sex/Gender Differences in Sleep Duration Trajectories From Adolescence to Adulthood in a US National Sample. Am. J. Epidemiol. 2023, 192, 51–61. [Google Scholar] [CrossRef] [PubMed]
- Walsemann, K.M.; Ailshire, J.A.; Fisk, C.E.; Brown, L.L. Do Gender and Racial/Ethnic Disparities in Sleep Duration Emerge in Early Adulthood? Evidence from a Longitudinal Study of U.S. Adults. Sleep Med. 2017, 36, 133–140. [Google Scholar] [CrossRef] [PubMed]
- Zizi, F.; Pandey, A.; Murrray-Bachmann, R.; Vincent, M.; McFarlane, S.; Ogedegbe, G.; Jean-Louis, G. Race/Ethnicity, Sleep Duration, and Diabetes Mellitus: Analysis of the National Health Interview Survey (NHIS). Am. J. Med. 2012, 125, 162. [Google Scholar] [CrossRef] [PubMed]
- Knutson, K.L.; Van Cauter, E.; Rathouz, P.J.; Yan, L.L.; Hulley, S.B.; Liu, K.; Lauderdale, D.S. Association between Sleep and Blood Pressure in Midlife: The CARDIA Sleep Study. Arch. Intern. Med. 2009, 169, 1055–1061. [Google Scholar] [CrossRef] [PubMed]
- Rasmussen-Torvik, L.J.; De Chavez, P.J.D.; Kershaw, K.N.; Montag, S.E.; Knutson, K.L.; Kim, K.Y.A.; Zee, P.C.; Carnethon, M.R. The Mediation of Racial Differences in Hypertension by Sleep Characteristics: Chicago Area Sleep Study. Am. J. Hypertens. 2016, 29, 1353–1357. [Google Scholar] [CrossRef] [PubMed]
- Donat, M.; Brown, C.; Williams, N.; Pandey, A.; Racine, C.; McFarlane, S.I.; Jean-Louis, G. Linking Sleep Duration and Obesity among Black and White US Adults. Clin. Pract. 2013, 10, 661–667. [Google Scholar] [CrossRef] [PubMed]
- Curtis, D.S.; Fuller-Rowell, T.E.; El-Sheikh, M.; Carnethon, M.R.; Ryff, C.D. Habitual Sleep as a Contributor to Racial Differences in Cardiometabolic Risk. Proc. Natl. Acad. Sci. USA 2017, 114, 8889–8894. [Google Scholar] [CrossRef] [PubMed]
- Buysse, D.J. Sleep Health: Can We Define It? Does It Matter? Sleep 2014, 37, 9. [Google Scholar] [CrossRef]
- Signorello, L.B.; Hargreaves, M.K.; Blot, W.J. The Southern Community Cohort Study: Investigating Health Disparities. J. Health Care Poor Underserved 2010, 21 (Suppl. S1), 26–37. [Google Scholar] [CrossRef]
- Earth Observation Group. Version 4 DMSP-OLS Nighttime Lights Time Series. Available online: https://www.ngdc.noaa.gov/eog/dmsp/downloadV4composites.html (accessed on 31 March 2023).
- Hsu, F.-C.; Baugh, K.E.; Ghosh, T.; Zhizhin, M.; Elvidge, C.D. DMSP-OLS Radiance Calibrated Nighttime Lights Time Series with Intercalibration. Remote Sens. 2015, 7, 1855. [Google Scholar] [CrossRef]
- Mennitt, D.J.; Fristrup, K.M. Influence factors and spatiotemporal patterns of environmental sound levels in the contiguous United States. Noise Control Eng. J. 2016, 64, 342–353. [Google Scholar] [CrossRef]
- Messer, L.C.; Laraia, B.A.; Kaufman, J.S.; Eyster, J.; Holzman, C.; Culhane, J.; Elo, I.; Burke, J.G.; O’Campo, P. The Development of a Standardized Neighborhood Deprivation Index. J. Urban Health 2006, 83, 1041–1062. [Google Scholar] [CrossRef] [PubMed]
- R Core Team. R: A Language and Environment for Statistical Computing; R Foundation for Statistical Computing: Vienna, Austria, 2023; Available online: https://www/.R-project.org (accessed on 13 February 2024).
