Personality, Socio-Economic Status and Inflammation: Cross-Sectional, Population-Based Study
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{"title"=>"Personality, Socio-Economic Status and Inflammation: Cross-Sectional, Population-Based Study", "type"=>"journal", "authors"=>[{"first_name"=>"Keith", "last_name"=>"Millar", "scopus_author_id"=>"7005556941"}, {"first_name"=>"Suzanne M.", "last_name"=>"Lloyd", "scopus_author_id"=>"37100059700"}, {"first_name"=>"Jennifer S.", "last_name"=>"McLean", "scopus_author_id"=>"36090046600"}, {"first_name"=>"G. David", "last_name"=>"Batty", "scopus_author_id"=>"7003988354"}, {"first_name"=>"Harry", "last_name"=>"Burns", "scopus_author_id"=>"55400452800"}, {"first_name"=>"Jonathan", "last_name"=>"Cavanagh", "scopus_author_id"=>"35597404500"}, {"first_name"=>"Kevin A.", "last_name"=>"Deans", "scopus_author_id"=>"12794242800"}, {"first_name"=>"Ian", "last_name"=>"Ford", "scopus_author_id"=>"7006691891"}, {"first_name"=>"Alex", "last_name"=>"McConnachie", "scopus_author_id"=>"6701526254"}, {"first_name"=>"Agnes", "last_name"=>"McGinty", "scopus_author_id"=>"24329723500"}, {"first_name"=>"Réne", "last_name"=>"Mõttus", "scopus_author_id"=>"14023281800"}, {"first_name"=>"Chris J.", "last_name"=>"Packard", "scopus_author_id"=>"7103089573"}, {"first_name"=>"Naveed", "last_name"=>"Sattar", "scopus_author_id"=>"7007043802"}, {"first_name"=>"Paul G.", "last_name"=>"Shiels", "scopus_author_id"=>"6603960035"}, {"first_name"=>"Yoga N.", "last_name"=>"Velupillai", "scopus_author_id"=>"24315047900"}, {"first_name"=>"Carol", "last_name"=>"Tannahill", "scopus_author_id"=>"6603426510"}], "year"=>2013, "source"=>"PLoS ONE", "identifiers"=>{"scopus"=>"2-s2.0-84874879611", "sgr"=>"84874879611", "issn"=>"19326203", "doi"=>"10.1371/journal.pone.0058256", "pmid"=>"23516457", "isbn"=>"1932-6203 (Electronic)\\n1932-6203 (Linking)", "pui"=>"368518479"}, "id"=>"69de994e-b3bd-3a11-8622-a891b21c3990", "abstract"=>"BACKGROUND: Associations between socio-economic status (SES), personality and inflammation were examined to determine whether low SES subjects scoring high on neuroticism or hostility might suffer relatively higher levels of inflammation than affluent subjects.\\n\\nMETHODS: In a cross-sectional design, 666 subjects were recruited from areas of high (most deprived - \"MD\") and low (least deprived - \"LD\") deprivation. IL-6, ICAM-1, CRP and fibrinogen were measured along with demographic and health-behaviour variables, and personality traits of neuroticism, extraversion and psychoticism (hostility). Regression models assessed the prediction of inflammation as a function of personality, deprivation and their interaction.\\n\\nRESULTS: Levels of CRP and IL-6 were an increasing function of neuroticism and extraversion only in LD subjects opposite trends were seen in MD subjects. The result was ascribed parsimoniously to an inflammatory ceiling effect or, more speculatively, to SES-related health-behaviour differences. Psychoticism was strongly associated with ICAM-1 in both MD and LD subjects.\\n\\nCONCLUSIONS: The association between neuroticism, CRP and IL-6 may be reduced in MD subjects confirming speculation that the association differs across population sub-groups. The association between psychoticism and ICAM-1 supports evidence that hostility has adverse effects upon the endothelium, with consequences for cardiovascular health. Health interventions may be more effective by accounting for personality-related effects upon biological processes.", "link"=>"http://www.mendeley.com/research/personality-socioeconomic-status-inflammation-crosssectional-populationbased-study", "reader_count"=>40, "reader_count_by_academic_status"=>{"Unspecified"=>3, "Researcher"=>9, "Student > Doctoral Student"=>3, "Student > Ph. D. Student"=>10, "Student > Postgraduate"=>3, "Student > Master"=>6, "Other"=>3, "Student > Bachelor"=>1, "Lecturer > Senior Lecturer"=>1, "Professor"=>1}, "reader_count_by_user_role"=>{"Unspecified"=>3, "Researcher"=>9, "Student > Doctoral Student"=>3, "Student > Ph. D. Student"=>10, "Student > Postgraduate"=>3, "Student > Master"=>6, "Other"=>3, "Student > Bachelor"=>1, "Lecturer > Senior Lecturer"=>1, "Professor"=>1}, "reader_count_by_subject_area"=>{"Engineering"=>1, "Unspecified"=>4, "Nursing and Health Professions"=>2, "Medicine and Dentistry"=>11, "Agricultural and Biological Sciences"=>5, "Neuroscience"=>2, "Sports and Recreations"=>2, "Psychology"=>9, "Social Sciences"=>3, "Economics, Econometrics and Finance"=>1}, "reader_count_by_subdiscipline"=>{"Engineering"=>{"Engineering"=>1}, "Medicine and Dentistry"=>{"Medicine and Dentistry"=>11}, "Neuroscience"=>{"Neuroscience"=>2}, "Social Sciences"=>{"Social Sciences"=>3}, "Sports and Recreations"=>{"Sports and Recreations"=>2}, "Psychology"=>{"Psychology"=>9}, "Economics, Econometrics and Finance"=>{"Economics, Econometrics and Finance"=>1}, "Agricultural and Biological Sciences"=>{"Agricultural and Biological Sciences"=>5}, "Nursing and Health Professions"=>{"Nursing and Health Professions"=>2}, "Unspecified"=>{"Unspecified"=>4}}, "reader_count_by_country"=>{"Netherlands"=>1, "Germany"=>1}, "group_count"=>1}

Scopus | Further Information

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  • {"files"=>["https://ndownloader.figshare.com/files/1012514"], "description"=>"a<p>BMI (body mass index).</p>b<p>Depression = depression sub-scale of GHQ-28.</p>c<p>NART (National Adult Reading Test).</p>", "links"=>[], "tags"=>["behaviours", "affluent", "deprived"], "article_id"=>672909, "categories"=>["Cell Biology", "Biochemistry", "Mental Health", "Biotechnology", "Immunology", "Medicine"], "users"=>["Keith Millar", "Suzanne M. Lloyd", "Jennifer S. McLean", "G. David Batty", "Harry Burns", "Jonathan Cavanagh", "Kevin A. Deans", "Ian Ford", "Alex McConnachie", "Agnes McGinty", "Réne Mõttus", "Chris J. Packard", "Naveed Sattar", "Paul G. Shiels", "Yoga N. Velupillai", "Carol Tannahill"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0058256.t003", "stats"=>{"downloads"=>1, "page_views"=>8, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Associations_between_personality_traits_and_health_behaviours_in_affluent_and_deprived_groups_and_their_interactions_/672909", "title"=>"Associations between personality traits and health behaviours in affluent and deprived groups, and their interactions.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2013-03-13 00:48:29"}
  • {"files"=>["https://ndownloader.figshare.com/files/1012478"], "description"=>"<p>The outcome of initial univariate analysis shows associations between inflammatory marker and independent variables including the interactions of neuroticism (N), extraversion (E) and psychoticism (P) with deprivation status. Multivariate model determined by backward stepwise regression.</p>a<p>BMI (body mass index).</p>b<p>Depression = depression sub-scale of GHQ-28.</p>c<p>NART (National Adult Reading Test).</p>", "links"=>[], "tags"=>["multivariate", "associations", "inflammatory", "markers", "health-related", "deprivation"], "article_id"=>672878, "categories"=>["Cell Biology", "Biochemistry", "Mental Health", "Biotechnology", "Immunology", "Medicine"], "users"=>["Keith Millar", "Suzanne M. Lloyd", "Jennifer S. McLean", "G. David Batty", "Harry Burns", "Jonathan Cavanagh", "Kevin A. Deans", "Ian Ford", "Alex McConnachie", "Agnes McGinty", "Réne Mõttus", "Chris J. Packard", "Naveed Sattar", "Paul G. Shiels", "Yoga N. Velupillai", "Carol Tannahill"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0058256.t002", "stats"=>{"downloads"=>1, "page_views"=>10, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Univariate_and_multivariate_associations_between_inflammatory_markers_and_health_related_variables_personality_traits_and_deprivation_grouping_and_the_interaction_of_personality_and_deprivation_/672878", "title"=>"Univariate and multivariate associations between inflammatory markers and health-related variables, personality traits and deprivation grouping, and the interaction of personality and deprivation.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2013-03-13 00:47:58"}
