Temperament Clusters in a Normal Population: Implications for Health and Disease
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{"title"=>"Temperament clusters in a normal population: Implications for health and disease", "type"=>"journal", "authors"=>[{"first_name"=>"Jaana", "last_name"=>"Wessman", "scopus_author_id"=>"34979694500"}, {"first_name"=>"Stefan", "last_name"=>"Schönauer", "scopus_author_id"=>"22434105000"}, {"first_name"=>"Jouko", "last_name"=>"Miettunen", "scopus_author_id"=>"6701423443"}, {"first_name"=>"Hannu", "last_name"=>"Turunen", "scopus_author_id"=>"36785448000"}, {"first_name"=>"Pekka", "last_name"=>"Parviainen", "scopus_author_id"=>"36838228000"}, {"first_name"=>"Jouni K.", "last_name"=>"Seppänen", "scopus_author_id"=>"7003521185"}, {"first_name"=>"Eliza", "last_name"=>"Congdon", "scopus_author_id"=>"13806764500"}, {"first_name"=>"Susan", "last_name"=>"Service", "scopus_author_id"=>"6604078269"}, {"first_name"=>"Markku", "last_name"=>"Koiranen", "scopus_author_id"=>"6603446758"}, {"first_name"=>"Jesper", "last_name"=>"Ekelund", "scopus_author_id"=>"6603788206"}, {"first_name"=>"Jaana", "last_name"=>"Laitinen", "scopus_author_id"=>"7103329949"}, {"first_name"=>"Anja", "last_name"=>"Taanila", "scopus_author_id"=>"6701780093"}, {"first_name"=>"Tuija", "last_name"=>"Tammelin", "scopus_author_id"=>"55796811900"}, {"first_name"=>"Mirka", "last_name"=>"Hintsanen", "scopus_author_id"=>"8892161900"}, {"first_name"=>"Laura", "last_name"=>"Pulkki-Råback", "scopus_author_id"=>"8402684300"}, {"first_name"=>"Liisa", "last_name"=>"Keltikangas-Järvinen", "scopus_author_id"=>"7005916684"}, {"first_name"=>"Jorma", "last_name"=>"Viikari", "scopus_author_id"=>"35446128700"}, {"first_name"=>"Olli T.", "last_name"=>"Raitakari", "scopus_author_id"=>"7004828916"}, {"first_name"=>"Matti", "last_name"=>"Joukamaa", "scopus_author_id"=>"19434516200"}, {"first_name"=>"Marjo Riitta", "last_name"=>"Järvelin", "scopus_author_id"=>"18535933700"}, {"first_name"=>"Nelson", "last_name"=>"Freimer", "scopus_author_id"=>"7006012650"}, {"first_name"=>"Leena", "last_name"=>"Peltonen", "scopus_author_id"=>"36051313500"}, {"first_name"=>"Juha", "last_name"=>"Veijola", "scopus_author_id"=>"7003607012"}, {"first_name"=>"Heikki", "last_name"=>"Mannila", "scopus_author_id"=>"7005002288"}, {"first_name"=>"Tiina", "last_name"=>"Paunio", "scopus_author_id"=>"7003887598"}], "year"=>2012, "source"=>"PLoS ONE", "identifiers"=>{"pui"=>"365274733", "sgr"=>"84864011855", "issn"=>"19326203", "pmid"=>"22815673", "scopus"=>"2-s2.0-84864011855", "doi"=>"10.1371/journal.pone.0033088"}, "id"=>"48051659-dae4-3f8c-9461-d373758e2ed3", "abstract"=>"BACKGROUND: The object of this study was to identify temperament patterns in the Finnish population, and to determine the relationship between these profiles and life habits, socioeconomic status, and health.\\n\\nMETHODS/PRINCIPAL FINDINGS: A cluster analysis of the Temperament and Character Inventory subscales was performed on 3,761 individuals from the Northern Finland Birth Cohort 1966 and replicated on 2,097 individuals from the Cardiovascular Risk in Young Finns study. Clusters were formed using the k-means method and their relationship with 115 variables from the areas of life habits, socioeconomic status and health was examined.\\n\\nRESULTS: Four clusters were identified for both genders. Individuals from Cluster I are characterized by high persistence, low extravagance and disorderliness. They have healthy life habits, and lowest scores in most of the measures for psychiatric disorders. Cluster II individuals are characterized by low harm avoidance and high novelty seeking. They report the best physical capacity and highest level of income, but also high rate of divorce, smoking, and alcohol consumption. Individuals from Cluster III are not characterized by any extreme characteristic. Individuals from Cluster IV are characterized by high levels of harm avoidance, low levels of exploratory excitability and attachment, and score the lowest in most measures of health and well-being.