scholarly journals Effect of changes in green spaces on mental health in older adults: a fixed effects analysis

2019 ◽  
Vol 74 (1) ◽  
pp. 48-56 ◽  
Author(s):  
J Mark Noordzij ◽  
Marielle A Beenackers ◽  
Joost Oude Groeniger ◽  
Frank J Van Lenthe
Keyword(s):  
Mental Health ◽  
Fixed Effects ◽  
Green Space ◽  
Residential Environment ◽  
Green Spaces ◽  
Cross Sectional ◽  
Urban Green Spaces ◽  
Using Data ◽  
Sectional Analysis

BackgroundUrban green spaces have been linked to different health benefits, but longitudinal studies on the effect of green spaces on mental health are sparse and evidence often inconclusive. Our objective was to study the effect of changes in green spaces in the residential environment on changes in mental health using data with 10 years of follow-up (2004–2014).MethodsData from 3175 Dutch adults were linked to accessibility and availability measures of green spaces at three time points (2004/2011/2014). Mental health was measured with the Mental Health Inventory-5. Fixed effects analyses were performed to assess the effect of changes in green spaces on mental health.ResultsCross-sectional analysis of baseline data showed significant associations between Euclidean distances to the nearest green space and mental health, with an increase of 100 m correlating with a lower mental health score of approximately 0.5 (95% CI −0.87 to −0.12) on a 0–100 scale. Fixed effects models showed no evidence for associations between changes in green spaces and changes in mental health both for the entire sample as well as for those that did not relocate during follow-up.ConclusionsDespite observed cross-sectional correlations between the accessibility of green space in the residential environment and mental health, no evidence was found for an association between changes in green spaces and changes in mental health. If mental health and green spaces are indeed causally linked, then changes in green spaces in the Eindhoven area between 2004 and 2014 are not enough to produce a significant effect.

scholarly journals Association between Fruit and Vegetable Intakes and Mental Health in the Australian Diabetes Obesity and Lifestyle Cohort

Nutrients ◽  
2021 ◽  
Vol 13 (5) ◽  
pp. 1447
Author(s):  
Joanna Rees ◽  
Simone Radavelli Bagatini ◽  
Johnny Lo ◽  
Jonathan M. Hodgson ◽  
Claus T. Christophersen ◽  
...  
Keyword(s):  
Mental Health ◽  
Fruits And Vegetables ◽  
Food Group ◽  
Public Health Issue ◽  
Inverse Association ◽  
Cross Sectional ◽  
Population Average ◽  
Using Data ◽  
Sectional Analysis

Increasing prevalence of mental health disorders within the Australian population is a serious public health issue. Adequate intake of fruits and vegetables (FV), dietary fibre (DF) and resistant starch (RS) is associated with better mental and physical health. Few longitudinal studies exist exploring the temporal relationship. Using a validated food frequency questionnaire, we examined baseline FV intakes of 5845 Australian adults from the AusDiab study and estimated food group-derived DF and RS using data from the literature. Perceived mental health was assessed at baseline and 5 year follow up using SF-36 mental component summary scores (MCS). We conducted baseline cross-sectional analysis and prospective analysis of baseline dietary intake with perceived mental health at 5 years. Higher baseline FV and FV-derived DF and RS intakes were associated with better 5 year MCS (p < 0.001). A higher FV intake (754 g/d vs. 251 g/d, Q4 vs. Q1) at baseline had 41% lower odds (OR = 0.59: 95% CI 0.46–0.75) of MCS below population average (<47) at 5 year follow up. Findings were similar for FV-derived DF and RS. An inverse association was observed with discretionary food-derived DF and RS. This demonstrates the association between higher intakes of FV and FV-derived DF and RS with better 5 year mental health outcomes. Further RCTs are necessary to understand mechanisms that underlie this association including elucidation of causal effects.

scholarly journals Characterising urban green space density and accessibility in models of BMI

2019 ◽  
Author(s):  
Philip Carthy ◽  
Sean Lyons ◽  
Anne Nolan
Keyword(s):  
Weight Status ◽  
Green Space ◽  
Urban Green Space ◽  
Green Spaces ◽  
Marginal Effect ◽  
Cross Sectional ◽  
Urban Green ◽  
Urban Green Spaces ◽  
Combining Data ◽  
The Relationship

