The phrase "age of house" is not correct and may cause confusion in written English.
It could be used when referring to the period since a house was built or constructed, but it is more common to use a different phrasing.
Example: "The age of the house is over 100 years, making it one of the oldest in the neighborhood."
Alternatives: "house's age" or "age of the property".
Comparisons between flame retardant data and socio-demographic information revealed significant differences in total exposures to both ΣBDEs and ΣOPFRs based on age of house, vacuuming frequency, and family context.
At the beginning of the conversation we were talking about the age of house, and it has been a challenge to design and create pieces in stainless steel that still work with the overall aesthetic of a house built in 1922, but I think it's a healthy mix of new and old.
Age of house (built pre-1970built pre-1970 1990, and post-1990) was not correlated with PBDE levels in the PUFs or vacuum dust samples.
The NIRS method also has been used to determine the age of house flies (Perez-Mendoza et al. 2002), beetles (Perez-Mendoza et al. 2004), and mosquitoes (Mayagaya et al. 2009; Sikulu et al. 2011).
Building, demographic data (number of residents per household, age of house), and New Ecological Paradigm-Revised (Dunlap, Van Liere, Mertig, & Jones, 2000) was recorded at Time 1 in the self-report questionnaire (Table 2).
We assessed the influence of other factors that may be related to pulmonary function and to 1,4-DCB exposure, such as type of heating, use of wood fires, age of house, presence of furred pets, occupation, socioeconomic status, presence of environmental tobacco smoke, smoking history, and diagnosis of asthma or emphysema.
To avoid this bias, we also estimated a model using categorical age-of-housing variables.
Because of these inaccuracies, the model presented in Table 3 (which uses a continuous age-of-housing variable) is vulnerable to bias in estimating the year built coefficient.
For both the forest canopy model and the turf grass model we used the median age of housing stock as the dependent variable.
We further assess an array of structural explanations for observed racial disparities, including socioeconomic status, type and age of housing, proximity to freeways and smelting plants, and systematic observations of housing decay and neighborhood disorder.
And while the din of new construction can be heard throughout this wealthy enclave of 19,000, about 10 miles east of Philadelphia, artifacts of the last golden age of housing are still very much in evidence.
