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ORIGINAL RESEARCH

Associations of Systematic Inflammatory Markers with Diet Quality, Blood Pressure, and Obesity in the AIRWAVE Health Monitoring Study

ORCID Icon, &
Pages 3129-3141 | Received 12 Jan 2024, Accepted 07 May 2024, Published online: 17 May 2024

References

  • Nurminen M-L, Korpela R, Vapaatalo H. Dietary factors in the pathogenesis and treatment of hypertension. Anna Med. 1998;30(2):143–150. doi:10.3109/07853899808999397
  • Hermansen K. Diet, blood pressure and hypertension. Br J Nutr. 2000;83(S1):S113–S119. doi:10.1017/S0007114500001045
  • Haslam D, James W. Obesity. Lancet. 2005;366(9492):1197–1209. doi:10.1016/S0140-6736(05)67483-1
  • Chooi YC, Ding C, Magkos F. The epidemiology of obesity. Metabolism. 2019;92:6–10. doi:10.1016/j.metabol.2018.09.005
  • Zhou B, Carrillo-Larco RM, Danaei G, et al. Worldwide trends in hypertension prevalence and progress in treatment and control from 1990 to 2019: a pooled analysis of 1201 population-representative studies with 104 million participants. Lancet. 2021;398(10304):957–980.
  • Monteiro R, Azevedo I. Chronic inflammation in obesity and the metabolic syndrome. Mediators Inflammation. 2010;2010:1–10. doi:10.1155/2010/289645
  • Bhat T, Teli S, Rijal J, et al. Neutrophil to lymphocyte ratio and cardiovascular diseases: a review. Expert Rev Cardiovasc Therap. 2013;11(1):55–59. doi:10.1586/erc.12.159
  • J-P X, Zeng R-X, Zhang Y-Z, et al. Systemic inflammation markers and the prevalence of hypertension: a NHANES cross-sectional study. Hypertens Res. 2023;46(4):1009–1019. doi:10.1038/s41440-023-01195-0
  • Balta S, Demırer Z, Aparci M, Yildirim AO, Ozturk C. The lymphocyte-monocyte ratio in clinical practice. J Clin Pathol. 2016;69(1):88–89. doi:10.1136/jclinpath-2015-203233
  • Balta S, Ozturk C. The platelet-lymphocyte ratio: a simple, inexpensive and rapid prognostic marker for cardiovascular events. Platelets. 2015;26(7):680–681. doi:10.3109/09537104.2014.979340
  • Hu B, Yang X-R, Xu Y, et al. Systemic immune-inflammation index predicts prognosis of patients after curative resection for hepatocellular carcinoma. Clin Cancer Res. 2014;20(23):6212–6222. doi:10.1158/1078-0432.CCR-14-0442
  • Meng X, Chang Q, Liu Y, et al. Determinant roles of gender and age on SII, PLR, NLR, LMR and MLR and their reference intervals defining in Henan, China: a posteriori and big‐data‐based. J Clin Lab Analysis. 2018;32(2):e22228. doi:10.1002/jcla.22228
  • Wang J, Zhang F, Jiang F, Hu L, Chen J, Wang Y. Distribution and reference interval establishment of neutral‐to‐lymphocyte ratio (NLR), lymphocyte‐to‐monocyte ratio (LMR), and platelet‐to‐lymphocyte ratio (PLR) in Chinese healthy adults. J Clin Lab Analysis. 2021;35(9):e23935. doi:10.1002/jcla.23935
  • Fest J, Ruiter R, Ikram MA, Voortman T, van Eijck CH, Stricker BH. Reference values for white blood-cell-based inflammatory markers in the Rotterdam Study: a population-based prospective cohort study. Sci Rep. 2018;8(1):10566. doi:10.1038/s41598-018-28646-w
  • Takami A, Watanabe S, Yamamoto Y, et al. Reference intervals of white blood cell parameters for healthy adults in Japan. Internat J Lab Hematol. 2021;43(5):948–958. doi:10.1111/ijlh.13486
  • Luo H, He L, Zhang G, et al. Normal reference intervals of neutrophil-to-lymphocyte ratio, platelet-to-lymphocyte ratio, lymphocyte-to-monocyte ratio, and systemic immune inflammation index in healthy adults: a large multi-center study from Western China. Clin Lab. 2019;2019:65.
