Search

Active mobility, encompassing walking and cycling for transportation, is a potential solution to health issues arising from inadequate physical activity in modern society. However, the extent of active mobility's impact on individual physical activity levels, and its association with health as mediated by physical activities, is not fully quantified. This study aims to clarify the direct relationship between active mobility usage and individual health, as well as the indirect relationship mediated by physical activity, with a focus on varying levels of physical activity intensity. Utilizing data from the 2017 U.S. National Household Travel Survey (NHTS), we employed Poisson regression to predict active mobility usage based on socio-demographic and household socio-economic characteristics. A Structural Equation Model (SEM) was then used to investigate the direct and indirect effects of active mobility on individual health, mediated by physical activity. We further segmented individuals according to their intensity of physical activity to examine how such effect differs between different levels of physical activity. The study demonstrates that active mobility usage positively correlates with both the amount and intensity of physical activity. The effect of active mobility on individual health includes a direct positive effect (29% for intensity, 67.7% for amount) and an indirect effect mediated by physical activity (71% for intensity, 32.3% for amount). Notably, the mediation effect of active mobility on health is more substantial in the context of vigorous physical activities compared to light or moderate activities. Our findings reveal a significant positive influence of active mobility on individual health, encompassing both direct and indirect effects mediated by physical activities. These results quantitatively underscore the health benefits of active mobility and suggest the importance of promoting active mobility as a strategy to improve public health. • We study the triadic relation between active mobility, physical activity, and health. • Active mobility increases both the amount and intensity of physical activity. • Active mobility has direct, positive effect on individual health. • Active mobility also has indirect effect on health mediated by physical activity. • Vigorous activities have greater mediation effect than light/moderate activities. [ABSTRACT FROM AUTHOR]

Survey data on adherence to COVID-19 prevention measures have often been used to inform policy makers and public health professionals. Although behavioural survey data are often considered to suffer from biases, there is a lack of studies critically examining the validity, reliability and responsiveness of population-survey data on behaviour throughout the COVID-19 pandemic. We studied the measurement properties of the COVID-19 Adherence to Prevention Advice Survey (CAPAS), a novel questionnaire implemented in a repeated cross-sectional (i.e., 'Trend') Study and a Cohort Study in the Netherlands during the COVID-19 pandemic. The CAPAS is a novel questionnaire developed in March 2020, with the aim to assess social activity and adherence to COVID-19 prevention measures. Items were formulated to minimise social desirability and aid memory retrieval. Based on the COSMIN framework, we selected the most suitable test for each behavioural question. We investigated criterion validity of vaccination, testing behaviour and mobility by comparing (aggregate) trends of self-reported behaviour to trends in objective data. Responsiveness of mobility and ventilation behaviour was assessed by studying whether self-reported behaviour changed following contextual (e.g., policy) changes. Test-retest reliability of hygienic behaviour, wearing face masks, ventilation behaviour and social distancing was examined during a period in which the context was stable. Overall, aggregate trends in self-reported behaviour closely corresponded to trends in external objective data. Self-reported behaviours were responsive to contextual changes and test-retest reliabilities were adequate. For infrequent behaviours reliability improved when measures were dichotomised. We were able to examine national representativeness for vaccination, which suggested a modest overestimation of on average 3.7%. This study supports the suitability of using carefully designed, self-reported surveys (and the CAPAS specifically) to study changes in protective behaviours in a dynamic context. • CAPAS was used to measure (changes in) preventive behavior of the Dutch population. • We studied its criterion validity, responsiveness and test-retest reliability. • Results support the validity, responsiveness and reliability of the survey. • Carefully designed surveys can be used to study (changes in) protective behavior. [ABSTRACT FROM AUTHOR]

