Effects of phyisical exercise on ability measured by FMS tests and mental health of middle-aged persons
Автор: Jovanović I., Petronijević S., Ćopić N., Zubić I.
Журнал: Sport Mediji i Biznis @journal-smb
Статья в выпуске: 2 vol.9, 2023 года.
Бесплатный доступ
The aim of the research was to determine the impact of physical exercise on: 1. abi-lities measured by FMS tests, 2. the impact of physical status on the mental health of middle-aged people and 3. body composition. The research used a quasi-experimental design (test-retest). 20 respondents (11 men and 9 women) were included in this paper. The average age of the respondents is 52.3 years, average body height 169.4 cm, average body weight 78.62 kg. All respondents live in the territory of the United Arab Emirates, where they are physically minimally active or completely inactive. Body impedance (InBody120), FMS device and survey questionnaire were used in the research. Descriptive statistics and T-test were used for data processing. The results showed that there is a statistically significant difference in the variables that were measured at the beginning and after the application of the defined exercise program (test-retest), in the variable point score-FMS test (p = 0.000) and in the satisfaction questionnaire (p < 0.05). However, the exercise program had no effect on body com-position because it focused on trunk mobility and stabilization exercises.
FMS tests, questionnaire, body composition
Короткий адрес: https://sciup.org/170203606
IDR: 170203606 | DOI: 10.58984/smb2302111j
Текст научной статьи Effects of phyisical exercise on ability measured by FMS tests and mental health of middle-aged persons
DOI:
The term fitness has become completely domesticated in our speech, so it is no longer translated. Matić states that the word fit is of English origin and means everything that modern programs and movements of physical culture want a person to be, i.e. suitable, fit, right, good, capable, ready, ready, healthy (Matić, 1998).
FMS is a method created in 1995 and founded by Gray Cook, Lee Burton and Kate Fields, but only in the last few years has it become an indispensable tool in the physical preparation of professional athletes, as well as recreational ones. It is used to identify limitations or asymmetries in seven fundamental movement patterns that are critical to the functional quality of an individual's movement. These forms are designed to assess the ability of the locomotor apparatus, mainly through stability (resisting unwanted forces, as well as the ability to control force and power) and mobility (appropriate movement in a joint), (Functional Movement Screen). Any deviations in relation to the correct performance of the exercise, which is characterized by balance, speed, coordination of movements, followed by the least possible expenditure of energy, are noticed. The basic idea on which FMS is based is the assumption that every muscle and joint system must fulfill its function in order for the body to have a high level of functionality. Through such testing, we can obtain information about asymmetries and limitations, which is of great importance for training programming.
The main goal of the research is to determine the effect of physical exercise on the exerciser's abilities measured by FMS (Functional Movement Screen) tests and the mental health of middle-aged people.
Materials and Methods
The sample of respondents consisted of male and female adults, the number of respondents was 20, aged between 40 and 60 years. There were 11 male and 9 female respondents. The average age of the respondents is 52.3 years. The average body height of the subjects is 169.4 cm, the average body weight of the subjects is 78.63 kg. Before the research, the respondents led a sedentary lifestyle. All respondents were informed about the research before the beginning and voluntarily agreed to participate. The main condition for participation in the research is that the person lives in the United Arab Emirates, that he is physically minimally active or completely inactive.
Study design and research protocol
The research used a quasi-experimental design (pretest-posttest), that is, a design with initial and final measurements, which lasted six weeks. In the mentioned period, a program of activities lasting one hour, three times a week in the gym or at home, was implemented. The task of this program is not the process of losing weight, but rather the correction of postural status, through mobility, flexibility, stability and basic strength exercises that do not require the use of complex props, but only your own body. After the initial test, the respondents received an exercise program the next day. The program was held three times a week, lasting from 45 minutes to 1 hour.
The exercise program was divided into an introductory-preparatory, main and final part. Introductory - preparatory part consisted of two parts: neuromuscular stimulation and stabilization. The main part consisted of mobility exercises and strength exercises. The final part was unloading and rehydration.
