{"title":"Household Food Insecurity and Metabolic Syndrome in Adults: A Meta-Analysis.","authors":"Taiana Lemos Camargo, Viviane Locatelli Rupolo, Mileni Vanti Beretta, Anderson Garcez","doi":"10.1089/met.2024.0194","DOIUrl":null,"url":null,"abstract":"<p><p><b><i>Background:</i></b> Household food insecurity (HFI) refers to the lack of access to safe and nutritious food, and this condition may be associated with the occurrence of metabolic syndrome (MetS). Thus, this study aimed to conduct a quantitative synthesis (meta-analysis) to summarize the evidence from epidemiological studies on the association between HFI and MetS. <b><i>Methods:</i></b> A systematic search was conducted in the PubMed, Embase, Web of Science, and Latin American and Caribbean Health Sciences Information Center databases to retrieve epidemiological studies published until October 2023. The entire process of selection, data extraction, and assessment of article quality was independently performed by two reviewers. The quality of the studies was evaluated using the criteria proposed by the National Institutes of Health instrument. The random-effects model was used to report the quantitative synthesis of combined data. The <i>Q</i>-test and <i>I</i><sup>2</sup> index were used to assess heterogeneity. Egger's and Begg's tests were employed to evaluate publication bias. <b><i>Results:</i></b> A total of 10 articles meeting the eligibility criteria were selected and included in this meta-analysis. High heterogeneity was observed among the studies (<i>I</i><sup>2</sup> > 70), along with a low risk of publication bias. Considering all ten included studies, no statistically significant association was found between HFI and MetS (odds ratio = 1.17; 95% confidence interval: 0.89-1.55; <i>I</i><sup>2</sup> = 79.9%). <b><i>Conclusions:</i></b> The findings of this meta-analysis did not reveal a statistically significant association between HFI and MetS, indicating the need for further studies aimed at exploring and expanding the scientific evidence on this relationship.</p>","PeriodicalId":18405,"journal":{"name":"Metabolic syndrome and related disorders","volume":" ","pages":"175-185"},"PeriodicalIF":1.7000,"publicationDate":"2025-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Metabolic syndrome and related disorders","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1089/met.2024.0194","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/3/10 0:00:00","PubModel":"Epub","JCR":"Q4","JCRName":"MEDICINE, RESEARCH & EXPERIMENTAL","Score":null,"Total":0}
引用次数: 0
Abstract
Background: Household food insecurity (HFI) refers to the lack of access to safe and nutritious food, and this condition may be associated with the occurrence of metabolic syndrome (MetS). Thus, this study aimed to conduct a quantitative synthesis (meta-analysis) to summarize the evidence from epidemiological studies on the association between HFI and MetS. Methods: A systematic search was conducted in the PubMed, Embase, Web of Science, and Latin American and Caribbean Health Sciences Information Center databases to retrieve epidemiological studies published until October 2023. The entire process of selection, data extraction, and assessment of article quality was independently performed by two reviewers. The quality of the studies was evaluated using the criteria proposed by the National Institutes of Health instrument. The random-effects model was used to report the quantitative synthesis of combined data. The Q-test and I2 index were used to assess heterogeneity. Egger's and Begg's tests were employed to evaluate publication bias. Results: A total of 10 articles meeting the eligibility criteria were selected and included in this meta-analysis. High heterogeneity was observed among the studies (I2 > 70), along with a low risk of publication bias. Considering all ten included studies, no statistically significant association was found between HFI and MetS (odds ratio = 1.17; 95% confidence interval: 0.89-1.55; I2 = 79.9%). Conclusions: The findings of this meta-analysis did not reveal a statistically significant association between HFI and MetS, indicating the need for further studies aimed at exploring and expanding the scientific evidence on this relationship.
背景:家庭粮食不安全(HFI)是指无法获得安全和有营养的食物,这种情况可能与代谢综合征(MetS)的发生有关。因此,本研究旨在进行定量综合(meta分析),以总结流行病学研究中关于HFI与MetS之间关系的证据。方法:系统检索PubMed、Embase、Web of Science和Latin American and Caribbean Health Sciences Information Center数据库,检索截至2023年10月发表的流行病学研究。选择、数据提取和文章质量评估的整个过程由两位审稿人独立完成。研究的质量采用美国国立卫生研究院提出的标准进行评估。采用随机效应模型报道组合数据的定量综合。采用q检验和I2指数评估异质性。采用Egger’s和Begg’s检验评价发表偏倚。结果:共有10篇符合入选标准的文章被纳入本荟萃分析。在这些研究中观察到高度异质性(I2 bb0 70),同时发表偏倚风险较低。考虑所有纳入的10项研究,HFI和MetS之间未发现统计学上显著的关联(优势比= 1.17;95%置信区间:0.89-1.55;I2 = 79.9%)。结论:本荟萃分析的结果并未显示HFI与MetS之间存在统计学上显著的关联,表明需要进一步研究以探索和扩大这种关系的科学证据。
期刊介绍:
Metabolic Syndrome and Related Disorders is the only peer-reviewed journal focusing solely on the pathophysiology, recognition, and treatment of this major health condition. The Journal meets the imperative for comprehensive research, data, and commentary on metabolic disorder as a suspected precursor to a wide range of diseases, including type 2 diabetes, cardiovascular disease, stroke, cancer, polycystic ovary syndrome, gout, and asthma.
Metabolic Syndrome and Related Disorders coverage includes:
-Insulin resistance-
Central obesity-
Glucose intolerance-
Dyslipidemia with elevated triglycerides-
Low HDL-cholesterol-
Microalbuminuria-
Predominance of small dense LDL-cholesterol particles-
Hypertension-
Endothelial dysfunction-
Oxidative stress-
Inflammation-
Related disorders of polycystic ovarian syndrome, fatty liver disease (NASH), and gout