Causal association study of relative fat mass index and risk of all-cause death in middle-aged and elderly women with hypertension

YANG Wenyan; LI Jing; TIAN Jing; YAN Zhijia; YANG Hong; YAN Jingjing; WANG Yajing; ZHANG Yanbo

doi:10.16462/j.cnki.zhjbkz.2024.10.006

Volume 28 Issue 10

Oct. 2024

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YANG Wenyan, LI Jing, TIAN Jing, YAN Zhijia, YANG Hong, YAN Jingjing, WANG Yajing, ZHANG Yanbo. Causal association study of relative fat mass index and risk of all-cause death in middle-aged and elderly women with hypertension[J]. CHINESE JOURNAL OF DISEASE CONTROL & PREVENTION, 2024, 28(10): 1149-1155. doi: 10.16462/j.cnki.zhjbkz.2024.10.006

Citation:

YANG Wenyan, LI Jing, TIAN Jing, YAN Zhijia, YANG Hong, YAN Jingjing, WANG Yajing, ZHANG Yanbo. Causal association study of relative fat mass index and risk of all-cause death in middle-aged and elderly women with hypertension[J]. CHINESE JOURNAL OF DISEASE CONTROL & PREVENTION, 2024, 28(10): 1149-1155. doi: 10.16462/j.cnki.zhjbkz.2024.10.006

Citation:

YANG Wenyan, LI Jing, TIAN Jing, YAN Zhijia, YANG Hong, YAN Jingjing, WANG Yajing, ZHANG Yanbo. Causal association study of relative fat mass index and risk of all-cause death in middle-aged and elderly women with hypertension[J]. CHINESE JOURNAL OF DISEASE CONTROL & PREVENTION, 2024, 28(10): 1149-1155. doi: 10.16462/j.cnki.zhjbkz.2024.10.006

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Causal association study of relative fat mass index and risk of all-cause death in middle-aged and elderly women with hypertension

doi: 10.16462/j.cnki.zhjbkz.2024.10.006

YANG Wenyan^{1, 2, 3},
LI Jing^{2, 3},
TIAN Jing⁴,
YAN Zhijia^{1, 2, 3},
YANG Hong^{2, 3},
YAN Jingjing^{2, 3},
WANG Yajing⁴,
ZHANG Yanbo^{2, 3
,
,}

1.
Academy of Medical Sciences, Shanxi Medical University, Taiyuan 030001, China
2.
Department of Health Statistic, School of Public Health, Shanxi Medical University, Taiyuan 030001, China
3.
Shanxi Provincial Key Laboratory of Major Diseases Risk Assessment, Taiyuan 030001, China
4.
Department of Cardiology, First Hospital of Shanxi Medical University, Taiyuan 030001, China

Funds:

National Natural Science Foundation of China 82173631

Special Project of Transformation of Scientific and Technological Achievements of Shanxi Province 202104021301063

Special Project of Science and Technology Innovation Talent Team of Shanxi Province 202204051001026

More Information

Corresponding author: ZHANG Yanbo, E-mail: sxmuzyb@126.com
Received Date: 2024-06-07
Rev Recd Date: 2024-09-25

Available Online: 2024-12-11

Publish Date: 2024-10-10

Abstract

Abstract

Objective This study aims to investigate the causal correlation between the relative fat mass index (RFM) and the risk of all-cause mortality among middle-aged and elderly Chinese women with hypertension. Additionally, it seeks to compare the causal correlation between RFM and the risk of all-cause mortality with that of BMI and the risk of all-cause mortality. Methods Based on the China health and retirement longitudinal study (CHARLS) database, this study took 1 958 participants who met the inclusion and exclusion criteria as research subjects.the study plotted restricted cubic splines (RCS) to determine the cut-off value for RFM and subsequently grouped participants accordingly. Logistic regression models were constructed to analyze the correlation of RFM groups and BMI groups in relation to the risk of all-cause mortality. Furthermore, the average causal effects of them on the risk of all-cause mortality will would be calculated by employing double robust estimation. Results The Logistic regression models showed that compared with the 39.30≤RFM≤42.10 group, both the RFM>42.10 group and the RFM < 39.30 group would increase the risk of all-cause mortality in patients. In comparison with the normal BMI group, the thin group increased the risk of all-cause mortality, while the overweight and obese groups reduced the risk. The double robust estimation revealed that in comparison to the 39.30≤RFM≤42.10 group, both the RFM>42.10 group and the RFM < 39.30 group would increase the risk of all-cause mortality, with average treatment effect (ATE) values of 4% respectively (95% CI: 0.006-0.074) and 12% (95% CI: 0.077-0.163). However, the other groups didn′t demonstrate a causal correlation with the risk of all-cause mortality when comparing with the normal BMI group. Conclusions There is a causal correlation between RFM and all-cause mortality risk in middle-aged and elderly female with hypertension patients in China. Reasonable control of RFM may help reduce the risk of all-cause mortality in these patients.
- China health and retirement longitudinal study,
- Relative fat mass,
- All-cause death,
- Body mass index,
- Causal association,
- Female hypertension

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References(16)

References

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