Age-Friendly Environments, Active Lives? Associations Between the Local Physical and Social Environment and Physical Activity Among Adults Aged 55 and Older in Ireland

Examining dynamic developmental trends: the interrelationship between age-friendly environments and healthy aging in the Chinese population-evidence from China Health and Retirement Longitudinal Study, 2011-2018

BACKGROUND

The objective of this research is to investigate the dynamic developmental trends between Age-Friendly Environments (AFE) and healthy aging in the Chinese population.

METHODS

This study focused on a sample of 11,770 participants from the CHARLS and utilized the ATHLOS Healthy Aging Index to assess the level of healthy aging among the Chinese population. Linear mixed model (LMM) was used to explore the relationship between AFE and healthy aging. Furthermore, a cross-lagged panel model (CLPM) and a random-intercept cross-lagged panel model (RI-CLPM) were used to examine the dynamic developmental trends of healthy aging, taking into account both Between-Person effects and Within-Person effects.

RESULTS

The results from LMM showed a positive correlation between AFE and healthy aging (β = 0.087, p < 0.001). There was a positive interaction between the geographic distribution and AFE (central region * AFE: β = 0.031, p = 0.038; eastern region * AFE: β = 0.048, p = 0.003). In CLPM and RI-CLPM, the positive effect of healthy aging on AFE is a type of Between-Person effects (β ranges from 0.147 to 0.159, p < 0.001), while the positive effect of AFE on healthy aging is Within-Person effects (β ranges from 0.021 to 0.024, p = 0.004).

CONCLUSION

Firstly, individuals with high levels of healthy aging are more inclined to actively participate in the development of appropriate AFE compared to those with low levels of healthy aging. Furthermore, by encouraging and guiding individuals to engage in activities that contribute to building appropriate AFE, can elevate their AFE levels beyond the previous average level, thereby improving their future healthy aging levels. Lastly, addressing vulnerable groups by reducing disparities and meeting their health needs effectively is crucial for fostering healthy aging in these populations.

Bridging the Built and Social Environments: A Systematic Review of Studies Investigating Influences on Physical Activity

BACKGROUND

The purpose of this review was to examine articles assessing aspects of the built and social environment simultaneously, and how these environments influence physical activity (PA). A thorough review of studies is needed to identify patterns across studies and gaps for future research and practice.

METHODS

To be included, articles needed to contain: (1) self-report or objective measure of PA; (2) a measure of the built environment; (3) a measure of the social environment; and (4) an analysis between built environment, social environment, and PA. A systematic literature search of 4358 articles resulted in 87 articles.

RESULTS

Several populations were present within the sample including various age groups and different countries. As previously established, the built environment and social environment were consistently associated with PA; however, mediating factors between these 2 layers were less clear. Further, there was a lack of longitudinal and experimental study designs.

CONCLUSIONS

Results suggest a need for longitudinal and experimental designs with validated and granular measures. As communities recover from the COVID-19 pandemic, a thorough understanding of how built environment factors enhance or detract from social connectedness and how this reciprocal relationship impacts PA behavior is needed for future policy, environment, and systematic change.

Physically Constructed and Socially Shaped: Sociomaterial Environment and Walking for Transportation in Later Life

The predictive power of three intersecting environmental dimensions (built structures, social infrastructure, and social capital) on late-life walking was investigated, conceptually based on the ecological framework of place, which posits that a living environment is simultaneously a physical place, a social place, and a set of social bonds. Multilevel models were used to examine the extent to which environments, defined as interactions of the social and material environmental dimensions, reliably predicted walking for transportation among U.S. adults aged 60 years or older in the 2015 National Health Interview Survey (n = 11,180). Random intercepts representing 221 environments showed an intraclass correlation of 21%, indicating high levels of between-environment variance in walking. Social infrastructure had the highest predictive power for walking, followed by material structures and social capital. Synergistic interventions that incorporate the intersecting nature of the sociomaterial environment may be most effective in promoting physical activity in later life.

Green Space, Air Pollution, Weather, and Cognitive Function in Middle and Old Age in China

Prior research has shown that environmental hazards, such as limited green space, air pollution, and harmful weather, have the strong adverse impact on older adults' cognitive function; however, most of the studies were conducted in developed countries and limited to cross-sectional analyses. China has the largest aging population in the world so the research evidence from it can offer an insight to the study in other developing countries facing similar issues and inform future public health policy and disease control. This study examined the long-term impact of environmental factors, namely, green space coverage, air pollution, and weather conditions on cognitive function using a nationally representative sample consisting of adults aged 45 years and older selected from the China Health and Retirement Longitudinal Study (CHARLS 2011–2018), the China City Statistical Yearbook, and other sources. Multilevel growth curve models were utilized for analysis and the mediator effects of physical activity and social engagement on the relationship between environmental factors and cognitive function were examined. Findings of this study showed that after controlling for sociodemographic characteristics, annual precipitation of 80 cm or more, living in areas with July temperature of 28°C or higher, urban community, and green space coverage were positively associated with cognition score at the baseline and lower precipitation, urban community, and greater green space coverage were associated with slower cognitive decline over a 7-year period. The impact of gross domestic product (GDP) seemed to take into effect more and more over time. These effects did not substantially change after weekly total hours of physical activities and levels of social engagement were added. More research on the mechanisms of the effect of environmental factors on cognition is needed such as the subgroup analyses and/or with more aspects of environmental measures.

Age-friendly neighbourhoods and physical activity of older Surinamese individuals in Rotterdam, the Netherlands

BACKGROUND

Age-friendly neighbourhoods seem to promote physical activity among older individuals. Physical activity is especially important for chronically ill individuals. In the Netherlands, older Surinamese individuals are more likely to have chronic diseases than are their native Dutch counterparts. This study examined relationships of neighbourhood characteristics with physical activity among older Surinamese individuals in Rotterdam, the Netherlands.

METHODS

Of 2749 potential participants, 697 (25%) community-dwelling older (age ≥ 70 years) Surinamese individuals living in Rotterdam, the Netherlands, completed a questionnaire on personal and neighbourhood characteristics between March and June 2020. Correlation and multilevel regression analyses were performed to identify associations between missing neighbourhood characteristics for ageing in place and physical activity.

RESULTS

Scores for the neighbourhood domains communication and information (r = -0.099, p ≤ 0.05), community support and health services (r = -0.139, p ≤ 0.001), and respect and social inclusion (r = -0.141, p ≤ 0.001), correlated negatively with participants' PA. In the multilevel analysis, overall missing neighbourhood characteristics to age in place scores were associated negatively with physical activity (p ≤ 0.05).

CONCLUSION

This study showed the importance of age-friendly neighbourhoods for physical activity among older Surinamese individuals in Rotterdam, the Netherlands. Our findings suggest that the neighbourhood plays an important role in supporting older individuals' leading of physically active lifestyles. Further research is needed to support the development of interventions to create age-friendly neighbourhoods.