Abstract Background : While exposure to urban green spaces has been associated with various physical health benefits, the evidence linking these spaces to lower BMI, particularly among older people, is mixed. We suggest that dimensions of urban green space accessibility, which are generally unobserved in the existing literature, may be a source of this volatility in results. The aim of this study is to add to the literature on the association between urban green space and BMI by considering alternative measures of urban green space that incorporate measures of footpath availability. Methods: We conduct a cross-sectional study combining data from The Irish Longitudinal Study on Ageing and detailed land use information. We proxy respondents’ exposure to urban green spaces at their residential addresses in network buffers, which are adjusted to account for the density of local footpaths. Generalised linear models are used to test the association between exposure to accessible urban green space and BMI. Results: Relative to the third quintile, exposure to the lowest quintile of urban green space, as measured within a 1600m accessible network buffer, is associated with slightly higher BMI (marginal effect: 0.80; 95% CI: 0.16-1.44). The results, however, are not robust to small changes in how green space is measured and no statistically significant association between urban green spaces and BMI is found under other variants of our regression model. Conclusion : The relationship between urban green spaces and BMI among older adults is highly sensitive to the characterisation of local green space. Our results suggest that there are some other unobserved factors, other than footpath availability, that mediate the relationship between urban green spaces and weight status.

scholarly journals Characterising urban green space density and footpath-accessibility in models of BMI

2020 ◽  
Author(s):  
Philip Carthy ◽  
Sean Lyons ◽  
Anne Nolan
Keyword(s):  
Weight Status ◽  
Green Space ◽  
Urban Green Space ◽  
Green Spaces ◽  
Marginal Effect ◽  
Cross Sectional ◽  
Urban Green ◽  
Urban Green Spaces ◽  
Combining Data ◽  
The Relationship

Abstract Background: While exposure to urban green spaces has been associated with various physical health benefits, the evidence linking these spaces to lower BMI, particularly among older people, is mixed. We ask whether footpath availability, generally unobserved in the existing literature, may mediate exposure to urban green space and help explain this volatility in results. The aim of this study is to add to the literature on the association between urban green space and BMI by considering alternative measures of urban green space that incorporate measures of footpath availability. Methods: We conduct a cross-sectional study combining data from The Irish Longitudinal Study on Ageing and detailed land use information. We proxy respondents’ exposure to urban green spaces at their residential addresses using street-side and area buffersthat take account of the presence of footpaths. Generalised linear models are used to test the association between exposure to several measures of urban green space and BMI. Results: Relative to the third quintile, exposure to the lowest quintile of urban green space, as measured within a 1600m footpath-accessible network buffer, is associated with slightly higher BMI (marginal effect: 0.80; 95% CI: 0.16-1.44). The results, however, are not robust to small changes in how green space is measured and no statistically significant association between urban green spaces and BMI is found under other variants of our regression model. Conclusion: The relationship between urban green spaces and BMI among older adults is highly sensitive to the characterisation of local green space. Our results suggest that there are some unobserved factors other than footpath availability that mediate the relationship between urban green spaces and weight status.

scholarly journals Residential green and blue space associated with better mental health: a pilot follow-up study in university students

2018 ◽  
Vol 69 (4) ◽  
pp. 340-349 ◽  
Author(s):  
Angel M. Dzhambov
Keyword(s):  
Mental Health ◽  
Physical Activity ◽  
Urban Environment ◽  
Vegetation Index ◽  
Green Space ◽  
Future Research ◽  
Cross Sectional ◽  
Normalised Difference Vegetation Index ◽  
Anxiety Depression

AbstractPrevious research has suggested that natural urban environment (green space and blue space) benefit mental health, but only a few longitudinal studies have explored the underlying mechanisms. In this pilot study we aimed to examine mechanisms/variables mediating associations between residential green/blue space and symptoms of anxiety/depression in 109 Bulgarian students from Plovdiv university. The students were followed from the beginning to the end of the school year (October 2017 to May 2018). Residential green space was defined as the mean of the normalised difference vegetation index (NDVI) in circular buffers of 100, 300, and 500 m around their residences. Blue space was assessed based on its presence in the same buffers. Levels of anxiety/depression were assessed using the 12-item General Health Questionnaire. The investigated mediator variables included residential noise (LAeq) and air pollution (NO2), environmental annoyance, perceived restorative quality of the neighbourhood, neighbourhood social cohesion, physical activity, and sleep disturbance. Cross-sectional data (obtained at baseline) showed that higher NDVI correlated with better mental health only indirectly through higher physical activity and restorative quality. Longitudinal (follow-up) data showed improved mental health but no significant effect of mediator variables. Similarly, blue space correlated with better mental health in all models, but physical activity and restorative quality were significant mediator variables only in the cross-sectional analysis. Our findings support that green space and blue space are psychologically restorative features in urban environment. Future research should replicate these findings in the general population and employ longitudinal modelling tailored to the specific mechanisms under study.