From the start of the pandemic, questions were raised concerning how the pandemic could change or even transform relationships to our living environments. COVID-19 has had a disproportionate impact on the health and well-being of older people due to the increased risk of severity of the disease with both advancing age and associated co-morbidities. Restrictions on the movement of older people have also been more severe, with many countries imposing restrictions based on chronological age. In Portugal, confinement measures were targeted at older persons in terms of sheltering-at-home orders for those over 70. This paper looks at the impact of these restrictions on the lives of older people and asks what we can learn from the pandemic about the concept of age-friendly cities (WHO, 2007a). We look at the lived experience of older people to understand how their well-being and mobility were impacted during the crisis and its aftermath. The study was undertaken in four urban areas: Aveiro, Coimbra, Lisbon, and Faro. Data was collected using semi-structured interviews analysed using a process of thematic coding based on the eight pillars of the WHO's Age-Friendly City Checklist (WHO, 2007b). The results are discussed using conceptualisations from the new mobilities paradigm: existential mobility, connection and (im)mobility governance, offering new ways of thinking about age-friendliness in and out of crisis. • Measures to contain COVID-19 were aimed at older people. • Interview data was analysed to understand the impact in Portugal. • Participants reported an existential need to move and connect. • These findings are essential to understanding age-friendly places. • A multi-dimensional framework of mobility is a necessary starting point for AFCC. [ABSTRACT FROM AUTHOR]

Social practice theories have attracted attention for their potential insights into how to change transport systems towards "healthier" states. However, most evidence is from small-scale qualitative case studies. We explored whether a synthesis of qualitative evidence on mobility practices in one country, informed by meta-ethnography and a Bourdieusian approach to practice, could produce theory that is of sufficient abstraction to be transferable, yet also capable of informing intervention planning. The synthesis identified three third order constructs: mobility practices result from habitus plus capital in fields; specific configurations of local mobility practices are shaped, but not determined, by material infrastructures and social structures; and changes in practice happen across a number of scales and temporalities. This body of evidence as a whole was then interpreted as an integrative "storyline": Mobility systems are complex, in that outcomes from interventions are neither unilinear nor necessarily predictable from aggregations of individual practice changes. Infrastructure changes may be a necessary, but not sufficient, condition for change. Moving systems towards "healthier" states requires changing habitus such that "healthier" practices align with fields, and that interventions take sufficient account of the power relations that materially and symbolically constrain or enable attachments to and changes in mobility practices. Meta-ethnography is a useful approach for integrating qualitative evidence for informing policy. • Mobility practices result from habitus embedded in diverse overlapping fields. • Fields of transport overlap with others like sociability and sport. • Social and material infrastructures are important, but they do not determine change. • Practices are malleable as actors change fields, acquire/lose capital, or social fields change. [ABSTRACT FROM AUTHOR]

Despite the growing interest in the relationship between physical mobility and mental health in health geography, there has been less attention to mobility in the non-physical imaginary realm and its effects on health. This study attempts to explore whether and how 'imaginary mobilities' can be conducive to mental health. It conceptualised imaginary mobilities and designed 'Imaginary Travels' as a type of imaginary mobility. To verify the research questions, 50 young unemployed people living in Seoul, South Korea, were examined (experimental group: n = 25; control group: n = 25). The results demonstrate the immediate and long-term therapeutic effects of Imaginary Travels as imaginary mobility using three psychological questionnaires in the quantitative analysis and data derived from interviews and diary entries in the qualitative analysis. The quantitative statistical analysis revealed significant effects in the experimental group in contrast to the control group. The qualitative analysis indicated that imaginary mobilities are conducive to mental health through immersing, exploring, and practising inner geographies. These findings have implications for understanding mobilities and their associated therapeutic qualities in the imaginary realm beyond the physical realm. • Mobilities in the non-physical imaginary realm beyond the physical realm can be therapeutic. • 'Imaginary mobilities' refers to movements in the imaginary realm accessed by active imagination. • Significant improvements in mental health from participation in the experiment 'Imaginary Travels'. • Imaginary mobilities are conducive to mental health by immersing, exploring, and practising inner geographies. [ABSTRACT FROM AUTHOR]

During the pre-vaccine period, the success of containing the spread of COVID-19 depends upon how communities respond to non-pharmaceutical mitigation policies such as social distancing, wearing of masks, retail and dining constraints, crowd limitation, and shelter-in-place orders. Of these policies, shelter-in-place and social distancing are of central importance. By using county-level mobility data as a measure of a community's voluntary compliance with social distancing policies, this study found that counties who received strong state social distancing policy directives and who had a high pro-social character showed lower mobility on retail and recreation mobility and grocery and pharmacy mobility (better social distancing) after states reopened from shelter-in-place orders. Counties that experienced a longer duration of shelter-in-place orders showed higher mobility (less social distancing), implying that the duration of the shelter-in-place order deteriorated social distancing response after reopening. This may be because reopening sent a "safe" signal to these counties or resulted in a response to the pent-up demand inducing higher mobility. The results indicate that implementing shelter-in-place and social distancing policies to slow down the transmission of COVID-19 were not necessarily effective in motivating a county to reduce mobility voluntarily. A county's pro-social character and the duration of shelter-in-place order should be considered when designing COVID-19 mitigation policies. • This study explores factors affecting voluntary compliance behavior after lockdowns. • A community's pro-social intention needs to be separated from community capital. • A longer duration of lockdowns leads to people not adhering to social distancing. • Pro-social intention increases voluntary compliance behavior after lockdowns. [ABSTRACT FROM AUTHOR]

