Table 3 Quantitative and mixed studies of active Aging
NO | NAME | TYPE OF STUDY | POPULATION | COUNTRY | DIMENTION OF ACTIVE AGING |
|---|---|---|---|---|---|
1. | [1] | Integrative review (This method includes both qualitative and quantitative studies) | First, 2543 articles Then 76 articles were eligible | Iran | Social well-being, psychological wellbeing, physical health, spirituality and transcendence, and environment and economic security. |
2. | [9] | Survey study | Shapefile sources include the United States Census Bureau | USA | Walkability, built environment, physical activity, older adults, objective measures, subjective measures, active aging, GIS, neighborhood, urban health |
3. | [33] | multi-method approach (a systematic review and meta-analysis) | 100 articles from peer-reviewed and grey literature older adults (≥65 years old) | Australia | Walkability, residential density/urbanization, street connectivity, access to/availability of destinations and services, infrastructure and streetscape, and safety |
4. | [23] | Cohort and Followed up study | 883 participants aged 55 years and older | USA | Traffic, noise, crime, trash and litter, lighting, and public transportation |
5. | [36] | prevalence-based method | 17 years of data at age 65 with and without disabilities | Mexico | Disabilities |
6. | [37] | Longitudinal study | 400 elderly At 60 years of age | Mexico | High blood pressure, type2 diabetes mellitus, cancer, arthritis, osteoporosis, depression, and dementia |
7. | [38] | Quantitative approach | 235 elderly ranged between 60 and 94 years old | Brazil | Life satisfaction, leisure activities, cigarette smoking, alcohol consumption, practicing of exercises, frequency, activity length, about diet |
8. | [39] | Quantitative approach | totalsampleof48adults aged 55 years and over, comprising 4 subsamples of equal numbers (n = 12) | Australia | Self-ratings of being active |
9. | [40] | Pre- and post-series survey | older adults older than 65 years (n = 23) | USA | Longevity, independence, fitness, and engagement |
10. | [41] | Scoping study and macro-level analyses | age 60 or 65 | Canada | Participation, shopping and obtaining services, active sports, socializing and social participation, car users and non-car-users |
11. | [42] | Comparative study | 799 community-dwelling older adults between 65 and 74 years old | Canada | Health, participation, and security |
12. | [43] | Systematic review and meta-analysis | aged≥65 years | – | Older adults, Active travel, Cycling, Walking, Neighbourhood, Built environment |
13. | [45] | Longitudinal Study | aged 50 years and above 307 communities | China | Economic, institutional, and sociodemographic environments paid work, domestic care, participation in community and leisure activities |
14. | [46] | Structural Equation Models (SEM) | 402 older persons (≥55 years of age) | Singapore | high-density urban neighborhood, well connected street, diversity of land use mix, close proximity to amenities and facilities, and aesthetic environment |
15. | [47] | Multiwave study | Over 10 years. In-person interviews were conducted with a stratified random sample of 4162 community dwelling adults aged 65 years and older residing in 5 contiguous counties | USA | Intra-individual (e.g., psychosocial attributes, coping styles, activity accommodations) and extra-individual (e.g., rehabilitation, external supports, and the built, physical, and social environment) |
16. | [48] | Cross-sectional studies | Older women (mean age = 69.6; n = 136) and women diagnosed with MS (mean age = 46.1; n = 173) | USA | Self-efficacy, functional limitations and street connectivity |
17. | [49] | Followed up study | age 65–79 years 5218 older | Western Australia | Depression, depressive disorder, mood disorder, mental health, risk factors social context |
18. | [52] | Cohort study | 1000 participants aged 75, 80 or 85 years | Finland | Wellbeing, disability, environmental and social support, mobility, health behavior and health literacy |
19. | [61] | Survey | ages 65–95 (45 female and 55 male) | Turkey | Liveable urban environments, Accessible urban environments, social benefits and opportunities, such as health, social life, environment, well-designed, easy recognizable |
20. | [62] | Quantitative approach questionnaire survey | 385 older adults aged 60 to 75 | Malaysia | Permeability, accessibility, and facilitators to walking |
21. | [63] | Cross-sectional interview survey data | 4183 older adults (≥60 years) | Thailand | Walkable neighborhood, neighborhood aesthetics, neighborhood service accessibility, neighborhood criminal safety, neighborhood social trust, neighborhood social support, and neighborhood social cohesion. The present study confirms the important role of age-friendly neighborhoods in terms of physical and social environments |
