Not exact matches
Stores can use the dashboard to see how many customers are coming through their doors
and measure them by demographics (
gender or
age, for instance)
and whether they are new or returning customers.
A free report which reveals how your diet quality
measures up compared to others of the same
age,
gender, generation, profession as well as people from the same State
and across the country.
«What the Healthy Diet Score does is provide individuals with an assessment that is relevant only to them, taking into consideration other people of the same
age and gender, to let them know how their diet quality is
measuring up,» said Professor Noakes.
To monitor physical development, the doctor will weigh
and measure your child at regular checkups, then plot the results on a standard growth chart to follow over time
and compare with that of other kids the same
age and gender.
Using
age -
and gender - specific z scores for the repeated
measures outcome variable
and birth weight as the covariate, the between - group variable (breastfeeding medication group) was significant (P =.005).
At
age 30 or 33, the participants completed
measures that gauged their economic conservatism, political cynicism, racism, authoritarianism,
and attitudes about
gender inequality.
Potential effect
measure modification was evaluated
and models adjusted for confounding effects of
age,
gender, race / ethnicity, diabetes, income
and education.
Martin, Henn,
and their colleagues spent a great deal of time with the KhoeSan, interviewing individuals,
and taking anthropometric measurements (height,
age,
gender),
and using a reflectometer to quantitatively
measure skin color.
«The basic idea is: couldn't we price insurance more accurately
and fairly if we
measured how you drive as an individual instead of relying on the average behaviour of people in your
age group
and gender?»
Qualified investigators can obtain: (1) cleaned, quality control checked sequence data, (2) information on the composition of the study cohorts (e.g. case - control, family based,
and epidemiology cohorts), (3) descriptions of the study cohorts included in the analysis,
and (4) accompanying phenotypic information such as
age at disease onset,
gender, diagnostic status,
and cognitive
measures.
diagnoses,
age,
and gender for each case; AC use was
measured using Anticholinergic Drug Scale.
Up to two controls without pneumonia were matched based on time since AD... diagnoses,
age,
and gender for each case; AC use was
measured using Anticholinergic Drug Scale.
Combine these measurements with your
gender, weight,
and age and this calculator will find your percent of body fat, how much of your weight is lean mass
and how much is fat mass,
and your general fitness category.While the water displacement test is the most accurate way to determine body fat percent, skinfold tests are valuable because they can be done at home with the same person
measuring each time, providing good measurements to monitor body composition changes over time.
Yet
gender diversity in film remains lacking enough that when two people passed out at a recent film - festival screening of Julia Ducournau's cannibalism coming - of -
age tale, Raw — much to the director's surprise
and dismay — it was not only noteworthy but also a perverse
measure of progress.
The analysis also took into account students»
age,
gender, eligibility for the free lunch program,
and whether they had been assigned to a small class, as well as variables
measuring the demographic composition of the student's class.
insuranceQuotes.com commissioned Quadrant Information Services to
measure the impacts of
gender,
age and marital status on car insurance premiums using data from the largest carriers (representing 60 - 70 % of market share) in each U.S. state
and the District of Columbia.
Methodology: Data from Quadrant Information Services was used to
measure the impacts of
age,
gender, marital status,
and vehicle type on car insurance premiums in each U.S. state
and the District of Columbia.
Data from Quadrant Information Services was used to
measure the impacts of
age,
gender, marital status
and vehicle type on car insurance premiums in each U.S. state
and the District of Columbia.
The study with 32 transgender children,
ages 5 to 12, was led by psychological scientist Kristina Olson of the University of Washington,
and is one of the first to explore
gender identity in transgender children using implicit
measures that operate outside conscious awareness.
Methodology: Data from Quadrant Information Services was used to
measure the impacts of
age,
gender, marital status,
and vehicle type on car insurance premiums in each U.S. state
and the District of Columbia.
