AI Article Synopsis

  • The paper discusses the importance of a supportive built environment for promoting healthy active aging, particularly for older adults.
  • Researchers created a new scale called ACTIVE COMMUNITY to assess the effectiveness of such environments, based on data from 515 older participants in Accra.
  • The scale comprises six factors with 33 items and shows strong reliability, allowing communities to measure and improve their designs for encouraging active behaviors among seniors.

Article Abstract

The community development approach to healthy active aging advocates constant availability of relevant built environment factors in the community as a requirement for active behaviors. In this paper, scores from a new scale measuring these factors are interpreted to guide future assessment of active built environments in the community. Participants were 515 older adults in Accra aged 60 years or more who met some inclusion criteria. Principal component analysis (with varimax rotation) and confirmatory factor analysis were used to select relevant items and assess the psychometric properties of the final scale. Principal component analysis produced a six-factor solution with 33 items, and the final scale had a good internal consistency (Cronbach's α=0,96; factor loading ≥0,50). The minimum and maximum scores of the scale are 33 and 99 respectively, and the scale indicates low maturity, moderate maturity and high maturity of walkable built environments with scores of 1-30, 34-66 and 67-99 respectively. The final scale, hereby called ACTIVE COMMUNITY, can be used to assess the maturity of active built environments to understand how community design projects are impacting active behaviors over time.

Download full-text PDF

Source

Publication Analysis

Top Keywords

built environments
16
active behaviors
12
final scale
12
scores scale
8
active built
8
principal component
8
component analysis
8
active
7
scale
6
built
5

Similar Publications

Modernizing power systems into smart grids has introduced numerous benefits, including enhanced efficiency, reliability, and integration of renewable energy sources. However, this advancement has also increased vulnerability to cyber threats, particularly False Data Injection Attacks (FDIAs). Traditional Intrusion Detection Systems (IDS) often fall short in identifying sophisticated FDIAs due to their reliance on predefined rules and signatures.

View Article and Find Full Text PDF

The genetic basis of complex traits involves the function of many genes with small effects as well as complex gene-gene and gene-environment interactions. As one of the major players in complex diseases, the role of gene-environment interactions has been increasingly recognized. Motivated by epidemiology studies to evaluate the joint effect of environmental mixtures, we developed a functional varying-index coefficient model (FVICM) to assess the combined effect of environmental mixtures and their interactions with genes, under a longitudinal design with quantitative traits.

View Article and Find Full Text PDF

Antibody production is central to protection against new pathogens and cancers, as well as to certain forms of autoimmunity. Antibodies often originate in the lymph node (LN), specifically at the extrafollicular border of B cell follicles, where T and B lymphocytes physically interact to drive B cell maturation into antibody-secreting plasmablasts. In vitro models of this process are sorely needed to predict aspects of the human immune response.

View Article and Find Full Text PDF

Even after folding, proteins transiently sample unfolded or partially unfolded intermediates, and these species are often at risk of irreversible alteration ( via proteolysis, aggregation, or post-translational modification). Kinetic stability, in addition to thermodynamic stability, can directly impact protein lifetime, abundance, and the formation of alternative, sometimes disruptive states. However, we have very few measurements of protein unfolding rates or how mutations alter these rates, largely due to technical challenges associated with their measurement.

View Article and Find Full Text PDF

Introduction: The transition to electric vehicles (EVs) has highlighted the need for efficient diagnostic methods to assess the state of health (SoH) of lithium-ion batteries (LIBs) at the end of their life cycle. Electrochemical Impedance Spectroscopy (EIS) offers a non-invasive technique for determining battery degradation. However, automating this process in industrial settings remains a challenge.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!