Physical Inactivity in Nigerian Young Adults: Prevalence and Socio-Demographic Correlates

2011 ◽  
Vol 8 (8) ◽  
pp. 1135-1142 ◽  
Author(s):  
Babatunde O.A. Adegoke ◽  
Adewale L. Oyeyemi
Keyword(s):  
Physical Activity ◽  
Young Adults ◽  
Physical Inactivity ◽  
Multinomial Logistic Regression ◽  
Sociodemographic Variables ◽  
Highly Active ◽  
Demographic Correlates ◽  
Sociodemographic Correlates ◽  
Nigerian University ◽  
Activity Questionnaire

Background:This study assessed the prevalence of physical inactivity and the influence of sociodemographic variables on physical activity categories, highlighting the correlates of physical inactivity in Nigerian young adults.Methods:A representative sample of young adults age 16 to 39 years (n = 1006) from a Nigerian University were categorized using the International Physical Activity Questionnaire as physically inactive, moderately active, and highly active. Prevalence rates were computed for the activity categories and the independent associations of sociodemographic correlates on each category were determined using the multinomial logistic regression.Results:Physical inactivity prevalence was 41%. More likely to be inactive were females (OR = 1.93; CI: 1.49−2.49), those of Hausa ethnicity (OR = 2.29; CI: 1.08−5.84), having BMI > 30 kg/m2 (OR = 2.88; CI: 1.16−7.17), and those whose parents’ annual income was < 180,000 NAIRA (OR = 1.69; CI: 1.04−2.95). Less likely to be moderately active were females (OR = 0.71; CI: 0.61−0.95), those with BMI between 25.0 to 29.9 kg/m2 (OR = 0.46; CI: 0.23−0.92), and those of Hausa ethnicity (OR = 0.17; CI: 0.04−0.74).Conclusion:Important sociodemographic variables that can contribute to the preliminary analysis of correlates of physical inactivity among Nigerian young adults were identified.

scholarly journals The active living gender’s gap challenge: 2013–2017 Eurobarometers physical inactivity data show constant higher prevalence in women with no progress towards global reduction goals

2019 ◽  
Vol 19 (1) ◽  
Author(s):  
X. Mayo ◽  
G. Liguori ◽  
E. Iglesias-Soler ◽  
R. J. Copeland ◽  
I. Clavel San Emeterio ◽  
...  
Keyword(s):  
Physical Activity ◽  
Physical Inactivity ◽  
International Physical Activity Questionnaire ◽  
World Health ◽  
Activity Levels ◽  
The World ◽  
Health Organization ◽  
Global Reduction ◽  
Activity Questionnaire ◽  
The Eu

Abstract Background The World Health Organization (WHO) considers physical inactivity (PIA) as a critical noncommunicable factor for disease and mortality, affecting more women than men. In 2013, the WHO set a 10% reduction of the PIA prevalence, with the goal to be reached by 2025. Changes in the 2013–2017 period of physical inactivity prevalence in the 28 European Union (EU) countries were evaluated to track the progress in achieving WHO 2025 target. Methods In 2013 and 2017 EU Special Eurobarometers, the physical activity levels reported by the International Physical Activity Questionnaire of 53,607 adults were analyzed. Data were considered as a whole sample and country-by-country. A χ2 test was used to analyze the physical inactivity prevalence (%) between countries, analyzing women and men together and separately. Additionally, PIA prevalence was analyzed between years (2013–2017) for the overall EU sample and within-country using a Z-Score for two population proportions. Results The PIA prevalence increased between 2013 and 2017 for the overall EU sample (p <  0.001), and for women (p = 0.04) and men (p < 0.001) separately. Data showed a higher PIA prevalence in women versus men during both years (p <  0.001). When separately considering changes in PIA by gender, only Belgium’s women and Luxembourg’s men showed a reduction in PIA prevalence. Increases in PIA prevalence over time were observed in women from Austria, Croatia, Germany, Lithuania, Malta, Portugal, Romania, and Slovakia and in men from Bulgaria, Croatia, Czechia, Germany, Italy, Lithuania, Portugal, Romania, Slovakia, and Spain. Conclusions PIA prevalence showed an overall increase across the EU and for both women and men between 2013 and 2017, with higher rates of PIA reported for women versus men during both years. PIA prevalence was reduced in only Belgium’s women and Luxembourg’s men. Our data indicate a limited gender-sensible approach while tacking PIA prevalence with no progress reaching global voluntary reductions of PIA for 2025.

