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  1. Book ; Online: Drivers and stressors of resilience to food insecurity

    D'Errico, Marco / Pinay, Jeanne / Luu, Anh / Jumbe, Ellestina

    evidence from 35 countries : background paper for The State of Food and Agriculture 2021

    (FAO agricultural development economics working paper ; 2021,9)

    2021  

    Author's details D'Errico, Marco; Pinay, Jeanne; Luu, Anh; Jumbe, Ellestina
    Series title FAO agricultural development economics working paper ; 2021,9
    Collection
    Language English
    Size 1 Online-Ressource (vi, 39 Seiten), Diagramme
    Publisher Food and Agriculture Organization of the United Nations
    Publishing place Rome
    Publishing country Italy ; XP
    Document type Book ; Online
    Note Open Access
    HBZ-ID HT021212018
    ISBN 978-92-5-135227-4 ; 92-5-135227-5
    DOI 10.4060/cb7411en
    Database ZB MED Catalogue: Medicine, Health, Nutrition, Environment, Agriculture

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  2. Article ; Online: The economic burden of obesity in Italy: a cost-of-illness study.

    d'Errico, Margherita / Pavlova, Milena / Spandonaro, Federico

    The European journal of health economics : HEPAC : health economics in prevention and care

    2021  Volume 23, Issue 2, Page(s) 177–192

    Abstract: Background: Obesity is a complex health disorder that significantly increases the risk of several chronic diseases, and it has been associated with a 5-20-year decrease in life expectancy. The prevalence of obesity is increasing steadily worldwide and ... ...

    Abstract Background: Obesity is a complex health disorder that significantly increases the risk of several chronic diseases, and it has been associated with a 5-20-year decrease in life expectancy. The prevalence of obesity is increasing steadily worldwide and Italy follows this trend with an increase of almost 30% in the adult obese population in the last 3 decades. Previous studies estimated that 2-4% of the total health expenditure in Europe is attributed to obesity and it is projected to double by 2050. Currently, there is a lack of sufficient knowledge on the burden of obesity in Italy and most relevant estimates are derived from international studies. The aim of this study is to estimate the direct and indirect costs of obesity in Italy, taking 2020 as the reference year.
    Methods: Based on data collected from the literature, a quantitative cost-of-illness (COI) study was performed from a societal perspective focussing on the adult obese population (Body Mass Index (BMI) ≥ 30 kg/m
    Results: The study indicated that the total costs attributable to obesity in Italy amounted to €13.34 billion in 2020 (95% credible interval: €8.99 billion < µ < €17.80 billion). Direct costs were €7.89 billion, with cardiovascular diseases (CVDs) having the highest impact on costs (€6.66 billion), followed by diabetes (€0.65 billion), cancer (€0.33 billion), and bariatric surgery (€0.24 billion). Indirect costs amounted to €5.45 billion, with almost equal contribution of absenteeism (€2.62 billion) and presenteeism (€2.83 billion).
    Conclusions: Obesity is associated with high direct and indirect costs, and cost-effective prevention programmes are deemed fundamental to contain this public health threat in Italy.
    MeSH term(s) Adult ; Cost of Illness ; Financial Stress ; Health Care Costs ; Humans ; Italy/epidemiology ; Obesity/epidemiology ; Prevalence
    Language English
    Publishing date 2021-08-04
    Publishing country Germany
    Document type Journal Article
    ZDB-ID 2045253-6
    ISSN 1618-7601 ; 1618-7598
    ISSN (online) 1618-7601
    ISSN 1618-7598
    DOI 10.1007/s10198-021-01358-1
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article ; Online: prolfqua

    Wolski, Witold E / Nanni, Paolo / Grossmann, Jonas / d'Errico, Maria / Schlapbach, Ralph / Panse, Christian

    Journal of proteome research

    2023  Volume 22, Issue 4, Page(s) 1092–1104

    Abstract: Mass spectrometry is widely used for quantitative proteomics studies, relative protein quantification, and differential expression analysis of proteins. There is a large variety of quantification software and analysis tools. Nevertheless, there is a need ...

