Who is staying home and who is not? Demographic, socioeconomic, and geographic differences in time spent outside the home during the COVID-19 outbreak in Japan

Hanibuchi, Tomoya; Yabe, Naoto; Nakaya, Tomoki

doi:10.1016/j.pmedr.2020.101306

Cited by 26 publications

(23 citation statements)

References 18 publications

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“…Additionally, sedentary behavior clearly increased among females, similar to previous reports that showed that females became inactive during the outbreak in Japan ( Hanibuchi et al, 2021 , Hino and Asami, 2021 , Makizako et al, 2021 ). Containment measures such as school closure or self-isolation may have increased the burden of housework on females ( Hanibuchi et al, 2021 , Power, 2020 ), making them more inactive.…”

Section: Discussionsupporting

confidence: 88%

“…We found that overall, people became inactive during the first wave of the outbreak; based on the direct relationships estimated by path analysis, especially younger individuals and those living in high-density neighborhoods were more likely have decreased walking behavior. Previous studies have shown a similar trend in outing and walking behaviors ( Adachi et al, 2021 , Hanibuchi et al, 2021 , Hino and Asami, 2021 ), and this could be attributed to more walks for daily activities before the pandemic among younger individuals and residents in urban area, thereby resulting in a significant decrease in the number of steps. Additionally, sedentary behavior clearly increased among females, similar to previous reports that showed that females became inactive during the outbreak in Japan ( Hanibuchi et al, 2021 , Hino and Asami, 2021 , Makizako et al, 2021 ).…”

Section: Discussionsupporting

confidence: 57%

“…Previous studies have shown a similar trend in outing and walking behaviors ( Adachi et al, 2021 , Hanibuchi et al, 2021 , Hino and Asami, 2021 ), and this could be attributed to more walks for daily activities before the pandemic among younger individuals and residents in urban area, thereby resulting in a significant decrease in the number of steps. Additionally, sedentary behavior clearly increased among females, similar to previous reports that showed that females became inactive during the outbreak in Japan ( Hanibuchi et al, 2021 , Hino and Asami, 2021 , Makizako et al, 2021 ). Containment measures such as school closure or self-isolation may have increased the burden of housework on females ( Hanibuchi et al, 2021 , Power, 2020 ), making them more inactive.…”

Section: Discussionsupporting

confidence: 57%

“… Hino and Asami (2021) suggested that proximity to large parks could effectively mitigate decreased walking among female older adults during the SoE. Hanibuchi et al (2021) reported that reduced time spent outdoors is associated with individual attributes such as age, gender, income, or residential location and perception of anxiety related to the infection or the stigma. Moreover, Koohsari et al (2021) revealed that the implementation of working-from-home was associated with decreased work-related physical activity and increased sitting time.…”

Section: Introductionmentioning

confidence: 99%

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Relationships among changes in walking and sedentary behaviors, individual attributes, changes in work situation, and anxiety during the COVID-19 pandemic in Japan

Nagata

Adachi

Hanibuchi

et al. 2021

Preventive Medicine Reports

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Highlights Females, younger people, those living in the highest-density tended to be inactive. Inactivity was related to standby/work-from-home for higher socioeconomic people. Inactivity was related to decreased amount of work for lower socioeconomic people. Decreased physical activity was related to strong anxiety during the pandemic.

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Section: Discussionsupporting

confidence: 88%

Section: Discussionsupporting

confidence: 57%

Section: Discussionsupporting

confidence: 57%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Relationships among changes in walking and sedentary behaviors, individual attributes, changes in work situation, and anxiety during the COVID-19 pandemic in Japan

Nagata

Adachi

Hanibuchi

et al. 2021

Preventive Medicine Reports

Self Cite

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“…Sehingga sangat memungkinkan transmisi penyebaran COVID-19 tidak terkontrol. Dalam beberapa penelitian terdahulu menyebutkan bahwa kepadatan populasi sangat berkorelasi dengan meningkatnya jumlah kasus COVID-19 (Hanibuchi et al, 2020;Sun et al, 2020a Hal ini mengindikasikan jumlah lahan terbangun yang lebih banyak di perkotaan dibandingkan dengan non terbangun mempengaruhi suhu panas kota (Gadrani et al, 2018;Khandelwal et al, 2018;Sumunar et al, 2020).…”

