Temporal Trends in Cardiovascular Health Status Among Chinese School-Aged Children From 1989 to 2018: Multiwave Cross-Sectional Analysis
BackgroundDespite the release of updated metrics for Life’s Essential 8 (LE8), key indicators for assessing cardiovascular health (CVH) status, there is currently no report on their distribution among Chinese children. ObjectiveThis study aimed to assess the natio...
Main Authors: | , , , , , , , , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
JMIR Publications
2023-10-01
|
Series: | JMIR Public Health and Surveillance |
Online Access: | https://publichealth.jmir.org/2023/1/e45564 |
_version_ | 1797652975679700992 |
---|---|
author | Xijie Wang Bin Dong Feifei Huang Ji Zhang Rongxin He Shufa Du Jiguo Zhang Jun Ma Huijun Wang Bing Zhang Wannian Liang |
author_facet | Xijie Wang Bin Dong Feifei Huang Ji Zhang Rongxin He Shufa Du Jiguo Zhang Jun Ma Huijun Wang Bing Zhang Wannian Liang |
author_sort | Xijie Wang |
collection | DOAJ |
description |
BackgroundDespite the release of updated metrics for Life’s Essential 8 (LE8), key indicators for assessing cardiovascular health (CVH) status, there is currently no report on their distribution among Chinese children.
ObjectiveThis study aimed to assess the nationwide distribution of CVH in Chinese school-aged children using LE8 scores and analyze temporal changes in these scores over time.
MethodsParticipants aged 7 to 19 years from 11 waves (between 1989 and 2018) of the China Health and Nutrition Survey were included in this study. LE8 components were grouped into 2 domains of health behaviors (diet, physical activity, nicotine exposure, sleep) and health factors (BMI, blood lipids, blood glucose, blood pressure). Scores of overall CVH and each LE8 metric were calculated individually. Temporal changes were assessed with joint point regression models by rural and urban living residence. The causal relationships between health behaviors and health factors that changed the most over time were built with cross-lagged panel models.
ResultsA total of 21,921 participants, 52.6% (n=11,537) of whom were male, who had data for at least 4 CVH components were included in the analysis. The mean age was 13 (SD 3.6) years. The overall CVH score remained stable in most regions, with the lowest found in Shandong from East China, which had a mean between 67 (SD 10.9) and 67.2 (SD 12.4). In contrast, the highest score was found in Guizhou from Southwest China, with a mean between 71.4 (SD 10.8) and 74.3 (SD 10.3). In rural areas, the diet score decreased significantly from 1997 onward with a speed of 0.18 (95% CI: 0.15-0.21; P<.001) per year, and the BMI score decreased significantly from 2005 onward with a speed of 0.56 (95% CI 0.44-0.68; P<.001) per year. In urban areas, the diet score decreased from 1994 onward with a speed of 0.03 (95% CI: 0.001-0.07; P=.04) per year, and the BMI score decreased from 2002 onward with a speed of 0.63 (95% CI 0.47-0.79; P<.001) per year. The sleep score dropped constantly in both urban and rural areas, with a speed of 0.69 (95% CI 0.58-0.80; P<.001) and 0.69 (95% CI: 0.52-0.86; P<.001) per year, respectively. A decline in the diet score led to a decline in the BMI score with a coefficient of 0.190 (95% CI 0.030-0.351; P=.02), while a decline in the BMI score led to a decline in sleep health with a coefficient of 0.089 (95% CI 0.010-0.168; P=.03).
ConclusionsChinese school-aged children and adolescents were generally of moderate CVH status, but mutual influences existed between CVH metrics. Dietary interventions should be prioritized for promoting overall CVH in the future. |
first_indexed | 2024-03-11T16:36:44Z |
format | Article |
id | doaj.art-044837a7196e48caa375d899fdbb9692 |
institution | Directory Open Access Journal |
issn | 2369-2960 |
language | English |
last_indexed | 2024-03-11T16:36:44Z |
publishDate | 2023-10-01 |
publisher | JMIR Publications |
record_format | Article |
series | JMIR Public Health and Surveillance |
spelling | doaj.art-044837a7196e48caa375d899fdbb96922023-10-23T14:15:33ZengJMIR PublicationsJMIR Public Health and Surveillance2369-29602023-10-019e4556410.2196/45564Temporal Trends in Cardiovascular Health Status Among Chinese School-Aged Children From 1989 to 2018: Multiwave Cross-Sectional AnalysisXijie Wanghttps://orcid.org/0000-0002-2035-4311Bin Donghttps://orcid.org/0000-0002-8123-4401Feifei Huanghttps://orcid.org/0000-0002-7496-4908Ji Zhanghttps://orcid.org/0000-0001-7430-366XRongxin Hehttps://orcid.org/0000-0002-9036-3416Shufa Duhttps://orcid.org/0000-0003-1156-0866Jiguo Zhanghttps://orcid.org/0000-0003-3266-8999Jun Mahttps://orcid.org/0000-0002-6301-2848Huijun Wanghttps://orcid.org/0000-0002-8064-4564Bing Zhanghttps://orcid.org/0000-0002-8399-9061Wannian Lianghttps://orcid.org/0000-0003-1764-5502 BackgroundDespite the release of updated metrics for Life’s Essential 8 (LE8), key indicators for assessing cardiovascular health (CVH) status, there is currently no report on their distribution among Chinese children. ObjectiveThis study aimed to assess the nationwide distribution of CVH in Chinese