Trends in Transportation Modes and Time among Chinese Population from 2002 to 2012

Gong, Wei; Yuan, Fan; Feng, Ganyu; Ma, Yanning; Zhang, Yan; Ding, Chengri; Chen, Zheng; Liu, Ailing

doi:10.3390/ijerph17030945

Cited by 8 publications

(11 citation statements)

References 40 publications

(41 reference statements)

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“…The results show a 36.5% prevalence of AC to school. These results are similar to the 37.5% of Brazilian adolescents [ 43 ] but lower than the 54.3% of the Chinese adolescents [ 18 ]. At the national level, these results are in line with those of previous Portuguese HBSC studies (e.g., 35% in Loureiro et al [ 44 ]).…”

Section: Discussionsupporting

confidence: 81%

“…However, the prevalence of AC is low and seems to be decreasing in the last decades in several countries. For example, it decreased in China from 83.8% in 2002 to 54.3% in 2012 [ 18 ] and from 48% in 1969 to 13% in 2009 in the USA [ 19 ], with similar results in other developed countries such as Canada [ 20 ], Australia [ 21 ], Ireland [ 22 ], Spain [ 23 ], and Portugal [ 24 ].…”

Section: Introductionmentioning

confidence: 86%

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Correlates of Active Commuting to School among Portuguese Adolescents: An Ecological Model Approach

Loureiro

Grao‐Cruces

et al. 2022

IJERPH

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Active commuting to and from school can be an important contribution to improving health in adolescents. This study aimed to analyze the influence of multilevel variables of the ecological model in the active commuting of a representative sample of Portuguese adolescents. The 2018 Health Behaviour in School-Aged Children questionnaire was applied to 5695 adolescents with an average age of 15.5 years old (SD ± 1.8), 53.9% of whom were girls. The associations were studied by applying chi-square tests and multivariate logistic regression models. In this study, 36.5% of the participants reported walking or cycling to school. Active commuting to school was directly associated with age (OR = 1.2; p < 0.05), strong family support (OR = 1.2; p < 0.05), a moderate to low financial level of the family (OR = 1.3; p < 0.05) and living near the school (OR = 2.4; p < 0.05). The results revealed that an adolescent’s choice to travel to and from school using an active mode of transportation increased with strong family support. As a result, promotion campaigns should consider the adolescent’s family context.

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Section: Discussionsupporting

confidence: 81%

Section: Introductionmentioning

confidence: 86%

Correlates of Active Commuting to School among Portuguese Adolescents: An Ecological Model Approach

Loureiro

Grao‐Cruces

et al. 2022

IJERPH

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“…Active transportation decreased the risk of overweight/obesity in men but not in women. According to the research of Gong et al [18], female travel time was shorter than that of males. This may be due to insufficient walking/cycling intensity or distances, i.e., not enough to prevent obesity.…”

Section: Discussionmentioning

confidence: 99%

“…The intensity of occupation activity has been significantly reduced by scientific and technological progress, and >60% of Chinese occupational populations work with light occupation activity intensity which lead to less physical activity [17]. More and more, private cars, subways, and buses have made transportation more convenient [18]. The widespread availability of entertainment devices such as televisions, computers, and smartphones have increased sedentary behavior [19].…”

Section: Introductionmentioning

confidence: 99%

Association of Physical Activity and Sitting Time with Overweight/Obesity in Chinese Occupational Populations

