Sentences with phrase «socioeconomic variables in»

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Likewise, homeschooling seems to mitigate the negative effects of low levels of parents» education on student achievement — a finding that's especially intriguing since these parents are the educators — as well as the negative effects of family socioeconomic variables and race displayed in public schools.

Other maternal variables tested in the model included maternal age, ethnic group, socioeconomic status, parity, prepregnancy weight and height, CES - D score, and use of tobacco.

Several studies have also attempted to understand the role of breastfeeding on IQ, and although some authors conclude that the observed advantage of breastfeeding on IQ is related only to genetic and socioenvironmental factors, a recent meta - analysis showed that after adjustment for appropriate key co-factors, breastfeeding was associated with significantly higher scores for cognitive development than formula feeding.6 Longer duration of breastfeeding has also been positively associated with intelligence in adulthood.22 We also observed the benefits of long - term breastfeeding on mental indices, along with the indirect benefit of balancing the impact of exposure to p, p ′ DDE after adjustment for some socioeconomic variables.

Variables such as socioeconomic status, the inclusion of children in the parenting programme, maternal mental health and individual versus group approaches to delivery moderated effectiveness although these effects tended to be modest.

In a study of relationships between socioeconomic variables and opioid - related drug overdoses, researchers found several correlations that are often not discussed in the current conversation about the nation's deaths of despair, which includes opioid overdoses, said Stephan Goetz, professor of agricultural and regional economics, Penn State and director of the Northeast Regional Center for Rural DevelopmenIn a study of relationships between socioeconomic variables and opioid - related drug overdoses, researchers found several correlations that are often not discussed in the current conversation about the nation's deaths of despair, which includes opioid overdoses, said Stephan Goetz, professor of agricultural and regional economics, Penn State and director of the Northeast Regional Center for Rural Developmenin the current conversation about the nation's deaths of despair, which includes opioid overdoses, said Stephan Goetz, professor of agricultural and regional economics, Penn State and director of the Northeast Regional Center for Rural Development.

I don't know the answer, of course, but I can think of many such variables, including socioeconomic status — that is, those who can afford fancy home alarms also live in neighborhoods that don't suffer as mean break - ins.

In order to isolate the effect of social networking on STD prevalence, the study controlled for a range of socioeconomic variables including population, race, age, income, education, and population density.

In this study, many of these socioeconomic variables were controlled for, including population, race, age, income, education, and population density.

[8] While individual - level models controlling only for race and gender showed blacks more likely to be identified, adding a family socioeconomic status variable eliminated the effect of race for blacks, while Hispanics and Asians were significantly less likely to be in special education.

Once we adjusted the data for the effects of socioeconomic status, birth weight, participation in WIC, and a few other variables, we were able to fully account for the difference in test scores.

Controlling for socioeconomic variables, there are no big differences between the private and public system in the SIMCE.

These results, confirmed by classical encom - passing tests, indicate that the geographical variables plus three of the 22 GCMs and three socioeconomic variables provide all the explanatory power in the data set.

They say that this upward trend in loss «can not be explained by commonly - used socioeconomic variables».

In today's IAMs, tables of projected demographic and socioeconomic variables determine changes in resource use and pollution / emission levels, which in turn can determine Earth System variables such as atmospheric temperaturIn today's IAMs, tables of projected demographic and socioeconomic variables determine changes in resource use and pollution / emission levels, which in turn can determine Earth System variables such as atmospheric temperaturin resource use and pollution / emission levels, which in turn can determine Earth System variables such as atmospheric temperaturin turn can determine Earth System variables such as atmospheric temperature.

My understanding is that the socioeconomic variables are a proxy for human activity & infrastructure — waste heat & asphalt — which are more concentrated in urban areas, and are probably on the rise throughout most of the world through the post-war 1950s - 80s.

There are also indications that they do so in relatively complex ways that interact with family background and social context variables such as ethnicity, family structure, maternal employment status, socioeconomic status, and gender (Schiamberg & Chin, 1986; Milne, 1989; Tocci & Englehard, 1991; Zimilies & Lee, 1991; Lee & Croninger, 1994).

Initially each variable of interest was included in a separate model controlling for age, sex, ACCHS, carer's employment status (as a measure of socioeconomic status) and clustering by family ID.

There were no differences in either anthropometric measures at age 6 years or socioeconomic variables between children with BMI data at age 4 years and those without it, and analyses including all children produced findings consistent with those obtained using multiple imputation.

SLA - level predictor variables will include: accessibility (ARIA +), 33 socioeconomic status (using Socio Economic Status for Areas (SEIFA) indexes, four indexes that summarise different aspects of the socioeconomic conditions of people living in an area based upon sets of social and economic information from the Australian Census35); full - time equivalent GPs; medical workers, nurses, pharmacists, Aboriginal health workers and community services workers per 10 000 population; rates of unemployment and labour force participation.

In this study, data from a sample of 310 married couples was examined for relationships between indicators of marital satisfaction, socioeconomic variables, religiosity and finances to determine their impact on individual decisions to remain in relationshipIn this study, data from a sample of 310 married couples was examined for relationships between indicators of marital satisfaction, socioeconomic variables, religiosity and finances to determine their impact on individual decisions to remain in relationshipin relationships.