In the introductory-preparatory phase, we have two subphases, neuromuscular stimulation and stabilization. Neuro-muscular stimulation had the task of stimulating and activating a specific muscle region, i.e. warming up the muscle apparatus using rollers, stimulating a large group of muscles and tennis balls, which had the task of activating a specific region of the body. Trunk stabilization is the primary function of the trunk muscles. Through isometric exercises, the working temperature increases, and thus the efficiency of the trunk, whose task is to evenly transfer forces from the upper to the lower part of the body and vice versa.
In the main phase of the program , we also have two sub-phases, mobility and strength exercises. Mobility is done immediately after stabilization. 1-2 series are done, depending on the physical condition, and 12 to 15 repetitions in a series. The exercises are dynamic in nature, but the tempo of the exercise is controlled, which means that the subject has complete control over the movements. These exercises fully activate the joint regions of the body, increase the range of motion and prepare the musculoskeletal system. In this phase, exercises have the greatest advantage precisely in that region, which is the most threatened. This phase is followed by the second phase - strength exercises.
Strength exercises are done in two to three sets, with 12 to 15 repetitions each. In this phase, all large muscle groups are worked. Elastic bands and mini bands are used. This phase has the task of triggering the central nervous system for muscular adaptation.
The final phase has the task of gradually relaxing the body and rehydrating. The respondents were tasked with keeping records of how they felt before, during and after training.
They implemented the program at home or in a fitness center.
After six weeks, the final measurement (retest) was performed. All subjects adhered to the basic requirements and had no other form of physical activity. Also, the respondents were physically healthy, i.e. no medical barrier to participation in the exercise program was identified .
Variables
Body composition variables
Bioelectric impedance (BIA) represents one of the most effective, fast, relatively cheap and valid methods of body composition analysis. The reliability of the result depends on the quality of the device, the training of the person performing the analysis, the accurately measured height and weight, the position of the extremities (extremity angle of 30o-45o in relation to the body), that the subject has not taken food a few hours before the analysis, that his bladder is empty, that he did not practice physical activity, depends on the phase of the menstrual cycle. People who have a pacemaker and pregnant women are not recommended to use this measurement method (Đurđević, 2021).
The data processed were:
-
• TBW – Total Body Water ,
-
• Protein,
-
• Minerals,
-
• BFM – Body Fat Mass ,
-
• WT – Weight ,
-
• SMM – Skeletal Muscle Mass ,
-
• BMI – Body Mass Index ,
-
• PBF – Percent Body Fat ,
-
• InBS – InBody Score ,
-
• WHR – Waist-Hio Ratio ,
-
• VFL – Visceral Fat Level .
Variables of FMS tests
FMS is intended for everyone regardless of gender, age, profession, the test should not last longer than 15 minutes and contains seven tests:
-
• Deep Squat
-
• Hurdle Step
-
• In-line Lumge
-
• Shoulder Mobility
-
• Active Straight Leg Raise
-
• Trunk Stability Push Up
-
• Rotary Stability
Score 3 – Test performed without any compensations
Score 2 – Test performed with certain compensations
Score 1 - The test cannot be performed even with compensations
Score 0 – Pain occurs during the performance of any test
With FMS tests, there is no need to use the variables of all 7 tests, for the reason that at the end of the test, the total result is added up, which is a guide towards progression and a positive result. The maximum score is 21.
-
• Тscore – (Total Score Tests 1-7), Total result of FMS testing, expressed in
points from 1-21.
There are also so-called Three clearing tests are done after shoulder mobility, pushups, and rotational stability to make sure there is no pain that didn't show up on those tests.
Survey questionnaire variables
With the survey questionnaire, we have 10 questions that the respondents filled in after the FMS test. They filled out the questionnaire in both the initial and final measurements.
T_P1 – Test question number 1 . How would you rate your overall general health?
T_P2 – Test question number 2. How would you rate the performance of the FMS test?
T_P3 - Test question number 3. How would you rate the performance of the overhead squat?
T_P4 – Test question number 4. How would you rate your health in the last four weeks?
T_P5 – Test question number 5. Does your current physical condition limit your activities?
T_P5a - Test question number 5а. Running, lifting heavy objects, participating in intense sports activities,
T_P5b - Test question number 5b. Moderate activities, cycling, housework, gardening, etc.
T_P5c - Test question number 5c. Lifting and carrying bags from the supermarket,
T_P5d - Test question number 5d. Walking, brisk walking, climbing stairs,
T_P5e - Test question number 5е. Bending, kneeling, stooping,
T_P6 – Test question number 6. Does your current physical condition limit your time during activities?
