References

In accordance with the American Psychological Association (APA) Style, 7th edition.

Allaire, J. J., Teague, C., Xie, Y., & Dervieux, C. (n.d.). Quarto [Computer software]. Zenodo. https://doi.org/10.5281/ZENODO.5960048
Allen, M. P. (1997). Understanding regression analysis. Plenum Press.
Anderson, T. W. (1962). On the distribution of the two-sample Cramer-von Mises criterion. The Annals of Mathematical Statistics, 33(3), 1148–1159. https://doi.org/10.1214/aoms/1177704477
Anderson, T. W., & Darling, D. A. (1952). Asymptotic theory of certain "goodness of fit" criteria based on stochastic processes. The Annals of Mathematical Statistics, 23(2), 193–212. https://www.jstor.org/stable/2236446
Anderson, T. W., & Darling, D. A. (1954). A test of goodness of fit. Journal of the American Statistical Association, 49(268), 765–769. https://doi.org/10.1080/01621459.1954.10501232
Andrade, T. G. de, & Beale, A. D. (2024). Darwin and the biological rhythms. PNAS Nexus, 3(8), pgae318. https://doi.org/10.1093/pnasnexus/pgae318
Arif, S., & MacNeil, M. A. (2022). Predictive models aren’t for causal inference. Ecology Letters, 25(8), 1741–1745. https://doi.org/10.1111/ele.14033
Aschoff, J. (1960). Exogenous and endogenous components in circadian rhythms. Cold Spring Harbor Symposia on Quantitative Biology, 25, 11–28. https://doi.org/10.1101/SQB.1960.025.01.004
Aschoff, J. (1969). Phasenlage der Tagesperiodik in Abhängigkeit von Jahreszeit und Breitengrad. Oecologia, 3(2), 125–165. https://doi.org/10.1007/BF00416979
Aschoff, J. (Ed.). (1981). Biological rhythms (Vol. 4). Plenum Press. https://doi.org/10.1007/978-1-4615-6552-9
Aschoff, J. (1989a). Circadian temporal adaptation and the perception of time. International Journal of Psychophysiology, 7(2), 121–123. https://doi.org/10.1016/0167-8760(89)90071-8
Aschoff, J. (1989b). Temporal orientation: Circadian clocks in animals and humans. Animal Behaviour, 37, 881–896. https://doi.org/10.1016/0003-3472(89)90132-2
Aschoff, J., Daan, S., Figala, J., & Müller, K. (1972). Precision of entrained circadian activity rhythms under natural photoperiodic conditions. Naturwissenschaften, 59(6), 276–277. https://research.rug.nl/files/14698568/1972NaturwissAschoff.pdf
Belsley, D. A., Kuh, E., & Welsch, R. E. (2004). Regression diagnostics: Identifying influential data and sources of collinearity. John Wiley & Sons. https://doi.org/10.1002/0471725153
Bera, A. K., & Jarque, C. M. (1981). Efficient tests for normality, homoscedasticity and serial independence of regression residuals: Monte Carlo Evidence. Economics Letters, 7(4), 313–318. https://doi.org/10.1016/0165-1765(81)90035-5
Bivand, R., & Luque, S. (n.d.). Suntools: Calculate sun position, sunrise, sunset, solar noon and twilight [Computer software]. https://doi.org/10.32614/CRAN.package.suntools
Bohlen, J. G., & Simpson. (1973). Latitude and the human circadian system. In J. N. Mills (Ed.), Biological aspects of circadian rhythms (pp. 87–120). Plenum Press. https://doi.org/10.1007/978-1-4613-4565-7
Bonett, D. G., & Seier, E. (2002). A test of normality with high uniform power. Computational Statistics & Data Analysis, 40(3), 435–445. https://doi.org/10.1016/S0167-9473(02)00074-9
Borbély, A. A. (1982). A two process model of sleep regulation. Human Neurobiology, 1(3), 195–204. https://pubmed.ncbi.nlm.nih.gov/7185792/
Borbély, A. A., Daan, S., Wirz-Justice, A., & Deboer, T. (2016). The two-process model of sleep regulation: A reappraisal. Journal of Sleep Research, 25(2), 131–143. https://doi.org/10.1111/jsr.12371