In a second hypothesis, CD and poor achievement are functions of dysfunctional outside variables (eg, low socioeconomic status, an attention deficit disorder, nonsupportive family environment).

It is likely, for instance, that these homes differ in socioeconomic status (whether or not this variable was recorded), which means that the unfavorable home is apt to be more crowded and located in a different sort of neighborhood.

Area - level explanatory variables will include: accessibility and remoteness, as measured by the Accessibility / Remoteness Index of Australia Plus (ARIA +); 54 socioeconomic disadvantage, as measured by the Australian Bureau of Statistics (ABS) Socioeconomic Indexes for Areas (SEIFA); 55 presence of Aboriginal Medical Services; presence of an AMIHS; proportion of Aboriginal pregnancies / births in an area managed by an AMIHS; numbers of Aboriginal and non-Aboriginal children attending preschool; numbers of full - time equivalent health workers (including general medical practitioners, nurses, midwives and Aboriginal health workers) per 10 000 population; measures of social capital from the NSW Population Health Survey; 56 features of local communities (derived from ABS Census data), such as information on median personal and household income, mortgage repayment and rent; average number of persons per bedroom and household size; employment; non-school qualifications and housing type for Aboriginal residents insocioeconomic disadvantage, as measured by the Australian Bureau of Statistics (ABS) Socioeconomic Indexes for Areas (SEIFA); 55 presence of Aboriginal Medical Services; presence of an AMIHS; proportion of Aboriginal pregnancies / births in an area managed by an AMIHS; numbers of Aboriginal and non-Aboriginal children attending preschool; numbers of full - time equivalent health workers (including general medical practitioners, nurses, midwives and Aboriginal health workers) per 10 000 population; measures of social capital from the NSW Population Health Survey; 56 features of local communities (derived from ABS Census data), such as information on median personal and household income, mortgage repayment and rent; average number of persons per bedroom and household size; employment; non-school qualifications and housing type for Aboriginal residents inSocioeconomic Indexes for Areas (SEIFA); 55 presence of Aboriginal Medical Services; presence of an AMIHS; proportion of Aboriginal pregnancies / births in an area managed by an AMIHS; numbers of Aboriginal and non-Aboriginal children attending preschool; numbers of full - time equivalent health workers (including general medical practitioners, nurses, midwives and Aboriginal health workers) per 10 000 population; measures of social capital from the NSW Population Health Survey; 56 features of local communities (derived from ABS Census data), such as information on median personal and household income, mortgage repayment and rent; average number of persons per bedroom and household size; employment; non-school qualifications and housing type for Aboriginal residents in each area.57

Emerson et al. [38 • •], for example, conducted a secondary analysis of the Millennium Cohort Study in the UK and found that after matching on socioeconomic variables, probable psychiatric disorder was no more likely to be found among fathers of children with early cognitive delay, and the strength of this association for mothers was substantially diminished.

The most apparent is that single measures of absolute concentrations of salivary cortisol, for most health - related variables, seldom give significant findings; deviation measures, in terms of diurnal deviations and / or laboratory stress tests seem to be more strongly and consistently associated with a number of factors, such as Socioeconomic Status (SES), psychological characteristics, biological variables in terms of overweight and abdominal fat accumulation, and mental and somatic disease.

Variables such as socioeconomic status, the inclusion of children in the parenting programme, maternal mental health and individual versus group approaches to delivery moderated effectiveness although these effects tended to be modest.

Associations between background socioeconomic variables and offspring conduct problems and depressive symptoms are presented in S3 and S4 Tables.

The primary constructs within the hypothesized framework are: (1) social position variables — characteristics that are used within societies to hierarchically stratify groups (race, gender, socioeconomic status); (2) parenting variables — familial mechanisms that may influence African American adolescents well - being, perceptions of competence, and attitudes towards others in various contexts (e.g., parenting practices and racial socialization messages); (3) racial discrimination — negative racially driven experiences that may influence feelings of competence, belongingness, and self - worth; (4) environmental / contextual factors — settings and surroundings that may impede or promote healthy identity development (e.g., academic settings); and (5) learner characteristics — individual characteristics that may promote or hinder positive psychological adjustment outcomes (e.g., racial identity, coping styles).

Socioeconomic variables were also taken into account (in preparation for publication).

[jounal] Olsson, M. B. / 2008 / Socioeconomic and psychological variables as risk and protective factors for parental well - being in families of children with intellectual disabilities / Journal of Intellectual Disability Research 52 (12): 1102 ~ 1113

Variables for child's functioning (cognitive level [BAS Standard Nonverbal Composite (SNC)-RSB-; daily living impairment [VABS DLS Standard Score (SS)-RSB-; emotional and behavioural difficulties [SDQ Total problems]-RRB- and socioeconomic factors (income and educational level) were dichotomised into clinically meaningful subgroups in order to better capture their significance, as well as to facilitate the interpretation of the parameters (Ragland 1992).

Homeowner, type of dwelling and neighbourhood were not used in the final analysis because maternal education is highly correlated with all of these variables and provides a good proxy measure for socioeconomic status which was measured early in the study and is relatively complete.