Obesity and Sugar‐sweetened Beverages in African‐American Preschool Children: A Longitudinal Study

A representative sample of 365 low‐income African‐American preschool children aged 3–5 years was studied to determine the association between sugar‐sweetened beverage consumption (soda, fruit drinks, and both combined) and overweight and obesity. Children were examined at a dental clinic in 2002–2003 and again after 2 years. Dietary information was collected using the Block Kids Food Frequency Questionnaire. A BMI score was computed from recorded height and weight. Overweight and obesity were defined by national reference age‐sex specific BMI: those with an age‐sex specific BMI ≥85th, but <95th percentile as overweight and those with BMI ≥95th age‐sex specific percentile as obese. The prevalence of overweight was 12.9% in baseline, and increased to 18.7% after 2 years. The prevalence of obesity increased from 10.3 to 20.4% during the same period. Baseline intake of soda and all sugar‐sweetened beverages were positively associated with baseline BMI z‐scores. After adjusting for covariates, additional intake of fruit drinks and all sugar‐sweetened beverages at baseline showed significantly higher odds of incidence of overweight over 2 years. Among a longitudinal cohort of African‐American preschool children, high consumption of sugar‐sweetened beverages was significantly associated with an increased risk for obesity.     

The Relation of Body Mass Index,Cardiorespiratory Fitness,and All‐Cause Mortality in Women

Objective: To examine the relation of body mass index (BMI), cardiorespiratory fitness (CRF), and all‐cause mortality in women. Research Methods and Procedures: A cohort of women (42.9 ± 10.4 years) was assessed for CRF, height, and weight. Participants were divided into three BMI categories (normal, overweight, and obese) and three CRF categories (low, moderate, and high). After adjustment for age, smoking, and baseline health status, the relative risk (RR) of all‐cause mortality was determined for each group. Further multivariate analyses were performed to examine the contribution of each predictor (e.g., age, BMI, CRF, smoking status, and baseline health status) on all‐cause mortality while controlling for all other predictors. Results: During follow‐up (113,145 woman‐years), 195 deaths from all causes occurred. Compared with normal weight (RR = 1.0), overweight (RR = 0.92) and obesity (RR = 1.58) did not significantly increase all‐cause mortality risk. Compared with low CRF (RR = 1.0), moderate (RR = 0.48) and high (RR = 0.57) CRF were associated significantly with lower mortality risk (p = 0.002). In multivariate analyses, moderate (RR = 0.49) and high (RR = 0.57) CRF were strongly associated with decreased mortality relative to low CRF (p = 0.003). Compared with normal weight (RR = 1.0), overweight (RR = 0.84) and obesity (RR = 1.21) were not significantly associated with all‐cause mortality. Discussion: Low CRF in women was an important predictor of all‐cause mortality. BMI, as a predictor of all‐cause mortality risk in women, may be misleading unless CRF is also considered.     

Cut‐off Point of BMI and Obesity‐Related Comorbidities and Mortality in Middle‐Aged Koreans

Objective: The need for a lower BMI to classify overweight in Asian populations has been controversial. Using both disease and mortality outcomes, we investigated whether lower BMI cut‐off points are appropriate for identifying increased health risk in Koreans. Research Methods and Procedures: We conducted a cohort study among 773, 915 men and women from 30 to 59 years old with 8‐ to 10‐year follow‐up periods. Primary outcomes were change of obesity prevalence, obesity‐related disease incidence, and all‐cause mortality. Results: Prevalence of overweight (BMI of 25.0‐29.9) has steadily increased (1.3% annually), whereas obesity (BMI ≥ 30) showed a lower prevalence and only a slight increase (0.1%‐0.2% annually). Our study revealed that dose‐response relationships exist between obesity and related disease incidences (hypertension, type 2 diabetes, and hypercholesterolemia) beginning at lower BMI levels than previously reported. Compared with those in the healthy weight range, Koreans with a BMI ≥ 25 were not at greater risk of hypertension, type 2 diabetes, or hypercholesterolemia than has been reported for whites in similar studies. Obesity‐related all‐cause mortality also did not seem so different from that of whites. Discussion: Our findings did not support the use of a lower BMI cut‐off point for defining overweight in Koreans compared with whites for the purpose of identifying different risks. However, populations with BMI ≥ 25 are rapidly increasing and have substantial risks of diseases. To preempt the rapid increases in obesity and related health problems that are occurring in Western countries, Korea should consider using a BMI of 25 as an action point for obesity prevention and control interventions.     

