Family and Neighbourhood Socioeconomic Inequalities in Childhood Trajectories of BMI and Overweight: Longitudinal Study of Australian Children
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{"title"=>"Family and Neighbourhood Socioeconomic Inequalities in Childhood Trajectories of BMI and Overweight: Longitudinal Study of Australian Children", "type"=>"journal", "authors"=>[{"first_name"=>"Pauline W.", "last_name"=>"Jansen", "scopus_author_id"=>"24476345000"}, {"first_name"=>"Fiona K.", "last_name"=>"Mensah", "scopus_author_id"=>"8337919000"}, {"first_name"=>"Jan M.", "last_name"=>"Nicholson", "scopus_author_id"=>"7402205489"}, {"first_name"=>"Melissa", "last_name"=>"Wake", "scopus_author_id"=>"7101653914"}], "year"=>2013, "source"=>"PLoS ONE", "identifiers"=>{"issn"=>"19326203", "scopus"=>"2-s2.0-84880724855", "pui"=>"369424011", "doi"=>"10.1371/journal.pone.0069676", "isbn"=>"1932-6203 (Electronic)\\r1932-6203 (Linking)", "sgr"=>"84880724855", "pmid"=>"23936075"}, "id"=>"4fc6b877-c18a-3e35-9bef-18c4436b9e14", "abstract"=>"BACKGROUND: Socioeconomic inequalities in longitudinal patterning of childhood overweight could cause marked differentials in total burden by adulthood. This study aims to determine timing and strength of the association between socioeconomic status (SES) and children's body mass index (BMI) in the pre- and primary school years, and to examine socioeconomic differences in overweight trajectories across childhood.\\n\\nMETHODS: Participants were 4949 children from the Longitudinal Study of Australian Children. BMI was measured at four biennial waves starting at age 4-5 years in 2004. Developmental trajectories of childhood overweight were identified with latent class analyses. Composite variables of family and neighbourhood SES were used.\\n\\nRESULTS: Socioeconomic differences in mean BMI z-scores already present at age 4-5 more than doubled by age 10-11 years, reflecting decreasing mean BMI among advantaged rather than increasing means among disadvantaged children. Latent class analysis identified children with 'stable normal weight' (68%), and with 'persistent' (15%), 'late-onset' (14%), and 'resolving' overweight (3%). Risks of persistent and late-onset childhood overweight were highest among low SES families (e.g. most disadvantaged quintile: OR(persistent) = 2.51, 95%CI: 1.83-3.43), and only partly explained by birth weight and parental overweight. Relationships with neighbourhood SES were weaker and attenuated fully on adjustment for family SES. No socioeconomic gradient was observed for resolving overweight.\\n\\nCONCLUSIONS: Childhood has become the critical period when socioeconomic inequalities in overweight emerge and strengthen. Although targeting disadvantaged children with early overweight must be a top priority, the presence of childhood overweight even among less-disadvantaged families suggests only whole-society approaches will eliminate overweight-associated morbidity.", "link"=>"http://www.mendeley.com/research/family-neighbourhood-socioeconomic-inequalities-childhood-trajectories-bmi-overweight-longitudinal-s", "reader_count"=>49, "reader_count_by_academic_status"=>{"Unspecified"=>3, "Professor > Associate Professor"=>2, "Researcher"=>3, "Student > Doctoral Student"=>3, "Student > Ph. D. Student"=>9, "Student > Postgraduate"=>2, "Student > Master"=>11, "Other"=>2, "Student > Bachelor"=>8, "Lecturer"=>3, "Professor"=>3}, "reader_count_by_user_role"=>{"Unspecified"=>3, "Professor > Associate Professor"=>2, "Researcher"=>3, "Student > Doctoral Student"=>3, "Student > Ph. D. Student"=>9, "Student > Postgraduate"=>2, "Student > Master"=>11, "Other"=>2, "Student > Bachelor"=>8, "Lecturer"=>3, "Professor"=>3}, "reader_count_by_subject_area"=>{"Unspecified"=>6, "Nursing and Health Professions"=>4, "Biochemistry, Genetics and Molecular Biology"=>1, "Medicine and Dentistry"=>15, "Agricultural and Biological Sciences"=>3, "Arts and Humanities"=>1, "Sports and Recreations"=>4, "Psychology"=>6, "Social Sciences"=>6, "Computer Science"=>1, "Economics, Econometrics and Finance"=>2}, "reader_count_by_subdiscipline"=>{"Medicine and Dentistry"=>{"Medicine and Dentistry"=>15}, "Social Sciences"=>{"Social Sciences"=>6}, "Sports and Recreations"=>{"Sports and Recreations"=>4}, "Psychology"=>{"Psychology"=>6}, "Economics, Econometrics and Finance"=>{"Economics, Econometrics and Finance"=>2}, "Agricultural and Biological Sciences"=>{"Agricultural and Biological Sciences"=>3}, "Computer Science"=>{"Computer Science"=>1}, "Nursing and Health Professions"=>{"Nursing and Health Professions"=>4}, "Biochemistry, Genetics and Molecular Biology"=>{"Biochemistry, Genetics and Molecular Biology"=>1}, "Unspecified"=>{"Unspecified"=>6}, "Arts and Humanities"=>{"Arts and Humanities"=>1}}, "reader_count_by_country"=>{"United States"=>1, "Taiwan"=>1, "United Kingdom"=>2, "Malaysia"=>1, "Australia"=>1}, "group_count"=>2}

