None of the residential environment variables explain the ownership of second homes.
The impact of these residential environment variables on both second home use and ownership was analyzed by regression analysis in which the socio-economic and demographic factors were controlled.
However, the curvilinear relationships between residential relocation variables and childhood ALL incidence have not been reported previously.
However, in most of the studies reporting adjusted analyses, residential crowding variables were significantly associated with severe RSV disease regardless of geography.
Individual level data was not available for geocoding beyond the rayon (community) level; therefore, analysis on residential related variables could not be conducted.
Most of the residential crowding variables were significant for the infants younger than 6 months compared with infants 6 months or older [ 23].
Studies that examined multiple risk factors for severe RSV disease were also included in the full-text review, whether or not residential crowding variables were mentioned in the abstract.
The four residential exposure variables representing tier and time period showed little association with cause-specific mortality (Table 4) with the exception of the closed period, tiers 1 or 2 for deaths from AMI (SMR = 1.06; 95% CI, 1.01 1.13).
In farm and non-farm homes in the Iowa farm family pesticide exposure study (Curwin et al. 2005), none of the three self-reported residential use variables (use of an insecticide, treating a lawn with pesticides, and spraying a garden with pesticides) were associated with concentrations of chlorpyrifos, glyphosate, and 2,4-D pesticides with both agricultural and residential uses.
In our study, most of the variability in S exposure occurred between (rather than within) the study areas, and the spatial variation of S within areas was explained mostly by various traffic, land use, and residential density variables (de Hoogh et al. 2013).
