Longitudinal Association of Built Environment Pattern with Physical Activity in a Community-Based Cohort of Elderly Hong Kong Chinese: A Latent Profile Analysis

Prevalence of depressive and anxiety symptoms and their relationship with life-threatening events, tobacco dependence and hazardous alcohol drinking: a population-based study in the Brazilian Amazon

BACKGROUND

The burden of mental health disorders is high and may be particularly alarming in developing countries. We assessed the prevalence of depressive and anxiety symptoms and their relationship with life-threatening events, tobacco dependence, and hazardous alcohol drinking in the Brazilian Amazon.

METHODS

Cross-sectional population-based study conducted in Manaus in 2019 with adults selected by probabilistic sampling. Depressive symptoms were measured by the PHQ-9 instrument (cut-off ≥9) and anxiety symptoms by the GAD-7 scale (cut-off ≥10). Prevalence ratios (PRs) of depressive and anxiety symptoms were calculated by Poisson regression with robust variance with 95% confidence intervals (CI) following a hierarchical model. Partial least squares structural equation modeling was used to investigate the relationship between the outcomes and risk behaviors.

RESULTS

Out of the 2,321 participants, 24.3% (95%CI 22.2-26.5%) had depressive and 21.6% (95%CI 19.6-23.7%) had anxiety symptoms. Depressive symptoms were more frequent in women (PR=1.32; 95%CI 1.08-1.61), lower social class (PR=1.59; 95%CI 1.11-2.27), life-threatening events (PR=2.66; 95%CI 2.00-3.54), tobacco dependence (PR=1.84; 95%CI 1.37-2.47), worse health statuses (p<0.001), and chronic diseases (PR=1.63; 95%CI 1.33-2.00), but were lower in older adults (p=0.014). Anxiety symptoms were higher in women (PR=1.74; 95%CI 1.42-2.14), lower educational levels (PR=2.19; 95%CI 1.38-3.47), evangelical individuals (PR=1.28; 95%CI 1.05-1.57), having no religion (PR=1.72; 95%CI 1.24-2.38), life-threatening events (PR=3.26; 95%CI 2.41-4.41), tobacco dependence (PR=1.53; 95%CI 1.09-2.16), worse health statuses (p<0.001), and chronic diseases (PR=1.77; 95%CI 1.40-2.25). Depressive symptoms, anxiety symptoms, and life-threatening events were directly correlated with one another, while tobacco dependence and hazardous alcohol drinking were significantly intercorrelated (p<0.05).

LIMITATIONS

Cross-sectional design limits the assessment of causality. Recall bias was possible as responses were self-reported. GAD-7 scale was not validated in the Brazilian population.

CONCLUSION

Nearly a quarter of the population had depressive symptoms and one-fifth presented anxiety symptoms, which were associated with socioeconomic, behavioral, and health-related factors. Implementation of social well-being policies is required to minimize the burden of mental health disorders in the Amazonian population.

Adolescent's movement behaviors and built environment: a latent class analysis

BACKGROUND

Latent class analysis (LCA) is an alternative and innovative approach to verify the relation of the various combinations of the constructed environment and movement behavior (levels of physical activity, sedentary behavior, and sleep) characteristics. This study aimed to identify latent classes based on the characteristics of the neighborhood environment perceived by adolescents and their association with gender, socioeconomic status (SS), body composition and movement behaviors.

METHODS

This cross-sectional study includes 309 Brazilian adolescents (14 to 16 years old, 57% female). The characteristics of the neighborhood environment perceived were analyzed by the Neighborhood Walkability for Youth Scale. Accelerometers were used for a week to evaluate the movement behaviors. Questionnaires assessed the screen times, total sitting time (TST), and sociodemographic characteristics. LCA was used for modeling the "Perceived Enviroment" variable, having been conducted in the poLCA (Polychromous Variable Latent Class Analysis) package of the R statistical software.

RESULTS

Three classes were recognized: class 1, "Best Perceived Environment" with 23.03% of adolescents; class 2, "Moderate Perceived Environment", 63.33%; and class 3, "Worst Perceived Environment", 13.67%. Light physical activity (LPA), TST, and SS were associated with class prevalence. The adolescents with medium and low SS were, respectively, 3.42 (95% CI 1.62-7.21) and 4.18 (95% CI 1.66-10.50) more likely to belong to class 2, and those with low SS were 5.21 (95% CI 1.35-20.13) more likely to belong to class 3. Class 1 adolescents were associated with a lower chance (OR: 0.09, 95% CI 0.02-0.55) of involvement in 'adequate LPA time' compared to class 3. Class 1 adolescents were associated with a lower chance (OR: 0.31, 95% CI 0.12-0.79) of involvement in 'adequate TST' compared to class 2. There was a difference between the LPA and TST classes; class 3 presented a longer time in LPA than class 1; class 1 had higher TST than the other classes.

CONCLUSION

The findings highlight the influence of neighborhood classes on adolescents' LPA and TST.