scholarly journals A Walk in the Park: Models of BMI with Green Space Density and Footpaths

2019 ◽  
Author(s):  
Philip Carthy ◽  
Sean Lyons ◽  
Anne Nolan
Keyword(s):  
Weight Status ◽  
Green Space ◽  
Linear Models ◽  
Green Spaces ◽  
Marginal Effect ◽  
Partial Explanation ◽  
Cross Sectional ◽  
Urban Green Spaces ◽  
Combining Data ◽  
The Relationship

Abstract Background : While exposure to urban green spaces has been associated with various physical health benefits, the evidence linking these spaces to lower BMI, particularly among older people, is mixed. We suggest that dimensions of green space accessibility, which are generally unobserved in the existing literature, may be a source of this volatility in results. Methods: We conduct a cross-sectional study combining data from The Irish Longitudinal Study on Ageing and detailed land use information. We proxy respondents’ exposure to green spaces at their residential addresses in network buffers, which are adjusted to account for the density of local footpaths. Generalised linear models are used to test the association between exposure to accessible green space and BMI. Results: Relative to the third quintile, exposure to the two lowest quintiles of green space, as measured within a 1600m accessible network buffer, is associated with slightly higher BMI (marginal effect for lowest quintile: 0.88; 95% CI: 0.24-1.53; marginal effect for second quintile: 0.61; 95% CI: 0.02-1.2). The results, however, are not robust to small changes in how green space is measured and no statistically significant association between green spaces and BMI is found under other variants of our regression model. Conclusion : The relationship between green spaces and BMI among older adults is highly sensitive to the characterisation of local green space. While footpath availability offers a partial explanation to some unintuitive empirical results previously found in the literature, our results suggest that there remains some other unobserved factor which mediates the relationship between green spaces and weight status.

scholarly journals Characterising urban green space density and footpath-accessibility in models of BMI

2020 ◽  
Author(s):  
Philip Carthy ◽  
Sean Lyons ◽  
Anne Nolan
Keyword(s):  
Weight Status ◽  
Green Space ◽  
Urban Green Space ◽  
Green Spaces ◽  
Marginal Effect ◽  
Cross Sectional ◽  
Urban Green ◽  
Urban Green Spaces ◽  
Combining Data ◽  
The Relationship

Abstract Background: While exposure to urban green spaces has been associated with various physical health benefits, the evidence linking these spaces to lower BMI, particularly among older people, is mixed. We ask whether footpath availability, generally unobserved in the existing literature, may mediate exposure to urban green space and help explain this volatility in results. The aim of this study is to add to the literature on the association between urban green space and BMI by considering alternative measures of urban green space that incorporate measures of footpath availability. Methods: We conduct a cross-sectional study combining data from The Irish Longitudinal Study on Ageing and detailed land use information. We proxy respondents’ exposure to urban green spaces at their residential addresses using street-side and area buffers that take account of the presence of footpaths. Generalised linear models are used to test the association between exposure to several measures of urban green space and BMI. Results: Relative to the third quintile, exposure to the lowest quintile of urban green space, as measured within a 1600m footpath-accessible network buffer, is associated with slightly higher BMI (marginal effect: 0.80; 95% CI: 0.16-1.44). The results, however, are not robust to small changes in how green space is measured and no statistically significant association between urban green spaces and BMI is found under other variants of our regression model. Conclusion: The relationship between urban green spaces and BMI among older adults is highly sensitive to the characterisation of local green space. Our results suggest that there are some unobserved factors other than footpath availability that mediate the relationship between urban green spaces and weight status.

