OBJECTIVE: The prevalence of multimorbidity has risen considerably because of the increase in longevity and the rapidly growing number of older individuals. Today, only little is known about the influence of multimorbidity on cognition in a normal healthy aging population. The primary aim of the present study was to investigate the effect of multimorbidity on cognition over a 12-year period in an adult population with a large age range. METHODS: Data were collected as part of the Maastricht Aging Study (MAAS), a prospective study into the determinants of cognitive aging. Eligible MAAS participants (N = 1763), 24-81 years older, were recruited from the Registration Network Family Practices (RNH) which enabled the use of medical records. The association between 96 chronic diseases, grouped into 23 disease clusters, and cognition on baseline, at 6 and 12 years of follow-up, were analyzed. Cognitive performance was measured in two main domains: verbal memory and psychomotor speed. A multilevel statistical analysis, a method that respects the hierarchical data structure, was used. RESULTS: Multiple disease clusters were associated with cognition during a 12-year follow-up period in a healthy adult population. The disease combination malignancies and movement disorders multimorbidity also appeared to significantly affect cognition. CONCLUSIONS: The current results indicate that a variety of medical conditions adversely affects cognition. However, these effects appear to be small in a normal healthy aging population.
DOCUMENT
BACKGROUND: Global migration has increased in the past century, and aging in a foreign country is relevant to the Chinese diaspora.OBJECTIVE: With regard to migration, this study focuses on the places of aging as the context of older Chinese adults. This study aimed to describe the general health and wellbeing of this population with respect to their location.DESIGN: This study has a cross sectional design.SETTING AND PARTICIPANTS: Participants were recruited who were "aging in place" from Tianjin, China (199 participants), and "aging out of place" from the Netherlands (134 participants). Data from April to May 2019 in China and November 2018 to March 2019 in the Netherlands were aggregated.MEASUREMENTS: frailty, QoL and loneliness were used in both samples.RESULTS: T-tests and regression analyses demonstrated that social domains of frailty and QoL, as well as loneliness and frailty prevalence characterized the major differences between both places of aging. A correlation analysis and visual correlation network revealed that frailty, quality of life (QoL), and loneliness were more closely related in the aging out of place sample. Social domains of frailty and QoL, as well as the prevalence of loneliness and frailty, characterized the major differences between both places of aging.CONCLUSIONS: The findings indicate that frailty, QoL, and loneliness have a complex relationship, confirming that loneliness is a major detriment to the general wellbeing of older Chinese adults aging out of place. This study examined the places of aging of the larger Chinese population and allows a comprehensive understanding of health and wellbeing. The social components, especially loneliness, among the aging out of place Chinese community should receive more attention practice and clinical wise. On the other hand, frailty as well as its prevention is of more importance for the Chinese community aging in place.
DOCUMENT
Background: Most older adults prefer to age in place, and supporting older adults to remain in their own homes and communities is also favored by policy makers. Technology can play a role in staying independent, active and healthy. However, the use of technology varies considerably among older adults. Previous research indicates that current models of technology acceptance are missing essential predictors specific to community-dwelling older adults. Furthermore, in situ research within the specific context of aging in place is scarce, while this type of research is needed to better understand how and why community-dwelling older adults are using technology. Objective: To explore which factors influence the level of use of various types of technology by older adults who are aging in place and to describe these factors in a comprehensive model. Methods: A qualitative explorative field study was set up, involving home visits to 53 community-dwelling older adults, aged 68-95, living in the Netherlands. Purposive sampling was used to include participants with different health statuses, living arrangements, and levels of technology experience. During each home visit: (1) background information on the participants' chronic conditions, major life events, frailty, cognitive functioning, subjective health, ownership and use of technology was gathered, and (2) a semistructured interview was conducted regarding reasons for the level of use of technology. The study was designed to include various types of technology that could support activities of daily living, personal health or safety, mobility, communication, physical activity, personal development, and leisure activities. Thematic analysis was employed to analyze interview transcripts. Results: The level of technology use in the context of aging in place is influenced by six major themes: challenges in the domain of independent living; behavioral options; personal thoughts on technology use; influence of the social network; influence of organizations, and the role of the physical environment. Conclusion: Older adults' perceptions and use of technology are embedded in their personal, social, and physical context. Awareness of these psychological and contextual factors is needed in order to facilitate aging in place through the use of technology. A conceptual model covering these factors is presented.
