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<p>In that same year, the Brazilian population in this age group comprised approximately <spanclass="math inline">\(151,321,000\)</span> individuals <spanclass="citation" data-cites="ibgeg">(<ahref="#/references" role="doc-biblioref" onclick="">Instituto Brasileiro de Geografia e Estatística, n.d.-b</a>)</span>. Considering these two pieces of data, it can be inferred that there were around <spanclass="math inline">\(140,879,851\)</span> literate individuals aged 18 years or older in Brazil in 2017.</p>
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<p>According to the PNAD, the proportion of men and women above 18 years old in 2017 was <spanclass="math inline">\(48.163\%\)</span> and <spanclass="math inline">\(51.837\%\)</span>, respectively <spanclass="citation" data-cites="ibgee">(<ahref="#/references" role="doc-biblioref" onclick="">Instituto Brasileiro de Geografia e Estatística, n.d.-a</a>)</span>. Another edition of the same study showed that internet usage covered <spanclass="math inline">\(82.17\%\)</span> of Brazilian households in 2019 <spanclass="citation" data-cites="ibge2021">(<ahref="#/references" role="doc-biblioref" onclick="">Instituto Brasileiro de Geografia e Estatística, 2021</a>)</span>. Based on this data, it is estimated that the size of the population to be represented in this study is around <spanclass="math inline">\(115,760,973\)</span> individuals, which corresponds to approximately <spanclass="math inline">\(76.500\%\)</span> of the adult Brazilian population in 2017.</p>
<li>It is assumed that individuals in the sample are literate and have internet access, as it would not be possible to respond to the questionnaire without these characteristics.</li>
<li><spanclass="math inline">\(120,265 entries\)</span>, divided into <spanclass="math inline">\(94\)</span> variables, representing a total of <spanclass="math inline">\(11,304,910\)</span> data points.</li>
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<li>All fields in the form were mandatory.</li>
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<li>The value of minutes in the collected times was obtained through intervals of <spanclass="math inline">\(5\)</span> or <spanclass="math inline">\(10\)</span> minutes.</li>
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<li>As it was a prototype, the collection form did not contain response validation rules for most fields, which resulted in a variety of formats in some of the collected variables.</li>
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"href": "index.html#elegibility-criteria",
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"title": "Ecology of sleep and circadian phenotypes of the Brazilian population",
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"section": "Elegibility criteria",
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"text": "Elegibility criteria\n\n\nInclusion criteria\nIC1. Residents in Brazil.\nIC2. Adults (i.e., aged\\(\\geq\\) 18 years).\nIC3. Literate.\nIC4. With internet access\n\nExclusion criteria\nNone. (besides validation)"
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"text": "Elegibility criteria\n\n\nInclusion criteria\nIC1. Residents in Brazil\nIC2. Adults (i.e., age\\(\\geq\\) 18 years)\nIC3. Literate\nIC4. With internet access\n\nExclusion criteria\nNone (besides validation)"
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"text": "Population\nAccording 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).\nIn 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.\nAccording 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."
"title": "Ecology of sleep and circadian phenotypes of the Brazilian population",
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"section": "Sample (raw) chracteristics",
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"text": "Sample (raw) chracteristics\n\nConvenience sample (non-probabilistic)\nUnit of observation and analysis: Individuals\nTotal of \\(120,265\\) entries in the raw state\n\\(118,068\\) responses within a seven-day window (from 15th to 21st October 2017)\nEncompasses all states of Brazil\n\\(92,107\\) Brazilian resident subjects aged 18 years or older (\\(78.012\\%\\) of the total) (ages between \\(18-79\\) years; mean of \\(32.726 \\pm 10.176\\) years)\n\\(66.320\\%\\) are female (ages between \\(18-79\\) years; mean of \\(32.543 \\pm 10.259\\) years) and \\(33.600\\%\\) are male (ages between \\(18-79\\) years; mean of \\(33.076 \\pm 9.987\\) years)\nIt is assumed that individuals in the sample are literate and have internet access, as it would not be possible to respond to the questionnaire without these characteristics."
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"section": "Sample (raw) characteristics",
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"text": "Sample (raw) characteristics\n\nConvenience sample (non-probabilistic)\nUnit of observation and analysis: Individuals\nTotal of \\(120,265\\) entries in the raw state\n\\(118,068\\) responses within a seven-day window (from 15th to 21st October 2017)\nEncompasses all states of Brazil\n\\(92,107\\) Brazilian resident subjects aged 18 years or older (\\(78.012\\%\\) of the total) (ages between \\(18-79\\) years; mean of \\(32.726 \\pm 10.176\\) years)\n\\(66.320\\%\\) are female (ages between \\(18-79\\) years; mean of \\(32.543 \\pm 10.259\\) years) and \\(33.600\\%\\) are male (ages between \\(18-79\\) years; mean of \\(33.076 \\pm 9.987\\) years)\nIt is assumed that individuals in the sample are literate and have internet access, as it would not be possible to respond to the questionnaire without these characteristics."
