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Environmental Health and Preventive Medicine

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01.09.2009 | Regular Article

The relationship between clustering health-promoting components of lifestyle and bone status among middle-aged women in a general population

verfasst von: Satoshi Tsuboi, Takehito Hayakawa, Hideyuki Kanda, Tetsuhito Fukushima

Erschienen in: Environmental Health and Preventive Medicine | Ausgabe 5/2009

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Abstract

Objective

The association between clustering health-promoting components of lifestyle and bone status was examined among middle-aged women.

Methods

A cross-sectional study was conducted in Tadami Town, Fukushima Prefecture, Japan, in 2007. A total of 305 middle-aged women (mean age 55.2 years) participated. The Health-Promoting Lifestyle Profile II was used to assess health-promoting components of lifestyle. Participants’ bone status was examined using quantitative ultrasonic calcaneal measurement.

Results

A total of 139 participants (45.6%) were defined as having low bone stiffness. In the low bone stiffness group, the mean age was significantly higher, and prevalence of interpersonal relationships score over 3.0 was lower than that in the normal bone stiffness group. There were significant trends in the prevalence of low bone stiffness, each health-promoting component of lifestyle, and presence of hypertension and diabetes mellitus, based on the number of frequently selected health-promoting components of lifestyle. The number of frequently selected health-promoting components of lifestyle correlated negatively with the prevalence of low bone stiffness in both crude and adjusted results.

Conclusion

This research is particularly important as we suggest health-promotion strategies for the prevention of osteoporosis. A synthetic approach, which includes health responsibility, spiritual growth, interpersonal relations, and stress management, and physical activity and nutrition, may be effective and complement traditional strategies.

National Institute of Health. Osteoporosis prevention, diagnosis, and therapy. NIH Consens Statement. 2000;17:1–45.

World Health Organization. Prevention and management of osteoporosis. World Health Organ Tech Rep Ser. 2003;921:1–164 (back cover).

Chrischilles EA, Butler CD, Davis CS, Wallace RB. A model of lifetime osteoporosis impact. Arch Intern Med. 1991;151:2026–32.PubMedCrossRef

Shigesato T, Akira I, Hisakazu K, Miho I, Ryuichi K, Ryuichi K, Masako I, Fusami M, Akiko T, Rie M. Population projections for Japan 2001–2050, with long-range population projections: 2051–2100. J Popul Social Security (Popul). 2003;1:1–43.

Kröger H, Huopio J, Honkanen R, Tuppurainen M, Puntila E, Alhava E, et al. Prediction of fracture risk using axial bone mineral density in a perimenopausal population; a prospective study. J Bone Miner Res. 1995;10:302–6.PubMedCrossRef

Chapurlat RD, Garnero P, Sornay-Rendu E, Arlot ME, Claustrat B, Delmas PD. Longitudinal study of bone loss in pre- and perimenopausal women: evidence for bone loss in perimenopausal women. Osteoporos Int. 2000;11:493–8.PubMedCrossRef

Wolff I, van Croonenborg JJ, Kemper HC, Kostense PJ, Twisk JW. The effect of exercise training programs on bone mass: a meta-analysis of published controlled trials in pre- and postmenopausal women. Osteoporos Int. 1999;9:1–12.PubMedCrossRef

Looker AC, Harris TB, Madans JH, Sempos CT. Dietary calcium and hip fracture risk: the NHANES I Epidemiologic Follow-Up Study. Osteoporos Int. 1993;3:177–84.PubMedCrossRef

Pocock N, Eisman J, Bwinn T, Sambrook P, Kelly P, Freund J, et al. Muscle strength, physical fitness, and weight but not age predict femoral neck bone mass. J Bone Miner Res. 1989;4:441–8.PubMedCrossRef

10.

Kanis JA, Johnell O, Oden A, Johansson H, De Laet C, Eisman JA, et al. Smoking and fracture risk: a meta-analysis. Osteoporos Int. 2005;16:155–62.PubMedCrossRef

11.

Kanis JA, Johansson H, Johnell CO, Oden A, De Laet C, Eisman JA. Alcohol intake as a risk factor for fracture. Osteoporos Int. 2005;16:737–42.PubMedCrossRef

12.

Walker SN, Sechrist KR, Pender NJ. The Health-Promoting Lifestyle Profile: development and psychometric characteristics. Nurs Res. 1987;36:76–81.PubMedCrossRef

13.

Wei C-N, Yonemitsu H, Harada K, Miyakita T, Omori S, Miyabayashi T. A Japanese-language version of the Health-Promoting Lifestyle Profile. Jpn J Hyg. 2000;54:597–606.

14.

Reedy J, Haines PS, Campbell MK. The influence of health behavior clusters on dietary change. Prev Med. 2005;41:268–75.PubMedCrossRef

15.

O’Halloran P, Lazovich D, Patterson RE, Harnack L, French S, Curry SJ, et al. Effect of health lifestyle pattern on dietary change. Am J Health Promot. 2001;16:27–33.PubMed

16.

Berrigan D, Dodd K, Troiano RP, Krebs-Smith SM, Barbash RB. Patterns of health behavior in US adults. Prev Med. 2003;36:615–23.PubMedCrossRef

17.

Pronk NP, Anderson LH, Crain AL, Martinson BC, O’Connor PJ, Sherwood NE, et al. Meeting recommendations for multiple healthy lifestyle factors. prevalence, clustering, and predictors among adolescent, adult, and senior health plan members. Am J Prev Med. 2004;27:25–33.PubMedCrossRef

18.

Myint PK, Luben RN, Wareham NJ, Bingham SA, Khaw KT. Combined effect of health behaviors and risk of first ever stroke in 20, 040 men and women over 11 years’ follow-up in Norfolk cohort of European prospective investigation of cancer (EPIC Norfolk): prospective population study. BMJ. 2009;338:b349.PubMedCrossRef

19.

