What are the associations between neighbourhood walkability and sedentary time in New Zealand adults? The URBAN cross-sectional study

Hinckson, Erica; Cerin, Ester; Mavoa, Suzanne; Smith, Melody; Badland, Hannah; Witten, Karen; Kearns, Robin; Schofield, Grant

doi:10.1136/bmjopen-2017-016128

Cited by 20 publications

(14 citation statements)

References 28 publications

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“…The environmental attributes were assessed using a previously developed self-report instrument with known measurement properties (19,26,27). Some recent research using objectively-assessed measures of the built environment has failed to observe significant associations with accelerometerassessed sedentary time (16,18). Further comparative research is needed to determine whether differential associations are observed between perceptions and objectively-assessed built environment features with sedentary behaviors.…”

Section: Accepted Manuscript 17mentioning

confidence: 99%

“…While there is some evidence suggesting potential associations between perceptions of the built environment and sitting time, a recent review concluded that the pattern of associations within the published studies was modest and inconsistent (15). In addition, some more recent studies assessing associations between objective measures of the environment and sedentary time have failed to identify significant associations (16)(17)(18). The inconsistent relationships between environmental attributes and sedentary behavior may be because such relationships A C C E P T E D M A N U S C R I P T 4 are less direct and strong than are those for physical activity.…”

Section: Introductionmentioning

confidence: 99%

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Associations of neighborhood environmental attributes with adults' objectively-assessed sedentary time: IPEN adult multi-country study

Owen

Sugiyama

Koohsari

et al. 2018

Preventive Medicine

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Neighborhood environmental attributes have been found to be associated with residents' time spent walking and in physical activity, in studies from single countries and in multiple-country investigations. There are, however, mixed findings on such environmental relationships with sedentary (sitting) time, which primarily have used evidence derived from single-country investigations with self-reported behavioral outcome measures. We examined potential relationships of neighborhood environmental attributes with objectively-assessed sedentary time using data from 5712 adults recruited from higher and lower socio-economic status neighborhoods in 12 sites in 10 countries, between 2002 and 2011. Ten perceived neighborhood attributes, derived from an internationally-validated scale, were assessed by questionnaire. Sedentary time was derived from hip-worn accelerometer data. Associations of individual environmental attributes and a composite environmental index with sedentary time were estimated using generalized additive mixed models. In fully adjusted models, higher street connectivity was significantly related to lower sedentary time. Residential density, pedestrian infrastructure and safety, and lack of barriers to walking were related to higher sedentary time. Aesthetics and safety from crime were related to less sedentary time in women only. The predicted difference in sedentary time between those with the minimum versus maximum composite environmental index values was 71 min/day. Overall, certain built environment attributes, including street connectivity, land use mix and aesthetics were found to be related to sedentary behavior in both expected and unexpected directions. Further research using context-specific measures of sedentary time is required to improve understanding of the potential role of built environment characteristics as influences on adults' sedentary behavior.

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Section: Accepted Manuscript 17mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Associations of neighborhood environmental attributes with adults' objectively-assessed sedentary time: IPEN adult multi-country study

Owen

Sugiyama

Koohsari

et al. 2018

Preventive Medicine

Self Cite

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“…However, longitudinal study with adults from Nerima and Kanuma cities, in Japan, did not find association between screen time and access to different types of destinations [28]. In addition, studies conducted with adults from high-income countries like New Zealand, Belgian, and Netherlands that evaluated sedentary behavior by accelerometers did not find significant association with built environment variables [29,30] or found positive association, showing that people who lived in places with better walkability, for example, had more minutes of sitting time, a result that not was expected [17].…”