school-aged children using LE8 scores and analyze temporal changes in these scores over time. MethodsParticipants aged 7 to 19 years from 11 waves (between 1989 and 2018) of the China Health and Nutrition Survey were included in this study. LE8 components were grouped into 2 domains of health behaviors (diet, physical activity, nicotine exposure, sleep) and health factors (BMI, blood lipids, blood glucose, blood pressure). Scores of overall CVH and each LE8 metric were calculated individually. Temporal changes were assessed with joint point regression models by rural and urban living residence. The causal relationships between health behaviors and health factors that changed the most over time were built with cross-lagged panel models. ResultsA total of 21,921 participants, 52.6% (n=11,537) of whom were male, who had data for at least 4 CVH components were included in the analysis. The mean age was 13 (SD 3.6) years. The overall CVH score remained stable in most regions, with the lowest found in Shandong from East China, which had a mean between 67 (SD 10.9) and 67.2 (SD 12.4). In contrast, the highest score was found in Guizhou from Southwest China, with a mean between 71.4 (SD 10.8) and 74.3 (SD 10.3). In rural areas, the diet score decreased significantly from 1997 onward with a speed of 0.18 (95% CI: 0.15-0.21; P<.001) per year, and the BMI score decreased significantly from 2005 onward with a speed of 0.56 (95% CI 0.44-0.68; P<.001) per year. In urban areas, the diet score decreased from 1994 onward with a speed of 0.03 (95% CI: 0.001-0.07; P=.04) per year, and the BMI score decreased from 2002 onward with a speed of 0.63 (95% CI 0.47-0.79; P<.001) per year. The sleep score dropped constantly in both urban and rural areas, with a speed of 0.69 (95% CI 0.58-0.80; P<.001) and 0.69 (95% CI: 0.52-0.86; P<.001) per year, respectively. A decline in the diet score led to a decline in the BMI score with a coefficient of 0.190 (95% CI 0.030-0.351; P=.02), while a decline in the BMI score led to a decline in sleep health with a coefficient of 0.089 (95% CI 0.010-0.168; P=.03). ConclusionsChinese school-aged children and adolescents were generally of moderate CVH status, but mutual influences existed between CVH metrics. Dietary interventions should be prioritized for promoting overall CVH in the future.https://publichealth.jmir.org/2023/1/e45564 |
spellingShingle | Xijie Wang Bin Dong Feifei Huang Ji Zhang Rongxin He Shufa Du Jiguo Zhang Jun Ma Huijun Wang Bing Zhang Wannian Liang Temporal Trends in Cardiovascular Health Status Among Chinese School-Aged Children From 1989 to 2018: Multiwave Cross-Sectional Analysis JMIR Public Health and Surveillance |
title | Temporal Trends in Cardiovascular Health Status Among Chinese School-Aged Children From 1989 to 2018: Multiwave Cross-Sectional Analysis |
title_full | Temporal Trends in Cardiovascular Health Status Among Chinese School-Aged Children From 1989 to 2018: Multiwave Cross-Sectional Analysis |
title_fullStr | Temporal Trends in Cardiovascular Health Status Among Chinese School-Aged Children From 1989 to 2018: Multiwave Cross-Sectional Analysis |
title_full_unstemmed | Temporal Trends in Cardiovascular Health Status Among Chinese School-Aged Children From 1989 to 2018: Multiwave Cross-Sectional Analysis |
title_short | Temporal Trends in Cardiovascular Health Status Among Chinese School-Aged Children From 1989 to 2018: Multiwave Cross-Sectional Analysis |
title_sort | temporal trends in cardiovascular health status among chinese school aged children from 1989 to 2018 multiwave cross sectional analysis |
url | https://publichealth.jmir.org/2023/1/e45564 |
work_keys_str_mv | AT xijiewang temporaltrendsincardiovascularhealthstatusamongchineseschoolagedchildrenfrom1989to2018multiwavecrosssectionalanalysis AT bindong temporaltrendsincardiovascularhealthstatusamongchineseschoolagedchildrenfrom1989to2018multiwavecrosssectionalanalysis AT feifeihuang temporaltrendsincardiovascularhealthstatusamongchineseschoolagedchildrenfrom1989to2018multiwavecrosssectionalanalysis AT jizhang temporaltrendsincardiovascularhealthstatusamongchineseschoolagedchildrenfrom1989to2018multiwavecrosssectionalanalysis AT rongxinhe temporaltrendsincardiovascularhealthstatusamongchineseschoolagedchildrenfrom1989to2018multiwavecrosssectionalanalysis AT shufadu temporaltrendsincardiovascularhealthstatusamongchineseschoolagedchildrenfrom1989to2018multiwavecrosssectionalanalysis AT jiguozhang temporaltrendsincardiovascularhealthstatusamongchineseschoolagedchildrenfrom1989to2018multiwavecrosssectionalanalysis AT junma temporaltrendsincardiovascularhealthstatusamongchineseschoolagedchildrenfrom1989to2018multiwavecrosssectionalanalysis AT huijunwang temporaltrendsincardiovascularhealthstatusamongchineseschoolagedchildrenfrom1989to2018multiwavecrosssectionalanalysis AT bingzhang temporaltrendsincardiovascularhealthstatusamongchineseschoolagedchildrenfrom1989to2018multiwavecrosssectionalanalysis AT wannianliang temporaltrendsincardiovascularhealthstatusamongchineseschoolagedchildrenfrom1989to2018multiwavecrosssectionalanalysis |