scholarly journals Trends of low physical activity among Iranian adolescents across urban and rural areas during 2006–2011

2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Parisa Amiri ◽  
Parisa Naseri ◽  
Golnaz Vahedi-Notash ◽  
Sara Jalali-Farahani ◽  
Yadollah Mehrabi ◽  
...  
Keyword(s):  
Physical Activity ◽  
Rural Areas ◽  
Urban Areas ◽  
Physical Inactivity ◽  
Multinomial Logistic Regression ◽  
Prevalence Ratio ◽  
Sample Survey ◽  
Activity Levels ◽  
Urban Girls ◽  
Urban And Rural Areas

AbstractIt is well documented that physical inactivity is related to weight gain and a whole host of chronic diseases. This study investigated trends of low physical activity among Iranian adolescents in urban and rural areas between 2006–2011. A total of 12,178 adolescents, aged between 15 and 19 years, participated in National Surveys of Risk Factors for Non-Communicable Diseases. Data on physical activity was obtained using the global physical activity questionnaire. A complex sample survey and multinomial logistic regression were used to model physical activity levels. The percentage of adolescents who had low levels of physical activity increased from 2006 to 2011 in both urban and rural areas. Low and moderate levels of physical activity were lower in rural girls as compared with urban girls, with a prevalence ratio of 0.59 (95% CI 0.47–0.74) and 0.59 (95% CI 0.47–0.74), respectively. The corresponding values for boys residing in rural areas compared with boys in urban areas were 0.56 (95% CI 0.43–0.75) and 0.60 (95% CI 0.48–0.74), respectively. The adolescents' lifestyles showed an increasing trend for physical inactivity in both genders; however, in rural areas, only girls had a rising affinity for a sedentary lifestyle throughout the 2006–2011 years.

scholarly journals Relationship of Weekly Activity Minutes to Metabolic Syndrome in Prediabetes: The Healthy Living Partnerships to Prevent Diabetes

2013 ◽  
Vol 10 (5) ◽  
pp. 690-698 ◽  
Author(s):  
Erica Rosenberger Hale ◽  
David C. Goff ◽  
Scott Isom ◽  
Caroline Blackwell ◽  
Melicia C. Whitt-Glover ◽  
...  
Keyword(s):  
Physical Activity ◽  
Metabolic Syndrome ◽  
Diabetes Prevention ◽  
Physical Inactivity ◽  
International Physical Activity Questionnaire ◽  
Diabetes Prevention Program ◽  
Total Activity ◽  
Healthy Living ◽  
Relationship Of ◽  
Activity Questionnaire

Background:Physical inactivity contributes to metabolic syndrome (MetS) in overweight/obesity. However, little is known about this relationship in prediabetes.Methods:The study purpose is to examine relationships between physical activity (PA) and MetS in prediabetes. The Healthy Living Partnerships to Prevent Diabetes tested a community translation of the Diabetes Prevention Program (DPP). Three hundred one overweight/obese prediabetics provided walking minutes/week (WM) and total activity minutes/week (AM) via the International Physical Activity Questionnaire. MetS was at least 3 of waist (men ≥ 102 cm, women ≥ 88 cm), triglycerides (≥150 mg·dl), blood pressure (≥130·85 mm Hg), glucose (≥100mg·dl), and HDL (men < 40mg·dl, women < 50mg·dl).Results:The sample was 57.5% female, 26.7% nonwhite/Hispanic, 57.9 ± 9.5 years and had a body mass index (BMI) 32.7 ± 4 kg·m2. Sixty percent had MetS. Eighteen percent with MetS reported at least 150 AM compared with 29.8% of those without MetS. The odds of MetS was lower with greater AM (Ptrend = .041) and WM (Ptrend = .024). Odds of MetS with 0 WM were 2.08 (P = .046) and with no AM were 2.78 (P = .009) times those meeting goal. One hour additional WM led to 15 times lower MetS odds.Conclusions:Meeting PA goals reduced MetS odds in this sample, which supported PA for prediabetes to prevent MetS.

