Abstract
Background/objectives
Certain lifestyle behaviours may have a protective effect against low-grade systemic inflammation, which is linked to chronic disease. Our objective was to examine associations between a five-component protective lifestyle behaviour (PLB) score and a range of pro-inflammatory cytokines, adipocytokines, acute-phase response proteins, coagulation factors and white blood cells.
Subjects/methods
This was a cross-sectional study of 2045 middle-to-older aged men and women. Low-risk behaviours included never smoking, moderate alcohol intake, moderate-to-vigorous physical activity, a high-quality diet (upper 40% Dietary Approaches to Stop Hypertension score) and a normal body mass index (BMI) (18.5–24.9 kg/m2). Linear and logistic regression analyses tested individual protective behaviour and PLB score associations with biomarkers.
Results
Analysis of individual low-risk behaviours revealed varied associations depending on the biomarker, with normal BMI showing the most consistent associations. Examination of the PLB score showed that compared to subjects with 4–5 protective behaviours, those with 0–1 protective behaviours had 1.4–3.8 increased odds of having a less favourable inflammatory profile. Following adjustment for BMI, significant trend relationships were observed between the number of protective behaviours and complement component 3 (P < 0.001), c-reactive protein (P < 0.001), interleukin 6 (P < 0.001), tumour necrosis factor alpha (P < 0.001) and white blood cell count (P < 0.001) concentrations.
Conclusions
These results suggest a cumulative protective effect of healthy lifestyle behaviours against systemic inflammation in middle-to-older aged adults which is independent of having a healthy body weight.
This is a preview of subscription content, access via your institution
Access options
Subscribe to this journal
Receive 12 print issues and online access
$259.00 per year
only $21.58 per issue
Buy this article
- Purchase on SpringerLink
- Instant access to full article PDF
Prices may be subject to local taxes which are calculated during checkout
Similar content being viewed by others
References
World Health Organization. Preventing chronic diseases: a vital investment. Geneva: World Health Organization; 2005.
Villegas R, Kearney PM, Perry IJ. The cumulative effect of core lifestyle behaviours on the prevalence of hypertension and dyslipidemia. BMC Public Health. 2008;8:210.
O’Doherty MG, Cairns K, O’Neill V, Lamrock F, Jørgensen T, Brenner H, et al. Effect of major lifestyle risk factors, independent and jointly, on life expectancy with and without cardiovascular disease: results from the Consortium on Health and Ageing Network of Cohorts in Europe and the United States (CHANCES). Eur J Epidemiol. 2016;31:455–68.
Yusuf S, Hawken S, Ôunpuu S, Dans T, Avezum A, Lanas F, et al. Effect of potentially modifiable risk factors associated with myocardial infarction in 52 countries (the INTERHEART study): case-control study. Lancet. 2004;364:937–52.
Loef M, Walach H. The combined effects of healthy lifestyle behaviors on all cause mortality: a systematic review and meta-analysis. Prev Med. 2012;55:163–70.
Plassman BL, Williams JW, Burke JR, Holsinger T, Benjamin S. Systematic review: factors associated with risk for and possible prevention of cognitive decline in later life. Ann Intern Med. 2010;153:182–93.
Deary IJ, Corley J, Gow AJ, Harris SE, Houlihan LM, Marioni RE, et al. Age-associated cognitive decline. Br Med Bull. 2009;92:135–52.
Beaglehole R, Yach D. Globalisation and the prevention and control of non-communicable disease: the neglected chronic diseases of adults. Lancet. 2003;362:903–8.
Warburton DE, Nicol CW, Bredin SS. Health benefits of physical activity: the evidence. Canadian Med Assoc J. 2006;174:801–9.
Harrington JM, Fitzgerald AP, Kearney PM, McCarthy VJ, Madden J, Browne G, et al. DASH diet score and distribution of blood pressure in middle-aged men and women. Am J Hypertens. 2013;26:1311–20.
Artinian NT, Fletcher GF, Mozaffarian D, Kris-Etherton P, Van Horn L, Lichtenstein AH, et al. Interventions to promote physical activity and dietary lifestyle changes for cardiovascular risk factor reduction in adults: a scientific statement from the American Heart Association. Circulation. 2010;122:406–41.
Lee WJ, Liang CK, Peng LN, Chiou ST, Chen LK. Protective factors against cognitive decline among community‐dwelling middle‐aged and older people in Taiwan: A 6‐year national population‐based study. Geriatr Gerontol Int. 2017;17:20–27.
Li Y, Pan A, Wang DD, Liu X, Dhana K, Franco OH, et al. Impact of healthy lifestyle factors on life expectancies in the US population. Circulation. 2018;117:032047
Phillips CM, Perry IJ. Does Inflammation Determine Metabolic Health Status in Obese and Nonobese Adults? J Clin Endocrinol Metab. 2013;98:E1610–E1619.
Millar SR, Perry IJ, Phillips CM. HbA1c alone is a poor indicator of cardiometabolic risk in middle-aged subjects with pre-diabetes but is suitable for type 2 diabetes diagnosis: a cross-sectional study. PloS One. 2015;10:e0134154.
