scholarly journals Pedometer Assessed Physical Activity Levels of Adolescents in a Selected School in Manila

Author(s):  
Consuelo Gonzalez-Suarez ◽  
Andrea Pera ◽  
Maria Medalla ◽  
Hernani Lopez ◽  
Xavier Villanueva ◽  
...  

An active lifestyle among children and adolescents plays an important role in their normal growth and development. However, studies from different countries have shown a decreasing participation of children in physical activity. In the Philippines, very little is known of adolescent’s involvement in physical activity. Objective: To determine the physical activity (PA) levels using pedometers of the adolescents in Metromanila and factors associated with the level of physical activity. Method: This study is a cross sectional study assessing physical activity patterns using the Yamax Pedometer (SW-200) of adolescents in a selected school in Metromanila. Results: A total of 90 males (15.17 ±1.38; BMI =21.69 ± 4.6 kg/m2) and 78 females (14.85 ± 1.19; BMI = 21.89 ± 4.9 kg/m2) participated in the study. Males had a mean number of steps 10,933.18 ± 4189.5/day while females had a mean of 8307.47 ± 4767.45 steps/day, with males having a significantly higher mean count (p value =0.002). Being male and regular physical exercise were factors associated with a higher pedometer count with a ß (SE) of -171.8 ± 744.1 (95% CI: -2941.3, - 2.5) and ß (SE) 775.6 ± 289.8 (95% CI: 203.4, 1347.8), respectively. Conclusion: Males were generally more active than female adolescents with females having a lower step count compared to studies from other countries. Participation in regular physical activity should be encouraged to prevent the increasing prevalence of lifestyle related diseases.

2017 ◽  
Vol 94 (1107) ◽  
pp. 32-36 ◽  
Author(s):  
Arjuna Medagama ◽  
Manoj Galgomuwa ◽  
Chinthani De Silva

BackgroundPhysical inactivity is the fourth leading risk factor for mortality worldwide and a leading risk factor for type 2 diabetes and cardiovascular disease. Medical undergraduates are a group of young adults expected to have a sound knowledge of the benefits of physical activity (PA) and have an active lifestyle.ObjectiveTo quantifyPA levels among medical undergraduates of a Sri Lankan university and to determine the socio-demographic correlates of physical inactivity.MethodsMedical undergraduates in their third, fourth and fifth years of study were recruited for this quantitative, descriptive, cross-sectional study using a self-administered questionnaire.ResultsA total of 421 students were recruited. Overall 41% were physically inactive. Females (47%) were more inactive than males (34%). The total mean weekly metabolic equivalent (MET)-minutes was 1468.2±1873. Males (1676.2±1629) had a higher mean weekly MET minutes than females (1319±20102), p=0.05. 88% owned a portable internet device such as a smartphone or tablet. Students using health-related apps on their devices had significantly higherPA (p=0.01) and lower body mass index (BMI) (p=0.04), than those who did not. Binary logistic regression revealed physical inactivity to be significantly associated with gender (p=0.01), not using a health-promoting app on their portable device (p=0.01) and the year of study (p=0.03).ConclusionPhysical inactivity is a significant problem among medical undergraduates. The use of health applications was associated with a higher PA and lower BMI. The reasons for inactivity and the discrepancy in activity levels between males and females needs to be explored in greater detail.


2019 ◽  
Vol 1 (2) ◽  
pp. 344-353
Author(s):  
Mayasari Mayasari ◽  
Agung Waluyo ◽  
Wati Jumaiyah ◽  
Rohman Azzam

The purpose of this study was to determine the factors associated with the incidence of hypertension in the Work Area of Bonegunu Health Center, North Buton Regency. This study uses a cross sectional study analytic survey design. The results of the study using the chi-square test showed that p value = 0,000 for knowledge, p value = 0.001 for physical activity / sports, p value = 0.002 for diet, p value = 0.002 infrastructure, pvalue = 0,000 for alcohol consumption, and p value = 0,000 for stress with hypertension. Conclusion, there is a relationship between knowledge, physical activity, diet, health facilities, alcohol consumption and stress with the incidence of hypertension.   Keywords: Hypertension Occurrence Factors, Hypertension


