Research Article

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

Table 1

Frequencies and percentages of categorical risk factors.

VariableCategoriesControl% ageCase% ageVariableCategoriesControl% ageCase% age

LocalityUrban5949.176554.17Delivery kindNone54.17108.33
Rural6150.835545.83Normal10486.6710083.33
LiteracyIlliterate7360.839075Major119.17108.33
Literate4739.173025Feeding as a motherNo1310.831210
AwarenessNo1089011495Yes10789.1710890
Yes121065Feeding as a patientNo97.521.67
SymptomsTiredness2924.174134.17Yes11192.511898.33
Body pain9175.837965.83Menopause statusNormal10688.339478.33
FractureNo9982.55747.5Abnormal1411.672621.67
Yes2117.56352.5Menstruation frequencyHigh2016.672823.33
Fracture historyNo11091.679276.67Normal10083.339276.67
Yes108.332823.33Menstruation duration4–7 days11797.511091.67
Family historyNo11797.510486.67≥8 days32.5108.33
Yes32.51613.33Menstruation regularityIrregular21.6765
Physical activityNo4335.8310385.83Regular11898.3311495
Yes7764.171714.17Regular calcium intakeNo10083.3310688.33
Sun exposureNo2218.333831.67Yes2016.671411.67
Yes9881.678268.33AppetitePoor1714.175848.33
Calcium in pregNo10083.3311192.5Normal10385.836251.67
Yes2016.6797.5Abdomen systemAbnormal2319.175646.67
House ownedRented1411.671613.33Normal9780.836453.33
Owned10688.3310486.67Sleep disturbanceNo9175.834235
Milk05646.677865Yes2924.177865
>=16453.334235Mental stressNo10184.175545.83
MeatNone86.672016.67Yes1915.836554.17
Red30252117.5ComorbidityNo9377.52621.67
White + red8268.337965.83Yes2722.59478.33
Meat frequency04739.177360.83AnticoagulantsNo11898.3310285
>=17360.834739.17Yes21.671815
Eggs/week066559075Marital statusMarried10083.336755.83
>=154453025Widow2016.675344.17