| Literature DB >> 34980249 |
Abstract
Before developing agriculture, herding or metallurgy, humans occupied most of the world. Multiple socioculturally-based responses supported their migration, including building shelters and constructing niches to limit environmental stressors. Sheltered settings provided social support and security during stressful times, along with opportunities for injured, aging, and frail members to survive. Modern built environments are designed for similar purposes, to support human growth, development, reproduction, and maintenance. However, extended survival in modern settings has costs. With age, muscle (sarcopenia) and bone loss (osteopenia, osteoporosis), along with somatic, physiological, and sensory dysfunction, reduce our physical capabilities, increase our frailty, and impede our abilities to interface with built and natural environments and manufactured artifacts. Thereby, increasing our dependence on built environments to maintain autonomy and quality of life.What follows is a conceptual review of how frailty may limit seniors within modern built environments. It suggests age-related frailty among seniors provides specific data for those designing environments for accessibility to all users. It is based in human ecological theory, and physiological and gerontological research showing senescent alterations, including losses of muscle, bone, and sensory perceptions, produce a frail phenotype with increasing age limiting our mobility, activity, use of space, and physical abilities. As an individual phenotype, frailty leads to age-related physical and performance declines. As a physiological assessment, frailty indices amalgamate individual measures of functional abilities into a single score. Such frailty indices increase with age and differ betwixt individuals and across groups. To design built environments that improve access, usability, and safety for aging and frail citizens, today's seniors provide living samples and evidence for determining their future abilities, limitations, and design needs. Designing built environments to accommodate and improve the quality of human-environment interactions for frail seniors will improve usability and accessibility for most user groups.Entities:
Keywords: Accessibility; Accommodating; Aging; Design; Frailty; Housing; Mobility; Seniors
Mesh:
Year: 2022 PMID: 34980249 PMCID: PMC8725353 DOI: 10.1186/s40101-021-00274-w
Source DB: PubMed Journal: J Physiol Anthropol ISSN: 1880-6791 Impact factor: 2.867
Percent born surviving to selected ages (%) and percent in population (%p) at specific ages 70 and 85 years plus, and life expectancy at age 75 years in selected nations
| Age 70 | Age 85 | |||||||||
|---|---|---|---|---|---|---|---|---|---|---|
| Nation | Men | Women | Men | Women | ||||||
| % | %p | ex | % | %p | ex | % | %p | % | %p | |
| Japan | 75 | (9.0) | 13.5y | 88 | (13.5) | 17.7y | 29 | (1.3) | 59 | (2.3) |
| UK | 70 | (8.9) | 11.9y | 81 | (13.5) | 14.7y | 21 | (1.0) | 39 | (2.8) |
| USA | 65 | (7.4) | 12.8y | 79 | (10.8) | 15.5y | 24 | (0.9) | 42 | (2.1) |
| Sweden | 75 | (10.7) | 12.8y | 85 | (15.3) | 15.9y | 27 | (1.4) | 47 | (3.1) |
| Ecuador | 61 | (2.6) | 12.1y | 71 | (3.3) | 14.2y | ** | (0.2) | ** | (0.4) |
| India | 41 | (2.9) | 10.0y | 47 | (3.0) | 11.4y | ** | ** | ** | ** |
Source: Demographic Yearbook 1996, 1998, 2000, United Nations Department of Economic and Social Affairs, New York. Percent surviving based upon data 1992–96 India, 1994, UK and Ecuador, 1999 Sweden. Expectation of life based upon data from 1992 to 96 India, 1995 Ecuador, 1998 USA, 1999 Japan, Sweden, and UK (** indicates data were not available for this item) [12–14]
