<?xml version="1.0" encoding="UTF-8"?>
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<title>Human Kinetics</title>
<link href="http://hdl.handle.net/123456789/2048" rel="alternate"/>
<subtitle/>
<id>http://hdl.handle.net/123456789/2048</id>
<updated>2026-04-03T18:19:18Z</updated>
<dc:date>2026-04-03T18:19:18Z</dc:date>
<entry>
<title>VALIDATION OF SELECTED ANTHROPOMETRIC REGRESSION EQUATIONS FOR BODY COMPOSITION ASSESSMENT OF MALE UNIVERSITY ATHLETES IN SOUTH WESTERN NIGERIA</title>
<link href="http://hdl.handle.net/123456789/2058" rel="alternate"/>
<author>
<name>ADESIPO, Tunde Adeyinka</name>
</author>
<id>http://hdl.handle.net/123456789/2058</id>
<updated>2024-04-25T14:02:47Z</updated>
<published>2023-06-01T00:00:00Z</published>
<summary type="text">VALIDATION OF SELECTED ANTHROPOMETRIC REGRESSION EQUATIONS FOR BODY COMPOSITION ASSESSMENT OF MALE UNIVERSITY ATHLETES IN SOUTH WESTERN NIGERIA
ADESIPO, Tunde Adeyinka
Body composition assessment of athletes is acknowledged as basic physiological&#13;
determinant of athletic health and performance. Assessment of body composition of male&#13;
Nigerian University athletes, using foreign-derived anthropometric regression equations&#13;
usually brings with it the issue of precision, accuracy and validity. Previous studies largely&#13;
focused on developing and validating commonly used equations among foreign athletes,&#13;
but little research efforts have been directed towards validating these equations on&#13;
Nigerian athletes using the Underwater Weighing (UWW) criterion. This study, therefore,&#13;
was carried out to validate the selected anthropometric equations.&#13;
The study was anchored to the Theory of Human Body Composition Assessment, while&#13;
the ex-post facto design was employed. The equations validated were Brozek and Keys&#13;
(BK) 1951, Sloan and Weir (SW) 1970, Sinning (SI) 1974, Forysth and Sinning (FS)&#13;
1975, and Jackson and Pollock (JP) 1979 in order to confirm or refute their respective&#13;
validity on body composition assessment of male university athletes in Southwestern&#13;
Nigeria. The multistage sampling procedure was used. Three first generation federal&#13;
universities in Ibadan, Lagos and Ile Ife) were enumerated, using the intact group of&#13;
endurance athletes (45), power athletes (45) and control group (45) in each University. The&#13;
instruments used were UnderWater Weighing equipment, spirometer, health-o-meter scale&#13;
and skinfold calipher. Underwater measurements were taken following Barton and&#13;
Cameroon (2009) procedure, while skinfold measurement of abdominal, chest, triceps,&#13;
subscapular, suprailiac, and thigh were taken following ISAK (2011) protocol. Data were&#13;
analysed using descriptive statistics, Pearson product moment correlation, t-test, and&#13;
multiple regression at 0.05 alpha level.&#13;
Participants’ age was 24.06±2.25 years. There was no significant difference in physical&#13;
characteristics of height, body weight and body density of endurance athletes, power&#13;
athletes and control group, but they significantly differed in percent fat and lean body&#13;
weight. There was moderate, positive, relationship between Body Density (BD) of UWW&#13;
and BD of BK, SW, SI, FS, but JP(r=0.77) was strongly significantly related. There was&#13;
positive, relationship between %bf of UWW and %bf of BK(r=0.27), SW(r=0.26),vi&#13;
