Model Selection and Identification of Osteoporosis Risk Factors in Women to Improve Their Healthcare

Publication Type:
Journal Article
Journal of Healthcare Engineering, 2023, 2023, pp. 3571769
Issue Date:
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Osteoporosis is characterized by low bone mineral density leading to enhanced bone fragility and a consequent increase in fracture risk The focus of this case control study was to identify significant socioeconomic risk factors of osteoporosis in Pakistani women and examine how the risk increases for different levels of risk factors A case control study was conducted from November 2018 to August 2019 in two main hospitals in Faisalabad Pakistan Multiple logistic regression was used to explore the significant risk factors of osteoporosis and how the risk increases in cases cases 120 as compared to the control group controls 120 in the presence of these risk factors The mean age standard deviation for cases and controls was 59 62 10 75 and 54 27 10 09 respectively The minimum and maximum ages were 36 and 80 years respectively In addition to age bone fracture family history regular physical activity family size use of meat type of birth breastfeeding premature menopause loss of appetite and use of anticoagulants were significant risk factors with i p i values less than 0 05 The risk prediction model with significant risk factors was a good fit with a i p i value of 0 28 corresponding to the Hosmer Lemeshow test value i i 2 9 78 This parsimonious model with Cox Snell i R i 2 0 50 with a maximum value 0 75 and Nagelkerke i R i 2 0 66 showed an AUC of 0 924 as compared to the full model with all risk factors under study that exhibited an AUC of 0 949
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