Characteristic | Normal–Normal | Short–Short | Long–Long | Short–Long | Long–Short | Normal–Short | Normal–Long | Short–Normal | Long–Normal |
---|---|---|---|---|---|---|---|---|---|
Black individuals | |||||||||
N (%) | 6951 (24.2) | 6095 (21.2) | 1377 (4.8) | 1519 (5.3) | 979 (3.4) | 3205 (11.1) | 2111 (7.3) | 4547 (15.8) | 1975 (6.9) |
Age, Mean (SD) | 53 (8.7) | 51 (7.9) | 52 (8.8) | 52 (8.3) | 51 (8.4) | 52 (8.6) | 53 (9.0) | 52 (8.2) | 52 (8.5) |
Female, % | 65.9 | 68.4 | 66.0 | 63.8 | 65.6 | 67.1 | 63.3 | 66.4 | 63.2 |
College/higher, % | 15.7 | 15.6 | 9.0 | 8.4 | 8.2 | 11.7 | 10.6 | 13.9 | 9.0 |
Household income, <USD 15,000, % | 49.4 | 49.8 | 63.0 | 62.7 | 64.7 | 55.3 | 58.7 | 51.0 | 59.3 |
Metro residence, % | 75.5 | 79.5 | 77.0 | 77.0 | 76.9 | 75.7 | 75.5 | 77.1 | 74.3 |
Neighborhood SES (lowest), % | 55.7 | 54.7 | 62.5 | 61.6 | 61.6 | 57.1 | 60.1 | 56.8 | 61.4 |
LAN, highest quintile, % | 19.7 | 20.5 | 22.3 | 22.1 | 24.5 | 21.8 | 20.0 | 19.8 | 22.8 |
LAN, median (IQR) | 172.9 (239.8) | 191.2 (228.6) | 197.6 (236.3) | 185.8 (245.0) | 198.7 (249.6) | 185.8 (243.3) | 191.2 (244.9) | 186.6 (227.6) | 191.7 (253.4) |
Noise, highest quintile, % | 19.5 | 21.2 | 22.9 | 20.9 | 25.0 | 22.0 | 20.8 | 20.1 | 21.6 |
Noise, median (IQR) | 45.1 (4.3) | 45.6 (4.2) | 45.7 (4.2) | 45.7 (4.2) | 46.0 (4.3) | 45.4 (4.4) | 45.5 (4.3) | 45.5 (4.2) | 45.5 (4.3) |
White individuals | |||||||||
N (%) | 5938 (36.5) | 3012 (18.5) | 751 (4.6) | 679 (4.2) | 187 (1.1) | 1282 (7.9) | 1303 (8.0) | 2400 (14.7) | 724 (4.4) |
Age, Mean (SD) | 56 (9.1) | 53 (8.5) | 56 (9.1) | 53 (8.9) | 52 (8.6) | 54 (9.2) | 56 (9.2) | 55 (8.8) | 55 (8.9) |
Female, % | 60.6 | 67.6 | 62.1 | 71.0 | 65.2 | 68.3 | 65.0 | 65.4 | 66.0 |
College/higher, % | 34.4 | 17.3 | 21.4 | 8.5 | 9.1 | 20.6 | 23.0 | 20.5 | 18.0 |
Household income, <USD 15,000, % | 26.8 | 46.9 | 46.8 | 61.4 | 58.5 | 40.3 | 43.7 | 40.7 | 48.5 |
Metro residence, % | 74.3 | 78.5 | 75.6 | 76.4 | 76.5 | 74.1 | 76.0 | 74.8 | 74.4 |
Neighborhood SES (lowest), % | 9.9 | 13.9 | 13.4 | 16.4 | 16.9 | 14.6 | 14.3 | 11.4 | 15.2 |
LAN, highest quintile, % | 6.9 | 9.4 | 10.4 | 9.6 | 13.4 | 9.1 | 11.1 | 7.4 | 10.9 |
LAN, median (IQR) | 62.3 (152.1) | 66.5 (169.3) | 67.3 (168.7) | 63.3 (178.8) | 65.9 (180.2) | 55.7 (159.4) | 75.6 (179.9) | 59.8 (151.5) | 67.1 (175.8) |
Noise, highest quintile, % | 7.6 | 10.5 | 11.5 | 10.3 | 10.7 | 8.5 | 11.3 | 8.7 | 10.7 |
