Shi J, Han X, Liao Y, Zhao H, Fan B, Zhang H, et al. Associations of stressful life events with subthreshold depressive symptoms and major depressive disorder: the moderating role of gender. J Affect Disord. 2023;325:588–95.
Google Scholar
Global regional. and national burden of 12 mental disorders in 204 countries and territories, 1990–2019: a systematic analysis for the Global Burden of Disease Study 2019. Lancet Psychiatry 2022; 9:137–150.
Anand A, Mathew SJ, Sanacora G, Murrough JW, Goes FS, Altinay M, et al. Ketamine versus ECT for nonpsychotic treatment-resistant major depression. N Engl J Med. 2023;388:2315–25.
Google Scholar
Sirtori CR, Corsini A, Ruscica M. The role of high-density lipoprotein cholesterol in 2022. Curr Atheroscler Rep. 2022;24:365–77.
Google Scholar
Groenen AG, Halmos B, Tall AR, Westerterp M. Cholesterol efflux pathways, inflammation, and atherosclerosis. Crit Rev Biochem Mol Biol. 2021;56:426–39.
Google Scholar
Beurel E, Toups M, Nemeroff CB. The bidirectional relationship of depression and inflammation: double trouble. Neuron. 2020;107:234–56.
Google Scholar
Oh J, Kim TS. Serum lipid levels in depression and suicidality: the Korea National health and nutrition examination survey (KNHANES) 2014. J Affect Disord. 2017;213:51–8.
Google Scholar
Zhang Q, Liu Z, Wang Q, Li X. Low cholesterol is not associated with depression: data from the 2005–2018 National health and nutrition examination survey. Lipids Health Dis. 2022;21:35.
Google Scholar
Zhong X, Ming J, Li C. Association between dyslipidemia and depression: a cross-sectional analysis of NHANES data from 2007 to 2018. BMC Psychiatry. 2024;24:893.
Google Scholar
Ertek S. High-density lipoprotein (HDL) dysfunction and the future of HDL. Curr Vasc Pharmacol. 2018;16:490–8.
Google Scholar
Piko P, Jenei T, Kosa Z, Sandor J, Kovacs N, Seres I, Paragh G, Adany R. Association of HDL subfraction profile with the progression of insulin resistance. Int J Mol Sci. 2023;24(17):13563.
Chapman MJ. HDL functionality in type 1 and type 2 diabetes: new insights. Curr Opin Endocrinol Diabetes Obes. 2022;29:112–23.
Google Scholar
Lam DW, LeRoith D et al. Metabolic Syndrome. In: Feingold KR, Ahmed SF, Anawalt B, eds. Endotext. South Dartmouth (MA): MDText.com, Inc.; February 11, 2019.
Jin ES, Shim JS, Kim SE, Bae JH, Kang S, Won JC, et al. Dyslipidemia fact sheet in South Korea, 2022. Diabetes Metab J. 2023;47:632–42.
Google Scholar
Zimmerman M. Using the 9-Item patient health questionnaire to screen for and monitor depression. JAMA. 2019;322:2125–6.
Google Scholar
Li X, Wang X, Park SK. Associations between rice consumption, arsenic metabolism, and insulin resistance in adults without diabetes. Int J Hyg Environ Health. 2021;237:113834.
Google Scholar
Friedrich N, Thuesen B, Jørgensen T, Juul A, Spielhagen C, Wallaschofksi H, et al. The association between IGF-I and insulin resistance: a general population study in Danish adults. Diabetes Care. 2012;35:768–73.
Google Scholar
Shen Y, Zhu Z, Bi X, Shen Y, Shen A, Deng B, et al. Association between insulin resistance indices and kidney stones: results from the 2015–2018 National health and nutrition examination survey. Front Nutr. 2024;11:1444049.
Google Scholar
Kianersi S, Liu Y, Guasch-Ferré M. Chronotype, unhealthy lifestyle, and diabetes risk in middle-aged U.S. women: a prospective cohort study. Ann Intern Med. 2023;176:1330–9.
Google Scholar
Huang Z. Association between blood lead level with high blood pressure in US (NHANES 1999–2018). Front Public Health. 2022;10:836357.
Google Scholar
Grams ME, Brunskill NJ, Ballew SH, Sang Y, Coresh J, Matsushita K, et al. The kidney failure risk equation: evaluation of novel input variables including eGFR estimated using the CKD-EPI 2021 equation in 59 cohorts. J Am Soc Nephrol. 2023;34:482–94.
Google Scholar
Wei X, Min Y, Xiang Z, Zeng Y, Wang J, Liu L. Joint association of physical activity and dietary quality with survival among US cancer survivors: a population-based cohort study. Int J Surg. 2024;110:5585–94.
Google Scholar
Piercy KL, Troiano RP, Ballard RM, Carlson SA, Fulton JE, Galuska DA, et al. The physical activity guidelines for Americans. JAMA. 2018;320:2020–8.
Google Scholar
Lin P, Liang Z, Wang M. Caffeine consumption and mortality in populations with different weight statuses: an analysis of NHANES 1999–2014. Nutrition. 2022;102:111731.
Google Scholar
Johnson CL, Paulose-Ram R, Ogden CL, Carroll MD, Kruszon-Moran D, Dohrmann SM, et al. National health and nutrition examination survey: analytic guidelines, 1999–2010. Vital Health Stat. 2013;2:1–24.
