flowchart LR A[P1] --> B(TT) B --> C[EE] C --> D[P2]
University of São Paulo
2023-11-16
This presentation will provide an overview of the thesis objectives, main concepts, methods, and results. Here is our itinerary.
This thesis focuses on the ecology of sleep and circadian phenotypes (chronotypes) with the aim of providing answers to the following questions:
Q1. How are the sleep-wake cycles and circadian phenotypes of the adult Brazilian population characterized?
Q2. Is latitude associated with the regulation of circadian rhythms in humans?
The primary objectives (PO) are as follows:
PO1. Quantitatively describe the expression of sleep-wake cycles and circadian phenotypes of the Brazilian adult population at the end of the year 2017 (pre-pandemic).
PO2. Investigate and model the presence/absence of a significant association and effect between decimal degrees of latitude (independent variable (IV)) and circadian phenotypes (dependent variable (DV)) of the Brazilian population.
The basic hypothesis to be tested is that populations residing near the equator (latitude 0°) have, on average, a shorter/more morning-oriented circadian phenotype compared to populations living near the Earth’s poles (Hut et al., 2013; Leocadio-Miguel et al., 2014, 2017; Pittendrigh et al., 1991; Randler, 2008; Randler & Rahafar, 2017; Roenneberg et al., 2003).
\[ \begin{cases} \text{H}_{0}: \text{R}^{2}_{r} >= \text{R}^{2}_{f} \\ \text{H}_{a}: \text{R}^{2}_{r} < \text{R}^{2}_{f} \end{cases} \]
\[ f^{2} = \cfrac{\text{R}^{2}_{f} - \text{R}^{2}_{r}}{1 - \text{R}^{2}_{f}} = \cfrac{\text{Additional Var. Explained}}{\text{Var. unexplained}} \]
flowchart LR A[P1] --> B(TT) B --> C[EE] C --> D[P2]
The main idea of nested models is to verify the effect of the inclusion of one or more predictors in the model variance explanation (i.e., the \(\text{R}^{2}\)) (Allen, 1997). This can be made by creating a restricted model and then comparing it with a full model. Hence, the hypothesis can be schematized as follows.
\[ \begin{cases} \text{H}_{0}: \text{R}^{2}_{r} >= \text{R}^{2}_{f} \\ \text{H}_{a}: \text{R}^{2}_{r} < \text{R}^{2}_{f} \end{cases} \]
\[ f^{2} = \cfrac{\text{R}^{2}_{f} - \text{R}^{2}_{r}}{1 - \text{R}^{2}_{f}} = \cfrac{\text{Additional Var. Explained}}{\text{Var. unexplained}} \]
Restricted model (\(r\))
\[ \text{MSF}_{\text{sc}} = \beta_{0} + \beta_{1} \text{Sex} + \beta_{2} \text{Age} + \varepsilon \]
Full model (\(f\))
\[ \text{MSF}_{\text{sc}} = \beta_{0} + \beta_{1} \text{Sex} + \beta_{2} \text{Age} + \beta_{3} \text{Latitude} + \varepsilon \]
Inclusion criteria
IC1. Residents in Brazil
IC2. Adults (i.e., age \(\geq\) 18 years)
IC3. Literate
IC4. With internet access
Exclusion criteria
None (besides validation)
According to the Continuous National Household Sample Survey (PNAD), in 2017, Brazil had an illiteracy rate of \(6.9\%\) among individuals aged 18 years or older (Instituto Brasileiro de Geografia e Estatística, n.d.-c).
In that same year, the Brazilian population in this age group comprised approximately \(151,321,000\) individuals (Instituto Brasileiro de Geografia e Estatística, n.d.-b). Considering these two pieces of data, it can be inferred that there were around \(140,879,851\) literate individuals aged 18 years or older in Brazil in 2017.
According to the PNAD, the proportion of men and women above 18 years old in 2017 was \(48.163\%\) and \(51.837\%\), respectively (Instituto Brasileiro de Geografia e Estatística, n.d.-a). Another edition of the same study showed that internet usage covered \(82.17\%\) of Brazilian households in 2019 (Instituto Brasileiro de Geografia e Estatística, 2021). Based on this data, it is estimated that the size of the population to be represented in this study is around \(115,760,973\) individuals, which corresponds to approximately \(76.500\%\) of the adult Brazilian population in 2017.
Record/Control
Personal
Health
Habits
MCTQ standard version
(workdays days and work-free days)
See:
name | value |
---|---|
n | 79198 |
n_rm_na | 79198 |
n_na | 0 |
mean | 04:28:17.770957 |
var | 08:05:53.49992 |
sd | 01:26:51.406096 |
min | 00:22:30 |
q_1 | 03:26:25.714286 |
median | 04:20:42.857143 |
q_3 | 05:25:42.857143 |
max | 08:31:04.285714 |
iqr | 01:59:17.142857 |
skewness | 0.284586184927996 |
kurtosis | 2.77321491178072 |
name | value |
---|---|
n | 76744 |
n_rm_na | 76744 |
n_na | 0 |
mean | 04:28:35.437224 |
var | 12:15:36.924895 |
sd | 01:26:44.549637 |
min | 00:22:30 |
q_1 | 03:26:47.142857 |
median | 04:21:25.714286 |
q_3 | 05:26:04.285714 |
max | 08:31:04.285714 |
iqr | 01:59:17.142857 |
skewness | 0.284161285620669 |
kurtosis | 2.77330246940943 |
A significant p-value (\(\text{p-value} = 2e-16\)) was found, but with a negligible effect size (Cohen’s \(f^2 = 0.00740\)). Based on these results, we must reject \(\text{H}_{a}\) in favor of \(\text{H}_{0}\).
\[ \begin{cases} \text{H}_{0}: \text{R}^{2}_{r} >= \text{R}^{2}_{f} \\ \text{H}_{a}: \text{R}^{2}_{r} < \text{R}^{2}_{f} \end{cases} \]
It is then possible to answer one of the study main question: Is latitude associated with the regulation of circadian rhythms in humans? Based on these results the answer is no.
Despite the lack of evidence, is not uncommon to hear talks insisting that the latitude effect is real and already confirmed, but, at this time, at least in humans, no empirical evidence can support this claim.
The results show that even with a wide latitudinal spectrum and with a big and aligned sample of biological states the latitude effect does not reveal itself in a non-negligible size.
As Karl Popper said, science begins and ends with questions (Popper, 1979). The absence of a strong entrainment with the solar zeitgeber shows that the entrainment phenomenon is more complex than we previously imagined. Other hypotheses for the human circadian entrainment, like the entrainment to self-selected light, proposed by Anna Skeldon and Derk-Jan Dijk (2021), need to be tested and may produce significant results.
This thesis was presented to the School of Arts, Sciences and Humanities (EACH) at the University of São Paulo (USP), as a requirement for the degree of Master of Science by the Graduate Program in Complex Systems Modeling (PPG-SCX).
Financial support was provided by the Coordination for the Improvement of Higher Education Personnel (CAPES (Grant number: 88887.703720/2022-00).
Thesis Supervisor: Prof. Dr. Camilo Rodrigues Neto.
Area of concentration: Fundamentals of complex systems.
You can learn more about this work at: https://github.com/danielvartan/mastersthesis
In accordance with the American Psychological Association (APA) Style, 7th edition.