Author(s):  
Katarzyna Kwiatkowska ◽  
Katarzyna Kosińska-Kaczyńska ◽  
Izabela Walasik ◽  
Agnieszka Osińska ◽  
Iwona Szymusik

Background: No specific physical activity guidelines are available for women in multiple pregnancy. Aim of the study was to assess the knowledge and experience of women regarding physical activity during their latest twin pregnancy. Methods: A cross-sectional study including women after a twin delivery was conducted in Poland. A questionnaire was distributed in 2018 via web pages and Facebook groups designed for pregnant women. Results: 652 women filled out the questionnaire completely. Only 25% of women performed any physical exercises during twin gestation. The frequency of preterm delivery was similar in physically active and non-active participants. 35% of the respondents claimed to have gained information on proper activity from obstetricians during antenatal counselling while 11% claimed to be unable to identify the reliable sources of information. 7% of women admitted to feel discriminated by social opinion on exercising during a twin pregnancy. Conclusions: The population of women with a twin gestation is not sufficiently physically active and is often discouraged from performing exercises during gestation. Therefore, it is crucial to inform obstetricians to recommend active lifestyle during a twin gestation and to provide reliable information on physical activity to pregnant women. Further research on this topic is necessary in order for obstetric providers to counsel women on appropriate exercise with a twin pregnancy.


2021 ◽  
Vol 80 (Suppl 1) ◽  
pp. 1017.2-1018
Author(s):  
N. Kelly ◽  
E. Hawkins ◽  
H. O’leary ◽  
K. Quinn ◽  
G. Murphy ◽  
...  

Background:Rheumatoid arthritis (RA) is a chronic, autoimmune inflammatory condition that affects 0.5% of the adult population worldwide (1). Sedentary behavior (SB) is any waking behavior characterized by an energy expenditure of ≤1.5 METs (metabolic equivalent) and a sitting or reclining posture, e.g. computer use (2) and has a negative impact on health in the RA population (3). Sleep is an important health behavior, but sleep quality is an issue for people living with RA (4, 5). Poor sleep quality is associated with low levels of physical activity in RA (4) however the association between SB and sleep in people who have RA has not been examined previously.Objectives:The aim of this study was to investigate the relationship between SB and sleep in people who have RA.Methods:A cross-sectional study was conducted. Patients were recruited from rheumatology clinics in a large acute public hospital serving a mix of urban and rural populations. Inclusion criteria were diagnosis of RA by a rheumatologist according to the American College of Rheumatology criteria age ≥ 18 and ≤ 80 years; ability to mobilize independently or aided by a stick; and to understand written and spoken English. Demographic data on age, gender, disease duration and medication were recorded. Pain and fatigue were measured by the Visual Analogue Scale (VAS), anxiety and depression were assessed using the Hospital Anxiety and Depression Scale (HADS), and sleep quality was assessed using the Pittsburgh Sleep Quality Index. SB was measured using the ActivPAL4™ activity monitor, over a 7-day wear period. Descriptive statistics were calculated to describe participant characteristics. Relationships between clinical characteristics and SB were examined using Pearson’s correlation coefficients and regression analyses.Results:N=76 participants enrolled in the study with valid data provided by N=72 participants. Mean age of participants was 61.5years (SD10.6) and the majority 63% (n = 47) were female. Participant mean disease duration was 17.8years (SD10.9). Mean SB time was 533.7 (SD100.1) minutes (8.9 hours per day/59.9% of waking hours). Mean sleep quality score was 7.2 (SD5.0) (Table 1). Correlation analysis and regression analysis found no significant correlation between sleep quality and SB variables. Regression analysis demonstrated positive statistical associations for SB time and body mass index (p-value=0.03846, R2 = 0.05143), SB time and pain VAS (p-value=0.009261, R2 = 0.07987), SB time and HADS (p-value = 0.009721, R2 = 0.08097) and SB time and HADSD (p-value = 0.01932, R2 = 0.0643).Conclusion:We found high levels of sedentary behavior and poor sleep quality in people who have RA, however no statistically significant relationship was found in this study. Future research should further explore the complex associations between sedentary behavior and sleep quality in people who have RA.References:[1]Carmona L, et al. Rheumatoid arthritis. Best Pract Res Clin Rheumatol 2010;24:733–745.[2]Anon. Letter to the editor: standardized use of the terms “sedentary” and “sedentary behaviours”. Appl Physiol Nutr Metab = Physiol Appl Nutr Metab 2012;37:540–542.[3]Fenton, S.A.M. et al. Sedentary behaviour is associated with increased long-term cardiovascular risk in patients with rheumatoid arthritis independently of moderate-to-vigorous physical activity. BMC Musculoskelet Disord 18, 131 (2017).[4]McKenna S, et al. Sleep and physical activity: a cross-sectional objective profile of people with rheumatoid arthritis. Rheumatol Int. 2018 May;38(5):845-853.[5]Grabovac, I., et al. 2018. Sleep quality in patients with rheumatoid arthritis and associations with pain, disability, disease duration, and activity. Journal of clinical medicine, 7(10)336.Table 1.Sleep quality in people who have RASleep variableBed Time N(%) before 10pm13(18%) 10pm-12pm43 (60%) after 12pm16 (22%)Hours Sleep mean(SD)6.56 (1.54)Fall Asleep minutes mean(SD)33.3(27.7)Night Waking N(%)45(63%)Self-Rate Sleep mean(SD)2.74 (0.90)Hours Sleep mean(SD)6.56 (1.54)Disclosure of Interests:None declared