Smoking Kills,Obesity Disables: A Multistate Approach of the US Health and Retirement Survey

Increasing BMI causes concerns about the consequences for health care. Decreasing cardiovascular mortality has lowered obesity‐related mortality, extending duration of disability. We hypothesized increased duration of disability among overweight and obese individuals. We estimated age‐, risk‐, and state‐dependent probabilities of activities of daily living (ADL) disability and death and calculated multistate life tables, resulting in the comprehensive measure of life years with and without ADL disability. We used prospective data of 16,176 white adults of the Health and Retirement Survey (HRS). Exposures were self‐reported BMI and for comparison smoking status and levels of education. Outcomes were years to live with and without ADL disability at age 55. The reference categories were high normal weight (BMI: 23–24.9), nonsmoking and high education. Mild obesity (BMI: 30–34.9) did not change total life expectancy (LE) but exchanged disabled for disability‐free years. Mild obesity decreased disability‐free LE with 2.7 (95% confidence limits 1.2; 3.2) year but increased LE with disability with 2.0 (0.6; 3.4) years among men. Among women, BMI of 30 to 34.9 decreased disability‐free LE with 3.6 (2.1; 5.1) year but increased LE with disability with 3.2 (1.6;4.8) years. Overweight (BMI: 25–29.9) increases LE with disability for women only, by 2.1 (0.8; 3.3) years). Smoking compressed disability by high mortality. Smoking decreased LE with 7.2 years, and LE with disability with 1.3 (0.5; 2.5) years (men) and 1.4 (0.3; 2.6) years (women). A lower education decreased disability‐free life, but not duration of ADL disability. In the aging baby boom, higher BMI will further increase care dependence.     

Gender,Race, and Obesity‐Related Quality of Life at Extreme Levels of Obesity

Objective: Research investigating obesity‐related quality of life (QOL) has shown that at increasing levels of overweight, individuals report more impaired QOL. Further, some research has indicated that white women suffer more impairment than men and African Americans. The current study sought to expand the existing literature by investigating an extreme subsample of the obese population. It was expected that participants in the current study would report more impaired obesity‐related QOL than in previous research conducted with less obese individuals. It was also hypothesized that race and gender groups would differ in obesity‐related QOL and that the relationship between degree of overweight and QOL would not be consistent across race and gender groups. Research Methods and Procedures: Impact of Weight on Quality of Life Questionnaire‐Lite Version data were collected from 512 individuals seeking gastric bypass surgery (mean BMI = 53.3) Results: Results confirmed the study hypotheses. In general, white women reported the most QOL impairment, despite having significantly lower BMI than other race/gender groups. Compared with previous studies, the observed relationships between BMI and QOL were somewhat attenuated. Discussion: Various domains of QOL may be differentially affected by degree of obesity; these relationships are not homogeneous throughout the obese population.     

Health‐Related Quality of Life Varies among Obese Subgroups

Objective: To compare the health‐related quality of life (HRQOL) of overweight/obese individuals from different subgroups that vary in treatment‐seeking status and treatment intensity. Research Methods and Procedures: Participants were from five distinct groups, representing a continuum of treatment intensity: overweight/obese community volunteers who were not enrolled in weight‐loss treatment, clinical trial participants, outpatient weight‐loss program/studies participants, participants in a day treatment program for obesity, and gastric bypass patients. The sample was large (n = 3353), geographically diverse (subjects were from 13 different states in the U.S.), and demographically diverse (age range, 18 to 90 years; at least 14% African Americans; 32.6% men). An obesity‐specific instrument, the Impact of Weight on Quality of Life‐Lite questionnaire, was used to assess health‐related quality of life (HRQOL). Results: Results indicated that obesity‐specific HRQOL was significantly more impaired in the treatment‐seeking groups than in the nontreatment‐seeking group across comparable gender and body mass index (BMI) categories. Within the treatment groups, HRQOL varied by treatment intensity. Gastric bypass patients had the most impairment, followed by day treatment patients, followed by participants in outpatient weight‐loss programs/studies, followed by participants in clinical trials. Obesity‐specific HRQOL was more impaired for those with higher BMIs, whites, and women in certain treatment groups. Discussion: There are differences in HRQOL across subgroups of overweight/obese individuals that vary by treatment‐seeking status, treatment modality, gender, race, and BMI.     

