Sentences with phrase «models controlling age»

Here, all possible indirect paths were tested in individual models controlling age, age2, age3, sex, and childhood SES.

Not exact matches

But in an age of endless cable channels, binge watching and YouTube, this carefully controlled distribution model looks increasingly antiquated.

It shows that, even when controlling for age, marriage rates, and price - to - income ratios (home value to income ratios), the Hispanic or Latino homeownership rate is still about 11 percent lower than the white homeownership rate, suggesting that factors beyond what is accounted for in the model are affecting the differences.

There are many different scientific models for what controls aging in the human body.

Finch's ideas about senescence from his grad school days have also held up: The popularity of the Hayflick model has declined as other research questioned its relevance to aging in whole organisms, and recent studies in long - lived nematodes have confirmed Finch's hunch that brain hormones control aging (see Johnson Review).

As described in the main text, ordered logistic regression analyses were carried out for each brain region in which social network distances were modeled as a function of local neural response similarities and dyadic dissimilarities in control variables (gender, ethnicity, nationality, age, and handedness).

We also study how molecular signaling, translational control, synaptic plasticity, and behavior are altered in mouse models of developmental disability, autism, aging, and Alzheimer's disease.

There has been a growing body of literature using rodents as models of human obesity, even though there are many confounding factors including species, strain, age of the animals, type of diet, level of fat, and type of control diet.

In this paper, we compare these model - based indices of DVR and DCA in 46 amnestic MCI patients, relative to 20 age - matched controls, using TCD measurements with their counterparts using Near - Infrared Spectroscopy (NIRS) measurements of blood oxygenation at the lateral prefrontal cortex in 43 patients and 22 age - matched controls.

FMc concentrations were significantly higher in the controls than in the women with history of breast cancer (p = 0.01) in a model of the ranked values adjusted for age, number of children, birth of a son, history of miscarriage, oral contraceptive use, and total number of genomes tested.

When modeling the relationship between these variables and educational attainment, we control for mother's age at first birth and whether the individual was the firstborn, along with gender and race or ethnicity.

The combination — the most powerful model Acura offers, paired with electronically controlled all - wheel drive and a clutch pedal — is enticing on paper, but in an age of declining manual - transmission sales, it's also a little perplexing.

I don't understand why we don't see the MR2 Spyder on these lists more?!? I know the earlier ones were plagued with oil / engine - eating problems, but the later models are reliable to 100k + miles and cost similar to the same aged Smart Roadster above... but compared to the Smart, for your # 2k - # 5k you get a 6 speed manual gearbox, over 70 % more power (~ 20 % more weight) but this is packaged in a mid-engined, rear wheel drive, normally aspirated car with no traction control and a LSD as standard:)

All Cadillac ATS variants get Bluetooth connectivity, cruise control, heated front seats and climate control, which isn't too bad in an age where BMW doesn't fit electric front seats on its entry - level 3 Series models.

Subscription - based model Bookboard, an app that allows young readers to unlock new books as they keep reading, is currently in its public beta launch but has already developed and introduced new features that allow parents to receive feedback on what is read, as well as control the reading level of what their children access rather than simply basing it on chronological age of the user.

Throughout the study seven possible explanations for why divorce occurs were also considered: absence - of - modeling - of - spouse - roles, inadequate - social - control, inappropriate - modeling - of - spouse - roles, greater - willingness - to - resort - to - divorce, earlier - age - at - marriage, lower - education - attainment, and finally lower - commitment - to - marriage.

A nested negative binomial regression model was created with intervention or control as the main effect, and type of pet (Cat or Dog) and age of pet (under two years, 2 - 7 years, or over 7 years) as covariates.

A nested logistic regression model was created with group (intervention or control) as the main effect, and type of pet (Cat or Dog) and age of pet (under two years, 2 - 7 years, or over 7 years) as the covariates.

There is a sizeable and significant role of education in predicting knowledge on the index even when controlling for gender, age, and race and ethnicity in a linear regression model.

The regression models were then expanded to test the independence of the effects of adverse childhood experiences while controlling for established predictors of age - related - disease risks.