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{
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"objectID": "index.html#dataset-characteristics",
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"href": "index.html#dataset-characteristics",
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"title": "Ecology of sleep and circadian phenotypes of the Brazilian population",
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"section": "Dataset characteristics",
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"text": "Dataset characteristics\n\n\\(120,265 entries\\), divided into \\(94\\) variables, representing a total of \\(11,304,910\\) data points.\nAll fields in the form were mandatory.\nThe value of minutes in the collected times was obtained through intervals of \\(5\\) or \\(10\\) minutes.\nAs it was a prototype, the collection form did not contain response validation rules for most fields, which resulted in a variety of formats in some of the collected variables."
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{
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"href": "index.html#data-categories",
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"title": "Ecology of sleep and circadian phenotypes of the Brazilian population",
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"section": "Data categories",
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"text": "Data categories\n\n\nRecord/Control\n\nid\ntimestamp\ntrack\n\n\nPersonal\n\nName\nEmail\nSex\nDate of birth\nCountry of residence\nState of residence\nCity of residence\nResidential ZIP code\n[…]\n\n\nHealth\n\nUse of sleeping medication\nUse of other types of medication\nPresence of sleep disorders"
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"text": "(Vartanian, 2023b)"
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{
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"href": "index.html#data-plan",
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"title": "Ecology of sleep and circadian phenotypes of the Brazilian population",
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::: {.column width="50%"}
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__Inclusion criteria__
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__IC1__. Residents in Brazil.
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__IC1__. Residents in Brazil
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__IC2__. Adults (i.e., aged $\geq$ 18 years).
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__IC2__. Adults (i.e., age $\geq$ 18 years)
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__IC3__. Literate.
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__IC3__. Literate
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__IC4__. With internet access
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:::
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::: {.column width="50%"}
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__Exclusion criteria__
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None. (besides validation)
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None (besides validation)
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:::
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:::
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According to the PNAD, the proportion of men and women above 18 years old in 2017 was $48.163\%$ and $51.837\%$, respectively [@ibgee]. Another edition of the same study showed that internet usage covered $82.17\%$ of Brazilian households in 2019 [@ibge2021]. 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.
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## Sample (raw) chracteristics {.smaller}
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## Sample (raw) characteristics {.smaller}
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* Convenience sample (non-probabilistic)
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* Unit of observation and analysis: Individuals
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* $66.320\%$ are female (ages between $18-79$ years; mean of $32.543 \pm 10.259$ years) and $33.600\%$ are male (ages between $18-79$ years; mean of $33.076 \pm 9.987$ years)
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* It is assumed that individuals in the sample are literate and have internet access, as it would not be possible to respond to the questionnaire without these characteristics.
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## Dataset characteristics {.smaller}
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* $120,265 entries$, divided into $94$ variables, representing a total of $11,304,910$ data points.
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* All fields in the form were mandatory.
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* The value of minutes in the collected times was obtained through intervals of $5$ or $10$ minutes.
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* As it was a prototype, the collection form did not contain response validation rules for most fields, which resulted in a variety of formats in some of the collected variables.
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## Data categories {.smaller}
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::: columns
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::: {.column width="33%"}
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__Record/Control__
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* id
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* timestamp
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* track
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:::
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::: {.column width="33%"}
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__Personal__
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* Name
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* Email
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* Sex
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* Date of birth
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* Country of residence
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* State of residence
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* City of residence
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* Residential ZIP code
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*[...]
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:::
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::: {.column width="33%"}
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__Health__
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* Use of sleeping medication
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* Use of other types of medication
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* Presence of sleep disorders
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:::
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:::
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# Data categories {.smaller}
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::: columns
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::: {.column width="33%"}
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__Habits__
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* Employment status
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* Student status
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* Work periods
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* Study periods
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:::
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::: {.column width="66%"}
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__MCTQ standard version__
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(workdays days and work-free days)
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::: columns
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::: {.column width="45%"}
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* Number of workdays per week
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* Local time of going to bed
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* Local time of preparing to sleep
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* Sleep latency or time to fall asleep after preparing to sleep
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