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            "title": "The effects of a 12-week combined strength and endurance training program on physical performance of patients with type 2 diabetes",
            "creators": [
                {
                    "creatorType": "author",
                    "firstName": "Isabella",
                    "lastName": "Rogon"
                },
                {
                    "creatorType": "author",
                    "firstName": "Zbigniew",
                    "lastName": "Kasprzak"
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                    "creatorType": "author",
                    "firstName": "Carsten",
                    "lastName": "Juhl"
                },
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                    "creatorType": "author",
                    "firstName": "Pernille",
                    "lastName": "Mensberg"
                },
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                    "creatorType": "author",
                    "firstName": "Tina",
                    "lastName": "Vilsbøll"
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                    "creatorType": "author",
                    "firstName": "Łucja",
                    "lastName": "Pilaczyńska-Szcześniak"
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            ],
            "abstractNote": "Introduction. Physical training is considered an effective means of preventing and treating diseases of affluence such as T2DM. The key benefits of this therapy include improvements in physical performance and in metabolic processes. Aim of Study. The aim of this study was to investigate the impact of a 12-week long supervised combined strength and endurance training program on physical performance of T2DM patients with various complications. Material and Methods. The study was carried out on patients stratified into Groups (levels) 2 and 3 according to the criteria from the 2007 Danish program \"Forløbsprogram for Type 2 Diabetes\" (see Table 1). A total of 83 patients (29 women, 54 men) participated in the study, aged 65.5 ± 10.62 years. The subjects were offered 60 minutes of supervised group exercise, twice a week for 12 weeks. Each session consisted of a 5-min warm-up, 35-min strength exercise, and 10-min aerobic bicycling, with a load between 12 and 15 on the Borg Scale. Physical performance was measured using a 30-second sit-to-stand test (STS) and 6-minute-walk test (6MWT). Results. A significant improvement in STS was noted in Group 2 (mean = 1.6 ± 2.39; 95% CI 0.92-2.3) and in Group 3 (mean = 1.46 ± 2.14; 95% CI 0.74-2.17). Statistically significant (p <0.0001) 6MWT results were obtained in Group 2 (mean = 46.7 ± 54.08; (95% CI 30-63) and in Group 3 (mean = 46.2 ± 79.51; 95% CI 12-79). Participation in training sessions played a paramount role in improving the effectiveness of combined strength and endurance training. Conclusion. Participation in a 12-week exercise program increased physical performance in patients with type 2 diabetes, regardless of their complication status. ABSTRACT FROM AUTHOR",
            "publicationTitle": "Trends in Sport Sciences",
            "publisher": "",
            "place": "",
            "date": "Abril 2015",
            "volume": "22",
            "issue": "2",
            "section": "",
            "partNumber": "",
            "partTitle": "",
            "pages": "77-82",
            "series": "",
            "seriesTitle": "",
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            "journalAbbreviation": "Trends in Sport Sciences",
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            "accessDate": "2015-11-10T12:14:52Z",
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            "ISSN": "22999590",
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            "tags": [
                {
                    "tag": "*ENDURANCE sports",
                    "type": 1
                },
                {
                    "tag": "*NON-insulin-dependent diabetes",
                    "type": 1
                },
                {
                    "tag": "*PHYSICAL training & conditioning",
                    "type": 1
                },
                {
                    "tag": "OCCUPATIONAL therapist & patient",
                    "type": 1
                },
                {
                    "tag": "SPECIAL health problems",
                    "type": 1
                },
                {
                    "tag": "physical function",
                    "type": 1
                },
                {
                    "tag": "physical training",
                    "type": 1
                },
                {
                    "tag": "risk stratiication",
                    "type": 1
                },
                {
                    "tag": "type 2 diabetes",
                    "type": 1
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            ],
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            "dateAdded": "2015-11-10T12:30:29Z",
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        "version": 2,
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            },
            "creatorSummary": "Mårtensson et al.",
            "parsedDate": "2014",
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        },
        "data": {
            "key": "QARMVIUS",
            "version": 2,
            "itemType": "journalArticle",
            "title": "High Training Volumes are Associated with a Low Number of Self-Reported Sick Days in Elite Endurance Athletes",
            "creators": [
                {
                    "creatorType": "author",
                    "firstName": "Sandra",
                    "lastName": "Mårtensson"
                },
                {
                    "creatorType": "author",
                    "firstName": "Kristina",
                    "lastName": "Nordebo"
                },
                {
                    "creatorType": "author",
                    "firstName": "Christer",
                    "lastName": "Malm"
                }
            ],
            "abstractNote": "It has been proposed that high exercise loads increase the risk of infection, most frequently reported as upper respiratory tract infections, by suppressing the immune system. Most athletes will not train when experiencing sickness due to the fear of health complications. However, high training volumes are incompatible with high rates of non-training days, regardless of the cause. The purpose of this observational study was to examine the relationship between self-reported, exercise-constraining days of sickness (days when the athlete decided not to train due to symptoms of disease, either self-reported or by a physician) and the volumes of exercise training in elite endurance athletes by analyzing data from training logs kept for several years. The subjects included 11 elite endurance athletes (8 male, 3 female) competing at national and international levels in cross-country skiing, biathlon and long-distance running. Training logs available from these 11 subjects added to a total of 61 training years. The number of training hours per year (462, 79-856; median, range) was significantly and negatively correlated to the reported number of days not training due to sickness (15, 0-164) by a 3rd degree polynomial regression (R2 = 0.48, F ratio = 18, p < 0.0001). We conclude that elite endurance athletes can achieve high training volumes only if they also experience few sickdays.",
            "publicationTitle": "Journal of Sports Science & Medicine",
            "publisher": "",
            "place": "",
            "date": "Diciembre 2014",
            "volume": "13",
            "issue": "4",
            "section": "",
            "partNumber": "",
            "partTitle": "",
            "pages": "929-933 5p",
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            "journalAbbreviation": "Journal of Sports Science & Medicine",
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            "url": "http://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=103918710&site=ehost-live",
            "accessDate": "2015-11-10T12:14:52Z",
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            "ISSN": "1303-2968",
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            "libraryCatalog": "EBSCOhost",
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            "extra": "",
            "tags": [
                {
                    "tag": "Absenteeism",
                    "type": 1
                },
                {
                    "tag": "Adolescence",
                    "type": 1
                },
                {
                    "tag": "Athletes, Elite",
                    "type": 1
                },
                {
                    "tag": "Athletic Training Programs",
                    "type": 1
                },
                {
                    "tag": "Confidence Intervals",
                    "type": 1
                },
                {
                    "tag": "Data Analysis Software",
                    "type": 1
                },
                {
                    "tag": "Descriptive Statistics",
                    "type": 1
                },
                {
                    "tag": "Diaries",
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                },
                {
                    "tag": "Effect Size",
                    "type": 1
                },
                {
                    "tag": "Endurance Sports",
                    "type": 1
                },
                {
                    "tag": "Female",
                    "type": 1
                },
                {
                    "tag": "Goodness of Fit Chi Square Test",
                    "type": 1
                },
                {
                    "tag": "Human",
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                {
                    "tag": "Kruskal-Wallis Test",
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                {
                    "tag": "Male",
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                {
                    "tag": "P-Value",
                    "type": 1
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                {
                    "tag": "Prospective Studies",
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                {
                    "tag": "Regression",
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                {
                    "tag": "Self Report",
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                {
                    "tag": "Young Adult",
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            "dateAdded": "2015-11-10T12:27:53Z",
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