scholarly journals Assessment of Sedentary Behavior With the International Physical Activity Questionnaire

2008 ◽  
Vol 5 (s1) ◽  
pp. S30-S44 ◽  
Author(s):  
Dori E. Rosenberg ◽  
Fiona C. Bull ◽  
Alison L. Marshall ◽  
James F. Sallis ◽  
Adrian E. Bauman
Keyword(s):  
Physical Activity ◽  
Sedentary Behavior ◽  
Physical Inactivity ◽  
International Physical Activity Questionnaire ◽  
Population Surveillance ◽  
Sitting Time ◽  
Time Activity ◽  
Physical Activity Questionnaire ◽  
The Relationship ◽  
Activity Questionnaire

Purpose:This study explored definitions of sedentary behavior and examined the relationship between sitting time and physical inactivity using the sitting items from the International Physical Activity Questionnaire (IPAQ).Methods:Participants (N = 289, 44.6% male, mean age = 35.93) from 3 countries completed self-administered long- and short-IPAQ sitting items. Participants wore accelero-meters; were classified as inactive (no leisure-time activity), insufficiently active, or meeting recommendations; and were classified into tertiles of sitting behavior.Results:Reliability of sitting time was acceptable for men and women. Correlations between total sitting and accelerometer counts/min <100 were significant for both long (r = .33) and short (r = .34) forms. There was no agreement between tertiles of sitting and the inactivity category (kappa = .02, P = .68).Conclusion:Sedentary behavior should be explicitly measured in population surveillance and research instead of being defined by lack of physical activity.

scholarly journals Objective Versus Self-Reported Physical Activity in Overweight and Obese Young Adults

2015 ◽  
Vol 12 (10) ◽  
pp. 1394-1400 ◽  
Author(s):  
John M. Jakicic ◽  
Wendy C. King ◽  
Bethany Barone Gibbs ◽  
Renee J. Rogers ◽  
Amy D. Rickman ◽  
...  
Keyword(s):  
Physical Activity ◽  
Young Adults ◽  
Body Fat ◽  
Objective Measure ◽  
Interquartile Range ◽  
Self Report ◽  
Percent Body Fat ◽  
Intensity Physical Activity ◽  
Global Physical Activity Questionnaire ◽  
Activity Questionnaire

Background:To compare moderate-to-vigorous intensity physical activity (MVPA) assessed via questionnaires to an objective measure of MVPA in overweight or obese young adults.Methods:MVPA was assessed in 448 [median BMI = 31.2 (Interquartile Range: 28.5–34.3) kg/m2] young adults [median age: 30.9 (Interquartile Range: 27.8–33.7) years]. Measures included the SenseWear Armband (MVPAOBJ), the Paffenbarger Questionnaire (MVPAPAFF), and the Global Physical Activity Questionnaire (GPAQ). The GPAQ was used to compute total MVPA (MVPAGPAQ-TOTAL) and MVPA from transportation and recreation (MVPAGPAQ-REC).Results:The association between MVPAOBJ and MVPAPAFF was rs = 0.40 (P < .0001). Associations between MVPAOBJ and MVPAGPAQ-TOTAL and MVPAGPAQ-REC were rs = 0.19 and rs = 0.32, respectively (P < .0001). MVPAGPAQ-TOTAL was significantly greater than MVPAOBJ (P < .0001). Median differences in MET-min/week between MVPAOBJ and MVPAPAFF or MVPAGPAQ-REC were not significantly different from zero. There was proportional bias between each self-reported measure of MVPA and MVPAOBJ. There were significant associations between all measures of MVPA and fitness. MVPAOBJ was significantly associated with BMI and percent body fat.Conclusions:Objective and self-reported measures of MVPA are weakly to moderately correlated, with substantial differences between measures. MVPAOBJ provided predictive validity with fitness, BMI, and percent body fat. Thus, an objective measure of MVPA may be preferred to self-report in young adults.

scholarly journals Physical activity patterns and correlates among adults from a developing country: the Sri Lanka Diabetes and Cardiovascular Study

