Hemoglobin and all-cause mortality in China elderly population with varying degree of body mass index: Analysis of CLHLS data / 中华内分泌代谢杂志
Chinese Journal of Endocrinology and Metabolism
; (12): 214-218, 2022.
Article
in Zh
| WPRIM
| ID: wpr-933393
Responsible library:
WPRO
ABSTRACT
To explore the association between hemoglobin and all-cause mortality in China elderly population varying level of body mass index. The data were from Chinese Longitudinal Healthy Longevity Survey 2008 to 2018. A total of 1 449 elderly participants were included with 247 lost to follow-up. According to the hemoglobin levels, the participants were divided into three groups low hemoglobin group (male<120 g/L, female<110 g/L), normal hemoglobin group (120 g/L≤male<160 g/L, 110 g/L≤female<150 g/L), and high hemoglobin group (male≥160 g/L, female≥150 g/L). According to the BMI levels, the data was divided into three groups overweight or obesity(BMI≥25 kg/m 2), normal weight(18.5 kg/m 2≤BMI<25 kg/m 2), and malnutrition (BMI<18.5 kg/m 2). Differences of association between hemoglobin and mortality were analyzed. In this dataset, the constituent ratio of anemia was 23.1%(334/1 449), and malnutrition was 26.6%(385/1 449). During the follow-up, a total of 778 participants died. Among whom, 233 cases(77.2%) were in the low hemoglobin group and 87 cases (55.4%) in the high hemoglobin group. In the BMI subgroup analysis, the people combined malnutrition and anemia had the highest cumulative mortality rate (79.1%), and the people with overweight and higher hemoglobin had a lower cumulative mortality rate (46.2%). In people with low BMI, increase in hemoglobin by one category reduced the risk of death by 0.572 (95% CI 0.446-0.734, P<0.001). In people with normal BMI, improvement in hemoglobin by one category reduced the risk of death by 0.717(95% CI 0.620-0.829, P<0.001). The reduction of hemoglobin levels increases the risk of all-cause mortality rate. And this correlation is particularly prominent in the population with low BMI.
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Index:
WPRIM
Language:
Zh
Journal:
Chinese Journal of Endocrinology and Metabolism
Year:
2022
Type:
Article