Skip to main content

Advertisement

SpringerLink
Log in

Dietary inflammatory index and bone mineral density in Mexican population

  • Original Article
  • Published:
Osteoporosis International Aims and scope Submit manuscript

Abstract 

Summary

Dietary inflammatory index has been associated with bone loss. In this longitudinal study, we reported that changes in dietary inflammatory index were associated with a reduction in bone mineral density of the total hip and femoral neck in males and females ≥ 45 years, but not in individuals < 45 years.

Purpose

Previous studies have suggested that an inflammatory environment can affect bone mineral density (BMD). However, most of the studies have been done in postmenopausal women. Thus, longitudinal studies in different age groups and sex are necessary to evaluate the longitudinal association between dietary inflammatory index (DII) and BMD in Mexican adults.

Methods

A total of 1,486 participants of the Health Workers Cohort Study were included in this study. The DII was estimated with data retrieved through a semi-quantitative food frequency questionnaire. Total hip, femoral neck, and lumbar spine BMD were measured by dual-energy X-ray absorptiometry. Linear regression models for cross-sectional associations and fixed effects linear regression models for longitudinal association were estimated, and both models were stratified by sex and age groups (< 45 and ≥ 45 years).

Results

We did not observe cross-sectional associations between DII and the different BMD sites at baseline. In contrast, women and men ≥ 45 years in the 25th quartile of changes in DII were associated with a gain of 0.067 g/cm2 and 0.062 g/cm2 of total hip BMD, while those in the 75th quartile of DII was associated with a reduction of − 0.108 g/cm2 and − 0.100 g/cm2, respectively. These results were similar for femoral neck BMD in women. In contrast, we did not observe association with femoral neck BMD in men. We did not observe statistically significant changes for lumbar spine BMD.

Conclusion

Our data suggest that changes in the DII score are associated with changes in total hip and femoral neck BMD among Mexican population.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1

Similar content being viewed by others

Data availability

The data that support the findings of this study are available from the corresponding authors BR-P and RV-C and upon reasonable request.

References

  1. Clark P, Tamayo JA, Cisneros F, et al (2013) Epidemiology of osteoporosis in Mexico. Present and future directions. Rev Invest Clin 65(2):183–91

  2. Kanis JA, for Metabolic Bone Diseases WHOC (2008) Assessment of osteoporosis at the primary health care level. www.sheffield.ac.uk/FRAX/pdfs/WHO_Technical_Report.pdf. Accessed 26 June 2021

  3. IMSS (2019) En un año, IMSS otorgó a mujeres más de 100 mil consultas por osteoporosis. http://www.imss.gob.mx/prensa/archivo/201910/441. Accessed 26 July 2021

  4. Ginaldi L, Di Benedetto MC, De Martinis M (2005) Osteoporosis, inflammation and ageing. Immun Ageing 2:14. https://doi.org/10.1186/1742-4933-2-14

    Article  PubMed  PubMed Central  Google Scholar 

  5. Lacativa PGS, de Farias MLF (2010) Osteoporosis and inflammation. Arq Bras Endocrinol Metabol 54:123–132. https://doi.org/10.1590/s0004-27302010000200007

    Article  PubMed  Google Scholar 

  6. Pietschmann P, Mechtcheriakova D, Meshcheryakova A et al (2016) Immunology of osteoporosis: a mini-review. Gerontology 62:128–137. https://doi.org/10.1159/000431091

    Article  CAS  PubMed  Google Scholar 

  7. de Pablo P, Cooper MS, Buckley CD (2012) Association between bone mineral density and C-reactive protein in a large population-based sample. Arthritis Rheum 64:2624–2631. https://doi.org/10.1002/art.34474

    Article  CAS  PubMed  Google Scholar 

  8. Galland L (2010) Diet and inflammation. Nutr Clin Pract 25:634–640. https://doi.org/10.1177/0884533610385703

    Article  PubMed  Google Scholar 

  9. Du H, van der A DL, van Bakel MME, et al (2008) Glycemic index and glycemic load in relation to food and nutrient intake and metabolic risk factors in a Dutch population. Am J Clin Nutr 87:655–661. https://doi.org/10.1093/ajcn/87.3.655

    Article  CAS  PubMed  Google Scholar 

  10. Petersson H, Lind L, Hulthe J et al (2009) Relationships between serum fatty acid composition and multiple markers of inflammation and endothelial function in an elderly population. Atherosclerosis 203:298–303. https://doi.org/10.1016/j.atherosclerosis.2008.06.020

    Article  CAS  PubMed  Google Scholar 

  11. North CJ, Venter CS, Jerling JC (2009) The effects of dietary fibre on C-reactive protein, an inflammation marker predicting cardiovascular disease. Eur J Clin Nutr 63:921–933. https://doi.org/10.1038/ejcn.2009.8