    Abstract Mass spectrometry is widely used for quantitative proteomics studies, relative protein quantification, and differential expression analysis of proteins. There is a large variety of quantification software and analysis tools. Nevertheless, there is a need for a modular, easy-to-use application programming interface in
    MeSH term(s) Proteomics/methods ; Software ; Proteins/analysis ; Models, Statistical ; Mass Spectrometry/methods
    Chemical Substances Proteins
    Language English
    Publishing date 2023-03-20
    Publishing country United States
    Document type Journal Article
    ZDB-ID 2078618-9
    ISSN 1535-3907 ; 1535-3893
    ISSN (online) 1535-3907
    ISSN 1535-3893
    DOI 10.1021/acs.jproteome.2c00441
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article ; Online: A Retrospective, Cross-Sectional Study of Self-Reported Physical Activity and Depression Among Breast, Gynecologic, and Thoracic Cancer Survivors.

    D'Errico, Michelle / Fessele, Kristen L

    Oncology nursing forum

    2020  Volume 48, Issue 1, Page(s) 59–64

    Abstract: Objectives: To describe cancer survivors' self-reported frequency and intensity of physical activity and depression.: Sample & setting: 1,412 breast (n = 375), gynecologic (n = 369), and thoracic (n = 668) cancer survivors at an urban comprehensive ... ...

    Abstract Objectives: To describe cancer survivors' self-reported frequency and intensity of physical activity and depression.
    Sample & setting: 1,412 breast (n = 375), gynecologic (n = 369), and thoracic (n = 668) cancer survivors at an urban comprehensive cancer center between July 2017 and December 2018.
    Methods & variables: Attainment of recommended physical activity was assessed using the Godin-Shepard Leisure-Time Physical Activity Questionnaire, and depression was assessed using the Patient Health Questionnaire (PHQ)-2 or PHQ-9. Abstracted characteristics, including age, sex, race, years since diagnosis, pain, body mass index, smoking, and marital and employment status, were also assessed.
    Results: 872 patients were insufficiently active, and 105 patients reported some level of depression. Breast cancer survivors were significantly more likely to attain recommended activity levels than gynecologic or thoracic survivors. There was no intergroup difference in the incidence or severity of depression.
    Implications for nursing: Nurses working with survivors should assess physical activity and support patients to meet weekly exercise duration and intensity recommendations.
    MeSH term(s) Breast Neoplasms ; Cancer Survivors ; Cross-Sectional Studies ; Depression/epidemiology ; Depression/etiology ; Exercise ; Female ; Humans ; Retrospective Studies ; Self Report ; Surveys and Questionnaires ; Survivors
    Language English
    Publishing date 2020-12-18
    Publishing country United States
    Document type Journal Article ; Research Support, N.I.H., Extramural
    ZDB-ID 604886-9
    ISSN 1538-0688 ; 0190-535X ; 1538-0688
    ISSN (online) 1538-0688 ; 0190-535X
    ISSN 1538-0688
    DOI 10.1188/21.ONF.59-64
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article ; Online: A new cylindrical borehole detector for radiographic imaging with muons.

    Cimmino, L / Ambrosino, F / Anastasio, A / D'Errico, M / Masone, V / Roscilli, L / Saracino, G

    Scientific reports

    2021  Volume 11, Issue 1, Page(s) 17425

    Abstract: Muon radiography is a methodology which enables measuring the mass distribution within large objects. It exploits the abundant flux of cosmic muons and uses detectors with different technologies depending on the application. As the sensitive surface and ... ...

    Abstract Muon radiography is a methodology which enables measuring the mass distribution within large objects. It exploits the abundant flux of cosmic muons and uses detectors with different technologies depending on the application. As the sensitive surface and geometric acceptance are two fundamental parameters for increasing the collection of muons, the optimization of the detectors is very significant. Here we show a potentially innovative detector of size and shape suitable to be inserted inside a borehole, that optimizes the sensitive area and maximizes the angular acceptance thanks to its cylindrical geometry obtained using plastic arc-shaped scintillators. Good spatial resolution is obtained with a reasonable number of channels. The dimensions of the detector make it ideal for use in 25 cm diameter wells. Detailed simulations based on Monte Carlo methods show great cavity detection capability. The detector has been tested in the laboratory, achieving overall excellent performance.
    Language English
    Publishing date 2021-08-31
    Publishing country England
    Document type Journal Article
    ZDB-ID 2615211-3
    ISSN 2045-2322 ; 2045-2322
    ISSN (online) 2045-2322
    ISSN 2045-2322
    DOI 10.1038/s41598-021-96247-1
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Article ; Online: Point prevalence survey of antibiotic use and healthcare-associated infections in acute care hospitals: a comprehensive report from the Marche Region of Italy.