Women's economic and social empowerment is facilitated by their ability to move around independently and safely. However, in many developing countries women's physical mobility is restricted by social norms, structural impediments related to poor quality of roads and transport systems, and security issues. Restrictions on female physical mobility and low levels of empowerment can also have negative implications for women's access to healthcare services. Mobile phones could help connect women to information and social networks and thus also strengthen their bargaining power within the household. Here, we use nationally representative data from 39,523 women in India collected in 2011–12 to analyse associations between women's use of mobile phones and selected indicators of female autonomy and empowerment. Results indicate that women's mobile phone use is positively associated with their physical mobility range and use of non-surgical contraceptives, whereas it is negatively associated with surgical contraceptive methods. We also analyse to what extent these associations are influenced by other socioeconomic and cultural factors. Our findings suggest that mobile phones can play an important positive role for women's empowerment in India. • Mobile phones seem to contribute to female autonomy and empowerment in India. • Women's mobile phone use is positively associated with their physical mobility. • Usage of mobile phones is positively associated with non-surgical contraceptive use. • Mobile phones can help connect women to information and social networks. [ABSTRACT FROM AUTHOR]

Investigating the spatial epidemic dynamics of COVID-19 is crucial in understanding the routine of spatial diffusion and in surveillance, prediction, identification and prevention of another potential outbreak. However, previous studies attempting to evaluate these spatial diffusion dynamics are limited. Using city as the research unit and spatial association analysis as the primary strategy, this study explored the changing primary risk factors impacting the spatial spread of COVID-19 across Chinese cities under various diffusion assumptions and throughout the epidemic stage. Moreover, this study investigated the characteristics and geographical distributions of high-risk areas in different epidemic stages. The results empirically indicated rapid intercity diffusion at the early stage and primarily intracity diffusion thereafter. Before countermeasures took effect, proximity, GDP per capita, medical resources, outflows from Wuhan and intercity mobility significantly affected early diffusion. With speedily effective countermeasures, outflows from the epicenter, proximity, and intracity outflows played an important role. At the early stage, high-risk areas were mainly cities adjacent to the epicenter, with higher GDP per capita, or a combination of higher GDP per capita and better medical resources, with more outflow from the epicenter, or more intercity mobility. After countermeasures were effected, cities adjacent to the epicenter, or with more outflow from the epicenter or more intracity mobility became high-risk areas. This study provides an insightful understanding of the spatial diffusion of COVID-19 across cities. The findings are informative for effectively handling the potential recurrence of COVID-19 in various settings. • Changing risk factors of spatial diffusion throughout the whole stage are considered. • A transfer diffusion at early stage and a local diffusion later are verified. • At early stage, developed cities with more inter-city mobilities had higher risk. • With effective interventions, cities with more intra-city mobilities had higher risk. • Proximity and outflows from epicenter were significant factors all the time. [ABSTRACT FROM AUTHOR]

