Obesity history as a predictor of walking limitation at old age

Objective: To study whether walking limitation at old age is determined by obesity history. Research Methods and Procedures: In a retrospective longitudinal study based on a representative sample of the Finnish population of 55 years and older (2055 women and 1337 men), maximal walking speed, body mass, and body height were measured in a health examination. Walking limitation was defined as walking speed <1.2 m/s or difficulty in walking 0.5 km. Recalled height at 20 years of age and recalled weight at 20, 30, 40, and 50 years of age were recorded. Results: Subjects who had been obese at the age of 30, 40, or 50 years had almost a 4‐fold higher risk of walking limitation compared to non‐obese. Obesity duration increased the age‐ and gender‐adjusted risk of walking limitation among those who had been obese since the age of 50 (odds ratio, 4.33; 95% confidence interval, 2.59 to 7.23, n = 114), among the obese since the age of 40 [6.01 (2.55 to 14.14), n = 39], and among the obese since the age of 30 [8.97 (3.06 to 26.29), n = 14]. The risk remained elevated even among those who had previously been obese but lost weight during their midlife or late adulthood [3.15 (1.63 to 6.11), n = 71]. Discussion: Early onset of obesity and obesity duration increased the risk of walking limitation, and the effect was only partially mediated through current BMI and higher risk of obesity‐related diseases. Preventing excess weight gain throughout one's life course is an important goal in order to promote good health and functioning in older age.     

Intelligence Test Score and Educational Level in Relation to BMI Changes and Obesity

Objective: To investigate whether intelligence and education are related to subsequent BMI changes and development and persistence of obesity in men from young adulthood through middle‐age. Research Methods and Procedures: Subjects were selected among men (median age, 19 years; examined between 1956 and 1977) appearing at Danish draft boards: a group with juvenile‐onset obesity, including all men with a BMI of ≥31.0 kg/m²; and a nonobese group randomly selected as a 1% sample of the study population. The obese group and 50% of the nonobese group were invited to participate in follow‐up studies between 1982 and 1984 and between 1992 and 1994. Among 907 men with juvenile‐onset obesity and 883 nonobese men, age, examination region, intelligence test score, education, and BMI from baseline to first follow‐up were analyzed by multiple linear and logistic regressions analyses. Results: Education and intelligence, analyzed separately, were inversely related to BMI changes in both groups and to the development of obesity in the nonobese group. When adjusted for education, the association between intelligence score and BMI changes and development of obesity vanished, whereas the inverse relationship for education persisted only for BMI changes. Intelligence score was not associated with the persistence of obesity in the obese group, whereas inverse relationships were found for education. Discussion: Intelligence test score was inversely related to risk of BMI changes and the risk of development of obesity, perhaps with education acting as a mediator or indicator of cognitive ability. Education, but not intelligence, was inversely associated with risk of remaining obese.     

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.     

Weight Status Continuity and Change From Adolescence to Young Adulthood: Examining Disease and Health Risk Conditions

This study examined weight status during adolescence and young adulthood, and young adult health condition diagnosis. Data are from 10,439 African‐American, Hispanic, and white men and women participating in the National Longitudinal Study of Adolescent Health during Waves 1 (adolescence: ages 12–19) and 3 (young adulthood: ages 19–26). Categories were created differentiating individuals based on their weight status during adolescence and young adulthood: (i) obese during adolescence and young adulthood (i.e., continuously obese), (ii) obese during adolescence only, (iii) obese during young adulthood only, and (iv) never obese. Multilevel random intercept regression models were used to examine the impact of obesity category, sex, and race/ethnicity on young adult asthma, diabetes, high cholesterol, and high blood pressure. Continuous obesity increased the likelihood for young adult disease and health risk conditions compared to individuals who were never obese. Obesity isolated to adolescence (Wave 1) increased the likelihood for high cholesterol and high blood pressure, whereas obesity isolated to young adulthood (Wave 3) also increased the likelihood for diabetes—all increases were relative to nonobese weight status during both periods. Associations varied in direction and degree when sex and race/ethnicity were considered. Findings clarify some of the mixed understandings regarding the associations between age of onset and stability of obesity, and health outcomes with important public health implications. Although results indicate obesity isolated to a single developmental period does have health repercussions, obesity experienced continuously during adolescence and young adulthood greatly intensified risk across all health conditions.     

