No association between fish intake and depression in over 15,000 older adults from seven low and middle income countries--the 10/66 study.
Albanese, Emiliano;
Lombardo, Flavia L;
Dangour, Alan D;
Guerra, Mariella;
Acosta, Daisy;
Huang, Yueqin;
Jacob, KS;
Llibre Rodriguez, Juan de Jesus;
Salas, Aquiles;
Schönborn, Claudia;
+4 more...Sosa, Ana Luisa;
Williams, Joseph;
Prince, Martin J;
Ferri, Cleusa P;
(2012)
No association between fish intake and depression in over 15,000 older adults from seven low and middle income countries--the 10/66 study.
PLOS ONE, 7 (6).
e38879-.
ISSN 1932-6203
DOI: https://doi.org/10.1371/journal.pone.0038879
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BACKGROUND: Evidence on the association between fish consumption and depression is inconsistent and virtually non-existent from low- and middle-income countries. Using a standard protocol, we aim to assess the association of fish consumption and late-life depression in seven low- and middle-income countries. METHODOLOGY/FINDINGS: We used cross-sectional data from the 10/66 cohort study and applied two diagnostic criteria for late-life depression to assess the association between categories of weekly fish consumption and depression according to ICD-10 and the EURO-D depression symptoms scale scores, adjusting for relevant confounders. All-catchment area surveys were carried out in Cuba, Dominican Republic, Venezuela, Peru, Mexico, China, and India, and over 15,000 community-dwelling older adults (65+) were sampled. Using Poisson models the adjusted association between categories of fish consumption and ICD-10 depression was positive in India (p for trend = 0.001), inverse in Peru (p = 0.025), and not significant in all other countries. We found a linear inverse association between fish consumption categories and EURO-D scores only in Cuba (p for trend = 0.039) and China (p<0.001); associations were not significant in all other countries. Between-country heterogeneity was marked for both ICD-10 (I(2)>61%) and EURO-D criteria (I(2)>66%). CONCLUSIONS: The associations of fish consumption with depression in large samples of older adults varied markedly across countries and by depression diagnosis and were explained by socio-demographic and lifestyle variables. Experimental studies in these settings are needed to confirm our findings.