LINK
BACKGROUND: Older adults want to preserve their health and autonomy and stay in their own home environment for as long as possible. This is also of interest to policy makers who try to cope with growing staff shortages and increasing health care expenses. Ambient assisted living (AAL) technologies can support the desire for independence and aging in place. However, the implementation of these technologies is much slower than expected. This has been attributed to the lack of focus on user acceptance and user needs.OBJECTIVE: The aim of this study is to develop a theoretically grounded understanding of the acceptance of AAL technologies among older adults and to compare the relative importance of different acceptance factors.METHODS: A conceptual model of AAL acceptance was developed using the theory of planned behavior as a theoretical starting point. A web-based survey of 1296 older adults was conducted in the Netherlands to validate the theoretical model. Structural equation modeling was used to analyze the hypothesized relationships.RESULTS: Our conceptual model showed a good fit with the observed data (root mean square error of approximation 0.04; standardized root mean square residual 0.06; comparative fit index 0.93; Tucker-Lewis index 0.92) and explained 69% of the variance in intention to use. All but 2 of the hypothesized paths were significant at the P<.001 level. Overall, older adults were relatively open to the idea of using AAL technologies in the future (mean 3.34, SD 0.73).CONCLUSIONS: This study contributes to a more user-centered and theoretically grounded discourse in AAL research. Understanding the underlying behavioral, normative, and control beliefs that contribute to the decision to use or reject AAL technologies helps developers to make informed design decisions based on users' needs and concerns. These insights on acceptance factors can be valuable for the broader field of eHealth development and implementation.
DOCUMENT
OBJECTIVES: (1) To study the natural decline in functional capacity (FC) of healthy aging workers; (2) to compare FC to categories of workload; and (3) to study the differences in decline between men and women.DESIGN: Cross-sectional design.SETTING: A rehabilitation center at a university medical center.PARTICIPANTS: Volunteer sample of healthy workers (N=701) between 20 and 60 years of age, working at least 20 hours per week in the year prior to the study. Subjects were recruited via local press and personal networks.INTERVENTIONS: FC was measured with a 14-item Functional Capacity Evaluation. Demographics and health status were measured with a general demographic questionnaire and the RAND-36 questionnaire.MAIN OUTCOME MEASURES: Workload was expressed by the workload categories, as described by the Dictionary of Occupational Titles. Descriptive statistics were used to present FC of workers. Change in FC by age was tested with segmented regression analyses with a cutoff point at 45 years of age.RESULTS: Significant but small declines of FC under age 45 years were present in repetitive reaching, hand dexterity, and energetic capacity. Up to 45 years of age, hand and finger strength increased on average. Over 45 years of age, lifting, carrying, hand and finger strength, and coordinative tests declined more compared with the group aged less than 45 years. Work capacity of men and women working in sedentary and light work was sufficient in all age categories. There are no differences in decline between men and women.CONCLUSIONS: FC of healthy workers declines with age. This study demonstrates substantial variation in the type of FC decline among healthy workers between 20 and 60 years of age. Material handling, hand and finger strength, and hand coordination appear to decline the most in workers over age 45 years. The objective of rehabilitation is to maximize an individual's FC, particularly with respect to environmental demand. Thus, return to work programs must appreciate both FC and workplace demands in an effort to restore/enhance equilibrium between the 2.
DOCUMENT
Although critical differences exist between large companies and small- and medium-sized enterprises (SMEs), limited empirical research has been done on human resource (HR)-related corporate social responsibility (CSR). In this paper we study aging workforce management (AWM) as a component of CSR. Our study was conducted in the Netherlands through a randomly distributed online questionnaire. Managers and team leaders of 201 SMEs responded. The data were analyzed using multiple hierarchical regression analysis. Our results are twofold: first, findings suggest that CSR policies in micro organizations with fewer than five employees seem to be strongly associated with AWM; and second, that companies with a focus on integration of older workers in daily activities do not perceive their actions as HR-related. Using AWM as part of CSR helps to give insight into the role of the owner, company size and the nature of implicit CSR practices. Our study demonstrates that the use of AWM in CSR research can lead to valuable insights and therefore, our overarching research question is answered that AWM can be used when studying CSR. © 2012 Blackwell Publishing Ltd.
DOCUMENT
Ageing is an important factor that affects visual functioning. In the Netherlands the average age in healthcare facilities is on increase. The current study is a preliminary literature review regarding the influence of light on the visual functioning of the aging workforce and their related tasks.
