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BMC Public Health
Published in: BMC Public Health 1/2024

Open Access 01-12-2024 | Mood Disorders | Research

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

Authors: Zijiao Li, Li Zhang, Qiankun Yang, Xiang Zhou, Meng Yang, Yu Zhang, Youzan Li

Published in: BMC Public Health | Issue 1/2024

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Abstract

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.
Literature
1.
X TH, C ZMWZLLL, F Y. Prevalence of depression in older adults: a systematic review and meta-analysis. Psychiatry Res. 2022;311:114511.CrossRef
2.
O P: Older adults and late-life depression. J PsychoSoc Nurs Ment Health Serv 2023, 61(4):8–9.
3.
Hidese S, Asano S, Saito K, Sasayama D, Kunugi H. Association of depression with body mass index classification, metabolic disease, and lifestyle: a web-based survey involving 11,876 Japanese people. J Psychiatr Res. 2018;102:23–8.CrossRefPubMed
4.
Mahemuti N, Jing X, Zhang N, Liu C, Li C, Cui Z, Liu Y, Chen J. Association between systemic immunity-inflammation index and hyperlipidemia: a Population-based study from the NHANES (2015–2020). Nutrients 2023, 15(5).
5.
Gómez-Gómez I, Bellón JÁ, Resurrección DM, Cuijpers P, Moreno-Peral P, Rigabert A, Maderuelo-Fernández JÁ, Motrico E. Effectiveness of universal multiple-risk lifestyle interventions in reducing depressive symptoms: systematic review and meta-analysis. Prev Med. 2020;134:106067.CrossRefPubMed
6.
A P-C, A S-V, M B-R, A G PM, F L-R. MÁ M-G: relationship between adherence to Dietary approaches to stop hypertension (DASH) diet indices and incidence of depression during up to 8 years of follow-up. Public Health Nutr. 2017;20(13):2383–92.CrossRef
7.
Bouillanne O, Morineau G, Dupont C, Coulombel I, Vincent J-P, Nicolis I, Benazeth S, Cynober L, Aussel C. Geriatric nutritional risk index: a new index for evaluating at-risk elderly medical patients. Am J Clin Nutr. 2005;82(4):777–83.CrossRefPubMed
8.
W H, Y X. Association of geriatric nutritional risk index with the risk of osteoporosis in the elderly population in the NHANES. Front Endocrinol. 2022;13:965487.CrossRefADS
9.
X C. Y C, Y L, J C, S G: Lower geriatric nutritional risk index is associated with a higher risk of all-cause mortality in patients with chronic obstructive pulmonary disease: a cohort study from the National Health and Nutrition Examination Survey 2013–2018. BMJ open Respiratory Res 2023, 10(1).
10.
X H, M MWDGYZXHWL. Geriatric nutrition risk index in the prediction of all-cause and cardiovascular mortality in elderly hypertensive population: NHANES 1999–2016. Front Cardiovasc Med. 2023;10:1203130.CrossRef
11.
K K, RL S. The PHQ-9: validity of a brief depression severity measure. J Gen Intern Med. 2001;16(9):606–13.CrossRef
12.
Costantini L, Pasquarella C, Odone A, Colucci ME, Costanza A, Serafini G, Aguglia A, Belvederi Murri M, Brakoulias V, Amore M, et al. Screening for depression in primary care with Patient Health Questionnaire-9 (PHQ-9): a systematic review. J Affect Disord. 2021;279:473–83.CrossRefPubMed
13.
Patel JS, Oh Y, Rand KL, Wu W, Cyders MA, Kroenke K, Stewart JC. Measurement invariance of the patient health questionnaire-9 (PHQ-9) depression screener in U.S. adults across sex, race/ethnicity, and education level: NHANES 2005–2016. Depress Anxiety. 2019;36(9):813–23.CrossRefPubMedPubMedCentral
14.
15.
Z NMXJNZCLCL. C, Y L, J C: Association between systemic immunity-inflammation index and hyperlipidemia: a Population-based study from the NHANES (2015–2020). Nutrients 2023, 15(5).
16.
Wang K, Mao Y, Lu M, Ding Y, Li Z, Li Y, Liu X, Sun Y, Hong J, Xu D, et al. Association between migraine and cardiovascular disease: a cross-sectional study. Front Cardiovasc Med. 2022;9:1044465.CrossRefPubMedPubMedCentral
17.
Liu M, Fan F, Liu B, Jia J, Jiang Y, Sun P, He D, Liu J, Li Y, Huo Y, et al. Joint effects of plasma Homocysteine Concentration and Traditional Cardiovascular Risk factors on the risk of New-Onset Peripheral arterial disease. Diabetes Metab Syndr Obes. 2020;13:3383–93.CrossRefPubMedPubMedCentral
18.
Third Report of the National Cholesterol Education Program (NCEP). Expert Panel on detection, evaluation, and treatment of high blood cholesterol in adults (Adult Treatment Panel III) final report. Circulation. 2002;106(25):3143–421.CrossRef
19.
Johnson CL, Dohrmann SM, Burt VL, Mohadjer LK. National health and nutrition examination survey: sample design, 2011–2014. Vital Health Stat 2 2014(162).
20.
H E. Combining drugs improved hard-to-treat Depression in older adults. JAMA. 2023;329(13):1053.CrossRef
21.
C JT, C M, C ZYWXZHLJLYH. Prediction models for depression risk among older adults: systematic review and critical appraisal. Ageing Res Rev. 2023;83:101803.CrossRef
22.
MC P, SG C, K N LMC, DP C. T L: Homocysteine as a potential biochemical marker for depression in elderly stroke survivors. Food Nutr Res 2012, 56.
23.
Z YG. Vitamin D status and its association with season, depression in stroke. Neurosci Lett. 2019;690:99–105.CrossRef
24.
O’Loughlin J, Casanova F, Fairhurst-Hunter Z, Hughes A, Bowden J, Watkins ER, Freathy RM, Millwood IY, Lin K, Chen Z, et al. Mendelian randomisation study of body composition and depression in people of east Asian ancestry highlights potential setting-specific causality. BMC Med. 2023;21(1):37.CrossRefPubMedPubMedCentral
25.
Pan L, Li L, Peng H, Fan L, Liao J, Wang M, Tan A, Zhang Y. Association of depressive symptoms with marital status among the middle-aged and elderly in Rural China-serial mediating effects of sleep time, pain and life satisfaction. J Affect Disord. 2022;303:52–7.CrossRefPubMed
26.
Kim S, Oh J, Yun B, Cho A, Sim J, Yoon J-H. Secondhand smoke in the workplace is Associated with Depression in Korean Workers. Front Public Health. 2022;10:802083.CrossRefPubMedPubMedCentral
27.
Lee E, Kim KY. The Association between Secondhand smoke and stress, Depression, and suicidal ideation in adolescents. Healthc (Basel) 2021, 9(1).
Metadata
Title
Association between geriatric nutritional risk index and depression prevalence in the elderly population in NHANES
Authors
Zijiao Li
Li Zhang
Qiankun Yang
Xiang Zhou
Meng Yang
Yu Zhang
Youzan Li
Publication date
01-12-2024
Publisher
BioMed Central
Published in
BMC Public Health / Issue 1/2024
Electronic ISSN: 1471-2458
DOI
https://doi.org/10.1186/s12889-024-17925-z

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