Noise, median (IQR) | 43.5 (3.8) | 43.7 (4.6) | 43.6 (4.1) | 43.6 (4.9) | 43.7 (5.3) | 43.5 (4.6) | 43.7 (4.5) | 43.5 (4.2) | 43.8 (4.7) |
Total sample | |||||||||
N (%) | 12,889 (28.6) | 9107 (20.2) | 2128 (4.7) | 2198 (4.9) | 1166 (2.6) | 4487 (10.0) | 3414 (7.6) | 6947 (15.4) | 2699 (6.0) |
Age, Mean (SD) | 54 (9.1) | 52 (8.2) | 53 (9.1) | 52 (8.5) | 51 (8.5) | 53 (8.8) | 54 (9.2) | 53 (8.5) | 53 (8.7) |
Female, % | 63.4 | 68.1 | 64.6 | 66.0 | 65.5 | 67.4 | 63.9 | 66.1 | 64.0 |
College/higher, % | 24.3 | 16.1 | 13.4 | 8.4 | 8.3 | 14.2 | 15.3 | 16.2 | 11.4 |
Household income, <USD 15,000, % | 39.0 | 48.9 | 57.3 | 62.3 | 63.7 | 51.0 | 53.0 | 47.5 | 56.4 |
Metro residence, % | 75.0 | 79.2 | 76.5 | 76.8 | 76.8 | 75.2 | 75.7 | 76.3 | 74.4 |
Neighborhood SES (lowest), % | 34.8 | 41.3 | 45.3 | 47.7 | 54.6 | 45.1 | 42.9 | 41.3 | 49.1 |
LAN, highest quintile, % | 13.8 | 16.8 | 18.2 | 18.2 | 22.8 | 18.2 | 16.6 | 15.5 | 19.6 |
LAN, median (IQR) | 114.5 (220.5) | 145.7 (232.6) | 146.9 (241.4) | 143.8 (248.1) | 170.2 (256.0) | 143.8 (243.1) | 143.8 (242.4) | 133.9 (231.5) | 152.2 (255.9) |
Noise, highest quintile, % | 14.0 | 17.7 | 18.9 | 17.7 | 22.7 | 18.2 | 17.1 | 16.2 | 18.6 |
Noise, median (IQR) | 44.3 (4.5) | 44.8 (4.6) | 44.8 (4.6) | 44.8 (4.6) | 45.5 (4.4) | 44.7 (4.6) | 44.7 (4.6) | 44.6 (4.5) | 44.9 (4.5) |
Normal–Normal | Short–Short | Long–Long | Short–Long | Long–Short | Normal–Short | Normal–Long | Short–Normal | Long–Normal | |
---|---|---|---|---|---|---|---|---|---|
LAN Levels | OR | OR | OR | OR | OR | OR | OR | OR | |
Black individuals | |||||||||
Q1 (Lowest) | Ref | Ref | Ref | Ref | Ref | Ref | Ref | Ref | Ref |
Q2 | Ref | 1.05 (0.93, 1.19) | 1.13 (0.91, 1.39) | 0.99 (0.81, 1.21) | 1.26 (0.99, 1.61) | 1.00 (0.87, 1.16) | 0.81 (0.68, 0.96) | 0.94 (0.83, 1.07) | 0.99 (0.83, 1.18) |
Q3 | Ref | 1.16 (1.02, 1.31) | 1.30 (1.05, 1.62) | 1.05 (0.86, 1.29) | 1.13 (0.87, 1.47) | 1.08 (0.92, 1.25) | 0.94 (0.79, 1.13) | 1.02 (0.89, 1.17) | 1.02 (0.85, 1.23) |
Q4 | Ref | 1.21 (1.06, 1.37) | 1.22 (0.97, 1.52) | 0.96 (0.78, 1.19) | 1.12 (0.86, 1.47) | 1.05 (0.90, 1.23) | 1.08 (0.90, 1.29) | 1.07 (0.93, 1.24) | 1.06 (0.87, 1.28) |
Q5 (Highest) | 1.16 (1.00, 1.33) | 1.24 (0.97, 1.57) | 0.99 (0.79, 1.24) | 1.33 (1.01, 1.75) | 1.20(1.01, 1.42) | 0.94 (0.77, 1.15) | 0.99 (0.85, 1.15) | 1.15 (0.94, 1.41) | |
White individuals | |||||||||
Q1 (Lowest) | Ref | Ref | Ref | Ref | Ref | Ref | Ref | Ref | Ref |
