scholarly journals Descriptive Epidemiology of Physical Activity Levels and Patterns in New Zealanders in Advanced Age

2016 ◽  
Vol 24 (1) ◽  
pp. 61-71 ◽  
Author(s):  
Casey Mace ◽  
Ngaire Kerse ◽  
Ralph Maddison ◽  
Timothy Olds ◽  
Santosh Jatrana ◽  
...  

Background:Little is known about the physical activity levels and behaviors of advanced age New Zealanders.Methods:A cross-sectional analysis of data from Life and Living in Advanced Age: A Cohort Study in New Zealand (LiLACS NZ), Te Puāwaitanga O Nga Tapuwae Kia ora Tonu, measures of physical activity (PASE) (n = 664, aged 80–90 [n = 254, Māori, aged 82.5(2), n = 410 non-Māori, aged 85(.5)]) was conducted to determine physical activity level (PAL). A substudy (n = 45) was conducted to attain detailed information about PAL and behaviors via the Multimedia Activity Recall for Children and Adults (MARCA) and accelerometry. The main study was analyzed by sex for Māori and non-Māori.Results:Men consistently had higher levels of physical activity than women for all physical activity measures. Sex was significant for different domains of activity.

2016 ◽  
Vol 13 (12) ◽  
pp. 1378-1384 ◽  
Author(s):  
Delphine De Smedt ◽  
Els Clays ◽  
Christof Prugger ◽  
Johan De Sutter ◽  
Zlatko Fras ◽  
...  

Background:The study aim was to assess the physical activity levels as well as the intention to become physically active in patients with stable coronary heart disease (CHD) with a special focus on the association with their risk profile.Methods:Analyses are based on the cross-sectional EUROASPIRE IV surveys. Information was available on 8966 patients in EUROASPIRE III and on 7998 patients in EUROASPIRE IV. Physical activity level according to patients risk profile and their medical management was assessed, the intention to become physically active was investigated and a time trend analysis was performed.Results:A better cardiovascular risk profile as well as receiving physical activity advice or weight loss advice was associated with better physical activity levels. The physical activity status improved significantly over time, the proportion of patients reporting vigorous physical activity for at least 20 minutes ≥ 3 times/week increased from 14.1% to 20.2% (P < .001). Similarly, a significantly greater proportion of patients are in the maintenance stage (36.6% vs. 27.4%) and a smaller proportion in the precontemplation stage (43.2% vs. 52.3%).Conclusion:Although an increase was seen in the proportion of patients being adequately physical active, physical activity levels remain suboptimal in many CHD patients.


Author(s):  
Arao Oliveira ◽  
Juliane Mercante ◽  
Mario Peres ◽  
Maria Molina ◽  
Paulo Lotufo ◽  
...  

BackgroundPhysical inactivity has been linked to headache disorders, but data regarding the current recommended leisure-time (LTPA) and commuting physical activity (CPA) levels is unknown.ObjectiveTo test the associations between headache disorders (definite and probable migraine tension type headache-TTH) and physical inactivity in these domains (LTPA and CPA) in the Brazilian Longitudinal Study of Adult Health (ELSA-Brasil).MethodsIn a cross-sectional analysis, logistic regression models computed the odds ratio (OR) for the relationship between headache disorders and physical activity (LTPA and CPA) in the following levels: “active” (Reference), “insuciently active”, and “inactive”. The full models were controlled for the effects of sociodemographic data, cardiovascular risk profile, and use of headache medication (migraine prophylaxis)ResultsOf 15,0105 participants, 14,847 (45.6 % of men and 54.4 % women) responded the baseline interviews regarding physical activity levels and headache disorders. Overall, most significant physical inactivity was observed in LTPA domain for definite migraine [OR: 1.32 (1.10-1.57)] and probable migraine [OR: 1.33 (1.17-1.50)]. Similar findings were replicated by sex. Physical inactivity (LTPA) was positively associated with definite migraine in women [OR: 1.29 (1.04-1.59)], probable migraine in both men [OR: 1.40 (1.15-1.69)] and women [OR: 1.29 (1.04-1.59)]. Physical inactivity in CPA domain was associated to increased OR for probable TTH in men [OR: 1.33 (1.01-1.75)], while CPA was inversely associated to definite migraine [OR: 0.79 (0.64-0.98)] and probable migraine [OR: 0.80 (0.67-0.96)] in women. Considering all headaches, unmet vigorous physical activity levels were associated to increased OR for definite migraine [OR: 1.36 (1.13-1.65)] and probable migraine [OR: 1.37 (1.20-1.57)]. Finally, we found higher odds for daily headaches among LTPA-inactive [OR: 1.73 (1.20-2.49)] and CPA-insufficiently active [ OR: 1.36 (1.04-1.79)] participants.ConclusionPhysical inactivity is associated with headache disorders in the ELSA-Brasil study, with distinct associations regarding headache subtype, sex, physical activity domain and intensity, and headache frequency.