We examine changes in the level of physical health using longitudinal data on people aged 50+ from nine European countries covering the years from 2004 to 2017. For this purpose we develop a novel approach to identify age, period and cohort effects, which, in contrast to methods relying on mechanical restrictions, uses a step-wise estimation combining information on physical health with data on cognitive abilities. The approach relies on two important assumptions. First, we estimate relative differences between cohorts in cognitive abilities assuming that only age and cohort effects are responsible for their evolution. We then use the estimated proportional cohort differences to restrict the differences between cohorts in health development. The method is applied to the dynamics of four measures of poor health: weak grip strength, limitations in mobility, in activities of daily living (ADL) and in instrumental activities of daily living (IADL). Our results suggest insignificant or adverse period effects for the evolution of physical health. For example, the difference in likelihood of poor health as measured through weak grip strength between 2004 and 2017 is 2.1 percentage points, p.p., (95% CI -4.3, 8.4), and the corresponding numbers for the other three measures are respectively: 2.0 p.p. (CI -1.6, 5.6); 2.2 p.p. (CI -0.2, 4.7) and 3.0 p.p. (CI 0.3, 5.8). These estimates, which reflect the implications of time over the period of 14 years, are relatively low, but they highlight the surprising fact that any improvements in health in the examined period have been driven essentially by cohort effects. Our evidence is consistent with some earlier studies and sheds new light on recent (pre-pandemic) trends in life expectancy. It also raises questions concerning efficacy of healthcare and equal access to high quality care – the factors one would consider as important determinants of period effects in health. • We propose a step-wise approach to identify age-period-cohort effects in health. • Data on dynamics of cognitive abilities is used in the identification process. • We find insignificant or negative effects of time for health development in Europe. • Results may be a signal reflecting required policy changes in European healthcare. [ABSTRACT FROM AUTHOR]

During the COVID-19 pandemic, some countries introduced early evening curfews. Several studies try to measure the effectiveness of such measures across different countries, but disentangling competing effects can be elusive. We examined the impact of an early evening curfew on mobility by studying a shift in curfews from 9pm to 6pm in Greece using Google mobility data. We followed a difference-in-differences (DiD) econometric approach, where we compared trends in mobility in residential spaces as well as groceries and pharmacies, before and after the introduction of the 6pm curfew in Attica with trends in three other comparable Regions. We found little or no evidence of an effect of the early curfew on daily mobility relating to groceries and pharmacies, and that an 18.75% reduction in hours where people were allowed to leave home led to a relatively small increase in time spent in residential spaces. This less-than-proportionate reduction in mobility outside the household suggests a possibility that the curfew led to more people coinciding in indoor public spaces, such as grocery shops – which constitutes a contagion risk factor. Results should be treated with caution, especially with regards to the magnitude of any effect, as Google mobility data do not report the time of the day, so the time density of activities cannot be estimated. Lockdowns and other measures are necessary to tackle Covid-19, but it is important to avoid substitution by activities that contribute further to spreading the virus. Interventions should therefore be based on a thorough analysis of human behaviour. • A shift from 9pm to 6pm curfews were introduced in Attica, Greece, to fight COVID-19. • We used a difference-in-differences approach using other regions as control groups. • There was a small relative increase in time spent in residential spaces. • The early curfew had little or no effect on daily grocery and pharmacy mobility. • This might have led to more people coinciding in indoor spaces, such as supermarkets. [ABSTRACT FROM AUTHOR]

Psychological traits, such as character strengths, have been already established in experimental studies as factors playing a favorable role for well-being and potentially reducing the risk of depression. Positive associations have been also reported between character strengths and physical fitness, self-reported physical and mental health. Yet, evidence with large scale, epidemiological data on the role of character strength of honesty and integrity (CSHI) in shaping subsequent health outcomes and daily functioning remains unexplored. We examined whether the character strength of honesty and integrity was prospectively associated with six physical health outcomes, two depression outcomes, and two daily functioning outcomes. We used data from the Health and Retirement Study obtained from a sample of 9813 older adults. We found that after a 4-year follow-up period, compared with individuals who scored the lowest in CSHI, participants who scored in the third tertile had a 18% lower risk of lung disease (RR = 0.824; 95% CI = 0.732; 0.927), and a 11% lower risk of depression (RR = 0.891; 95% CI = 0.806; 0.986). They also reported lower limitations in mobility (β = −0.048; 95% CI (−0.089; −0.008)] and less difficulty in instrumental activities of daily living [β = −0.088; 95% CI (−0.128; −0.047)]. These associations were independent of demographics, prior socioeconomic status, psychological factors, health conditions, and health behaviors. Policy makers and practitioners may consider the character strength of honesty and integrity as a factor for promoting healthy longevity, limiting risks of becoming physically inactive and reducing risk of physical and mental disease. • The role of character strength of honesty and integrity (CSHI) for health is examined. • CSHI is a significant predictor of subsequent physical and mental health outcomes. • CSHI is significantly associated with subsequent daily functioning outcomes. • CSHI may be a factor for promoting healthy longevity. [ABSTRACT FROM AUTHOR]