22. | [58] | Mixed method approach | 117 participants aged 55+ years | China | urban spaces and infrastructure on mobility and well-being |
23. | [64] | Mixed-use(research method consists of four phases called as conceptual analysis, data collection about the research area and topic, evaluation of results and discussion) | 68 users over 65 years | Turkey | Roads, pollution, safety,insufficiency of maintenance and management, traffic and sociocultural problems |
24. | [71] | Cohort study | 435 participants aged 65+ years old | USA | High mobility barriers and low transportation facilitators |
25. | [74] | Cross-sectional | 356 participants 6 to 89 years old | Germany | Intellectual Abilities, Processing Speed, and Processing Robustness |
26. | [75] | Population based study | (N = 60) aged 55 and over | USA | land use planning and transportation |
27. | [76] | Evidence- based | – | Australia | Urban form, parks, walking |
28. | [77] | Multilevel regression | 546 community-dwelling older adults | USA | Education, Annual household income, Gender, Walking self-efficacy |
29. | [80] | Mixed study | 97 neighborhood | USA | Quality of life Aging population Spatial demography Heritage city space perception Neighborhood Social networks |
30. | [81] | Statistical methodology | 1188 older adults | USA | Accessible features (e.g., continuous barrier-free sidewalks and proximity of public transportation) |
31. | [78] | multilevel logistic growth curve models | older adults (age 75 +) | USA | Mobility Disability |
32. | [82] | Multilevel linear regression analyses | 20 selected neighborhoods age (65–74 vs. Z75 years) participants (1750 in total) | Belgium | Walkability and health outcomes |
33. | [83] | Survey study | 65 years and older 27 Swedish informants interviewed | Sweden | Architecture, Place making, Residential homes |
34. | [85] | Data analysis | 364 Independently (55–80 years) | Netherland | Walking, Physical environment, Pedestrians, Active transport |
35. | [88] | Statistical Analysis | 4000 people aged 65 years and over | Hong Kong | Physical and mental components of health, frailty, and mortality. Socioeconomic position, lifestyle factors |
36. | [89] | Cross sectional, multilevel design | 577 residents (mean age = 74 years) 56 city | USA | Density of places of employment, household density, green and open spaces for recreation, number of street intersections |
37. | [90] | Choice-based conjoint analysis | Participants (n = 1197) | Belgium | Recreation Public open spaces Park design naturalness, upkeep, walking paths, outdoor fitness equipment/playground, sport field, benches, drinking fountain, peers, mother with children and homeless person |
38. | [92] | Survey (questionnaire) | 103 participants, ranging in age from 72 to 86 years old | France | Neighborhood satisfaction Well-being |
39. | [94] | Cohort study | 3144 people born in 1903, 1908, 1913, or 1918 | Japan | Age, sex, marital status, baseline functional status, and socioeconomic status, Greenery filled public areas |
40. | [95] | A Population-Based Survey | 2619 interviews 65 years and over | South Australia | Falls (including slips, trips and falls to the ground) |
41. | [96] | Survey (multivariable logistic regression) | 4494 elderly Singaporeans (X60 years) | Singapore | Age, gender, ethnicity, education, housing type, living arrangement and social participation) and health (body mass, diabetes and cognitive status) |
42. | [97] | Quantitative approach | 38,595 elderly persons (≥ 60 years old) | India | Age, tobacco smoking, education, living standard, and other such factors |
43. | [99] | Quantitative approach | 400 participants Years old+ 60 | Iran | Happiness, age, sex, satisfaction, peace, level of activity, self-respect |
44. | [98] | quasi-experimental study | Seventy-six older adults aged 60 years and over part | Mexico | Vital Aging, active aging, intervention program, successful aging |
45. | [100] | Quantitative approach | – | European countries | labor-market, suicide mortality |
46. | [110] | Multivariate logistic regression | 1485 participants + 90 years | USA | Dementia, chronic diseases or hospitalizations |
47. | [112] | Descriptive-analytic study | 379 older adults and 57 managers minimum 60 and maximum 89 years | Iran | Participation and Collaboration of organizations |
48. | [113] | A mixed-method sequential explanatory design | all Canadian communities, defined by the municipalities (N = 3555) | Canada | 1) Describe and compare age-friendly key components of communities across Canada 2) Identify key components best associated with positive health, social participation and health equity of aging adults 3) Explore how these key components foster positive health, social participation and health equity |