Т_P7 – Test question number 7. Have you experienced physical pain in the past 4 weeks?
T_P9 – Test question number 9. How much have your social activities been disrupted in the last 4 weeks, due to your health condition and emotional problem? (Such as visiting friends, relatives, etc.)
T_P10 – Test question number 10. Has physical activity changed your physical and emotional state in the last 4 weeks? (Only if you were active)
R_P1 – is the mark for retest questions in the order they were done after the completion of the entire research paper.
Data collection
In the research, the FMS device and FMS paper, portable bioimpedance (INBODY120, n.d.) and a survey questionnaire, which contains ten questions, related to the self-assessment of the quality of life related to the current physical and mental state of the respondents, were used as means of data collection.
Statistical analysis
For statistical data processing, descriptive statistics T-test analysis was used, which is considered to be the most reliable in this type of testing. The test results were first entered from paper into the Microsoft Excel Worksheet program, where they were selected, and then transferred to the statistical package SPSS 20.
Results and discussion
Table 1. shows the descriptive indicators of the physical test and retest variables composition in middle-aged people.
Table 1. Descriptive indicator of body composition variables in middle-aged people.
Varijable |
Mean |
Std. Deviation |
%cV |
Minimum |
Maximum |
|
TBW |
39.07 |
9.665 |
24.737 |
24 |
58 |
|
Protein |
10.53 |
2.634 |
25.030 |
7 |
16 |
|
Minerals |
3.71 |
0.814 |
21.965 |
2 |
5 |
|
BFM |
25.31 |
8.991 |
35.532 |
15 |
49 |
|
V) ш |
WT |
78.63 |
18.716 |
23.804 |
50 |
128 |
SMM |
29.76 |
7.965 |
26.769 |
18 |
46 |
|
BMI |
27.29 |
4.992 |
18.292 |
21 |
41 |
|
PBF |
32.07 |
7.008 |
21.853 |
18 |
47 |
|
InBS |
69.00 |
6.657 |
9.648 |
54 |
89 |
|
WHR |
0.92 |
0.049 |
5.320 |
0.83 |
1.01 |
|
VFL |
11.25 |
4.459 |
39.634 |
6 |
20 |
|
TBW |
38.92 |
9.607 |
24.687 |
25 |
59 |
|
Protein |
10.57 |
2.703 |
25.575 |
7 |
16 |
|
Minerals |
3.72 |
0.821 |
22.061 |
2 |
5 |
|
BFM |
25.38 |
9.310 |
36.688 |
14 |
49 |
|
У) ш ш Di |
WT |
78.75 |
18.396 |
23.362 |
54 |
129 |
SMM |
29.93 |
7.976 |
26.652 |
18 |
47 |
|
BMI |
27.27 |
4.939 |
18.111 |
21 |
41 |
|
PBF |
31.97 |
7.670 |
23.995 |
17 |
47 |
|
InBS |
68.95 |
7.207 |
10.453 |
54 |
91 |
|
WHR |
0.92 |
0.046 |
4.933 |
1 |
1 |
|
VFL |
11.30 |
4.555 |
40.309 |
6 |
20 |
TBW – Total Body Water ; Protein ; Minerals ; BFM – Body Fat Mass ; WT – Weight ; ; SMM – Skeletal Muscle Mass ; BMI – Body Mass Index ; PBF – Percent Body Fat ; InBS – InBody Score ; WHR – Waist-Hio Ratio ; VFL – Visceral Fat Level
Table 2 shows statistical data on the body composition of middle-aged people.
Table 2. Statistical indicator of the overall result of the body composition T-test.
