Not exact matches
The lower levels of baseline sugar sweetened drink consumption in the UK compared with the US may in part explain why the effect on obesity that we estimate in the UK is much less than that estimated in the US.12 The differences with respect to other modelling studies may also be partly explained by their use of
higher own price elasticity values for sugar sweetened drinks than we have calculated and used here.18 22 52 We can
not make direct comparisons between the results of our study and the results of recent studies of the effect of reducing sugar sweetened drink consumption on
body weight in children, 5 7 as the relation between energy balance and change in
body mass index in children who are growing is different from that in adults.
However, results from both cohort studies52 53 and randomised controlled trials54 55 show that a
high intake of dairy products is
not associated with an increase in weight or
body mass index despite a
higher intake of energy.
Although a
high body mass index is
not an official medium risk indication according to the obstetric indication list, midwives may have advised these women to give birth in hospital.
As we continue to identify risk factors for lactation insufficiency (variations in infant oral anatomy, hypoplastic breast appearance or insufficient glandular development,
high pre-pregnant
body mass index, insulin resistance, other hormonal irregularities), it is extremely important that mothers, whether they believe they are «at risk» or
not, identify appropriate breastfeeding support before their babies are born.
Many women with a
high body mass index go on to produce plenty of milk, even overproduce in some cases, and
not all women with milk production issues have a BMI over 30, though it seems a growing percentage does.
Body weight, as determined by body mass index (BMI), was also strongly correlated with delay discounting, suggesting that people who don't place a high value on future rewards tend to have a higher
Body weight, as determined by
body mass index (BMI), was also strongly correlated with delay discounting, suggesting that people who don't place a high value on future rewards tend to have a higher
body mass index (BMI), was also strongly correlated with delay discounting, suggesting that people who don't place a
high value on future rewards tend to have a
higher BMI.
After adjusting the data for age, sex, race, education, smoking, alcohol use, blood pressure, diabetes,
high blood pressure medication, cholesterol levels, statin use and
body mass index, the researchers found that those people who met both the recommended activity levels and had vitamin D levels above 20 nanograms per milliliter experienced about a 23 percent less chance of having an adverse cardiovascular event than those people with poor physical activity who were deficient for vitamin D. On the other hand, people who had adequate exercise but were vitamin D deficient didn't have a reduced risk of an adverse event.
Underweight and obese women who also drank alcohol and smoked tobacco had a two-fold
higher risk of being diagnosed with asthma than women with a healthy
body mass index who did
not drink or smoke, a St. Michael's Hospital study found.
The differences were unaffected by
body mass index, smoking status, alcohol consumption, history of diabetes or
high blood pressure, suggesting that the effects of coffee aren't influenced by these recognized cardiovascular risk factors.
Women in the study who were planning a pregnancy did cut back on cigarettes and alcohol, but didn't increase their fruit and vegetable intake and had
higher body mass index.
This unfortunately, wasn't found to be the case for women with PCOS of
higher body mass index (Classic PCOS), their AMH in pregnancy was more similar to that of women without PCOS
Adjusted for age (continuous); interval; total energy intake (continuous); current menopausal hormones (binary); smoking status (never, past, or current smoker);
body mass index (< 25.0, 25.0 - 29.9, or ≥ 30.0)(calculated as weight in kilograms divided by height in meters squared); physical activities (quintiles); marital status (married or partnered; widowed; or separated, divorced, or single); not involved in a church, volunteer, or community group (binary); retired (binary); reported diagnosis of diabetes mellitus (binary); cancer (binary); high blood pressure (binary); or myocardial infarction or angina (binary); and Mental Health Index score (86 - 100, 76 - 85, 53 - 75) in
index (< 25.0, 25.0 - 29.9, or ≥ 30.0)(calculated as weight in kilograms divided by height in meters squared); physical activities (quintiles); marital status (married or partnered; widowed; or separated, divorced, or single);
not involved in a church, volunteer, or community group (binary); retired (binary); reported diagnosis of diabetes mellitus (binary); cancer (binary);
high blood pressure (binary); or myocardial infarction or angina (binary); and Mental Health
Index score (86 - 100, 76 - 85, 53 - 75) in
Index score (86 - 100, 76 - 85, 53 - 75) in 1996.
Another study found seasonal variation in LDL levels and
body mass index, related to variation in dietary fat and saturated fat intake (but
not caloric intake, which did
not vary significantly); these were all
higher in the winter (Shahar et al., 1999).