DOCUMENT
BACKGROUND: There is a growing interest in empowering older adults to age in place by deploying various types of technology (ie, eHealth, ambient assisted living technology, smart home technology, and gerontechnology). However, initiatives aimed at implementing these technologies are complicated by the fact that multiple stakeholder groups are involved. Goals and motives of stakeholders may not always be transparent or aligned, yet research on convergent and divergent positions of stakeholders is scarce. OBJECTIVE: To provide insight into the positions of stakeholder groups involved in the implementation of technology for aging in place by answering the following questions: What kind of technology do stakeholders see as relevant? What do stakeholders aim to achieve by implementing technology? What is needed to achieve successful implementations? METHODS: Mono-disciplinary focus groups were conducted with participants (n=29) representing five groups of stakeholders: older adults (6/29, 21%), care professionals (7/29, 24%), managers within home care or social work organizations (5/29, 17%), technology designers and suppliers (6/29, 21%), and policy makers (5/29, 17%). Transcripts were analyzed using thematic analysis. RESULTS: Stakeholders considered 26 different types of technologies to be relevant for enabling independent living. Only 6 out of 26 (23%) types of technology were mentioned by all stakeholder groups. Care professionals mentioned fewer different types of technology than other groups. All stakeholder groups felt that the implementation of technology for aging in place can be considered a success when (1) older adults' needs and wishes are prioritized during development and deployment of the technology, (2) the technology is accepted by older adults, (3) the technology provides benefits to older adults, and (4) favorable prerequisites for the use of technology by older adults exist. While stakeholders seemed to have identical aims, several underlying differences emerged, for example, with regard to who should pay for the technology. Additionally, each stakeholder group mentioned specific steps that need to be taken to achieve successful implementation. Collectively, stakeholders felt that they need to take the leap (ie, change attitudes, change policies, and collaborate with other organizations); bridge the gap (ie, match technology with individuals and stimulate interdisciplinary education); facilitate technology for the masses (ie, work on products and research that support large-scale rollouts and train target groups on how to use technology); and take time to reflect (ie, evaluate use and outcomes). CONCLUSIONS: Stakeholders largely agree on the direction in which they should be heading; however, they have different perspectives with regard to the technologies that can be employed and the work that is needed to implement them. Central to these issues seems to be the tailoring of technology or technologies to the specific needs of each community-dwelling older adult and the work that is needed by stakeholders to support this type of service delivery on a large scale. KEYWORDS: aged; eHealth; focus groups; health services for the elderly; implementation management; independent living; project and people management; qualitative research; technology
LINK
Exposures to ionizing radiation frommedical examinations are on the rise. An important cause for this has been the advent and ever-increasing use of computed tomography (CT) scans for diagnostic purposes. It is often implied that population aging contributes significantly to this rise. Here, the trends in population statistics are compared to the trend in the number of CT scans in the Netherlands for the period 2002–2010. It is concluded that population growth and population aging cannot explain the observed rise in CTexaminations. In fact, these factors contribute only 17% to this rise, indicating that there must be other factors that are far more important.
LINK
Purpose: To provide an overview of factors influencing the acceptance of electronic tech-nologies that support aging in place by community-dwelling older adults. Since technologyacceptance factors fluctuate over time, a distinction was made between factors in the pre-implementation stage and factors in the post-implementation stage. Methods: A systematic review of mixed studies. Seven major scientific databases (includingMEDLINE, Scopus and CINAHL) were searched. Inclusion criteria were as follows: (1) originaland peer-reviewed research, (2) qualitative, quantitative or mixed methods research, (3)research in which participants are community-dwelling older adults aged 60 years or older,and (4) research aimed at investigating factors that influence the intention to use or theactual use of electronic technology for aging in place. Three researchers each read the articlesand extracted factors. Results: Sixteen out of 2841 articles were included. Most articles investigated acceptance oftechnology that enhances safety or provides social interaction. The majority of data wasbased on qualitative research investigating factors in the pre-implementation stage. Accep-tance in this stage is influenced by 27 factors, divided into six themes: concerns regardingtechnology (e.g., high cost, privacy implications and usability factors); expected benefits oftechnology (e.g., increased safety and perceived usefulness); need for technology (e.g., per-ceived need and subjective health status); alternatives to technology (e.g., help by family orspouse), social influence (e.g., influence of family, friends and professional caregivers); andcharacteristics of older adults (e.g., desire to age in place). When comparing these results to qualitative results on post-implementation acceptance, our analysis showed that some factors are persistent while new factors also emerge. Quantitative results showed that a small number of variables have a significant influence in the pre-implementation stage. Fourteen out of the sixteen included articles did not use an existing technology acceptance framework or model. Conclusions: Acceptance of technology in the pre-implementation stage is influenced by multiple factors. However, post-implementation research on technology acceptance by community-dwelling older adults is scarce and most of the factors in this review have not been tested by using quantitative methods. Further research is needed to determine if and how the factors in this review are interrelated, and how they relate to existing models of technology acceptance.
LINK