Paired Differences |
||||||||||
Mean |
Std. Devia tion |
Std. Error Mean |
95% Confidence Interval of the Difference |
df |
Sig. (2tailed) |
|||||
Lower |
Upper |
t |
||||||||
T_ |
TBW - R |
_TBW |
0.155 |
1.103 |
0.247 |
-0.361 |
0.671 |
0.629 |
19 |
0.537 |
T_ |
Protein - |
R_Protein |
-0.045 |
0.300 |
0.067 |
-0.185 |
0.095 |
-0.671 |
19 |
0.510 |
T_ |
Minerals- |
R_Minerals |
-0.013 |
0.090 |
0.020 |
-0.055 |
0.029 |
-0.643 |
19 |
0.528 |
T_ |
BFM - R |
BFM |
-0.070 |
1.532 |
0.343 |
-0.787 |
0.647 |
-0.204 |
19 |
0.840 |
T_ |
WT - R_WT |
-0.120 |
1.706 |
0.382 |
-0.919 |
0.679 |
-0.315 |
19 |
0.757 |
|
T_ |
SMM - R |
_SMM |
-0.170 |
0.753 |
0.168 |
-0.523 |
0.183 |
-1.009 |
19 |
0.326 |
T_ |
BMI - R_ |
BMI |
0.020 |
0.749 |
0.167 |
-0.330 |
0.370 |
0.119 |
19 |
0.906 |
T_ |
PBF - R_ |
PBF |
0.105 |
1.992 |
0.445 |
-0.827 |
1.037 |
0.236 |
19 |
0.816 |
T_ |
InBS - R |
_InBS |
0.050 |
2.282 |
0.510 |
-1.018 |
1.118 |
0.098 |
19 |
0.923 |
T_ |
WHR - R |
_WHR |
-0.007 |
0.036 |
0.008 |
-0.024 |
0.010 |
-0.877 |
19 |
0.392 |
T_ |
VFL - R_ |
VFL |
-0.050 |
0.945 |
0.211 |
-0.492 |
0.392 |
-0.237 |
19 |
0.815 |
T_TBW – R_TBW – Test-Retest Total Body Water ; Т_Protein R_Protein – Test-Retest The amount of protein in the body; T_Minerals- R_Minerals – Test-Retest The amount of minerals in the body; T_BFM - R_BFM – Test-Retest Body Fat Mass ; T_WT - R_WT – Test-Retest Weight ; T_SMM – R_SMM – Test-Retest Skeletal Muscle Mass ; T _ BMI – R_BMI – Test-Retest Body Mass Index ; T_PBF – R_PBF – Test-Retest Percent Body Fat ; T _ InBS – R_InBS – Test-Retest InBody Score ; Т_WHR – R_WHR – Test-Retest Waist-Hio Ratio ; T_VFL – R_VFL – Test-Retest Visceral Fat Level
In the table of the 1st and 2nd test and retest of human body composition, the subjects did not show any specific changes in body composition. The research was not moderated in the direction of postural status, but in the direction of physical and mental status. Body composition as a measuring instrument is an integral part of testing, so it is included in the basic measuring instruments.
In order for the research to gain importance, it is necessary to focus the work on proper nutrition, changing basic life habits, as well as programming a different training program, which in its composition will have the effect of maintaining and progressive training of the cardio-vascular exercise system.
Tables 3 and 4 show the descriptive indicators of the variables and the statistical data of the test and retest in fms testing of middle-aged people.
Table 3. Descriptive indicator of the variables of the overall result in FMS testing.
Varijable |
Mean |
Std. Deviation |
%cV |
Minimum |
Maximum |
|
TEST |
TScore |
13.30 |
1.720 |
12.931 |
11 |
16 |
RETESТ |
TScore |
16.90 |
2.049 |
12.127 |
12 |
20 |
Tscore – Total fms test result;
Table 4. Statistical indicator of results in FMS testing .
Paired Differences
95% Confidence
Interval of the
Std. Std. Error Difference Sig. (2-
Mean Deviation Mean Lower Upper t df tailed)
T_TScore - R_TScore -3.600 1.789 0.400 -4.437 -2.763 -9.000 19 0.000
T_TScore – R_TScore – Test-Retest results.
Tables 3 and 4 show the processed results of the FMS test obtained in the conducted tests. Based on the obtained and analyzed results, it can be noted the existence of statistical significance in the tested TScore Test - Retest variables (results are in bold).