  • Moosmann J, Krusemark A, Dittrich S, et al. Age‐and sex‐specific pediatric reference intervals for neutrophil‐to‐lymphocyte ratio, lymphocyte‐to‐monocyte ratio, and platelet‐to‐lymphocyte ratio. Internat J Lab Hematol. 2022;44(2):296–301. doi:10.1111/ijlh.13768
  • Goto W, Kashiwagi S, Asano Y, et al. Predictive value of lymphocyte-to-monocyte ratio in the preoperative setting for progression of patients with breast cancer. BMC Cancer. 2018;18(1):1–9. doi:10.1186/s12885-018-5051-9
  • Gong J, Jiang H, Shu C, et al. Prognostic value of lymphocyte-to-monocyte ratio in ovarian cancer: a meta-analysis. J Ovarian Res. 2019;12(1):51. doi:10.1186/s13048-019-0527-z
  • Hu RJ, Ma JY, Hu G. Lymphocyte-to-monocyte ratio in pancreatic cancer: prognostic significance and meta-analysis. Clin Chim Acta. 2018;481:142–146. doi:10.1016/j.cca.2018.03.008
  • Liu CC, Ko HJ, Liu WS, et al. Neutrophil-to-lymphocyte ratio as a predictive marker of metabolic syndrome. Medicine. 2019;98(43):1.
  • Piccirillo F, Miano N, Goffredo C, et al. Impact of Mediterranean diet on metabolic and inflammatory status of patients with polyvascular atherosclerotic disease. Nutr Metab Cardiovasc Dis. 2022;32(1):117–124. doi:10.1016/j.numecd.2021.09.032
  • Szymanska P, Rozalski M, Wilczynski M, Golanski J. Systemic immune-inflammation index (SII) and neutrophil to lymphocyte ratio (NLR) are useful markers for assessing effects of anti-inflammatory diet in patients before coronary artery bypass grafting. Roczniki Panstwowego Zakladu Higieny. 2021;72(3):327–335. doi:10.32394/rpzh.2021.0170
  • Ruiz-Núñez B, Pruimboom L, Dijck-Brouwer DJ, Muskiet FA. Lifestyle and nutritional imbalances associated with Western diseases: causes and consequences of chronic systemic low-grade inflammation in an evolutionary context. J Nutr Biochem. 2013;24(7):1183–1201. doi:10.1016/j.jnutbio.2013.02.009
  • Itsiopoulos C, Mayr HL, Thomas CJ. The anti-inflammatory effects of a Mediterranean diet: a review. Curr Opin Clin Nutr Metab Care. 2022;25(6):415–422. doi:10.1097/MCO.0000000000000872
  • Hart MJ, Torres SJ, McNaughton SA, Milte CM. Dietary patterns and associations with biomarkers of inflammation in adults: a systematic review of observational studies. Nutr J. 2021;20(1):1–14. doi:10.1186/s12937-021-00674-9
  • Sut A, Pytel M, Zadrozny M, Golanski J, Rozalski M. Polyphenol-rich diet is associated with decreased level of inflammatory biomarkers in breast cancer patients. Roczniki Panstwowego Zakladu Higieny. 2019;70(2):177–184. doi:10.32394/rpzh.2019.0068
  • Qi X, Li Y, Fang C, et al. The associations between dietary fibers intake and systemic immune and inflammatory biomarkers, a multi-cycle study of NHANES 2015–2020. Frontiers in Nutrition. 2023;10:1242115. doi:10.3389/fnut.2023.1242115
  • Longhi R, ASeAdC S, López-Yerena A, Rodrigues APS, Oliveira C, Silveira EA. The effectiveness of extra virgin olive oil and the traditional Brazilian diet in reducing the inflammatory profile of individuals with severe obesity: a randomized clinical trial. Nutrients. 2021;13(11):4139. doi:10.3390/nu13114139
  • Syauqy A, Hsu C-Y, Rau -H-H, Chao -JC-J. Association of dietary patterns, anthropometric measurements, and metabolic parameters with C-reactive protein and neutrophil-to-lymphocyte ratio in middle-aged and older adults with metabolic syndrome in Taiwan: a cross-sectional study. Nutr J. 2018;17(1):1–12. doi:10.1186/s12937-018-0417-z
  • Millar SR, Navarro P, Harrington JM, et al. Dietary score associations with markers of chronic low-grade inflammation: a cross-sectional comparative analysis of a middle-to older-aged population. Eur J Nutr. 2022;61(7):3377–3390. doi:10.1007/s00394-022-02892-1
  • Kharaty S, Harrington JM, Millar SR, Perry IJ, Phillips CM. Plant-based dietary indices and biomarkers of chronic low-grade inflammation: a cross-sectional analysis of adults in Ireland. Eur J Nutr. 2023;2023:1–14.
