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Sleep Cognition Productivity

topic v1.0.0 Agent-extracted

How sleep duration and quality affect cognitive performance, decision-making, and economic productivity — the neuroscience and economics of sleep deprivation. Built on Walker, Dinges, Gibson & Shrader, Hafner et al. Data from ATUS (American Time Use Survey, 200K+ respondents), NHANES sleep modules, Fitbit/wearable population studies, and natural experiments using daylight saving time shifts. The most data-rich domain nobody packages: sleep is measured at population scale but rarely linked to economic outcomes.

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Domain: Sleep, Cognition & Economic Productivity

Interdisciplinary study linking sleep duration and quality to cognitive performance, workplace productivity, and macroeconomic outcomes. Bridges neuroscience (memory consolidation, prefrontal function), occupational health (accident risk, absenteeism), and economics (GDP impact of insufficient sleep). Unique because individual-level sleep data exists at massive scale (wearables, time-use surveys) but cross-domain synthesis is rare.

Period: 2003-present Population: Working-age adults (18-65), population surveys, wearable device users, shift workers Level: micro

Overview

6
Constructs
5
Engines

Constructs

sleep_duration Sleep Duration

Total hours of sleep per 24-hour period, measured via polysomnography (gold standard), actigraphy (wearables), or self-report (ATUS, NHANES). Recommended 7-9 hours for adults (AASM). US average: 6.8 hours on workdays. Population-level data available from ATUS (N>200K), NHANES sleep module, and Fitbit aggregate studies (N>6M nights).

cognitive_performance Cognitive Performance Under Sleep Restriction

Composite of reaction time (PVT), working memory (n-back), executive function (Stroop), and decision quality measured after controlled sleep restriction. Performance declines are cumulative: 6h/night for 14 days produces impairment equivalent to 48 hours total sleep deprivation. Crucially, subjective sleepiness plateaus after ~3 days while objective impairment continues to worsen.

gdp_cost_of_sleep_loss GDP Cost of Insufficient Sleep

Estimated annual GDP loss from workforce sleep deprivation through three channels: mortality (shorter lifespan), absenteeism (more sick days), and presenteeism (reduced on-the-job productivity). Hafner et al. (2017) estimate: US loses $411B/year (2.28% GDP), Japan $138B (2.92% GDP), UK $50B (1.86% GDP). Calculated via human capital approach.

sleep_quality Sleep Quality

Composite measure of sleep efficiency (% time in bed asleep), number of awakenings, time in deep/REM sleep, and sleep onset latency. Pittsburgh Sleep Quality Index (PSQI) is the standard self-report instrument (0-21 scale, >5 = poor quality). Wearable devices now provide objective proxies at population scale.

workplace_accident_risk Workplace Accident Risk

Probability of occupational injury or error per shift as a function of prior sleep. Workers sleeping <6 hours have 1.7x the accident risk of those sleeping 7-8 hours. After DST spring-forward (population loses 1 hour), US workplace injuries increase 5.7% and severity increases 67.6% on the following Monday.

nap_restoration_effect Nap Restoration Effect

Degree to which a daytime nap (10-30 minutes) restores cognitive performance after sleep restriction. A 26-minute nap improves pilot performance by 34% and alertness by 54% (NASA nap study). However, naps do not fully compensate for chronic sleep debt — they provide temporary relief, not recovery. Longer naps (>30 min) risk sleep inertia.

Engines

ols_regression instrumental_variables difference_in_differences meta_analysis correlation_matrix

Tags

topic

Details

Domain: Sleep, Cognition & Economic Productivity

Interdisciplinary study linking sleep duration and quality to cognitive performance, workplace productivity, and macroeconomic outcomes. Bridges neuroscience (memory consolidation, prefrontal function), occupational health (accident risk, absenteeism), and economics (GDP impact of insufficient sleep). Unique because individual-level sleep data exists at massive scale (wearables, time-use surveys) but cross-domain synthesis is rare.

Temporal scope: 2003-present | Population: Working-age adults (18-65), population surveys, wearable device users, shift workers

Installation

Install this PAX into your Praxis instance:

praxis_import_pax("sleep-cognition-productivity.pax.tar.gz", install=True)