Advances in Clinical and Experimental Medicine

Title abbreviation: Adv Clin Exp Med
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Advances in Clinical and Experimental Medicine

2017, vol. 26, nr 4, July, p. 627–633

doi: 10.17219/acem/62832

PubMed ID: 28691418

Publication type: original article

Language: English

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Associations between the number of natural teeth and the maternal age at childbirth or history of parity in postmenopausal women: The 2010–2012 Korea national health and nutrition examination survey

Kyungdo Han1,A,B,C,D,E,F, Insoo Kim2,B,C,D,E,F, Yong-Gyu Park1,A,B,C,D,E,F, Jun-Beom Park3,A,B,C,D,E,F

1 Department of Biostatistics, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea

2 Department of Oral and Maxillofacial Surgery, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea

3 Department of Periodontics, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea

Abstract

Background. The relationship between reproductive factors, including pregnancy and delivery, and the number of teeth in postmenopausal women remains to be revealed.
Objectives. The aim of this study was to evaluate the relationship between age at first and last delivery, parity and the number of natural teeth in postmenopausal women, using nationally representative data.
Material and Methods. Data from the Korea National Health and Nutrition Examination Survey between 2010 and 2012 were used, and the analysis in this study was confined to a total of 4,060 respondents who had gone through menopause and had no missing values for the reproductive factors and outcome variables. The total number of natural teeth was then calculated after excluding third molars, and frequency of tooth brushing was recorded as oral health behavior. Univariate and multivariate logistic regression analyses were used to assess the associations between the number of natural teeth and reproductive factors.
Results. Both a woman’s age at her last childbirth and the number of pregnancies had statistically significant effects on the number of natural teeth remaining after menopause. With each one-year increase of age at a woman’s last delivery, the number of natural teeth decreased by a value of 0.12 (p < 0.05). Similar trends were seen with increases in parity, which resulted in decreases in the number of natural teeth by 0.65 (p < 0.05). The odds ratios of the percentage of individuals with a 20 or fewer teeth tended to increase with increases in the woman’s age at her last childbirth.
Conclusion. This study identified an association between the number of natural teeth and a woman’s age at her last childbirth as well as between the number of natural teeth and parity. Higher ages at last childbirth and higher parity were found to be potential risk indicators for tooth loss in postmenopausal women.

Key words

epidemiology, hormone replacement therapy, menopause, parity, tooth loss

References (33)

