Skip to main navigation Skip to search Skip to main content

Osteoporosis and risk factors among postmenopausal women in integrated health post for elderly

Research output: Contribution to journalArticlepeer-review

Abstract

Objectives: The availability of prevalence data for osteoporosis in Indonesia is limited due to the constrained access to BMD measurements, especially in rural areas. Integrated Health Post for the Elderly (Posyandu Lansia) is one of the Indonesian government's programs to monitor and provide health care for the elderly, including postmenopausal women. This study aimed to determine the prevalence of osteoporosis and related risk factors in postmenopausal women. Methods: Respondents were 249 postmenopausal women from 440 people who attended the Posyandu Lansia from 9 villages in Sidoarjo. Quantitative ultrasound was used for calcaneal BMD measurement; other data were collected via questionnaires and enumerated by trained villagers. Results: Our study revealed that the prevalence of osteoporosis postmenopausal women was 73.5%. The osteoporosis risk factors of age, BMI, weight, and menopause duration were associated with T-scores both individually (p<0.05) or simultaneously (p< 0.001), while menopause age and exercise did not. Conclusions: Groups possessing high-risk factors associated with a high prevalence of osteoporosis are postmenopausal women age ≥ 65 years, BMI < 20 kg/m2, weight < 58 kg and duration of menopause > 6 years. Regardless of the groupings, the prevalence of osteoporosis was very high in postmenopausal women. Dietary and exercise adjustments as well as pharmacotherapy may be required to improve their bone health.

Original languageEnglish
Pages (from-to)286-294
Number of pages9
JournalJournal of Global Pharma Technology
Volume11
Issue number8
Publication statusPublished - 2019

Keywords

  • Osteoporosis
  • Postmenopause
  • QUS
  • Risk factors

Fingerprint

Dive into the research topics of 'Osteoporosis and risk factors among postmenopausal women in integrated health post for elderly'. Together they form a unique fingerprint.

Cite this