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Effect of lockdown on activities of daily living in built environment and well-being

Sudhir Kumar Pasala, Lakshmi Gumpeny, Madhu Kosuri … (2020)

In an effort to arrest the spread of COVID-19 infection, a nation-wide lockdown was declared in India in March 2020. To assess how personal built environment affected the citizens in the first few weeks, an explorative online survey was conducted, eliciting responses about the work habits before the lockdown, the psychological well-being, time spent in various activities, characteristics of those who worked from home and sleep patterns. The major difference entailed by thelockdown was a reduction of time and distance to go to their workplace, which was an average of 8.9 km. In terms of diet, subjects who were vegetarian did not experience any difference, unlike those who were non-vegetarians, who reduced the intake of meat. Forced social isolation did not alter the television channels that were viewed. Among those who worked from home, most preferred to work from their bedroom. There was no change in the quality or quantity of sleep during the lockdown. This study in the early weeks of the lockdown documents the way in which individuals lived through it in terms of the built environment at home.

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Review information

DOI:: 10.14293/S2199-1006.1.SOR-ARCH.A78ALX.v1.RUHSVN

License:

This work has been published open access under Creative Commons Attribution License CC BY 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Conditions, terms of use and publishing policy can be found at www.scienceopen.com.

ScienceOpen disciplines: General architecture

Keywords: Built environment,diet,television viewing,work from home,stress,sleep,entertainment

Review text

Many thanks for addressing the review comments in detail. I think that the paper has now been improved.

In addition to Simone Torresin's comments, I would like to make some further suggestions:

Additional discussion on the statistical representativeness of the surveyed sample (both people as well as buildings) would be very welcome.
There appear to be some issues with the text and figure formatting in the PDF format. Also, I would suggest making the figures slightly bigger.
I was wondering if part of the information included in Table 3 could also be displayed in a correlation matrix (together with additional correlations), if you had the time.
A bar chart would be more appropriate to visualise the data contained in the pie charts of Figure 4.
"Night sleep and siesta were significant at a p<0.01 at 95% confidence interval with R2 of 0.06 and 0.09 respectively (Table-3)." > I'm not sure I understand this, the R2 is low?