    Article  CAS  PubMed  Google Scholar 

  12. Chun OK, Chung S-J, Claycombe KJ, Song WO (2008) Serum C-reactive protein concentrations are inversely associated with dietary flavonoid intake in U.S. adults. J Nutr 138:753–760. https://doi.org/10.1093/jn/138.4.753

    Article  CAS  PubMed  Google Scholar 

  13. Walston J, Xue Q, Semba RD et al (2006) Serum antioxidants, inflammation, and total mortality in older women. Am J Epidemiol 163:18–26. https://doi.org/10.1093/aje/kwj007

    Article  CAS  PubMed  Google Scholar 

  14. Pérez-Tepayo S, Rodríguez-Ramírez S, Unar-Munguía M, Shamah-Levy T (2020) Trends in the dietary patterns of Mexican adults by sociodemographic characteristics. Nutr J 19:51. https://doi.org/10.1186/s12937-020-00568-2

    Article  PubMed  PubMed Central  Google Scholar 

  15. Shivappa N, Steck SE, Hurley TG et al (2014) Designing and developing a literature-derived, population-based dietary inflammatory index. Public Health Nutr 17:1689–1696. https://doi.org/10.1017/S1368980013002115

    Article  PubMed  Google Scholar 

  16. Phillips CM, Chen L-W, Heude B et al (2019) Dietary inflammatory index and non-communicable disease risk: a narrative review. Nutrients 11:1873. https://doi.org/10.3390/nu11081873

    Article  CAS  PubMed Central  Google Scholar 

  17. Fang Y, Zhu J, Fan J et al (2021) Dietary inflammatory index in relation to bone mineral density, osteoporosis risk and fracture risk: a systematic review and meta-analysis. Osteoporos Int 32:633–643. https://doi.org/10.1007/s00198-020-05578-8

    Article  CAS  PubMed  Google Scholar 

  18. Mazidi M, Shivappa N, Wirth MD et al (2017) The association between dietary inflammatory properties and bone mineral density and risk of fracture in US adults. Eur J Clin Nutr 71:1273–1277. https://doi.org/10.1038/ejcn.2017.133

    Article  CAS  PubMed  Google Scholar 

  19. Orchard T, Yildiz V, Steck SE et al (2017) Dietary inflammatory index, bone mineral density, and risk of fracture in postmenopausal women: results from the women’s health initiative. J bone Miner Res 32:1136–1146. https://doi.org/10.1002/jbmr.3070

    Article  CAS  PubMed  Google Scholar 

  20. Denova-Gutierrez E, Flores YN, Gallegos-Carrillo K, et al (2016) Health workers cohort study: methods and study design. Salud Publica Mex 58:708–716. https://doi.org/10.21149/spm.v58i6.8299

  21. Hernández-Avila M, Romieu I, Parra S et al (1998) Validity and reproducibility of a food frequency questionnaire to assess dietary intake of women living in Mexico City. Salud Publica Mex 40:133–140. https://doi.org/10.1590/S0036-36341998000200005

    Article  PubMed  Google Scholar 

  22. Canto-Osorio F, Denova-Gutierrez E, Sánchez-Romero LM et al (2020) Dietary inflammatory index and metabolic syndrome in Mexican adult population. Am J Clin Nutr 112:373–380. https://doi.org/10.1093/ajcn/nqaa135

    Article  PubMed  Google Scholar 

  23. Davis SR, Lambrinoudaki I, Lumsden M et al (2015) Menopause. Nat Rev Dis Prim 1:15004. https://doi.org/10.1038/nrdp.2015.4

    Article  PubMed  Google Scholar 

  24. Berger C, Langsetmo L, Joseph L et al (2008) Change in bone mineral density as a function of age in women and men and association with the use of antiresorptive agents. CMAJ 178:1660–1668. https://doi.org/10.1503/cmaj.071416

    Article  PubMed  PubMed Central  Google Scholar 

  25. Willett WC, Howe GR, Kushi LH (1997) Adjustment for total energy intake in epidemiologic studies. Am J Clin Nutr 65:1220S-1228S. https://doi.org/10.1093/ajcn/65.4.1220S

    Article  CAS  PubMed  Google Scholar 

  26. Shivappa N, Hébert JR, Karamati M et al (2016) Increased inflammatory potential of diet is associated with bone mineral density among postmenopausal women in Iran. Eur J Nutr 55:561–568. https://doi.org/10.1007/s00394-015-0875-4