Although several studies have demonstrated the associations between lifetime cumulative adversity and late-life physical health, many of them were conducted at a single time point and examined events that occurred in childhood only. Less is known about the effect of lifelong adversity on the aging process over time. This study aimed to investigate the impact of cumulative adversity on the accelerated deterioration in health over time - mobility limitation and self-rated state of health in old age. This study provides a 14-year, 6-time-point follow-up on a representative sample of Europeans using the SHARE Project - longitudinal survey panel. The sample included a total of 7195 respondents aged 65 and older from nine countries in Europe. The outcome measurements were the number of mobility limitations and self-rated health – trajectories along 6 measurements. The independent variable was Lifetime Cumulative Adversity, and the analyses included also control variables – age, gender, socioeconomic status, depression, and country. Time-based Latent Growth Curve Modeling has demonstrated that the effects of Lifetime Cumulative Adversity were significant on both health measures, by means of the intercepts and the slopes: Greater experience of adversities correlated with a higher physical health impairment at baseline and a higher decline along time. The effects of self-rated health were weaker than the effects of mobility limitations. Given that the populations of numerous countries are rapidly aging, understanding the risk factors associated with health deterioration is important, especially for policymakers and medical health care experts, to raise awareness of the relationship between lifelong adversity and health decline and to build preventive interventions to deal with these consequences. • Evaluated a 14-year growth model of cumulative adversity and late-life physical health. • Used Survey of Health, Ageing and Retirement in Europe as database. • Higher cumulative adversity was related to an accelerated decline in health. • The effects on mobility limitation were stronger than self-rated health. [ABSTRACT FROM AUTHOR]

Despite policy commitments to support ageing in place, we know very little about the everyday realities and experiences of older people living in different environmental circumstances, with varying personal capabilities. This paper: 1) examines the valued place-based functionings of older people through the use of geo-spatial and in-situ methods, where functionings are defined as states of being and doing, and place-based functionings are defined as places, activities, interactions, routes, and routines that support these beings and doings; and 2) demonstrates the utility of a capability approach by amalgamating the interconnected concepts 'ageing in place' and 'ageing well'. Three in-depth individual experiences of ageing at home in a Dublin (Ireland) suburb show how differing health and mobility challenges are managed, and illustrate how conceptions of ageing well in place can be identified from geographically-grounded lifeworlds. Participants' place-based functionings are identified by combining qualitative and geo-spatial approaches through the use of annotated maps, using data obtained from traditional interviews, go-along interviews, and mapping exercises. Results demonstrate the diversity of place-based functionings valued by each individual, and how functionings are negotiated depending on different needs, wishes, and health or mobility challenges. Results also highlight the importance of supportive environments and social supports in enabling older people to realise their most valued functionings over time, which include being able to get out and about, engage and connect with others, carry out daily tasks and errands confidently, and remain independent. By paying attention to subjectively valued place-based functionings, as well as the specific supports required to sustain them, we can facilitate older people to not just age in place, or age well, but to age - as well as they can - in place. • This article considers ageing well in place through a Capability Approach lens. • Geo-spatial and qualitative methods can illustrate place-based functionings. • Older people should be supported to age – as well as they can – in place. [ABSTRACT FROM AUTHOR]

Community vulnerability is widely viewed as an important aspect to consider when modeling disease. Although COVID-19 does disproportionately impact vulnerable populations, human behavior as measured by community mobility is equally influential in understanding disease spread. In this research, we seek to understand which of four composite measures perform best in explaining disease spread and mortality, and we explore the extent to which mobility account for variance in the outcomes of interest. We compare two community mobility measures, three composite measures of community vulnerability, and one composite measure that combines vulnerability and human behavior to assess their relative feasibility in modeling the US COVID-19 pandemic. Extensions – via temporally dependent fixed effect coefficients – of the commonly used Bayesian spatio-temporal Poisson disease mapping models are implemented and compared in terms of goodness of fit as well as estimate precision and viability. A comparison of goodness of fit measures nearly unanimously suggests the human behavior-based models are superior. The duration at residence mobility measure indicates two unique and seemingly inverse relationships between mobility and the COVID-19 pandemic: the findings indicate decreased COVID-19 presence with decreased mobility early in the pandemic and increased COVID-19 presence with decreased mobility later in the pandemic. The early indication is likely influenced by a large presence of state-issued stay at home orders and self-quarantine, while the later indication likely emerges as a consequence of holiday gatherings in a country under limited restrictions. This study implements innovative statistical methods and furnishes results that challenge the generally accepted notion that vulnerability and deprivation are key to understanding disparities in health outcomes. We show that human behavior is equally, if not more important to understanding disease spread. We encourage researchers to build upon the work we start here and continue to explore how other behaviors influence the spread of COVID-19. • Shows vulnerability coupled with mobility are most effective for modeling COVID-19. • Demonstrates social distancing limits the spread of COVID-19. • Challenges using vulnerability and deprivation to explain disparities in health. • Confirms that capturing human behavior is crucial for understanding disease spread. • Elucidates the value of using novel spatiotemporal methods to model disease spread. [ABSTRACT FROM AUTHOR]