Box, G. E. P., & Pierce, D. A. (1970). Distribution of residual autocorrelations in autoregressive-integrated moving average time series models. Journal of the American Statistical Association, 65(332), 1509–1526. https://doi.org/10.1080/01621459.1970.10481180
Brainard, G. C., Hanifin, J. P., Greeson, J. M., Byrne, B., Glickman, G., Gerner, E., & Rollag, M. D. (2001). Action spectrum for melatonin regulation in humans: Evidence for a novel circadian photoreceptor. Journal of Neuroscience, 21(16), 6405–6412. https://doi.org/10.1523/JNEUROSCI.21-16-06405.2001
Breusch, T. S., & Pagan, A. R. (1979). A simple test for heteroscedasticity and random coefficient variation. Econometrica, 47(5), 1287–1294. https://doi.org/10.2307/1911963
Buhr, E. D., & Takahashi, J. S. (2013). Molecular components of the mammalian circadian clock. In A. Kramer & M. Merrow (Eds.), Circadian Clocks (Vol. 217, pp. 3–27). Springer. https://doi.org/10.1007/978-3-642-25950-0_1
Bulus, M. (n.d.). {Pwrss}: Statistical Power and Sample Size Calculation [Computer software]. https://doi.org/10.32614/CRAN.package.pwrss
Cambon, J., Hernangómez, D., Belanger, C., & Possenriede, D. (2021). Tidygeocoder: An R package for geocoding. Journal of Open Source Software, 6(65), 3544. https://doi.org/10.21105/joss.03544
Cambridge University Press. (n.d.). Cambridge dictionary. Retrieved September 21, 2023, from https://dictionary.cambridge.org/
Chatterjee, S., & Hadi, A. S. (2012). Regression analysis by example (5th ed.). Wiley.
Cohen, J. (1988). Statistical power analysis for the behavioral sciences (2nd ed.). Lawrence Erlbaum Associates.
Cohen, J. (1990). Things I have learned (so far). American Psychologist, 45(12), 1304–1312. https://doi.org/10.1037/10109-028
Cohen, J. (1992). A power primer. Psychological Bulletin, 112(1), 155–159. https://doi.org/10.1037/0033-2909.112.1.155
Cohen, J. (1994). The earth is round (p<.05). American Psychologist, 49(12), 997–1003. https://doi.org/10.1037/0003-066X.49.12.997
Cohen, J., Cohen, P., West, S. G., & Aiken, L. S. (2002). Applied multiple regression/correlation analysis for the behavioral sciences (3rd ed.). Lawrence Erlbaum Associates.
Cold Spring Harbor Laboratory. (n.d.). 1960: Biological clocks, vol. XXV. Retrieved July 17, 2023, from https://symposium.cshlp.org/site/misc/topic25.xhtml
Cook, R. D. (1977). Detection of influential observation in linear regression. Technometrics, 19(1), 15–18. https://doi.org/10.1080/00401706.1977.10489493
Cook, R. D. (1979). Influential observations in linear regression. Journal of the American Statistical Association, 74(365), 169–174. https://doi.org/10.1080/01621459.1979.10481634
Cramér, H. (1928). On the composition of elementary errors: First paper: Mathematical deductions. Scandinavian Actuarial Journal, 1928(1), 13–74. https://doi.org/10.1080/03461238.1928.10416862
D’Agostino, R. B. (1971). An omnibus test of normality for moderate and large size samples. Biometrika, 58(2), 341–348. https://doi.org/10.1093/biomet/58.2.341
D’Agostino, R. B., & Belanger, A. (1990). A suggestion for using powerful and informative tests of normality. The American Statistician, 44(4), 316–321. https://doi.org/10.2307/2684359
D’Agostino, R. B., & Pearson, E. S. (1973). Tests for departure from normality. Empirical results for the distributions of B2 and √b1. Biometrika, 60(3), 613–622. https://doi.org/10.1093/biomet/60.3.613
Dallal, G. E., & Wilkinson, L. (1986). An analytic approximation to the distribution of Lilliefors’s test statistic for normality. The American Statistician, 40(4), 294–296. https://doi.org/10.1080/00031305.1986.10475419
DeGroot, M. H., & Schervish, M. J. (2012). Probability and statistics (4th ed.). Addison-Wesley.
