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      Early puberty in 11-year-old girls: Millennium Cohort Study findings

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          Abstract

          Objective

          Early puberty in girls is linked to some adverse outcomes in adolescence and mid-life. We address two research questions: (1) Are socioeconomic circumstances and ethnicity associated with early onset puberty? (2) Are adiposity and/or psychosocial stress associated with observed associations?

          Design

          Longitudinal data on 5839 girls from the UK Millennium Cohort Study were used to estimate associations between ethnicity, family income, adiposity and psychosocial stress with a marker of puberty.

          Main outcome measure

          Reported menstruation at age 11 years.

          Results

          All quoted ORs are statistically significant. Girls in the poorest income quintile were twice as likely (OR=2.1), and the second poorest quintile nearly twice as likely (OR=1.9) to have begun menstruation compared with girls in the richest income quintile. Estimates were roughly halved on adjustment for Body Mass Index and markers of psychosocial stress (poorest, OR=1.5; second poorest, OR=1.5). Indian girls were over 3 times as likely compared with whites to have started menstruation (OR=3.5) and statistical adjustments did not attenuate estimates. The raised odds of menstruation for Pakistani (OR=1.9), Bangladeshi (OR=3.3) and black African (OR=3.0) girls were attenuated to varying extents, from about a third to a half, on adjustment for income and adiposity.

          Conclusions

          In contemporary UK, excess adiposity and psychosocial stress were associated with social inequalities in early puberty, while material disadvantage and adiposity were linked to ethnic inequalities in early puberty among girls.

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          Most cited references54

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          Short screening scales to monitor population prevalences and trends in non-specific psychological distress

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            Short screening scales to monitor population prevalences and trends in non-specific psychological distress.

            A 10-question screening scale of psychological distress and a six-question short-form scale embedded within the 10-question scale were developed for the redesigned US National Health Interview Survey (NHIS). Initial pilot questions were administered in a US national mail survey (N = 1401). A reduced set of questions was subsequently administered in a US national telephone survey (N = 1574). The 10-question and six-question scales, which we refer to as the K10 and K6, were constructed from the reduced set of questions based on Item Response Theory models. The scales were subsequently validated in a two-stage clinical reappraisal survey (N = 1000 telephone screening interviews in the first stage followed by N = 153 face-to-face clinical interviews in the second stage that oversampled first-stage respondents who screened positive for emotional problems) in a local convenience sample. The second-stage sample was administered the screening scales along with the Structured Clinical Interview for DSM-IV (SCID). The K6 was subsequently included in the 1997 (N = 36116) and 1998 (N = 32440) US National Health Interview Survey, while the K10 was included in the 1997 (N = 10641) Australian National Survey of Mental Health and Well-Being. Both the K10 and K6 have good precision in the 90th-99th percentile range of the population distribution (standard errors of standardized scores in the range 0.20-0.25) as well as consistent psychometric properties across major sociodemographic subsamples. The scales strongly discriminate between community cases and non-cases of DSM-IV/SCID disorders, with areas under the Receiver Operating Characteristic (ROC) curve of 0.87-0.88 for disorders having Global Assessment of Functioning (GAF) scores of 0-70 and 0.95-0.96 for disorders having GAF scores of 0-50. The brevity, strong psychometric properties, and ability to discriminate DSM-IV cases from non-cases make the K10 and K6 attractive for use in general-purpose health surveys. The scales are already being used in annual government health surveys in the US and Canada as well as in the WHO World Mental Health Surveys. Routine inclusion of either the K10 or K6 in clinical studies would create an important, and heretofore missing, crosswalk between community and clinical epidemiology.
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              4. Regression with Missing Ys: An Improved Strategy for Analyzing Multiply Imputed Data

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                Author and article information

                Journal
                Arch Dis Child
                Arch. Dis. Child
                archdischild
                adc
                Archives of Disease in Childhood
                BMJ Publishing Group (BMA House, Tavistock Square, London, WC1H 9JR )
                0003-9888
                1468-2044
                March 2017
                26 September 2016
                : 102
                : 3
                : 232-237
                Affiliations
                [1 ]Department of Epidemiology and Public Health, University College London , London, UK
                [2 ]Department of Epidemiology and Biostatistics, University of California San Francisco , San Francisco, California, USA
                [3 ]Institute of Child Health, University College London , London, UK
                Author notes
                [Correspondence to ] Professor Yvonne Kelly, Department of Epidemiology and Public Health, University College London, 1-19 Torrington Place, London WC1E 6BT, UK, y.kelly@ 123456ucl.ac.uk
                Author information
                http://orcid.org/0000-0002-2936-3994
                Article
                archdischild-2016-310475
                10.1136/archdischild-2016-310475
                5339561
                27672135
                fcf4ad23-1c75-4136-ad6e-e109734ffc3d
                Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://www.bmj.com/company/products-services/rights-and-licensing/

                This is an Open Access article distributed in accordance with the terms of the Creative Commons Attribution (CC BY 4.0) license, which permits others to distribute, remix, adapt and build upon this work, for commercial use, provided the original work is properly cited. See: http://creativecommons.org/licenses/by/4.0/

                History
                : 8 January 2016
                : 31 August 2016
                Funding
                Funded by: Economic and Social Research Council, http://dx.doi.org/10.13039/501100000269;
                Award ID: RES-596-28-0001
                Categories
                1506
                Original Article
                Custom metadata
                unlocked

                Medicine
                inequalities,ethnicity,socioeconomic,menarche
                Medicine
                inequalities, ethnicity, socioeconomic, menarche

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