Wiley JA, Camacho TC. Lifestyle and future health: evidence from the Alameda county study. Prev Med. 1980;9:1–21.PubMedCrossRef

20.

Tsuda-Futami E, Hans D, Njeh CF, Fuerst T, Fan B, Li J, et al. An evaluation of a new gel-coupled ultrasound device for the quantitative assessment of bone. Br J Radiol. 1999;72:691–700.PubMed

21.

Greenspan SL, Bouxsein ML, Melton ME, Kolodny AH, Clair JH, Delucca PT, et al. Precision and discriminatory ability of calcaneal bone assessment technologies. J Bone Miner Res. 1997;12:1303–13.PubMedCrossRef

22.

Fujiwara S, Sone T, Yamazaki K, Yoshimura N, Nakatsuka K, Masunari N, et al. Heel bone ultrasound predicts non-spine fracture in Japanese men and women. Osteoporos Int. 2005;16:2107–12.PubMedCrossRef

23.

Hans D, Dargent-Molina P, Schott AM, Sebert JL, Cormier C, Kotzki PO, et al. Ultrasonographic heel measurements to predict hip fracture in elderly women: the EPIDOS prospective study. The Lancet. 1996;348:511–4.CrossRef

24.

Díez-Pérez A, Marín F, Vila J, Abizanda M, Cervera A, Carbonell C, et al. Evaluation of calcaneal quantitative ultrasound in a primary care setting as a screening tool for osteoporosis in postmenopausal women. J Clin Densitom. 2003;6:237–45.PubMedCrossRef

25.

Hamidi Z, Sedaghat M, Hejri SM, Larijani B. Defining cut-off values for the diagnosis of osteoporosis in postmenopausal women by quantitative ultrasonography of the phalanx. Gynecol Endocrinol. 2008;24:546–8.PubMedCrossRef

26.

Minnock E, Cook R, Collins D, Tucker J, Zioupos P. Using risk factors and quantitative ultrasound to identify postmenopausal caucasian women at risk of osteoporosis. J Clin Densitom. 2008;11:485–93.PubMedCrossRef

27.

Della Martina M, Fabiani G, Biasioli A, Piccoli V, Vascotto L, Driul L, et al. Identification of patients with a high risk of osteoporosis. Analysis of risk factors, ultrasonography and DEXA, in a female population in the North East of Italy. Minerva Ginecol. 2008;60:97–104.PubMed

28.

The osteoporosis foundation. Manual of the prevention of osteoporosis by the law of health for the elderly. Tokyo: Japan medical journal; 2000. p. 61–85 (in Japanese).

29.

Sakata S. Establishment of cut-off point of calcaneal quantitative ultrasound by population based data. J Bone Miner Metab. 1998;15: 171–6 (in Japanese).

30.

Lock CA, Lecouturier J, Mason JM, Dickinson HO. Lifestyle interventions to prevent osteoporotic fractures: a systematic review. Osteoporos Int. 2006;17:20–8.PubMedCrossRef

31.

Pearson JA, Burkhart E, Pifalo WB, Palaggo-Toy T, Krohn K. A lifestyle modification intervention for the treatment of osteoporosis. Am J Health Promot. 2005;20:28–33.PubMed

32.

McAlister AL. Population behavior change: a theory-based approach. J Public Health Policy. 1991;12:345–61.PubMedCrossRef

33.

Huppert FA, Whittington JE. Evidence for the independence of positive and negative well-being: implications for quality of life assessment. Br J Health Psychol. 2003;8(Pt 1):107–22.PubMedCrossRef

34.

Tai H, Miyaura C, Pilbeam CC, Tamura T, Ohsugi Y, Koishihara Y, et al. Transcriptional induction of cyclooxygenase-2 in osteoblasts is involved in interleukin-6-induced osteoclast formation. Endocrinology. 1997;138:2372–9.PubMedCrossRef

35.

Friedman EM, Hayney M, Love GD, Singer BH, Ryff CD. Plasma interleukin-6 and soluble IL-6 receptors are associated with psychological well-being in aging women. Health Psychol. 2007;26:305–13.PubMedCrossRef

36.

Ohaeri JU, Olusina AK, Al-Abassi A-HM. Factor analytical study of the short version of the world health organization quality of life instrument. Psychopathology. 2004;37:242–8.PubMedCrossRef

37.

Emerson E, Hatton C. Self-reported well-being of women and men with intellectual disabilities in England. Am J Ment Retard. 2008;113:143–55.PubMedCrossRef

38.

Adams VHIII, Jackson JS. The contribution of hope to the quality of life among African Americans: 1980–1992. Int J Aging Hum Dev. 2000;50:279–95.PubMedCrossRef

39.

Galavotti C, Pappas-DeLuca KA, Lansky A. Modeling and reinforcement to combat HIV: The MARCH approach to behavior change. Am J Public Health. 2001;91:1602–7.PubMedCrossRef

40.

Kelly MP, Charlton BG, Hanlon P. The four levels of health promotion: an integrated approach. Public Health. 1993;107:319–26.PubMedCrossRef

Titel: The relationship between clustering health-promoting components of lifestyle and bone status among middle-aged women in a general population
verfasst von: Satoshi Tsuboi
Takehito Hayakawa
Hideyuki Kanda
Tetsuhito Fukushima
Publikationsdatum: 01.09.2009
Verlag: Springer Japan
Erschienen in: Environmental Health and Preventive Medicine / Ausgabe 5/2009
Print ISSN: 1342-078X
Elektronische ISSN: 1347-4715
DOI: https://doi.org/10.1007/s12199-009-0099-4

Springer Medizin

Abstract

Objective

Methods

Results

Conclusion

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