Suppr超能文献

孟加拉国成年人口营养不足和营养过剩的人口统计学、社会经济和生活方式决定因素:一项大型横断面研究的结果。

Demographic, Socio-economic and Lifestyle Determinants of Under- and Over-nutrition among Bangladeshi Adult Population: Results from a Large Cross-Sectional Study.

机构信息

School of Public Health, North South University, Bangladesh.

Research and Evaluation Division, BRAC, BRAC Centre, 75 Mohakhali, Dhaka 1212, Bangladesh.

出版信息

J Epidemiol Glob Health. 2018 Dec;8(3-4):134-142. doi: 10.2991/j.jegh.2018.03.002.

Abstract

Bangladesh is currently going through a nutritional transition with rapid increase in overnutrition while undernutrition is still remaining prevalent. Nevertheless, population-based data on demographic, socio-economic and lifestyle factors associated with underweight and overweight among adult population is scarce. Employing a nationwide cross-sectional survey, we collected anthropometric, demographic, socio-economic, lifestyle and dietary information from 12,180 adults aged ≥35 years. Body Mass Index (BMI) was calculated using standard formula and categorized into underweight (<18.50), normal weight (18.50-22.99), and overweight (≥23.00). Multivariable multinomial logistic regression was performed to identify factors associated with underweight and overweight. Overall, prevalence of underweight and overweight was 18.1% (95% CI: 17.5-18.8) and 33.7% (95% CI: 32.9-34.6), respectively. All the demographic, socio-economic, dietary and lifestyle factors showed significant association with nutritional status in bivariate analysis. In adjusted analysis, factors showing significant positive association with underweight included female gender (ARRR-1.38, 95% CI: 1.11-1.71), older age [compared to 35-39 years age group, ARRR (95% CI) for ≥ 70 years is 2.32 (1.89-2.86), for 60-69 years is 1.62 (1.36-1.93), for 50-59 years 1.34 (1.13-1.58) and for 40-49 years 1.05 (0.87-1.15)] and smoking habit (ARRR-1.32, 95% CI: 1.14-1.52) while factors showing significant inverse association with underweight included higher household wealth [compared to lowest wealth quintile, ARRR (95% CI) for highest quintile is 0.68 (0.55-0.84), for second highest quintile 0.77 (0.65-0.91), for middle quintile 0.81 (0.69-0.94) and for second lowest quintile 0.89 (0.77-1.03)], urban residence (ARRR-0.66, 95% CI: 0.66-0.90), and more frequent meat/fish and fruits consumption (ARRR-0.76, 95% CI: 0.65-0.90). On the other hand, factors significantly associated with increased risk of overweight included female gender (ARRR-1.35, 95% CI: 1.12-1.63), higher household wealth [compared to lowest wealth quintile, ARRR (95% CI) for highest quintile is 2.27 (1.93-2.68), for second highest quintile 1.67 (1.44-1.94), for middle quintile 1.26 (1.10-1.46) and for second lowest quintile 1.07 (0.93-1.24), excess food availability [compared to food shortage, ARRR (95% CI) for excess food in the household is 1.29 (1.12-1.47) and for no shortage/no excess is 1.23 (1.09-1.38) and more frequent fruits consumption [compared to no fruits, ARRR (95% CI) for 5-7 days per week consumption is 1.61 (1.41-1.83) and for 3-4 days per week is 1.28 (1.16-1.41) and factors significantly associated with decreased risk of overweight included older age [compared to 35-39 years age group, ARRR (95% CI) for ≥ 70 years is 0.77 (0.64-0.93), for 60-69 years is 0.82 (0.71-0.94), for 50-59 years 0.91 (0.80-1.04) and for 40-49 years 1.01 (0.89-1.15)] and smoking (ARRR-0.76, 95% CI: 0.68-0.86). Both underweight and overweight are prevalent in Bangladeshi adult population. Several demographic, socio-economic, dietary and lifestyle factors are associated with underweight and overweight in Bangladesh. Population level impact of these factors should be examined to design suitable public health and nutrition interventions to address this dual challenge.

摘要

孟加拉国目前正经历营养转型,营养过剩迅速增加,而营养不良仍然普遍存在。然而,关于成年人口中体重不足和超重与人口统计学、社会经济和生活方式因素相关的基于人群的数据却很少。本研究采用全国性横断面调查,从 12180 名年龄≥35 岁的成年人中收集了人体测量学、人口统计学、社会经济、生活方式和饮食信息。使用标准公式计算体重指数(BMI),并将其分为体重不足(<18.50)、正常体重(18.50-22.99)和超重(≥23.00)。采用多变量多项逻辑回归分析与体重不足和超重相关的因素。总体而言,体重不足和超重的患病率分别为 18.1%(95%CI:17.5-18.8)和 33.7%(95%CI:32.9-34.6)。所有人口统计学、社会经济、饮食和生活方式因素在单变量分析中均与营养状况有显著关联。在调整分析中,与体重不足呈正相关的因素包括女性(ARR(95%CI):1.11-1.71)、年龄较大[与 35-39 岁年龄组相比,≥70 岁的 ARRR(95%CI)为 2.32(1.89-2.86),60-69 岁为 1.62(1.36-1.93),50-59 岁为 1.34(1.13-1.58),40-49 岁为 1.05(0.87-1.15)]和吸烟习惯(ARR(95%CI):1.14-1.52),而与体重不足呈负相关的因素包括较高的家庭财富[与最低财富五分位数相比,最高五分位数的 ARRR(95%CI)为 0.68(0.55-0.84),第二高五分位数为 0.77(0.65-0.91),中间五分位数为 0.81(0.69-0.94),第二低五分位数为 0.89(0.77-1.03)]、城市居住(ARR(95%CI):0.66(0.66-0.90))和更频繁地摄入肉类/鱼类和水果(ARR(95%CI):0.65-0.90)。另一方面,与超重风险增加相关的因素包括女性(ARR(95%CI):1.12-1.63)、较高的家庭财富[与最低财富五分位数相比,最高五分位数的 ARRR(95%CI)为 2.27(1.93-2.68),第二高五分位数为 1.67(1.44-1.94),中间五分位数为 1.26(1.10-1.46),第二低五分位数为 1.07(0.93-1.24)]、食物供应过剩[与食物短缺相比,家庭食物过剩的 ARRR(95%CI)为 1.29(1.12-1.47),没有食物短缺/过剩的 ARRR(95%CI)为 1.23(1.09-1.38)]和更频繁地摄入水果[与不吃水果相比,每周食用 5-7 天的 ARRR(95%CI)为 1.61(1.41-1.83),每周食用 3-4 天的 ARRR(95%CI)为 1.28(1.16-1.41)。与体重不足风险降低相关的因素包括年龄较大[与 35-39 岁年龄组相比,≥70 岁的 ARRR(95%CI)为 0.77(0.64-0.93),60-69 岁为 0.82(0.71-0.94),50-59 岁为 0.91(0.80-1.04),40-49 岁为 1.01(0.89-1.15)]和吸烟(ARR(95%CI):0.68-0.86)。体重不足和超重在孟加拉国成年人口中都很普遍。一些人口统计学、社会经济、饮食和生活方式因素与孟加拉国的体重不足和超重相关。应评估这些因素对人群的影响,以制定适合的公共卫生和营养干预措施,以应对这一双重挑战。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1cfb/7377563/023fbc786930/JEGH_8_3-4_134-g001.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