A simulation of allocation of participants engaging in group activities at community salons: Accessibility and self-stigma.

Community salons are places where older adults receive preventive healthcare and enjoy recreational activities. In Japan, some older adults are reluctant to attend group activity programs at community salons because they do not want to be seen by their neighbors as being elderly who need support from others, even though those activities are meant to prevent functional decline. The phenomenon can be conceptualized as self-stigma of community salon participation, which is a factor explaining why older adults hesitate to participate and some opt for activities at facilities farther away. This paper proposes an allocation problem (considering both accessibility and self-stigma within a Japanese context), demonstrating that participants go to facilities that are farther away, not just those that are closest. The allocation problem is expected to provide local public health agencies with a normative model to assess participants' current allocation (compared with the solutions) and to simulate how best to facilitate older adults' participation or intergroup contact (between those with and without self-stigma). Solutions to the allocation problem are analyzed regarding activity participation, intergroup contact, and distance from participants' home to allocated facilities. Results from the simulation in a virtual city environment show that there could be a segregation of activity groups between people with and without self-stigma. From a comparison among solutions from different geographical settings of residents and facilities, people without self-stigma are less likely to sacrifice their accessibility to allocated facilities in the case of uneven distribution. On the other hand, a larger number of participants with self-stigma is expected, especially in the case of concentrated residential location. The findings suggest that policymakers should consider both the geographical distribution of residents and facilities, the impact of self-stigma, and intergroup contact when they discuss how the policies for older adults' social participation can best result in greater social benefits.

Change in walking steps and association with built environments during the COVID-19 state of emergency: A longitudinal comparison with the first half of 2019 in Yokohama, Japan.

In Japan, a state of emergency (SoE) was declared in early April 2020 until late May in response to the first wave of the coronavirus disease (COVID-19). This longitudinal study analyzed the step counts of 18,817 citizens in Yokohama city in the first half of 2020 compared to the previous year, and investigated the association between the change in step counts and the individuals' neighborhood environment by sex and age using generalized linear mixed models. Step counts decreased especially in women and non-elderly people during the SoE. Older women were more susceptible to the neighborhood environment: high walkability (i.e., high population density, proximity to railway stations) adversely affected their step counts, whereas proximity to large parks came to have a positive effect during the SoE.

How Does Urban Farming Benefit Participants' Health? A Case Study of Allotments and Experience Farms in Tokyo.

In Japan, the world's most rapidly aging country, urban farming is attracting attention as an infrastructure for health activities. In Tokyo, urban residents generally participate in two types of farming programs: allotments and experience farms. The availability of regular interaction among participants distinguishes these two programs. We quantitatively examined the difference in changes in self-reported health status between participants in these two types of urban farming. We obtained retrospective cross-sectional data from questionnaire surveys of 783 urban farming participants and 1254 nonparticipants and analyzed the data using ordinal logistic regressions. As a result, compared with nonparticipants, participants in both types of urban farming reported significantly improved self-rated health (SRH) and mental health (MH). After controlling for changes in their physical activity (PA), although participants in allotments did not report significant improvement in SRH and MH, those in experience farms did, suggesting that their health improvement was not only caused by an increase in PA but also by social interaction among participants. From the perspective of health promotion, public support is needed not only for the municipality's allotments but also for the experience farms operated by the farmers themselves.

Step Counts of Middle-Aged and Elderly Adults for 10 Months Before and After the Release of Pokémon GO in Yokohama, Japan.