\\n\\nCONCLUSIONS: This study shows that the temperament subscales do not distribute randomly but have an endogenous structure, and that these patterns have strong associations to health, life events, and well-being.", "link"=>"http://www.mendeley.com/research/temperament-clusters-normal-population-implications-health-disease-4", "reader_count"=>15, "reader_count_by_academic_status"=>{"Unspecified"=>1, "Professor > Associate Professor"=>1, "Researcher"=>5, "Student > Doctoral Student"=>1, "Student > Ph. D. Student"=>4, "Other"=>1, "Student > Master"=>2}, "reader_count_by_user_role"=>{"Unspecified"=>1, "Professor > Associate Professor"=>1, "Researcher"=>5, "Student > Doctoral Student"=>1, "Student > Ph. D. Student"=>4, "Other"=>1, "Student > Master"=>2}, "reader_count_by_subject_area"=>{"Unspecified"=>2, "Medicine and Dentistry"=>2, "Agricultural and Biological Sciences"=>2, "Neuroscience"=>2, "Sports and Recreations"=>1, "Psychology"=>5, "Social Sciences"=>1}, "reader_count_by_subdiscipline"=>{"Medicine and Dentistry"=>{"Medicine and Dentistry"=>2}, "Neuroscience"=>{"Neuroscience"=>2}, "Social Sciences"=>{"Social Sciences"=>1}, "Sports and Recreations"=>{"Sports and Recreations"=>1}, "Psychology"=>{"Psychology"=>5}, "Agricultural and Biological Sciences"=>{"Agricultural and Biological Sciences"=>2}, "Unspecified"=>{"Unspecified"=>2}}, "reader_count_by_country"=>{"Sweden"=>1, "United States"=>1, "Italy"=>1}, "group_count"=>0}

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Figshare

  • {"files"=>["https://ndownloader.figshare.com/files/607303"], "description"=>"*<p><i>p</i><0.05 uncorrected.</p>**<p><i>p</i><0.05 corrected.</p>***<p><i>p</i><0.01 corrected.</p>a<p>First scale: the individual TCI scale with the strongest significant association to the variable.</p>b<p>Second scale: any other individual TCI scale with a significant association to the variable that is stronger than the clusters.</p>c<p>Other scale(s): any other individual TCI scale that is significantly associated to the variable. For significant associations between clusters and variables from the psychological scales, the mean value for the cluster with the highest scores are in bold. Psychological scales included the Schizoid Scale (from the Minnesota Multiphasic Personality Inventory); <i>Perceptual Aberration Scale</i>, <i>Physical Anhedonia Scale</i> and <i>Social Anhedonia Scale; Bipolar II scale</i>; <i>Hypomanic Personality Scale</i>; <i>Symptoms of anxiety</i> and <i>symptoms of depression</i> from the HSCL-25; and Alexithymia factors 1–3 from the Twenty Item Toronto Alexithymia Scale (Factor 1: difficulties in identifying feelings; Factor 2: difficulties in describing feelings; and Factor 3: externally oriented thinking).</p>", "links"=>[], "tags"=>["scales"], "article_id"=>277760, "categories"=>["Biological Sciences", "Biotechnology"], "users"=>["Jaana Wessman", "Stefan Schönauer", "Jouko Miettunen", "Hannu Turunen", "Pekka Parviainen", "Jouni K. Seppänen", "Eliza Congdon", "Susan Service", "Markku Koiranen", "Jesper Ekelund", "Jaana Laitinen", "Anja Taanila", "Tuija Tammelin", "Mirka Hintsanen", "Laura Pulkki-Råback", "Liisa Keltikangas-Järvinen", "Jorma Viikari", "Olli T. Raitakari", "Matti Joukamaa", "Marjo-Riitta Jarvelin", "Nelson Freimer", "Leena Peltonen", "Juha Veijola", "Heikki Mannila", "Tiina Paunio"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0033088.t006", "stats"=>{"downloads"=>0, "page_views"=>13, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Psychological_scales_for_males_/277760", "title"=>"Psychological scales for males.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2012-07-18 02:09:20"}