Two‐year Follow‐up in 21,784 Overweight Children and Adolescents With Lifestyle Intervention

Although randomized controlled trials demonstrated the long‐term efficacy of lifestyle interventions in overweight children, the effects of these interventions in clinical practice under real‐life conditions are largely unknown. One hundred twenty‐nine centers specialized in outpatient pediatric obesity care participated in this quality assessment. All patients presenting before the year 2006 for lifestyle intervention of at least 6 months duration in these institutions were analyzed in a 2‐year follow‐up. A total of 21,784 (45% male) overweight children and adolescents aged 2–20 years (mean BMI 30.4 kg/m², mean SDS‐BMI 2.51, mean age 12.6 years) were included in the analysis. Based on an intention‐to‐treat analysis with variables set back to baseline in lost of follow‐up, 22% of the children reduced their SDS‐BMI after 6 months, 15% after 12 months, and 7% after 24 months, but only in 24, 17, and 8% of children, respectively, complete data were available. In the five treatment centers with the best outcome (518 patients), 83% of the children reduced their overweight after 6 months, 67% after 12 months, and 51% after 24 months. Under real‐life conditions, most treatment centers cannot prove the long‐term efficacy of their interventions due to high drop‐out rate or lack of documentation. Conversely, some institutions achieved a reduction of overweight in nearly the half of their patients 24 months after baseline demonstrating the great heterogeneity in outcome. To improve the effectiveness of lifestyle interventions in real‐life studying, the process and structure quality as well as their long‐term results is urgently needed.     

Modeling the Impact of Adjustable Gastric Banding on Survival in Patients with Morbid Obesity

Objective: Morbid obesity is associated with premature death. Adjustable gastric banding may lead to substantial weight loss in patients with morbid obesity. Little is known about the impact of weight loss on survival after adjustable gastric banding. We therefore developed a mathematical model to estimate life expectancy in patients with a body mass index (BMI) ≥40 kg/m² undergoing bariatric surgery. Research Methods and Procedures: We developed a nonhomogeneous Markov chain consisting of five states: the absorbing state (“dead”) and the four recurrent states BMI ≥40 kg/m², BMI 36 to 39 kg/m², BMI 32 to 35 kg/m², and BMI 25 to 31 kg/m². Scenarios of weight loss and age‐ and sex‐dependent risk of death, as well as BMI‐dependent excess mortality were extracted from life tables and published literature. All patients entered the model through the state of BMI ≥40 kg/m². Results: In men aged either 18 or 65 years at the time of surgery, who moved from the state BMI ≥40 kg/m² to the next lower state of BMI 36 to 39 kg/m², life expectancy increased by 3 and 0.7 years, respectively. In women aged either 18 or 65 years at the time of surgery, who moved from the state BMI ≥40 kg/m² to the next lower state BMI 36 to 39 kg/m², life expectancy increased by 4.5 and 2.6 years, respectively. Weight loss to lower BMI strata resulted in further gains of life expectancy in both men and women. Discussion: Within the limitations of the modeling study, adjustable gastric banding in patients with morbid obesity may substantially increase life expectancy.     

Obesity and Physical and Emotional Well‐Being: Associations between Body Mass Index,Chronic Illness,and the Physical and Mental Components of the SF‐36 Questionnaire