Duffy, J. F., Cain, S. W., Chang, A.-M., Phillips, A. J. K., Münch, M. Y., Gronfier, C., Wyatt, J. K., Dijk, D.-J., Wright, K. P., & Czeisler, C. A. (2011). Sex difference in the near-24-hour intrinsic period of the human circadian timing system. Proceedings of the National Academy of Sciences, 108, 15602–15608. https://doi.org/10.1073/pnas.1010666108
Durbin, J., & Watson, G. S. (1950). Testing for serial correlation in least squares regression. I. Biometrika, 37(3–4), 409–428. https://doi.org/10.1093/biomet/37.3-4.409
Durbin, J., & Watson, G. S. (1951). Testing for serial correlation in least squares regression. II. Biometrika, 38(1–2), 159–178. https://doi.org/10.1093/biomet/38.1-2.159
Durbin, J., & Watson, G. S. (1971). Testing for serial correlation in least squares regression. III. Biometrika, 58(1), 1–19. https://doi.org/10.1093/biomet/58.1.1
Ecochard, R., Stanford, J. B., Fehring, R. J., Schneider, M., Najmabadi, S., & Gronfier, C. (2024). Evidence that the woman’s ovarian cycle is driven by an internal circamonthly timing system. Science Advances, 10(15), eadg9646. https://doi.org/10.1126/sciadv.adg9646
Ehret, C. F. (1974). The sense of time: Evidence for its molecular basis in the eukaryotic gene-action system. In Advances in Biological and Medical Physics (Vol. 15, pp. 47–77). Elsevier. https://doi.org/10.1016/B978-0-12-005215-8.50009-7
Epstein, J. M. (1999). Agent-based computational models and generative social science. Complexity, 4(5), 41–60. https://doi.org/10.1002/(SICI)1099-0526(199905/06)4:5<41::AID-CPLX9>3.0.CO;2-F
Flanagan, A., Bechtold, D. A., Pot, G. K., & Johnston, J. D. (2021). Chrono-nutrition: From molecular and neuronal mechanisms to human epidemiology and timed feeding patterns. Journal of Neurochemistry, 157(1), 53–72. https://doi.org/10.1111/jnc.15246
Foster, R. (2021). Fundamentals of circadian entrainment by light. Lighting Research & Technology, 53(5), 377–393. https://doi.org/10.1177/14771535211014792
Foster, R. G. (2020). Sleep, circadian rhythms and health. Interface Focus, 10(3), 20190098. https://doi.org/10.1098/rsfs.2019.0098
Foster, R. G., & Kreitzman, L. (2005). Rhythms of life: The biological clocks that control the daily lives of every living thing. Profile Books.
Fox, J. (2016). Applied regression analysis and generalized linear models (3rd ed.). Sage.
Frey, B. B. (Ed.). (2022). The SAGE encyclopedia of research design (2nd ed.). SAGE Publications. https://doi.org/10.4135/9781071812082
Frommlet, F., Bogdan, M., & Ramsey, D. (2016). Phenotype and genotype: The search for influential genes (Vol. 18). Springer London. https://doi.org/10.1007/978-1-4471-5310-8
Gómez-de-Mariscal, E., Guerrero, V., Sneider, A., Jayatilaka, H., Phillip, J. M., Wirtz, D., & Muñoz-Barrutia, A. (2021). Use of the p-values as a size-dependent function to address practical differences when analyzing large datasets. Scientific Reports, 11(1, 1), 20942. https://doi.org/10.1038/s41598-021-00199-5
Google. (n.d.). Google Geocoding API [dataset]. Google. https://developers.google.com/maps/documentation/geocoding
Greener, R. (2020, August 4). Stop testing for normality. Medium. https://towardsdatascience.com/stop-testing-for-normality-dba96bb73f90
Hair, J. F. (2019). Multivariate data analysis (8th ed.). Cengage.
Haus, E., & Halberg, F. (1970). Circannual rhythm in level and timing of serum corticosterone in standardized inbred mature C-mice. Environmental Research, 3(2), 81–106. https://doi.org/10.1016/0013-9351(70)90008-3
Holland, J. H. (1992). Complex adaptive systems. Daedalus, 121(1), 17–30. https://www.jstor.org/stable/20025416
Holland, J. H. (2006). Studying complex adaptive systems. Journal of Systems Science and Complexity, 19(1), 1–8. https://doi.org/10.1007/s11424-006-0001-z
Holland, J. H. (2014). Complexity: A very short introduction. Oxford University Press.
Horne, J. A., & Östberg, O. (1976). A self-assessment questionnaire to determine morningness-eveningness in human circadian rhythms. International Journal of Chronobiology, 4(2), 97–110.