Google Scholar
Tahapary DL, Pratisthita LB, Fitri NA, Marcella C, Wafa S, Kurniawan F, et al. Challenges in the diagnosis of insulin resistance: focusing on the role of HOMA-IR and tryglyceride/glucose index. Diabetes Metab Syndr. 2022;16:102581.
Google Scholar
Bochem AE, Holleboom AG, Romijn JA, Hoekstra M, Dallinga-Thie GM, Motazacker MM, et al. High density lipoprotein as a source of cholesterol for adrenal steroidogenesis: a study in individuals with low plasma HDL-C. J Lipid Res. 2013;54:1698–704.
Google Scholar
Le-Ha C, Herbison CE, Beilin LJ, Burrows S, Henley DE, Lye SJ, et al. Hypothalamic-pituitary-adrenal axis activity under resting conditions and cardiovascular risk factors in adolescents. Psychoneuroendocrinology. 2016;66:118–24.
Google Scholar
Hayashi R, Tamada D, Murata M, Kitamura T, Mukai K, Maeda N, et al. Glucocorticoid replacement affects serum adiponectin levels and HDL-C in patients with secondary adrenal insufficiency. J Clin Endocrinol Metab. 2019;104:5814–22.
Google Scholar
Zajkowska Z, Gullett N, Walsh A, Zonca V, Pedersen GA, Souza L, et al. Cortisol and development of depression in adolescence and young adulthood – a systematic review and meta-analysis. Psychoneuroendocrinology. 2022;136:105625.
Google Scholar
Yu M, Dorsey KH, Halseth T, Schwendeman A. Enhancement of anti-inflammatory effects of synthetic high-density lipoproteins by incorporation of anionic lipids. Mol Pharm. 2023;20:5454–62.
Google Scholar
Yang L, Wang Y, Xu Y, Li K, Yin R, Zhang L, et al. Angptl3 is a novel HDL component that regulates HDL function. J Transl Med. 2024;22:263.
Google Scholar
Meng X, Han L, Fu J, Hu C, Lu Y. Associations between metabolic syndrome and depression, and the mediating role of inflammation: based on the NHANES database. J Affect Disord. 2025;375:214–21.
Google Scholar
Kang H, Song J, Cheng Y. HDL regulates the risk of cardiometabolic and inflammatory-related diseases: focusing on cholesterol efflux capacity. Int Immunopharmacol. 2024;138:112622.
Google Scholar
Lui DTW, Tan KCB. High-density lipoprotein in diabetes: structural and functional relevance. J Diabetes Investig. 2024;15:805–16.
Google Scholar
Mangat R, Borthwick F, Haase T, Jacome M, Nelson R, Kontush A, et al. Intestinal lymphatic HDL miR-223 and ApoA-I are reduced during insulin resistance and restored with niacin. FASEB J. 2018;32:1602–12.
Google Scholar
Ying X, Qian Y, Jiang Y, Jiang Z, Song Z, Zhao C. Association of the apolipoprotein B/apolipoprotein A-I ratio and low-density lipoprotein cholesterol with insulin resistance in a Chinese population with abdominal obesity. Acta Diabetol. 2012;49:465–72.
Google Scholar
Makaridze Z, Giorgadze E, Asatiani K. Association of the apolipoprotein b/apolipoprotein a-I ratio, metabolic syndrome components, total cholesterol, and low-density lipoprotein cholesterol with insulin resistance in the population of Georgia. Int J Endocrinol. 2014;2014:925650.
Google Scholar
Jakubowski H. The molecular bases of Anti-Oxidative and Anti-Inflammatory properties of paraoxonase 1. Antioxid (Basel). 2024;13(11):1292.
Doğan K, Şeneş M, Karaca A, Kayalp D, Kan S, Gülçelik NE, et al. HDL subgroups and their paraoxonase-1 activity in the obese, overweight and normal weight subjects. Int J Clin Pract. 2021;75:e14969.
Google Scholar
Krzystek-Korpacka M, Patryn E, Hotowy K, Czapińska E, Majda J, Kustrzeba-Wójcicka I, Noczyńska A, Gamian A. Paraoxonase (PON)-1 activity in overweight and obese children and adolescents: association with obesity-related inflammation and oxidative stress. Adv Clin Exp Med. 2013;22:229–36.
Google Scholar
Bortolasci CC, Vargas HO, Souza-Nogueira A, Barbosa DS, Moreira EG, Nunes SO, Berk M, Dodd S, Maes M. Lowered plasma paraoxonase (PON)1 activity is a trait marker of major depression and PON1 Q192R gene polymorphism-smoking interactions differentially predict the odds of major depression and bipolar disorder. J Affect Disord. 2014;159:23–30.
Google Scholar
Moreira EG, Correia DG, Bonifácio KL, Moraes JB, Cavicchioli FL, Nunes CS, et al. Lowered PON1 activities are strongly associated with depression and bipolar disorder, recurrence of (hypo)mania and depression, increased disability and lowered quality of life. World J Biol Psychiatry. 2019;20:368–80.
Google Scholar
Roberts CK, Ng C, Hama S, Eliseo AJ, Barnard RJ. Effect of a short-term diet and exercise intervention on inflammatory/anti-inflammatory properties of HDL in overweight/obese men with cardiovascular risk factors. J Appl Physiol (1985). 2006;101:1727–32.
Google Scholar
