Sentences with phrase «higher child bmi»

Higher child appetitive traits and lower satiety responsiveness were associated with higher child BMI.

Unexpectedly, maternal BE also predicted higher child BMI percentile indirectly through Distress responses, independently of Balance / Variety, Pressure to Eat, and Emotion Regulation feeding practices.

The authors found that higher child BMI at 7 years was predicted by lower use of pressure to eat and higher use of restriction by parents at 5 years, but only in children who were at a high risk for overweight.

Parent BMI (higher), child race / ethnicity and child vocabulary percentile (lower) were all significantly associated with higher child BMI percentile.

Not exact matches

This analysis of longitudinal growth data from > 2000 children in the Gemini twin cohort has demonstrated that higher protein intake at 21 mo is associated with higher weight gain and higher BMI (but not height) between 21 and 36 mo and 21 and 60 mo, with no evidence of diminution over time.

Hence, we need to pay attention to meal timing, and to start at an early age because children and adolescents who skip meals have a higher risk of developing health issues, including higher BMI, more belly fat, higher serum insulin and blood glucose.

The onset of breast development begins at an earlier age in girls with a higher BMI (Body Mass Index) and this may increase the child's risk of breast cancer later in life.

If your child's BMI is in the 85th percentile — meaning it's higher than that of 85 percent of children his age and gender — he would be considered overweight.

Breech Twins and higher order multiples Previous CS Pre-Eclampsia Placenta praevia Cervical incompetence Previous late stillbirth Previous premature birth Grand multiparty Age under 18 Age over 35 Smoking Drug use Severe mental health issue Epilepsy Type 1 diabetes Type 2 diabetes Gestational diabetes Asthma GBS positive Abnormal antibodies Transplant recipient Congenital heart disease Known foetal abnormality Immunosuppressive medication MS Physical disability Intellectual disability Hypothyroidism Hyperthyroidism Previous shoulder dystocia Previous 3rd or 4th degree tear Sickle Cell anaemia BMI under 18 or over 35 at conception Previous massive PPH APH in current pregnancy HIV / AIDS Hepatitis B or C Active TB IUGR Oligohydramnios Polyhydramnios Child previously removed from custody because of abuse Uterine abnormalities such as uterine septum or double uterus Previous uterine surgery for fibroids Chronic renal problems Hypertension Auto immune condition Previous stroke or blod clot Cancer Domestic violence or abusive home Prisoners Homeless women

(borrowed from Dr Kitty) Breech Twins and higher order multiples Previous CS Pre-Eclampsia Placenta praevia Cervical incompetence Previous late stillbirth Previous premature birth Grand multiparty Age under 18 Age over 35 Smoking Drug use Severe mental health issue Epilepsy Type 1 diabetes Type 2 diabetes Gestational diabetes Asthma GBS positive Abnormal antibodies Transplant recipient Congenital heart disease Known foetal abnormality Immunosuppressive medication MS Physical disability Intellectual disability Hypothyroidism Hyperthyroidism Previous shoulder dystocia Previous 3rd or 4th degree tear Sickle Cell anaemia BMI under 18 or over 35 at conception Previous massive PPH APH in current pregnancy HIV / AIDS Hepatitis B or C Active TB IUGR Oligohydramnios Polyhydramnios Child previously removed from custody because of abuse Uterine abnormalities such as uterine septum or double uterus Previous uterine surgery for fibroids Chronic renal problems Hypertension Auto immune condition Previous stroke or blod clot Cancer Domestic violence or abusive home Prisoners Homeless women

Doctors look more closely at children who fall in the highest and lowest BMI percentile ranges — 85th percentile and above, or 4th percentile and lower.

Longer lactation duration for the first child was associated with higher parity (Table 1), as well as lower BMI during follow - up, less family history of hypertension, less frequent smoking, and oral contractive use, higher DASH diet score, more frequent vigorous exercise, and more analgesic use.

«These children were also more likely to be tired in the morning, which is also a risk factor for higher BMIs.»

After surveying parents about their kids» technology and sleep habits, researchers found that using technology before bed was associated with less sleep, poorer sleep quality, more fatigue in the morning and — in the children that watched TV or used their cell phones before bed — higher body mass indexes (BMI).

«Harmful effects of being overweight underestimated: Study measured effects of high and low BMI in 60,000 parents and children.»

In a group of healthy children of many races, the researchers found that CC types had higher BMI scores and percentage of body fat when compared to CT or TT types, who were similar to each other.

Finally, in a group of Hispanic children, the researchers found that the C allele (CT, CC types) was associated with a higher BMI score.

A woman being obese (BMI of 30.0 or higher) prior to getting pregnant increased the odds of her child being overweight at age 2 by more than two-fold compared to women who had a normal pre-pregnancy weight (BMI between 18.5 and 25), after adjusting for weight gain during pregnancy, gestational diabetes and breastfeeding.

Students in the 85th to 94th percentile of BMI were considered overweight and children at the 95th percentile or higher obese.

Among children with obesity, those who scored high in impulsivity had higher BMI and greater fat mass.

Of the 40 children with obesity who completed the study, the 18 who were rated high - impulsivity had a greater drop in BMI than the lower - impulsivity obese children.

«If we are using BMI to find out which children are obese, it works if the BMI is high, but what about the children who have a normal BMI but do have excess fat?

