Body Mass Index Has Significant Moderate Positive Correlation with High Sensitivity C-Reactive Protein in Overweight and Obese Thai Adults

Authors

  • Suchanart Tangchitnob Department of Anti-Aging and Regenerative Medicine, School of Anti-Aging and Regenerative Medicine, Mae Fah Luang University, Bangkok 10110, Thailand
  • Vitoon Jularattanaporn Department of Anti-Aging and Regenerative Medicine, School of Anti-Aging and Regenerative Medicine, Mae Fah Luang University, Bangkok 10110, Thailand
  • Phakkharawat Sittiprapaporn Department of Anti-Aging and Regenerative Medicine, School of Anti-Aging and Regenerative Medicine, Mae Fah Luang University, Bangkok, Thailand 10110; MAS Neuroscience Center, School of Anti-Aging and Regenerative Medicine, Mae Fah Luang University, Bangkok, Thailand 10110

Keywords:

Hs-CRP, Physical Activity, Overweight, Obesity

Abstract

Background: Thailand's population is becoming more sedentary, while obesity, another major health issue, is rising worldwide. This trend increases non-communicable disease risk, especially cardiovascular disease. Chronic low-grade systemic inflammation caused by adipose tissue inflammation can be recognized by a rise in hs-CRP, a biomarker of cardiovascular disease risk. According to earlier studies, hs-CRP is significantly greater in obese people and related to lesser physical activity, but obesity may influence the results.

Objectives: This study aimed to study the association between total physical activity, screen time, and hs-CRP in overweight and obese adults. This study also examines screen time, a sedentary behavior indicator.

Materials and Method: This study was a cross-sectional study conducted in 21 healthy, normal-weight, overweight, and obese Thai adults aged between 20 and 40 years old. Subjects’ body weight and height were measured, and they were interviewed to answer the GPAQ questionnaire and screen time questionnaire.

Results: Using the Pearson correlation coefficient, total physical activity and screen time had no significant correlation with hs-CRP (p > 0.05), while there was a significant, moderate positive correlation between BMI and hs-CRP (r = 0.462, p = 0.035).

Conclusion: Total physical activity and screen time had no significant correlation with hs-CRP in overweight and obese adults. However, BMI had a significant moderate positive correlation with hs-CRP.

References

Liangruenrom N, Dumuid D, Pedisic Z. Physical activity, sedentary behaviour, and sleep in the Thai population: A compositional data analysis including 135,824 participants from two national time-use surveys. PLoS One. 2023; 18 (1): e0280957. https://doi.org/10.1371/journal.pone.0280957.

Park JH, Moon JH, Kim HJ, Kong MH, Oh YH. Sedentary Lifestyle: Overview of Updated Evidence of Potential Health Risks. Korean J Fam Med. 2020; 41 (6):365-73. https://doi.org/10.4082/kjfm.20.0165.

Nagata JM, Smith N, Alsamman S, Lee CM, Dooley EE, Kiss O, Ganson KT, Wing D, Baker FC, Gabriel KP. Association of Physical Activity and Screen Time with Body Mass Index Among US Adolescents. JAMA Netw Open. 2023; 6 (2): e2255466. https://doi.org/10.1001/jamanetworkopen.2022.55466.

World Health Organization (WHO). (2021). Obesity and overweight. World Health Organization. https://www. who.int/news-room/fact-sheets/detail/ obesity-and-overweight 5. Jitnarin N, Kosulwat V, Rojroongwasinkul N, Boonpraderm A, Haddock CK, Poston WS. Prevalence of overweight and obesity in Thai population: results of the National Thai Food Consumption Survey. Eat Weight Disord. 2011; 16 (4): e242-9. https://doi.org/10.1007/BF03327467.

National Health Security Office (NHSO). Guidelines for the prevention and treatment of obesity. NHSO, Bangkok, 2010. http://www.imrta.dms.moph.go.th/imrta/images/pdf_cpg/2553/53-4.pdf

Centers for Disease Control and Prevention (CDC). (2022). Consequences of obesity. Centers for Disease Control and Prevention. https://www.cdc.gov/obesity/basics/consequences.html#:~:text=Obesity%20in%20children%20and%20adults,for%20the%20following%20health%20conditions.&text=High%20blood%20pressure%20and%20high,as%20asthma%20and%20sleep%20apnea

Sakboonyarat B, Pornpongsawad C, Sangkool T, Phanmanas C, Kesonphaet N, Tangthongtawi N, Limsakul A, Assavapisitkul R, Thangthai T, Janenopparkarnjana P, Varodomvitaya P, Dachoviboon W, Laohasara J, Kruthakool N, Limprasert S, Mungthin M, Hatthachote P, Rangsin R. Trends, prevalence and associated factors of obesity among adults in a rural community in Thailand: serial crosssectional surveys, 2012 and 2018. BMC Public Health. 2020; 20 (1): 850. https://doi.org/10.1186/s12889-020-09004-w.

