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      Predicting return to work after acute myocardial infarction: Socio-occupational factors overcome clinical conditions

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          Abstract

          Objectives

          Return to work after acute myocardial infarction (AMI), a leading cause of death globally, is a multidimensional process influenced by clinical, psychological, social and occupational factors, the single impact of which, however, is still not well defined. The objective of this study was to investigate these 4 factors on return to work (RTW) within 365 days after AMI in a homogeneous cohort of patients who had undergone an urgent coronary angioplasty.

          Participants

          We studied 102 patients, in employment at the time of AMI (88.24% of men), admitted to the Department of Cardiology of the University-Hospital of Ferrara between March 2015 to December 2016. Demographical and clinical characteristics were obtained from the cardiological records. After completing an interview on social and occupational variables and the Hospital Anxiety and Depression (HADS) questionnaire, patients underwent exercise capacity measurement and spirometry.

          Results

          Of the 102 patients, only 12 (12.76%) held a university degree, 68.63% were employees and 31.37% self-employed. The median number of sick-leave days was 44 (IQR 33–88). At day 30, 78.5% of all subjects had not returned to work, at day 60, 40.8% and at day 365 only 7.3% had not resumed working. At univariate analyses, educational degree (p = 0.026), self-employment status (p = 0.0005), white collar professional category (p = 0.020) and HADS depression score were significant for earlier return to work. The multivariate analysis confirms that having a university degree, being self-employed and presenting a lower value of HADS depression score increase the probability of a quicker return to work.

          Conclusions

          These findings suggest that the strongest predictors of returning to work within 1 year after discharge for an acute myocardial infarction are related more to socio-occupational than to clinical parameters.

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          Most cited references20

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          Gender differences in coronary heart disease.

          Cardiovascular disease develops 7 to 10 years later in women than in men and is still the major cause of death in women. The risk of heart disease in women is often underestimated due to the misperception that females are 'protected' against cardiovascular disease. The under-recognition of heart disease and differences in clinical presentation in women lead to less aggressive treatment strategies and a lower representation of women in clinical trials. Furthermore, self-awareness in women and identification of their cardiovascular risk factors needs more attention, which should result in a better prevention of cardiovascular events. In this review we summarise the major issues that are important in the diagnosis and treatment of coronary heart disease in women. (Neth Heart J 2010;18:598-603.).
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            Detecting psychological distress in cancer patients: validity of the Italian version of the Hospital Anxiety and Depression Scale.

            The psychometric properties of the Italian version of the Hospital Anxiety and Depression Scale and its utility as a screening instrument for anxiety and depression in a non-psychiatric setting were evaluated. The questionnaire was administered twice to 197 breast cancer patients randomised in a phase III adjuvant clinical trial: before the start of chemotherapy and at the first follow-up visit. The presence of psychiatric disorders was evaluated at the follow-up visit using the Structured Clinical Interview for DSM-III-R in 132 patients. Factor analyses identified two strictly correlated factors. Crohnbach's alpha for the anxiety and depression scales ranged between 0.80 and 0.85. At follow-up, 50 patients (38%) were assigned a current DSM-III-R diagnosis, in most cases adjustment disorders (24%) or major depressive disorder (10%). Receiver operating characteristics (ROC) analysis was used to test the discriminant validity for both anxiety and depressive disorders. The comparison of the areas under the curve (AUC) between the two scales did not show any difference in identifying either anxiety (P = 0.855) or depressive disorders (P = 0.357). The 14-item total scale showed a high internal consistency (alpha = 0.89 and 0.88) and a high discriminating power for all the psychiatric disorders (AUC = 0.89; 95% CI = 0.83-0.94). The cut-off point that maximised sensitivity (84%) and specificity (79%) was 10. These results suggest that the total score is a valid measure of emotional distress, so that the Italian version of HADS can be used as a screening questionnaire for psychiatric disorders. The use of the two subscales as a 'case identifier' or as an outcome measure should be considered with caution.
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              An evaluation of the 30-s chair stand test in older adults: frailty detection based on kinematic parameters from a single inertial unit