  • {"files"=>["https://ndownloader.figshare.com/files/607352"], "description"=>"*<p><i>p</i><0.05 uncorrected.</p>**<p><i>p</i><0.05 corrected.</p>***<p><i>p</i><0.01 corrected.</p>a<p>First scale: the individual TCI scale with the strongest significant association to the diagnosis. For significant associations between clusters and diagnoses, the values for the cluster with the highest percentage are in bold.</p>", "links"=>[], "tags"=>["public health and epidemiology", "Computational biology"], "article_id"=>277814, "categories"=>["Biological Sciences", "Biotechnology"], "users"=>["Jaana Wessman", "Stefan Schönauer", "Jouko Miettunen", "Hannu Turunen", "Pekka Parviainen", "Jouni K. Seppänen", "Eliza Congdon", "Susan Service", "Markku Koiranen", "Jesper Ekelund", "Jaana Laitinen", "Anja Taanila", "Tuija Tammelin", "Mirka Hintsanen", "Laura Pulkki-Råback", "Liisa Keltikangas-Järvinen", "Jorma Viikari", "Olli T. Raitakari", "Matti Joukamaa", "Marjo-Riitta Jarvelin", "Nelson Freimer", "Leena Peltonen", "Juha Veijola", "Heikki Mannila", "Tiina Paunio"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0033088.t004", "stats"=>{"downloads"=>0, "page_views"=>8, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Confirmed_diagnoses_/277814", "title"=>"Confirmed diagnoses.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2012-07-18 02:10:14"}
  • {"files"=>["https://ndownloader.figshare.com/files/607481"], "description"=>"*<p><i>p</i><0.05 uncorrected.</p>**<p><i>p</i><0.05 corrected.</p>***<p><i>p</i><0.01 corrected.</p>a<p>First scale: the individual TCI scale with the strongest significant association to the variable.</p>b<p>Second scale: any other individual TCI scale with a significant association to the variable that is stronger than the clusters.</p>c<p>Other scale(s): any other individual TCI scale that is significantly associated to the variable. For significant associations between clusters and variables from the 15D questionnaire, the mean value for the cluster with the highest scores are in bold.</p>", "links"=>[], "tags"=>["deviations", "15d"], "article_id"=>277948, "categories"=>["Biological Sciences", "Biotechnology"], "users"=>["Jaana Wessman", "Stefan Schönauer", "Jouko Miettunen", "Hannu Turunen", "Pekka Parviainen", "Jouni K. Seppänen", "Eliza Congdon", "Susan Service", "Markku Koiranen", "Jesper Ekelund", "Jaana Laitinen", "Anja Taanila", "Tuija Tammelin", "Mirka Hintsanen", "Laura Pulkki-Råback", "Liisa Keltikangas-Järvinen", "Jorma Viikari", "Olli T. Raitakari", "Matti Joukamaa", "Marjo-Riitta Jarvelin", "Nelson Freimer", "Leena Peltonen", "Juha Veijola", "Heikki Mannila", "Tiina Paunio"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0033088.t002", "stats"=>{"downloads"=>0, "page_views"=>41, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Means_and_standard_deviations_from_15D_questionnaire_for_females_/277948", "title"=>"Means and standard deviations from 15D questionnaire for females.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2012-07-18 02:12:28"}