In Michael Shavchin's research (Sawczyn, 2020), the effect of strength training on the results of the FMS test in students with a higher risk of injury was investigated. The study showed a positive effect of strength training on the improvement of the total FMS score in students with a score below 14. The experimental group that participated in the functional strength training program significantly changed the total FMS scores after 12 weeks (p < 0.05). There were also significant differences in the total FMS score between the groups after the experiment (p < 0.05). Comparing the work with this research, we can establish the following results. The results obtained after the test and retest, their processing showed a statistically significant influence of the results T_TScore – R_Tscore (p < 0,000) on FMS performance. The overall result of the descriptive indicator Test TScore shows that the minimum score on the test was (min 11), and the maximum score on the test was (max 16). The total result Retest TScore shows that the minimum score on the retest was (min 12), and the maximum score on the retest was (max 20). With T_TScore - R_Tscore, the existence of statistical significance is noted in the statistical displays, where the total result of the FMS test - retest shows that there were statistically significant results (p < 0.000). What can be noticed is that there is a significant difference between the test and the retest, which indicates that the subjects had significant changes after completing the six-week program and significantly improved their general physical fitness.
Comparing with this research, the subjects had significant retest results, but we cannot guarantee and say that they are less susceptible to injuries, almost like this is the difference between athletes and generals.
Table 5 shows the descriptive indicators of the test and retest variables of the middle-aged persons questionnaire.
Table 5. Descriptive indicator of test and retest variables of the survey questionnaire.
Descriptive Statistics
Varijable |
Mean |
Std. Deviation |
%cV |
Minimum |
Maximum |
|
T_P1 |
3.00 |
0.725 |
24.183 |
1 |
4 |
|
T_P2 |
2.20 |
1.005 |
45.693 |
1 |
4 |
|
T_P3 |
2.45 |
1.234 |
50.383 |
1 |
5 |
|
T_P4 |
3.05 |
0.686 |
22.503 |
2 |
5 |
|
T_P5a |
1.60 |
0.681 |
42.535 |
1 |
3 |
|
T_P5b |
2.45 |
0.510 |
20.833 |
2 |
3 |
|
V) ш |
T_P5c |
2.70 |
0.571 |
21.157 |
1 |
3 |
T_P5d |
2.60 |
0.503 |
19.332 |
2 |
3 |
|
T_P5e |
2.00 |
0.459 |
22.942 |
1 |
3 |
|
T_P5f |
2.95 |
0.224 |
7.580 |
2 |
3 |
|
T_P6 |
2.55 |
0.759 |
29.771 |
1 |
4 |
|
T_P7 |
2.20 |
1.056 |
48.014 |
1 |
5 |
|
T_P8 |
2.90 |
0.968 |
33.376 |
1 |
5 |
|
T_P9 |
1.85 |
0.875 |
47.302 |
1 |
4 |
|
T_P10 |
2.65 |
1.348 |
50.886 |
1 |
5 |
|
R_P1 |
2.40 |
0.754 |
31.414 |
1 |
3 |
|
R_P2 |
1.50 |
0.761 |
50.726 |
1 |
3 |
|
R_P3 |
1.50 |
0.607 |
40.465 |
1 |
3 |
|
R_P4 |
1.65 |
0.671 |
40.656 |
1 |
3 |
|
R_P5a |
2.10 |
0.718 |
34.199 |
1 |
3 |
|
У) ш ш Di |
R_P5b |
2.75 |
0.444 |
16.155 |
2 |
3 |
R_P5c |
2.85 |
0.366 |
12.854 |
2 |
3 |
|
R_P5d |
2.85 |
0.366 |
12.854 |
2 |
3 |
|
R_P5e |
2.35 |
0.489 |
20.824 |
2 |
3 |
|
R_P5f |
2.95 |
0.224 |
7.580 |
2 |
3 |
|
R_P6 |
1.70 |
0.801 |
47.136 |
1 |
3 |
|
R_P7 |
1.50 |
1.000 |
66.667 |
1 |
5 |
|
R_P8 |
1.95 |
0.887 |
45.489 |
1 |
4 |
|
R_P9 |
1.30 |
0.657 |
50.534 |
1 |
3 |
|
R_P10 |
3.55 |
1.276 |
35.952 |
2 |
5 |
The questions are listed in the variables on pages 4.
Table 6 shows the statistical indicators of test and retest variables of the survey questionnaire among middle-aged people.