SI(r=0.18), FS(r=0.38) except JP(r=0.72). There was significant difference between BD&#13;
determined by UWW and BD of BK(t=-12.33), SW(t=-16.21), SI(t=-11.58), FS(t=-7.75)&#13;
and JP(t=-2.92). There was also a significant difference between %bf of UWW and %bf of&#13;
BK(t=10.22), SW(t=14.95), SI(t=11.66), FS(t=6.34) and JP(t=8.00). Plotted against&#13;
validation criteria of Multiple Correlation Co-efficient (R), Constant Error (CE), Total&#13;
Error (TE), Standard Error of Estimate (SEE), the values obtained were BK(R2=.103,&#13;
CE=-0.02, TE=0.002, SEE=0.004), SW(R2=.103, CE=0.02, TE=.003, SEE=.006),&#13;
SI(R2=.138, CE=-0.02, TE=0.002, SEE=0.01), FS(R2=.209, CE=0.01, TE=0.002,&#13;
SEE=0.006), JP(R2 =.208, CE=-0.02, TE=0.002, SEE=0.002). All the examined equations&#13;
failed the validity test. As a credible alternative this equation was formulated:&#13;
BD=1.064+0.00392 (X1)+0.669 (X2)+0.07761 (X3).&#13;
The anthropometric regression equations of Brozek and Keys, Sloan and Weir, Sinning,&#13;
Forsyth and Sinning (1975), and Jackson and Pollock, have relationship with, but are&#13;
significantly different from underwater weighing. All the equations overestimated Body&#13;
Density and underestimated percent body fat in male University athletes in Southwestern&#13;
Nigeria. The validated prediction equations should be used with relative caution, while the&#13;
equation formulated needs to be adopted by Nigerian male athletes.
</summary>
<dc:date>2023-06-01T00:00:00Z</dc:date>
</entry>
<entry>
<title>EFFECTS OF AEROBIC DANCE AND PEDOMETER-BASED WALK ON CARDIOVASCULAR PARAMETERS, BODY COMPOSITION AND FUNCTIONAL ABILITY OF BAPTIST ELDERLY WOMEN IN THE IBADAN METROPOLIS</title>
<link href="http://hdl.handle.net/123456789/2056" rel="alternate"/>
<author>
<name>DUYILEMI, Atolani Shakirat</name>
</author>
<id>http://hdl.handle.net/123456789/2056</id>
<updated>2024-04-25T13:58:55Z</updated>
<published>2023-06-01T00:00:00Z</published>
<summary type="text">EFFECTS OF AEROBIC DANCE AND PEDOMETER-BASED WALK ON CARDIOVASCULAR PARAMETERS, BODY COMPOSITION AND FUNCTIONAL ABILITY OF BAPTIST ELDERLY WOMEN IN THE IBADAN METROPOLIS
DUYILEMI, Atolani Shakirat
Health-promoting activities are undertaken by some orthodox churches in the Ibadan&#13;
metropolis, including the Baptist Church, which has a Department dedicated to the&#13;
healthcare of its members, particularly the elderly. Research has shown that elderly&#13;
people experience physiological decline in terms of cardiovascular parameters, body&#13;
composition, and functional ability, making exercise crucial to mitigating the burden&#13;
of age-related illness. Previous studies focused largely on conventional exercise, with&#13;
little attention paid to Aerobic Dance (AD) and Pedometer-based Walk (PBW). This&#13;
study, therefore, determined the effects of AD and PBW on the Cardiovascular&#13;
Parameters –CP [Systolic Blood Pressure (SBP), Diastolic Blood Pressure (DBP) and&#13;
Mean Arterial Blood Pressure (MABP), Body Composition –BC [Fat Mass (FM), FatFree Mass (FFM), Body Mass Index (BMI)] and Functional Ability –FA [Chair SitReach (CSR), Arm Curl (AC) and Chair Sit and Stand (CSS)] of Baptist elderly&#13;
women in the Ibadan metropolis. The moderating effect of of elderliness was also&#13;
examined.&#13;
The study was anchored to the Programmed Theory of Ageing, while pretest-posttest&#13;