Life expectancy at birth 1960 and 2016 and percent increase in population aged over 50 years in selected nations
| Nation | 1960 | 2019 | % Increase |
|---|---|---|---|
| Japan | 68 | 84 | 23.5 |
| UK | 71 | 81 | 14.1 |
| Sweden | 73 | 83 | 13.7 |
| USA | 70 | 79 | 12.9 |
| Ecuador | 53 | 77 | 45.3 |
| India | 41 | 70 | 70.7 |
| China | 44 | 77 | 75.0 |
| Poland | 68 | 78 | 14.7 |
2019 Data: The World Bank 2018, Life Expectancy at birth accessed 12 November 2018 [19].. https://data.worldbank.org/indicator/SP.DYN.LE00.IN. 2016 Data [1]
Average height (cm), weight (Kg), and body mass indices (BMI) of adults by age group in the United States 2015-2016a and Japan 2016b,c
| Men | Women | |||||
|---|---|---|---|---|---|---|
| Age | Height | Weight | BMI | Height | Weight | BMI |
| 20–39 | 176.1 | 89.3 | 28.7 | 162.7 | 76.0 | 28.7 |
| 40–59 | 175.8 | 91.1 | 29.4 | 162.1 | 80.0 | 30.4 |
| 60+ | 173.4 | 88.3 | 29.3 | 159.3 | 75.5 | 29.8 |
| All | 175.4 | 89.8 | 29.1 | 175.4 | 77.4 | 29.6 |
| 30–34 | 172.7 | 67.6 | 22.6 | 157.5 | 51.7 | 20.8 |
| 50–54 | 167.6 | 68.5 | 23.6 | 157.5 | 53.1 | 21.4 |
| 65–69 | 165.1 | 63.5 | 23.3 | 152.4 | 52.2 | 22.5 |
| 75–79 | 162.6 | 61.2 | 23.2 | 149.9 | 50.4 | 22.4 |
aMean Body Weight, Height, Waist Circumference, and Body Mass Index Among Adults: United States, 1999–2000 Through 2015–2016, Table 1: weight and 3: height [36]. https://www.cdc.gov/nchs/data/nhsr/nhsr122-508.pdf Accessed 10/18/21
bHeights and weights of Japanese men by age group [37]
http://nbakki.hatenablog.com/entry/Average_Weight_of_Japanese_2016 and http://nbakki.hatenablog.com/entry/Average_Height_of_Japanese_2016. Accessed 10/18/21. Source: Japan Sports Agency
cAverage Weight of Japanese, 2016: Ministry of Education, Culture, Sports, Science and Technology [38]
https://nbakki.hatenablog.com/entry/Average_Weight_of_Japanese_2016 Accessed 11/12/21
Heights, weights, standard deviations, and p-values for liner trends in height and weight 1999–2000 to 2015–2016 among adult men and women by age group in the United Statesa
| 20–39 | 176.2 (0.2) | 84.3 (0.9) | 27.2 | 163.2 (0.3) | 73.4 (1.0) | 27.9 | ||||
| 40–69 | 176.3 (0.4) | 88.1 (1.2) | 28.3 | 162.8 (0.4) | 76.8 (1.3) | 28.9 | ||||
| 70+ | 173.5 (0.3) | 85.2 (0.8) | 28.3 | 159.0 (0.2) | 71.6 (0.6) | 28.3 | ||||
| 20–39 | 176.1 (0.3) | .096 | 89.3 (1.4) | <.001 | 28.8 | 162.7 (0.4) | .407 | 76.0 (0.8) | <.001 | 24.2 |
| 40–69 | 175.8 (0.4) | .096 | 91.1 (0.9) | .032 | 29.5 | 162.1 (0.4) | .041 | 80.0 (1.4) | .026 | 30.4 |
| 70+ | 173.4 (0.5) | .965 | 88.3 (0.8) | <.001 | 29.3 | 159.3 (0.5) | 0.588 | 75.5 (1.2 | <.001 | 29.7 |
aMean Body Weight, Height, Waist Circumference, and Body Mass Index Among Adults: United States, 1999–2000 Through 2015–2016, Table 1: weight and 3: height [36].. https://www.cdc.gov/nchs/data/nhsr/nhsr122-508.pdf Accessed 10/18/21
Averages, 10th and 90th percentiles, and percent declines in average handgrip strength (kg) by age group for men and women in the USA, China, and Mexico (percentiles not available for Mexico)
| 25–29 | 47.0 | 33.7 | 66.2 | 29.6 | 20.2 | 39.7 | ||
| 60–69 | 38.4 | 23.3 | 52.5 | 18.3 | 23.6 | 11.7 | 31.2 | 20.3 |
| 80–85 | 28.1 | 15.6 | 38.2 | 26.8 | 19.9 | 14.5 | 27.0 | 15.5 |
| 18–29 | 35.6 | 28.9 | 41.7 | 22.0 | 15.9 | 27.6 | ||
| 60–69 | 29.5 | 21.8 | 38.7 | 17.1 | 18.6 | 13.1 | 24.0 | 15.5 |
| 80+ | 20.9 | 12.5 | 27.8 | 29.2 | 13.6 | 8.6 | 18.5 | 26.9 |
| 20–29 | 44 | 28 | ||||||
| 60–69 | 38 | 13.6 | 22 | 27.3 | ||||
| 70+ | 33 | 13.2 | 22 | 0.0 | ||||
Data Sources: Mexico [39], United States [40], China [41]