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Characteristics of patients with body mass index recorded within the Kent Integrated Dataset (KID)
BACKGROUND: Obesity is a significant health issue and key public health priority. This study explored body mass index (BMI) recording in general practice within the Kent Integrated Dataset. METHODS: Using a sample aged 18–100 years, resident within Kent, who were alive and currently registered to a...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BMJ Publishing Group
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7062326/ https://www.ncbi.nlm.nih.gov/pubmed/31196930 http://dx.doi.org/10.1136/bmjhci-2019-000026 |
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author | Cuccu, Zara Abi-Aad, Gerrard Duggal, Allison |
author_facet | Cuccu, Zara Abi-Aad, Gerrard Duggal, Allison |
author_sort | Cuccu, Zara |
collection | PubMed |
description | BACKGROUND: Obesity is a significant health issue and key public health priority. This study explored body mass index (BMI) recording in general practice within the Kent Integrated Dataset. METHODS: Using a sample aged 18–100 years, resident within Kent, who were alive and currently registered to a Kent general practice as of 6 August 2018 within the Kent Integrated Dataset. We identified the latest BMI from event records between 2015/2016 and 2017/2018. Recording was evaluated by sex, age, deprivation, hypertension, serious mental illness and multimorbidity. RESULTS: Between 2015/2016 and 2017/2018 using the sample of 1 154 652 persons, BMI was recorded for 43.7% of the sample. Multiple logistic regression showed that BMI recording was higher in females, the middle age bands, persons living in the most deprived areas and within persons who were hypertensive, had serious mental illness or were multimorbid. CONCLUSIONS: Findings were aligned to previous research using nationally representative samples. Completeness of recording varied by age, sex, deprivation and comorbidity. Recording within general practice was aligned to chronic disease management. From a prevention perspective, earlier assessment and intervention for the management of excess weight within primary care may be an opportunity for avoiding increases in BMI trajectory. There may also be merit in recognising that the external disease agents that influence obesity can be controlled or reduced (obesogenic environment) from a national policy perspective. Such a perspective may also help reduce stigmatisation and the pressure around arguments that centre on personal responsibility for obesity. |
format | Online Article Text |
id | pubmed-7062326 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | BMJ Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-70623262020-09-30 Characteristics of patients with body mass index recorded within the Kent Integrated Dataset (KID) Cuccu, Zara Abi-Aad, Gerrard Duggal, Allison BMJ Health Care Inform Original Research BACKGROUND: Obesity is a significant health issue and key public health priority. This study explored body mass index (BMI) recording in general practice within the Kent Integrated Dataset. METHODS: Using a sample aged 18–100 years, resident within Kent, who were alive and currently registered to a Kent general practice as of 6 August 2018 within the Kent Integrated Dataset. We identified the latest BMI from event records between 2015/2016 and 2017/2018. Recording was evaluated by sex, age, deprivation, hypertension, serious mental illness and multimorbidity. RESULTS: Between 2015/2016 and 2017/2018 using the sample of 1 154 652 persons, BMI was recorded for 43.7% of the sample. Multiple logistic regression showed that BMI recording was higher in females, the middle age bands, persons living in the most deprived areas and within persons who were hypertensive, had serious mental illness or were multimorbid. CONCLUSIONS: Findings were aligned to previous research using nationally representative samples. Completeness of recording varied by age, sex, deprivation and comorbidity. Recording within general practice was aligned to chronic disease management. From a prevention perspective, earlier assessment and intervention for the management of excess weight within primary care may be an opportunity for avoiding increases in BMI trajectory. There may also be merit in recognising that the external disease agents that influence obesity can be controlled or reduced (obesogenic environment) from a national policy perspective. Such a perspective may also help reduce stigmatisation and the pressure around arguments that centre on personal responsibility for obesity. BMJ Publishing Group 2019-06-12 /pmc/articles/PMC7062326/ /pubmed/31196930 http://dx.doi.org/10.1136/bmjhci-2019-000026 Text en © Author(s) (or their employer(s)) 2019. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/. |
spellingShingle | Original Research Cuccu, Zara Abi-Aad, Gerrard Duggal, Allison Characteristics of patients with body mass index recorded within the Kent Integrated Dataset (KID) |
title | Characteristics of patients with body mass index recorded within the Kent Integrated Dataset (KID) |
title_full | Characteristics of patients with body mass index recorded within the Kent Integrated Dataset (KID) |
title_fullStr | Characteristics of patients with body mass index recorded within the Kent Integrated Dataset (KID) |
title_full_unstemmed | Characteristics of patients with body mass index recorded within the Kent Integrated Dataset (KID) |
title_short | Characteristics of patients with body mass index recorded within the Kent Integrated Dataset (KID) |
title_sort | characteristics of patients with body mass index recorded within the kent integrated dataset (kid) |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7062326/ https://www.ncbi.nlm.nih.gov/pubmed/31196930 http://dx.doi.org/10.1136/bmjhci-2019-000026 |
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