Department of Neurology, Postgraduate Training Base Alliance of Wenzhou Medical University (WenzhouPeople's Hospital), Wenzhou, China.
Lipids Health Dis. 2024 Sep 27;23(1):307. doi: 10.1186/s12944-024-02303-w.
Existing literature on the impact of lipid accumulation product (LAP) and visceral adiposity index (VAI) on severe headache or migraine is limited. This study aims to elucidate the association between LAP and VAI and the prevalence of migraine.
Data for this study were sourced from the 1999-2004 National Health and Nutrition Examination Survey (NHANES). A database-self-administered questionnaire was used to assess severe headache or migraine. A weighted logistic regression model was employed to assess the relationship between LAP and VAI with migraine prevalence. Complementary analytical approaches included subgroup analysis, restricted cubic spline (RCS), and threshold effect analysis to validate the findings.
In the end, 4572 people were recruited for the research, including 880 with migraine and 3692 without migraine. Following adjustment for the relevant covariables, weighted logistic regression analysis (OR = 1.409, 95% CI: 1.054, 1.883, P = 0.022; OR = 1.288, 95% CI: 1.010, 1.642, P = 0.042) revealed significantly elevated odds of migraine prevalence in participants within the highest tertile (T3) of LAP and VAI than those in the lowest tertile (T1). The nonlinear association between migraine prevalence and both VAI and LAP was further elucidated through a restricted cubic spline. The threshold analysis pinpointed 2.142 (log-likelihood ratio = 0.016) as the critical inflection point for VAI. Subgroup analysis and interaction testing revealed the significant association was independent in different subgroup factors.
The data indicate a robust association between higher levels of LAP and VAI and an increased prevalence of migraine.
目前关于脂联素水平(LAP)和内脏脂肪指数(VAI)对严重头痛或偏头痛影响的文献有限。本研究旨在阐明 LAP 和 VAI 与偏头痛患病率之间的关系。
本研究的数据来自 1999-2004 年全国健康和营养检查调查(NHANES)。使用数据库自填式问卷评估严重头痛或偏头痛。采用加权逻辑回归模型评估 LAP 和 VAI 与偏头痛患病率之间的关系。补充分析方法包括亚组分析、限制性立方样条(RCS)和阈值效应分析,以验证研究结果。
最终,共纳入 4572 人进行研究,其中 880 人患有偏头痛,3692 人无偏头痛。在调整相关协变量后,加权逻辑回归分析(OR=1.409,95%CI:1.054,1.883,P=0.022;OR=1.288,95%CI:1.010,1.642,P=0.042)显示,LAP 和 VAI 最高三分位(T3)组参与者偏头痛患病率的优势比明显高于最低三分位(T1)组。通过限制性立方样条进一步阐明了偏头痛患病率与 VAI 和 LAP 之间的非线性关系。阈值分析确定 2.142(对数似然比=0.016)为 VAI 的临界拐点。亚组分析和交互检验表明,在不同亚组因素中,这种显著的相关性是独立的。
数据表明,较高的 LAP 和 VAI 水平与偏头痛患病率的增加之间存在密切关联。