Horzum, M. B., Randler, C., Masal, E., Beşoluk, Ş., Önder, İ., & Vollmer, C. (2015). Morningness–eveningness and the environment hypothesis – a cross-cultural comparison of Turkish and German adolescents. Chronobiology International, 32(6), 814–821. https://doi.org/10.3109/07420528.2015.1041598
Hut, R. A., Paolucci, S., Dor, R., Kyriacou, C. P., & Daan, S. (2013). Latitudinal clines: An evolutionary view on biological rhythms. Proceedings of the Royal Society B: Biological Sciences, 280(1765), 20130433. https://doi.org/10.1098/rspb.2013.0433
Instituto Brasileiro de Geografia e Estatística. (n.d.-a). Tabela 6407: População residente, por sexo e grupos de idade [Table]. SIDRA. Retrieved November 16, 2023, from https://sidra.ibge.gov.br/tabela/6407
Instituto Brasileiro de Geografia e Estatística. (n.d.-b). Tabela 6579: População residente estimada [Table]. SIDRA. Retrieved November 16, 2023, from https://sidra.ibge.gov.br/Tabela/3939
Instituto Brasileiro de Geografia e Estatística. (2021). Pesquisa nacional por amostra de domicílios contínua: acesso à internet e à televisão e posse de telefone móvel celular para uso pessoal 2019 (p. 12). Instituto Brasileiro de Geografia e Estatística. https://biblioteca.ibge.gov.br/visualizacao/livros/liv101794_informativo.pdf
Jarque, C. M., & Bera, A. K. (1980). Efficient tests for normality, homoscedasticity and serial independence of regression residuals. Economics Letters, 6(3), 255–259. https://doi.org/10.1016/0165-1765(80)90024-5
Jarque, C. M., & Bera, A. K. (1987). A test for normality of observations and regression residuals. International Statistical Review, 55(2), 163–172. https://doi.org/10.2307/1403192
Kalton, G., & Flores-Cervantes, I. (2003). Weighting methods. Journal of Official Statistics, 19(2), 81–97.
Khalsa, S. B. S., Jewett, M. E., Cajochen, C., & Czeisler, C. A. (2003). A phase response curve to single bright light pulses in human subjects. The Journal of Physiology, 549(3), 945–952. https://doi.org/10.1113/jphysiol.2003.040477
Koenker, R. (1981). A note on studentizing a test for heteroscedasticity. Journal of Econometrics, 17(1), 107–112. https://doi.org/10.1016/0304-4076(81)90062-2
Kolmogorov, A. (1933). Sulla determinazione empirica di una legge di distribuzione. Giornale dell’Istituto Italiano degli Attuari, 4.
Kozak, M., & Piepho, H.-P. (2018). What’s normal anyway? Residual plots are more telling than significance tests when checking ANOVA assumptions. Journal of Agronomy and Crop Science, 204(1), 86–98. https://doi.org/10.1111/jac.12220
Krakauer, D., & Wolpert, D. (2024, September 4). The reality ouroboros. Nautilus. https://nautil.us/the-reality-ouroboros-809153/
Kronfeld-Schor, N., Visser, M. E., Salis, L., & van Gils, J. A. (2017). Chronobiology of interspecific interactions in a changing world. Philosophical Transactions of the Royal Society B: Biological Sciences, 372(1734), 20160248. https://doi.org/10.1098/rstb.2016.0248
Kuhlman, S. J., Craig, L. M., & Duffy, J. F. (2018). Introduction to chronobiology. Cold Spring Harbor Perspectives in Biology, 10(9), a033613. https://doi.org/10.1101/cshperspect.a033613
Landau, W. (2021). The targets R package: A dynamic Make-like function-oriented pipeline toolkit for reproducibility and high-performance computing. Journal of Open Source Software, 6(57), 2959. https://doi.org/10.21105/joss.02959
Latinitium. (n.d.). Latin dictionaries. Latinitium. Retrieved September 21, 2023, from https://latinitium.com/latin-dictionaries/
Leocadio-Miguel, M. A., Louzada, F. M., Duarte, L. L., Areas, R. P., Alam, M., Freire, M. V., Fontenele-Araujo, J., Menna-Barreto, L., & Pedrazzoli, M. (2017). Latitudinal cline of chronotype. Scientific Reports, 7(1), 5437. https://doi.org/10.1038/s41598-017-05797-w
Leocadio-Miguel, M. A., Oliveira, V. C. D., Pereira, D., & Pedrazzoli, M. (2014). Detecting chronotype differences associated to latitude: A comparison between Horne–Östberg and Munich Chronotype questionnaires. Annals of Human Biology, 41(2), 107–110. https://doi.org/10.3109/03014460.2013.832795
Lewin, R. (1993). Complexity: Life at the edge of chaos. Collier Books.