    Article  CAS  PubMed  Google Scholar 

  27. Na W, Park S, Shivappa N et al (2019) Association between inflammatory potential of diet and bone-mineral density in Korean postmenopausal women: data from Fourth and Fifth Korea National Health and Nutrition Examination Surveys. Nutrients 11:885. https://doi.org/10.3390/nu11040885

    Article  CAS  PubMed Central  Google Scholar 

  28. Kim HS, Sohn C, Kwon M et al (2018) Positive association between dietary inflammatory index and the risk of osteoporosis: results from the KoGES_Health Examinee (HEXA) cohort study. Nutrients 10:1999. https://doi.org/10.3390/nu10121999

    Article  CAS  PubMed Central  Google Scholar 

  29. Zhang Z-Q, Cao W-T, Shivappa N et al (2017) Association between diet inflammatory index and osteoporotic hip fracture in elderly Chinese population. J Am Med Dir Assoc 18:671–677. https://doi.org/10.1016/j.jamda.2017.02.011

    Article  PubMed  Google Scholar 

  30. Minihane AM, Vinoy S, Russell WR et al (2015) Low-grade inflammation, diet composition and health: current research evidence and its translation. Br J Nutr 114:999–1012. https://doi.org/10.1017/S0007114515002093

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  31. Adamopoulos IE (2018) Inflammation in bone physiology and pathology. Curr Opin Rheumatol 30:59–64. https://doi.org/10.1097/BOR.0000000000000449

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  32. Abu-Amer Y (2013) NF-κB signaling and bone resorption. Osteoporos Int 24:2377–2386. https://doi.org/10.1007/s00198-013-2313-x

    Article  CAS  PubMed  Google Scholar 

  33. Boyce BF, Li P, Yao Z et al (2005) TNF-alpha and pathologic bone resorption. Keio J Med 54:127–131. https://doi.org/10.2302/kjm.54.127

    Article  CAS  PubMed  Google Scholar 

  34. Trevisan C, Alessi A, Girotti G et al (2020) The impact of smoking on bone metabolism, bone mineral density and vertebral fractures in postmenopausal women. J Clin Densitom Off J Int Soc Clin Densitom 23:381–389. https://doi.org/10.1016/j.jocd.2019.07.007

    Article  Google Scholar 

  35. Jutberger H, Lorentzon M, Barrett-Connor E et al (2010) Smoking predicts incident fractures in elderly men: Mr OS Sweden. J Bone Miner Res 25:1010–1016. https://doi.org/10.1359/jbmr.091112

    Article  PubMed  Google Scholar 

  36. Al-Bashaireh AM, Haddad LG, Weaver M et al (2018) The effect of tobacco smoking on bone mass: an overview of pathophysiologic mechanisms. J Osteoporos 2018:1206235. https://doi.org/10.1155/2018/1206235

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  37. Troy KL, Mancuso ME, Butler TA, Johnson JE (2018) Exercise early and often: effects of physical activity and exercise on women’s bone health. Int J Environ Res Public Health 15:878. https://doi.org/10.3390/ijerph15050878

    Article  PubMed Central  Google Scholar 

  38. Marques EA, Mota J, Carvalho J (2012) Exercise effects on bone mineral density in older adults: a meta-analysis of randomized controlled trials. Age (Dordr) 34:1493–1515. https://doi.org/10.1007/s11357-011-9311-8

    Article  Google Scholar 

  39. Bielemann RM, Martinez-Mesa J, Gigante DP (2013) Physical activity during life course and bone mass: a systematic review of methods and findings from cohort studies with young adults. BMC Musculoskelet Disord 14:77. https://doi.org/10.1186/1471-2474-14-77

    Article  PubMed  PubMed Central  Google Scholar 

  40. Denova-Gutiérrez E, Rivera-Paredez B, Velázquez-Cruz R et al (2021) Relationship between physical activity, lean body mass, and bone mass in the Mexican adult population. Arch Osteoporos 16:94. https://doi.org/10.1007/s11657-021-00936-3

    Article  PubMed  Google Scholar 

  41. Faienza MF, Lassandro G, Chiarito M et al (2020) How physical activity across the lifespan can reduce the impact of bone ageing: a literature review. Int J Environ Res Public Health 17:1862. https://doi.org/10.3390/ijerph17061862

    Article  CAS  PubMed Central  Google Scholar 

  42. Cauley JA (2015) Estrogen and bone health in men and women. Steroids 99:11–15. https://doi.org/10.1016/j.steroids.2014.12.010

    Article  CAS  PubMed  Google Scholar 

  43. Khastgir G, Studd JWW, Fox SW et al (2003) A longitudinal study of the effect of subcutaneous estrogen replacement on bone in young women with Turner’s syndrome. J bone Miner Res 18:925–932. https://doi.org/10.1359/jbmr.2003.18.5.925

