Home Environment

The human microbiome is an integral component of the human body and a co-determinant of several health conditions1,2. However, the extent to which interpersonal relations shape the individual genetic makeup of the microbiome and its transmission within and across populations remains largely unknown3,4. Here, capitalizing on more than 9,700 human metagenomes and computational strain-level profiling, we detected extensive bacterial strain sharing across individuals (more than 10 million instances) with distinct mother-to-infant, intra-household and intra-population transmission patterns. Mother-to-infant gut microbiome transmission was considerable and stable during infancy (around 50% of the same strains among shared species (strain-sharing rate)) and remained detectable at older ages. By contrast, the transmission of the oral microbiome occurred largely horizontally and was enhanced by the duration of cohabitation. There was substantial strain sharing among cohabiting individuals, with 12% and 32% median strain-sharing rates for the gut and oral microbiomes, and time since cohabitation affected strain sharing more than age or genetics did. Bacterial strain sharing additionally recapitulated host population structures better than species-level profiles did. Finally, distinct taxa appeared as efficient spreaders across transmission modes and were associated with different predicted bacterial phenotypes linked with out-of-host survival capabilities. The extent of microorganism transmission that we describe underscores its relevance in human microbiome studies5, especially those on non-infectious, microbiome-associated diseases.

Widowhood is a catastrophic event at any stage of life for the surviving partner particularly in old age, with serious repercussions on their physical, economic, and emotional well-being. This study investigates the association of marital status and living arrangement with depression among older adults. Additionally, the study aims to evaluate the effects of factors such as socio-economic conditions and other health problems contributing to the risk of depression among older adults in India. This study utilizes data from the nationally representative Longitudinal Ageing Study in India (LASI-2017-18). The effective sample size was 30,639 older adults aged 60 years and above. Descriptive statistics and bivariate analysis have been performed to determine the prevalence of depression. Further, binary logistic regression analysis was conducted to study the association between marital status and living arrangement on depression among older adults in India. Overall, around nine percent of the older adults suffered from depression. 10.3% of the widowed (currently married: 7.8%) and 13.6% of the older adults who were living alone suffered from depression. Further, 8.4% of the respondents who were co-residing with someone were suffering from depression. Widowed older adults were 34% more likely to be depressed than currently married counterparts [AOR: 1.34, CI 1.2-1.49]. Similarly, respondents who lived alone were 16% more likely to be depressed compared to their counterparts [AOR: 1.16; CI 1.02, 1.40]. Older adults who were widowed and living alone were 56% more likely to suffer from depression [AOR: 1.56; CI 1.28, 1.91] in reference to older adults who were currently married and co-residing. The study shows vulnerability of widowed older adults who are living alone and among those who had lack of socio-economic resources and face poor health status. The study can be used to target outreach programs and service delivery for the older adults who are living alone or widowed and suffering from depression.

ImportanceThe root causes of violent crime in Black urban neighborhoods are structural, including residential racial segregation and concentrated poverty. Previous work suggests that simple and scalable place-based environmental interventions can overcome the legacies of neighborhood disinvestment and have implications for health broadly and crime specifically.ObjectiveTo assess whether structural repairs to the homes of low-income owners are associated with a reduction in nearby crime.Design, setting, and participantsThis cross-sectional study using difference-in-differences analysis included data from the City of Philadelphia Basic Systems Repair Program (BSRP) from January 1, 2006, through April 30, 2013. The unit of analysis was block faces (single street segments between 2 consecutive intersecting streets) with or without homes that received the BSRP intervention. The blocks of homes that received BSRP services were compared with the blocks of eligible homes that were still on the waiting list. Data were analyzed from December 1, 2019, to February 28, 2021.ExposuresThe BSRP intervention includes a grant of up to $20 000 provided to low-income owners for structural repairs to electrical, plumbing, heating, and roofing damage. Eligible homeowners must meet income guidelines, which are set by the US Department of Housing and Urban Development and vary yearly.Main outcomes and measuresThe main outcome was police-reported crime across 7 major categories of violent and nonviolent crimes (homicide, assault, burglary, theft, robbery, disorderly conduct, and public drunkenness).ResultsA total of 13 632 houses on 6732 block faces received the BSRP intervention. Owners of these homes had a mean (range) age of 56.5 (18-98) years, were predominantly Black (10 952 [78.6%]) or Latino (1658 [11.9%]) individuals, and had a mean monthly income of $993. These census tracts compared with those without BSRP intervention had a substantially larger Black population (49.5% vs 12.2%; |D| = 0.406) and higher unemployment rate (17.3% vs 9.3%; |D| = 0.357). The main regression analysis demonstrated that the addition to a block face of a property that received a BSRP intervention was associated with a 21.9% decrease in the expected count of total crime (incidence rate ratio [IRR], 0.78; 95% CI, 0.76-0.80; P Conclusions and relevanceThis study found that the BSRP intervention was associated with a modest but significant reduction in crime. These findings suggest that intentional and targeted financial investment in structural, scalable, and sustainable place-based interventions in neighborhoods that are still experiencing the lasting consequences of structural racism and segregation is a vital step toward achieving health equity.

Environmental variables related to the home context, including home literacy and numeracy, screen exposure and Socioeconomic Status (SES) are potential risks or protective factors for children's academic achievements and behaviour. The present multi-informant study aims to contribute to this issue by investigating SES's direct and indirect relationships in early learning (i.e., literacy, numeracy, and cognitive) and behavioural skills within a large sample of young children. One parent and one teacher for each of 1660 preschoolers filled out a questionnaire investigating SES, tablet and TV use, home learning activities, behavioural problems/strengths (parents' questionnaire), and children's learning skills and behaviour (teachers' questionnaire). Results of path analysis showed that tablet time and home learning environment mediate the effect of SES on early learning as assessed by teachers; as for the home learning environment, it was also a mediator of the relationship between SES and behavioural problems. Implications of these results for research in the field and educational policies are discussed.