1
|
Lozupone M, Donghia R, Sardone R, Mollica A, Berardino G, Lampignano L, Griseta C, Zupo R, Castellana F, Bortone I, Dibello V, Resta E, Stallone R, Seripa D, Daniele A, Solfrizzi V, Altamura M, Bellomo A, Panza F. Apolipoprotein E genotype, inflammatory biomarkers, and non-psychiatric multimorbidity contribute to the suicidal ideation phenotype in older age. The Salus in Apulia Study. J Affect Disord 2022; 319:202-212. [PMID: 36155237 DOI: 10.1016/j.jad.2022.09.046] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/20/2021] [Revised: 07/29/2022] [Accepted: 09/20/2022] [Indexed: 10/14/2022]
Abstract
BACKGROUND Possible relationships between suicidal ideation and biopsychosocial predictors in older age are unclear. In the population-based Salus in Apulia Study, we investigated the relationships among biomarkers, socio-demographic, psychopathological, inflammatory and metabolic characteristics and suicidal ideation in 1252 older subjects. METHODS Suicidal ideation was evaluated with the brief version of the Columbia-Suicide Severity Rating Scale. Apolipoprotein E (APOE) genotype and inflammatory profile [interleukin (IL)-6, tumor necrosis factor (TNF)-α, C-reactive protein (CRP)] were evaluated. A machine learning algorithm, the Random Forest (RF), selected potential biopsychosocial factors associated to suicidal ideation. RESULTS Suicidal ideators accounted for 2.32 % of subjects, were female, smokers, and obese with multimorbidity. After adjusting for age, gender, education and social dysfunction, logistic regression analyses revealed that suicidal ideation was associated to late-life depression (LLD) (odds ratio:21.71,95 % confidence interval:9.22-51.14). In the full RF model, asthma was the most important contributor to suicidal ideation. In the final RF model, education, age, and mild cognitive impairment followed by gender and global cognition were considered the most important contributors. Among biomarkers, in the final RF model, IL-6 followed by TNF-α, APOE ε4 allele presence, CRP and high-density lipoprotein cholesterol contributed most to suicidal ideation. LIMITATIONS A relatively small number of older subjects with suicidal ideation (2.3 %); we did not distinguish between active and passive suicidal ideation. CONCLUSIONS Although LLD is a strong determinant of suicidal ideation, other non-psychiatric factors, i.e., serum inflammation biomarkers, APOE ε4 allele, and multimorbidity, should be taken into account when evaluating a suicidal ideation phenotype in older age.
Collapse
Affiliation(s)
- Madia Lozupone
- Neurodegenerative Disease Unit, Department of Basic Medicine, Neuroscience, and Sense Organs, University of Bari Aldo Moro, Bari, Italy.
| | - Rossella Donghia
- Population Health Unit-"Salus In Apulia Study", National Institute of Gastroenterology "Saverio de Bellis", Research Hospital, Castellana Grotte, Bari, Italy
| | - Rodolfo Sardone
- Population Health Unit-"Salus In Apulia Study", National Institute of Gastroenterology "Saverio de Bellis", Research Hospital, Castellana Grotte, Bari, Italy
| | - Anita Mollica
- Psychiatric Unit, Department of Clinical and Experimental Medicine, University of Foggia, Foggia, Italy
| | - Giuseppe Berardino
- Psychiatric Unit, Department of Clinical and Experimental Medicine, University of Foggia, Foggia, Italy
| | - Luisa Lampignano
- Population Health Unit-"Salus In Apulia Study", National Institute of Gastroenterology "Saverio de Bellis", Research Hospital, Castellana Grotte, Bari, Italy
| | - Chiara Griseta
- Population Health Unit-"Salus In Apulia Study", National Institute of Gastroenterology "Saverio de Bellis", Research Hospital, Castellana Grotte, Bari, Italy
| | - Roberta Zupo
- Population Health Unit-"Salus In Apulia Study", National Institute of Gastroenterology "Saverio de Bellis", Research Hospital, Castellana Grotte, Bari, Italy
| | - Fabio Castellana
- Population Health Unit-"Salus In Apulia Study", National Institute of Gastroenterology "Saverio de Bellis", Research Hospital, Castellana Grotte, Bari, Italy
