Purpose, Frequency, and Mode of Transport by Which Older Adults Leave Their Home-A Cross-Sectional Analysis

Association between choices of transportation means and instrumental activities of daily living: observational cohort study of community-dwelling older adults

INTRODUCTION

The association between the physical health of older people and the frequency of going out has been reported, and in recent years, local governments have developed transportation support programs for older people. Although previous studies show an association between the frequency of going out and functional health status, little has been reported on the impact of the choice of means of transport on instrumental activities of daily living (IADL).

OBJECTIVE

To evaluate the association between choice of transportation means and the risk of decline in IADL among older adults.

METHODS

We conducted an observational, population (community-dwelling)-based cohort study using data from the Resident Health Status Survey, and longitudinal panel data at 2-time points in 2016 and 2019. In addition, we combined this panel data and a database on people who were certified as requiring long-term care to identify participants' IADL. The propensity score matching method was used to classify the respondents into two groups, "active means of transportation" and "passive means of transportation," and determine the risk of a decline in means-tested independence after 3 years.

RESULTS

Active means were used by 6,280 (76.2%) and passive means were used by 1,865 (22.6%). 999 (12.1%) individuals declined in IADL in 2019. The results of the comparison by balancing the attributes of "active means of transportation" and "passive means of transportation," with propensity score matching, showed that "passive means of transportation" were more likely to be "active" than "passive means of transportation," and "active" was more likely to be "passive" The risk of IADL decline was significantly higher than that of "active means of transportation" with an RR of 1.93 (95% CI: 1.62-2.30).

CONCLUSION

Passive means of transportation in older adults could be a possible risk for decreasing IADL 3 years later. Increasing the number of opportunities and places in the community for older adults to use active means of transportation may be effective in encouraging socially independent living among older adults.

The relationship of weather with daily physical activity and the time spent out of home in older adults from Germany – the ActiFE study

Background

There is a need for a comprehensive evaluation of the associations between varieties of weather conditions on the time spent out-of-home (TOH) and on walking duration (WD) among older adults. We aim to investigate the extent to which various weather parameters (temperature, solar radiation, sunshine duration, humidity, windspeed, and rain) determine daily WD the TOH in older adults.

Methods

The ActiFE (Activity and Function in Older People in Ulm) study is a prospective study of participants aged 65 years or older who wore an accelerometer and kept a movement diary in up to three temporally separated waves from 2009 to 2018 for a duration up to seven days per wave (up to three weeks in summary). We used weather data from a weather station near the participants‘ homes. Age-adjusted and gender-stratified generalized mixed models were used to predict WD and TOH (with 95% confidence interval (CI)) within and between weather categories. Generalized additive models were computed for the single predictions at the weather quartile boundaries. Cubic splines (with 95% pointwise confidence bands (CB)) visualized the continuous course of the weather values.

Results

Higher temperatures, solar radiation and more hours of sunshine, led to an increase in WD and TOH, while higher precipitation, humidities and windspeeds led to a decrease. Women had in general higher WD and TOH times than men.

Conclusions

Our data suggest that weather parameters have a considerable influence on PA and TOH. Future analyses and interpretation of PA data should therefore account for weather parameters.

Supplementary Information

The online version contains supplementary material available at 10.1186/s11556-022-00286-0.