Weather conditions and daily television use in the Netherlands, 1996–2005

Eisinga, Rob; Franses, Philip Hans; Vergeer, Maurice

doi:10.1007/s00484-010-0366-5

Cited by 20 publications

(14 citation statements)

References 35 publications

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“…e daily sedentary time was shorter on sunny days than on rainy days among Chinese men and women. is result was consistent with that of Eisinga et al [31], who reported that uncomfortable weather conditions are associated with long daily television time.…”

Section: Discussionsupporting

confidence: 93%

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Association among Weather Conditions, Ambient Air Temperature, and Sedentary Time in Chinese Adults

Yuan

et al. 2019

BioMed Research International

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is study is aimed to quantify the association among weather conditions, ambient air temperature, and sedentary time in Chinese adults. e participants were 3,270 Chinese users of a wrist-worn activity tracker. eir daily activity data were collected using an algorithm based on raw data to determine the sedentary time. e data of ambient air temperature and weather were collected from the meteorological data released by China Central Meteorological Observatory. Two-level linear regression analyses showed that weather conditions had a significant influence on sedentary time in Chinese adults after adjustments for some covariates were made. When the weather condition changed from rainy days to sunny and cloudy days, sedentary time might decrease by about 6.89 and 5.60 min, respectively. In conclusion, weather conditions were independently associated with sedentary time in Chinese adults. e daily sedentary time was shorter on sunny and cloudy days than on rainy days.

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Section: Discussionsupporting

confidence: 93%

“…is finding was inconsistent with previous findings. Eisinga et al [31] also reported that daily television time can be long on days with low temperatures. Other studies have also revealed that sedentary time is long in winter and short in summer [18,32,33].…”

Section: Discussionmentioning

confidence: 98%

Association among Weather Conditions, Ambient Air Temperature, and Sedentary Time in Chinese Adults

Yuan

et al. 2019

BioMed Research International

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“…We found that individuals who completed 7-day accelerometry during the winter were more likely to exhibit patterns of prolonged sedentary behavior. Sedentary behaviors have been reported to increase on days with lower temperature, less sunshine, inclement weather, and fewer daylight hours (11), conditions common in winter. The increase in prolonged sedentary behavior during winter may also be influenced by changes in psychological mood or emotional state (21).…”

Section: Discussionmentioning

confidence: 99%

Patterns of Sedentary Behavior in US Middle-Age and Older Adults

Diaz

Howard

Hutto

et al. 2016

Medicine &Amp; Science in Sports &Amp; Exercise

141

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Purpose The purpose of this study was to examine patterns of objectively-measured sedentary behavior in a national cohort of U.S. middle-aged and older adults and determine factors that influence prolonged sedentary behavior. Methods We studied 8,096 participants from the REasons for Geographic and Racial Differences in Stroke (REGARDS) Study, a population-based study of black and white adults ≥45 years. Seven-day accelerometry was conducted. Prolonged sedentary behavior was defined as accumulating ≥50% of total sedentary time in bouts ≥30 min. Results The number of sedentary bouts ≥20, ≥30, ≥60, and ≥90 min were 8.8 ± 2.3, 5.5 ± 1.9, 1.9 ± 1.1, and 0.8 ± 0.7 bouts/day, respectively. Sedentary bouts ≥20, ≥30, ≥60, and ≥90 min accounted for 60.0 ± 13.9%, 48.0 ± 15.5%, 26.0 ± 15.4%, and 14.2 ± 12.9% of total sedentary time, respectively. Several factors were associated with prolonged sedentary behavior in multivariate-adjusted models (Odds Ratio [95% CI]): older age (65-74 years: 1.99 [1.55-2.57]; ≥75 years: 4.68 [3.61-6.07] vs. 45-54 years), male sex (1.41 [1.28-1.56] vs. female), residence in non-stroke belt/buckle region of U.S. (stroke belt: 0.87 [0.77-0.98]; stroke buckle: 0.86 [0.77-0.95] vs. non-belt/buckle), body mass index (BMI) (overweight: 1.33 [1.18-1.51]; obese: 2.15 [1.89-2.44] vs. normal weight), winter (1.18 [1.03-1.35] vs. summer), and low amounts of moderate-vigorous physical activity (MVPA) [0 min/week: 2.00 [1.66-2.40] vs. ≥150 min/week). Conclusions In this sample of U.S. middle-aged and older adults, a large proportion of total sedentary time was accumulated in prolonged, uninterrupted bouts of sedentary behavior as almost one-half was accumulated in sedentary bouts ≥30 min. Several sociodemographic (age, sex, BMI), behavioral (MVPA), environmental (region), and seasonal factors are associated with patterns of prolonged sedentary behavior.

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“…For this reason, we chose the weather variables that allowed us to retain as many users as possible. Moreover, the variables that we used are those most commonly used in the literature91011.…”

Section: Methodsmentioning

confidence: 99%

Effects of climatic variables on weight loss: a global analysis

Ustulin

Keum²,

Woo

et al. 2017

Sci Rep

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Several studies have analyzed the effects of weather on factors associated with weight loss. In this study, we directly analyzed the effect of weather on intentional weight loss using global-scale data provided by smartphone applications. Through Weather Underground API and the Noom Coach application, we extracted information on weather and body weight for each user located in each of several geographic areas on all login days. We identified meteorological information (pressure, precipitation, wind speed, dew point, and temperature) and self-monitored body weight data simultaneously. A linear mixed-effects model was performed analyzing 3274 subjects. Subjects in North America had higher initial BMIs than those of subjects in Eastern Asia. During the study period, most subjects who used the smartphone application experienced weight loss in a significant way (80.39%, p-value < 0.001). Subjects who infrequently recorded information about dinner had smaller variations than those of other subjects (βfreq.users dinner*time = 0.007, p-value < 0.001). Colder temperature, lower dew point, and higher values for wind speed and precipitation were significantly associated with weight loss. In conclusion, we found a direct and independent impact of meteorological conditions on intentional weight loss efforts on a global scale (not only on a local level).

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Weather conditions and daily television use in the Netherlands, 1996–2005

Cited by 20 publications

References 35 publications

Association among Weather Conditions, Ambient Air Temperature, and Sedentary Time in Chinese Adults

Association among Weather Conditions, Ambient Air Temperature, and Sedentary Time in Chinese Adults

Patterns of Sedentary Behavior in US Middle-Age and Older Adults

Effects of climatic variables on weight loss: a global analysis

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