  • {"files"=>["https://ndownloader.figshare.com/files/1012543"], "description"=>"a<p>Values are presented as Mean (SD) for all participants; or as percentages for categorical variables, adjusted for age and sex;</p>b<p><i>P</i> relates the comparison between the two groups. Categorical variables were compared using Fisher’s exact test, continuous variables were compared using t-tests or Wilcoxon tests as appropriate.</p>c<p>The occupational category could not be determined for n = 1 (0.3%) and n = 16 (5%) of the LD and MD groups respectively. Occupation classified using Registrar General Social Class Classification on basis of current job or, if not currently working, on the basis of participants’ last paid job. Only those who had never been in paid employment were classed as “unemployed.” I - professional occupations; II - managerial and technical occupations; III - manual and non-manual skilled occupations; IV - partly skilled occupations; V - unskilled occupations.</p>d<p>Diet score is the participants self-reported consumption of fruit and vegetables (fresh, cooked and raw) per month.</p>e<p>Physical activity level is a combination of activity at work and recreational exercise.</p>f<p>Data log transformed prior to regression analysis.</p>g<p>Personality trait scores were self-reported, each on a scale of 1 to 12.</p>h<p>Depression = depression sub-scale of GHQ-28.</p>i<p>NART (National Adult Reading Test).</p>", "links"=>[], "tags"=>["socioeconomic", "markers", "inflammation", "deprivation"], "article_id"=>672942, "categories"=>["Cell Biology", "Biochemistry", "Mental Health", "Biotechnology", "Immunology", "Medicine"], "users"=>["Keith Millar", "Suzanne M. Lloyd", "Jennifer S. McLean", "G. David Batty", "Harry Burns", "Jonathan Cavanagh", "Kevin A. Deans", "Ian Ford", "Alex McConnachie", "Agnes McGinty", "Réne Mõttus", "Chris J. Packard", "Naveed Sattar", "Paul G. Shiels", "Yoga N. Velupillai", "Carol Tannahill"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0058256.t001", "stats"=>{"downloads"=>1, "page_views"=>5, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Description_of_basic_demographics_socioeconomic_status_personality_and_markers_of_inflammation_by_area_deprivation_category_/672942", "title"=>"Description of basic demographics, socioeconomic status, personality and markers of inflammation by area deprivation category.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2013-03-13 00:49:02"}

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  • {"unique-ip"=>"9", "full-text"=>"5", "pdf"=>"4", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2020", "month"=>"12"}
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Relative Metric

{"start_date"=>"2013-01-01T00:00:00Z", "end_date"=>"2013-12-31T00:00:00Z", "subject_areas"=>[{"subject_area"=>"/Biology and life sciences", "average_usage"=>[269, 466, 588, 697, 800, 896, 988, 1076, 1165, 1254, 1340, 1417]}, {"subject_area"=>"/Medicine and health sciences/Health care", "average_usage"=>[278, 463, 587, 692, 804, 897, 984, 1068, 1165, 1254, 1339, 1429, 1490]}, {"subject_area"=>"/Medicine and health sciences/Mental health and psychiatry", "average_usage"=>[282, 468, 596, 706, 804, 895, 1000, 1081, 1175, 1272, 1356, 1445, 1531]}, {"subject_area"=>"/Medicine and health sciences/Pathology and laboratory medicine", "average_usage"=>[267, 466, 592, 709, 806, 901, 989, 1075, 1162, 1254, 1342, 1424, 1486]}, {"subject_area"=>"/Medicine and health sciences/Public and occupational health", "average_usage"=>[291, 491, 610, 723, 817, 906, 991, 1071, 1153, 1238, 1324, 1411, 1478]}, {"subject_area"=>"/Social sciences", "average_usage"=>[289, 475, 593, 703, 805, 902, 990, 1078, 1158, 1250, 1336, 1417, 1482]}, {"subject_area"=>"/Social sciences/Psychology", "average_usage"=>[294, 460, 580, 683, 777, 868, 957, 1044, 1124, 1202, 1276, 1356, 1422]}]}
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