    Barbadoro, P / Dolcini, J / Fortunato, C / Mengarelli Detto Rinaldini, D / Martini, E / Gioia, M G / Mengoni, D / D'Errico, M M

    The Journal of hospital infection

    2023  Volume 141, Page(s) 80–87

    Abstract: Background: Healthcare-associated infections (HAIs) and antimicrobial resistance (AMR) are serious health challenges. Point prevalence surveys (PPSs) are valuable tools for monitoring HAIs and AMR.: Aim: To describe results of the ECDC PPS 2022 ... ...

    Abstract Background: Healthcare-associated infections (HAIs) and antimicrobial resistance (AMR) are serious health challenges. Point prevalence surveys (PPSs) are valuable tools for monitoring HAIs and AMR.
    Aim: To describe results of the ECDC PPS 2022 dealing with the prevalence of HAIs, antimicrobial consumption, and associated factors, in acute care hospitals.
    Methods: The survey was performed in November 2022 in 14 hospitals according to the protocol proposed by the European Centre for Disease Prevention and Control. Multilevel logistic regression was performed using geographical area/hospital type as cluster variable to evaluate the factors independently associated with HAIs and antibiotics.
    Findings: The point prevalence of HAIs was 7.43%. Patients hospitalized for longer periods were more likely to have an HAI as well as those aged 15-44 years, with a rapidly fatal disease, intubated, and with one or two devices. Antibiotics prevalence was 47.30%. Males, unknown McCabe scores, minimally invasive/non-National Healthcare Safety Network (NHSN) surgery, patients with HAIs, hospitals with a higher alcohol hand-rub consumption, hospitals with a greater number of IPC personnel, geriatric wards, and hospitals with 300-600 beds were more likely to be under antimicrobial therapy.
    Conclusion: This PPS provided valuable information on the prevalence of HAIs and antimicrobial consumption and variables associated. The high prevalence of HAIs highlights the need for improved infection control measures.
    MeSH term(s) Male ; Humans ; Aged ; Anti-Bacterial Agents/therapeutic use ; Prevalence ; Hospitals ; Cross Infection/drug therapy ; Cross Infection/epidemiology ; Cross Infection/prevention & control ; Anti-Infective Agents ; Italy/epidemiology ; Delivery of Health Care
    Chemical Substances Anti-Bacterial Agents ; Anti-Infective Agents
    Language English
    Publishing date 2023-08-11
    Publishing country England
    Document type Journal Article
    ZDB-ID 779366-2
    ISSN 1532-2939 ; 0195-6701
    ISSN (online) 1532-2939
    ISSN 0195-6701
    DOI 10.1016/j.jhin.2023.07.025
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  7. Article ; Online: Medium-term patient's satisfaction after primary total knee arthroplasty: enhancing prediction for improved care.

    Ulivi, Michele / Orlandini, Luca / D'Errico, Mario / Perrotta, Riccardo / Perfetti, Sofia / Ferrante, Simona / Dui, Linda Greta

    Orthopaedics & traumatology, surgery & research : OTSR

    2023  Volume 110, Issue 2, Page(s) 103734

    Abstract: Background: Patient-reported satisfaction after total knee arthroplasty (TKA) is low compared to other orthopedic procedures. Although several factors have been reported to influence TKA outcomes, it is still challenging to identify patients who will ... ...

