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{"title"=>"Multimorbidity patterns in a national representative sample of the Spanish adult population", "type"=>"journal", "authors"=>[{"first_name"=>"Noe", "last_name"=>"Garin", "scopus_author_id"=>"37361248200"}, {"first_name"=>"Beatriz", "last_name"=>"Olaya", "scopus_author_id"=>"25122933900"}, {"first_name"=>"Jaime", "last_name"=>"Perales", "scopus_author_id"=>"55326453200"}, {"first_name"=>"Maria Victoria", "last_name"=>"Moneta", "scopus_author_id"=>"55752180200"}, {"first_name"=>"Marta", "last_name"=>"Miret", "scopus_author_id"=>"35079013800"}, {"first_name"=>"Jose Luis", "last_name"=>"Ayuso-Mateos", "scopus_author_id"=>"7003927709"}, {"first_name"=>"Josep Maria", "last_name"=>"Haro", "scopus_author_id"=>"34569951400"}], "year"=>2014, "source"=>"PLoS ONE", "identifiers"=>{"scopus"=>"2-s2.0-84903536683", "doi"=>"10.1371/journal.pone.0084794", "sgr"=>"84903536683", "isbn"=>"1932-6203 (Electronic) 1932-6203 (Linking)", "pmid"=>"24465433", "issn"=>"19326203", "pui"=>"372852990"}, "id"=>"0be72502-5994-3cbe-8159-115f78595182", "abstract"=>"Abstract\\r\\n\\r\\nBackground\\r\\n\\r\\nIn the context of population aging, multimorbidity has emerged as a growing concern in public health. However, little is known about multimorbidity patterns and other issues surrounding chronic diseases. The aim of our study was to examine multimorbidity patterns, the relationship between physical and mental conditions and the distribution of multimorbidity in the Spanish adult population.\\r\\n\\r\\nMethods\\r\\n\\r\\nData from this cross-sectional study was collected from the COURAGE study. A total of 4,583 participants from Spain were included, 3,625 aged over 50. An exploratory factor analysis was conducted to detect multimorbidity patterns in the population over 50 years of age. Crude and adjusted binary logistic regressions were performed to identify individual associations between physical and mental conditions.\\r\\n\\r\\nResults\\r\\n\\r\\nThree multimorbidity patterns rose: ‘cardio-respiratory’ (angina, asthma, chronic lung disease), ‘mental-arthritis’ (arthritis, depression, anxiety) and the ‘aggregated pattern’ (angina, hypertension, stroke, diabetes, cataracts, edentulism, arthritis). After adjusting for covariates, asthma, chronic lung disease, arthritis and the number of physical conditions were associated with depression. Angina and the number of physical conditions were associated with a higher risk of anxiety. With regard to multimorbidity distribution, women over 65 years suffered from the highest rate of multimorbidity (67.3%).\\r\\n\\r\\nConclusion\\r\\n\\r\\nMultimorbidity prevalence occurs in a high percentage of the Spanish population, especially in the elderly. There are specific multimorbidity patterns and individual associations between physical and mental conditions, which bring new insights into the complexity of chronic patients. There is need to implement patient-centered care which involves these interactions rather than merely paying attention to individual diseases.", "link"=>"http://www.mendeley.com/research/multimorbidity-patterns-national-representative-sample-spanish-adult-population", "reader_count"=>119, "reader_count_by_academic_status"=>{"Unspecified"=>6, "Professor > Associate Professor"=>5, "Librarian"=>1, "Researcher"=>21, "Student > Doctoral Student"=>8, "Student > Ph. D. Student"=>31, "Student > Postgraduate"=>15, "Student > Master"=>18, "Other"=>3, "Student > Bachelor"=>6, "Lecturer"=>2, "Professor"=>3}, "reader_count_by_user_role"=>{"Unspecified"=>6, "Professor > Associate Professor"=>5, "Librarian"=>1, "Researcher"=>21, "Student > Doctoral Student"=>8, "Student > Ph. D. Student"=>31, "Student > Postgraduate"=>15, "Student > Master"=>18, "Other"=>3, "Student > Bachelor"=>6, "Lecturer"=>2, "Professor"=>3}, "reader_count_by_subject_area"=>{"Unspecified"=>13, "Engineering"=>2, "Nursing and Health Professions"=>5, "Mathematics"=>2, "Medicine and Dentistry"=>61, "Agricultural and Biological Sciences"=>7, "Veterinary Science and Veterinary Medicine"=>1, "Psychology"=>8, "Social Sciences"=>18, "Computer Science"=>2}, "reader_count_by_subdiscipline"=>{"Engineering"=>{"Engineering"=>2}, "Medicine and Dentistry"=>{"Medicine and Dentistry"=>61}, "Social Sciences"=>{"Social Sciences"=>18}, "Psychology"=>{"Psychology"=>8}, "Agricultural and Biological Sciences"=>{"Agricultural and Biological Sciences"=>7}, "Computer Science"=>{"Computer Science"=>2}, "Nursing and Health Professions"=>{"Nursing and Health Professions"=>5}, "Mathematics"=>{"Mathematics"=>2}, "Unspecified"=>{"Unspecified"=>13}, "Veterinary Science and Veterinary Medicine"=>{"Veterinary Science and Veterinary Medicine"=>1}}, "reader_count_by_country"=>{"Sweden"=>1, "Korea (South)"=>1, "United States"=>3, "Brazil"=>1, "United Kingdom"=>1, "India"=>1, "Spain"=>6, "Croatia"=>1}, "group_count"=>20}