Q2 | Ref | 1.06 (0.94, 1.20) | 1.16 (0.94, 1.44) | 0.95 (0.76, 1.19) | 1.21 (0.80, 1.84) | 0.95 (0.80, 1.12) | 0.98 (0.82, 1.16) | 1.04 (0.91, 1.18) | 1.02 (0.83, 1.27) |
Q3 | Ref | 1.01 (0.87, 1.16) | 1.26 (0.98, 1.61) | 1.00 (0.77, 1.29) | 1.14 (0.70, 1.84) | 0.99 (0.81, 1.20) | 1.12 (0.93, 1.37) | 1.08 (0.93, 1.26) | 0.97 (0.75, 1.25) |
Q4 | Ref | 1.01 (0.85, 1.20) | 0.97 (0.71, 1.32) | 1.04 (0.77, 1.41) | 0.96 (0.53, 1.74) | 0.94 (0.74, 1.20) | 1.08 (0.85, 1.36) | 0.94 (0.77, 1.13) | 0.95 (0.70, 1.29) |
Q5 (Highest) | Ref | 1.06 (0.87, 1.29) | 1.36 (0.98, 1.89) | 0.97 (0.68, 1.37) | 1.51 (0.84, 2.74) | 1.06 (0.81, 1.39) | 1.47 (1.14, 1.90) | 0.95 (0.76, 1.19) | 1.29 (0.93, 1.79) |
Total sample | |||||||||
Q1 (Lowest) | Ref | Ref | Ref | Ref | Ref | Ref | Ref | Ref | Ref |
Q2 | Ref | 1.06 (0.97, 1.15) | 1.15 (0.99, 1.34) | 0.96 (0.83, 1.11) | 1.29 (1.05, 1.58) | 0.99 (0.88, 1.10) | 0.91 (0.80, 1.02) | 0.98 (0.89, 1.07) | 1.00 (0.87, 1.14) |
Q3 | Ref | 1.09 (0.99, 1.19) | 1.28 (1.09, 1.50) | 1.01 (0.86, 1.18) | 1.17 (0.93, 1.46) | 1.04 (0.92, 1.17) | 1.02 (0.90, 1.16) | 1.02 (0.92, 1.13) | 0.98 (0.85, 1.14) |
Q4 | Ref | 1.10 (1.00, 1.22) | 1.14 (0.95, 1.36) | 0.93 (0.79, 1.10) | 1.11 (0.87, 1.40) | 0.99 (0.87, 1.13) | 1.12 (0.98, 1.29) | 1.01 (0.90, 1.12) | 1.00 (0.86, 1.17) |
Q5 (Highest) | Ref | 1.07 (0.96, 1.20) | 1.23 (1.02, 1.48) | 0.94 (0.79, 1.13) | 1.35 (1.06, 1.72) | 1.14 (0.99, 1.31) | 1.09 (0.94, 1.27) | 0.94 (0.84, 1.06) | 1.13 (0.95, 1.33) |
Normal–Normal | Short–Short | Long–Long | Short–Long | Long–Short | Normal–Short | Normal–Long | Short–Normal | Long–Normal | |
---|---|---|---|---|---|---|---|---|---|
Noise levels | OR | OR | OR | OR | OR | OR | OR | OR | |
Black individuals | |||||||||
Q1 (Lowest) | Ref | Ref | Ref | Ref | Ref | Ref | Ref | Ref | Ref |
Q2 | Ref | 1.02 (0.90, 1.15) | 1.07 (0.87, 1.31) | 1.01 (0.84, 1.23) | 1.05 (0.82, 1.34) | 0.93 (0.81, 1.07) | 0.96 (0.81, 1.13) | 1.09 (0.96, 1.24) | 1.12 (0.94, 1.34) |
Q3 | Ref | 1.13 (1.00, 1.27) | 1.14 (0.93, 1.40) | 1.05 (0.87, 1.28) | 1.10 (0.86, 1.40) | 1.05 (0.91, 1.22) | 1.06 (0.89, 1.25) | 1.16 (1.02, 1.32) | 1.20 (1.01, 1.43) |
Q4 | Ref | 1.25 (1.11, 1.42) | 1.11 (0.90, 1.37) | 1.13 (0.92, 1.37) | 1.22 (0.96, 1.56) | 1.09 (0.94, 1.27) | 1.12 (0.94, 1.33) | 1.21 (1.05, 1.38) | 1.16 (0.96, 1.39) |
Q5 (Highest) | 1.25 (1.10, 1.43) | 1.20 (0.96, 1.49) | 1.02 (0.83, 1.26) | 1.39 (1.08, 1.79) | 1.22 (1.04, 1.42) | 1.07 (0.89, 1.28) | 1.15 (1.00, 1.33) | 1.21 (1.00, 1.46) | |