  1. Bragg JM, Kuzawa CW, Agustin SS, Banerjee MN, McDade TW. Age at menarche and parity are independently associated with Anti-Mullerian hormone, a marker of ovarian reserve, in Filipino young adult women. Am J Hum Biol. 2012;24:739–745.
  2. Do KA, Treloar SA, Pandeya N, et al. Predictive factors of age at menopause in a large Australian twin study. Hum Biol. 1998;70:1073–1091.
  3. Gold EB. The timing of the age at which natural menopause occurs. Obstet Gynecol Clin North Am. 2011;38:425–440.
  4. Luoto R, Kaprio J, Uutela A. Age at natural menopause and sociodemographic status in Finland. Am J Epidemiol. 1994;139:64–76.
  5. Henderson KD, Bernstein L, Henderson B, Kolonel L, Pike MC. Predictors of the timing of natural menopause in the multiethnic cohort study. Am J Epidemiol. 2008;167:1287–1294.
  6. Gold EB, Bromberger J, Crawford S, et al. Factors associated with age at natural menopause in a multiethnic sample of midlife women. Am J Epidemiol. 2001;153:865–874.
  7. Ahn E, Lee J, Park YS, Noh HM, Kim BH. Association between delivery at an advanced maternal age and osteoporosis in elderly Korean women. JBMM. 2014.
  8. Cho GJ, Shin JH, Yi KW, et al. Adolescent pregnancy is associated with osteoporosis in postmenopausal women. Menopause (New York, NY). 2012;19:456–460.
  9. Sorensen MD, Hsi RS, Chi T, et al. Dietary intake of fiber, fruit and vegetables decreases the risk of incident kidney stones in women: A Women’s Health Initiative report. J Urol. 2014;192:1694–1699.
  10. Agarwal DP. Cardioprotective effects of light-moderate consumption of alcohol: A review of putative mechanisms. Alcohol and Alcoholism (Oxford, Oxfordshire). 2002;37:409–415.
  11. Oh JY, Yang YJ, Kim BS, Kang JH. Validity and reliability of Korean version of International Physical Activity Questionnaire (IPAQ) short form. J Korean Acad Fam Med. 2007;28:532–541.
  12. Weisell RC. Body mass index as an indicator of obesity. Asia Pac J Clin Nutr. 2002;11(Suppl 8):S681-684.
  13. Oh SW, Shin SA, Yun YH, Yoo T, Huh BY. Cut-off point of BMI and obesity-related comorbidities and mortality in middle-aged Koreans. Obesity Research. 2004;12:2031–2040.
  14. Wallace TM, Levy JC, Matthews DR. Use and abuse of HOMA modeling. Diabetes Care. 2004;27:1487–1495.
  15. Chun YH, Kim HR, Han K, Park YG, Song HJ, Na KS. Total cholesterol and lipoprotein composition are associated with dry eye disease in Korean women. Lipids Health Dis. 2013;12:84.
  16. Jeon JY, Ko SH, Kwon HS, et al. Prevalence of Diabetes and Prediabetes according to Fasting Plasma Glucose and HbA1c. Diabetes Metab J. 2013;37:349–357.
  17. Weber MA, Julius S, Kjeldsen SE, et al. Blood pressure dependent and independent effects of antihypertensive treatment on clinical events in the VALUE Trial. Lancet. 2004;363:2049–2051.
  18. Ueno M, Ohara S, Inoue M, Tsugane S, Kawaguchi Y. Association between parity and dentition status among Japanese women: Japan public health center-based oral health study. BMC Public Health. 2013;13:993.
  19. Christensen K, Gaist D, Jeune B, Vaupel JW. A tooth per child? Lancet. 1998;352:204.
  20. Russell SL, Ickovics JR, Yaffee RA. Parity & untreated dental caries in US women. JDR. 2010;89:1091–1096.
  21. Scheutz F, Baelum V, Matee MI, Mwangosi I. Motherhood and dental disease. Community Dental Health. 2002;19:67–72.
  22. Walker AR, Dison E, Walker BF. Dental caries in South African rural black women who had large families and long lactations. J Trop Med Hyg. 1983;86:201–205.
  23. Laine MA. Effect of pregnancy on periodontal and dental health. Acta Odontol Scand. 2002;60:257–264.
  24. Luppi P. How immune mechanisms are affected by pregnancy. Vaccine. 2003;21:3352–3357.
  25. Barak S, Oettinger-Barak O, Oettinger M, Machtei EE, Peled M, Ohel G. Common oral manifestations during pregnancy: A review. Obstetrical & Gynecological Survey. 2003;58:624–628.
  26. Kornman KS, Loesche WJ. The subgingival microbial flora during pregnancy. J Periodontal Res. 1980;15:111–122.
  27. Ojanotko-Harri AO, Harri MP, Hurttia HM, Sewon LA. Altered tissue metabolism of progesterone in pregnancy gingivitis and granuloma. J Clin Periodontol. 1991;18:262–266.
  28. Ribeiro MT, Rosa MA, Lima RM, Vargas AM, Haddad JP, Ferreira EFE. Edentulism and shortened dental arch in Brazilian elderly from the National Survey of Oral Health 2003. Revista de Saude Publica. 2011;45:817–823.
  29. Global goals for oral health in the year 2000. Federation Dentaire Internationale. International Dental Journal. 1982;32:74–77.
  30. Ervin RB, Dye BA. Number of natural and prosthetic teeth impact nutrient intakes of older adults in the United States. Gerodontology. 2012;29:e693–702.
  31. Choi HM, Han K, Park YG, Park JB. Associations Among Oral Hygiene Behavior and Hypertension Prevalence and Control: The 2008-2010 Korea National Health and Nutrition Examination Survey. J Periodontol. 2015:1–19.
  32. Kim Y. The Korea National Health and Nutrition Examination Survey (KNHANES): Current status and challenges. Epidemiol Health. 2014;36:e2014002.
  33. Lee WH, Wee JH, Kim DK, et al. Prevalence of subjective olfactory dysfunction and its risk factors: korean national health and nutrition examination survey. PloS One. 2013;8:e62725.