Objective: To clarify the associations between obesity and health‐related quality of life by exploring the associations between physical and emotional well‐being in relation to obesity and the presence of other chronic illness. Research Methods and Procedures: The study data were collected as part of a postal‐survey within the old Oxford Regional Health Authority of England in 1997. Completed questionnaires were returned by 8889 of 13,800 randomly selected adults aged 18 to 64 years. The main outcome measures were body mass index in five categories (underweight, normal weight, overweight, moderately obese, morbidly obese); chronic illness status (any vs. none and number of such illnesses 0, 1 to 2, 3+); and mean SF‐36 questionnaire score in two summary component measures reflecting physical and emotional well‐being. Results: Of the subjects, 31% were overweight and an additional 11% were obese. Body mass index was significantly associated with health status, but the pattern varied according to whether the measure reflected physical or emotional well‐being. Physical, but not emotional, well‐being deteriorated markedly with increasing degree of overweight and was limited in subjects who were obese but had no other chronic condition; subjects with chronic illnesses other than obesity were compromised in both dimensions. In terms of the number of chronic illnesses reported, the additional presence of obesity was associated with a significant deterioration in physical but not emotional well‐being. Discussion: Overweight and obesity are associated with poor levels of subjective health status, particularly in terms of physical well‐being. The limitations in emotional well‐being that are reported here and in other studies may be a result of confounding by the presence of accompanying chronic illness.     

Identification of an Obese Eating Style in 4‐year‐old Children Born at High and Low Risk for Obesity

This study tested whether children's eating behavior and parental feeding prompts during a laboratory test meal differ among children born at high risk (HR) or low risk (LR) for obesity and are associated with excess child weight gain. At 4 years of age, 32 HR children (mean maternal prepregnancy BMI = 30.4 kg/m²) and 29 LR children (maternal BMI = 19.6 kg/m²) consumed a test meal in which their eating behavior was assessed, including rate of caloric consumption, mouthfuls/min, and requests for food. Parental prompts for the child to eat also were measured at year 4, and child body composition was measured at ages 4 and 6 years. T‐tests, and logistic and multiple regression analyses tested study aims. Results indicated that HR and LR children did not differ in eating rate or parental feeding prompts. Greater maternal BMI, child mouthfuls of food/min, and total caloric intake/min during the test meal predicted an increased risk of being overweight or obese at age 6, whereas greater active mealtime was associated with a reduced risk of being overweight or obese. Regression analyses indicated that only mouthfuls of food/min predicted changes in BMI from 4 to 6 years, and mouthfuls of food/min and gender predicted 2‐year changes in sum of skinfolds and total body fat. Thus, a rapid eating style, characterized by increased mouthfuls of food/min, may be a behavioral marker for the development of childhood obesity.     

Low Recognition of Childhood Overweight and Disease Risk among Native‐American Caregivers**

Objectives: Pediatric obesity is a significant and increasing problem in Native‐American communities. The aim of this study was to determine whether parents and other caregivers from three Wisconsin tribes recognized overweight children. We also assessed caregiver attributes associated with levels of concern for risk of future overweight and chronic disease. Research Methods and Procedures: Data were obtained from child health screenings and caregiver surveys. Participants included 366 kindergarten‐through‐second grade child–caregiver dyads. Children's BMI percentiles were calculated and compared with caregiver responses. We assessed the relationships between predictors of caregiver concern for health risk factors and recognition of overweight. Results: Twenty‐six percent of children were overweight (≥95th percentile), and 19% were at risk for being overweight (≥85th to <95th percentile) using Centers for Disease Control standards. Caregivers recognized only 15.1% of overweight children. Factors predictive of child overweight recognition included a child BMI >99th percentile and grandmother as caregiver. Overall, caregivers were more concerned about diabetes and cardiovascular disease than obesity. Parents with diabetes and heart disease were more concerned than others about risk for these diseases; however, only diabetic parents made a connection between child weight status and future risk of obesity‐related disease. Child sex, child age, and parental education level were not significant predictors for caregiver recognition of an overweight child. Discussion: Most caregivers did not recognize overweight children or associate excess weight with increased risk of disease. When designing community interventions, it is crucial to incorporate caregivers’ attitudes and beliefs regarding childhood overweight and risk of future disease.     

