#cross-sectional study

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This type of study can also be called as a cross-sectional analysis, or transverse study, or a prevalence study. Even though conducting the experiments is not covered in this cross-sectional research, but it is frequently used to comprehend results in the physical as well as social sciences, and also in several industries. It is a type of study where all the subjects of diverse ages will be compared together at a given time.

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Association of disrupted body clock with mood disorders: 2 statistical problems

This cross-sectional study interests a psychologist for its small OR

However, these ORs, etc, represent associations between only a One-Quintile reduction in relative amplitude, a measure of the extent to which circadian rhythmicity of rest–activity cycles is disrupted, and mood disorders, etc. 

1/5 full body clock disruption ==?== mood disorders

UK residents aged 37–73 years were recruited into the UK Biobank general population cohort from 2006 to 2010. We used data from a subset of participants whose activity levels were recorded by wearing a wrist-worn accelerometer for 7 days. 

From these data, we derived a circadian relative amplitude variable, which is a measure of the extent to which circadian rhythmicity of rest–activity cycles is disrupted. 

In the same sample, we examined cross-sectional associations between low relative amplitude and mood disorder…  A one-quintile reduction in relative amplitude was associated with … 

In fact, the 2nd problem is really interesting. Some P-values are so small but corresponding ORs are not so extreme (all ≈ 1). That’s partly why some researchers propose abandoning p-value (threshold).

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Cross-sectional Studies