Retos ◽  
2021 ◽  
Vol 43 ◽  
pp. 274-282
Author(s):  
Leonardo Intelangelo ◽  
Nacim Molina Gutiérrez ◽  
Nicolás Bevacqua ◽  
Cristian Mendoza ◽  
Iris Paola Guzmán-Guzmán ◽  
...  

Objective: to determine lifestyle changes, such as physical activity, nutrition, and sleep in an Argentinean university population, caused by confinement during the COVID-19 pandemic. Methods: Cross-sectional study via web survey. 1021 the Argentinean university population (women, n = 645 and men, n = 376) aged between 18–70 years old was participate. Survey was utilized to measure participant physical activity behavior, nutrition, and sleep April to May 2020. Results: the main findings revealed that 4.3% of the sample showed obesity; the highest proportion of the sample stayed more than 6 hours in a sedentary status; 21.74% reported bad sleep quality; a reduction in good feeding pattern; and an increase in subjects who do not perform physical activity. According to socio-demographic and anthropometric factors, being a student (OR 2.19, CI95% 1.18 - 4, p= .012), overweight (OR 1.71, CI95% 1.19 – 2.44, p= .003), obesity (OR 4.45, CI95% 2.27 – 8.7, p< .001), and have been confined more than 45 days was associated with bad feeding. Likewise, low physical activity levels were associated with obesity (OR 3.2 CI95% 1.66 – 6.18, p= .001), being female (OR 1.61, CI95% 1.14 –2.28, p= .006) and get married (OR 1.72, CI95% 1.14 – 2.61, p= .009). Moreover, being a student was associated with poor sleep quality (OR 43.6, CI95%5.4 – 350, p< .001). Conclusion: This study suggests that confinement decreased healthy living habits such as good nutrition and physical activity and affected the quality of sleep in young subjects.  Resumen. Objetivo: determinar los cambios en el estilo de vida, como la actividad física, la nutrición y el sueño en una población universitaria argentina, causados por el confinamiento durante la pandemia de COVID-19. Métodos: Estudio transversal mediante encuesta por Internet. Participaron 1021 personas de la población universitaria argentina (mujeres, n = 645 y hombres, n = 376) de entre 18 y 70 años de edad. La encuesta fue utilizada para medir el comportamiento de la actividad física, la nutrición y el sueño de los participantes de abril a mayo de 2020.Resultados: los principales hallazgos mostraron que el 4,3% de la muestra presentaba obesidad; la mayor proporción de la muestra permaneció más de 6 horas en estado sedentario; el 21,74% informó sobre la mala calidad del sueño; una reducción de los hábitos correctos de alimentación; y un aumento de los participantes que no realizan actividad física. De acuerdo con factores socio-demográficos y antropométricos, ser estudiante (OR 2.19, CI95% 1.18 - 4, p= .012), el sobrepeso (OR 1.71, CI95% 1.19 - 2.44, p= .003), la obesidad (OR 4.45, CI95% 2.27 - 8.7, p< .001), y haber estado confinado más de 45 días se asoció con una mala alimentación. Asimismo, los bajos niveles de actividad física se asociaron con la obesidad (OR 3,2; IC95% 1,66 - 6,18, p= .001), ser mujer (OR 1,61; IC95% 1,14 -2,28, p= .006) y estar casado (OR 1,72; IC95% 1,14 - 2,61, p= .009). Además, ser estudiante se asoció con una mala calidad de sueño (OR 43,6, CI95% 5,4 - 350, p< .001). Conclusión: Este estudio sugiere que el confinamiento disminuyó los hábitos de vida saludables como la buena nutrición, la actividad física, y afectó la calidad del sueño en sujetos jóvenes.