    Abstract Background: Patient-reported satisfaction after total knee arthroplasty (TKA) is low compared to other orthopedic procedures. Although several factors have been reported to influence TKA outcomes, it is still challenging to identify patients who will experience dissatisfaction five years after surgery, thereby improving their management. Indeed, both perioperative information and follow-up questionnaires seem to lack statistical predictive power.
    Hypothesis: This study aims to demonstrate that machine learning can improve the prediction of patient satisfaction, especially when classical statistics fail to identify complex patterns that lead to dissatisfaction.
    Patients and methods: Patients who underwent primary TKA were included in a Registry that collected baseline data and clinical outcomes at different follow-ups. The patients were divided into satisfied and dissatisfied groups based on a satisfaction questionnaire administered five years after surgery. Satisfaction was predicted using linear statistical models compared to machine learning algorithms.
    Results: A total of 147 subjects were analyzed. Regarding statistics, significant differences between satisfaction levels started emerging only six months after the intervention, and the classification was close to random guessing. However, machine learning algorithms could improve the prediction by 72% soon after the intervention, and an improvement of 178% was possible when including follow-ups up to one year.
    Discussion: This study demonstrates the feasibility of a registry-based approach for monitoring and predicting satisfaction using ML algorithms.
    Level of evidence: III.
    MeSH term(s) Humans ; Arthroplasty, Replacement, Knee ; Patient Satisfaction ; Osteoarthritis, Knee/surgery ; Surveys and Questionnaires ; Registries ; Treatment Outcome ; Knee Joint/surgery
    Language English
    Publishing date 2023-10-26
    Publishing country France
    Document type Journal Article
    ISSN 1877-0568
    ISSN (online) 1877-0568
    DOI 10.1016/j.otsr.2023.103734
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  8. Article ; Online: The measurement of resilience capacities through the integration of macrolevel and microlevel indicators

    d’Errico, Marco / Jumbe, Ellestina / Constas, Mark A.

    In 2021 Annual Trends and Outlook Report: Building Resilient African Food Systems After COVID-19, eds. John M. Ulimwengu, Mark A. Constas, and Éliane Ubalijoro. Chapter 11, Pp. 171-183

    2021  

    Abstract: Resilience measurement can now be viewed as an established body of research with 15 years of empirical evidence. Across this body of work, measurement studies have typically sought to identify key elements that render some households more resilient than ... ...

    Abstract Resilience measurement can now be viewed as an established body of research with 15 years of empirical evidence. Across this body of work, measurement studies have typically sought to identify key elements that render some households more resilient than others. There is now ample literature that includes robust and solid methods (Cissé and Barrett 2018; d’Errico, Romano, and Pietrelli 2018; Knippenberg, Jensen, and Constas 2019; Smith and Frankenberger 2018), reviews of methodologies (Barrett et al. 2021), solid evidence on the impact of resilience-enhancing interventions (d’Errico et al. 2020), and evidence on the role of macro and covariate shocks (such as conflict) on resilience capacity (Brück, d’Errico, and Pietrelli 2019).

    PR

    IFPRI4; 1 Fostering Climate-Resilient and Sustainable Food Supply; 2 Promoting Healthy Diets and Nutrition for all; Feed the Future Initiative; ReSAKSS

    AFR
    Keywords AFRICA ; AFRICA SOUTH OF SAHARA ; CENTRAL AFRICA ; EAST AFRICA ; NORTH AFRICA ; SOUTHERN AFRICA ; WEST AFRICA ; measurement ; resilience ; indicators ; Coronavirus ; coronavirus disease ; Coronavirinae ; COVID-19 ; food security ; health
    Subject code 390
    Language English
    Publisher AKADEMIYA2063; International Food Policy Research Institute (IFPRI)
    Publishing country us
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  9. Article ; Online: The interplay between mitochondrial functionality and genome integrity in the prevention of human neurologic diseases.

    D'Errico, Mariarosaria / Parlanti, Eleonora / Pascucci, Barbara / Filomeni, Giuseppe / Mastroberardino, Pier Giorgio / Dogliotti, Eugenia

    Archives of biochemistry and biophysics

    2021  Volume 710, Page(s) 108977

    Abstract: As mitochondria are vulnerable to oxidative damage and represent the main source of reactive oxygen species (ROS), they are considered key tuners of ROS metabolism and buffering, whose dysfunction can progressively impact neuronal networks and disease. ... ...