Eating Frequency is Associated With Energy Intake but Not Obesity in Midlife Women

Midlife women tend to gain weight with age, thus increasing risk of chronic disease. The purpose of this study was to examine associations between overweight/obesity and behavioral factors, including eating frequency, in a cross‐sectional national sample of midlife women (n = 1,099) (mean age = 49.7 years, and BMI = 27.7 kg/m²). Eating behaviors and food and nutrient intakes were based on a mailed 1‐day food record. BMI was calculated from self‐reported height and weight, and level of physical activity was assessed by self‐reported questionnaire. After exclusion of low‐energy reporters (32% of sample), eating frequency was not associated with overweight/obesity (P > 0.05) and was not different between BMI groups (normal, 5.21 ± 1.79; overweight, 5.16 ± 1.74; obese, 5.12 ± 1.68, P = 0.769). Adjusted logistic regression showed that eating frequency, snacking frequency, breakfast consumption, eating after 10 pm and consuming meals with children or other adults were not significantly associated with overweight/obesity. Total energy intake increased as eating frequency increased in all BMI groups, however, obese women had greater energy intake compared to normal weight women who consumed the same number of meals and snacks. Intake of fruit and vegetables, whole grains, dietary fiber, dairy, and added sugars also increased as eating frequency increased. While eating frequency was not associated with overweight/obesity, it was associated with energy intake. Thus, addressing total energy intake rather than eating frequency may be more appropriate to prevent weight gain among midlife women.     

Breast cancer risk and the interaction between adolescent body size and weight gain in later life: A case-control study

BackgroundWhile the breast cancer risk associated with increasing adult BMI in postmenopausal women can be explained by increases in concentrations of endogenous estrogens the biologic mechanisms behind the inverse association between adolescent BMI and breast cancer risk are still a subject of controversial debate.MethodsWe investigated the association of breast cancer with body size and changes in body size across life time estimated by age-specific BMI Z scores and changes in BMI Z scores from teenage years to middle age in an age-matched population-based case-control study of 2994 Australian women. Logistic regression adjusted for the matching factor age and further potential confounders was used.ResultsAdolescent body leanness in postmenopausal women and excess adult weight gain in all study participants were associated with an increased breast cancer risk with an odds ratio [95% confidence interval] of 1.29 [1.08,1.54] and 1.31 [1.09,1.59], respectively. Interaction analyses restricted to postmenopausal women revealed an increased risk of breast cancer in those who were lean during adolescence and gained excess weight during adulthood (odds ratio [95% confidence interval]: 1.52 [1.19,1.95]) but not in women who were lean during adolescence and did not gain excess weight during adulthood (1.20 [0.97,1.48]) and not in women who were not lean during adolescence and but gained excess weight during adulthood (1.10 [0.95,1.27]) compared to postmenopausal women who were neither lean during adolescence nor gained excess weight.ConclusionIn postmenopausal women adolescent leanness was only associated with increased breast cancer risk when excess weight was gained during adulthood.     

Does Childhood Sexual Abuse Predict Young Adult's BMI? A Birth Cohort Study

Objective: The objective was to identify the extent to which childhood sexual abuse (CSA) is associated with BMI and overweight status in young adulthood and to examine whether any associations differ by gender. Research Methods and Procedures: The Mater‐University of Queensland Study of Pregnancy is a prospective birth cohort from a population‐based sample involving 7223 singletons whose mothers were enrolled in the 1980s at the first antenatal visit. The present cohort consisted of a subgroup of 2461 young adults who had both self‐reported CSA data and measured BMI at 21 years. Results: Of 1273 men, 10.5% reported non‐penetrative and 7.5% reported penetrative CSA before age 16 years. Of 1305 women, 20.6% reported non‐penetrative and 7.9% reported penetrative CSA by age 16 years. We found young women's BMI and the prevalence of overweight at age 21 were greater in those who experienced penetrative CSA. This association was robust to adjustment for a variety of potential confounders. However, there was no association between non‐penetrative CSA and BMI in women and no association between either category of CSA and BMI in men. There was statistical evidence for a gender difference in the association of CSA with mean BMI at age 21 (p value for statistical interaction <0.01 in all models). Discussion: These findings suggest that among women, penetrative CSA is associated with greater BMI and increased odds of being overweight in later life, whereas in men, this association does not hold. This gender difference may reflect differences between women and men in the relationship between psychological trauma and body image or may be a chance subgroup finding.     

