Association between geriatric nutritional risk index and depression prevalence in the elderly population in NHANES

作者全名："Li, Zijiao; Zhang, Li; Yang, Qiankun; Zhou, Xiang; Yang, Meng; Zhang, Yu; Li, Youzan"

作者地址："[Li, Zijiao; Zhou, Xiang; Yang, Meng; Li, Youzan] Army Med Univ, Affiliated Hosp 1, Nephrol Dept, Chongqing 400038, Peoples R China; [Zhang, Li] Chongqing Med Univ, Natl Clin Res Ctr Child Hlth & Disorders, Key Lab Child Dev & Disorders, Childrens Hosp,Chongqing Key Lab Pediat,Dept Neuro, Chongqing 400014, Peoples R China; [Zhang, Yu] Chongqing Med Univ, Affiliated Hosp 2, Dept Dermatol, Chongqing 400010, Peoples R China; [Yang, Qiankun] Army Med Univ, Southwest Hosp, Natl & Reg United Engn Lab Tissue Engn, Dept Orthoped, Chongqing 400038, Peoples R China"

通信作者："Li, YZ (通讯作者)，Army Med Univ, Affiliated Hosp 1, Nephrol Dept, Chongqing 400038, Peoples R China.; Zhang, Y (通讯作者)，Chongqing Med Univ, Affiliated Hosp 2, Dept Dermatol, Chongqing 400010, Peoples R China."

来源：BMC PUBLIC HEALTH

ESI学科分类：SOCIAL SCIENCES, GENERAL

WOS号：WOS:001162678800003

JCR分区：Q1

影响因子：3.5

年份：2024

卷号：24

期号：1

开始页：　

结束页：　

文献类型：Article

关键词：Geriatric nutritional risk index; Depression; Older adults; NHANES database; Depression prevention; Statistical analysis

摘要："Background The prevalence of depression is increasing in the elderly population, and growing evidence suggests that malnutrition impacts mental health. Despites, research on the factors that predict depression is limited. Methods We included 2946 elderly individuals from National Health and Nutrition Examination Survey (NHANES) spanning the years 2011 through 2014. Depressive symptoms were assessed using the PHQ-9 scale. Multinomial logistic regression was performed to evaluate the independent association between Geriatric Nutritional Risk Index (GNRI) and depression prevalence and scores. Subgroup analysis was conducted to explore potential factors influencing the negative correlation between GNRI and depression. Restricted cubic spline graph was employed to examine the presence of a non-linear relationship between GNRI and depression. Results The depression group had a significantly lower GNRI than the non-depression group, and multivariate logistic regression showed that GNRI was a significant predictor of depression (P < 0.001). Subgroup analysis revealed that certain demographic characteristics were associated with a lower incidence of depression in individuals affected by GNRIs. These characteristics included being female (P < 0.0001), non-Hispanic black (P = 0.0003), having a moderate BMI (P = 0.0005), having a college or associates (AA) degree (P = 0.0003), being married (P = 0.0001), having a PIR between 1.50 and 3.49 (P = 0.0002), being a former smoker (P = 0.0002), and having no history of cardiovascular disease (P < 0.0001), hypertension (P < 0.0001), and diabetes (P = 0.0027). Additionally, a non-linear negative correlation (non-linear P < 0.01) was found between GNRI and depression prevalence, with a threshold identified at GNRI = 104.17814. Conclusion The GNRI demonstrates efficacy as a reliable indicator for forecasting depression in the elderly population. It exhibits a negative nonlinear correlation with the prevalence of depression among geriatric individuals."

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