Viewing a single comment thread. View all comments

helm t1_ix33ty3 wrote

The two strongest factors, however, were:

  1. Happiness (happy people are much more alert in the morning)
  2. Age (older people are more alert in the morning)
165

N8CCRG t1_ix3cvei wrote

For clarity, the results say those two factors are the strongest indicators for the set-point of daily alertness, i.e. how alert you will eventually be. Not how quickly you get to your set-point in the morning.

In other words, happier and older people will be the more alert than unhappier younger people. How they slept, how much exercise they get and their breakfast data will direct how quickly they get there.

77

helm t1_ix3f8yj wrote

Thanks, that’s clarifying!

12

DoneisDone45 t1_ix5d45i wrote

> Happiness (happy people are much more alert in the morning) >

that's because if you're unhappiness, you don't want to wake up. you gotta wake up and go through all that pain all over again.

10

Publius82 t1_ix5u2s3 wrote

I think you may be conflating

0

DoneisDone45 t1_ix7gczl wrote

well, i'm saying it from personal experience. when i'm depressed, it's very hard to get up. when i'm not, i get up immediately to start the day.

but yes, now that i read it over, it's about alertness and not willingness to get up. so mine has nothing to do with it.

2

MurderousMaraca t1_ix5ehq6 wrote

Maybe people who are alert in the morning are happy and not the other way around.

6

[deleted] t1_ix37esm wrote

[deleted]

−45

Fisher-Peartree t1_ix39o4l wrote

Have you read the article before sharing it? The researchers found what u/helm wrote: “Mood, specifically levels of daily happiness, together with the age of the individual, were the two most significant predictors of trait alertness (Fig. 5b, c), such that higher levels of happiness and increasing chronological age were each positively predictive of higher inherent levels of alertness (r = 0.67, p < 0.001 and r = 0.345, p < 0.001 respectively; Supplementary Figs. 3 and 4, with p-values adjusted for multiple comparisons using the Holm-Bonferroni method). Just below Figure 5.

27