Impact of Climatic Conditions on Physical Activity: A 2-Year Cohort Study in the Arabian Gulf Region

Al-Mohannadi, Abdulla Saeed; Farooq, Abdulaziz; Burnett, Angus; Walt, Mercia Van Der; Al-Kuwari, Mohamed Ghaith

doi:10.1123/jpah.2015-0593

Cited by 27 publications

(29 citation statements)

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“…Finally, Al-Mohannadi et al [52] led a 2-year cohort study in a sample of 2,088 Qatar residents (Arabian Gulf region). The study assessed associations between 2-year changes in objectively assessed physical activity (i.e., step counts per day and aerobic steps per day) and climatic conditions (i.e., outdoor average temperature, humidity, cloud cover, rain/thunderstorms and WetBulb Globe Temperature, WBGT).…”

Section: Empirical Studiesmentioning

confidence: 99%

Climate change, physical activity and sport: a systematic review

Bernard¹,

Chevance²,

Kingsbury³

et al. 2020

Preprint

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BackgroundThe climate change manifestations are associated with dramatic consequences for human health and threat physical activity behaviors.ObjectiveThe aims of this systematic review were to present the potential bidirectional associations between climate change consequences and physical activity (PA) behaviors in human and to propose the first synthesis of the literature through a conceptual model of climate change and PA. MethodsStudies published before October 2019, were identified through database searches in Pubmed, PsycArticles, CINAHL, SportDiscus, GreenFILE and GeoRef. Studies examining the associations between PA domains and climate change (e.g., natural disaster, air pollution, carbon footprint) were included.ResultsA narrative synthesis was performed and the 63 identified articles were classified into 6 topics: air pollution and PA, extreme weather conditions and PA, greenhouse gas emissions and PA, carbon footprint among sport participants, natural disasters and PA and the future of PA and sport practices in a changing world. Then, a conceptual model was proposed to identify the multidimensional associations between climate change and PA as well as sport practices. The results indicated a consistent negative effect of air pollution, extreme temperatures and natural disasters on PA levels. This PA reduction will be more severe in adults with chronic diseases, higher body mass index and elderly. The sport and PA communities can play an important mitigation role in post-natural disaster contexts. However, transport related to sport practices are also a source of greenhouse gas emissions.ConclusionThe climate change consequences increasingly and disproportionately impact PA at worldwide scale. PA has two concurrent mitigation and amplification roles towards climate changes.

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Section: Empirical Studiesmentioning

confidence: 99%

Climate change, physical activity and sport: a systematic review

Bernard¹,

Chevance²,

Kingsbury³

et al. 2020

Preprint

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“…These studies considered daily weather variables for temperature, rainfall, relative humidity, wind speed, sea level pressure, snow on ground etc. along with demographic variables [ 72 , 73 ].…”

Section: Resultsmentioning

confidence: 99%

“…The other studies found using multilevel models that the effect of temperature and humidity were both significant positive determinants of step counts while rainfall, snow depth and wind speed had a significant negative relationship with daily step counts [ 72 , 73 ]. A significant interaction effect for maximum wind speed and BMI was also found, with maximum wind speed having more of an effect on individuals with lower (BMI = 20) and higher BMI’s (BMI = 35) [ 73 ].…”

Section: Resultsmentioning

confidence: 99%

“…Multilevel models are capable of providing a correction for the error structure for repeated measurements for the same individual over time [ 72 , 73 ]. These models do not assume equal numbers of repeated observations for each participant, ensuring that the inclusion of respondents with missing data does not bias estimated effects [ 74 , 90 ].…”

Section: Discussionmentioning

confidence: 99%

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Statistical methods to model and evaluate physical activity programs, using step counts: A systematic review