Lilliefors, H. W. (1967). On the Kolmogorov-Smirnov test for normality with mean and variance unknown. Journal of the American Statistical Association, 62(318), 399–402. https://doi.org/10.1080/01621459.1967.10482916
Lin, M., Lucas, H. C., & Shmueli, G. (2013). Research commentary—too big to fail: Large samples and the p-value problem. Information Systems Research, 24(4), 906–917. https://doi.org/10.1287/isre.2013.0480
Ljung, G. M., & Box, G. E. P. (1978). On a measure of lack of fit in time series models. Biometrika, 65(2), 297–303. https://doi.org/10.1093/biomet/65.2.297
Mairan, J.-J. de. (1729). Observation botanique. Histoire de l’Académie royale des sciences avec les mémoires de mathématique et de physique tirés des registres de cette Académie, 35. http://www.bibnum.education.fr/sciencesdelavie/biologie/observation-botanique
Massey, F. J. (1951). The Kolmogorov-Smirnov test for goodness of fit. Journal of the American Statistical Association, 46(253), 68–78. https://doi.org/10.1080/01621459.1951.10500769
Matias, V. A., Serrano, C., Vartanian, D., Pedrazzoli, M., & Benedito-Silva, A. A. (2022, September 3). {Actverse}: An R package for actigraphy data analysis [Poster]. 30th USP International Symposium of Undergraduate Research (SIICUSP), São Paulo. http://dx.doi.org/10.13140/RG.2.2.12760.16643
Maxwell, S. E., Delaney, H. D., & Kelley, K. (2018). Designing experiments and analyzing data: A model comparison perspective (3rd ed.). Routledge.
Meeus, J. (1991). Astronomical algorithms. Willmann-Bell.
Menna-Barreto, L., & Marques, N. (Eds.). (2023). História e perspectivas da cronobiologia no Brasil e na América Latina. Editora da Universidade de São Paulo.
Merrow, M., Spoelstra, K., & Roenneberg, T. (2005). The circadian cycle: Daily rhythms from behaviour to genes. EMBO Reports, 6(10), 930–935. https://doi.org/10.1038/sj.embor.7400541
Minors, D. S., Waterhouse, J. M., & Wirz-Justice, A. (1991). A human phase-response curve to light. Neuroscience Letters, 133(1), 36–40. https://doi.org/10.1016/0304-3940(91)90051-T
Mitchell, M. (2009). Complexity: A guided tour. Oxford University Press.
Nahhas, R. W. (2024). Introduction to regression methods for public health using R. https://www.bookdown.org/rwnahhas/RMPH/
National Aeronautics and Space Administration, & Goddard Institute for Space Studies. (n.d.). Data.GISS: Time and Date of vernal Equinox. Retrieved November 24, 2024, from https://data.giss.nasa.gov/modelE/ar5plots/srvernal.html
Newey, W. K., & West, K. D. (1987). A simple, positive semi-definite, heteroskedasticity and autocorrelation consistent covariance matrix. Econometrica, 55(3), 703–708. https://doi.org/10.2307/1913610
Newey, W. K., & West, K. D. (1994). Automatic lag selection in covariance matrix estimation. The Review of Economic Studies, 61(4), 631–653. https://doi.org/10.2307/2297912
Neyman, J., & Pearson, E. S. (1928a). On the use and interpretation of certain test criteria for purposes of statistical inference: Part I. Biometrika, 20A(1/2), 175–240. https://doi.org/10.2307/2331945
Neyman, J., & Pearson, E. S. (1928b). On the use and interpretation of certain test criteria for purposes of statistical inference: Part II. Biometrika, 20A(3/4), 263–294. https://doi.org/10.2307/2332112
Nobel Prize Outreach AB. (n.d.). Press release. The Nobel Prize. Retrieved September 28, 2023, from https://www.nobelprize.org/prizes/medicine/2017/press-release/
OpenStreetMap contributors. (n.d.). OpenStreetMap [dataset]. OpenStreetMap Foundation. https://www.openstreetmap.org
Paranjpe, D. A., & Sharma, V. K. (2005). Evolution of temporal order in living organisms. Journal of Circadian Rhythms, 3. https://doi.org/10.1186/1740-3391-3-7
Partch, C. L., Green, C. B., & Takahashi, J. S. (2014). Molecular architecture of the mammalian circadian clock. Trends in Cell Biology, 24(2), 90–99. https://doi.org/10.1016/j.tcb.2013.07.002