et al. 2021

Self Cite

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Abstract: The aim of this study was to explore association of physical activity and sitting time with overweight/obesity in Chinese occupational populations for the development of intervention and prevention strategies for obesity. Methods: A total of 23,112 participants were selected from the 2010–2012 China National Nutrition and Health Survey (CNNHS). A logistics regression model was used to examine the associations of physical activity and sitting time with overweight/obesity by gender after adjusting for age, educational level, marital status, and family economic level. Results: The prevalence of overweight/obesity based on the WHO definition and the WGOC definition was 30.8% and 41.3%, respectively. Male employees with moderate and heavy occupation activity intensity had a lower risk for overweight/obesity than those with light occupation activity intensity (moderate: OR 0.90, 95% CI 0.82–0.98; heavy: OR 0.75, 95% CI 0.65–0.86), and the risk of overweight/obesity of male employees with long work-time spent sitting was higher than those with short work-time spent sitting (2–4.9 h/day: OR 1.26, 95% CI 1.14–1.40; ≥5 h/day: OR 1.29, 95% CI 1.15–1.44). The risk of overweight/obesity of male employees with active transportation mode was lower than those with inactive transportation mode (OR 0.91, 95% CI 0.84–0.99), while the risk of overweight/obesity of female employees with active transportation mode was higher (OR 1.14, 95% CI 1.04–1.25). Female employees with leisure-time physical activity (LTPA) for ≥150 min/week had lower risk of overweight/obesity than those with LTPA for <150 min/week (OR 0.69, 95% CI 0.56–0.84). There was no significant association of leisure-time sitting and housework time with overweight/obesity in Chinese occupational populations. Conclusion: Occupation activity intensity, LTPA, transportation mode, and work sitting time were associated with overweight/obesity. Reducing work sitting time, moderate and heavy occupation activity intensity, and an active transportation mode could help male employees decrease the risk of overweight/obesity. Increasing leisure-time physical activity could reduce the risk of overweight/obesity in women. Our findings provided insight into the association of physical activity and sitting time with overweight/obesity. It will be necessary to carry out workplace-based interventions, have an active transportation mode, and increase leisure-time physical activity to decrease the risks of overweight/obesity.

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“…The people with a high socioeconomic status also were more likely to travel using transportation that lacked PA, such as private cars, taxis, motorcycles, etc. [ 37 ]. Research also showed that the family per capita annual income was positively correlated with obesity in China [ 38 ].…”

Section: Discussionmentioning

confidence: 99%

Effects of Gene-Environment Interaction on Obesity among Chinese Adults Born in the Early 1960s

Gong

Song

et al. 2021

Genes

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The prevalence of obesity has been increasing sharply and has become a serious public health problem worldwide. Gene–environment interaction in obesity is a relatively new field, and little is known about it in Chinese adults. This study aimed to provide the effects of gene–environment interaction on obesity among Chinese adults. A stratified multistage cluster sampling method was conducted to recruit participants from 150 surveillance sites. Subjects born in 1960, 1961 and 1963 were selected. An exploratory factor analysis was used to classify the environmental factors. The interaction of single nucleotide polymorphisms (SNPs) and environmental factors on body mass index (BMI) and waist circumference were analyzed using a general linear model. A multiple logistic regression model combined with an additive model was performed to analyze the interaction between SNPs and environmental factors in obesity and central obesity. A total of 2216 subjects were included in the study (mean age, 49.7 years; male, 39.7%, female, 60.3%). Engaging in physical activity (PA) could reduce the effect of MC4R rs12970134 on BMI (β = −0.16kg/m2, p = 0.030), and also reduce the effect of TRHR rs7832552 and BCL2 rs12454712 on waist circumference (WC). Sedentary behaviors increased the effects of SNPs on BMI and WC, and simultaneously increased the effects of FTO rs9939609 and FTO rs8050136 on obesity and central obesity. A higher socioeconomic status aggravated the influence of SNPs (including FTO rs9939609, BNDF rs11030104, etc.) on BMI and WC, and aggravated the influence of SEC16B rs574367 on central obesity. The MC4R rs12970134 association with BMI and the FTO rs8050136 association with central obesity appeared to be more pronounced with higher energy intake (β = 0.140 kg/m2, p = 0.049; OR = 1.77, p = 0.004, respectively). Engaging in PA could reduce the effects of SNPs on BMI and WC; nevertheless, a higher socioeconomic status, higher dietary energy intake and sedentary behaviors accentuated the influences of SNPs on BMI, WC, obesity and central obesity. Preventative measures for obesity should consider addressing the gene–environment interaction.

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Trends in Transportation Modes and Time among Chinese Population from 2002 to 2012

Cited by 8 publications

References 40 publications

Correlates of Active Commuting to School among Portuguese Adolescents: An Ecological Model Approach

Correlates of Active Commuting to School among Portuguese Adolescents: An Ecological Model Approach

Association of Physical Activity and Sitting Time with Overweight/Obesity in Chinese Occupational Populations

Effects of Gene-Environment Interaction on Obesity among Chinese Adults Born in the Early 1960s

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