Khankeldiev Sh. Kh. Regional features of the physical status of youth students fergana 2022 Reviewer

5.1. ANNUAL DYNAMICS OF INDICATORS OF MOTOR ACTIVITY OF STUDENTS
The highest indicators of motor activity on school days were recorded in April (16.6 ±3.5 thousand steps), October (16.9 ± 3.9 thousand steps) and November (16.7 ± 3.8 thousand steps) (Table 4.1), and the lowest indicators were recorded in June (7.8 ± 2.1 thousand steps) in the period of the examination session, in July (8,9 ± 4,2 thousand steps) and in August (9,8 ± 5,3 thousand steps). It was revealed that the months of July and August fall on vacation time, when motor activity is significantly lower than in a favorable time of the year.
Similar indicators of girls' motor activity were also revealed on weekends, the highest indicators of motor activity were registered in April (18.9 ±4.2 thousand steps), May (9.3 ±4.3 thousand steps) and November (18.0 ± 4.1 thousand steps). It follows from this that the most active in the motor attitude of girls are the autumn and spring months, where this region is usually characterized by good weather, moderate air temperature, lack of rain, etc. At the same time, low indicators of motor activity were recorded during the hot periods of the year and during examination sessions (Tables 4.3 and 4.4).
It is well known that in regions with high external ambient temperature, motor activity is significantly determined by weather conditions, it follows from the fact that there is a negative relationship between air temperature and motor activity indicators. Two correlation coefficients were calculated, one of which was calculated based on indicators of motor activity and air temperature recorded on different days of the summer months (2nd half of June - August). The air temperature ranged from +33 to 43 °C. The correlation coefficient was r=0.67, calculated from the data of 54 individual observations and is statistically significant at p<0.01. A similar correlation coefficient is equal to r=0.789 when data recorded in the spring months (April and May) were considered. In this case, the temperature fluctuation range was from +20 to +45 ° C. The correlation coefficient was calculated from the data of 108 observations at p < 0.001. The fact discovered during the experiment indicates that the spontaneous motor activity of girls is determined by the external air temperature.
It is quite natural that physical activity is influenced by environmental factors and individual characteristics of girls studying at this educational institution.


Table 7
Annual dynamics of changes in the motor activity of female students of the medical school (number of steps per day, thousand)

№	Months	Weekdays			Days off
		N	Х		N	Х
1	January: vacation session	11 13	9,4 19,2	2,7 4,5	11 10	9,3 19,4	2,9 4,1
2	February: Study holidays	14 13	20,0 14,2	5,1 3,1	12 14	21,3 17,1	4,8 3,7
3	March	16	14,8	4,1	14	16,9	3,9
4	April	17	16,6	3,5	15	18,9	4,2
5	May: Study session	14 15	16,1 11,2	2,9 3,1	13 12	19,3 12,4	4,3 2,1
6	June: Vacation session	15 16	7,8 10,1	2,1 2,3	12 12	8,1 10,2	2,4 2,1
7	July	24	8,9	4,2	The same as on weekdays
8	August	26	9,8	5,3	The same as on weekdays
9	September	16	15,6	3,2	14	16,8	3,9
10	October	17	16,9	3,9	15	17,5	4,2
11	November	14	16,7	3,8	14	18,0	4,1
12	December	15	16,2	3,9	12	17,1	3,9

Table 8
Differences between the motor activity of female students of medical colleges on weekdays and weekends

№	Months	N	Average differences	σ	Р
1	January: vacation session	11 10	-0,1 0,9	0,8 1,2	Insignificant Insignificant
2	February: Study holidays	12 13	1,3 2,9	2,6 1,3	Insignificant 0,05
3	March	14	2,1	1,4	0,05
4	April	15	2,3	1,1	0,01
5	May: Study session	13 12	2,2 1,2	0,9 1,1	0,001 Insignificant
6	June: Vacation session	12 12	0,9 0,1	0,9 0,8	Insignificant Insignificant
7	July	Not studied
8	August	Not studied
9	September	14	1,2	0,8	0,05
10	October	15	0,6	0,4	0,1
11	November	14	1,3	0,8	0,05
12	December	12	0,9	0,6	0,05

This is indicated by the correlation coefficients calculated by us between the indicators of motor activity recorded in the same female students at different times of the year.

Table 9
Differences between the motor activity of female students of the medical school during school days and the examination session

№	Months	Average differences	σ	Р
1	January: vacation session	9,8	2,3	0,001
2	May: Study session	4,9	1,4	0,01
3	June: Vacation session	2,3	1,2	0,05

Table 10
Differences between the motor activity of female students of medical colleges in the process of study and vacation days

№	Months	Average differences	σ	Р
1	February	5,8	1,4	0,001
2	August: holidays	-5,8	1,7	0,001

Table 4.4 shows the correlation coefficients calculated between the indicators on weekends that were able to participate in all our experiments during the year.

Multiple observations made it possible to calculate 68 correlation coefficients between the indicators recorded in different months of the year. Correlation coefficients are statistically significant with 95% probability.
The analysis of correlation indicators revealed that in the vast majority of cases the registered coefficients exceed the above tabular values. this indicates a high dependence between the indicators of motor activity of female students in different months of the year are statistically significant. At the same time, factors were recorded when the correlation coefficient between indicators of motor activity, on days with high external temperature (in July and August), reaches quite significant values (0.811).
During the experiment, it was revealed that those subjects who led a motor-active lifestyle in certain months of the year were more motor-active in all seasons of the year, which indicates the presence of stable individual differences. It has been revealed that different people have a certain lifestyle, differing in fairly stable motor activity.
"Motoric ally active" female students continue to remain so throughout the year, compared with female students who lead a passive lifestyle in terms of movement.


Table11
Correlation between the values of motor activity in different months of research (on weekends) (n=12)

Months	1	2	3	4	5	6	7	8	9	10	11	12
1	х	618	577	628	711	581	638	725	797	587	512	611
2		х	634	587	593	611	585	512	639	615	634	587
3			х	625	597	634	687	518	545	584	611	585
4				х	627	534	587	624	578	639	687	515
5					х	599	518	517	492	531	425	517
6						х	538	611	438	581	632	611
7							х	811	515	511	425	581
8								х	617	527	611	538
9									х	712	187	627
10										х	684	425
11											х	615
12												х

Note: When writing correlation coefficients, zeros and commas are omitted.

These data give reason to conclude that the motor activity of those engaged is determined by a combination of several factors, which should include:
- individual characteristics (individual lifestyle);
- socio-educational factors (the motor activity of female students significantly decreases during the examination sessions);
– regional factors (hyperthermia conditions).
The discovered pattern is that the motor activity of female students in the summer months is significantly lower than in seasons with moderate temperatures.