A crucial issue for the sustainability of societies is how to maintain health and functioning in older people. With increasing age, losses in vision, hearing, balance, mobility and cognitive capacity render older people particularly exposed to environmental barriers. A central building block of human functioning is walking. Walking difficulties may start to develop in midlife and become increasingly prevalent with age. Life-space mobility reflects actual mobility performance by taking into account the balance between older adults internal physiologic capacity and the external challenges they encounter in daily life. The aim of the Life-Space Mobility in Old Age (LISPE) project is to examine how home and neighborhood characteristics influence people’s health, functioning, disability, quality of life and life-space mobility in the context of aging. In addition, examine whether a person’s health and function influence life-space mobility.

Objectives: To examine the association between life-space mobility and different dimensions of depressive symptoms among older community-dwelling people. Methods: Cross-sectional analyses of baseline data of the ‘Life-Space Mobility in Old Age’ cohort study were carried out. The participants were community-dwelling women and men aged 75–90 years (N = 848). Data were gathered via structured interviews in participants’ home. Life-space mobility (the University of Alabama at Birmingham (UAB) Life-Space Assessment – questionnaire) and depressive symptoms (Centre for Epidemiological Studies Depression Scale, CES-D) were assessed. Other factors examined included sociodemographic factors, difficulties walking 500 m, number of chronic diseases and the sense of autonomy in participation outdoors (subscale of Impact on Participation and Autonomy questionnaire). Results: Poorer life-space mobility was associated with higher prevalence of different dimensions of depressive symptoms. The associations were partially mediated through walking difficulties, health and the sense of autonomy in participation outdoor activities. Conclusion: Poorer life-space mobility interrelates with higher probability for depressive symptoms, thus compromising older adults’ mental wellbeing. A focus on older adults’ life-space mobility may assist early identification of persons, who have elevated risk for depressive symptoms. The association between life-space mobility and depressive symptoms should be studied further utilizing longitudinal study designs to examine temporality and potential causality.

Objective: To examine the association between perceived environmental barriers to and facilitators for outdoor mobility with life-space among older people. Methods: Community-dwelling, 75- to 90-year-old people (n = 848) were interviewed face-to-face using standard questionnaires. The Life-Space Assessment (LSA), indicating distance and frequency of moving and assistance needed in moving (range 0-120), was used. Environmental barriers and facilitators outdoors were self-reported. Results: Altogether, 41% (n = 348) of the participants had restricted life-space (LSA score < 60). Those reporting one or more environmental barriers had more than double the odds for restricted life-space compared with those reporting no barriers after adjustments for ill health, functioning, and socioeconomic status (SES) differences. Similarly, those reporting four to seven facilitators had lower odds for restricted life-space compared with those reporting three or fewer facilitators. Discussion: Perceptions of one’s environment may either constrain or extend older people’s life-space. Longitudinal studies are needed to study the causality of the findings.

Population aging increases the need for knowledge on positive aspects of aging, and contributions of older people to their own wellbeing and that of others. We defined active aging as an individual’s striving for elements of wellbeing with activities as per their goals, abilities and opportunities. This study examines associations of health, health behaviors, health literacy and functional abilities, environmental and social support with active aging and wellbeing. We will develop and validate assessment methods for physical activity and physical resilience suitable for research on older people, and examine their associations with active aging and wellbeing. We will examine cohort effects on functional phenotypes underlying active aging and disability. For this population-based study, we plan to recruit 1000 participants aged 75, 80 or 85 years living in central Finland, by drawing personal details from the population register. Participants are interviewed on active aging, wellbeing, disability, environmental and social support, mobility, health behavior and health literacy. Physical activity and heart rate are monitored for 7 days with wearable sensors. Functional tests include hearing, vision, muscle strength, reaction time, exercise tolerance, mobility, and cognitive performance. Clinical examination by a nurse and physician includes an electrocardiogram, tests of blood pressure, orthostatic regulation, arterial stiffness, and lung function, as well as a review of chronic and acute conditions and prescribed medications. C-reactive protein, small blood count, cholesterol and vitamin D are analyzed from blood samples. Associations of factors potentially underlying active aging and wellbeing will be studied using multivariate methods. Cohort effects will be studied by comparing test results of physical and cognitive functioning with results of a cohort examined in 1989–90. The current study will renew research on positive gerontology through the novel approach to active aging and by suggesting new biomarkers of resilience and active aging. Therefore, high interdisciplinary impact is expected. This cross-sectional study will not provide knowledge on temporal order of events or causality, but an innovative cross-sectional dataset provides opportunities for emergence of novel creative hypotheses and theories.