Are neighborhood restaurants related to frequency of restaurant meals and dietary quality?: Prevalence and changes over time in the Multi-Ethnic Study of Atherosclerosis

2021 ◽  
pp. 1-29
Author(s):  
Amy H. Auchincloss ◽  
Jingjing Li ◽  
Kari A. B. Moore ◽  
Manuel Franco ◽  
Mahasin S. Mujahid ◽  
...  
Keyword(s):  
Healthy Eating Index ◽  
Dietary Quality ◽  
Longitudinal Analyses ◽  
Cross Sectional ◽  
Cross Sectional Analysis ◽  
Eating Out ◽  
Restaurant Meals ◽  
Sectional Analysis ◽  
Over Time

Abstract Objective: To examine whether the density of neighbourhood restaurants affected the frequency of eating restaurant meals and subsequently affected diet quality. Design: Cross-sectional and longitudinal designs. Structural equation models assessed the indirect relationship between restaurant density (≤3 miles (4.8 km) of participant addresses) and dietary quality (Healthy Eating Index 2010 (HEI)) via the frequency of eating restaurant meals, after adjustment for sociodemographics, select health conditions, region, residence duration and area-level income. Setting: Urbanised areas in multiple regions of the USA, years 2000–2002 and 2010–2012. Participants: Participants aged 45–84 years were followed for 10 years (n 3567). Results: Median HEI (out of 100) was 59 at baseline and 62 at follow-up. Cross-sectional analysis found residing in areas with a high density of restaurants (highest ranked quartile) was associated with 52% higher odds of frequently eating restaurant meals (≥3 times/week, odds ratio [OR]:1.52, 95% confidence interval [CI] 1.18-1.98) and 3% higher odds of having lower dietary quality (HEI lowest quartile<54, OR:1.03,CI:1.01-1.06); associations were not sustained in longitudinal analyses. Cross-sectional analysis found 34% higher odds of having lower dietary quality for those who frequently ate at restaurants (OR:1.34,CI:1.12-1.61); and more restaurant meals (over time increase ≥1 times/week) was associated with higher odds of having worse dietary quality at follow-up (OR:1.21,CI:1.00-1.46). Conclusions: Restaurant density was associated with frequently eating out in cross-sectional and longitudinal analyses but was associated with the lower dietary quality only in cross-sectional analyses. Frequent restaurant meals were negatively related to dietary quality. Interventions that encourage less frequent eating out may improve population dietary quality.

scholarly journals Cross-sectional analysis of follow-up chest MRI and chest CT scans in patients previously affected by COVID-19

2021 ◽  
Author(s):  
Martina Pecoraro ◽  
Stefano Cipollari ◽  
Livia Marchitelli ◽  
Emanuele Messina ◽  
Maurizio Del Monte ◽  
...  
Keyword(s):  
Chest Ct ◽  
Ct Scans ◽  
Imaging Biomarker ◽  
Cross Sectional ◽  
Mri Scans ◽  
Magnetic Resonance Imaging Mri ◽  
Sectional Analysis ◽  
Ct And Mri ◽  
Interlobular Septal Thickening

Abstract Purpose The aim of the study was to prospectively evaluate the agreement between chest magnetic resonance imaging (MRI) and computed tomography (CT) and to assess the diagnostic performance of chest MRI relative to that of CT during the follow-up of patients recovered from coronavirus disease 2019. Materials and methods Fifty-two patients underwent both follow-up chest CT and MRI scans, evaluated for ground-glass opacities (GGOs), consolidation, interlobular septal thickening, fibrosis, pleural indentation, vessel enlargement, bronchiolar ectasia, and changes compared to prior CT scans. DWI/ADC was evaluated for signal abnormalities suspicious for inflammation. Agreement between CT and MRI was assessed with Cohen’s k and weighted k. Measures of diagnostic accuracy of MRI were calculated. Results The agreement between CT and MRI was almost perfect for consolidation (k = 1.00) and change from prior CT (k = 0.857); substantial for predominant pattern (k = 0.764) and interlobular septal thickening (k = 0.734); and poor for GGOs (k = 0.339), fibrosis (k = 0.224), pleural indentation (k = 0.231), and vessel enlargement (k = 0.339). Meanwhile, the sensitivity of MRI was high for GGOs (1.00), interlobular septal thickening (1.00), and consolidation (1.00) but poor for fibrotic changes (0.18), pleural indentation (0.23), and vessel enlargement (0.50) and the specificity was overall high. DWI was positive in 46.0% of cases. Conclusions The agreement between MRI and CT was overall good. MRI was very sensitive for GGOs, consolidation and interlobular septal thickening and overall specific for most findings. DWI could be a reputable imaging biomarker of inflammatory activity.