Kunz HE, Hart CR, Gries KJ, Parvizi M, Laurenti M, Dalla Man C, Moore N, Zhang X, Ryan Z, Polley EC, Jensen MD, Vella A, Lanza IR. Adipose tissue macrophage populations and inflammation are associated with systemic inflammation and insulin resistance in obesity. Am J Physiol Endocrinol Metab. 2021; 321 (1): E105- E121. https://doi.org/10.1152/ajpendo.00070.2021.

Polyakova EA, Mikhaylov EN. The prognostic role of high-sensitivity C-reactive protein in patients with acute myocardial infarction. J Geriatr Cardiol. 2020; 17 (7): 379-83. https://doi.org/10.11909/j.issn.1671-5411.2020.07.007.

Kamath DY, Xavier D, Sigamani A, Pais P. High sensitivity C-reactive protein (hsCRP) & cardiovascular disease: An Indian perspective. Indian J Med Res. 2015; 142 (3): 261-8. https://doi.org/10.4103/0971-5916.166582.

Dayal D, Jain H, Attri SV, Bharti B, Bhalla AK. Relationship of High Sensitivity C-Reactive Protein Levels to Anthropometric and other Metabolic Parameters in Indian Children with Simple Overweight and Obesity. J Clin Diagn Res. 2014; 8 (8): PC05-8. https://doi.org/10.7860/JCDR/2014/8191.4685.

Haapala EA, Väistö J, Ihalainen JK, González CT, Leppänen MH, Veijalainen A, Sallinen T, Eloranta AM, Ekelund U, Schwab U, Brage S, Atalay M, Lakka TA. Associations of physical activity, sedentary time, and diet quality with biomarkers of inflammation in children. Eur J Sport Sci. 2022; 22 (6): 906-15. https://doi.org/10.1080/17461391.2021.1892830.

Aljaloud KS, Hughes AR, Galloway SDR. Impact of Physical Activity on Adiposity and Risk Markers for Cardiovascular and Metabolic Disease. Am J Mens Health. 2022; 16 (2):15579 883221092289. https://doi.org/10.1177/15579883221092289.

Nang EE, Salim A, Wu Y, Tai ES, Lee J, Van Dam RM. Television screen time, but not computer use and reading time, is associated with cardio-metabolic biomarkers in a multiethnic Asian population: a cross-sectional study. Int J Behav Nutr Phys Act. 2013; 10:70. https://doi.org/10.1186/1479-5868-10-70.

Draganidis D, Jamurtas AZ, Stampoulis T, Laschou VC, Deli CK, Georgakouli K, Papanikolaou K, Chatzinikolaou A, Michalopoulou M, Papadopoulos C, Tsimeas P, Chondrogianni N, Koutedakis Y, Karagounis LG, Fatouros IG. Disparate Habitual Physical Activity and Dietary Intake Profiles of Elderly Men with Low and Elevated Systemic Inflammation. Nutrients. 2018; 10 (5): 566. https://doi.org/10.3390/nu10050566.

Blaha MJ, Rivera JJ, Budoff MJ, Blankstein R, Agatston A, O’Leary DH, Cushman M, Lakoski S, Criqui MH, Szklo M, Blumenthal RS, Nasir K. Association between obesity, highsensitivity C-reactive protein ≥2 mg/L, and subclinical atherosclerosis: implications of JUPITER from the Multi-Ethnic Study of Atherosclerosis. Arterioscler Thromb Vasc Biol. 2011; 31(6):1430-8. https://doi.org/10.1161/ATVBAHA.111.223768.

Djalalinia S, Qorbani M, Peykari N, Kelishadi R. Health impacts of Obesity. Pak J Med Sci. 2015; 31 (1): 239-42. https://doi.org/10.12669/pjms.311.7033.

Kitsios K, Papadopoulou M, Kosta K, Kadoglou N, Papagianni M, Tsiroukidou K. High-sensitivity C-reactive protein levels and metabolic disorders in obese and overweight children and adolescents. J Clin Res Pediatr Endocrinol. 2013; 5 (1): 44-9. https://doi.org/10.4274/Jcrpe.789.

Omer T. The causes of obesity: an in-depth review. Adv Obes Weight Manag Control. 2020; 10 (3): 90-4. https://doi.org/10.15406/aowmc.2020.10.00312

Akpa OM, Okekunle AP, Sarfo FS, Akinyemi RO, Akpalu A, Wahab KW, Komolafe M, Obiako R, Owolabi L, Jenkins C, Abiodun A, Ogbole G, Fawale B, Akinyemi J, Agunloye A, Uvere EO, Fakunle A, Ovbiagele B, Owolabi MO; SIREN study as part of the H3Africa consortium. Sociodemographic and behavioural risk factors for obesity among community-dwelling older adults in Ghana and Nigeria: A secondary analysis of data from the SIREN study. Chronic Illn. 2023; 19 (1): 40-55. https://doi.org/10.1177/17423953211054023.