control group quasi-experimental design with a 3x2 factorial matrix was adopted. The&#13;
simple random sampling technique was used to select three out of the 25 associations&#13;
in Ibadan Baptist Conference. Simple random sampling was adopted to select a church&#13;
from each of the selected associations. Seventy elderly women of age 55 years and&#13;
above were purposively selected from the sampled churches. Treatment lasted for 12&#13;
weeks. Data were analysed using multivariate analysis of covariance at 0.05 level of&#13;
significance.&#13;
The participants’ age was 61.33±5.88 years. Treatment had a significant main effect on&#13;
cardiovascular parameters. On MABP (F(2; 64) = 5.36, η2 =.16), the participants exposed&#13;
to PBW had the lowest mean score (88.268); on SBP (F(2; 64) = 7.22, η2=.20), the&#13;
participants exposed to PBW had the lowest mean score (122.41); and on DBP (F(2; 64)&#13;
= 3.59, η2=.11), the participants exposed to PBW had the lowest mean (71.54). The&#13;
treatment was significant on two of the body composition parameters - FM (F(2; 64) =&#13;
19.77, η2=.41). The participants exposed to AD had the lowest mean score (28.85) and&#13;
BMI (F(2; 64) = 23.06, η2=.45). The participants exposed to AD had the lowest mean&#13;
score (26.71). The treatment was also significant on functional ability parameters. On&#13;
CSR (F(2; 64) =16.98, η2=.37), the participants exposed to AD had the highest mean&#13;
score (4.85); on CSS (F(2; 64) = 43.79, η2=.602), the participants exposed to AD had the&#13;
highest mean score (20.72); and on AC (F(2; 64) = 25.30, η2=.47), the participants&#13;
exposed to AD had the highest mean score (29.04). Stage of elderliness had a&#13;
significant main effect only on AC (F(1; 65) = 3.97, η2=.06). The two-way interaction&#13;
effects of treatment and stage of elderliness were not significant.&#13;
Aerobic dance and pedometer-based walk improved the cardiovascular parameters,&#13;
body composition, and functional ability among the Baptist elderly women in the&#13;
Ibadan metropolis. Therefore, aerobic dance and pedometer-based walk should be&#13;
adopted to mitigate the burden of age-related illness of Baptist elderly women.
</summary>
<dc:date>2023-06-01T00:00:00Z</dc:date>
</entry>
<entry>
<title>MARKETING MIX, MEDIA AND ECONO-GOVERNMENTAL INDICES AS PREDICTORS OF THE NIGERIA SPORTS BRAND</title>
<link href="http://hdl.handle.net/123456789/2054" rel="alternate"/>
<author>
<name>IFETA, Olatunde Nosakhare</name>
</author>
<id>http://hdl.handle.net/123456789/2054</id>
<updated>2024-04-25T13:55:13Z</updated>
<published>2023-08-01T00:00:00Z</published>
<summary type="text">MARKETING MIX, MEDIA AND ECONO-GOVERNMENTAL INDICES AS PREDICTORS OF THE NIGERIA SPORTS BRAND
IFETA, Olatunde Nosakhare
The Nigeria Sports Brand (NSB) is a construct that expresses Nigeria’s ultimate intentions&#13;
towards sports development, as reflected in the National Sports Policy (2009) and the Sports&#13;
Industry Policy (2020). However, the NSB still performs far below expectations in relation to&#13;
sports branding predictive indices (Marketing Mix Indices – MMI, Media Indices – MI,&#13;
Economic Indices – EI and Governmental Indices – GI). Previous studies focused largely on&#13;
sports development in Nigeria, with little consideration for these predictive indices. This study,&#13;