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• {"id"=>"460644768281006081", "text"=>"Multimorbidity Patterns in a National Representative Sample of the Spanish Adult Population [Plos One] http://t.co/epVnjLVrev", "created_at"=>"2014-04-28T05:00:45Z", "user"=>"ernestob", "user_name"=>"Ernesto Barrera", "user_profile_image"=>"http://pbs.twimg.com/profile_images/1458718429/medico_con_sombra_normal.png"}
• {"id"=>"460719654915567616", "text"=>"España, 20% >50 años con multimorbilidad. En >65 años, 67% en mujeres y 53% en varones. Vía @ernestob \nhttp://t.co/JMLqbnIyGw", "created_at"=>"2014-04-28T09:58:20Z", "user"=>"JuanGrvas", "user_name"=>"Juan Gérvas", "user_profile_image"=>"http://pbs.twimg.com/profile_images/2627753335/IMGP1408_normal.JPG"}
• {"id"=>"461747096207376384", "text"=>"RT @JuanGrvas: España, 20% >50 años con multimorbilidad. En >65 años, 67% en mujeres y 53% en varones. Vía @ernestob \nhttp://t.co/JMLqbnIyGw", "created_at"=>"2014-05-01T06:01:01Z", "user"=>"InfeccSoMaMFYC", "user_name"=>"Infecciosas SoMaMFYC", "user_profile_image"=>"http://pbs.twimg.com/profile_images/1140618274/bacteria-166_normal.jpg"}

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• {"files"=>["https://ndownloader.figshare.com/files/1351805"], "description"=>"<p>SE =  Standard Error.</p><p>Note =  unweighted frequencies (n), and weighted means and proportions are displayed. Household income was divided into 5 quintiles. Education category ‘no education’ included those people that had never been to school or did not finish primary school. Marital status ‘married’ category included currently married or cohabiting. Employment ‘other’ category included training, homemakers, unemployed, voluntary work, health problems, caring for family, sick leave, no need to work, temporary time off and voluntary work.</p>", "links"=>[], "tags"=>["cardiovascular", "angina", "stroke", "Endocrinology", "Diabetic endocrinology", "Diabetes mellitus type 2", "epidemiology", "Epidemiology of aging", "Disease mapping", "Lifecourse epidemiology", "geriatrics", "Global health", "Mental health", "psychiatry", "Anxiety disorders", "Mood disorders", "Non-clinical medicine", "Health care policy", "Elderly care", "Health statistics", "ophthalmology", "Cataracts and other lens disorders", "Public health", "disease ecology", "Pulmonology", "asthma", "Chronic obstructive pulmonary diseases", "rheumatology", "spanish", "cohort"], "article_id"=>904486, "categories"=>["Medicine"], "users"=>["Noe Garin", "Beatriz Olaya", "Jaime Perales", "Maria Victoria Moneta", "Marta Miret", "José Luis Ayuso-Mateos", "Josep Maria Haro"], "doi"=>["https://dx.doi.org/10.1371/journal.pone.0084794.t001"], "stats"=>{"downloads"=>0, "page_views"=>0, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Description_of_the_sample_of_the_Spanish_Cohort_of_the_COURAGE_study_/904486", "title"=>"Description of the sample of the Spanish Cohort of the COURAGE study.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2014-01-20 03:30:26"}
• {"files"=>["https://ndownloader.figshare.com/files/1351806"], "description"=>"<p>CI =  Confident interval. Note =  Weighted proportion and 95% Confident Intervals are shown. Anxiety included Generalised Anxiety Disorder and Panic Disorder. Multimorbility is defined as the presence of ≥ 2 physical or mental conditions. p(age) refers to statistical differences in the three groups of age; p(sex) refers to differences in gender, regardless the age group.</p>", "links"=>[], "tags"=>["cardiovascular", "angina", "stroke", "Endocrinology", "Diabetic endocrinology", "Diabetes mellitus type 2", "epidemiology", "Epidemiology of aging", "Disease mapping", "Lifecourse epidemiology", "geriatrics", "Global health", "Mental health", "psychiatry", "Anxiety disorders", "Mood disorders", "Non-clinical medicine", "Health care policy", "Elderly care", "Health statistics", "ophthalmology", "Cataracts and other lens disorders", "Public health", "disease ecology", "Pulmonology", "asthma", "Chronic obstructive pulmonary diseases", "rheumatology", "12-month", "disorders", "multimorbidity"], "article_id"=>904487, "categories"=>["Medicine"], "users"=>["Noe Garin", "Beatriz Olaya", "Jaime Perales", "Maria Victoria Moneta", "Marta Miret", "José Luis Ayuso-Mateos", "Josep Maria Haro"], "doi"=>["https://dx.doi.org/10.1371/journal.pone.0084794.t002"], "stats"=>{"downloads"=>0, "page_views"=>0, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Prevalence_of_12_month_physical_conditions_mental_disorders_and_multimorbidity_according_to_age_and_gender_/904487", "title"=>"Prevalence of 12-month physical conditions, mental disorders and multimorbidity according to age and gender.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2014-01-20 03:30:26"}