Table 6. Statistical significance of the questionnaire variable in percentages.
percentage % percentage %
Questi on |
1 |
2 |
3 |
4 |
5 |
Questi on |
1 |
2 |
3 |
4 |
5 |
|
T |
P1 |
5.0 |
10.0 |
65.0 |
20.0 |
0.0 |
R_P1 |
15.0 |
30.0 |
55.0 |
0.0 |
0.0 |
T |
P2 |
25.0 |
45.0 |
15.0 |
15.0 |
0.0 |
R_P2 |
65.0 |
20.0 |
15.0 |
0.0 |
0.0 |
T |
P3 |
25.0 |
35.0 |
15.0 |
20.0 |
5.0 |
R_P3 |
55.0 |
40.0 |
5.0 |
0.0 |
0.0 |
T |
P4 |
0.0 |
15.0 |
70.0 |
10.0 |
5.0 |
R_P4 |
45.0 |
45.0 |
10.0 |
0.0 |
0.0 |
T |
P5a |
50.0 |
50.0 |
10.0 |
R_P5a |
20.0 |
50.0 |
30.0 |
||||
T |
P5b |
0.0 |
55.0 |
45.0 |
R_P5b |
0.0 |
25.0 |
75.0 |
||||
T |
P5c |
5.0 |
20.0 |
75.0 |
R_P5c |
0.0 |
15.0 |
85.0 |
||||
T |
P5d |
0.0 |
40.0 |
60.0 |
R_P5d |
0.0 |
15.0 |
85.0 |
||||
T |
P5e |
10.0 |
80.0 |
10.0 |
R_P5e |
0.0 |
65.0 |
35.0 |
||||
T |
P5f |
0.0 |
5.0 |
95.0 |
R_P5f |
0.0 |
5.0 |
95.0 |
||||
T |
P6 |
10.0 |
30.0 |
55.0 |
5.0 |
0.0 |
R_P6 |
50.0 |
30.0 |
20.0 |
0.0 |
0.0 |
T |
P7 |
30.0 |
30.0 |
35.0 |
0.0 |
5.0 |
R_P7 |
70.0 |
20.0 |
5.0 |
0.0 |
5.0 |
T |
P8 |
5.0 |
30.0 |
40.0 |
20.0 |
5.0 |
R_P8 |
35.0 |
40.0 |
20.0 |
5.0 |
0.0 |
T |
P9 |
40.0 |
40.0 |
15.0 |
0.0 |
5.0 |
R_P9 |
80.0 |
10.0 |
10.0 |
0.0 |
0.0 |
T |
P10 |
25.0 |
25.0 |
20.0 |
20.0 |
10.0 |
R_P10 |
0.0 |
35.0 |
5.0 |
30.0 |
30.0 |
T_P1 – Т (Test) P (Question) 1 (Ordinal number of questions); R_P1 – R (Retest) P (Question) 1 (Ordinal number of questions).
Table 7. Statistical indicator of the results of the T-test of the survey questionnaire.
Sig. (2-
Paired Differences t df tailed)
Std. |
Std. Error |
95% Confidence Interval of the Difference |
|
Mean |
Deviation |
Mean |
Lower Upper |
T_P1 - R_P1 |
0.600 |
0.754 |
0.169 |
0.247 |
0.953 |
3.559 |
19 |
0.002 |
T_P2 - R_P2 |
0.700 |
1.031 |
0.231 |
0.217 |
1.183 |
3.036 |
19 |
0.007 |
T_P3 - R_P3 |
0.950 |
1.234 |
0.276 |
0.372 |
1.528 |
3.442 |
19 |
0.003 |
T_P4 - R_P4 |
1.400 |
0.940 |
0.210 |
0.960 |
1.840 |
6.658 |
19 |
0.000 |
T_P5a - R_P5a |
-0.500 |
0.688 |
0.154 |
-0.822 |
-0.178 |
-3.249 |
19 |
0.004 |
T_P5b - R_P5b |
-0.300 |
0.571 |
0.128 |
-0.567 |
-0.033 |
-2.349 |
19 |
0.030 |
T_P5c - R_P5c |
-0.150 |
0.366 |
0.082 |
-0.321 |
0.021 |
-1.831 |
19 |
0.083 |
T_P5d - R_P5d |
-0.250 |
0.444 |
0.099 |
-0.458 |
-0.042 |
-2.517 |
19 |
0.021 |
T_P5e - R_P5e |
-0.350 |
0.587 |
0.131 |
-0.625 |
-0.075 |
-2.666 |
19 |
0.015 |
T_P6 - R_P6 |
0.850 |
0.813 |
0.182 |
0.470 |
1.230 |
4.677 |
19 |
0.000 |
T_P7 - R_P7 |
0.700 |
0.979 |
0.219 |
0.242 |
1.158 |
3.199 |
19 |
0.005 |
T_P8 - R_P8 |
0.950 |
1.191 |
0.266 |
0.393 |
1.507 |
3.567 |
19 |
0.002 |
T_P9 - R_P9 |
0.550 |
0.686 |
0.153 |
0.229 |
0.871 |
3.584 |
19 |
0.002 |
T_P10 - R_P10 |
-0.900 |
1.683 |
0.376 |
-1.688 |
-0.112 |
-2.392 |
19 |
0.027 |
T_P1 – Т (Test) P (Question) 1 (Ordinal number of questions); R_P1 – R (Retest) P (Question) 1 (Ordinal number of questions).
