Xu Liu Polemiti 2023

• Paste quoted text from the Methods section of the article on the next line. Do not include quotation marks or a bullet mark:

. To investigate the multivariate relationship between urban living environment and psychiatric symptoms, we conducted multivariate analyses using sCCA with the sgcca.wrapper function of the mixOmics R package based on our previous work63.

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The researchers used statistical method such as sparse canonical correlation analyses to analyse the relationship between the urban environment factors and psychiatric symptoms. They excluded the less important variables and focused on combination of variables that could commonly occur.

• Paste quoted text from the Introduction of the article on the next line. Do not include quotation marks:

While previous studies investigated isolated environmental fac tors relevant to urban living, such as green spaces12 and socioeconomic deprivation13, these isolated factors have not been considered in the wider environmental context that characterizes a living environment.

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The author explains that there are several different factors that can together affect the risk of psychiatric disorders. This article focuses on the wider environmental context that affects living.

• Paste quoted text from the Results section in the article on the next line. Do not include quotation marks:

The affective symptom group was positively correlated with environmental factors that included an IMD score, air and sound pollution, measures of SN accessibility (street radial and centrality), traffic and density of urban infrastructures (factories, retail, offices and community).

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The affective symptom group shows positive correlation means the people living in urban environment suffering from factor such as sound pollution, traffic, crowd reports more symptoms of stress, depression.

• Paste quoted text from the Discussion section of the article on the next line. Do not include quotation marks:

By providing evidence for comprehensive urban environmental profiles that affect distinct groups of psychiatric symptoms and are mediated by different brain mechanisms, our results characterize biological mechanisms underlying complex, real-life environmental adversity.

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The authors found that because of air pollution, traffic and lack of green space, urban cities strongly linked to poorer mental health.

The researchers in future studies could use more detailed data by studying the diverse population across globe specifically focusing on the direct impact of urban stressful environment on brain and mental health.

The most challenging part of the article was to understand the statistical method. The concept for sparse canonical correlation analysis was harder to understand because of the complexity of the relationship between factors, variables and symptoms.