• {"files"=>["https://ndownloader.figshare.com/files/1351807"], "description"=>"<p>CI =  Confident interval. Note =  Weighted proportion and 95% Confident Intervals are shown.</p>", "links"=>[], "tags"=>["cardiovascular", "angina", "stroke", "Endocrinology", "Diabetic endocrinology", "Diabetes mellitus type 2", "epidemiology", "Epidemiology of aging", "Disease mapping", "Lifecourse epidemiology", "geriatrics", "Global health", "Mental health", "psychiatry", "Anxiety disorders", "Mood disorders", "Non-clinical medicine", "Health care policy", "Elderly care", "Health statistics", "ophthalmology", "Cataracts and other lens disorders", "Public health", "disease ecology", "Pulmonology", "asthma", "Chronic obstructive pulmonary diseases", "rheumatology"], "article_id"=>904488, "categories"=>["Medicine"], "users"=>["Noe Garin", "Beatriz Olaya", "Jaime Perales", "Maria Victoria Moneta", "Marta Miret", "José Luis Ayuso-Mateos", "Josep Maria Haro"], "doi"=>["https://dx.doi.org/10.1371/journal.pone.0084794.t003"], "stats"=>{"downloads"=>0, "page_views"=>0, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Number_of_total_physical_and_mental_conditions_according_to_age_and_gender_/904488", "title"=>"Number of total, physical and mental conditions according to age and gender.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2014-01-20 03:30:26"}
• {"files"=>["https://ndownloader.figshare.com/files/1351808"], "description"=>"<p>Factor 1 (cardio-respiratory); Factor 2 (mental-arthritis); Factor 3 (aggregate pattern).</p><p>Note =  Factor scores ≥0.25 are highlighted.</p>", "links"=>[], "tags"=>["cardiovascular", "angina", "stroke", "Endocrinology", "Diabetic endocrinology", "Diabetes mellitus type 2", "epidemiology", "Epidemiology of aging", "Disease mapping", "Lifecourse epidemiology", "geriatrics", "Global health", "Mental health", "psychiatry", "Anxiety disorders", "Mood disorders", "Non-clinical medicine", "Health care policy", "Elderly care", "Health statistics", "ophthalmology", "Cataracts and other lens disorders", "Public health", "disease ecology", "Pulmonology", "asthma", "Chronic obstructive pulmonary diseases", "rheumatology", "50"], "article_id"=>904489, "categories"=>["Medicine"], "users"=>["Noe Garin", "Beatriz Olaya", "Jaime Perales", "Maria Victoria Moneta", "Marta Miret", "José Luis Ayuso-Mateos", "Josep Maria Haro"], "doi"=>["https://dx.doi.org/10.1371/journal.pone.0084794.t004"], "stats"=>{"downloads"=>0, "page_views"=>0, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Factor_score_for_each_condition_in_participants_over_50_years_/904489", "title"=>"Factor score for each condition in participants over 50 years.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2014-01-20 03:30:26"}
• {"files"=>["https://ndownloader.figshare.com/files/1351809"], "description"=>"<p>OR =  Odds Ratio; 95%CI =  Confident interval; AOR = Adjusted Odds Ratio; in bold, statistically significant (p<0.05).</p><p>Note = Adjusted models included age, gender, education level, marital status, urban pattern and number of physical conditions.</p>", "links"=>[], "tags"=>["cardiovascular", "angina", "stroke", "Endocrinology", "Diabetic endocrinology", "Diabetes mellitus type 2", "epidemiology", "Epidemiology of aging", "Disease mapping", "Lifecourse epidemiology", "geriatrics", "Global health", "Mental health", "psychiatry", "Anxiety disorders", "Mood disorders", "Non-clinical medicine", "Health care policy", "Elderly care", "Health statistics", "ophthalmology", "Cataracts and other lens disorders", "Public health", "disease ecology", "Pulmonology", "asthma", "Chronic obstructive pulmonary diseases", "rheumatology", "regression"], "article_id"=>904490, "categories"=>["Medicine"], "users"=>["Noe Garin", "Beatriz Olaya", "Jaime Perales", "Maria Victoria Moneta", "Marta Miret", "José Luis Ayuso-Mateos", "Josep Maria Haro"], "doi"=>["https://dx.doi.org/10.1371/journal.pone.0084794.t005"], "stats"=>{"downloads"=>0, "page_views"=>0, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Logistic_regression_models_to_predict_mental_conditions_/904490", "title"=>"Logistic regression models to predict mental conditions.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2014-01-20 03:30:26"}

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Relative Metric

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F1000Prime