Table 6 shows the results of the test and retest of the survey questionnaire in percentages. After processing the data, a significant statistical change was shown in the respondents, which indicates a positive effect of the program on their mental satisfaction. The reliability of the obtained results shows a significant statistical impact on the mental health of middle-aged people.
Table 7 shows the significant statistical changes of the respondents in their mental satisfaction of the test - retest.
Т_P1 – R_P1 How would you rate your overall general health? has significant statistical changes (p= 0.002), which indicates that their general health has improved and that the number of respondents who had poor health has completely decreased, and the number of those who felt very good and excellent has increased .
Т_P2 – R_P2 How would you rate the performance of the FMS test? has a significant statistical change (p= 0.007), which indicates that the number of respondents who showed satisfaction with the performance of the FMS increased, while the number of those who were dissatisfied decreased completely. The program of activities contributed to improving the technical correctness of the FMS performance.
Т_P3 – R_P3 How would you rate the performance of the overhead squat? has a significant statistical change (p= 0.003), which indicates that the number of respondents who showed satisfaction with squatting has increased, while the number of dissatisfied and somewhat dissatisfied has completely decreased. The activity program contributed to improving abilities, eliminating compensatory movements, which resulted in a technically correct deep squat, where the subjects themselves noticed the difference and showed a high degree of satisfaction with it.
Т_P4 – R_P4 How would you rate your health in the last four weeks? has a significant statistical change (p= 0.000), which indicates that the number of respondents who feel much better has increased than before the start of the program, but we also see that the percentage of respondents who felt worse has completely disappeared. The program contributed to a 100% change in both physical and mental status, which indicated a high degree of satisfaction among the respondents.
Т_P5– R_P5 Does your current physical condition limit your activities? has a significant statistical change T_P5a– R_P5a Running, lifting heavy objects, participation in intensive sports activities (p= 0.004), T_P5b– R_P5b Moderate activities, riding bicycles, working in the house, garden, etc. (p= 0.030), T_P5c – R_P5c Lifting and carrying bags from the supermarket (p= 0.083), T_P5d– R_P5d
Walking, fast walking, climbing stairs (p= 0.021), T_P5e – R_P5e Bending, kneeling, stooping (p= 0.015), which indicates that the number of respondents who feel much better than before the start of the program has increased and that the activities that caused difficulties have completely disappeared. There is no significant statistical difference in the question T_P5c - R_P5c - (p= 0.083), which indicates that carrying bags did not pose a problem, because as the author of this research, I believe that carrying bags does not represent a problem in the motor sense compared to other activities that are quite more motorically demanding and include in their activity more complex movements and greater muscle activation.
Т_P6 – R_P6 Does your current physical condition limit your time during activities? has a significant statistical change (p= 0.000), which indicates that their physical status does not limit their time during the activity compared to the time limited before the program itself. This can also affect mental satisfaction in a positive way. If the respondent does not feel well physically and has certain limitations, it will negatively affect his mental satisfaction as well as the result of the program itself.
Т_P7 – R_P7 Have you experienced physical pain in the past 4 weeks? has a significant statistical change (p= 0.005), which indicates that the pain, which was moderate, almost completely disappeared, which indicates a positive result of the program. Anyone who experiences some kind of physical pain is bound to have negative effects on their mental state. With these results, we can say that pain reduction also has a positive effect on the mental state of a middle-aged person.
