The influence of age, gender and socio-economic status on multimorbidity patterns in primary care. First results from the multicare cohort study.

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The influence of age, gender and socio-economic status on multimorbidity patterns in primary care. First results from the multicare cohort study. / Schäfer, Ingmar; Hansen, Heike; Schön, Gerhard; Höfels, Susanne; Altiner, Attila; Dahlhaus, Anne; Gensichen, Jochen; Riedel-Heller, Steffi; Weyerer, Siegfried; Blank, Wolfgang A; König, Hans-Helmut; von dem Knesebeck, Olaf; Wegscheider, Karl; Scherer, Martin; Bussche van den, Hendrik; Wiese, Birgitt.

in: BMC HEALTH SERV RES, Jahrgang 12, 2012, S. 89.

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@article{e5d61369aa8f4f3ca1fe7ad47831e759,
title = "The influence of age, gender and socio-economic status on multimorbidity patterns in primary care. First results from the multicare cohort study.",
abstract = "Multimorbidity is a phenomenon with high burden and high prevalence in the elderly. Our previous research has shown that multimorbidity can be divided into the multimorbidity patterns of 1) anxiety, depression, somatoform disorders (ADS) and pain, and 2) cardiovascular and metabolic disorders. However, it is not yet known, how these patterns are influenced by patient characteristics. The objective of this paper is to analyze the association of socio-demographic variables, and especially socio-economic status with multimorbidity in general and with each multimorbidity pattern.",
keywords = "Humans, Male, Aged, Female, Aged, 80 and over, Risk Factors, Quality of Life, Questionnaires, Prospective Studies, Sex Factors, Cohort Studies, Age Factors, Prevalence, Family Practice, Germany/epidemiology, International Classification of Diseases, *Health Knowledge, Attitudes, Practice, Chronic Disease/*epidemiology, Comorbidity/trends, Diagnosis-Related Groups/statistics & numerical data, *Primary Health Care/economics/standards, *Social Class, Humans, Male, Aged, Female, Aged, 80 and over, Risk Factors, Quality of Life, Questionnaires, Prospective Studies, Sex Factors, Cohort Studies, Age Factors, Prevalence, Family Practice, Germany/epidemiology, International Classification of Diseases, *Health Knowledge, Attitudes, Practice, Chronic Disease/*epidemiology, Comorbidity/trends, Diagnosis-Related Groups/statistics & numerical data, *Primary Health Care/economics/standards, *Social Class",
author = "Ingmar Sch{\"a}fer and Heike Hansen and Gerhard Sch{\"o}n and Susanne H{\"o}fels and Attila Altiner and Anne Dahlhaus and Jochen Gensichen and Steffi Riedel-Heller and Siegfried Weyerer and Blank, {Wolfgang A} and Hans-Helmut K{\"o}nig and {von dem Knesebeck}, Olaf and Karl Wegscheider and Martin Scherer and {Bussche van den}, Hendrik and Birgitt Wiese",
year = "2012",
doi = "10.1186/1472-6963-12-89",
language = "English",
volume = "12",
pages = "89",
journal = "BMC HEALTH SERV RES",
issn = "1472-6963",
publisher = "BioMed Central Ltd.",

}

RIS

TY - JOUR

T1 - The influence of age, gender and socio-economic status on multimorbidity patterns in primary care. First results from the multicare cohort study.

AU - Schäfer, Ingmar

AU - Hansen, Heike

AU - Schön, Gerhard

AU - Höfels, Susanne

AU - Altiner, Attila

AU - Dahlhaus, Anne

AU - Gensichen, Jochen

AU - Riedel-Heller, Steffi

AU - Weyerer, Siegfried

AU - Blank, Wolfgang A

AU - König, Hans-Helmut

AU - von dem Knesebeck, Olaf

AU - Wegscheider, Karl

AU - Scherer, Martin

AU - Bussche van den, Hendrik

AU - Wiese, Birgitt

PY - 2012

Y1 - 2012

N2 - Multimorbidity is a phenomenon with high burden and high prevalence in the elderly. Our previous research has shown that multimorbidity can be divided into the multimorbidity patterns of 1) anxiety, depression, somatoform disorders (ADS) and pain, and 2) cardiovascular and metabolic disorders. However, it is not yet known, how these patterns are influenced by patient characteristics. The objective of this paper is to analyze the association of socio-demographic variables, and especially socio-economic status with multimorbidity in general and with each multimorbidity pattern.

AB - Multimorbidity is a phenomenon with high burden and high prevalence in the elderly. Our previous research has shown that multimorbidity can be divided into the multimorbidity patterns of 1) anxiety, depression, somatoform disorders (ADS) and pain, and 2) cardiovascular and metabolic disorders. However, it is not yet known, how these patterns are influenced by patient characteristics. The objective of this paper is to analyze the association of socio-demographic variables, and especially socio-economic status with multimorbidity in general and with each multimorbidity pattern.

KW - Humans

KW - Male

KW - Aged

KW - Female

KW - Aged, 80 and over

KW - Risk Factors

KW - Quality of Life

KW - Questionnaires

KW - Prospective Studies

KW - Sex Factors

KW - Cohort Studies

KW - Age Factors

KW - Prevalence

KW - Family Practice

KW - Germany/epidemiology

KW - International Classification of Diseases

KW - Health Knowledge, Attitudes, Practice

KW - Chronic Disease/epidemiology

KW - Comorbidity/trends

KW - Diagnosis-Related Groups/statistics & numerical data

KW - Primary Health Care/economics/standards

KW - Social Class

KW - Humans

KW - Male

KW - Aged

KW - Female

KW - Aged, 80 and over

KW - Risk Factors

KW - Quality of Life

KW - Questionnaires

KW - Prospective Studies

KW - Sex Factors

KW - Cohort Studies

KW - Age Factors

KW - Prevalence

KW - Family Practice

KW - Germany/epidemiology

KW - International Classification of Diseases

KW - Health Knowledge, Attitudes, Practice

KW - Chronic Disease/epidemiology

KW - Comorbidity/trends

KW - Diagnosis-Related Groups/statistics & numerical data

KW - Primary Health Care/economics/standards

KW - Social Class

U2 - 10.1186/1472-6963-12-89

DO - 10.1186/1472-6963-12-89

M3 - SCORING: Journal article

VL - 12

SP - 89

JO - BMC HEALTH SERV RES

JF - BMC HEALTH SERV RES

SN - 1472-6963

ER -