  • {"files"=>["https://ndownloader.figshare.com/files/607608"], "description"=>"<p>Number and proportion of variables significantly associated with clusters, any scale, and each individual scale, after correction for multiple testing.</p>", "links"=>[], "tags"=>["variables", "correction"], "article_id"=>278072, "categories"=>["Biological Sciences", "Biotechnology"], "users"=>["Jaana Wessman", "Stefan Schönauer", "Jouko Miettunen", "Hannu Turunen", "Pekka Parviainen", "Jouni K. Seppänen", "Eliza Congdon", "Susan Service", "Markku Koiranen", "Jesper Ekelund", "Jaana Laitinen", "Anja Taanila", "Tuija Tammelin", "Mirka Hintsanen", "Laura Pulkki-Råback", "Liisa Keltikangas-Järvinen", "Jorma Viikari", "Olli T. Raitakari", "Matti Joukamaa", "Marjo-Riitta Jarvelin", "Nelson Freimer", "Leena Peltonen", "Juha Veijola", "Heikki Mannila", "Tiina Paunio"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0033088.t001", "stats"=>{"downloads"=>0, "page_views"=>14, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Number_and_proportion_of_variables_significantly_associated_with_clusters_any_scale_and_each_individual_scale_after_correction_for_multiple_testing_/278072", "title"=>"Number and proportion of variables significantly associated with clusters, any scale, and each individual scale, after correction for multiple testing.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2012-07-18 02:14:32"}
  • {"files"=>["https://ndownloader.figshare.com/files/607546"], "description"=>"*<p><i>p</i><0.05 uncorrected.</p>**<p><i>p</i><0.05 corrected.</p>***<p><i>p</i><0.01 corrected.</p>a<p>First scale: the individual TCI scale with the strongest significant association to the variable.</p>b<p>Second scale: any other individual TCI scale with a significant association to the variable that is stronger than the clusters.</p>c<p>Other scale(s): any other individual TCI scale that is significantly associated to the variable. For significant associations between clusters and variables from the 15D questionnaire, the mean value for the cluster with the highest scores are in bold.</p>", "links"=>[], "tags"=>["deviations", "15d"], "article_id"=>278006, "categories"=>["Biological Sciences", "Biotechnology"], "users"=>["Jaana Wessman", "Stefan Schönauer", "Jouko Miettunen", "Hannu Turunen", "Pekka Parviainen", "Jouni K. Seppänen", "Eliza Congdon", "Susan Service", "Markku Koiranen", "Jesper Ekelund", "Jaana Laitinen", "Anja Taanila", "Tuija Tammelin", "Mirka Hintsanen", "Laura Pulkki-Råback", "Liisa Keltikangas-Järvinen", "Jorma Viikari", "Olli T. Raitakari", "Matti Joukamaa", "Marjo-Riitta Jarvelin", "Nelson Freimer", "Leena Peltonen", "Juha Veijola", "Heikki Mannila", "Tiina Paunio"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0033088.t003", "stats"=>{"downloads"=>4, "page_views"=>9, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Means_and_standard_deviations_from_15D_questionnaire_for_males_/278006", "title"=>"Means and standard deviations from 15D questionnaire for males.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2012-07-18 02:13:26"}
  • {"files"=>["https://ndownloader.figshare.com/files/607189"], "description"=>"<p>Cluster results for females (left column) and males (right column) are presented as star plots, with 0 as the sample mean and 1 as the sample standard deviation. The average score of each cluster (I-IV) on each of the twelve TCI subscales are indicated by the thick black line, with the line closer to the middle of the plot representing lower scores and the line closer to the edge of the plot representing higher scores.</p>", "links"=>[], "tags"=>["plots", "describing"], "article_id"=>277656, "categories"=>["Biological Sciences", "Biotechnology"], "users"=>["Jaana Wessman", "Stefan Schönauer", "Jouko Miettunen", "Hannu Turunen", "Pekka Parviainen", "Jouni K. Seppänen", "Eliza Congdon", "Susan Service", "Markku Koiranen", "Jesper Ekelund", "Jaana Laitinen", "Anja Taanila", "Tuija Tammelin", "Mirka Hintsanen", "Laura Pulkki-Råback", "Liisa Keltikangas-Järvinen", "Jorma Viikari", "Olli T. Raitakari", "Matti Joukamaa", "Marjo-Riitta Jarvelin", "Nelson Freimer", "Leena Peltonen", "Juha Veijola", "Heikki Mannila", "Tiina Paunio"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0033088.g002", "stats"=>{"downloads"=>3, "page_views"=>6, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Star_plots_describing_the_clusters_/277656", "title"=>"Star plots describing the clusters.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2012-07-18 02:07:36"}
