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      Body dissatisfaction predicts the onset of depression among adolescent females and males: a prospective study

      , , ,
      Journal of Epidemiology and Community Health
      BMJ

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          Abstract

          Rationale

          Body dissatisfaction is prevalent in mid-adolescence and may be associated with the onset of depression.

          Objective

          The study assessed the influence of body dissatisfaction on the occurrence of later depressive episodes in a population-based sample of British adolescents.

          Method

          Participants were 2078 females and 1675 males from the Avon Longitudinal Study of Parents and Children (ALSPAC) cohort. Logistic regression was used to test if body dissatisfaction at 14 years old predicted the onset of depressive episodes at 18 years old, controlling for baseline depression.

          Results

          Among females, body dissatisfaction predicted mild (OR=1.63, 95% CI=1.31, 2.04), moderate (OR=1.67, 95% CI=1.28, 2.18) and severe depressive episodes (OR=1.84, 95% CI=1.09, 3.12). Among males, body dissatisfaction predicted mild (OR=1.50, 95% CI=1.00, 2.25) and severe depressive episodes (OR=2.85, 95% CI=1.18, 6.87) at 18 years of age.

          Conclusions

          This is the first prospective study to demonstrate that body dissatisfaction in adolescence predicts the occurrence of later depressive episodes in a cohort born in the early 1990s. The findings highlight that body dissatisfaction is a public health concern.

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          Most cited references55

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          Multiple imputation using chained equations: Issues and guidance for practice

          Multiple imputation by chained equations is a flexible and practical approach to handling missing data. We describe the principles of the method and show how to impute categorical and quantitative variables, including skewed variables. We give guidance on how to specify the imputation model and how many imputations are needed. We describe the practical analysis of multiply imputed data, including model building and model checking. We stress the limitations of the method and discuss the possible pitfalls. We illustrate the ideas using a data set in mental health, giving Stata code fragments. 2010 John Wiley & Sons, Ltd.
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            Cohort Profile: The ‘Children of the 90s’—the index offspring of the Avon Longitudinal Study of Parents and Children

            The Avon Longitudinal Study of Parents and Children (ALSPAC) is a transgenerational prospective observational study investigating influences on health and development across the life course. It considers multiple genetic, epigenetic, biological, psychological, social and other environmental exposures in relation to a similarly diverse range of health, social and developmental outcomes. Recruitment sought to enrol pregnant women in the Bristol area of the UK during 1990–92; this was extended to include additional children eligible using the original enrolment definition up to the age of 18 years. The children from 14 541 pregnancies were recruited in 1990–92, increasing to 15 247 pregnancies by the age of 18 years. This cohort profile describes the index children of these pregnancies. Follow-up includes 59 questionnaires (4 weeks–18 years of age) and 9 clinical assessment visits (7–17 years of age). The resource comprises a wide range of phenotypic and environmental measures in addition to biological samples, genetic (DNA on 11 343 children, genome-wide data on 8365 children, complete genome sequencing on 2000 children) and epigenetic (methylation sampling on 1000 children) information and linkage to health and administrative records. Data access is described in this article and is currently set up as a supported access resource. To date, over 700 peer-reviewed articles have been published using ALSPAC data.
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              Cohort Profile: The Avon Longitudinal Study of Parents and Children: ALSPAC mothers cohort

              Summary The Avon Longitudinal Study of Children and Parents (ALSPAC) was established to understand how genetic and environmental characteristics influence health and development in parents and children. All pregnant women resident in a defined area in the South West of England, with an expected date of delivery between 1st April 1991 and 31st December 1992, were eligible and 13 761 women (contributing 13 867 pregnancies) were recruited. These women have been followed over the last 19–22 years and have completed up to 20 questionnaires, have had detailed data abstracted from their medical records and have information on any cancer diagnoses and deaths through record linkage. A follow-up assessment was completed 17–18 years postnatal at which anthropometry, blood pressure, fat, lean and bone mass and carotid intima media thickness were assessed, and a fasting blood sample taken. The second follow-up clinic, which additionally measures cognitive function, physical capability, physical activity (with accelerometer) and wrist bone architecture, is underway and two further assessments with similar measurements will take place over the next 5 years. There is a detailed biobank that includes DNA, with genome-wide data available on >10 000, stored serum and plasma taken repeatedly since pregnancy and other samples; a wide range of data on completed biospecimen assays are available. Details of how to access these data are provided in this cohort profile.
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                Author and article information

                Contributors
                (View ORCID Profile)
                Journal
                Journal of Epidemiology and Community Health
                J Epidemiol Community Health
                BMJ
                0143-005X
                1470-2738
                December 07 2020
                : jech-2019-213033
                Article
                10.1136/jech-2019-213033
                33288655
                4807c652-8e56-4090-9b84-cad3d04a4564
                © 2020
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