The validity of ‘;biorhythmic’ theory questioned

Arthur, James

doi:10.1111/j.2044-8295.1984.tb01891.x

Cited by 6 publications

(1 citation statement)

References 4 publications

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“…In sleep research, evidence exists both supporting and refuting the idea that fluctuations in sleep duration follow lunar cycles [5][6][7] . In conventional human behavioral signals spanning reading ability to traffic accidents, multi-day rhythms are unconvincing [8][9][10][11][12] . Common notions on how the multi-day menstrual cycle impacts behavior is a source of workplace discrimination and extend to fundamental experimental designs 13,14 .…”

Section: Introductionmentioning

confidence: 99%

Common multi-day rhythms in smartphone behavior

Ceolini

Ghosh

2022

Preprint

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The idea that abnormal human activities follow multi-day rhythms spans ancient beliefs centered on the moon to modern clinical observations in epilepsy and mood disorders. Multi-day rhythms remain obscure in normal human activities. To address multi-day rhythms in healthy human behavior we analyzed over 300 million smartphone touchscreen interactions logging up to 2 years of day-to-day activities (N = 401 subjects). By using non-negative matrix factorization and data-driven clustering of ~1 million periodograms, we captured a range of multi-day rhythms spanning periods from 7 to 52 days - cutting across age and gender. Despite their common occurrence, any given multi-day rhythm was observed in different parts of the smartphone behavior from one person to the next. There was little support in the data for ubiquitous rhythm drivers like the moon. We propose that multiple multi-day rhythms are a common trait, but their consequences may be uniquely experienced in day-to-day behavior.

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Section: Introductionmentioning

confidence: 99%

Common multi-day rhythms in smartphone behavior

Ceolini

Ghosh

2022

Preprint

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Common multi-day rhythms in smartphone behavior

Ceolini

Ghosh

2023

npj Digit. Med.

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The idea that abnormal human activities follow multi-day rhythms is found in ancient beliefs on the moon to modern clinical observations in epilepsy and mood disorders. To explore multi-day rhythms in healthy human behavior our analysis includes over 300 million smartphone touchscreen interactions logging up to 2 years of day-to-day activities (N401 subjects). At the level of each individual, we find a complex expression of multi-day rhythms where the rhythms occur scattered across diverse smartphone behaviors. With non-negative matrix factorization, we extract the scattered rhythms to reveal periods ranging from 7 to 52 days – cutting across age and gender. The rhythms are likely free-running – instead of being ubiquitously driven by the moon – as they did not show broad population-level synchronization even though the sampled population lived in northern Europe. We propose that multi-day rhythms are a common trait, but their consequences are uniquely experienced in day-to-day behavior.

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A Test of the Intellectual Cycle of the Popular Biorhythm Theory

O’Connor

Molly

1991

The Journal of Psychology

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The validity of ‘;biorhythmic’ theory questioned

Cited by 6 publications

References 4 publications

Common multi-day rhythms in smartphone behavior

Common multi-day rhythms in smartphone behavior

Common multi-day rhythms in smartphone behavior

A Test of the Intellectual Cycle of the Popular Biorhythm Theory

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