We also included the child's age and sex in the model to control for potential confounding.

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.

Some observers have argued that female offenders can, in theory, be either adolescent - limited or life - course - persistent and that the relative scarcity of early - onset aggression in females indicates that they are generally less likely to follow the latter pathway.56 Others, however, have argued that the relative prevalence of adolescent - onset aggression in girls (compared with childhood - onset) indicates that persistent delinquency simply manifests at a later age in girls than it does in boys.57 In Persephanie Silverthorn and Paul Frick's model, girls and boys are influenced by similar risk factors during childhood, but the onset of delinquent behavior in girls is delayed by the more stringent social controls imposed on them before adolescence.

Logistic regression models were used for controlling eight confounding variables such as maternal age, maternal education, employment status, parity, maternal BMI, hypertension, diabetes and medically assisted conception.

We used multilevel models to examine associations between intensive grandparental childcare and contextual - structural and cultural factors, after controlling for grandparent, parent, and child characteristics using nationally representative data from the Survey of Health, Ageing and Retirement in Europe.

The models controlled for race, and offspring's gender, age, marital status, education, self - rated health, neuroticism, and contact frequency.

Models predicting target reports controlled for target reports of age, gender, race, marital status, education, self - rated health, neuroticism, and contact frequency.

We therefore investigated the associations between a measure of Attentive Managerial Leadership (AML), and perceived stress, age - relative self - rated health, and sickness absence due to overstrain / fatigue, adjusting for the dimensions of the Demand - Control - Support model.

Results: AML was associated with perceived stress, age - relative self - rated health, and sickness absence due to overstrain / fatigue after controlling for the Demand - Control - Support model.

The objective of this study was to test a comprehensive model of biologic (pubertal status), family (communication and conflict), and psychological influences (behavioral autonomy) on diabetes management and glycemic control in a sample of youth (N = 226) with type 1 diabetes recruited during late childhood / early adolescence (ages 9 — 11 years).

In all models with partner outcomes, age and gender of the partner were entered as control variables.

All three human capital factors were also positively associated with income (educational attainment: β = 0.39, P < 0.001; cognitive ability: β = 0.35, P < 0.001; self - control β = 0.38, P < 0.001); however, multivariate regression models revealed that all three human capital factors were associated with creditworthiness and heart age independent of income (Tables S1 — S4).

In the cross-sectional models, for example, BMI at age 5 y was set as the dependent variable, and the following variables were set as between - subjects variables: profile membership, inhibitory control, and a profile × inhibitory control interaction term.

Given poor robustness of t - tests with very different group sizes, we used t ′ assuming lack of homogeneity of variance; control analysis was tested with general linear model (GLM) controlling for age, depressive symptoms, and self - rated health (df = 1).

A multiple regression model was constructed to identify parental factors that predicted adherence and glycemic control while controlling for confounders (patient age, sex, and treatment method).

In 1968, when we only control for age and gender in model 1, we find no statistically significant difference in low educational attainment between respondents who grew up with both their parents and respondents from a dissolved family background.

Although this effect may appear small, the finding is rather robust given that the effect occurs over a 4 - year time lag and the model controlled for Wave 1 negative marital quality as well as multiple demographic covariates (education, years married, race, and age).

All models controlled for participant age and sex.

The results for pubertal status and age are strikingly similar, indicating that after controlling for the effect of all the other variables in the regression model, the impact of life events on depression is significantly greater in the pubertal girls (sex × pubertal status [age] × life events interaction).

However, we took steps to reduce potential confounds by including a range of covariates in our models and controlled for individual differences in earlier verbal ability, general cognitive ability and EF (as well as parental education, child age, and formal schooling) in each of our models.

Results Multilevel modeling showed metabolic control deteriorated with age.

Thus, we controlled for three level 1 variables (age, pubertal status, and treatment delivery method), two level 2 variables (baseline social status and baseline BMI), and the interaction between age and BMI in cross-sectional multilevel models.

All models controlled for Wave 1 blood pressure, education, years married, race, age, and blood pressure medicine.