About this dataset

Context

The dataset tabulates the population of Ten Sleep by gender across 18 age groups. It lists the male and female population in each age group along with the gender ratio for Ten Sleep. The dataset can be utilized to understand the population distribution of Ten Sleep by gender and age. For example, using this dataset, we can identify the largest age group for both Men and Women in Ten Sleep. Additionally, it can be used to see how the gender ratio changes from birth to senior most age group and male to female ratio across each age group for Ten Sleep.

Key observations

Largest age group (population): Male # 20-24 years (23) | Female # 85+ years (16). Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Age groups:

• Under 5 years
• 5 to 9 years
• 10 to 14 years
• 15 to 19 years
• 20 to 24 years
• 25 to 29 years
• 30 to 34 years
• 35 to 39 years
• 40 to 44 years
• 45 to 49 years
• 50 to 54 years
• 55 to 59 years
• 60 to 64 years
• 65 to 69 years
• 70 to 74 years
• 75 to 79 years
• 80 to 84 years
• 85 years and over

Scope of gender :

Please note that American Community Survey asks a question about the respondents current sex, but not about gender, sexual orientation, or sex at birth. The question is intended to capture data for biological sex, not gender. Respondents are supposed to respond with the answer as either of Male or Female. Our research and this dataset mirrors the data reported as Male and Female for gender distribution analysis.

Variables / Data Columns

• Age Group: This column displays the age group for the Ten Sleep population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the Ten Sleep is shown in the following column.
• Population (Female): The female population in the Ten Sleep is shown in the following column.
• Gender Ratio: Also known as the sex ratio, this column displays the number of males per 100 females in Ten Sleep for each age group.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

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80 participants learned a very large number of 640 word-pairs over the course of an entire day and then either slept or stayed awake during the night. Recall was tested after another night of regular sleep. Multiple control measures have been taken: working memory (OSPAN; Unsworth et al., 2005), word generation task (RWT; Aschenbrenner et al., 2000), reaction speed (PVT; Dinges & Kribbs, 1991), subjective sleepiness (SSS; Hoddes et al., 1973), actimetry data. Participants received adequate monetary compensation for their contribution and provided written informed consent prior to the experiment. The study was approved by the local ethics committee.

Abstract (en): The National Social Life, Health and Aging Project (NSHAP) is the first population-based study of health and social factors on a national scale, aiming to understand the well-being of older, community-dwelling Americans by examining the interactions among physical health, illness, medication use, cognitive function, emotional health, sensory function, health behaviors, and social connectedness. It is designed to provide health providers, policy makers, and individuals with useful information and insights into these factors, particularly on social and intimate relationships. The National Opinion Research Center (NORC), along with Principal Investigators at the University of Chicago, conducted more than 3,000 interviews during 2005 and 2006 with a nationally representative sample of adults aged 57 to 85. Face-to-face interviews and biomeasure collection took place in respondents' homes. Wave 2 interviews were conducted from August 2010 through May 2011, during which Wave 1 Respondents were re-interviewed. An attempt was also made to interview individuals who were sampled in Wave 1 but declined to participate. In addition, spouses or co-resident partners were also interviewed using the same instruments as the main respondents. This process resulted in 3,377 total respondents. The following files constitute Wave 2: Core Data, Disposition of Wave 1 Partner Data, Social Networks Data, Social Networks Update Data, Partner History Data, Partner History Update Data, Medications Data, Proxy Data, and Sleep Statistics Data. Included in the Core files (Datasets 1 and 2) are demographic characteristics, such as gender, age, education, race, and ethnicity. Other topics covered respondents' social networks, social and cultural activity, physical and mental health including cognition, well-being, illness, history of sexual and intimate partnerships, and patient-physician communication, in addition to bereavement items. Data were also collected from respondents on the following items and modules: social activity items, physical contact module, sexual interest module, get up and go assessment of physical function, and a panel of biomeasures, including weight, waist circumference, height, blood pressure, smell, saliva collection, and taste. The Disposition of Wave 1 Partner files (Datasets 3 and 4) detail information derived from Section 6A items regarding the partner from Wave 1 within the questionnaire. This provides a complete history for respondent partners across both waves. The Social Networks files (Datasets 5 and 6) contain one record for each person identified on the network roster. Respondents who refused to participate in the roster or who did not identify anyone are not represented in this file. The Social Networks Update files (Datasets 7 and 8) detail respondents' current relationship status with each person identified on the network roster. The Partner History file (Dataset 9) contains one record for each marriage, cohabitation, or romantic relationship identified in Section 6A of the questionnaire, including a current partner in Wave 2 but excluding the partner from Wave 1. The Partner History Update file (Dataset 10) details respondents' current sexual partner information, as well as marital and cohabiting status. The Medications Data file (Dataset 11) contains records for items listed in the medications log. The Proxy Data files (Datasets 12 and 13) contain information from proxy interviews administered for Wave 1 Respondents who were either deceased or whose health was too poor to participate in Wave 2. The Sleep Statistics Data files (Dataset 14 and 15) provide information on actigraphy sleep variables. In Wave 2, the instrument was simplified to facilitate both administration and analysis. Particularly, all questions were asked entirely in the in-person interview or the leave-behind questionnaire, as was not the case for the previous Wave 1 study design. In addition, partner history items regarding relationship details and sexual experience were combined into the same modules. As in Wave 1, selected biomeasures were administered to a randomized subset of respondents in cases where this provided adequate power for likely analyses. Users may refer to ICPSR 20541, National Social Life, Health, and Aging Project (NSHAP): Wave 1 for further study design information, as well as the P.I. Documentation and visit the NORC at the University of Chicago Web site. ICPSR data undergo a confidentiality review and ...