Phillips CM, Shivappa N, Hébert JR, Perry IJ. Dietary inflammatory index and mental health: a cross-sectional analysis of the relationship with depressive symptoms, anxiety and well-being in adults. Clin Nutr. 2018;37:1485–91.
Phillips C, Shivappa N, Hébert J, Perry I. Dietary inflammatory index and biomarkers of lipoprotein metabolism, inflammation and glucose homeostasis in adults. Nutrients. 2018;10:1033.
Howcroft TK, Campisi J, Louis GB, Smith MT, Wise B, Wyss-Coray T, et al. The role of inflammation in age-related disease. Aging. 2013;5:84.
Hansson GK, Hermansson A. The immune system in atherosclerosis. Nat Immunol. 2011;12:204.
Donath MY, Shoelson SE. Type 2 diabetes as an inflammatory disease. Nat Rev Immunol. 2011;11:98.
Calder PC, Bosco N, Bourdet-Sicard R, Capuron L, Delzenne N, Doré J, et al. Health relevance of the modification of low grade inflammation in ageing (inflammageing) and the role of nutrition. Ageing Res Rev. 2017;40:95–119.
Casas R, Sacanella E, Estruch R. The immune protective effect of the Mediterranean diet against chronic low-grade inflammatory diseases. Endocr Metab Immune Disorders Drug Targ. 2014;14:245–54.
Phillips CM, Harrington JM, Perry IJ. Relationship between dietary quality, determined by DASH score, and cardiometabolic health biomarkers: A cross-sectional analysis in adults. Clin Nutr. 2018;38:1620–8.
Jarvandi S, Davidson NO, Jeffe DB, Schootman M. Influence of lifestyle factors on inflammation in men and women with type 2 diabetes: results from the National Health and Nutrition Examination Survey, 1999–2004. Ann Behav Med. 2012;44:399–407.
Nivukoski U, Niemel M, Bloigu A, Bloigu R, Aalto M, Laatikainen T, et al. Impacts of unfavourable lifestyle factors on biomarkers of liver function, inflammation and lipid status. PloS one. 2019;14(6):e0218463.
Sotos-Prieto M, Bhupathiraju S, Falcon L, Gao X, Tucker K, Mattei J. Association between a healthy lifestyle score and inflammatory markers among Puerto Rican adults. Nutr Metab Cardiovasc Dis. 2016;26:178–84.
Kearney PM, Harrington JM, Mc Carthy VJ, Fitzgerald AP, Perry IJ. Cohort Profile: The Cork and Kerry Diabetes and Heart Disease Study. Int J Epidemiol. 2013;42:1253–62.
Craig CL, Marshall AL, Sjöström M, Bauman AE, Booth ML, Ainsworth BE, et al. International physical activity questionnaire: 12-country reliability and validity. Med Sci Sports Exerc. 2003;35:1381–95.
Riboli E, Elmståhl S, Saracci R, Gullberg B, Lindgärde F. The Malmö Food Study: validity of two dietary assessment methods for measuring nutrient intake. Int J Epidemiol. 1997;26:S161.
Bingham SA, Gill C, Welch A, Cassidy A, Runswick SA, Oakes S, et al. Validation of dietary assessment methods in the UK arm of EPIC using weighed records, and 24-hour urinary nitrogen and potassium and serum vitamin C and carotenoids as biomarkers. Int J Epidemiol. 1997;26:S137. suppl_1
Harrington J. Validation of a food frequency questionnaire as a tool for assessing nutrient intake. Galway: NUI; 1997.
Friel S, Nic Gabhainn S, Kelleher C. The national health and lifestyle surveys: Survey of Lifestyle, Attitude and Nutrition, (SLAN) & the Irish Health Behaviour in School-aged Children survey (HBSC). Dublin: Health Promotion Unit, Department of Health and Children; 1999.
Kelleher C, Nic Gabhainn S, Friel S, Corrigan H, Nolan G, Sixsmith J, et al. The National Health and Lifestyle Surveys (II) Survey of Lifestyle, Attitudes and Nutrition (SLÁN) and the Irish Health Behaviour in School-Aged children survey (HBSC). Dublin: Department of Health and Children; 2003.
Morgan K, McGee H, Watson D, Perry I, Barry MM, Shelley E, et al. SLÁN 2007: Survey of Lifestyle, Attitudes and Nutrition in Ireland. Main Report. Dublin: Department of Health and Children; 2008.
Murrin C. Maternal factors during pregnancy contributing to early life risk of childhood obesity [PhD Thesis]. University College Dublin, 2010.
Fung TT, Chiuve SE, McCullough ML, Rexrode KM, Logroscino G, Hu FB. Adherence to a DASH-style diet and risk of coronary heart disease and stroke in women. Arch Int Med. 2008;168:713–20.
Maher GM, Perry CP, Perry IJ, Harrington JM. Protective lifestyle behaviours and depression in middle-aged Irish men and women: a secondary analysis. Public Health Nutr. 2016;19:2999–3006.