Pearson, K. (1900). X. On the criterion that a given system of deviations from the probable in the case of a correlated system of variables is such that it can be reasonably supposed to have arisen from random sampling. The London, Edinburgh, and Dublin Philosophical Magazine and Journal of Science, 50(302), 157–175. https://doi.org/10.1080/14786440009463897
Pereira, E. B., Martins, F. R., Gonçalves, A. R., Costa, R., Lima, F. J. L., Rüther, R., Abreu, S. L., Tiepolo, G. M., Pereira, S. V., & Souza, J. G. (2017). Atlas brasileiro de energia solar (2nd ed.). Instituto Nacional de Pesquisas Espaciais. https://doi.org/10.34024/978851700089
Pereira, R. H. M., & Goncalves, C. N. (n.d.). Geobr: Download Official Spatial Data Sets of Brazil [Computer software]. https://doi.org/10.32614/CRAN.package.geobr
Perezgonzalez, J. D. (2015). Fisher, Neyman-Pearson or NHST? A tutorial for teaching data testing. Frontiers in Psychology, 6. https://doi.org/10.3389/fpsyg.2015.00223
Pittendrigh, C. S. (1960). Circadian rhythms and the circadian organization of living systems. Cold Spring Harbor Symposia on Quantitative Biology, 25, 159–184. https://doi.org/10.1101/SQB.1960.025.01.015
Pittendrigh, C. S. (1981). Circadian systems: General perspective. In Biological rhythms (Vol. 4, pp. 57–80). Plenum Press. https://doi.org/10.1007/978-1-4615-6552-9
Pittendrigh, C. S. (1993). Temporal organization: Reflections of a darwinian clock-watcher. Annual Review of Physiology, 55(1), 17–54. https://doi.org/10.1146/annurev.ph.55.030193.000313
Pittendrigh, C. S., Kyner, W. T., & Takamura, T. (1991). The amplitude of circadian oscillations: Temperature dependence, latitudinal clines, and the photoperiodic time measurement. Journal of Biological Rhythms, 6(4), 299–313. https://doi.org/10.1177/074873049100600402
Pittendrigh, C. S., & Takamura, T. (1989). Latitudinal clines in the properties of a circadian pacemaker. Journal of Biological Rhythms, 4(2), 217–235. https://doi.org/10.1177/074873048900400209
Popper, K. R. (1979). Objective knowledge: An evolutionary approach. Oxford University Press.
Posit Team. (n.d.). RStudio: Integrated development environment for R [Computer software]. Posit Software. http://www.posit.co
Qual o CEP. (2024). Banco de CEP e código IBGE [dataset]. https://www.qualocep.com/
R Core Team. (n.d.). R: A language and environment for statistical computing [Computer software]. R Foundation for Statistical Computing. https://www.R-project.org
Raj, A., & van Oudenaarden, A. (2008). Nature, nurture, or chance: Stochastic gene expression and its consequences. Cell, 135(2), 216–226. https://doi.org/10.1016/j.cell.2008.09.050
Ramsey, J. B. (1969). Tests for specification errors in classical linear least-squares regression analysis. Journal of the Royal Statistical Society. Series B (Methodological), 31(2), 350–371. https://doi.org/10.1111/j.2517-6161.1969.tb00796.x
Randler, C. (2008). Morningness-eveningness comparison in adolescents from different countries around the world. Chronobiology International, 25(6), 1017–1028. https://doi.org/10.1080/07420520802551519
Randler, C., & Rahafar, A. (2017). Latitude affects morningness-eveningness: Evidence for the environment hypothesis based on a systematic review. Scientific Reports, 7(1), 39976. https://doi.org/10.1038/srep39976
Rede Globo (Director). (2017, October 15). Metade da população se sente mal no horário de verão, revela pesquisa. Rede Globo. https://g1.globo.com/fantastico/noticia/2017/10/metade-da-populacao-se-sente-mal-no-horario-de-verao-revela-pesquisa.html
Reis, C. (2020). Sleep patterns in portugal [PhD thesis, Universidade de Lisboa]. http://hdl.handle.net/10451/54147