  • Millar SR, Navarro P, Harrington JM, Perry IJ, Phillips CM. Associations between the nutrient profiling system underlying the nutri-score nutrition label and biomarkers of chronic low-grade inflammation: a cross-sectional analysis of a middle-to older-aged population. Nutrients. 2022;14(15):3122. doi:10.3390/nu14153122
  • Lee H, Lee IS, Choue R. Obesity, inflammation and diet. Pediatr Gastroenterol Hepatol Nutr. 2013;16(3):143–152. doi:10.5223/pghn.2013.16.3.143
  • Elliott P, Vergnaud AC, Singh D, Neasham D, Spear J, Heard A. The airwave health monitoring study of police officers and staff in Great Britain: rationale, design and methods. Environ Res. 2014;134:280–285. doi:10.1016/j.envres.2014.07.025
  • T-HT V, Van Horn L, Daviglus ML, et al. Association between egg intake and blood pressure in the USA: the INTERnational study on MAcro/micronutrients and blood Pressure (INTERMAP). Public Health Nutrition. 2021;24(18):6272–6280. doi:10.1017/S1368980021002949
  • IPAQ scoring protocol; 2005. Available from: http://www.ipaq.ki.se/scoring.htm. Accessed August 20, 2021.
  • Nelson M, Haraldsdóttir J. Food photographs: practical guidelines II. Development and use of photographic atlases for assessing food portion size. Public Health Nutrition. 1998;1(4):231–237. doi:10.1079/PHN19980039
  • Gibson R, Eriksen R, Lamb K, et al. Dietary assessment of British police force employees: a description of diet record coding procedures and cross-sectional evaluation of dietary energy intake reporting (The Airwave Health Monitoring Study). BMJ Open. 2017;7(4):e012927. doi:10.1136/bmjopen-2016-012927
  • McCance and Widdowson. The Composition of Foods’ Published by the UK Food Standards Agency. McCance and Widdowson; 2008.
  • Drewnowski A. Defining nutrient density: development and validation of the nutrient rich foods index. J Am Coll Nutr. 2009;28(4):421S–426S. doi:10.1080/07315724.2009.10718106
  • Fulgoni VL 3rd, Keast DR, Drewnowski A. Development and validation of the nutrient-rich foods index: a tool to measure nutritional quality of foods. J Nutr. 2009;139(8):1549–1554. doi:10.3945/jn.108.101360
  • Jones NR, McCormack T, Constanti M, McManus RJ. Diagnosis and management of hypertension in adults: NICE guideline update 2019. Br J Gen Pract. 2020;70(691):90–91. doi:10.3399/bjgp20X708053
  • Schützenmeister A, Jensen U, Piepho HP. Checking normality and homoscedasticity in the general linear model using diagnostic plots. Communicat Stat. 2012;41(2):141–154. doi:10.1080/03610918.2011.582560
  • SAS Institute. Base SAS 9.4 Procedures Guide: Statistical Procedures. Cary (NC): SAS Institute; 2013.
  • Rodríguez-Rodríguez E, López-Sobaler AM, Ortega RM, Delgado-Losada ML, López-Parra AM, Aparicio A. Association between neutrophil-to-lymphocyte ratio with abdominal obesity and healthy eating index in a representative older Spanish population. Nutrients. 2020;12(3):855. doi:10.3390/nu12030855
  • Schwingshackl L, Hoffmann G. Mediterranean dietary pattern, inflammation and endothelial function: a systematic review and meta-analysis of intervention trials. Nutr Metab Cardiovasc Dis. 2014;24(9):929–939. doi:10.1016/j.numecd.2014.03.003
  • Bonaccio M, Di Castelnuovo A, De Curtis A, et al. Adherence to the Mediterranean diet is associated with lower platelet and leukocyte counts: results from the Moli-sani study. Blood J Am Soc Hematol. 2014;123(19):3037–3044.
  • Millar SR, Navarro P, Harrington JM, Perry IJ, Phillips CM. Dietary quality determined by the healthy eating index-2015 and biomarkers of chronic low-grade inflammation: a cross-sectional analysis in middle-to-older aged adults. Nutrients. 2021;13(1):222. doi:10.3390/nu13010222
  • Ryder E, Diez-Ewald M, Mosquera J, et al. Association of obesity with leukocyte count in obese individuals without metabolic syndrome. Diabetes Metab Syndr. 2014;8(4):197–204. doi:10.1016/j.dsx.2014.09.002
  • Lin BD, Hottenga -J-J, Abdellaoui A, et al. Causes of variation in the neutrophil–lymphocyte and platelet–lymphocyte ratios: a twin-family study. Biomarkers Med. 2016;10(10):1061–1072. doi:10.2217/bmm-2016-0147
  • Furuncuoǧlu Y, Tulgar S, Dogan A, Cakar S, Tulgar Y, Cakiroglu B. How obesity affects the neutrophil/lymphocyte and platelet/lymphocyte ratio, systemic immune-inflammatory index and platelet indices: a retrospective study. Eur Rev Med Pharmacol Sci. 2016;20(7):1.
