Abstract
Objectives: To evaluate the association of meat consumption with prevalent depressive symptomatology and cardiovascular disease (CVD) incidence in apparently healthy individuals. Methods: ATTICA study was conducted during 2001–2012 including n = 1514 men and n = 1528 women (aged >18 years old) from the greater Athens area, Greece. At baseline, depressive symptomatology through Zung Self-Rating Depression Scale (range 20–80) and meat consumption (total meat, red, white and processed meat) through validated semi-quantitative food frequency questionnaire were assessed. Follow-up (2011–2012) was achieved in n = 2020 participants (n = 317 cases); n = 845 participants with complete psychological metrics were used for the primary analysis. Results: Ranking from 1st to 3rd total meat consumption (low to high) tertiles, participants assigned in 2nd tertile had the lowest depressive-symptomatology scoring (p<0.001). This trend was retained in multiadjusted logistic regression analysis; participants reporting moderate total and red meat consumption had ∼20% lower likelihood to be depressed (i.e. Zung scale<45) compared with their 1st tertile counterparts (Odds Ratio (OR)total meat 0.82, 95% Confidence Interval (95%CI) (0.60, 0.97) and ORred meat 0.79 95%CI (0.45, 0.96)). Non-linear associations were revealed; 2–3 serving/week total meat and 1–2 servings/week red meat presented the lowest odds of depressive symptomatology (all ps<0.05). These U-shape trends seemed to attenuate the aggravating effect of depressive symptomatology on CVD hard endpoints. All aforementioned associations were more evident in women (all ps for sex-related interaction<0.05). Discussion: The present findings generate the hypothesis that moderate total meat consumption and notably, red meat may be more beneficial to prevent depressed mood and in turn hard CVD endpoints.
| Original language | English |
|---|---|
| Pages (from-to) | 266-275 |
| Number of pages | 10 |
| Journal | Nutritional Neuroscience |
| Volume | 25 |
| Issue number | 2 |
| DOIs | |
| Publication status | Published - 11 Apr 2020 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
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