White individuals | |||||||||
Q1 (Lowest) | Ref | Ref | Ref | Ref | Ref | Ref | Ref | Ref | Ref |
Q2 | Ref | 1.06 (0.93, 1.20) | 1.04 (0.84, 1.29) | 0.97 (0.78, 1.22) | 1.27 (0.85, 1.91) | 0.92 (0.78, 1.08) | 1.22 (1.03, 1.44) | 1.03 (0.90, 1.18) | 0.93 (0.75, 1.16) |
Q3 | Ref | 0.98 (0.85, 1.13) | 1.16 (0.92, 1.46) | 0.86 (0.66, 1.11) | 0.97 (0.60, 1.55) | 0.81 (0.67, 0.97) | 1.06 (0.87, 1.27) | 0.94 (0.82, 1.09) | 1.02 (0.80, 1.29) |
Q4 | Ref | 1.10 (0.94, 1.28) | 0.91 (0.69, 1.20) | 1.04 (0.79, 1.35) | 1.24 (0.77, 1.99) | 0.88 (0.71, 1.08) | 1.16 (0.94, 1.43) | 1.05 (0.89, 1.24) | 1.10 (0.85, 1.43) |
Q5 (Highest) | Ref | 1.10 (0.92, 1.32) | 1.22 (0.90, 1.63) | 0.90 (0.66, 1.24) | 1.07 (0.60, 1.90) | 0.81 (0.63, 1.04) | 1.35 (1.06, 1.71) | 0.98 (0.80, 1.19) | 1.11 (0.82, 1.51) |
Total sample | |||||||||
Q1 (Lowest) | Ref | Ref | Ref | Ref | Ref | Ref | Ref | Ref | Ref |
Q2 | Ref | 1.04 (0.95, 1.13) | 1.04 (0.90, 1.21) | 0.99 (0.86, 1.14) | 1.08 (0.88, 1.32) | 0.91 (0.82, 1.01) | 1.08 (0.96, 1.22) | 1.05 (0.96, 1.15) | 1.05 (0.92, 1.20) |
Q3 | Ref | 1.07 (0.98, 1.17) | 1.11 (0.95, 1.28) | 0.99 (0.85, 1.15) | 1.03 (0.84, 1.28) | 0.94 (0.84, 1.05) | 1.09 (0.96, 1.23) | 1.05 (0.95, 1.15) | 1.11 (0.97, 1.27) |
Q4 | Ref | 1.21 (1.10, 1.32) | 1.03 (0.87, 1.21) | 1.10 (0.95, 1.29) | 1.19 (0.96, 1.48) | 1.00 (0.89, 1.12) | 1.15 (1.01, 1.32) | 1.12 (1.01, 1.24) | 1.12 (0.97, 1.30) |
Q5 (Highest) | Ref | 1.19 (1.07, 1.31) | 1.15 (0.97, 1.37) | 0.97 (0.82, 1.15) | 1.31 (1.05, 1.64) | 1.07 (0.94, 1.21) | 1.16 (1.01, 1.34) | 1.06 (0.95, 1.18) | 1.14 (0.98, 1.33) |
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Share and Cite
Nyarko, S.H.; Xiao, Q. Neighborhood Light at Night and Noise Levels, and Long-Term Sleep Trajectories in the Southern Community Cohort Study. Clocks & Sleep 2024, 6, 234-245. https://doi.org/10.3390/clockssleep6020016
Nyarko SH, Xiao Q. Neighborhood Light at Night and Noise Levels, and Long-Term Sleep Trajectories in the Southern Community Cohort Study. Clocks & Sleep. 2024; 6(2):234-245. https://doi.org/10.3390/clockssleep6020016
Chicago/Turabian StyleNyarko, Samuel H., and Qian Xiao. 2024. "Neighborhood Light at Night and Noise Levels, and Long-Term Sleep Trajectories in the Southern Community Cohort Study" Clocks & Sleep 6, no. 2: 234-245. https://doi.org/10.3390/clockssleep6020016