| | - Ilaria Bortone
- Population Health Unit-"Salus In Apulia Study", National Institute of Gastroenterology "Saverio de Bellis", Research Hospital, Castellana Grotte, Bari, Italy
| | - Vittorio Dibello
- Department of Orofacial Pain and Dysfunction, Academic Centre for Dentistry Amsterdam (ACTA), University of Amsterdam and Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
| | - Emanuela Resta
- Translational Medicine and Management of Health Systems, University of Foggia, Foggia, Italy
| | - Roberta Stallone
- Neuroscience and Education, Human Resources Excellence in Research, University of Foggia, Foggia, Italy
| | - Davide Seripa
- Hematology and Stem Cell Transplant Unit, "Vito Fazzi" Hospital, Lecce, Italy
| | - Antonio Daniele
- Institute of Neurology, Catholic University of Sacred Heart, Rome, Italy; Institute of Neurology, Fondazione Policlinico Universitario A. Gemelli IRCCS, Rome, Italy
| | - Vincenzo Solfrizzi
- "C. Frugoni" Internal and Geriatric Medicine and Memory Unit, University of Bari Aldo Moro, Bari, Italy
| | - Mario Altamura
- Psychiatric Unit, Department of Clinical and Experimental Medicine, University of Foggia, Foggia, Italy
| | - Antonello Bellomo
- Psychiatric Unit, Department of Clinical and Experimental Medicine, University of Foggia, Foggia, Italy
| | - Francesco Panza
- Neurodegenerative Disease Unit, Department of Basic Medicine, Neuroscience, and Sense Organs, University of Bari Aldo Moro, Bari, Italy; Population Health Unit-"Salus In Apulia Study", National Institute of Gastroenterology "Saverio de Bellis", Research Hospital, Castellana Grotte, Bari, Italy.
| |
Collapse
|
2
|
Lampignano L, Donghia R, Sila A, Bortone I, Tatoli R, De Nucci S, Castellana F, Zupo R, Tirelli S, Giannoccaro V, Guerra V, Panza F, Lozupone M, Mastronardi M, De Pergola G, Giannelli G, Sardone R. Mediterranean Diet and Fatty Liver Risk in a Population of Overweight Older Italians: A Propensity Score-Matched Case-Cohort Study. Nutrients 2022; 14:nu14020258. [PMID: 35057439 PMCID: PMC8779579 DOI: 10.3390/nu14020258] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2021] [Revised: 12/31/2021] [Accepted: 01/05/2022] [Indexed: 12/21/2022] Open
Abstract
Hepatic steatosis, often known as fatty liver, is the most common hepatic disease in Western countries. The latest guidelines for the treatment of nonalcoholic fatty liver disease emphasize lifestyle measures, such as changing unhealthy eating patterns. Using a propensity score-matching approach, this study investigated the effect of adhering to a Mediterranean diet (MedDiet) on fatty liver risk in an older population (≥65 years) from Southern Italy. We recruited 1.403 subjects (53.6% men, ≥65 years) who completed a food frequency questionnaire (FFQ) and underwent clinical assessment between 2015 and 2018. For the assessment of the liver fat content, we applied the Fatty Liver Index (FLI). To evaluate the treatment effect of the MedDiet, propensity score matching was performed on patients with and without FLI > 60. After propensity score-matching with the MedDiet pattern as treatment, we found a higher consumption of red meat (p = 0.04) and wine (p = 0.04) in subjects with FLI > 60. Based on the FLI, the inverse association shown between adherence to the MedDiet and the risk of hepatic steatosis shows that the MedDiet can help to prevent hepatic steatosis. Consuming less red and processed meat, as well as alcoholic beverages, may be part of these healthy lifestyle recommendations.
Collapse
Affiliation(s)
- Luisa Lampignano
- Unit of Data Sciences and Technology Innovation for Population Health, National Institute of Gastroenterology “Saverio de Bellis”, Research Hospital, 70013 Bari, Italy; (L.L.); (R.D.); (A.S.); (I.B.); (R.T.); (S.D.N.); (F.C.); (R.Z.); (S.T.); (V.G.)
| | - Rossella Donghia
- Unit of Data Sciences and Technology Innovation for Population Health, National Institute of Gastroenterology “Saverio de Bellis”, Research Hospital, 70013 Bari, Italy; (L.L.); (R.D.); (A.S.); (I.B.); (R.T.); (S.D.N.); (F.C.); (R.Z.); (S.T.); (V.G.)