Physical inactivity and obesity: a vicious circle

Objective: Physical activity (PA) begins to decline in adolescence with a concomitant increase in weight. We hypothesized that a vicious circle may arise between decreasing PA and weight gain from adolescence to early adulthood. Methods and Procedures: PA and self‐perceived physical fitness assessed in adolescents (16–18 years of age) were used to predict the development of obesity (BMI ≥30 kg/m²) and abdominal obesity (waist ≥88 cm in females and ≥102 cm in males) at age 25 in 4,240 twin individuals (90% of twins born in Finland, 1975–1979). Ten 25‐year‐old monozygotic (MZ) twin pairs who were discordant for obesity (with a 16 kg weight difference) were then carefully evaluated for current PA (using a triaxial accelerometer), total energy expenditure (TEE, assessed by means of the doubly labeled water (DLW) method), and basal metabolic rate (BMR, assessed by indirect calorimetry). Results: Physical inactivity in adolescence strongly predicted the risk for obesity (odds ratio (OR) 3.9, 95% confidence interval (CI) 1.4–10.9) and abdominal obesity (4.8, 1.9–12.0) at age 25, even after adjusting for baseline and current BMI. Poor physical fitness in adolescence also increased the risk for overall obesity (5.1, 2.0–12.7) and abdominal obesity (3.2, 1.5–6.7) in adulthood. Physical inactivity was both causative and secondary to the development of obesity discordance in the MZ pairs. TEE did not differ between the MZ co‐twins. PA was lower whereas BMR was higher in the obese co‐twins. Discussion: Physical inactivity in adolescence strongly and independently predicts total (and especially) abdominal obesity in young adulthood, favoring the development of a self‐perpetuating vicious circle of obesity and physical inactivity. Physical activity should therefore be seriously recommended for obesity prevention in the young.     

Blood Pressure in Adolescence and Early Adulthood Related to Obesity and Birth Size

Objective: Obesity is an established risk factor for higher systolic (SBP) and diastolic (DBP) blood pressure in adolescence and early adulthood, but birth size may also have a role. We analyzed the effects of adolescent and adult obesity and birth size on BP in the young adult. Research Methods and Procedures: In a prospective longitudinal study, anthropometric measurements were obtained at birth on 67 boys and 67 girls bom in Boston. Their body mass indices (BMI) and BP were recorded 17 years and 30 years later. Results: For women, adolescent and early adult obesity appeared to be the stronger determinants of higher BP, although smaller head and chest circumferences at birth may also be related. We found some evidence of birth (ponderal index [PI] and head circumference) anthropometric influences on age 17 BP levels in boys. By age 30, body mass variables were the dominant predictors of male BP levels. Female BMI at age 17 was positively correlated with birth adiposity (PI), but BMI at 30 was related only to age 17 BMI. Similarly, male BMI at 17 years was higher for those who weighed more at birth, but BMI at 30 years was again related only to age 17 BMI. Discussion: We conclude that adult weight and weight gain are the major determinants of adult BP.     

Sleep duration and BMI in a sample of young adults

We examined the association between sleep duration and BMI in young adults, and, specifically, in possible gender differences. The population-based sample included 955 young men and 1051 young women (mean age = 25.3 years, s.d. = 1.7) who participated in Project EAT-III (Eating and Activity in Teens and Young Adults)-III. In 2008-2009, study participants completed a survey, on which they reported their weight, height, and typical bed and awakening times. Gender-specific regression models estimated cross-sectional associations between sleep duration and weight status, adjusting for age, race, SES, family structure, depressive symptoms, physical activity, and sedentary and dietary behaviors. In multivariable-adjusted linear regression models, an hour increase in sleep was associated with a -0.38 (-0.70, -0.048) BMI in men. Men who slept <7 h had a 1.4 unit higher mean BMI (27.9; 95% confidence interval (CI): 26.9, 28.9) than men who slept 7-9 h/day (26.5; 95% CI: 26.1, 27.0). Prevalence estimates of overweight (BMI ≥ 25) and obesity (BMI ≥ 30) were also inversely associated with sleep duration among men. Sleep duration was not associated with BMI, overweight, or obesity in women. Among women, but not men, there was a statistically significant positive association between trouble falling or staying asleep and mean BMI. Sleep may be an important modifiable risk factor for obesity, particularly in young adult men.     