              Background A growing interest in frailty syndrome exists because it is regarded as a major predictor of co-morbidities and mortality in older populations. Nevertheless, frailty assessment has been controversial, particularly when identifying this syndrome in a community setting. Performance tests such as the 30-second chair stand test (30-s CST) are a cornerstone for detecting early declines in functional independence. Additionally, recent advances in body-fixed sensors have enhanced the sensors’ ability to automatically and accurately evaluate kinematic parameters related to a specific movement performance. The purpose of this study is to use this new technology to obtain kinematic parameters that can identify frailty in an aged population through the performance the 30-s CST. Methods Eighteen adults with a mean age of 54 years, as well as sixteen pre-frail and thirteen frail patients with mean ages of 78 and 85 years, respectively, performed the 30-s CST while threir trunk movements were measured by a sensor-unit at vertebra L3. Sit-stand-sit cycles were determined using both acceleration and orientation information to detect failed attempts. Movement-related phases (i.e. impulse, stand-up, and sit-down) were differentiated based on seat off and seat on events. Finally, the kinematic parameters of the impulse, stand-up and sit-down phases were obtained to identify potential differences across the three frailty groups. Results For the stand-up and sit-down phases, velocity peaks and “modified impulse” parameters clearly differentiated subjects with different frailty levels (p < 0.001). The trunk orientation range during the impulse phase was also able to classify a subject according to his frail syndrome (p < 0.001). Furthermore, these parameters derived from the inertial units (IUs) are sensitive enough to detect frailty differences not registered by the number of completed cycles which is the standard test outcome. Conclusions This study shows that IUs can enhance the information gained from tests currently used in clinical practice, such as the 30-s CST. Parameters such as velocity peaks, impulse, and orientation range are able to differentiate between adults and older populations with different frailty levels. This study indicates that early frailty detection could be possible in clinical environments, and the subsequent interventions to correct these disabilities could be prescribed before further degradation occurs.
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                Author and article information

                Contributors
                Role: Data curationRole: MethodologyRole: Writing – original draft
                Role: Data curationRole: Investigation
                Role: Data curationRole: Writing – original draft
                Role: Formal analysis
                Role: Formal analysis
                Role: Methodology
                Role: Supervision
                Role: Supervision
                Role: ConceptualizationRole: Data curationRole: SupervisionRole: Writing – original draft
                Role: Editor
                Journal
                PLoS One
                PLoS ONE
                plos
                plosone
                PLoS ONE
                Public Library of Science (San Francisco, CA USA )
                1932-6203
                13 December 2018
                2018
                : 13
                : 12
                : e0208842
                Affiliations
                [1 ] Department of Medical Sciences, University of Ferrara, Ferrara, Italy
                [2 ] Department of Statistical Sciences "Paolo Fortunati", University of Bologna, Bologna, Italy
                [3 ] Department of Prevention and Protection, University-Hospital and Public Health Service of Ferrara, Ferrara, Italy
                [4 ] Cardiology Unit, University-Hospital of Ferrara, Cona, Ferrara and Maria Cecilia Hospital, GVM Care & Research, E.S: Health Science Foundation, Cotignola, Ravenna, Italy
                Azienda Ospedaliero Universitaria Careggi, ITALY
                Author notes

                Competing Interests: The authors have declared that no competing interests exist.

                Author information
                http://orcid.org/0000-0003-3889-1681
                Article
                PONE-D-18-23530
                10.1371/journal.pone.0208842
                6292571
                30543689
                f7f6d250-12a8-4088-b992-0d9b5948d8f1
                © 2018 Stendardo et al

                This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                History
                : 9 August 2018
                : 25 November 2018
                Page count
                Figures: 1, Tables: 5, Pages: 11
                Funding
                The authors received no specific funding for this work.
                Categories
                Research Article
                Medicine and Health Sciences
                Cardiology
                Myocardial Infarction
                Social Sciences
                Economics
                Labor Economics
                Employment
                Medicine and Health Sciences
                Mental Health and Psychiatry
                Mood Disorders
                Depression
                Medicine and Health Sciences
                Public and Occupational Health
                Physical Activity
                Physical Fitness
                Exercise
                Medicine and Health Sciences
                Sports and Exercise Medicine
                Exercise
                Biology and Life Sciences
                Sports Science
                Sports and Exercise Medicine
                Exercise
                Medicine and Health Sciences
                Surgical and Invasive Medical Procedures
                Cardiovascular Procedures
                Angioplasty
                Coronary Angioplasty
                Social Sciences
                Sociology
                Education
                Educational Attainment
                Social Sciences
                Economics
                Labor Economics
                Employment
                Jobs
                Medicine and Health Sciences
                Rehabilitation Medicine
                Cardiac Rehabilitation
                Custom metadata
                All relevant data are within the manuscript and its Supporting Information files.

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