A substantial body of research indicates that regardless of race
and age, female offenders have higher rates of mental health problems, both internalizing
and externalizing, than male offenders.19 In a study of serious «deep - end» offenders, females exhibited both more externalizing problems
and more internalizing problems than males.20 Moreover, a recent study using common
measures and a demographically matched sample of community
and detained youth found that
gender differences were greater among detained youth than among community youth, with detained girls having more symptoms of mental illness than would be predicted on the basis of
gender or setting alone.21
The data were analyzed to determine whether families who left the study were different with respect to major demographic factors (eg,
age, race, or
gender)
and / or baseline clinical variables (eg, Pediatric Risk of Mortality scores or mothers» trait anxiety), as well as the BASC
measures before the 12 - month follow - up assessment.
The relationship between depressive symptoms
and step count has only been assessed in specific populations with small sample sizes, such as low - socioeconomic status Latino immigrants, 16 elderly Japanese people17 or patients with chronic conditions such as heart failure18 19 or chronic obstructive pulmonary disease.20 21 Studies yield contradictory results, with some observing no association between depressive symptoms
and daily step count, 19 21 while others report a negative correlation.16 — 18 20 In one cross-sectional sample of healthy older adults, an inverse association between depressive symptoms (using the Goldberg Depression Scale - 15)
and accelerometer
measured daily step count disappeared after controlling for general health
and disability.22 While a systematic review suggests reduced levels of objectively
measured PA in patients with depression, 23 it is not known whether this association is present in those at high risk of CVD
and taken into account important confounding such as
gender and age.
The most recent follow - up study reported associations between duration of breastfeeding
and childhood cognitive ability
and academic achievement extending from 8 to 18 years in a New Zealand cohort of 1000 children.19 This study found that these effects were significant after controlling for
measures of social
and family history, including maternal
age, education, SES, marital status, smoking during pregnancy, family living conditions,
and family income,
and measures of perinatal factors, including
gender, birth weight, child's estimated gestational
age,
and birth order in the family.
Descriptive data, including participant demographics (
age,
gender, baseline
measures of school achievement, social
and economic status).
In addition to standard demographic variables (such as
age, race,
gender, income
and education), the NSFH contains
measures of marital happiness, domestic violence, conflict
and a wide variety of
measures of psychological well - being including: global happiness, depressive symptoms, sense of personal mastery,
and self - esteem.
Covariates included
age,
gender, ethnicity,
and measures of baseline problem behaviors.
The 20 siblings for whom home visit data were not available, or not analyzed owing to missing comparisons, were no different from the 67 for whom data were available
and analyzed in terms of ethnicity / race (White / non-Hispanic vs. other: χ 2 [1, N = 85] = 1.3, p =.26),
gender (χ 2 [1, N = 85] = 0.6, p =.44),
age (t = 0.31, p =.75) or any of the classroom - based
measures (t values < 1.65, p values >.10).
The paper
and pencil
measures consisted of a series of demographic questions (
age,
age at first parental separation / divorce,
gender, level of education,
and employment)
and a series of standardized questionnaires, four of which were examined for this study.
Furthermore, on the same
measures, a subset of 115 clinically referred children was compared to 115
age and gender matched children from the general population.
We positioned the baseline variables of adolescent
gender,
age,
and ethnicity (Hispanic) as predictors of the intermediate baseline
measures of Conflict, Positive Parental Bonds,
and Sexual Risk Behavior.
We describe the new
measures and compare the distributions of each across
gender and age groups, in some cases by partnership status.
The utility of non-specific
measures of resilience across the lifespan: An investigation of structural invariance across
gender and age cohorts.
First, we examined the relationships of plausible covariates, including
gender, birth - weight, post-conceptual
age on the visit day (gestational
age + days of life since birth to the visit day), ethnicity, prenatal smoking exposure,
and child sleep condition at the time of EEG recording with outcome
measures (frontal EEG power, functional connectivity at 6
and 18 months of
age, or behavioral scores at 24 months of
age).