Overweight and Obesity in Young and Middle Age and Early Retirement: The ARIC Study

The objective of this study was to examine associations between weight status in young and middle age and early retirement in African‐American and white men and women. Data were from the Atherosclerosis Risk in Communities (ARIC) study. Analyses were restricted to participants aged 45–55 years at baseline (n = 6,483). Associations between weight status at age 25 and ages 45–55 and age at early retirement (prior to age 65) over 9 years of follow‐up were examined using proportional hazard regression analyses in models stratified by race and gender. Models were adjusted for education, household income, health insurance status, occupation, occupational physical activity, marital status, smoking, and field center. Between 18.7 and 21.6% of African‐American and white men and women reported retiring prior to age 65. Although not always statistically significant, overweight and obesity were associated with early retirement in all but white women. Overweight (BMI ≥ 25 kg/m²) at age 25 was significantly associated with early retirement in African‐American women (hazard ratio (95% confidence interval): 1.62 (1.17–2.23)) and white men (1.32 (1.12–1.57)). There was also a trend between overweight at age 25 and early retirement in African‐American men (1.43 (0.99–2.07)). Obesity (BMI ≥ 30 kg/m²) in middle age was significantly associated with early retirement in white men only (1.32 (1.03–1.69)). Furthermore, overweight at age 25 and obesity at ages 45–55 were associated with early retirement for health reasons among African‐American and white men and women. In conclusion, analyses of the economic impact of obesity may need to consider its effects on early retirement.     

Weight cycling and 6-year weight change in healthy adults: The Aerobics Center Longitudinal Study

Objective: To determine the longitudinal relationship between a reported history of weight cycling and the trajectory of weight in a group of normal‐weight to obese women and men. Research Methods and Procedures: This was a clinic‐based cohort study conducted over 6 years. Subjects were healthy women (n = 141) and men (n = 797) age 20 to 78 years who completed at least four comprehensive medical exams at the Cooper Clinic (Dallas, TX) between 1987 and 2003. Weight loss history was reported, and body weight was measured at all examinations. Weight cycling status was derived from weight loss history and defined as ≥five episodes of weight loss of ≥2.3 kg/episode. Using linear mixed effects models, weight at each examination was regressed on weight cycling status separately for women and men while controlling for selected covariables. Results: Baseline BMI was 23 and 21 kg/m² among cycling and non‐cycling women and was 27 and 25 kg/m² among cycling and non‐cycling men, respectively. We observed a non‐significant difference (p = 0.09) in women by cycling status (average weight gain = 0.5 and 0.2 kg/yr among cyclers and non‐cyclers, respectively) and no difference in weight gain over time among men by cycling status (average weight gain = 0.2 kg/yr among both groups, p = 0.99). Higher baseline cardiorespiratory fitness level and increased fitness over the follow‐up were associated with attenuated weight gain in both women and men. Discussion: In healthy, middle‐aged individuals, a history of weight cycling does not seem to increase the risk of long‐term weight gain in men; however, this relation needs to be studied further in women.     

Characterizing Long-Term Patterns of Weight Change in China Using Latent Class Trajectory Modeling

BackgroundOver the past three decades, obesity-related diseases have increased tremendously in China, and are now the leading causes of morbidity and mortality. Patterns of weight change can be used to predict risk of obesity-related diseases, increase understanding of etiology of disease risk, identify groups at particularly high risk, and shape prevention strategies.MethodsLatent class trajectory modeling was used to compute weight change trajectories for adults aged 18 to 66 using the China Health and Nutrition Survey (CHNS) data (n = 12,611). Weight change trajectories were computed separately for males and females by age group at baseline due to differential age-related patterns of weight gain in China with urbanization. Generalized linear mixed effects models examined the association between weight change trajectories and baseline characteristics including urbanicity, BMI category, age, and year of study entry.ResultsTrajectory classes were identified for each of six age-sex subgroups corresponding to various degrees of weight loss, maintenance and weight gain. Baseline BMI status was a significant predictor of trajectory membership for all age-sex subgroups. Baseline overweight/obesity increased odds of following ‘initial loss with maintenance’ trajectories. We found no significant association between baseline urbanization and trajectory membership after controlling for other covariates.ConclusionTrajectory analysis identified patterns of weight change for age by gender groups. Lack of association between baseline urbanization status and trajectory membership suggests that living in a rural environment at baseline was not protective. Analyses identified age-specific nuances in weight change patterns, pointing to the importance of subgroup analyses in future research.     