| | - Annamaria Sila
- Unit of Data Sciences and Technology Innovation for Population Health, National Institute of Gastroenterology “Saverio de Bellis”, Research Hospital, 70013 Bari, Italy; (L.L.); (R.D.); (A.S.); (I.B.); (R.T.); (S.D.N.); (F.C.); (R.Z.); (S.T.); (V.G.)
| | - Ilaria Bortone
- Unit of Data Sciences and Technology Innovation for Population Health, National Institute of Gastroenterology “Saverio de Bellis”, Research Hospital, 70013 Bari, Italy; (L.L.); (R.D.); (A.S.); (I.B.); (R.T.); (S.D.N.); (F.C.); (R.Z.); (S.T.); (V.G.)
| | - Rossella Tatoli
- Unit of Data Sciences and Technology Innovation for Population Health, National Institute of Gastroenterology “Saverio de Bellis”, Research Hospital, 70013 Bari, Italy; (L.L.); (R.D.); (A.S.); (I.B.); (R.T.); (S.D.N.); (F.C.); (R.Z.); (S.T.); (V.G.)
| | - Sara De Nucci
- Unit of Data Sciences and Technology Innovation for Population Health, National Institute of Gastroenterology “Saverio de Bellis”, Research Hospital, 70013 Bari, Italy; (L.L.); (R.D.); (A.S.); (I.B.); (R.T.); (S.D.N.); (F.C.); (R.Z.); (S.T.); (V.G.)
| | - Fabio Castellana
- Unit of Data Sciences and Technology Innovation for Population Health, National Institute of Gastroenterology “Saverio de Bellis”, Research Hospital, 70013 Bari, Italy; (L.L.); (R.D.); (A.S.); (I.B.); (R.T.); (S.D.N.); (F.C.); (R.Z.); (S.T.); (V.G.)
| | - Roberta Zupo
- Unit of Data Sciences and Technology Innovation for Population Health, National Institute of Gastroenterology “Saverio de Bellis”, Research Hospital, 70013 Bari, Italy; (L.L.); (R.D.); (A.S.); (I.B.); (R.T.); (S.D.N.); (F.C.); (R.Z.); (S.T.); (V.G.)
| | - Sarah Tirelli
- Unit of Data Sciences and Technology Innovation for Population Health, National Institute of Gastroenterology “Saverio de Bellis”, Research Hospital, 70013 Bari, Italy; (L.L.); (R.D.); (A.S.); (I.B.); (R.T.); (S.D.N.); (F.C.); (R.Z.); (S.T.); (V.G.)
| | | | - Vito Guerra
- Unit of Data Sciences and Technology Innovation for Population Health, National Institute of Gastroenterology “Saverio de Bellis”, Research Hospital, 70013 Bari, Italy; (L.L.); (R.D.); (A.S.); (I.B.); (R.T.); (S.D.N.); (F.C.); (R.Z.); (S.T.); (V.G.)
| | - Francesco Panza
- Neurodegenerative Disease Unit, Department of Basic Medicine, Neuroscience, and Sense Organs, University of Bari Aldo Moro, 11, 70125 Bari, Italy; (F.P.); (M.L.)
| | - Madia Lozupone
- Neurodegenerative Disease Unit, Department of Basic Medicine, Neuroscience, and Sense Organs, University of Bari Aldo Moro, 11, 70125 Bari, Italy; (F.P.); (M.L.)
| | - Mauro Mastronardi
- Inflammatory Bowel Disease Unit, National Institute of Gastroenterology, “Saverio De Bellis” Research Hospital, 70013 Bari, Italy;
| | - Giovanni De Pergola
- Unit of Geriatrics and Internal Medicine, National Institute of Gastroenterology “Saverio de Bellis”, Research Hospital, 70013 Bari, Italy;
| | - Gianluigi Giannelli
- Scientific Direction, National Institute of Gastroenterology, “Saverio De Bellis” Research Hospital, 70013 Bari, Italy;
| | - Rodolfo Sardone
- Unit of Data Sciences and Technology Innovation for Population Health, National Institute of Gastroenterology “Saverio de Bellis”, Research Hospital, 70013 Bari, Italy; (L.L.); (R.D.); (A.S.); (I.B.); (R.T.); (S.D.N.); (F.C.); (R.Z.); (S.T.); (V.G.)
- Correspondence:
| |
Collapse
|