biologia - Studia

MODIFICATIONS OF BONE PARAMETERS IN OSTEOPOROSIS
Types of osteoporosis, age and sex distribution of osteoporosis in 361 patients.
Type of
osteoporosis
Age group
Parameter
Number of patients
Male Female Total
Idiopathic juvenile osteoporosis 1 2 3
Postmenopausal osteoporosis 0 246 246
Senile osteoporosis 4 72 76
Secondary osteoporosis 15 21 36
< 40 2 11 13
40 - 44 1 12 13
45 - 49 2 28 30
50 - 54 0 67 67
55 - 59 5 62 67
60 - 64 2 35 37
65 - 69 3 56 59
70 - 74 2 41 43
75 - 79 2 26 28
≥ 80 0 4 4
Table 1.
The T-score is calculated on the basis of the difference between the
patient’s bone mineral density and the average bone mineral density of a healthy adult
population (of the same sex and race), related to the standard deviation of that
population. The Z-score is calculated on the basis of the difference between the
patient’s bone mineral density and the average bone mineral density of a
population of the same age, related to the standard deviation of that population.
A patient’s Z-score indicates the number of standard deviations which are
below or above the mean value of the same age persons. A Z-score value of 0
means that the patient’s bone mineral density coincides with the bone mineral
density mean value for the respective age. A Z-score value of -1, for example, shows
that the patient’s bone mineral density is lower than the mean value for the
respective age, being 1 standard deviation below the mean value.
The T-score indicates the number of standard deviations which are below
the mean value of the bone mineral density of young adults (25-45 years old). A T-
score value of 0 shows that the patient’s bone mineral density corresponds to the
mean value found in the case of young adults (Cummings et al., 2002).
The individual data have been introduced in research tables and quantified.
For processing the data and for the graphs, we used Excel and GraphPad InStat 3.05
programs. In the statistical tests, we used the following interpretation of the p-
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