  • {"files"=>["https://ndownloader.figshare.com/files/607053"], "description"=>"<p>Clustering of the subscales showed stable results with an optimum of four clusters in both females (left) and males (right).</p>", "links"=>[], "tags"=>["criterion", "scores"], "article_id"=>277499, "categories"=>["Biological Sciences", "Biotechnology"], "users"=>["Jaana Wessman", "Stefan Schönauer", "Jouko Miettunen", "Hannu Turunen", "Pekka Parviainen", "Jouni K. Seppänen", "Eliza Congdon", "Susan Service", "Markku Koiranen", "Jesper Ekelund", "Jaana Laitinen", "Anja Taanila", "Tuija Tammelin", "Mirka Hintsanen", "Laura Pulkki-Råback", "Liisa Keltikangas-Järvinen", "Jorma Viikari", "Olli T. Raitakari", "Matti Joukamaa", "Marjo-Riitta Jarvelin", "Nelson Freimer", "Leena Peltonen", "Juha Veijola", "Heikki Mannila", "Tiina Paunio"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0033088.g001", "stats"=>{"downloads"=>0, "page_views"=>13, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Bayesian_information_criterion_BIC_scores_for_various_cluster_sizes_/277499", "title"=>"Bayesian information criterion (BIC) scores for various cluster sizes.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2012-07-18 02:04:59"}
  • {"files"=>["https://ndownloader.figshare.com/files/316960", "https://ndownloader.figshare.com/files/316990", "https://ndownloader.figshare.com/files/317045", "https://ndownloader.figshare.com/files/317098", "https://ndownloader.figshare.com/files/317135", "https://ndownloader.figshare.com/files/317229", "https://ndownloader.figshare.com/files/317317"], "description"=>"<div><h3>Background</h3><p>The object of this study was to identify temperament patterns in the Finnish population, and to determine the relationship between these profiles and life habits, socioeconomic status, and health.</p> <h3>Methods/Principal Findings</h3><p>A cluster analysis of the Temperament and Character Inventory subscales was performed on 3,761 individuals from the Northern Finland Birth Cohort 1966 and replicated on 2,097 individuals from the Cardiovascular Risk in Young Finns study. Clusters were formed using the k-means method and their relationship with 115 variables from the areas of life habits, socioeconomic status and health was examined.</p> <h3>Results</h3><p>Four clusters were identified for both genders. Individuals from Cluster I are characterized by high persistence, low extravagance and disorderliness. They have healthy life habits, and lowest scores in most of the measures for psychiatric disorders. Cluster II individuals are characterized by low harm avoidance and high novelty seeking. They report the best physical capacity and highest level of income, but also high rate of divorce, smoking, and alcohol consumption. Individuals from Cluster III are not characterized by any extreme characteristic. Individuals from Cluster IV are characterized by high levels of harm avoidance, low levels of exploratory excitability and attachment, and score the lowest in most measures of health and well-being.</p> <h3>Conclusions</h3><p>This study shows that the temperament subscales do not distribute randomly but have an endogenous structure, and that these patterns have strong associations to health, life events, and well-being.