  • Straub RH. The complex role of estrogens in inflammation. Endocr Rev. 2007;28(5):521–574. doi:10.1210/er.2007-0001
  • Trabace L, Roviezzo F, Rossi A. Editorial: sex differences in inflammatory diseases. Front Pharmacol. 2022;13:962869. doi:10.3389/fphar.2022.962869
  • Thorand B, Baumert J, Döring A, et al. Sex differences in the relation of body composition to markers of inflammation. Atherosclerosis. 2006;184(1):216–224. doi:10.1016/j.atherosclerosis.2005.04.011
  • Festa A, D’Agostino R, Williams K, et al. The relation of body fat mass and distribution to markers of chronic inflammation. Int J Obes Relat Metab Disord. 2001;25(10):1407–1415. doi:10.1038/sj.ijo.0801792
  • Patrick DM, Van Beusecum JP, Kirabo A. The role of inflammation in hypertension: novel concepts. Curr Opin Physiol. 2021;19:92–98. doi:10.1016/j.cophys.2020.09.016
  • Jhuang Y-H, Kao T-W, Peng T-C, et al. Neutrophil to lymphocyte ratio as predictor for incident hypertension: a 9-year cohort study in Taiwan. Hypertens Res. 2019;42(8):1209–1214. doi:10.1038/s41440-019-0245-3
  • Huang H, Liu Q, Zhu L, et al. Prognostic value of preoperative systemic immune-inflammation index in patients with cervical cancer. Sci Rep. 2019;9(1):3284. doi:10.1038/s41598-019-39150-0
  • Gibson R, Eriksen R, Singh D, et al. A cross-sectional investigation into the occupational and socio-demographic characteristics of British police force employees reporting a dietary pattern associated with cardiometabolic risk: findings from the Airwave Health Monitoring Study. Eur J Nutr. 2018;57(8):2913–2926. doi:10.1007/s00394-017-1562-4
  • Eriksen R, Gibson R, Lamb K, et al. Nutrient profiling and adherence to components of the UK national dietary guidelines association with metabolic risk factors for CVD and diabetes: airwave health monitoring study. Br J Nutr. 2018;119(6):695–705. doi:10.1017/S0007114518000016
  • Hunt LC, Dashti HS, Chan Q, Gibson R, Vetter C. Quantifying diet intake and its association with cardiometabolic risk in the UK airwave health monitoring study: a data-driven approach. Nutrients. 2020;12(4):1170. doi:10.3390/nu12041170
  • Aljuraiban GS, Gibson R, Chan DS, Elliott P, Chan Q, Griep LMO. Lifestyle score and risk of hypertension in the airwave health monitoring study of British police force employees. Int J Environ Res Public Health. 2023;20(5):4029. doi:10.3390/ijerph20054029
  • Eriksen R, Gibson R, Aresu M, et al. Gene‐diet quality interactions on haemoglobin A1c and type 2 diabetes risk: the Airwave Health Monitoring Study. Endocrinol Diabetes Metabol. 2019;2(4):e00074. doi:10.1002/edm2.74
  • Gao H, Aresu M, Vergnaud A-C, et al. Personal radio use and cancer risks among 48,518 British police officers and staff from the airwave health monitoring study. Br. J. Cancer. 2019;120(3):375–378. doi:10.1038/s41416-018-0365-6
  • Han S, Zhang F, Yu H, et al. Systemic inflammation accelerates the adverse effects of air pollution on metabolic syndrome: findings from the China health and retirement longitudinal study (CHARLS). Environ Res. 2022;215(Pt 1):114340. doi:10.1016/j.envres.2022.114340
  • Wirth MD, Andrew ME, Burchfiel CM, et al. Association of shiftwork and immune cells among police officers from the buffalo cardio-metabolic occupational police stress study. Chronobiol Int. 2017;34(6):721–731. doi:10.1080/07420528.2017.1316732
  • Bjorvatn B, Axelsson J, Pallesen S, et al. The association between shift work and immunological biomarkers in nurses. Front Public Health. 2020;8:415. doi:10.3389/fpubh.2020.00415