2021 ◽  
Author(s):  
Mohammad Azizi ◽  
Alireza Aghababa ◽  
Rastegar Hoseini ◽  
Hadi Rohani ◽  
Maghsoud Nabilpoor

Abstract Background One of the most important consequences of COVID-19 pandemic is anxiety and stress in the general population that can be reduced by regular physical activity. The aim of this study was to estimate the physical activity levels and mood state during covid-19 quarantine among the Kermanshah population. Methods In this cross-sectional study, using the purposeful random sampling method, a total of 2471 subjects ((male (n = 1256) and female (n = 1215)) were selected. To assess the physical activity level from physical activity questionnaire short form (IPAQ-SF) and mood state was measured by the abbreviated form of the Iranian version of the standard POMS questionnaire (Bill Morgan 1979). The descriptive statistic method (mean, standard deviation, and percent), deductive (Chi- square and Spearman's correlation) were used for analyzing the data. Results The results showed that a significant difference was observed between the number of sessions (P = 0.001), intensity (P = 0.001), and duration of exercise (P = 0.001) before and during coronavirus. There are significant positive relationships between low (r = 0.93; P = 0.001) and high (r = 0.673; P = 0.034) levels of physical activity and negative mood state, and a positive relationship between moderate physical activity level (r = 0.82; P = 0.001) and positive mood state. Conclusions It could be determined that the current quarantine has negatively affected the mood state. In general, to prevent COVID-19, regular physical activity is recommended under the health and safety protocols.


2008 ◽  
Vol 5 (1) ◽  
pp. 117-131 ◽  
Author(s):  
Aileen P. McGinn ◽  
Kelly R. Evenson ◽  
Amy H. Herring ◽  
Sara L. Huston ◽  
Daniel A. Rodriguez

Background:Crime is one aspect of the environment that can act as a barrier to physical activity. The goals of this study were to (1) compare measures of perceived crime with observed crime and (2) examine the association between the independent and combined effects of objective and perceived crime on physical activity.Methods:Perceived crime and physical activity were assessed in 1659 persons via telephone survey. Crime was objectively measured in a subset of 303 survey participants.Results:For all types of crime, there was low agreement between objective and perceived measures. Both perceived and objectively measured crime were independently associated with leisure activities.Conclusions:This study suggests that perceptions and objective measures of crime are both important correlates of leisure physical activity. Evaluating both measures is necessary when examining the relationship between crime and physical activity to develop interventions that will most influence leisure physical activity levels.


Author(s):  
Lucas Dos Santos ◽  
Luciano Alves da Cruz Junior ◽  
Luara Costa Fagunde ◽  
Jessica Meira Mendes ◽  
Thais Alves Brito ◽  
...  

During aging, an increase in sedentary behaviour and a decrease in physical activity levels are observed. These factors may increase abdominal adiposity and triglyceride levels, which characterizes the hypertriglyceridemic waist (HW) phenotype, providing a high risk for cardiometabolic diseases. This study aimed to analyze the association between hypertriglyceridemic waist, physical activity level and sedentary behaviour in community-dwelling elderly. A population-based cross-sectional study was carried out, involving 316 elderlies (≥ 60 years) of both genders. The hypertriglyceridemic waist was diagnosed using high triglycerides (≥ 150 mg/dl) and increased waist circumference ≥ 88 and ≥ 102 cm values for women and men, respectively. The physical activity level and sedentary behaviour were evaluated using the IPAQ. The study included 173 women (54.7%) and 143 men (45.3%), with a mean age of 74.2 ± 9.8 years. The prevalence of HW was 27.1%, 47.7% insufficiently active and 24.1% high sedentary behaviour. The insufficiently active elderly (OR= 2.48; 95% CI: 1.31 - 4.71; p= 0.005) and with high sedentary behaviour (OR= 2.21; 95% CI: 1.04 - 4.32; p= 0.038) were associated positively with HW, indicating that elderly with insufficient physical activity levels and high sedentary behaviour showed themselves to approximately 2.5 and 2.2 times more likely to develop HW, respectively. Low physical activity level and high sedentary behaviour are associated with hypertriglyceridemic waist in community-dwelling elderly. 


2019 ◽  
Vol 09 (04) ◽  
pp. 281-285
Author(s):  
Khalid Aziz ◽  
Ayesha Afridi ◽  
Abida Arif ◽  
Ghousia Shahid ◽  
Muhammad Faisal Fahim ◽  
...  