Section: Resultsmentioning

confidence: 94%

Mix Of Destinations And Sedentary Behavior Among Brazilian Adults

Florindo

Turrel

Garcia

et al. 2020

Preprint

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Background: Sedentary behavior is influenced by contextual, social and individual factors, including the built environment. However, the associations between the built environment and sitting time have not been extensively investigated in countries with economies in transition such as Brazil. The objective of this study is to examine the relationship between sitting-time and access to a mix of destinations for adults from Sao Paulo city, Brazil.Methods: This study uses data from the Sao Paulo Health Survey (n=3,145). Sedentary behavior was assessed by questionnaire using two questions: total sitting time in minutes on a usual weekday; and on a usual weekend day. Mix of destinations was measured by summing the number of facilities (comprising bus stops, train/subway stations, parks, squares, public recreation centres, bike paths, primary health care units, supermarkets, food stores, bakeries, and coffee-shops) within 500m of each participant's residence. Linear and categorical (<4, ≥4 hours/day) measures of sitting time were derived and analyzed using linear and logistic multilevel regression. Models accounted for clustering within census-tracts and households, were stratified by gender, and adjusted for environmental, sociodemographic, and health-related factors.Results: Average minutes of sitting, and the likelihood of sitting for more than four hours, were significantly higher among males, younger people, the more educated, single persons, smokers, those who engaged in low levels of physical activity, the obese and those with chronic disease, and those who owned a private motor vehicle. Among females, mix of destinations was inversely related with minutes of sitting time on a weekday (β= -11 minutes; p=0.001) and weekend day (β= -8 minutes;p=0.012). Females who had a higher mix of destinations within their residential catchment had a significantly lower likelihood of sitting for four hours or more on weekdays (OR=0.66 IC95%0.47-0.94). No significant associations were found for males.Conclusion: This is the first-known study to examine the relationship between mix of destinations and sedentary behavior among adults in Sao Paulo City, Brazil. Our results suggest that health promotion and policy should focus on reducing sedentary behavior in the whole population, and especially those groups who engage in higher-levels of sitting time. 4

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“…In modern cities and public living areas that we have built with our own hands, vehicles and buildings are mostly included. As a result, people's activities, such as walking, cycling, and climbing, are severely restricted (12). We spend most of our daily life in our cars on the way to work, shopping and even to gyms.…”

Section: Discussionmentioning

confidence: 99%

Longevity Compliance Scale

Belice¹

2020

Preprint

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Abstract Objectives Nine common characteristics of Blue Zone regions (Power 9) are having a natural movement pattern, having an ikigai (a reason for being), being able to cope with stress, being able to stop eating before being full, eating a predominantly plant-based diet, drinking wine regularly, having a sense of belonging, strong family ties and strong social bonds. In the present study, we investigated the relationship of Power 9 characteristics with age and gender using the 'Longevity Compliance Scale' that we have recently developed. Methods Data were collected by administering the online 'Longevity Compliance Scale' (nine questions of 5-point Likert scale type) to 490 participants. SPSS was used for calculations. Results Cronbach's alpha value was found to be 0.763 (76.3%). Kaiser–Meyer–Olkin coefficient was 83%, and the factor analysis test provided high reliability (0.830 > 0.750). The total score was higher in female and elderly participants (Hedges' g: 0.046643, 95% Cls: 1.152-4.517, p:0.01). Conclusion We found that longevity compliance developed predominantly in female and elderly participants. These results may vary across regions and cultures; thus, they cannot be generalized. However, it is crucial to demonstrate the effect of the nine common dominant points, which have been found after extensive studies conducted for many years. These nine points could be critical factors associated with longevity. It might provide us with tips to prolong our lives and help us stay healthy. Knowledge and experience accumulated as a result of aging, especially in women, may, instinctively or consciously, enhance compliance with the codes for longevity.

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What are the associations between neighbourhood walkability and sedentary time in New Zealand adults? The URBAN cross-sectional study

Cited by 20 publications

References 28 publications

Associations of neighborhood environmental attributes with adults' objectively-assessed sedentary time: IPEN adult multi-country study

Associations of neighborhood environmental attributes with adults' objectively-assessed sedentary time: IPEN adult multi-country study

Mix Of Destinations And Sedentary Behavior Among Brazilian Adults

Longevity Compliance Scale

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