Covariates included the child's sex, calendar conception year (categorical variable), gestational age, maternal prepregnancy body mass index (BMI, calculated as weight in kilograms divided by height in meters squared)(BMI < 18.5 = underweight; 18.5 ≤ BMI < 25 = normal weight; 25 ≤ BMI < 30 = overweight; BMI ≥ 30 = obese), maternal age at delivery (younger than 20, 20 to 24, 25 to 29, 30 to 34, and ≥ 35 years), maternal education at delivery (≤ high school graduate, some college education, college graduate, postgraduate, or unknown), maternal race / ethnicity (Asian, black, white, or other), and gestational diabetes (yes / no).

In a Norwegian population - based health cohort study, published in the International Journal of Epidemiology, scientists measured the effects of high and low BMI in 60,000 parents and children.

What they found was pretty shocking: that living in an area with higher rates of obesity is associated with a higher BMI and an increased risk of obesity in both children and adults.

Desperate Mom: Both of my children have high BMI's.

Conclusions and Relevance Exposure to counties with higher rates of obesity was associated with higher BMI and higher odds of overweight and / or obesity in parents and children.

Exposure to counties with higher rates of obesity was associated with higher BMI and higher odds of overweight and / or obesity in parents and children.

The SACN report review found: high levels of sugar consumption are associated with a greater risk of tooth decay; the higher the proportion of sugar in the diet, the greater the risk of high energy intake; drinking high ‑ sugar beverages results in weight gain and increases in BMI in teenagers and children; and consuming too many high - sugar beverages increases the risk of developing type 2 diabetes.

Social factors and television use during meals and snack is associated with higher BMI among preschool children

Materials and methods: Our study enrolled mothers of 150 children in normal, high and low BMI categories who were admitted to Kagithane State Hospital.

This study directly contrasts with the finding of Rhee et al13 of a strong association between child BMI status and the maternal authoritarian parenting style (characterized by high control, as well as low warmth and sensitivity).

Compared with the reference authoritative style, children of fathers with permissive and disengaged parenting styles had higher odds of being in a higher BMI category.

A covariate was included in the multivariate analyses if theoretical or empirical evidence supported its role as a risk factor for obesity, if it was a significant predictor of obesity in univariate regression models, or if including it in the full multivariate model led to a 5 % or greater change in the OR.48 Model 1 includes maternal IPV exposure, race / ethnicity (black, white, Hispanic, other / unknown), child sex (male, female), maternal age (20 - 25, 26 - 28, 29 - 33, 34 - 50 years), maternal education (less than high school, high school graduation, beyond high school), maternal nativity (US born, yes or no), child age in months, relationship with father (yes or no), maternal smoking during pregnancy (yes or no), maternal depression (as measured by a CIDI - SF cutoff score ≥ 0.5), maternal BMI (normal / underweight, overweight, obese), low birth weight (< 2500 g, ≥ 2500 g), whether the child takes a bottle to bed at age 3 years (yes or no), and average hours of child television viewing per day at age 3 years (< 2 h / d, ≥ 2 h / d).

In this study, BDS values of high BMI children's mothers were significantly higher than those of normal BMI children's mothers and BDS values of mothers of low BMI children were found to be higher than those of mothers of normal BMI children.

In this study, BDS scores of mothers of low and high BMI children were found to be statistically higher when compared to mothers of normal weight children.

Regarding the child, the importance of the intrauterine and early postnatal environments for metabolic programming and modifications of the epigenome is increasingly recognised, 12 — 14 particularly for metabolic diseases such as obesity and diabetes.15 Thus, GDM is related to macrosomia at birth (> 4 kg), to excess body fat and (central) obesity and to insulin secretion in infants and children, the obesity being in part mediated by maternal body mass index (BMI) or birth weight.16 — 23 Intrauterine exposure to GDM also doubles the risk for subsequent type 2 diabetes in offspring compared with offspring of mothers with a high genetic predisposition for type 2 diabetes, but with normal glucose tolerance during the index pregnancy.24 Maternal prepregnancy overweight and excessive gestational weight gain also predict high birth weight and adiposity during infancy.12 25 This is highly relevant, as up to 60 % — 70 % of women with GDM are overweight or obese before pregnancy.26 Finally, maternal lifestyle behaviour such as a high fat diet or lack of physical activity during pregnancy can influence offspring adiposity independent of maternal obesity.12 27

Other «societal» problems also associated recently with children's BMI status (such as minority status, 38 social disadvantage, 39,40 and high birth weight41) may be even more important.

Higher father control scores were associated with lower odds of the child being in a higher BMI catHigher father control scores were associated with lower odds of the child being in a higher BMI cathigher BMI category.

After adjustment for the covariates and for all of the maternal and paternal parenting dimensions, higher paternal control score was strongly associated with decreased odds of the child being in a heavier BMI category (OR: 0.75; 95 % CI: 0.65 — 0.86; P <.001).

Univariate and multivariable ordinal logistic regression (using the proportional odds model) were used to assess associations between the parenting variables and the odds of higher BMI status in the child (nonoverweight, overweight, or obese).

Using a proportional odds model, odds ratios for children being in a higher BMI category were computed for mothers and fathers separately and together, after adjustment for factors associated with child BMI, including mothers» and fathers» BMI status.

An uninvolved feeding style also moderated the association between fussiness and child BMI, with higher levels of fussy child eating behavior associated with lower child BMI.

Children with high levels of emotional eating were more likely to have a higher BMI, but only in the presence of an uninvolved parent feeding style.

Conclusions Compared to offspring of adult women, children of adolescent mothers have lower mean scores on cognitive measures, smaller head circumference, and higher BMI.