</p> </div>", "links"=>[], "tags"=>["temperament", "clusters", "implications"], "article_id"=>122556, "categories"=>["Biological Sciences", "Biotechnology"], "users"=>["Jaana Wessman", "Stefan Schönauer", "Jouko Miettunen", "Hannu Turunen", "Pekka Parviainen", "Jouni K. Seppänen", "Eliza Congdon", "Susan Service", "Markku Koiranen", "Jesper Ekelund", "Jaana Laitinen", "Anja Taanila", "Tuija Tammelin", "Mirka Hintsanen", "Laura Pulkki-Råback", "Liisa Keltikangas-Järvinen", "Jorma Viikari", "Olli T. Raitakari", "Matti Joukamaa", "Marjo-Riitta Jarvelin", "Nelson Freimer", "Leena Peltonen", "Juha Veijola", "Heikki Mannila", "Tiina Paunio"], "doi"=>["https://dx.doi.org/10.1371/journal.pone.0033088.s001", "https://dx.doi.org/10.1371/journal.pone.0033088.s002", "https://dx.doi.org/10.1371/journal.pone.0033088.s003", "https://dx.doi.org/10.1371/journal.pone.0033088.s004", "https://dx.doi.org/10.1371/journal.pone.0033088.s005", "https://dx.doi.org/10.1371/journal.pone.0033088.s006", "https://dx.doi.org/10.1371/journal.pone.0033088.s007"], "stats"=>{"downloads"=>38, "page_views"=>17, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/Temperament_Clusters_in_a_Normal_Population_Implications_for_Health_and_Disease/122556", "title"=>"Temperament Clusters in a Normal Population: Implications for Health and Disease", "pos_in_sequence"=>0, "defined_type"=>4, "published_date"=>"2012-07-18 00:42:36"}
  • {"files"=>["https://ndownloader.figshare.com/files/607420"], "description"=>"*<p><i>p</i> < 0.05 uncorrected.</p>**<p><i>p</i><0.05 corrected.</p>***<p><i>p</i><0.01 corrected.</p>a<p>First scale: the individual TCI scale with the strongest significant association to the variable.</p>b<p>Second scale: any other individual TCI scale with a significant association to the variable that is stronger than the clusters.</p>c<p>Other scale(s): any other individual TCI scale that is significantly associated to the variable. For significant associations between clusters and variables from the psychological scales, the mean value for the cluster with the highest scores are in bold. Psychological scales included the Schizoid Scale (from the Minnesota Multiphasic Personality Inventory); <i>Perceptual Aberration Scale</i>, <i>Physical Anhedonia Scale</i> and <i>Social Anhedonia Scale; Bipolar II scale</i>; <i>Hypomanic Personality Scale</i>; <i>Symptoms of anxiety</i> and <i>symptoms of depression</i> from the HSCL-25; and Alexithymia factors 1–3 from the Twenty Item Toronto Alexithymia Scale (Factor 1: difficulties in identifying feelings; Factor 2: difficulties in describing feelings; and Factor 3: externally oriented thinking).</p>", "links"=>[], "tags"=>["scales"], "article_id"=>277886, "categories"=>["Biological Sciences", "Biotechnology"], "users"=>["Jaana Wessman", "Stefan Schönauer", "Jouko Miettunen", "Hannu Turunen", "Pekka Parviainen", "Jouni K. Seppänen", "Eliza Congdon", "Susan Service", "Markku Koiranen", "Jesper Ekelund", "Jaana Laitinen", "Anja Taanila", "Tuija Tammelin", "Mirka Hintsanen", "Laura Pulkki-Råback", "Liisa Keltikangas-Järvinen", "Jorma Viikari", "Olli T. Raitakari", "Matti Joukamaa", "Marjo-Riitta Jarvelin", "Nelson Freimer", "Leena Peltonen", "Juha Veijola", "Heikki Mannila", "Tiina Paunio"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0033088.t005", "stats"=>{"downloads"=>3, "page_views"=>6, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Psychological_scales_for_females_/277886", "title"=>"Psychological scales for females.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2012-07-18 02:11:26"}

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