2012 ◽  
Vol 16 (9) ◽  
pp. 1684-1692 ◽  
Author(s):  
Prasad Katulanda ◽  
Ranil Jayawardana ◽  
Priyanga Ranasinghe ◽  
MH Rezvi Sheriff ◽  
David R Matthews
Keyword(s):  
Physical Activity ◽  
Metabolic Syndrome ◽  
Regression Analysis ◽  
Physical Inactivity ◽  
Tertiary Education ◽  
Binary Logistic Regression ◽  
Female Gender ◽  
Binary Logistic Regression Analysis ◽  
Sri Lankan ◽  
Highly Active

AbstractObjectiveTo evaluate patterns of physical activity (PA), the prevalence of physical inactivity and the relationships between PA and sociodemographic, clinical and biochemical parameters among Sri Lankan adults.DesignDescriptive cross-sectional study.SettingNationally representative population-based survey conducted in Sri Lanka.SubjectsData on PA and associated details were obtained from 5000 adults. PA was assessed using the International Physical Activity Questionnaire (short-form). A binary logistic regression analysis was performed using the dichotomous variable ‘health-enhancing PA’ (0 = ‘active’, 1 = ‘inactive’).ResultsSample size was 4485. Mean age was 46·1 (sd 15·1) years, 39·5 % were males. The mean weekly total MET (metabolic equivalents of task) minutes of PA among the study population was 4703 (sd 4369). Males (5464 (sd 5452)) had a significantly higher weekly total MET minutes than females (4205 (sd 3394); P < 0·001). Rural adults (5175 (sd 4583)) were significantly more active than urban adults (2956 (sd 2847); P < 0·001). Tamils had the highest mean weekly total MET minutes among ethnicities. Those with tertiary education had lowest mean weekly total MET minutes. In all adults 60·0 % were in the ‘highly active’ category, while only 11·0 % were ‘inactive’ (males 14·6 %, females 8·7 %; P < 0·001). Of the ‘highly active’ adults, 85·8 % were residing in rural areas. Results of the binary logistic regression analysis indicated that female gender (OR = 2·1), age >70 years (OR = 3·8), urban living (OR = 2·5), Muslim ethnicity (OR = 2·7), tertiary education (OR = 3·6), obesity (OR = 1·8), diabetes (OR = 1·6), hypertension (OR = 1·2) and metabolic syndrome (OR = 1·3) were all associated with significantly increased odds of being physically ‘inactive’.ConclusionsThe majority of Sri Lankan adults were ‘highly active’ physically. Female gender, older age, urban living, Muslim ethnicity and tertiary education were all significant predictors of physical inactivity. Physical inactivity was associated with obesity, diabetes, hypertension and metabolic syndrome.

scholarly journals Does GPAQ exhibit a higher correlation with the maximum oxygen capacity than IPAQ among young adults?

2021 ◽  
Vol 6 (3) ◽  
pp. 411-420
Author(s):  
Gilang Fachri Maulana ◽  
Novita Intan Arovah
Keyword(s):  
Physical Activity ◽  
Young Adults ◽  
Convergent Validity ◽  
Rank Test ◽  
Moderate Correlation ◽  
Physical Activity Questionnaire ◽  
Sports Science ◽  
Oxygen Capacity ◽  
Significant Difference ◽  
Activity Questionnaire

International Physical Activity Questionnaire (IPAQ) and the Global Physical Activity Questionnaire (GPAQ) are the two most widely used to measure physical activity (PA). Yet, their convergent validation with the maximum oxygen capacity (VO2Max) among Indonesian young adults is unknown. This study compared physical activity (PA) assessments using IPAQ and GPAQ and their correlations with the maximal oxygen capacity (VO2Max) in the young adult population. This study was a cross-sectional descriptive study on 63 Sports Science students (84.13% Male age ranged 18-22 years). PA was measured using both the GPAQ and IPAQ to calculate the total PA and PA in each domain (i.e. work-related, transport-related, and leisure). One additional domain which was household-related was assessed exclusively for the IPAQ based on the scoring guideline. The VO2Max was measured using a standard equation based on participants’ performance on a 1-mile run. Paired sample t-test was conducted to compare total PA based on GPAQ and IPAQ while the Wilcoxon sign rank test was conducted to compare GPAQ and IPAQ domains. Pearson or Spearman correlation test assessed the correlations among the VO2Max, total PA, and PA on each GPAQ’s and IPAQ domain. No significant difference in the total PA per week between IPAQ and GPAQ was found. Significant differences, however, were found in work and transport domains, but not in the leisure domains. A moderate correlation among GPAQ and IPAQ (r=0.56, p=0.01), a moderate correlation between GPAQ and VO2Max (r=0.41, p= 0.01) but a weak correlation between IPAQ dan VO2Max (r=0.25, p<0.05) were demonstrated. While, this study has indicated convergent validity of both GPAQ and IPAQ, GPAQ has a higher correlation with VO2Max compared to the IPAQ. Therefore, GPAQ is more recommended to be used to measure PA levels among Indonesian young adults compared to IPAQ.