During the early 2020 COVID-19 pandemic, several US states had implemented stay-in-place orders (SIPOs) with varying degrees of stringency which resulted in inter-state differences in mobility (i.e., longer presence at home). We test whether the inter-state differences in mobility influenced changes in reported psychological distress. Our study is not on the surge in COVID-19 in the later part of 2020. To identify whether the change in state-level mobility is associated with the change in individuals' reported psychological distress during the early COVID-19 pandemic and whether the intensity of the association varies by older individuals, females, and nonwhites. We use differences in state-level mobility and change in reported psychological distress between the two dates of interviews of 5,132 individuals who participated in March and April 2020 waves of Understanding America Study (UAS). We find support for modest effects, i.e., a one standard deviation decline in mobility was associated with a 3.02% higher psychological distress [95% CI: 0.4%–5.64%], and the effects are robust to controlling for reported changes in exercise intensity, alcohol consumption, cannabis use, recreational drug use, and meditation intensity. We also find support for a stronger association for females, but not for older individuals or non-whites. Further, we do not find support for the mediation effects from change in chance of running out of money or change in chance of getting COVID-19. Our findings show that reduced mobility from lockdowns during the early COVID-19 wave in the US is associated with a modest increase in reported psychological distress, especially for females. However, these conclusions should not be construed as a small increase in psychological distress in general, as a variety of non-mobility related factors associated with COVID-19 could have exacerbated psychological distress during the early COVID-19 wave in the US. • Did reduced mobility early in 2020 COVID-19 pandemic affect psychological distress? • Used two waves of Understanding America Study individual survey for analysis. • Found that decline in mobility is associated with modest increase in distress. • Found evidence of stronger association especially among females. [ABSTRACT FROM AUTHOR]

Higher levels of community mobility have been shown to be associated with better physical health, mental health, and quality of life. The ability to move about one's community is also expected to facilitate community participation, which is an aspect of health functioning. This study uses Global Positioning Systems (GPS) technology to track various dimensions of community mobility, such as destinations, time outside the home, and distance traveled, and examine the relationship between these variables and community participation in a sample of individuals with serious mental illnesses (SMI). This population was selected because they are known to have diminished health functioning in terms of their community participation, and the goal is to explore the extent to which mobility limitations may account for this. A total of 103 individuals with serious mental illnesses were recruited from mental health agencies and consented to having their mobility tracked using GPS for 13 days and answering questions about their community-based activities. Greater amount of participation was associated with having more destinations and spending more time out of the house, but not with traveling larger distances and having a greater activity space. None of the mobility variables were related to the number of important participation areas or sufficiency of participation. The findings support the hypothesis that greater mobility is related to more participation, although satisfaction with the degree to which one participates does not appear to be impacted, suggesting that other factors need to be accounted for. Health policymakers and providers should pay attention to community mobility as a factor that affects health outcomes such as participation, in individuals with serious mental illnesses, and other populations. In particular, attending to access to personal transport, public transportation, and other mobility options appears to be important, as well as interventions aimed at encouraging greater community mobility. • Research on relationship between community mobility and participation is limited. • Various aspects of community mobility were measured with GPS-enabled mobile phones. • Amount of participation was associated with destinations and time out of the house. • Community participation was not associated with geographic scope of mobility. • Importance and sufficiency of participation were not related to community mobility. [ABSTRACT FROM AUTHOR]