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Figshare

  • {"files"=>["https://ndownloader.figshare.com/files/1127157"], "description"=>"<p>Prevalence of weight trajectory classes by family and neighbourhood socioeconomic status.</p>", "links"=>[], "tags"=>["Clinical research design", "Longitudinal studies", "epidemiology", "Pediatric epidemiology", "Social epidemiology", "nutrition", "obesity", "pediatrics", "Public health", "Behavioral and social aspects of health", "Child health", "Environmental health", "Socioeconomic aspects of health", "trajectory", "classes", "neighbourhood", "socioeconomic"], "article_id"=>752085, "categories"=>["Medicine"], "users"=>["Pauline W. Jansen", "Fiona K. Mensah", "Jan M. Nicholson", "Melissa Wake"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0069676.t002", "stats"=>{"downloads"=>1, "page_views"=>3, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Prevalence_of_weight_trajectory_classes_by_family_and_neighbourhood_socioeconomic_status_/752085", "title"=>"Prevalence of weight trajectory classes by family and neighbourhood socioeconomic status.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2013-07-23 02:44:49"}
  • {"files"=>["https://ndownloader.figshare.com/files/1127156"], "description"=>"<p>Footnotes. Significant differences in bold.</p>a<p>Adjusted for Indigenous and non-English speaking background.</p>b<p>Interaction test for differential trend in BMI by age compared to most advantaged quintile.</p>", "links"=>[], "tags"=>["Clinical research design", "Longitudinal studies", "epidemiology", "Pediatric epidemiology", "Social epidemiology", "nutrition", "obesity", "pediatrics", "Public health", "Behavioral and social aspects of health", "Child health", "Environmental health", "Socioeconomic aspects of health", "associations", "socioeconomic", "bmi", "z-score"], "article_id"=>752084, "categories"=>["Medicine"], "users"=>["Pauline W. Jansen", "Fiona K. Mensah", "Jan M. Nicholson", "Melissa Wake"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0069676.t001", "stats"=>{"downloads"=>1, "page_views"=>7, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Cross_sectional_associations_between_socioeconomic_status_and_BMI_z_score_across_childhood_/752084", "title"=>"Cross-sectional associations between socioeconomic status and BMI z-score across childhood.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2013-07-23 02:44:49"}
  • {"files"=>["https://ndownloader.figshare.com/files/1127159", "https://ndownloader.figshare.com/files/1127161", "https://ndownloader.figshare.com/files/1127162", "https://ndownloader.figshare.com/files/1127163"], "description"=>"<div><p>Background</p><p>Socioeconomic inequalities in longitudinal patterning of childhood overweight could cause marked differentials in total burden by adulthood. This study aims to determine timing and strength of the association between socioeconomic status (SES) and children’s body mass index (BMI) in the pre- and primary school years, and to examine socioeconomic differences in overweight trajectories across childhood.</p><p>Methods</p><p>Participants were 4949 children from the Longitudinal Study of Australian Children. BMI was measured at four biennial waves starting at age 4–5 years in 2004. Developmental trajectories of childhood overweight were identified with latent class analyses. Composite variables of family and neighbourhood SES were used.</p><p>Results</p><p>Socioeconomic differences in mean BMI z-scores already present at age 4–5 more than doubled by age 10–11 years, reflecting decreasing mean BMI among advantaged rather than increasing means among disadvantaged children. Latent class analysis identified children with ‘stable normal weight’ (68%), and with ‘persistent’ (15%), ‘late-onset’ (14%), and ‘resolving’ overweight (3%). Risks of persistent and late-onset childhood overweight were highest among low SES families (e.g. most disadvantaged quintile: OR<sub>persistent</sub> = 2.51, 95%CI: 1.83–3.43), and only partly explained by birth weight and parental overweight. Relationships with neighbourhood SES were weaker and attenuated fully on adjustment for family SES. No socioeconomic gradient was observed for resolving overweight.</p><p>Conclusions</p><p>Childhood has become the critical period when socioeconomic inequalities in overweight emerge and strengthen. Although targeting disadvantaged children with early overweight must be a top priority, the presence of childhood overweight even among less-disadvantaged families suggests only whole-society approaches will eliminate overweight-associated morbidity.