Obesity and Overweight Prevalence in Polish 7‐ to 9‐Year‐Old Children

Objective: Secular trend in childhood obesity is a well‐known phenomenon, and it is important to monitor it in cross‐sectional studies. The study aim was to estimate prevalence of obesity and overweight in Polish 7‐ to 9‐year‐old children and to compare the results with a French study based on the same protocol. Research Methods and Procedures: The study was conducted in 2001 according to the protocol of the European Childhood Obesity Group. Height and weight were measured, and BMI was calculated to define nutritional status in a randomly selected group of 2916 (1445 girls and 1471 boys) primary school children. Obesity and overweight were estimated according to International Obesity Task Force references with curve for obesity and overweight passing through 30 and 25 kg/m² at age 18, respectively. Results: Overweight (including obesity) was found in 15.4% of Polish children (in 15.8% of girls and 15.0% of boys) and obesity in 3.6% (3.7% of girls and 3.6% of boys) compared with 18.1% of overweight and 3.8% of obese children in French study. There was no significant difference in nutrition status between Polish and French children except for higher frequency of overweight in French 9‐year‐old boys. The same trend of decreasing overweight through age classes was observed in both populations. Discussion: The prevalence of obesity and overweight (including obesity) in prepubertal children estimated in two European countries according to the same protocol and using the same references showed little differences between the two populations despite higher prevalence of obesity in Polish than French adults.     

Adult Obesity and Office‐based Quality of Care in the United States

Nationally representative data on the quality of care for obese patients in US‐ambulatory care settings are limited. We conducted a cross‐sectional analysis of the 2005 and 2006 National Ambulatory Medical Care Survey (NAMCS). We examined obesity screening, diagnosis, and counseling during adult visits and associations with patient and provider characteristics. We also assessed performance on 15 previously published ambulatory quality indicators for obese vs. normal/overweight patients. Nearly 50% (95% confidence interval (CI): 46–54%) of visits lacked complete height and weight data needed to screen for obesity using BMI. Of visits by patients with clinical obesity (BMI ≥30.0 kg/m²), 70% (66–74%) were not diagnosed and 63% (59–68%) received no counseling for diet, exercise, or weight reduction. The percentage of visits not being screened (48%), diagnosed (66%), or counseled (54%) for obesity was also notably higher than expected even for patients with known obesity comorbidities. Performance (defined as the percentage of applicable visits receiving appropriate care) on the quality indicators was suboptimal overall. In particular, performance was no better than 50% for eight quality indicators, which are all related to the prevention and treatment of obesity comorbidities, e.g., coronary artery disease, hypertension, hyperlipidemia, asthma, and depression. Performance did not differ by weight status for any of the 15 quality indicators; however, poorer performance was consistently associated with lack of height and weight measurements. In conclusion, many opportunities are missed for obesity screening and diagnosis, as well as for the prevention and treatment of obesity comorbidities, in office‐based practices across the United States, regardless of patient and provider characteristics.     

Additive Interactions of Maternal Prepregnancy BMI and Breast‐feeding on Childhood Overweight

Objective: To examine the interactions of maternal prepregnancy BMI and breast‐feeding on the risk of overweight among children 2 to 14 years of age. Research Methods and Procedures: The 1996 National Longitudinal Survey of Youth, Child and Young Adult data in the United States were analyzed (n = 2636). The weighted sample represented 51.3% boys, 78.0% whites, 15.0% blacks, and 7.0% Hispanics. Childhood overweight was defined as BMI ≥95th percentile for age and sex. Maternal prepregnancy obesity was determined as BMI ≥30 kg/m². The duration of breast‐feeding was measured as the weeks of age from birth when breast‐feeding ended. Results: After adjusting for potential confounders, children whose mothers were obese before pregnancy were at a greater risk of becoming overweight [adjusted odds ratio (OR), 4.1; 95% confidence interval (CI), 2.6, 6.4] than children whose mothers had normal BMI (<25 kg/m²; p < 0.001 for linear trend). Breast‐feeding for ≥4 months was associated with a lower risk of childhood overweight (OR, 0.6; 95% CI, 0.4, 1.0; p = 0.06 for linear trend). The additive interaction between maternal prepregnancy obesity and lack of breast‐feeding was detected (p < 0.05), such that children whose mothers were obese and who were never breast‐fed had the greatest risk of becoming overweight (OR, 6.1; 95% CI, 2.9, 13.1). Discussion: The combination of maternal prepregnancy obesity and lack of breast‐feeding may be associated with a greater risk of childhood overweight. Special attention may be needed for children with obese mothers and lack of breast‐feeding in developing childhood obesity intervention programs.     