Reis, C., Madeira, S. G., Lopes, L. V., Paiva, T., & Roenneberg, T. (2020). Validation of the Portuguese variant of the Munich Chronotype Questionnaire (MCTQ-PT). Frontiers in Physiology, 11, 795. https://doi.org/10.3389/fphys.2020.00795
Roenneberg, T. (2012). What is chronotype? Sleep and Biological Rhythms, 10(2), 75–76. https://doi.org/10.1111/j.1479-8425.2012.00541.x
Roenneberg, T., Allebrandt, K. V., Merrow, M., & Vetter, C. (2012). Social jetlag and obesity. Current Biology, 22(10), 939–943. https://doi.org/10.1016/j.cub.2012.03.038
Roenneberg, T., Kuehnle, T., Juda, M., Kantermann, T., Allebrandt, K., Gordijn, M., & Merrow, M. (2007). Epidemiology of the human circadian clock. Sleep Medicine Reviews, 11(6), 429–438. https://doi.org/10.1016/j.smrv.2007.07.005
Roenneberg, T., Kumar, C. J., & Merrow, M. (2007). The human circadian clock entrains to sun time. Current Biology, 17(2), R44–R45. https://doi.org/10.1016/j.cub.2006.12.011
Roenneberg, T., & Merrow, M. (2016). The circadian clock and human health. Current Biology, 26(10), R432–R443. https://doi.org/10.1016/j.cub.2016.04.011
Roenneberg, T., Pilz, L. K., Zerbini, G., & Winnebeck, E. C. (2019). Chronotype and social jetlag: A (self-) critical review. Biology, 8(3), 54. https://doi.org/10.3390/biology8030054
Roenneberg, T., Wirz-Justice, A., & Merrow, M. (2003). Life between clocks: Daily temporal patterns of human chronotypes. Journal of Biological Rhythms, 18(1), 80–90. https://doi.org/10.1177/0748730402239679
Roenneberg, T., Wirz-Justice, A., Skene, D. J., Ancoli-Israel, S., Wright, K. P., Dijk, D.-J., Zee, P., Gorman, M. R., Winnebeck, E. C., & Klerman, E. B. (2019). Why should we abolish daylight saving time? Journal of Biological Rhythms, 34(3), 227–230. https://doi.org/10.1177/0748730419854197
Sartor, F., Xu, X., Popp, T., Dodd, A. N., Kovács, Á. T., & Merrow, M. (2023). The circadian clock of the bacterium B. Subtilis evokes properties of complex, multicellular circadian systems. Science Advances, 9(31), eadh1308. https://doi.org/10.1126/sciadv.adh1308
Sayama, H. (2015). Introduction to the modeling and analysis of complex systems. Open SUNY Textbooks.
Schucany, W. R., & Ng, H. K. T. (2006). Preliminary goodness-of-fit tests for normality do not validate the one-sample Student t. Communications in Statistics - Theory and Methods, 35(12), 2275–2286. https://doi.org/10.1080/03610920600853308
Shackelford, J. (2022). An introduction to the history of chronobiology: Biological rhythms emerge as a subject of scientific research (Vol. 1). University of Pittsburgh Press.
Shapiro, S. S., & Francia, R. S. (1972). An approximate analysis of variance test for normality. Journal of the American Statistical Association, 67(337), 215–216. https://doi.org/10.1080/01621459.1972.10481232
Shapiro, S. S., & Wilk, M. B. (1965). An analysis of variance test for normality (complete samples)†. Biometrika, 52(3–4), 591–611. https://doi.org/10.1093/biomet/52.3-4.591
Shatz, I. (2024). Assumption-checking rather than (just) testing: The importance of visualization and effect size in statistical diagnostics. Behavior Research Methods, 56(2), 826–845. https://doi.org/10.3758/s13428-023-02072-x
Silvério, J. T., Tachinardi, P., Langrock, R., Kramer-Sunderbrink, A., Oda, G. A., & Valentinuzzi, V. S. (2024). Changes in daily activity patterns throughout the year in a free-living South American subterranean rodent (Ctenomys coludo). Mammalian Biology. https://doi.org/10.1007/s42991-024-00470-y
Skeldon, A. C., & Dijk, D.-J. (2021). Weekly and seasonal variation in the circadian melatonin rhythm in humans: Entrained to local clock time, social time, light exposure or sun time? Journal of Pineal Research, 71(1), e12746. https://doi.org/10.1111/jpi.12746
Smirnov, N. (1948). Table for estimating the goodness of fit of empirical distributions. Annals of Mathematical Statistics, 19, 279–281.