therefore, was designed to investigate MMI (production, price, promotion and place of sports),&#13;
MI (sports new media, sports print, sports radio and sports television), EI (Sports Gross&#13;
Domestic Product [SGDP], Sports Production and Consumption [SPC], Sports Manufacturing&#13;
and Trade [SMT] and real income) and GI (government proprietorship, government policy,&#13;
government issues and public-private partnership) as predictors of the NSB.&#13;
The study was anchored to the Ripple Effect and Maslow’s Human Motivation theories, while&#13;
the mixed methods design (QUAN+qual) was adopted. Four accessible geopolitical zones were&#13;
purposively selected, and four states were randomly selected in each zone. One hundred and&#13;
ninety-six sports policy makers and officials, 48 sports federation officers across the zones&#13;
were selected using stratified random sampling technique, while 528 athletes, 240 sports&#13;
enthusiasts and 48 sports media personnel were selected through convenience sampling. The&#13;
purposive sampling technique was adopted for the selection of 240 coaches. Key informant&#13;
interviews were conducted with zonal sports coordinators. The instruments used were&#13;
Production of Sports (r=0.71), Place of sports (0.71), Promotion of sports (r=0.72), Real&#13;
income (r=0.72), SPC (r=0.72), Price of sports (r=0.73), SGDP (r=0.73), Sports print (r=0.74),&#13;
SMT (r=0.74), Sports radio (r=0.75), Sports new media (r=0.76), Sports television (r=0.77),&#13;
Nigeria Sports Brand (r=0.77), Government policy (r=0.79), Government issues (r=0.80),&#13;
Government proprietorship (r=0.81) and Public-private partnership (r=0.81). The quantitative&#13;
data were analysed using Pearson product moment correlation and multiple regression at 0.05&#13;
level of significance, while the qualitative data were thematically analysed.&#13;
Participants were mostly male (64.4%), aged 28.65±5.39 years. Sports television (r=0.05), SPC&#13;
(r=0.05), government proprietorship (r=0.06), sports radio (r=0.08), sports new media&#13;
(r=0.09), sports print (r=0.13), Place of sports (r=0.15), government policy (r=0.26), SMT&#13;
(r=0.30) and public-private partnership (r=0.60) positively correlated with NSB. There was a&#13;
significant joint contribution of the predictors on NSB (F(4;1291)=57.27; Adj. R2=0.15),&#13;
accounting for 15.0% of its variance. Sports new media (ß=0.15), government issues (ß=-0.15),&#13;
sports print (ß=0.16), government policy (ß=-0.16), place of sports (ß=0.18), production and&#13;
consumption (ß=-0.22), sports television (ß=-0.25), manufacturing and trade (ß=0.45) and&#13;
public-private partnership (ß=-0.60) contributed significantly to NSB. Sports coordinators&#13;
indicated that, whereas policy content was consistent, NSB was mainly impeded by poor&#13;
implementation, insufficient funding, domineering role of government, poor sports pricing,&#13;
poor media, ineffective marketing, and insufficient and substandard sports production.&#13;
Place of sports, sports media, sports production and consumption, sports manufacturing and&#13;
trade, governmental proprietorship, quality government involvement and public-private&#13;
partnership positively influenced the Nigeria Sports Brand. If these are prioritised in policy&#13;
implementation, the NSB will compete effectively globally.