Accuracy of Self‐Reported Energy Intakes in Low‐Income Urban 4th Grade Minority Children

We examined the accuracy of self‐reported energy intake (rEI) in low‐income, urban minority school‐aged children at risk for obesity and associated diabetes utilizing a relatively new, simple previously published prediction equation for identifying inaccurate reports of dietary energy intake. Participants included 614 nine‐year‐old boys (51%) and girls (49%). Three 24‐h dietary recalls were collected. Children's height, weight (used to calculate BMI), and percent body fat (%BF) were measured. Physical fitness, reported family history of diabetes, and ethnicity were also collected. A previously published prediction equation was used to determine the validity of rEIs in these children to identify under‐, plausible‐, and over‐reporters. Additionally, we examined the question of whether there is a difference in reporting by sex, ethnicity, BMI, and %BF. On average, 18% of the children were at risk of being overweight, 43% were already overweight at baseline, yet these children reported consuming fewer calories on average than recommended guidelines. Additionally, reported caloric intake in this cohort was negatively associated with BMI and %BF. Using the previously described methods, 49% of participants were identified as under‐reporters, whereas 39 and 12% were identified as plausible‐ and over‐reporters, respectively. On average, children reported caloric intakes that were almost 100% of predicted energy requirement (pER) when the sedentary category was assigned. Inactivity and excessive energy intake are important contributors to obesity. With the rising rates of obesity and diabetes in children, accurate measures of energy intake are needed for better understanding of the relationship between energy intake and health outcomes.     

Childhood Overweight Status Predicts Diabetes at Age 21 Years: A Follow‐up Study

We examined the prospective association of childhood BMI z‐score and BMI categories (normal or overweight) with young adult diabetes, controlling for early life, childhood, and adolescence factors. A subsample of 2,639 young adults from the Mater–University study of pregnancy (MUSP) and its outcomes, a prospective birth cohort who were born in Brisbane, Australia and for whom we had measured height and weight at 5 years and self‐reported diabetes at age 21 years. The risk of developing diabetes by age 21 years was greater among young adults who had greater BMI z‐score or were overweight at age 5 years than those who had normal BMI at age 5 years. Young adults who were overweight at age 5 years had an increased odds ratio of 2.60 (95% confidence interval (CI): 1.29, 5.22, in age‐ and sex‐adjusted model) of experiencing diabetes by age 21 years. Adjustment for potential confounders and mediators including intrauterine environmental factors, childhood dietary patterns, television watching, participation in sports and exercise, and current weight, did not substantively alter these associations. Overweight and increasing BMI z‐score at childhood is an independent predictor of young adult's type 1 and type 2 diabetes. Findings of this study suggest that childhood BMI may be central to the development and rising incidence of all diabetes.     

Age-variability in body shape associated with excess weight: the UK National Sizing Survey

Background: The health risks of obesity are disproportionately due to central abdominal adiposity; however, the extent to which age is associated with the body shape of obese adults is not known. Objective: Three‐dimensional (3D) data on body shape from the UK National Sizing Survey were analyzed to investigate age‐associated changes in body shape within the BMI bands <20, 20–24.99, 25–29.99 and ≥30 kg/m². Methods: Measurements of anthropometry (weight and height) and a 3D body scan were obtained in 4,344 men and 5,266 women recruited from eight British cities. Results: The body shape of men showed high consistency within BMI bands between early adulthood and old age. In contrast, the body shape of women altered within each BMI band with increasing age. In obese, overweight, and normal weight women, age was associated with decreased thigh girth, increased waist, and bust girth. Whereas young obese women maintained an hourglass shape, in old age the body shape of obese women converged on that of obese men. Discussion: The association of age with body shape is markedly different between the sexes, with the impact of obesity on shape strongly age‐dependent in women but not in men. The age delay in the association between obesity and high waist girth in women may contribute to the sex‐difference in life expectancy. The relationship between body shape change and cardiovascular risk merits longitudinal investigation within individuals.     