    Article  CAS  PubMed  Google Scholar 

  44. Wells G, Tugwell P, Shea B et al (2002) Meta-analyses of therapies for postmenopausal osteoporosis. V. Meta-analysis of the efficacy of hormone replacement therapy in treating and preventing osteoporosis in postmenopausal women. Endocr Rev 23:529–539. https://doi.org/10.1210/er.2001-5002

    Article  CAS  PubMed  Google Scholar 

  45. Abdi F, Mobedi H, Bayat F et al (2017) The effects of transdermal estrogen delivery on bone mineral density in postmenopausal women: a meta-analysis. Iran J Pharm Res IJPR 16:380–389

    CAS  PubMed  Google Scholar 

Download references

Acknowledgements

We express our gratitude to the study participants from the Health Workers Cohort Study, without whom the study would not have been possible.

Funding

This research was funded by the Mexican Council of Science and Technology (CONACyT): (Grant numbers: 7876, 87783, 262233, 26267 M, SALUD-2010–01-139796, SALUD-2011–01-161930, and CB-2013–01-221628). YNF was supported by NIH/NCI K07CA197179. RVC was supported by grants from the CONACyT (Grant INFR-2016–01-270405) and partially supported by the Instituto Nacional de Medicina Genómica project 399–07/2019/I.

Author information

Authors and Affiliations

  1. Research Center in Policies, Population and Health, School of Medicine, National Autonomous University of Mexico (UNAM), Mexico City, Mexico

    Berenice Rivera-Paredez, Karina Robles-Rivera & Jorge Salmerón

  2. Center for Evaluation and Surveys Research, National Institute of Public Health (INSP), Cuernavaca, Morelos, Mexico

    Amado D. Quezada-Sánchez

  3. Department of Genetics, National Institute of Rehabilitation (INR), Mexico City, Mexico

    Alberto Hidalgo-Bravo

  4. Nutrition and Health Research Center, National Institute of Public Health (INSP), Cuernavaca, Morelos, Mexico

    Edgar Denova-Gutiérrez

  5. Genomics of Bone Metabolism Laboratory, National Institute of Genomic Medicine (INMEGEN), Mexico City, Mexico

    Guadalupe León-Reyes & Rafael Velázquez-Cruz

  6. Epidemiological and Health Services Research Unit, Mexican Institute of Social Security, Morelos DelegationCuernavaca, Morelos, Mexico

    Yvonne N. Flores

  7. Department of Health Policy and Management and UCLA-Kaiser Permanente Center for Health Equity, Fielding School of Public Health, University of California, Los Angeles (UCLA), Los Angeles, CA, USA

    Yvonne N. Flores

  8. Fielding School of Public Health and Jonsson Comprehensive Cancer Center, UCLA Center for Cancer Prevention and Control Research, Los Angeles, CA, USA

    Yvonne N. Flores

Authors
  1. Berenice Rivera-Paredez
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Amado D. Quezada-Sánchez
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Karina Robles-Rivera
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Alberto Hidalgo-Bravo
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Edgar Denova-Gutiérrez
    View author publications

    You can also search for this author in PubMed Google Scholar

  6. Guadalupe León-Reyes
    View author publications

    You can also search for this author in PubMed Google Scholar

  7. Yvonne N. Flores
    View author publications

    You can also search for this author in PubMed Google Scholar

  8. Jorge Salmerón
    View author publications

    You can also search for this author in PubMed Google Scholar

  9. Rafael Velázquez-Cruz
    View author publications

    You can also search for this author in PubMed Google Scholar

Contributions

The authors’ contributions were as follows: BRP and RVC designed research; EDG, JS, and YNF provided essential reagents; BRP and RVC conducted research; BRP and ADQS analyzed data; BRP wrote the paper; and RVC, ADQS, AHB, EDG, KRR, GLR, JS, and YNF reviewed and edited the paper. BRP had primary responsibility for final content. All authors read and approved the final manuscript.

Corresponding authors

Correspondence to Berenice Rivera-Paredez or Rafael Velázquez-Cruz.

Ethics declarations

Ethical statement and informed consent

All procedures were reviewed and approved by the Institutional Review Board of the IMSS; all participants provided written informed consent.

Conflict of Interest

None.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Supplementary Information

Below is the link to the electronic supplementary material.

Supplementary file1 (DOCX 58 KB)

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Rivera-Paredez, B., Quezada-Sánchez, A.D., Robles-Rivera, K. et al. Dietary inflammatory index and bone mineral density in Mexican population. Osteoporos Int 33, 1969–1979 (2022). https://doi.org/10.1007/s00198-022-06434-7

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00198-022-06434-7

Keywords

Search

Navigation