2018

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BackgroundPhysical activity reduces the risk of noncommunicable diseases and is therefore an essential component of a healthy lifestyle. Regular engagement in physical activity can produce immediate and long term health benefits. However, physical activity levels are not as high as might be expected. For example, according to the global World Health Organization (WHO) 2017 statistics, more than 80% of the world’s adolescents are insufficiently physically active. In response to this problem, physical activity programs have become popular, with step counts commonly used to measure program performance. Analysing step count data and the statistical modeling of this data is therefore important for evaluating individual and program performance. This study reviews the statistical methods that are used to model and evaluate physical activity programs, using step counts.MethodsAdhering to PRISMA guidelines, this review systematically searched for relevant journal articles which were published between January 2000 and August 2017 in any of three databases (PubMed, PsycINFO and Web of Science). Only the journal articles which used a statistical model in analysing step counts for a healthy sample of participants, enrolled in an intervention involving physical exercise or a physical activity program, were included in this study. In these programs the activities considered were natural elements of everyday life rather than special activity interventions.ResultsThis systematic review was able to identify 78 unique articles describing statistical models for analysing step counts obtained through physical activity programs. General linear models and generalized linear models were the most popular methods used followed by multilevel models, while structural equation modeling was only used for measuring the personal and psychological factors related to step counts. Surprisingly no use was made of time series analysis for analysing step count data. The review also suggested several strategies for the personalisation of physical activity programs.ConclusionsOverall, it appears that the physical activity levels of people involved in such programs vary across individuals depending on psychosocial, demographic, weather and climatic factors. Statistical models can provide a better understanding of the impact of these factors, allowing for the provision of more personalised physical activity programs, which are expected to produce better immediate and long-term outcomes for participants. It is hoped that this review will identify the statistical methods which are most suitable for this purpose.

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“…In Qatar, hot weather is a major barrier to physical activity and impacts the average number of steps adults take per day: as heat and humidity increase, the number of daily steps decreases (Al-Mohannadi, Farooq, & Burnett, 2016). Promoting physical activity in indoor air-conditioned areas in a workplace can provide an alternative environment where workers could meet daily physical activity needs.…”

Section: Discussionmentioning

confidence: 99%

A Cross-Sectional Study Exploring Motivators and Barriers to Physical Activity Participation Among Hospital Workers

Al-Mohannadi¹,

Albuflasa²,

Sayegh³

et al. 2020

GJHS

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The workplace is an ideal setting to implement an effective health-promoting program. Insufficient information exists regarding the motivators and barriers to physical activity among working adults in Qatar. Therefore, this study aimed to identify the motivators and barriers to physical activity among adults in a healthcare setting. This cross-sectional study was conducted in an orthopaedic and sports medicine hospital. The participants were Qatari and non-Qatari adult staff (n = 100), who were recruited by word of mouth. They filled out self-administered questionnaires consisting of questions on age, gender, nationality, medical conditions, and the motivators (external, health/medical, and engagement) and barriers (personal, perceptual, and time constraint) to participating in physical activity. The characteristics of participants were: Age (<35 years, 50.5%; ≥35 years, 49.5%), Gender (men, 47.5%; women, 52.5%), Nationality (Qatari, 51%; non-Qatari, 49%), and health status (healthy, 53%; ≥1 medical condition, 47%). Common motivators particularly among workers <35 years, were the desire to maintain weight/shape (83.5%), participating in a sport (67.7%), and getting out of the house (64.2%). Common barriers to exercise were weather (84.9%) and family responsibilities (84.4%). Other barriers, particularly among women, were difficulty in maintaining a routine (82.1%) and finding physical activity uninteresting (52.7%). The most common motivator to physical activity was the desire to maintain weight/shape and the main perceived barrier was the usual hot weather conditions most part of the year). Employers may need to consider the influence of these and other factors to improve the success of a physical activity program implemented in a workplace.

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Impact of Climatic Conditions on Physical Activity: A 2-Year Cohort Study in the Arabian Gulf Region

Abstract: Increased temperature and humidity are associated with a reduction in the number of steps taken per day. Community-based PA programs in hot hot/humid climates should consider novel approaches to increase PA levels.

Cited by 27 publications

References 0 publications

Climate change, physical activity and sport: a systematic review

Climate change, physical activity and sport: a systematic review

Statistical methods to model and evaluate physical activity programs, using step counts: A systematic review

A Cross-Sectional Study Exploring Motivators and Barriers to Physical Activity Participation Among Hospital Workers

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