Travel mode, transportation-related physical activity, and risk of overweight in Taiwanese adults

Liao, Yung; Tsai, Hsiu Hua; Wang, Ho Seng; Lin, Ching Ping; Wu, Min; Chen, Jui Fu

doi:10.1016/j.jth.2016.02.012

Cited by 26 publications

(12 citation statements)

References 26 publications

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“…Those preferring walking or cycling exhibited a lower BMI over time than those using cars on a long-term basis ( 160 ). Additionally, Liao et al found out that Taiwanese adults mainly reliant on public transport for travel showed a higher likelihood of engagement in transport-related physical activity and a lower level of risk of developing obesity than those who traveled by walking, cycling, or private vehicles ( 161 ). On the other hand, different transport modes had different impacts on mental health.…”

Section: Discussionmentioning

confidence: 99%

A Review of Advancement on Influencing Factors of Acne: An Emphasis on Environment Characteristics

Yang

et al. 2020

Front. Public Health

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Background: Acne vulgaris is known as a commonly-seen skin disease with a considerable impact on the quality of life. At present, there have been a growing number of epidemiological, medical, demographic and sociological researches focusing on various influencing factors in the occurrence of acne. Nevertheless, the correlation between environmental factors and acne has yet to be fully investigated. Objective: To assess the impacts of individual, natural and social environmental factors on acne and to construct a framework for the potential impact of built environment on acne. Methods: A thorough review was conducted into the published social demographical, epidemiological, and environmental studies on acne through PubMed, Google Scholar and Web of Science, with reference made to the relevant literature. Results: The influencing factors in acne are classed into four major categories. The first one includes individual socioeconomic and biological factors, for example, gender, age, economic level, heredity, obesity, skin type, menstrual cycle (for females), diet, smoking, cosmetics products, electronic products, sleep quality and psychological factors. The second one includes such natural environmental factors as temperature, humidity, sun exposure, air pollution and chloracne. The third one relates to social environment, including social network and social media. The last one includes built environmental factors, for example, population density, food stores, green spaces, as well as other built environment characteristics for transport. Acne can be affected negatively by family history, overweight, obesity, oily or mixed skin, irregular menstrual cycles, sugary food, greasy food, dairy products, smoking, the improper use of cosmetics, the long-term use of electronics, the poor quality of sleep, stress, high temperature, sun exposure, air pollution, mineral oils and halogenated hydrocarbons. Apart from that, there are also potential links between built environment and acne. Yang et al. Acne Conclusions: It is necessary to determine the correlation between the built environment and acne based on the understanding of the impact of traditional factors (sociology of population and environment) on acne gained by multidisciplinary research teams. Moreover, more empirical studies are required to reveal the specific relationship between built environment and acne.

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Section: Discussionmentioning

confidence: 99%

A Review of Advancement on Influencing Factors of Acne: An Emphasis on Environment Characteristics

Yang

et al. 2020

Front. Public Health

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“…The estimated effects were similar for commuting to/from work. Although there are exceptions, 41 public-transport users have generally been demonstrated to accumulate higher levels of PA 34–36 , 42 , 43 and/or to be more likely to meet the recommended levels of daily activity 36 , 44 , 45 than car users. This is thought to be due to public-transport users walking or using other modes of active travel to access public transit 41 , 44 , 46 .…”

Section: Discussionmentioning

confidence: 99%

Driving status, travel modes and accelerometer-assessed physical activity in younger, middle-aged and older adults: a prospective study of 90 810 UK Biobank participants

Hajna

White

Panter

et al. 2019

International Journal of Epidemiology

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Background Associations between driving and physical-activity (PA) intensities are unclear, particularly among older adults. We estimated prospective associations of travel modes with total PA, sedentary time (ST), light-intensity PA (LPA), and moderate-to-vigorous intensity PA (MVPA) among adults aged 39–70 years. Methods We studied 90 810 UK Biobank participants (56.1 ± 7.8 years). Driving status, specific travel modes (non-work travel; commuting to/from work) and covariates were assessed by questionnaire (2006–10). PA was assessed over 7 days by wrist-worn accelerometers (2013–15). We estimated associations using overall and age-stratified multivariable linear-regression models. Results Drivers accumulated 1.4% more total PA (95% confidence interval: 0.9, 1.9), 11.2 min/day less ST (–12.9, –9.5), 12.2 min/day more LPA (11.0, 13.3) and 0.9 min/day less MVPA (–1.6, –0.2) than non-drivers. Compared with car/motor-vehicle users, cyclists and walkers had the most optimal activity profiles followed by mixed-mode users (e.g. for non-work travel, cyclists: 10.7% more total PA, 9.0, 12.4; 20.5 min/day less ST, –26.0, –15.0; 14.5 min/day more MVPA, 12.0, 17.2; walkers: 4.2% more total PA, 3.5, 5.0; 7.5 min/day less ST –10.2, –4.9; 10.1 min/day more MVPA, 8.9, 11.3; mixed-mode users: 2.3% more total PA, 1.9, 2.7; 3.4 min/day less ST –4.8, –2.1; 4.9 min/day more MVPA, 4.3, 5.5). Some associations varied by age (p interaction < 0.05), but these differences appeared small. Conclusions Assessing specific travel modes rather than driving status alone may better capture variations in activity. Walking, cycling and, to a lesser degree, mixed-mode use are associated with more optimal activity profiles in adults of all ages.

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“…The main benefits of using public transport and active forms of movement (e.g. on foot) include (Durand et al, 2016;Litman, 2012;Liao et al, 2016): a decrease in the number of car accidents, an increase in physical activity, enhanced mental health, better accessibility of services for people without their own cars and a decrease in the percentage of obese people.…”

Section: Literature Reviewmentioning

confidence: 99%

Restrictions on regional passenger transport during epidemiological threat (COVID-19) – an example of the Lower Silesian Voivodship in Poland

Smolarski¹

2020

PKG

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The beginning of 2020 was associated with the appearance of the global coronavirus pandemic (COVID-19). The spread of the epidemic caused the introduction of an epidemiological emergency in Poland in early March (on March 12). This resulted in reduced public transport, including regional rail transport. In Lower Silesia, this concerned regional and fast connections. The conducted analysis concerns regional connections and is based on exploration of the spatial and the quantitative aspect of these changes. The transport offer before and after the announcing of the epidemic was analysed. The results showed that most of the transport restrictions concerned the peripheries of the voivodeship (local routes). Agglomeration routes were much less affected by the restrictions. On some lines a decrease to less than 5 pairs of connections per day was recorded. Once the restrictions are removed, it may be a challenge to encourage passengers to use railways again. Despite the low number of connections on many routes, rail transport can still be considered as the basis of the transport system. This is due to the lack of an alternative bus service.

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Travel mode, transportation-related physical activity, and risk of overweight in Taiwanese adults

Cited by 26 publications

References 26 publications

A Review of Advancement on Influencing Factors of Acne: An Emphasis on Environment Characteristics

A Review of Advancement on Influencing Factors of Acne: An Emphasis on Environment Characteristics

Driving status, travel modes and accelerometer-assessed physical activity in younger, middle-aged and older adults: a prospective study of 90 810 UK Biobank participants

Restrictions on regional passenger transport during epidemiological threat (COVID-19) – an example of the Lower Silesian Voivodship in Poland

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