Objectively-measured neighborhood environments and leisure-time physical activity in Chinese urban elders

Cerin, Ester; Lee, Ka-yiu; Barnett, Anthony; Sit, Cindy H.P.; Cheung, Man-chin; Chan, Wai‐Man

doi:10.1016/j.ypmed.2012.10.024

Cited by 132 publications

(136 citation statements)

References 16 publications

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“…Several recent cross-sectional quantitative studies generally appear to support this theory, albeit with caveats [13,15,17]. Our study provides further support that disorder and activity are inversely associated after controlling for salient factors.…”

Section: Discussionsupporting

confidence: 80%

“…However, the quantitative evidence base that physical disorder acts as such a barrier is limited. Moreover, only a few studies have examined disorder in relation to activity specifically among older adults [13][14][15][16][17][18]. Furthermore, to the best of our knowledge, all prior studies of neighborhood disorder and physical activity among older adults have been crosssectional.…”

Section: Introductionmentioning

confidence: 99%

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Neighborhood Disorder and Physical Activity among Older Adults: A Longitudinal Study

et al. 2017

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Neighborhood physical disorder-the visual indications of neighborhood deterioration-may inhibit outdoor physical activity, particularly among older adults. However, few previous studies of the association between neighborhood disorder and physical activity have focused on this sensitive population group, and most have been cross-sectional. We examined the relationship between neighborhood physical disorder and physical activity, measured using the Physical Activity Scale for the Elderly (PASE), in a three-wave longitudinal study of 3497 New York City residents aged 65-75 at baseline weighted to be representative of the older adult population of New York City. We used longitudinal mixed linear regression controlling for a number of individual and neighborhood factors to estimate the association of disorder with PASE score at baseline and change in PASE score over 2 years. There were too few subjects to assess the effect of changes in disorder on activity levels. In multivariable mixed regression models accounting for individual and neighborhood factors; for missing data and for loss to followup, each standard deviation increase in neighborhood disorder was associated with an estimated 2.0 units (95% CI 0.3, 3.6) lower PASE score at baseline, or the equivalent of about 6 min of walking per day. However, physical disorder was not related to changes in PASE score over 2 years of follow-up. In this ethnically and socioeconomically diverse population of urban older adults, residents of more disordered neighborhoods were on average less active at baseline. Physical disorder was not associated with changes in overall physical activity over time.

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Section: Discussionsupporting

confidence: 80%

Section: Introductionmentioning

confidence: 99%

Neighborhood Disorder and Physical Activity among Older Adults: A Longitudinal Study

et al. 2017

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“…Second, elders living in more cohesive communities may receive more instrumental and affective support (16), which are resources that can contribute to SWB (49,51). Third, neighborhood social cohesion and social interaction may promote physical activity among elders (45,54). Previous studies (48,55) and our study have found physical activity to be positively associated with SWB.…”

Section: Discussionmentioning

confidence: 51%

“…Neighborhood aesthetic quality has been shown to influence health behaviors such as physical activity (44,45) and fruit and vegetable consumption (46). Another study in Taiwan (47) found that high fruit and vegetable consumption combined with high LTPA could reduce the likelihood of developing new depressive symptoms among elders.…”

Section: Discussionmentioning

confidence: 99%

Relationships between neighborhood attributes and subjective well-being among the Chinese elderly: Data from Shanghai

Gao

Weaver

et al. 2017

BST

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“…Findings may be limited due to self-reporting and respondents may potentially susceptible to pressure and bias. It is important to include objective measurements [62][63][64][65][66][67]. Sleep monitor machine would help measuring the sleep quality to increase reliability and accuracy of the preliminary findings and add further insight into the sleeping patterns among student-athletes of secondary schools.…”

Section: Discussionmentioning

confidence: 99%

Factors Affecting Sleep Quality among Adolescent Athletes

Lo¹,

Leung²,

Chau³

et al. 2017

Sports Nutr Ther

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Objectives: This study used a cross-sectional experimental design to examine the association between sleep quality and sports performance among adolescent recreation team-sports athletes in Hong Kong. By investigating the factors that affect sleep quality, it intended to arouse awareness of coaches and athletes the importance of sleeping so that they can improve training and competition performance.Methods: Hundred and twelve male and female participants with age range from 12 to 17 were involved in this study. A One-way ANCOVA model was designed to analyze the relationships among sleep quality and five factors (consume of caffeine or alcohol, extreme mood, sleeping environment, anxiety due to academic, and anxiety due to sports) and multiple regression analysis was adopted to predict the sleep quality through the coefficient of those variables.Results: Consumption of drinks or food that contained caffeine or alcohol, experiencing extreme mood such as shock or being too excited before sleep and having a bright and noisy sleeping environment affected the sleep quality. Most student athletes were struggling between academic results and sports in Hong Kong. The results had shown that nervousness due to academic was another factor that affected sleep quality. It has also found that not only academic results could affect sleep quality of student-athletes, but also nervousness due to sports could also be another thrilling factor. There were significance effects among factors in "drinking/eating drinks/food which contains caffeine or alcohol", "poor sleeping environment", "sleeping duration", and "self-rated sleep quality". Conclusion:The preliminary findings provide evidence that majority of secondary student-athletes are suffering from inadequate sleep due to dreadful sleeping qualities, which caused adverse conditions both physically and psychologically, and brought worst impacts to training and competitions performance. It is recommended that sleep hygiene could be promoted to coaches and athletes to enrich their knowledge of having better sleeping patterns. Much needed evidence regarding relationships of different aspects such as brain wave, sleeping patterns, injuries, diet, and the possible effects on sleep quality.

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Objectively-measured neighborhood environments and leisure-time physical activity in Chinese urban elders

Cited by 132 publications

References 16 publications

Neighborhood Disorder and Physical Activity among Older Adults: A Longitudinal Study

Neighborhood Disorder and Physical Activity among Older Adults: A Longitudinal Study

Relationships between neighborhood attributes and subjective well-being among the Chinese elderly: Data from Shanghai

Factors Affecting Sleep Quality among Adolescent Athletes

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