Objective: To evaluate the physical activity levels among DPT students of Bahria University College of Physical therapy (BUCPT) by International Physical Activity Questionnaire (IPAQ) and to study the relationship between Body Mass Index (BMI) and Physical activity levels of DPT students of (BUCPT). Study design and Setting: This cross sectional study was conducted in BUCPT Bahria from March- April 2019 (1 month data collection). Methodology: Written consent form was obtained from each participant before taking part into study. Individual with cardio-respiratory diseases and fractures in last 12 months or any limb disability were excluded from the study. The study tool was IPAQ. Results:A total of 125 students were enrolled in this study. There were 121 (96.8%) female and 4 (3.2%) male observed. Mean age of students were 19.89±1.14 (18-22) years. In low physical activity level, 2 (28.6%) students were underweight, 8 (17.0%) were normal BMI, 3 (9.7%) were overweight and 6 (15.0%) were obese. In moderate physical activity level, 3 (42.9%) underweight, 22 (46.8%) normal, 19 (61.3%) overweight and 19 (47.5%) fall in obese criteria. High physical activity levels were found to be 2 (28.6%) in underweight group, 17 (36.2%) in normal group, 9 (29.0%) in overweight and 15 (37.5%) were obese. Conclusion: BUCPT students were moderately physically active and minority of them were low physically active and majority of them were lying the category of normal BMI. There was statistically insignificant relationship found between BMI and physical activities levels. Some students were obese and still have high physical activity level while some are normal in BMI and having low physical activity level


2011 ◽  
Vol 8 (8) ◽  
pp. 1057-1065 ◽  
Author(s):  
Harriet Koorts ◽  
Calum Mattocks ◽  
Andy R. Ness ◽  
Kevin Deere ◽  
Steven N. Blair ◽  
...  

Background:Little is known about how the type and context of physical activity behaviors varies among adolescents with differing activity levels. The aim of this study was to assess differences in the type and context of physical activity behaviors in adolescents by level of objectively measured physical activity.Methods:Cross-sectional analysis of 2728 adolescents (1299 males, 1429 females) participating in the Avon Longitudinal Study of Parents and Children (ALSPAC). The mean (SD) age was 13.8 (+0.1) years. Physical activity was measured using an Actigraph over 7 days. Adolescents were categorized into tertiles of activity (less, moderately, highly active) using counts/min and min/d of moderate-to-vigorous activity (MVPA). Activity type was reported using the Previous Day Physical Activity Recall (PDPAR). Differences in the type and context of activity by activity level were analyzed using Chi squared.Results:Highly active boys reported more job, outside, and sports activities on school days (P < .05), and more sports activities on nonschool days (P < .05). Highly active girls reported more outside activities on school days (P < .05).Conclusions:Identifying the type and context of physical activity behaviors associated with more active adolescents, can help inform policy and physical activity interventions aimed at increasing activity levels in adolescents.


2019 ◽  
Vol 34 (2) ◽  
pp. 161-168
Author(s):  
Anna V. Wilkinson ◽  
Amanda Davé ◽  
Elif Ozdemir ◽  
Limairy Rodriquez ◽  
Belinda M. Reininger

Purpose: To describe the implementation of Make Your Move Experience (MYME) between 2015 and 2017. Design: Cross-sectional. Setting: Make Your Move Experience is a culturally sensitive worksite wellness program in South Texas designed to encourage sedentary workers to engage in physical activity. Participants: In total, 681 individuals from 19 different organizations. Intervention: UTHealth School of Public Health in Brownsville staff recruited individuals within local organizations to join MYME. At the end of the 3 months, organizations in which employees met MYME goals earned an incentive—bike rack or hydration station—selected to be permanent features of the local environment and facilitate physical activity. Measures: Participant self-reported gender, physical activity level prior to joining MYME (beginner or experienced), and weekly miles of biking, walking, or running completed. Analysis: Mean number of miles biked, walked, and ran each month were compared between (1) beginners and experienced, (2) men and women, and (3) in fall 2016 and spring 2017 using t tests. Results: Beginners initiated physical activity by walking. Men biked more miles than women did ( P < .05 all 3 years). Bike riders cycled fewer miles (20.2 miles vs 44.9 miles; P = .03) and walkers covered fewer miles (195.4 miles vs 266.7 miles; P = .04) in fall 2016 compared to spring 2017. Conclusions: Participation in MYME, a culturally appropriate intervention delivered at the worksite, facilitated an increase in physical activity levels among sedentary individuals.


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