Т_P9 – R_P9 How much have your social activities been disrupted in the last 4 weeks, due to your health condition and emotional problem? (Such as visiting friends, relatives, etc.) has a significant statistical change (p= 0.002), which indicates that the program showed positive results and thus improved the social status, where the respondents no longer had difficulties with social activities.
Т_P10 – R_P10 Has physical activity changed your physical and emotional state in the last 4 weeks? (Only if you were active) has a significant statistical change (p= 0.027), and that since the beginning of the program it has had positive effects on the physical and mental health of middle-aged people. The respondents showed significant changes in physical status, which also accompanies mental satisfaction.
We can connect this research with the satisfaction questionnaire, it was shown that a moderate exercise program still has a positive result and positive statistical changes on the mental health of middle-aged people. Also, a positive result at T_P3 – R_P3 How would you rate the performance of the overhead squat? related to squatting above the head, it is from these studies that we can conclude that it has an impact on cognitive functions. Only knowledge, improvement of certain functions and movements, elaboration of information, improved the movement itself through the program, which is why the statistics showed a positive result.
Conclusion
Physical exercise certainly plays one of the important roles in our life. Timely learning, acquiring habits, will inevitably have a positive result on our physical and mental health. Acquiring good habits, knowledge about proper nutrition, the benefits of physical exercise, even at a younger age, will contribute to making aging easier, i.e. let's slow down aging, be more satisfied both mentally and physically, and thus we will have a better quality of life.
Unfortunately, the modern way of life has reduced the importance of exercise, it has contributed to the fact that a person moves little or minimally, that he spends a large part of his time next to the television, computer, video games and various other things that hinder a person from being physically active. This has led to the fact that we are increasingly obese, that our postural status is disturbed and worsened and that we are emotionally dissatisfied with ourselves, which can later lead to a number of other problems and diseases.
This research showed that it is desirable to use FMS testing in program planning for the general population. It would also be desirable to conduct a survey on a larger number of respondents and apply a standardized satisfaction test in order to have more reference research results.
Conflicts of inerests
The authors declare no conflict of interest
Author Contributions
Список литературы Effects of phyisical exercise on ability measured by FMS tests and mental health of middle-aged persons
- Fernandez, M. T., Sanchez, M. G., & Vargas, A. I. (2019). Is a low Functional Movement Screen score (<14/21) associated with injuries in sports? A systematic review and meta-analysis. BMJ Open sport & Exercise Medicine, 1-10.
- Functional Movement Screen. (n.d.). Преузето са www.acsm.org: https://www.acsm.org/docs/default-source/regional-chapter-individualfolders/northland/nacsm--wes-e--fms9a9b0c1f5032400f990d8b57689b0158.pdf?sfvrsn=3668bbe0_0
- Ђурђевић, Д. (2021). Анализа телесног састава: Најчешћи модели и методе испитивања. СПОРТ - Наука и пракса, 35-42.
- Matić, M. (1998). Opšta teorija fizićke kulture. Beograd: Viša škola za sportske trenere.
- Маврић, Ф., Кахровић, И., Мурић, Б., & Раденковић, О. (2014). Ефекти редовне физичке активности на организам човека. Физичка Култура, 29-38.
- Nelson, M., Specian, V. L., Tracy, N. C., & DeMello, J. J. (2006). The Effects ofModerate Physical Activityon Offenders in a Rehabilitative Program. TTie Journal of Correctional Education, 276-285.
- Nicolozakes, C. P., Schneider, D. K., Roewer, B. D., Borchers, J. R., & Hewett, T. E. (2017). Influence of Body Composition on Functional Movement Screen™ Scores in College Football Players. Journal of Sport Rehabilitation, 1-7.
- Sawczyn, M. (2020). Effects of a periodized functional strength training program (FST) on Functional Movement Screen (FMS) in physical education students. University of Physical Education and Sport in Gdansk, Poland, 162-167.
- Shultz, R., Anderson, S. C., Matheson, G. O., Marcello, B., & Besier, T. (2013). Test-Retest and interrater Reliability of the Functional Movement Screen. Journal of Athletic Training, 331-336.
- Попов , С., & Јаковљев, И. (2017). UTICAJ FIZIČKOG VEŽBANJA NA UNAPREĐENJE КOGNITIVNIH FUNKCIJA. Fakultet za sport i turizam, Novi Sad, TIMS Acta 11, 111- 120.