    Abstract As mitochondria are vulnerable to oxidative damage and represent the main source of reactive oxygen species (ROS), they are considered key tuners of ROS metabolism and buffering, whose dysfunction can progressively impact neuronal networks and disease. Defects in DNA repair and DNA damage response (DDR) may also affect neuronal health and lead to neuropathology. A number of congenital DNA repair and DDR defective syndromes, indeed, show neurological phenotypes, and a growing body of evidence indicate that defects in the mechanisms that control genome stability in neurons acts as aging-related modifiers of common neurodegenerative diseases such as Alzheimer, Parkinson's, Huntington diseases and Amyotrophic Lateral Sclerosis. In this review we elaborate on the established principles and recent concepts supporting the hypothesis that deficiencies in either DNA repair or DDR might contribute to neurodegeneration via mechanisms involving mitochondrial dysfunction/deranged metabolism.
    MeSH term(s) DNA Damage ; DNA Repair ; DNA, Mitochondrial/genetics ; DNA, Mitochondrial/metabolism ; Genome, Human ; Genome, Mitochondrial ; Genomic Instability ; Humans ; Metabolic Networks and Pathways ; Mitochondria/genetics ; Mitochondria/metabolism ; Mitochondrial Dynamics ; Mitophagy ; Models, Neurological ; Mutation ; Neurodegenerative Diseases/genetics ; Neurodegenerative Diseases/metabolism ; Neurodegenerative Diseases/prevention & control ; Reactive Oxygen Species/metabolism
    Chemical Substances DNA, Mitochondrial ; Reactive Oxygen Species
    Language English
    Publishing date 2021-06-24
    Publishing country United States
    Document type Journal Article ; Research Support, Non-U.S. Gov't ; Review
    ZDB-ID 523-x
    ISSN 1096-0384 ; 0003-9861
    ISSN (online) 1096-0384
    ISSN 0003-9861
    DOI 10.1016/j.abb.2021.108977
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  10. Article: Household resilience to food insecurity: evidence from Tanzania and Uganda

    d’Errico, Marco / Romano, Donato / Pietrelli, Rebecca

    Food security. 2018 Aug., v. 10, no. 4

    2018  

    Abstract: Resilience—the capacity that ensures adverse stressors and shocks do not have long-lasting adverse consequences—has become a key topic in both scholarly and policy debates. More recently some international organizations have proposed the use of ... ...

    Abstract Resilience—the capacity that ensures adverse stressors and shocks do not have long-lasting adverse consequences—has become a key topic in both scholarly and policy debates. More recently some international organizations have proposed the use of resilience to analyze food and nutrition security. The objective of the paper is twofold: (i) analyze what the determinants of household resilience to food insecurity are and (ii) assess the role played by household resilience capacity on food security outcomes. The dataset employed in the analysis is a panel of three waves of household surveys recently collected in Tanzania and Uganda. First, we estimated the FAO’s Resilience Capacity Index (RCI), combining factor analysis and structural equation modeling. Then probit models were estimated to test whether the resilience is positively related to future food security outcomes and recovery capacity after a shock occurs. In both countries, the most important dimension contributing to household resilience was adaptive capacity, which in turn depended on the level of education and on the proportion of income earners to total household members. Furthermore, household resilience was significantly and positively related to future household food security status. Finally, households featuring a higher resilience capacity index were better equipped to absorb and adapt to shocks.
    Keywords Food and Agriculture Organization ; data collection ; education ; factor analysis ; food security ; household surveys ; households ; income ; issues and policy ; models ; nutrition ; structural equation modeling ; Tanzania ; Uganda
    Language English
    Dates of publication 2018-08
    Size p. 1033-1054.
    Publishing place Springer Netherlands
    Document type Article
    ZDB-ID 2486755-X
    ISSN 1876-4525 ; 1876-4517
    ISSN (online) 1876-4525
    ISSN 1876-4517
    DOI 10.1007/s12571-018-0820-5
    Database NAL-Catalogue (AGRICOLA)

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