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*NPSD: number of patients with sleep disorders, NPWSD: number of patients without sleep disorders, TN: total number, PPSD: percentage of patients with sleep disorders.

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Overview

This repository contains data files and scripts related to the study titled "Natural selection at PRKAA1 variant in Andeans is associated with improved ventilation and sleep phenotypes in highlanders and lowlanders." This study explores genetic selection on the PRKAA1 gene in Andean populations and investigates how it impacts physiological responses to high altitude. The data includes genotype-phenotype associations, whole-genome sequences, and selection scans that contribute to understanding how PRKAA1 variants support adaptation to high-altitude environments.

Repository Structure

Main Directory

• README.md: This document.

Subdirectories and Files

1. SNP Genotyping

   • prkaa1 association results.xlsx: Contains statistical results for associations between PRKAA1 SNPs and respiratory and sleep-related phenotypes.

   • prkaa1 genotype and cdp phenotype.csv: Dataset with PRKAA1 genotypes linked to phenotypic data, particularly ventilation and sleep metrics, in Cerro de Pasco, Peru.

   • summary table.xlsx: Summary statistics for SNP association tests, including sample sizes and effect sizes for each phenotype.

2. Large Genome Summary Statistics

   • FHS

     : Data from the Framingham Heart Study (FHS), a cohort of European descent.

     • dbgap variables.xlsx: Description of phenotype and covariate variables in FHS.

     • fhs stats.xlsx: Summary statistics for PRKAA1 SNPs in FHS, including sleep-related phenotypes.

     • prkaa1 variant.csv: Genotype data for PRKAA1 SNPs in FHS participants.

   • HCHS

     : Data from the Hispanic Community Health Study/Study of Latinos (HCHS), focusing on the Latino population.

     • HCHS top results annotated.xlsx: Annotated top results from association tests with PRKAA1 variants.

     • HCHS variable explained.xlsx: Explanation of phenotype variables in the HCHS dataset.

     • prkaa1 variant.csv: Genotype data for PRKAA1 SNPs in HCHS participants.

3. Luciferase

   • prkaa1 luciferase.csv: Contains results from luciferase assays assessing transcriptional activity related to PRKAA1 variants. These assays were conducted in HEK293T cells to determine the regulatory effect of the rs10035235 variant.

4. Selection Scan

   • selection scan results part1.csv.gz & selection scan results part2.csv.gz: Compressed CSV files with selection scan results for PRKAA1 across the Andean genome. These files contain scores and metrics derived from the Composite of Multiple Signals (CMS) test to identify regions under selection.

5. Whole Genome Sequencing

   • andean_prkaa1_region.vcf: A VCF file of high-coverage whole-genome sequences from Andean individuals, focused on the PRKAA1 region. Used in selection scans to assess allele frequencies and LD (linkage disequilibrium) patterns.

Data Use and Citation

Please cite the original manuscript when using this data for publications, presentations, or analyses. Data access is intended for research purposes only and requires proper attribution.

For further information or questions about the data, please contact the repository authors: Wanjun Gu (wanjun.gu@ucsf.edu) and Elijah Lawrence (elijah.lawrence@duke.edu) or the corresponding author Dr. Tatum Simonson (tsimonson@ucsd.edu).

This table contains characteristics of children and youth aged 1 to 17 years on general health like perceived health and mental health, on long-term conditions such as asthma and diabetes and on aches and sleeping difficulties.

Statistics of the experimental data set.