</p></div>", "links"=>[], "tags"=>["Clinical research design", "Longitudinal studies", "epidemiology", "Pediatric epidemiology", "Social epidemiology", "nutrition", "obesity", "pediatrics", "Public health", "Behavioral and social aspects of health", "Child health", "Environmental health", "Socioeconomic aspects of health", "neighbourhood", "socioeconomic", "inequalities", "trajectories", "bmi", "longitudinal", "australian"], "article_id"=>752087, "categories"=>["Medicine"], "users"=>["Pauline W. Jansen", "Fiona K. Mensah", "Jan M. Nicholson", "Melissa Wake"], "doi"=>["https://dx.doi.org/10.1371/journal.pone.0069676.s001", "https://dx.doi.org/10.1371/journal.pone.0069676.s002", "https://dx.doi.org/10.1371/journal.pone.0069676.s003", "https://dx.doi.org/10.1371/journal.pone.0069676.s004"], "stats"=>{"downloads"=>4, "page_views"=>13, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Family_and_Neighbourhood_Socioeconomic_Inequalities_in_Childhood_Trajectories_of_BMI_and_Overweight_Longitudinal_Study_of_Australian_Children_/752087", "title"=>"Family and Neighbourhood Socioeconomic Inequalities in Childhood Trajectories of BMI and Overweight: Longitudinal Study of Australian Children", "pos_in_sequence"=>0, "defined_type"=>4, "published_date"=>"2013-07-23 02:44:49"}
  • {"files"=>["https://ndownloader.figshare.com/files/1127158"], "description"=>"<p>Footnotes. Significant ORs in bold.</p>a<p>Reference categories: “Stable normal weight” (n≈3409) for trajectories; “Most advantaged quintile” for SES.</p>", "links"=>[], "tags"=>["Clinical research design", "Longitudinal studies", "epidemiology", "Pediatric epidemiology", "Social epidemiology", "nutrition", "obesity", "pediatrics", "Public health", "Behavioral and social aspects of health", "Child health", "Environmental health", "Socioeconomic aspects of health", "socioeconomic", "longitudinal", "overweight", "trajectories"], "article_id"=>752086, "categories"=>["Medicine"], "users"=>["Pauline W. Jansen", "Fiona K. Mensah", "Jan M. Nicholson", "Melissa Wake"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0069676.t003", "stats"=>{"downloads"=>0, "page_views"=>6, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Association_between_socioeconomic_status_and_longitudinal_overweight_trajectories_from_age_4_8211_5_to_10_8211_11_years_/752086", "title"=>"Association between socioeconomic status and longitudinal overweight trajectories from age 4–5 to 10–11 years.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2013-07-23 02:44:49"}
  • {"files"=>["https://ndownloader.figshare.com/files/1127155"], "description"=>"<p>Footnotes <a href=\"http://www.plosone.org/article/info:doi/10.1371/journal.pone.0069676#pone-0069676-g002\" target=\"_blank\">Figure 2</a>. Hollow-Circles (○) represent ORs adjusted for confounders (Indigenous status and non-English speaking background) and diamond symbols (♦) represent ORs additionally adjusted for birth weight and parental BMI. Bars represent 95% CI.</p>", "links"=>[], "tags"=>["Clinical research design", "Longitudinal studies", "epidemiology", "Pediatric epidemiology", "Social epidemiology", "nutrition", "obesity", "pediatrics", "Public health", "Behavioral and social aspects of health", "Child health", "Environmental health", "Socioeconomic aspects of health", "socioeconomic", "trajectories", "years", "bmi"], "article_id"=>752083, "categories"=>["Medicine"], "users"=>["Pauline W. Jansen", "Fiona K. Mensah", "Jan M. Nicholson", "Melissa Wake"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0069676.g002", "stats"=>{"downloads"=>0, "page_views"=>4, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Association_between_family_socioeconomic_status_and_weight_trajectories_from_age_4_8211_5_to_age_10_8211_11_years_based_on_different_BMI_classifications_/752083", "title"=>"Association between family socioeconomic status and weight trajectories from age 4–5 to age 10–11 years based on different BMI classifications.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2013-07-23 02:44:49"}
  • {"files"=>["https://ndownloader.figshare.com/files/1127154"], "description"=>"<p>Mean BMI trajectories from age 4–5 to 10–11 years of different latent classes.</p>", "links"=>[], "tags"=>["Clinical research design", "Longitudinal studies", "epidemiology", "Pediatric epidemiology", "Social epidemiology", "nutrition", "obesity", "pediatrics", "Public health", "Behavioral and social aspects of health", "Child health", "Environmental health", "Socioeconomic aspects of health", "bmi", "trajectories", "years", "latent"], "article_id"=>752082, "categories"=>["Medicine"], "users"=>["Pauline W. Jansen", "Fiona K. Mensah", "Jan M. Nicholson", "Melissa Wake"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0069676.g001", "stats"=>{"downloads"=>4, "page_views"=>4, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Mean_BMI_trajectories_from_age_4_8211_5_to_10_8211_11_years_of_different_latent_classes_/752082", "title"=>"Mean BMI trajectories from age 4–5 to 10–11 years of different latent classes.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2013-07-23 02:44:49"}

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Relative Metric

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