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Social and spatial inequalities in allostatic load among adults in China: a multilevel longitudinal study
OBJECTIVES: To investigate potential geographical and socioeconomic patterning of allostatic load (AL) in China. DESIGN: Multilevel longitudinal study of the 2010 Chronic Disease Risk Factor Surveillance linked to the National Death Surveillance up to 31 December 2015. SETTING: All 31 provinces in C...
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/PMC6924714/ https://www.ncbi.nlm.nih.gov/pubmed/31784439 http://dx.doi.org/10.1136/bmjopen-2019-031366 |
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author | Mao, Fan Astell-Burt, Thomas Feng, Xiaoqi Liu, Yunning Dong, Jianqun Liu, Shiwei Wang, Lijun Jiang, Yingying Dong, Wenlan Zhou, Maigeng Wang, Limin |
author_facet | Mao, Fan Astell-Burt, Thomas Feng, Xiaoqi Liu, Yunning Dong, Jianqun Liu, Shiwei Wang, Lijun Jiang, Yingying Dong, Wenlan Zhou, Maigeng Wang, Limin |
author_sort | Mao, Fan |
collection | PubMed |
description | OBJECTIVES: To investigate potential geographical and socioeconomic patterning of allostatic load (AL) in China. DESIGN: Multilevel longitudinal study of the 2010 Chronic Disease Risk Factor Surveillance linked to the National Death Surveillance up to 31 December 2015. SETTING: All 31 provinces in China, not including Hong Kong, Macao or Taiwan. PARTICIPANTS: 96 466 ≥ 18 years old (women=54.3%). EXPOSURES: Person-level educational attainment and mean years of education in counties. OUTCOME: AL was measured using clinical guidelines for nine biomarkers: body mass index; waist circumference; systolic blood pressure; diastolic blood pressure; fasting blood glucose; total cholesterol; triglycerides; high-density lipoprotein cholesterol; low-density lipoprotein cholesterol. RESULTS: Multilevel logistic regressions adjusted for sex, age, marital status, person-level education, county mean years of education and urban/rural reported ORs of 1.22 (95% CI 1.08 to 1.38) for 5-year all-cause mortality (n=3284) and 1.20 (1.04–1.37) for deaths from non-communicable diseases (n=2891) among people in AL quintile 5 (high) compared with quintile 1 (low). The median rate ratio estimated from unadjusted multilevel negative binomial regression showed AL clustered geographically (province=1.14; county=1.12; town=1.11; village=1.14). After adjusting for aforementioned confounders, AL remained higher with age (rate ratio 1.02, 95% CI 1.02 to 1.02), higher in women compared with men (1.17, 1.15 to 1.19), lower among singletons (0.83, 0.81 to 0.85) and widowers (0.96, 0.94 to 0.98). AL was lower among people with university-level compared with no education (0.92, 0.89 to 0.96), but higher in counties with higher mean education years (1.03, 1.01 to 1.05). A two-way interaction suggested AL was higher (1.04, 1.02 to 1.06) among those with university-level compared with no education within counties with higher mean years of education. Similar results were observed for alternative constructions of AL using 75th and 80th percentile cut-points. CONCLUSIONS: AL in China is patterned geographically. The degree of association between AL and person-level education seems to be dependent on area-level education, which may be a proxy for other contextual factors that warrant investigation. |
format | Online Article Text |
id | pubmed-6924714 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | BMJ Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-69247142020-01-02 Social and spatial inequalities in allostatic load among adults in China: a multilevel longitudinal study Mao, Fan Astell-Burt, Thomas Feng, Xiaoqi Liu, Yunning Dong, Jianqun Liu, Shiwei Wang, Lijun Jiang, Yingying Dong, Wenlan Zhou, Maigeng Wang, Limin BMJ Open Epidemiology OBJECTIVES: To investigate potential geographical and socioeconomic patterning of allostatic load (AL) in China. DESIGN: Multilevel longitudinal study of the 2010 Chronic Disease Risk Factor Surveillance linked to the National Death Surveillance up to 31 December 2015. SETTING: All 31 provinces in China, not including Hong Kong, Macao or Taiwan. PARTICIPANTS: 96 466 ≥ 18 years old (women=54.3%). EXPOSURES: Person-level educational attainment and mean years of education in counties. OUTCOME: AL was measured using clinical guidelines for nine biomarkers: body mass index; waist circumference; systolic blood pressure; diastolic blood pressure; fasting blood glucose; total cholesterol; triglycerides; high-density lipoprotein cholesterol; low-density lipoprotein cholesterol. RESULTS: Multilevel logistic regressions adjusted for sex, age, marital status, person-level education, county mean years of education and urban/rural reported ORs of 1.22 (95% CI 1.08 to 1.38) for 5-year all-cause mortality (n=3284) and 1.20 (1.04–1.37) for deaths from non-communicable diseases (n=2891) among people in AL quintile 5 (high) compared with quintile 1 (low). The median rate ratio estimated from unadjusted multilevel negative binomial regression showed AL clustered geographically (province=1.14; county=1.12; town=1.11; village=1.14). After adjusting for aforementioned confounders, AL remained higher with age (rate ratio 1.02, 95% CI 1.02 to 1.02), higher in women compared with men (1.17, 1.15 to 1.19), lower among singletons (0.83, 0.81 to 0.85) and widowers (0.96, 0.94 to 0.98). AL was lower among people with university-level compared with no education (0.92, 0.89 to 0.96), but higher in counties with higher mean education years (1.03, 1.01 to 1.05). A two-way interaction suggested AL was higher (1.04, 1.02 to 1.06) among those with university-level compared with no education within counties with higher mean years of education. Similar results were observed for alternative constructions of AL using 75th and 80th percentile cut-points. CONCLUSIONS: AL in China is patterned geographically. The degree of association between AL and person-level education seems to be dependent on area-level education, which may be a proxy for other contextual factors that warrant investigation. BMJ Publishing Group 2019-11-28 /pmc/articles/PMC6924714/ /pubmed/31784439 http://dx.doi.org/10.1136/bmjopen-2019-031366 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 | Epidemiology Mao, Fan Astell-Burt, Thomas Feng, Xiaoqi Liu, Yunning Dong, Jianqun Liu, Shiwei Wang, Lijun Jiang, Yingying Dong, Wenlan Zhou, Maigeng Wang, Limin Social and spatial inequalities in allostatic load among adults in China: a multilevel longitudinal study |
title | Social and spatial inequalities in allostatic load among adults in China: a multilevel longitudinal study |
title_full | Social and spatial inequalities in allostatic load among adults in China: a multilevel longitudinal study |
title_fullStr | Social and spatial inequalities in allostatic load among adults in China: a multilevel longitudinal study |
title_full_unstemmed | Social and spatial inequalities in allostatic load among adults in China: a multilevel longitudinal study |
title_short | Social and spatial inequalities in allostatic load among adults in China: a multilevel longitudinal study |
title_sort | social and spatial inequalities in allostatic load among adults in china: a multilevel longitudinal study |
topic | Epidemiology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6924714/ https://www.ncbi.nlm.nih.gov/pubmed/31784439 http://dx.doi.org/10.1136/bmjopen-2019-031366 |
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