Harrington J, Perry I, Lutomski J, Morgan K, McGee H, Shelley E, et al. SLÁN 2007: Survey of Lifestyle, Attitudes and Nutrition in Ireland. Dietary Habits of the Irish Population. Dublin: Department of Health and Children; 2008.
Khaw K-T, Wareham N, Bingham S, Welch A, Luben R, Day N. Combined impact of health behaviours and mortality in men and women: the EPIC-Norfolk prospective population study. PLoS Med. 2008;5:e12.
American Diabetes Association. Diagnosis and classification of diabetes mellitus. Diabetes Care. 2013;36:S67–S74.
Clarke D, Romano JP, Wolf M. The Romano-Wolf Multiple Hypothesis Correction in Stata. 2019. https://www.iza.org/publications/dp/12845/the-romano-wolf-multiple-hypothesis-correction-in-stata.
Navarro SL, Kantor ED, Song X, Milne GL, Lampe JW, Kratz M, et al. Factors associated with multiple biomarkers of systemic inflammation. Cancer Epidemiol Prev Biomarkers 2016. https://doi.org/10.1158/1055-9965.EPI-15-0956.
Abramson JL, Vaccarino V. Relationship between physical activity and inflammation among apparently healthy middle-aged and older US adults. Arch Int Med. 2002;162:1286–92.
Karch I, Olszowska M, Tomkiewicz L, Drapisz S, Łuszczak J, Podolec P. The effect of physical activity on serum levels of selected biomarkers of atherosclerosis. Kardiologia Polska. 2013;71:55–60.
Phillips CM, Dillon CB, Perry IJ. Does replacing sedentary behaviour with light or moderate to vigorous physical activity modulate inflammatory status in adults? Int J Behav Nutr Phys Activity. 2017;14:138.
Peterson R. Mild cognitive impairment as a diagnostic entity. J Intern Med. 2004;256:183–94.
Galland L. Diet and inflammation. Nutr Clin Pract. 2010;25:634–40.
Millar SR, Harrington JM, Perry IJ, Phillips CM. Protective lifestyle behaviours and lipoprotein particle subclass profiles in a middle-to older-aged population. Atherosclerosis. 2020;314:18–26.
Shivappa N, Steck SE, Hurley TG, Hussey JR, Hébert JR. Designing and developing a literature-derived, population-based dietary inflammatory index. Public Health Nutr. 2014;17:1689–96.
Poulsen MM, Fjeldborg K, Ornstrup MJ, Kjær TN, Nøhr MK, Pedersen SB. Resveratrol and inflammation: challenges in translating pre-clinical findings to improved patient outcomes. Biochim et Biophys Acta. 2015;1852:1124–36.
Van Cleemput M, Heyerick A, Libert C, Swerts K, Philippé J, De Keukeleire D, et al. Hop bitter acids efficiently block inflammation independent of GRα, PPARα, or PPARγ. Mol Nutr Food Res. 2009;53:1143–55.
Yadav VR, Prasad S, Sung B, Aggarwal BB. The role of chalcones in suppression of NF-κB-mediated inflammation and cancer. Int Immunopharmacol. 2011;11:295–309.
Lau ES, Paniagua SM, Guseh JS, Bhambhani V, Zanni MV, Courchesne P, et al. Sex differences in circulating biomarkers of cardiovascular disease. J Am College Cardiol. 2019;74:1543–53.
World Health Organization. Global health and aging. Geneva: World Health Organization; 2011.
Hinchion R, Sheehan J, Perry I. Primary care research: patient registration. Ir Med J. 2002;95:249–249.
Acknowledgements
This work was supported by a research grant from the Irish Health Research Board (reference: HRC/2007/13) and Breakthrough Cancer Research (reference: BCR-2018-07 PH-UCC). The funders had no role in the study design, data collection and analysis, decision to publish or preparation of the manuscript.
Author information
Authors and Affiliations
Contributions
SRM, IJP, and CMP were responsible for conceptualisation; SRM conducted the statistical analysis and wrote the manuscript; CMP, JMH, and IJP were responsible for project administration and funding acquisition; SRM and JMH contributed to the methodology, including data collection and data management. All authors contributed to the critical review and editing of the manuscript for important intellectual content and approved the final manuscript.
Corresponding author
Ethics declarations
Competing interests
The authors declare no competing interests.
Additional information
Publisher’s note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Supplementary information
Rights and permissions
About this article
Cite this article
Millar, S.R., Harrington, J.M., Perry, I.J. et al. Associations between a protective lifestyle behaviour score and biomarkers of chronic low-grade inflammation: a cross-sectional analysis in middle-to-older aged adults. Int J Obes 46, 476–485 (2022). https://doi.org/10.1038/s41366-021-01012-z
Received:
Revised:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1038/s41366-021-01012-z
This article is cited by
-
Lifestyle deterioration linked to elevated inflammatory cytokines over a two-month follow-up
Scientific Reports (2024)
-
Associations of lifestyle characteristics with circulating immune markers in the general population based on NHANES 1999 to 2014
Scientific Reports (2024)
-
Dietary score associations with markers of chronic low-grade inflammation: a cross-sectional comparative analysis of a middle- to older-aged population
European Journal of Nutrition (2022)