BACKGROUND: Smartphones have been integrated into our society and are expected to serve as tools to improve health outcomes. In the summer of 2016, Pokémon GO, a location-based augmented reality game for smartphones was released; it attracted attention from the perspective of health, especially with its potential to increase physical activity (PA). A few studies have compared objectively measured step counts before and after the release of the game; however, they were conducted over a short study period and evaluated only young people. OBJECTIVE: The objective of this study was to confirm whether there was a difference in step counts between middle-aged and elderly players and nonplayers before and after the release of Pokémon GO. METHODS: A total of 46 players and 184 nonplayers aged ≥40 years were matched for sex, age group, and PA level; they were respondents to a questionnaire randomly sent to citizens who were given free pedometers by Yokohama city. Their play status was identified through the questionnaire. To investigate the change in step counts before and after the release of Pokémon GO according to play status, a 2-way repeated-measures analysis of variance was performed. Step counts 1 month before the release of the game were compared with those 8 months after the release. In addition, subgroup analyses according to sex, age group, PA level, and subjective health status were performed. RESULTS: The mean ages of players and nonplayers were 56.5 (SD 9.9) years and 57.3 (SD 9.6) years, respectively, and the mean baseline step counts of players and nonplayers were 7641.8 (SD 2754.5) and 7903.3 (SD 2674.7), respectively. There was no significant difference in the age and baseline step counts according to a t test (2-tailed). In the analysis of all samples, the interaction between play status and time effect was significant for 3 of 8 months after release. In the subgroup analyses, the interaction was significant for 3 months in men, 7 months in the 55-64-year-old group, 2 months in workers, 4 months in the active group in PA level, and 2 months in participants with subjectively good health. The interaction was significant for only 1 month, at most, in other subgroups. CONCLUSIONS: The present study confirmed a difference in step counts between players and nonplayers before and after the release of Pokémon GO. According to our analysis, step counts were higher until 7 months after the release. The player group maintained their step counts in winter, despite the decrease in step counts of nonplayers. In subgroup analyses, players were more likely to be men, aged <55 years, workers, active, and subjectively in good health.

Associations between seasonal meteorological conditions and the daily step count of adults in Yokohama, Japan: Results of year-round pedometer measurements in a large population.

People's year-round interpersonal step count variations according to meteorological conditions are not fully understood, because complete year-round data from a sufficient sample of the general population are difficult to acquire. This study examined the associations between meteorological conditions and objectively measured step counts using year-round data collected from a large cohort (N = 24,625) in Yokohama, Japan from April 2015 to March 2016. Two-piece linear regression analysis was used to examine the associations between the monthly median daily step count and three meteorological indices (mean values of temperature, temperature-humidity index (THI), and net effective temperature (NET)). The number of steps per day peaked at temperatures between 19.4 and 20.7 °C. At lower temperatures, the increase in steps per day was between 46.4 and 52.5 steps per 1 °C increase. At temperatures higher than those at which step counts peaked, the decrease in steps per day was between 98.0 and 187.9 per 1 °C increase. Furthermore, these effects were more obvious in elderly than non-elderly persons in both sexes. A similar tendency was seen when using THI and NET instead of temperature. Among the three meteorological indices, the highest R2 value with step counts was observed with THI in all four groups. Both high and low meteorological indices discourage people from walking and higher values of the indices adversely affect step count more than lower values, particularly among the elderly. Among the three indices assessed, THI best explains the seasonal fluctuations in step counts.

Association between daily physical activity and neighborhood environments.

OBJECTIVE: Previous studies on the association between physical activity (PA) and neighborhood environments (NE) focused on either objectively measuring the NE or the residents' perception of NE. Here, we investigate which actual or perceived NE is associated with residents' PA in Japan. METHODS: Two regions with an objectively assessed high and low residential density, land use mix-diversity, and street connectivity, respectively, were identified in one city. The subjects were selected using a stratified random sampling method by sex and age in each region. The NE of the subjects was objectively measured using the Geographic Information System (GIS), and the subjects' perception of the NE was assessed using a questionnaire. The daily total number of walking steps was measured with an accelerometer, and walking and cycling time were assessed by a questionnaire. RESULTS: For the female subjects, the mean cycling time, subjectively assessed as a means of transport, was significantly longer in the group with a high GIS score for the number of land use types, while the score for total number of walking steps was significantly higher among those who were aware of places to walk to, and cycling time for transport was longer for those who perceived an accessibility to post offices, banks/credit unions, gymnasiums/fitness facilities, and amusement facilities in their neighborhood. For the male subjects, the score for walking time for leisure was longer for those who perceived aesthetics and an accessibility to parks, and the score for total walking steps was significantly higher for those who perceived an accessibility to bookstores or rental video stores in their neighborhood. CONCLUSIONS: The results to this study demonstrate that daily PA was high among female subjects living in a NE with land use mix-diversity, and who had an awareness of places to walk to and the accessibility to facilities for daily necessities in their neighborhood. For male subjects, daily PA was high among those who perceived the aesthetics of and accessibility to facilities for pleasure in their neighborhood. Further research is needed to determine the association between PA and NE on the basis of sex differences.