correlational
Analysis v1
67
Pro
0
Against

Even though people might not remember exactly when they ate, the general patterns of when and how often they eat still line up with whether they gain or lose weight over time.

Scientific Claim

In a cohort of 50,660 North American adults aged 30 and older, self-reported meal frequency and timing data are associated with BMI change despite potential measurement error, indicating that even imperfect dietary recall can capture meaningful behavioral patterns linked to long-term weight trends.

Original Statement

Potential weaknesses include the nonprospective nature of our analyses... Probable errors in self-reported measures of meal frequency and timing (which were not validated)...

Evidence Quality Assessment

Claim Status

appropriately stated

Study Design Support

Design supports claim

Appropriate Language Strength

association

Can only show association/correlation

Assessment Explanation

The authors transparently acknowledge measurement error and do not overstate the precision of the data. The conclusion that associations persist despite limitations is appropriately cautious and evidence-based.

Evidence from Studies

Supporting (1)

67

Even though people might not remember exactly what they ate, this big study found that those who ate fewer meals, skipped snacks, ate breakfast, and had their biggest meal in the morning tended to lose weight over time—so their answers still showed real patterns.

Contradicting (0)

0
No contradicting evidence found