scholarly journals Socioeconomic Differences in Walking Time of Children and Adolescents to Public Green Spaces in Urban Areas—Results of the German Environmental Survey (2014–2017)

2021 ◽  
Vol 18 (5) ◽  
pp. 2326
Author(s):  
Julia Rehling ◽  
Christiane Bunge ◽  
Julia Waldhauer ◽  
André Conrad
Keyword(s):  
Young People ◽  
Children And Adolescents ◽  
Urban Areas ◽  
Green Space ◽  
Positive Impact ◽  
Green Spaces ◽  
Environmental Survey ◽  
Urban Green Spaces ◽  
Public Green Space ◽  
Walking Time

Public green spaces have a high potential for a positive impact on people’s health and wellbeing, especially in urban areas. Studies on environmental justice indicate socially unequal access possibilities to urban green spaces. This article presents results on associations between individual socioeconomic position (SEP) and walking time from home to public green spaces in young people living in urban areas with more than 20,000 inhabitants in Germany. Data were derived from the German Environmental Survey for Children and Adolescents 2014–2017 (GerES V), the environmental module of the German Health Interview and Examination Survey for Children and Adolescents (KiGGS Wave 2). The sample comprises 1149 participants aged 3 to 17 years. A total of 51.5% of the participants reach a public green space on foot within five and 72.8% within ten minutes from home. The lower the participant’s SEP, the longer the walking time. Logistic regression models controlling for age group, sex, migration background, and region of residence show that participants with a low SEP have a significantly higher risk (odds ratio = 1.98; 95% confidence interval: 1.31–2.99) of needing more than ten minutes to walk from home to a public green space than participants with a high SEP. GerES V data indicate that young people living in urban areas in Germany do not equally benefit from the health-promoting potential of green spaces, which is an important aspect of environmental health inequalities.

scholarly journals Comparison of healthcare resource utilization and medical costs between patients with seropositive and seronegative rheumatoid arthritis

2021 ◽  
Vol 13 ◽  
pp. 1759720X2110248
Author(s):  
Hyoungyoung Kim ◽  
Soo-Kyung Cho ◽  
Seongmi Choi ◽  
Seul Gi Im ◽  
Sun-Young Jung ◽  
...  
Keyword(s):  
Rheumatoid Arthritis ◽  
Quantile Regression ◽  
Healthcare Utilization ◽  
Medical Costs ◽  
Healthcare Resource Utilization ◽  
Medical Utilization ◽  
Cross Sectional ◽  
Direct Medical Costs ◽  
Using Data ◽  
Sectional Analysis

Objectives: To compare healthcare utilization and medical costs between patients with seronegative (SN) and seropositive (SP) rheumatoid arthritis (RA). Methods: We conducted a nationwide population study using the Korean health insurance claims database in 2016. We divided patients with RA into SN and SP groups and compared healthcare utilization including medications, medical utilization, and direct medical costs for 1 year between the groups in a cross-sectional analysis. Differences in costs between patients with SPRA and SNRA were assessed using the quantile regression model. We performed longitudinal analysis using data from 2012 and 2016 to examine changes over time. Results: A total of 103,815 SPRA and 75,809 SNRA patients were included in the analyses. The SPRA group used significantly more methotrexate (73.2% versus 30.3%) and biologic agents (7.9% versus 2.9%) than the SNRA group. The number of RA-related outpatient visits [6.0 ± 3.7 versus 4.4 ± 4.0 times/year, standardized difference (SD) = 0.41] and annual medical costs per patient ($1027 versus $450/year, SD = 0.25) were higher in the SPRA group than the SNRA group. Quantile regression results indicated that the incremental cost of seropositivity on total medical costs of RA patients gradually increased as medical costs approached the upper quantile. The annual direct medical costs for each patient between 2012 and 2016 increased in both groups: by 25.1% in the SPRA group and 37.6% in the SNRA group. Conclusion: Annual RA-related direct medical costs and RA-related healthcare utilization per patient are higher in patients with SPRA than those with SNRA.

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