Suppr超能文献

壮族成年人群中饮食、社会人口学和人体测量学因素与贫血的关联:中国广西壮族自治区的一项横断面研究

Associations of dietary, sociodemographic, and anthropometric factors with anemia among the Zhuang ethnic adults: a cross-sectional study in Guangxi Zhuang Autonomous Region, China.

作者信息

Wen Zheng, Long Jianxiong, Zhu Lulu, Liu Shun, Zeng Xiaoyun, Huang Dongping, Qiu Xiaoqiang, Su Li

机构信息

Department of Epidemiology and Health Statistics, School of Public Health, Guangxi Medical University, 22 Shuangyong Road, Nanning, 530021, Guangxi, China.

Guangxi Colleges and Universities Key Laboratory of Prevention and Control of Highly Prevalent Diseases, Guangxi Medical University, Nanning, 530021, Guangxi, China.

出版信息

BMC Public Health. 2023 Oct 6;23(1):1934. doi: 10.1186/s12889-023-16697-2.

Abstract

BACKGROUND

After decades of rapid economic development, anemia remains a significant public health challenge globally. This study aimed to estimate the associations of sociodemographic, dietary, and body composition factors with anemia among the Zhuang in Guangxi Zhuang Autonomous Region, China.

METHODS

Our study population from the baseline survey of the Guangxi ethnic minority Cohort Study of Chronic Diseases consisted of 13,465 adults (6,779 women and 6,686 men) aged 24-82 years. A validated interviewer-administered laptop-based questionnaire system was used to collect information on participants' sociodemographic, lifestyle, and dietary factors. Each participant underwent a physical examination, and hematological indices were measured. Least absolute shrinkage and selection operator (LASSO) regression was used to select the variables, and logistic regression was applied to estimate the associations of independent risk factors with anemia.

RESULTS

The overall prevalences of anemia in men and women were 9.63% (95% CI: 8.94-10.36%) and 18.33% (95% CI: 17.42─19.28%), respectively. LASSO and logistic regression analyses showed that age was positively associated with anemia for both women and men. For diet in women, red meat consumption for 5-7 days/week (OR = 0.79, 95% CI: 0.65-0.98, p = 0.0290) and corn/sweet potato consumption for 5-7 days/week (OR = 0.73, 95% CI: 0.55-0.96, p = 0.0281) were negatively associated with anemia. For men, fruit consumption for 5-7 days/week (OR = 0.75, 95% CI: 0.60-0.94, p = 0.0130) and corn/sweet potato consumption for 5-7 days/week (OR = 0.66, 95% CI: 0.46-0.91, p = 0.0136) were negatively correlated with anemia. Compared with a normal body water percentage (55-65%), a body water percentage below normal (< 55%) was negatively related to anemia (OR = 0.68, 95% CI: 0.53-0.86, p = 0.0014). Conversely, a body water percentage above normal (> 65%) was positively correlated with anemia in men (OR = 1.73, 95% CI: 1.38-2.17, p < 0.0001).

CONCLUSIONS

Anemia remains a moderate public health problem for premenopausal women and the elderly population in the Guangxi Zhuang minority region. The prevention of anemia at the population level requires multifaceted intervention measures according to sex and age, with a focus on dietary factors and the control of body composition.

摘要

背景

经过数十年的快速经济发展,贫血在全球范围内仍是一项重大的公共卫生挑战。本研究旨在评估中国广西壮族自治区壮族人群中社会人口学、饮食和身体成分因素与贫血之间的关联。

方法

我们从广西少数民族慢性病队列研究的基线调查中选取了13465名年龄在24至82岁之间的成年人(6779名女性和6686名男性)作为研究对象。采用经过验证的基于笔记本电脑的访谈式问卷系统收集参与者的社会人口学、生活方式和饮食因素信息。每位参与者都接受了体格检查,并测量了血液学指标。使用最小绝对收缩和选择算子(LASSO)回归来选择变量,并应用逻辑回归来评估独立危险因素与贫血之间的关联。

结果

男性和女性贫血的总体患病率分别为9.63%(95%CI:8.94 - 10.36%)和18.33%(95%CI:17.42─19.28%)。LASSO和逻辑回归分析表明,年龄与男性和女性的贫血均呈正相关。对于女性饮食,每周食用5 - 7天红肉(OR = 0.79,95%CI:0.65 - 0.98,p = 0.0290)和每周食用5 - 7天玉米/红薯(OR = 0.73,95%CI:0.55 - 0.96,p = 0.0281)与贫血呈负相关。对于男性,每周食用5 - 7天水果(OR = 0.75,95%CI:0.60 - 0.94,p = 0.0130)和每周食用5 - 7天玉米/红薯(OR = 0.66,95%CI:0.46 - 0.91,p = 0.0136)与贫血呈负相关。与正常身体水分百分比(55 - 65%)相比,身体水分百分比低于正常水平(< 55%)与贫血呈负相关(OR = 0.68,95%CI:0.53 - 0.86,p = 0.0014)。相反,身体水分百分比高于正常水平(> 65%)与男性贫血呈正相关(OR = 1.73,95%CI:1.38 - 2.17,p < 0.0001)。

结论

贫血在广西壮族少数民族地区的绝经前女性和老年人群中仍然是一个中度的公共卫生问题。在人群层面预防贫血需要根据性别和年龄采取多方面的干预措施,重点关注饮食因素和身体成分的控制。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7a89/10557179/d7a064e82cb3/12889_2023_16697_Fig1_HTML.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验