Sitting Time Is Associated With Weight,but Not With Weight Gain in Mid‐Aged Australian Women

The aim of this study was to examine the associations between sitting time, weight, and weight gain in Australian women born in 1946–1951. Data were from 8,233 women who completed surveys for the Australian Longitudinal Study on Women's Health (ALSWH) in 2001, 2004, and 2007. Associations between sitting time and weight, and between sitting time and weight change in each 3‐year period were examined using repeated measures modeling. The associations between weight and change in sitting time were also examined. Analyses were stratified for BMI categories: normal weight (18.5 ≤ BMI < 25), overweight (25 ≤ BMI < 30), and obese (BMI ≥ 30). In cross‐sectional models, each additional hour of sitting time was associated with 110 g (95% confidence interval (CI): 40–180) and 260 g (95% CI: 140–380) additional weight in overweight and obese women, respectively (fully adjusted model). In prospective analyses, sitting time was not consistently associated with weight change, after adjustment for other variables, and weight was not associated with change in sitting time over successive 3‐year periods. In conclusion, although the cross‐sectional associations between sitting time and weight were evident in overweight and obese women, there was no consistent association between sitting time and weight gain. A potential explanation is that prospective associations may only be apparent over longer periods of time. These results do not support a role for reducing sitting time as a short‐term means of weight control in mid‐aged women.     

Insulin Sensitivity as a Mediator of the Relationship Between BMI and Working Memory‐Related Brain Activation

Midlife obesity is associated with cognitive deficits and cerebral atrophy in older age. However, little is known about the early signs of these deleterious brain effects or the physiological mechanisms that underlie them. Functional magnetic resonance imaging (fMRI) allows us to detect early changes in brain response to cognitive challenges while behavioral performance is still intact. Accordingly, we examined the impact of obesity on functional activation during a 2‐Back task in 32 cognitively normal middle‐aged adults, who were classified into normal, overweight, and obese groups according to BMI. Additionally, we examined insulin sensitivity as a potential mediator of the relationship between BMI and brain activation. Insulin sensitivity is of special interest because insulin is strongly associated with both obesity and central nervous system functioning. Group differences in task‐related brain activation were examined in a priori regions of interest (ROIs) using ANOVA. The obese BMI group displayed significantly lower task‐related activation in the right parietal cortex, BA 40/7, (F(2,29) = 5.26, P = 0.011) than the normal (P = 0.016) and overweight (P = 0.047) BMI groups. Linear regression and bootstrapping methods for assessing indirect effects indicated that insulin sensitivity fully mediated the relationship between task‐related activation in the right parietal cortex and BMI ((F(3,28) = 9.03, P = 0.000), β = 0.611, P = 0.001, 95% confidence interval: ?2.548 to ?0.468). In conclusion, obesity in middle age was related to alterations in brain activation during a cognitive challenge and this association appeared to be mediated by insulin sensitivity.     

Influence of calendar period on the association between BMI and coronary heart disease: A meta‐analysis of 31 cohorts

Objective:

The association between obesity and coronary heart disease (CHD) may have changed over time, for example due to improved pharmacological treatment of CHD risk factors. This meta‐analysis of 31 prospective cohort studies explores the influence of calendar period on CHD risk associated with body mass index (BMI).

Design and Methods:

The relative risks (RRs) of CHD for a five‐BMI‐unit increment and BMI categories were pooled by means of random effects models. Meta‐regression analysis was used to examine the influence of calendar period (>1985 v ≤1985) in univariate and multivariate analyses (including mean population age as a covariate).

Results:

The age, sex, and smoking adjusted RR (95% confidence intervals) of CHD for a five‐BMI‐unit increment was 1.28(1.22:1.34). For underweight, overweight and obesity, the RRs (compared to normal weight) were 1.11(0.91:1.36), 1.31(1.22:1.41), and 1.78(1.55:2.04), respectively. The univariate analysis indicated 31% (95%CI: ?56:0) lower RR of CHD associated with a five‐BMI‐unit increment and a 51% (95%CI: ?78: ?14)) lower RR associated with obesity in studies starting after 1985 (n = 15 and 10, respectively) compared to studies starting in or before 1985 (n = 16 and 10). However, in the multivariate analysis, only mean population age was independently associated with the RRs for a five‐BMI‐unit increment and obesity (?29(95%CI: ?55: ?5)) and ?31(95%CI: ?66:3), respectively) per 10‐year increment in mean age).

Conclusion:

This study provides no consistent evidence for a difference in the association between BMI and CHD by calendar period. The mean population age seems to be the most important factor that modifies the association between the risk of CHD and BMI, in which the RR decreases with increasing age.