Abstract:Background: Increased dependence on motorized transportation may contribute to obesity.Countries in rapid socioeconomic transitions, such as China, provide an opportunity to investigate such an association.Purpose: The aim of the study was to examine the hypotheses that increased dependence on motorized transportation is related to adiposity and that this effect will be more pronounced in adults with high SES or those who live in urban regions.
Methods:Data from the longitudinal China Health and Nutrition Surv… Show more
“…The level of education had opposite effects on BMI for men and women, with a positive association in men and a negative association in women, which is consistent with previous research 32. In addition, higher income, drinking and owning a motorcycle were associated with higher BMI,33 while smoking was associated with lower BMI, which was only significant among men. On the other hand, age was a primarily significant predictor among women, such that older rural women had a higher BMI than younger women.…”
ObjectivesThe neighbourhood availability of restaurants has been linked to the weight status. However, little is known regarding the relation between access to restaurant and obesity among the Chinese population. This study aims to explore the relationship between neighbourhood restaurant density and body mass index (BMI) in rural China.DesignA longitudinal study using data from the China Health and Nutrition Survey (CHNS) was conducted. Participants aged 18 and older from the 2004, 2006, 2009 and 2011 CHNS were recruited Separate sex-stratified random intercept-slope growth models of repeated BMI observations were estimated in the study.SettingThe data were derived from rural communities in nine provinces in China.ParticipantsThere were 11 835 male and 12 561 female person-years assessed in this study.OutcomesThe primary outcome of this study was weight status. It is defined as a BMI value, a continuous variable which is calculated by dividing weight (kg) by the square of height (m2).ResultsThe study indicated that among men an increase of one indoor restaurant in the neighbourhood was associated with a 0.01 kg/m2 increase in BMI, and an increase of one fixed outdoor food stall was associated with a 0.01 kg/m2 decrease in BMI, whereas among women, an increase of one indoor restaurant in the neighbourhood was associated with a 0.005 kg/m2 increase in BMI, and an increase of one fast-food restaurant and one fixed outdoor food stall was associated with a 0.02 and 0.004 kg/m2 decline in BMI, respectively.ConclusionsThe density of neighbourhood restaurants was found to be significantly related to BMI in rural China. The results indicated that providing healthy food choices and developing related public health policies are necessary to tackle obesity among rural Chinese adults.
“…The level of education had opposite effects on BMI for men and women, with a positive association in men and a negative association in women, which is consistent with previous research 32. In addition, higher income, drinking and owning a motorcycle were associated with higher BMI,33 while smoking was associated with lower BMI, which was only significant among men. On the other hand, age was a primarily significant predictor among women, such that older rural women had a higher BMI than younger women.…”
ObjectivesThe neighbourhood availability of restaurants has been linked to the weight status. However, little is known regarding the relation between access to restaurant and obesity among the Chinese population. This study aims to explore the relationship between neighbourhood restaurant density and body mass index (BMI) in rural China.DesignA longitudinal study using data from the China Health and Nutrition Survey (CHNS) was conducted. Participants aged 18 and older from the 2004, 2006, 2009 and 2011 CHNS were recruited Separate sex-stratified random intercept-slope growth models of repeated BMI observations were estimated in the study.SettingThe data were derived from rural communities in nine provinces in China.ParticipantsThere were 11 835 male and 12 561 female person-years assessed in this study.OutcomesThe primary outcome of this study was weight status. It is defined as a BMI value, a continuous variable which is calculated by dividing weight (kg) by the square of height (m2).ResultsThe study indicated that among men an increase of one indoor restaurant in the neighbourhood was associated with a 0.01 kg/m2 increase in BMI, and an increase of one fixed outdoor food stall was associated with a 0.01 kg/m2 decrease in BMI, whereas among women, an increase of one indoor restaurant in the neighbourhood was associated with a 0.005 kg/m2 increase in BMI, and an increase of one fast-food restaurant and one fixed outdoor food stall was associated with a 0.02 and 0.004 kg/m2 decline in BMI, respectively.ConclusionsThe density of neighbourhood restaurants was found to be significantly related to BMI in rural China. The results indicated that providing healthy food choices and developing related public health policies are necessary to tackle obesity among rural Chinese adults.
“…Greener neighborhoods with low residential density may be less supportive of active transport and more oriented towards motorized transport. Use of motorized transportation may be linked to weight gain [62]. Conversely, in high residential density neighborhoods, many destinations are easily accessed since located at shorter distance, and parking a car may be more difficult therefore encouraging active transportation (e.g., walking, cycling, public transport) [21].…”
BackgroundObesity-related lifestyle behaviors usually co-exist but few studies have examined their simultaneous relation with body weight. This study aimed to identify the hierarchy of lifestyle-related behaviors associated with being overweight in adults, and to examine subgroups so identified.MethodsData were obtained from a cross-sectional survey conducted across 60 urban neighborhoods in 5 European urban regions between February and September 2014. Data on socio-demographics, physical activity, sedentary behaviors, eating habits, smoking, alcohol consumption, and sleep duration were collected by questionnaire. Participants also reported their weight and height. A recursive partitioning tree approach (CART) was applied to identify both main correlates of overweight and lifestyle subgroups.ResultsIn 5295 adults, mean (SD) body mass index (BMI) was 25.2 (4.5) kg/m2, and 46.0 % were overweight (BMI ≥25 kg/m2). CART analysis showed that among all lifestyle-related behaviors examined, the first identified correlate was sitting time while watching television, followed by smoking status. Different combinations of lifestyle-related behaviors (prolonged daily television viewing, former smoking, short sleep, lower vegetable consumption, and lower physical activity) were associated with a higher likelihood of being overweight, revealing 10 subgroups. Members of four subgroups with overweight prevalence >50 % were mainly males, older adults, with lower education, and living in greener neighborhoods with low residential density.ConclusionSedentary behavior while watching television was identified as the most important correlate of being overweight. Delineating the hierarchy of correlates provides a better understanding of lifestyle-related behavior combinations which may assist in targeting preventative strategies aimed at tackling obesity.
“…3 Also, the level of physical activity during work and leisure time has declined. 4 In short, dietary changes after these economic reforms have been accompanied by a rise in diseases related to affluence. 5,6 Child-growth assessments are useful not only for monitoring a population's nutritional status, but also for gauging inequalities in human development among different populations.…”
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