To save content items to your account,
please confirm that you agree to abide by our usage policies.
If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account.
Find out more about saving content to .
To save content items to your Kindle, first ensure no-reply@cambridge.org
is added to your Approved Personal Document E-mail List under your Personal Document Settings
on the Manage Your Content and Devices page of your Amazon account. Then enter the ‘name’ part
of your Kindle email address below.
Find out more about saving to your Kindle.
Note you can select to save to either the @free.kindle.com or @kindle.com variations.
‘@free.kindle.com’ emails are free but can only be saved to your device when it is connected to wi-fi.
‘@kindle.com’ emails can be delivered even when you are not connected to wi-fi, but note that service fees apply.
A Body Shape Index (ABSI) is a validated anthropometric measure describing body shape independently of BMI and height. This study aimed to evaluate the association between ABSI and dietary quality and eating behaviours in a Mediterranean clinical population.
Design:
We conducted a cross-sectional study analysing associations between ABSI and diet/behaviour using Pearson correlations and multivariable linear regressions adjusted for age, sex and BMI.
Setting:
The study took place at a Mediterranean diet-based nutrition clinic in Rome, Italy.
Participants:
The sample included 1640 adult patients attending follow-up visits at the clinic. ABSI z-scores were calculated and standardised by age and sex. Weekly food intake was assessed using 7-day food diaries, and behavioural preferences were collected via structured questionnaires.
Results:
The Pearson correlation between BMI and internal z-scored ABSI (zABSI) was weak but statistically significant (r = 0·113, P < 0·0001), confirming that ABSI captures body shape independently from BMI. As expected, ABSI strongly correlated with WC (r = 0·78, P < 0·001). Playing a sport was inversely associated with zABSI (β = –0·365, P < 0·001). Nighttime eating (β = 0·237, P = 0·001), snacking between meals (β = 0·133, P = 0·014) and preference for sweet over salty foods (β = 0·025, P = 0·010) were positively associated with higher ABSI values.
Conclusions:
In this Mediterranean clinical sample, ABSI identified behavioural and dietary correlates of body shape-related risk. Promoting physical activity and addressing nighttime eating may help improve anthropometric profiles linked to abdominal fat distribution.
Recommend this
Email your librarian or administrator to recommend adding this to your organisation's collection.