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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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DOI:: 10.14293/S2199-1006.1.SOR-ARCH.AU0B5D.v1.RWMQSZ

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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.

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The paper has improved considerably.

However, I still think that caution is needed in reporting and interpreting the low R2 values. For instance: "There is significant positive relation with 95% confidence interval and R2 =0.18 to “Feeling in General” for the news channels of “News updates on COVID-19 cases” [...]" I understand the point made by the authors about “Smaller values of R2 may not necessarily be insignificant”, but I believe that more context is required; how is a 'significant positive relation' deifined within this analysis? I would perhaps recommend simply reporting the observed values and indicating that they potentially signal the presence of a relationship or trend.

Last, indicative numerical results might be helpful in the Abstract to support the headline statements.