Struck, J. (2024). Regression Diagnostics with R. University of Wisconsin-Madison. https://sscc.wisc.edu/sscc/pubs/RegDiag-R/
Thapan, K., Arendt, J., & Skene, D. J. (2001). An action spectrum for melatonin suppression: Evidence for a novel non-rod, non-cone photoreceptor system in humans. The Journal of Physiology, 535(1), 261–267. https://doi.org/10.1111/j.1469-7793.2001.t01-1-00261.x
Thode, H. C. (2002). Testing for normality. Marcel Dekker.
Time and Date AS. (n.d.). Solstices & equinoxes for UTC (2000—2049). Retrieved November 24, 2024, from https://www.timeanddate.com/calendar/seasons.html?year=2000&n=1440
Ushey, K., & Wickham, H. (n.d.). Renv: Project environments [Computer software]. https://doi.org/10.32614/CRAN.package.renv
van der Loo, M. P. J. (n.d.). The stringdist package for approximate string matching [Computer software]. https://CRAN.R-project.org/package=stringdist
Vartanian, D. (n.d.-a). {Actverse}: Tools for actigraphy data analysis [Computer software]. https://docs.ropensci.org/actverse/
Vartanian, D. (n.d.-b). {Mctq}: Munich ChronoType Questionnaire tools [Computer software]. https://docs.ropensci.org/mctq/
Vartanian, D. (2024). Is latitude associated with chronotype? [Data Management Plan]. DMPHub. https://doi.org/10.48321/D1B5C8068D
ViaCEP. (n.d.). ViaCEP API: consulte CEPs de todo o Brasil [dataset]. https://viacep.com.br
Viana-Mendes, J., Benedito-Silva, A. A., Andrade, M. A. M., Vartanian, D., Gonçalves, B. da S. B., Cipolla-Neto, J., & Pedrazzoli, M. (2023). Actigraphic characterization of sleep and circadian phenotypes of PER3 gene VNTR genotypes. Chronobiology International, 40(9), 1244–1250. https://doi.org/10.1080/07420528.2023.2256858
von Bertalanffy, L. (1968). General system theory: Foundations, development, applications. George Braziller.
Wang, H., Wang, S., Yu, W., & Lei, X. (2023). Consistency of chronotype measurements is affected by sleep quality, gender, longitude, and latitude. Chronobiology International, 40(7), 952–960. https://doi.org/10.1080/07420528.2023.2237118
Wasserstein, R. L., & Lazar, N. A. (2016). The ASA statement on p-values: Context, process, and purpose. The American Statistician, 70(2). https://doi.org/10.1080/00031305.2016.1154108
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., Malhotra, R. K., Martin, J. L., Patel, S. R., Quan, S. F., & Tasali, E. (2015). Recommended amount of sleep for a healthy adult: A joint consensus statement of the American Academy of Sleep Medicine and Sleep Research Society. Journal of Clinical Sleep Medicine, 11(6), 591–592. https://doi.org/10.5664/jcsm.4758
Welsch, R., & Kuh, E. (1977). Linear regression diagnostics (Working Paper 0173; p. 44). National Bureau of Economic Research. https://doi.org/10.3386/w0173
Wickham, H. (2023, February 23). The tidy tools manifesto. Tidyverse. https://tidyverse.tidyverse.org/articles/manifesto.html
Wickham, H., Çetinkaya-Rundel, M., & Grolemund, G. (2023). R for data science: Import, tidy, transform, visualize, and model data (2nd ed.). O’Reilly Media. https://r4ds.hadley.nz
Wilkinson, M. D., Dumontier, M., Aalbersberg, Ij. J., Appleton, G., Axton, M., Baak, A., Blomberg, N., Boiten, J.-W., Da Silva Santos, L. B., Bourne, P. E., Bouwman, J., Brookes, A. J., Clark, T., Crosas, M., Dillo, I., Dumon, O., Edmunds, S., Evelo, C. T., Finkers, R., … Mons, B. (2016). The FAIR guiding principles for scientific data management and stewardship. Scientific Data, 3(1), 160018. https://doi.org/10.1038/sdata.2016.18