</summary>
<dc:date>2023-08-01T00:00:00Z</dc:date>
</entry>
<entry>
<title>ORGANISATIONAL AND SOCIO-ECONOMIC FACTORS AS PREDICTORS OF RECREATIONAL SPORTS PARTICIPATIՕN AMՕNG THE STAFF ՕF FEDERAL COLLEGES OF EDUCATION IN SՕUTHWESTERN NIGERIA</title>
<link href="http://hdl.handle.net/123456789/2052" rel="alternate"/>
<author>
<name>BALOGUN, Moruff Adebayo</name>
</author>
<id>http://hdl.handle.net/123456789/2052</id>
<updated>2024-04-25T13:45:18Z</updated>
<published>2023-08-01T00:00:00Z</published>
<summary type="text">ORGANISATIONAL AND SOCIO-ECONOMIC FACTORS AS PREDICTORS OF RECREATIONAL SPORTS PARTICIPATIՕN AMՕNG THE STAFF ՕF FEDERAL COLLEGES OF EDUCATION IN SՕUTHWESTERN NIGERIA
BALOGUN, Moruff Adebayo
Recreational Sports Participation (RSP), involvement in sports during leisure, is for&#13;
enjoyment and health promotion. Reports have shown that the level of RSP among staff&#13;
of Federal Colleges of Education (FCE) in Nigeria is relatively low. Previous studies on&#13;
RSP focused more on health connection, and social benefits of recreational sports, with&#13;
little research attention done to the influence of organisational and socio-economic&#13;
factors. This study, therefore, was carried out to examine Organisational Factors – OF&#13;
(funding, facilities maintenance, and injury insurance); Sociological Factors – SF&#13;
(religion, peer group influence and occupational demand) and Economic Factors - EF&#13;
(income and opportunity cost of time) as predictors of RSP among the staff of FCE in&#13;
southwestern Nigeria.&#13;
The Participation and Incentive theories served as the framework, while the concurrent&#13;
mixed methods (correlation and qualitative approaches) were adopted. The multi-stage&#13;
sampling procedure was adopted. The four Federal Colleges of Education in&#13;
Sօuthwestern Nigeria (Adeyemi College of Education (ACE), Ondo, FCE, Abeokuta,&#13;
FCE (T) Akoka and FCE (Sp) Oyo) were enumerated. Proportionate to size sampling&#13;
technique was used to select 1,931 respondents (A.C.E, Ondo=552, FCE, Abeokuta =&#13;
428, FCE (T), Akoka= 412, FCE (Sp), Oyo=539). The instruments used were RS&#13;
Participation (r = 0.75), Level of Recreatiօn Sports Participation (r =0.82), Adequacy of&#13;
Sports Facilities (r=0.81) and Equipment (r = 0.72), Funding (r=0.72), Facility&#13;
Maintenance (r=0.71), Injury Insurance (r=0.70), Religion (r=0.74), Peer Group&#13;
Influence (r=0.78), Occupational Demand (r=0.78), Income (r=0.78) and Opportunity&#13;
Cost of Time (r=0.80) scales. Key Informant interviews were held with four chairmen&#13;
and four directors of sports. Quantitative data were analysed using descriptive statistics,&#13;
Pearson product moment correlation and Multiple regression at 0.05 level of significance,&#13;
while the qualitative data were content-analysed.&#13;
The respondents’ age was 39.0 ± 2.4 years, and 67.7% were male. Funding (r = 0.38),&#13;
facilities maintenance (r = 0.37), injury insurance (r =0.25), religion (r =0.18), peer group&#13;
influences (r =0.43), occupational demand (r = 0.42), income (r = 0.28), and opportunity&#13;
cost of time (r = 0.52), correlated positively with RSP. There was a significant joint&#13;
contribution of OF, SF, and EF (F(3,184) = 138.03, Adj R2 = 0.183) to RSP, accounting for&#13;
18.3% of its variance. Funding (β = 0.28), facilities maintenance culture (β =0.22), injury&#13;
insurance policy (β =0.06), religion (β =0.04), peer group influence (β =0.12),&#13;
occupational demand (β = 0.41), income (β = 0.13), and opportunity cost of time (β =&#13;
0.50) significantly contributed to RSP. There was a significant difference in the level of&#13;
recreational sports participation based on cadre (F(2;1838) =4.00) in favour of senior nonteaching staff ( x =20.45), Junior non-teaching staff ( x =20.21) and academic staff ( x&#13;
=20.10). The low level of recreational sports participation was attributed to inadequate&#13;
sport facilities and equipment, high occupational demand and opportunity cost of time.&#13;
Organisational and socio-economic factors influenced recreational sports participatiօn&#13;
amօng the staff օf Federal Colleges of Education in Sօuthwestern Nigeria. It could be&#13;
inferred that strengthening these factors would improve recreational sports participation&#13;
of staff.
</summary>
<dc:date>2023-08-01T00:00:00Z</dc:date>
</entry>
</feed>