Association of green space with bone mineral density change and incident fracture in elderly Hong Kong Chinese: Mr. OS and Ms. OS study

BACKGROUND

A large body of literature has reported positive effects of green space (GS) on various aspects of health and well-being, while no studies explore the role of GS in bone health.

OBJECTIVES

The present study aimed to investigate the associations of GS with bone mineral density (BMD) change and incident fracture in a prospective cohort of elderly Hong Kong Chinese.

METHODS

Between 2001 and 2003, 3944 participants aged 65 years and older at baseline were recruited. GS (%) within 300-m and 500-m buffers were calculated for each participant based on the Normalized Difference Vegetation Index. BMD at whole body, lumbar spine, total hip, and femoral neck were assessed by dual energy X-ray absorptiometry at baseline and 3 follow-ups. Incident fracture cases were ascertained from the electronic database of Hospital Authority of Hong Kong. Linear mixed-effects models and Cox proportional hazards models were used to investigate the associations of GS with changes in BMD and incident fracture, respectively.

RESULTS

Greater GS within 300-m and 500-m buffers were associated with a slower increase in lumbar spine BMD over 14 years. After adjustment for potential confounders, β and 95% confidence intervals (CIs) of change in BMD across Q2-Q4 (quartiles of GS measured in a 300-m, compared with Q1) were -6.42 (-12.3, -0.59), -7.78 (-13.6, -1.97), and -7.83 (-13.7, -2.00) mg/cm³, respectively. GS was also positively associated with non-spinal fracture and major osteoporotic fracture incidence risks. Multivariable-adjusted hazard ratios (95%CIs) were 1.40 (1.09, 1.79; P-trend = 0.036) for non-spinal fracture and 1.53 (1.13, 2.07; P-trend = 0.010) for major osteoporotic fracture (Q4 compared with Q1 of GS measured in a 300-m buffer). Positive GS-fracture associations were also found for GS within a 500-m buffer.

CONCLUSIONS

We found that those who lived near higher GS levels had a slower increase in lumbar spine BMD and had higher incident fracture risk.

Relationship between Green and Blue Spaces with Mental and Physical Health: A Systematic Review of Longitudinal Observational Studies

There is growing interest in the ways natural environments influence the development and progression of long-term health conditions. Vegetation and water bodies, also known as green and blue spaces, have the potential to affect health and behaviour through the provision of aesthetic spaces for relaxation, socialisation and physical activity. While research has previously assessed how green and blue spaces affect mental and physical wellbeing, little is known about the relationship between these exposures and health outcomes over time. This systematic review summarised the published evidence from longitudinal observational studies on the relationship between exposure to green and blue space with mental and physical health in adults. Included health outcomes were common mental health conditions, severe mental health conditions and noncommunicable diseases (NCDs). An online bibliographic search of six databases was completed in July 2020. After title, abstract and full-text screening, 44 eligible studies were included in the analysis. Depression, diabetes and obesity were the health conditions most frequently studied in longitudinal relationships. The majority of exposures included indicators of green space availability and urban green space accessibility. Few studies addressed the relationship between blue space and health. The narrative synthesis pointed towards mixed evidence of a protective relationship between exposure to green space and health. There was high heterogeneity in exposure measures and adjustment for confounding between studies. Future policy and research should seek a standardised approach towards measuring green and blue space exposures and employ theoretical grounds for confounder adjustment.

Longitudinal association of built environment pattern with DXA-derived body fat in elderly Hong Kong Chinese: a latent profile analysis

BACKGROUND

One major limitation of prior studies regarding the associations between built environment (BE) and obesity has been the use of anthropometric indices (e.g., body mass index [BMI]) for assessing obesity status, and there has been limited evidence of associations between BE and body fat. This study aimed to explore the longitudinal association between BE and body fat in a cohort of elderly Hong Kong Chinese and examine whether the BE-body fat associations differed by BMI categories.

METHODS

Between 2001 and 2003, 3944 participants aged 65-98 years were recruited and followed for a mean of 6.4 years. BE characteristics were assessed via Geographic Information System. Body fat (%) at whole body and regional areas (trunk, limbs, android, and gynoid) were assessed by dual energy X-ray absorptiometry at baseline and three follow-ups. Latent profile analysis was used to derive BE class, and linear mixed-effects models were used to investigate the associations of BE class with changes in body fat. Stratified analyses by BMI categories were also conducted.

RESULTS

Three BE classes were identified. Participants in Class 2 (characterized by greater open space and proportion of residential land use) had a slower increase in whole body fat (B = -0.403, 95% confidence interval [CI]: -0.780, -0.014) and limbs fat (-0.471, 95% CI: -0.870, -0.071) compared with participants in Class 1 (characterized by high proportion of commercial land use). There were significant interactions of BE class with BMI, and participants in Class 2 had a slower increase in whole body fat and regional fat compared with participants in Class 1 (B ranging from -0.987 [limbs] to -0.523 [gynoid]) among overweight and obese participants only.

CONCLUSIONS

We found that those who resided in the areas characterized by greater open space and proportion of residential land use had a slower body fat increase.