2017 ◽  
Vol 9 (4) ◽  
pp. 266 ◽  
Author(s):  
Husam Eldin Elsawi Khalafalla ◽  
Mohamed Salih Mahfouz ◽  
Muath Hassan Ibrahim Najmi ◽  
Sayyaf Abdullah Mohammad Najmi ◽  
Qasem Ali Yahya Arishi ◽  
...  

BACKGROUND: Physical activity is one of the most important factors that affect human health; it reduces the chances of hypertension, coronary heart disease, stroke, diabetes, breast and colon cancer, and depression.OBJECTIVES: The objectives of this study were to measure prevalence of physical activity and to determine the factors affecting the level of physical activity among medical student in Jazan University.METHODS: A cross-sectional study was conducted among the students of medical colleges of Jazan University. A random sample of 419 was determined using most recent physical activity prevalence. A validated self-administered questionnaire was used for data collection.RESULTS: There is a high prevalence of inactivity among study participants (88.1%). Females (91.7%) were more significantly (p value=0.013) inactive than males (83.8%). The most influential barrier perceived by participants is (heavy) academic work as well as lack of places for physical activity; the latter factor being more effective in hindering female students' physical activity.CONCLUSION: Results revealed that the inactivity rate was very high among medical students. The results of this study call for a well-planned intervention at the university level for improving the level of physical activity among university students.


2020 ◽  
Vol 2 (2) ◽  
pp. 56-65
Author(s):  
Ayu Wulandari ◽  
Zulhaida Lubis ◽  
Evawani Aritonang

Introduction: The results of the initial survey showed that there were seven children with low food pattern and moderate physical activity was having a cognitive function and low academic achievement at school, and three children with good food pattern and moderate physical activity were having good cognitive and high academic achievement in school. This study was to determine the relations of food patterns and physical activity with academic achievement and cognitive function. Methods: This study was a cross-sectional study that was conducted at Elementary School 2 Blangkeujeren, West Labuhanhaji Sub-district, South Aceh District from March 2017 to June 2017. This study used a total sampling design is 81 students. Subjects are all students in grade five (42 students) and six (39 students). Data were collected by using questionnaires include Food Frequency Questionary (FFQ), Food Recall 24 hours, Physical Activity Level (PAL). Last year's report card value and the Mini-Mental State Examination (MMSE) were used to assess cognitive children. Results: The relationship between the type and the amount of macro and micronutrient intake obtained p-value<0.05. This study also showed a relationship between food patterns and cognitive function in children. Based on the research results, there is a relationship between physical activity and academic achievement (p<0.05). There is a relationship between physical activity and cognitive function in children. Conclusion: There is a relationship between food patterns, physical activity, academic achievement, and cognitive function.


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