scholarly journals Association between physical activity and sickness absenteeism in university workers

2019 ◽  
Vol 70 (1) ◽  
pp. 24-30 ◽  
Author(s):  
R López-Bueno ◽  
L Smith ◽  
L L Andersen ◽  
G F López-Sánchez ◽  
J A Casajús
Keyword(s):  
Physical Activity ◽  
Physical Inactivity ◽  
Cross Sectional ◽  
Sickness Absenteeism ◽  
University Employees ◽  
Global Cost ◽  
Other Information ◽  
Promotion Strategies ◽  
Short Versions ◽  
Activity Questionnaire

Abstract Background Sedentary occupations have increased by more than 10% in Western countries over the last two decades, and the yearly global cost of physical inactivity has been estimated to be $53.8 billion. As workers tend to move less in the workplace, they are more likely to develop a sedentarism-related chronic condition and to be absent from work due to illness, although research evidence on the issue remains unclear. Aims To investigate associations between physical activity (PA) and sickness absenteeism in the workplace among Spanish university workers. Methods We conducted cross-sectional research with data from 1025 workers aged 18–65 years (43% women) from a Spanish university. Physical Activity Vital Sign (PAVS) and International Physical Activity Questionnaire (IPAQ) short versions were used to evaluate levels of PA. Workplace absenteeism was self-reported by participants. Written questionnaires distributed during medical checks included PAVS, IPAQ and the question about absenteeism among other information. The association between PA and sickness absenteeism was examined using adjusted multiple linear regression. Results After adjusting for age, sex, job function, chronic conditions, sedentarism and smoking, each weekly hour of PA reduced sickness absence by −1.20 (95% confidence interval: −2.40–0.00) days per year. Conclusions The implementation of PA promotion strategies aimed at university employees may lead to a reduction of days off work due to illness.

scholarly journals Physical Activity and Adherence to Mediterranean Diet Increase Total Antioxidant Capacity: The ATTICA Study

2011 ◽  
Vol 2011 ◽  
pp. 1-7 ◽  
Author(s):  
Stavros A. Kavouras ◽  
Demosthenes B. Panagiotakos ◽  
Christos Pitsavos ◽  
Christina Chrysohoou ◽  
Giannis Arnaoutis ◽  
...  
Keyword(s):  
Physical Activity ◽  
Antioxidant Capacity ◽  
Mediterranean Diet ◽  
Total Antioxidant Capacity ◽  
International Physical Activity Questionnaire ◽  
Highly Active ◽  
Total Antioxidant ◽  
The Mediterranean ◽  
Stratified Analysis ◽  
Activity Questionnaire

We studied the association of physical activity and adherence to the Mediterranean diet, in total antioxidant capacity (TAC). A random sample of 1514 men and 1528 women was selected from Attica region. Physical activity was assessed with a translated version of the validated “International Physical Activity Questionnaire” (iPAQ), and dietary intake through a validated Food Frequency Questionnaire (FFQ). Adherence to the Mediterranean diet was assessed by the MedDietScore that incorporated the inherent characteristics of this diet. TAC was positively correlated with the degree of physical activity (P<.05). TAC was also positively correlated with MedDietScore (r=0.24,P<.001). Stratified analysis by diet status revealed that the most beneficial results were observed to highly active people as compared to inactive, who also followed the Mediterranean diet (288  ±  70 μmol/L,230  ±  50 μmol/L, resp.), after adjusting for various confounders. Increased physical activity and greater adherence to the Mediterranean diet were associated with increased total antioxidant capacity.

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