Loos RJF, Yeo GSH. The genetics of obesity: from discovery to biology. Nat Rev Genet. 2022; 23 (2):120-33. https://doi.org/10.1038/s41576-021-00414-z.

Goodarzi MO. Genetics of obesity: what genetic association studies have taught us about the biology of obesity and its complications. The lancet. Diabetes & Endocrinology. 2018; 6 (3): 223-36. https://doi.org/10.1016/s2213-8587(17)30200-0.

Young KL, Graff M, Fernandez- Rhodes L, North KE. Genetics of Obesity in Diverse Populations. Curr Diab Rep. 2018; 18 (12):145. https://doi.org/10.1007/s11892-018-1107-0.

Fawcett KA, Barroso I. The genetics of obesity: FTO leads the way. Trends Genet. 2010; 26 (6): 266-74. https://doi.org/10.1016/j.tig.2010.02.006.

Obesity Medicine Association. (2023). Obesity and genetics: What is the connection? Obesity Medicine Association. https://obesitymedicine.org/blog/obesity-and-genetics/

Hill JO, Wyatt HR, Peters JC. Energy balance and obesity. Circulation. 2012;126 (1):126-32. https://doi.org/10.1161/CIRCULATIONAHA.111.087213.

Lin X, Li H. Obesity: Epidemiology, Pathophysiology, and Therapeutics. Front Endocrinol (Lausanne). 2021; 12: 706978. https://doi.org/10.3389/fendo.2021.706978.

Pour-Abbasi MS, Nikrad N, Farhangi MA, Vahdat S, Jafarzadeh F. Dietary energy density, metabolic parameters, and blood pressure in a sample of adults with obesity. BMC Endocr Disord. 2023; 23 (1): 3. https://doi.org/10.1186/s12902-022-01243-9.

Rouhani MH, Haghighatdoost F, Surkan PJ, Azadbakht L. Associations between dietary energy density and obesity: A systematic review and meta-analysis of observational studies. Nutrition. 2016; 32 (10):1037-47. https://doi.org/10.1016/j.nut.2016.03.017.

Salvestrini V, Sell C, Lorenzini A. Obesity May Accelerate the Aging Process. Front Endocrinol (Lausanne). 2019; 10: 266. https://doi.org/10.3389/fendo.2019.00266.

Wharton S, Raiber L, Serodio KJ, Lee J, Christensen RA. Medications that cause weight gain and alternatives in Canada: a narrative review. Diabetes Metab Syndr Obes. 2018; 11: 427-38. https://doi.org/10.2147/DMSO.S171365.

Sarwer DB, Polonsky HM. The Psychosocial Burden of Obesity. Endocrinol Metab Clin North Am. 2016;45(3):677-88. https:/doi.org/10.1016/j.ecl.2016.04.016.

Lee A, Cardel M, Donahoo WT. Social and Environmental Factors Influencing Obesity. 2019 Oct 12. In: Feingold KR, Anawalt B, Blackman MR, Boyce A, Chrousos G, Corpas E, de Herder WW, Dhatariya K, Dungan K, Hofland J, Kalra S, Kaltsas G, Kapoor N, Koch C, Kopp P, Korbonits M, Kovacs CS,Kuohung W, Laferrère B, Levy M, McGee EA, McLachlan R, New M, Purnell J, Sahay R, Shah AS, Singer F, Sperling MA, Stratakis CA, Trence DL, Wilson DP, editors. Endotext [Internet]. South Dartmouth (MA): MDText.com, Inc.; 2000.

Creatore MI, Glazier RH, Moineddin R, Fazli GS, Johns A, Gozdyra P, Matheson FI, Kaufman-Shriqui V, Rosella LC, Manuel DG, Booth GL. Association of Neighborhood Walkability with Change in Overweight, Obesity, and Diabetes. JAMA. 2016; 315 (20): 2211-20. https://doi.org/10.1001/jama.2016.5898.

Kerkadi A, Sadig AH, Bawadi H, Al Thani AAM, Al Chetachi W, Akram H, Al-Hazzaa HM, Musaiger AO. The Relationship between Lifestyle Factors and Obesity Indices among Adolescents in Qatar. Int J Environ Res Public Health. 2019; 16 (22): 4428. https://doi.org/10.3390/ijerph16224428.

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Published

2026-01-06

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Tangchitnob S, Jularattanaporn V, Sittiprapaporn P. Body Mass Index Has Significant Moderate Positive Correlation with High Sensitivity C-Reactive Protein in Overweight and Obese Thai Adults. GMSMJ [internet]. 2026 Jan. 6 [cited 2026 Feb. 14];6(1):11-22. available from: https://he02.tci-thaijo.org/index.php/gmsmj/article/view/274039

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