Section: Yogyakarta Termasuk Salah Satu Provinsi DIunclassified

Studi Perbandingan Sebaran Spasial COVID-19 di Yogyakarta dan Gorontalo

Arif

Sumunar

Khotimah

et al. 2021

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Perbedaan sebaran COVID-19 di berbagai negara masih menjadi isu yang terus dikaji karena banyak faktor yang mempengaruhinya. Salah satu faktor yang berkorelasi dengan penyebaran COVID-19 adalah faktor geografis. Indonesia merupakan negara kepulauan terbesar yang memiliki keunikan karena letak dan kondisi geografisnya. Penelitian melihat perbedaan sebaran COVID-19 di dua provinsi di Indonesia yaitu Yogyakarta dan Gorontalo. Secara geografis kedua wilayah ini sangat berbeda. Kondisi iklim pada masing-masing wilayah dilihat berdasarkan suhu permukaan lahan menggunakan citra satelit Landsat 8. Suhu rata-rata tertinggi di provinsi Gorontalo yaitu 34,24°C terdistribusi di kota Gorontalo dan kabupaten Gorontalo. Sedangkan suhu tertinggi di DIY terdistribusi di kota Yogyakarta dengan suhu 32,72°C. Berdasarkan data yang diperoleh Gorontalo merupakan salah satu provinsi di Indonesia yang terdampak paling akhir, namun memiliki memiliki persentase terpapar lebih besar yaitu 0,23% yaitu dibandingkan DIY 0,07%. Sebaran spasial yang mengelompok diperkotaan menunjukkan bahwa mobilitas penduduk dapat menjadi pemicu meningkatnya jumlah kasus COVID-19. Sedangkan faktor-faktor yang diinvestigasi dalam penelitian ini yaitu suhu, lamanya waktu terpapar dan jumlah penduduk tidak menunjukkan pengaruh yang signifikan terhadap persebaran COVID-19.

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Trends in internal migration in Japan, 2012–2020: The impact of the COVID‐19 pandemic

Kotsubo

Nakaya

2022

Population Space and Place

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In the past 10 years or so, there have been growing concerns in Japan that migration trends, such as large in‐migration to the Tokyo metropolitan area (TMA) at the national scale and large movements from the suburbs to the centres at the metropolitan scale, have widened the core–periphery disparities at each scale under national population decline. However, the COVID‐19 pandemic led to unexpected changes in these migration patterns, such as a weakened population concentration in the TMA. This study aims to examine internal migration trends from 2012, on axes of core–periphery in Japan and centre–suburbs in metropolitan areas, and the changes in the migration patterns caused by the pandemic in 2020. First, we prepared intermunicipal origin–destination tables by estimating the suppressed flows in 2012–2020 using the iterative proportional fitting technique, and then we calculated the net migration and migration efficiency indices based on seven area types: centre and suburbs of the TMA, centres and suburbs of major metropolitan areas, centres and suburbs of other metropolitan areas and nonmetropolitan areas. The results indicate that the 2020 migration efficiency in the centre of the TMA drastically dropped to the lowest level during the study period, contrasting with an upward trend in 2012–2019. The pandemic strongly affected the migration patterns from/to and within the TMA, with much net gain in the suburbs from the centre, but the impact of migration efficiencies among the other areas was minimal. These findings can help in providing direction for the postpandemic policy challenge of spatial planning in Japan, for example, the weakened but still widening disparities between the TMA and the other regions and the renewed threat of urban sprawl caused by the increased migration from the centre to the suburbs within the TMA.

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Who is staying home and who is not? Demographic, socioeconomic, and geographic differences in time spent outside the home during the COVID-19 outbreak in Japan

Cited by 26 publications

References 18 publications

Relationships among changes in walking and sedentary behaviors, individual attributes, changes in work situation, and anxiety during the COVID-19 pandemic in Japan

Relationships among changes in walking and sedentary behaviors, individual attributes, changes in work situation, and anxiety during the COVID-19 pandemic in Japan

Studi Perbandingan Sebaran Spasial COVID-19 di Yogyakarta dan Gorontalo

Trends in internal migration in Japan, 2012–2020: The impact of the COVID‐19 pandemic

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