Adult obesity does not predict 6-year weight gain in men: the Aerobics Center Longitudinal Study

Objective: To determine the longitudinal relation between history of adult obesity and the 6‐year trajectory of weight change in men. Research Methods and Procedures: Subjects were healthy, affluent men (n = 761) between the ages of 20 and 78 years who completed at least four comprehensive medical exams at the Cooper Clinic between 1987 and 2003. Maximum adult weight was reported, and current height was measured at baseline. Body weight and cardiorespiratory fitness were measured at all examinations. Adult obesity status was determined from self‐reported maximum weight and measured height at baseline as BMI ≥ 30 kg/m². Weight at all examinations was regressed on a history of adult obesity using linear mixed effects modeling. Results: At baseline, men reporting a history of adult obesity were significantly heavier than men reporting no such history (BMI 29.8 vs. 25.0 kg/m²; p < 0.05). However, the rate of weight gain among men with a history of obesity was slower than among men without a history of adult obesity (0.04 vs. 0.18 kg/yr; p = 0.09), although this difference was only marginally significant. Fitness modulated the relationship between history of obesity and weight change over time, and both higher levels of fitness and greater frequency of dieting were associated with attenuated weight gain. In contrast, chronic disease and depression were associated with accelerated weight gain. Discussion: Although a history of obesity was associated with higher weight, it did not seem to result in accelerated weight gain over time. Additionally, dieting and fitness were important for minimizing weight gain.     

Youth BMI Trajectories: Evidence From the NLSY97

We examined heterogeneity in BMI trajectory classes among youth and variables that may be associated with trajectory class membership. We used data from seven rounds (1997–2003) of the 1997 National Longitudinal Survey of Youth (NLSY97), a nationally representative, longitudinal survey of people born between 1980 and 1984 who were living in the United States in 1997. The analyses were based on an accelerated longitudinal design. General growth mixture modeling implemented in Mplus (version 4.1) was used to identify subtypes of youth BMI growth trajectories over time. Four distinct youth BMI trajectories were identified. Class 1 includes youth at high risk for becoming obese by young adulthood (at age 12 and 23, ～67 and 90%, respectively, are classified as obese, and almost 72% will have had a BMI ≥ 40 at some time during this developmental period). Class 2 includes youth at moderate‐to‐high risk (at age 12 and 23, ～55 and 68%, respectively, are classified as obese). Class 3 includes youth at low‐to‐moderate risk (i.e., at age 12 and 23, ～8 and 27%, respectively, are classified as obese). Class 4 includes youth at low risk (few of these youth are obese at any age during this developmental period). These results highlight the importance of considering heterogeneity in BMI growth among youth and early interventions among those most at risk of the adverse health consequences of excess weight.     

First nationwide survey of prevalence of overweight, underweight, and abdominal obesity in Iranian adults

Objective: The goal was to estimate the prevalence of overweight, obesity, underweight, and abdominal obesity among the adult population of Iran. Research Methods and Procedures: A nationwide cross‐sectional survey was conducted from December 2004 to February 2005. The selection was conducted by stratified probability cluster sampling through household family members in Iran. Weight, height, and waist circumference (WC) of 89,404 men and women 15 to 65 years of age (mean, 39.2 years) were measured. The criteria for underweight, normal‐weight, overweight, and Class I, II, and III obesity were BMI <18.5, 18.5 to 24.9, 25 to 29.9, 30 to 34.9, 35 to 39.9, and ≥40 (kg/m²), respectively. Abdominal obesity was defined as WC ≥102 cm in men and ≥88 cm in women. Results: The age‐adjusted means for BMI and WC were 24.6 kg/m² in men and 26.5 kg/m² in women and 86.6 cm in men and 89.6 cm in women, respectively. The age‐adjusted prevalence of overweight or obesity (BMI ≥25) was 42.8% in men and 57.0% in women; 11.1% of men and 25.2% of women were obese (BMI ≥30), while 6.3% of men and 5.2% of women were underweight. Age, low physical activity, low educational attainment, marriage, and residence in urban areas were strongly associated with obesity. Abdominal obesity was more common among women than men (54.5% vs. 12.9%) and greater with older age. Discussion: Excess body weight appears to be common in Iran. More women than men present with overweight and abdominal obesity. Prevention and treatment strategies are urgently needed to address the health burden of obesity.     

Body mass index and weight gain after middle adulthood are associated with risk of papillary thyroid cancer: A case–control study

BackgroundIt is unclear whether weight change after middle adulthood influences the risk of thyroid cancer. The aim of this study was to investigate associations between the risk of papillary thyroid cancer (PTC) and body mass index (BMI) and weight change after middle adulthood (age 35).MethodsA matched case–control study based on three hospitals included 516 pairs of cases newly diagnosed with PTC and controls. Current height and weight after defecation in the morning were measured by trained nurses. During measurement, all subjects were requested to wear lightweight clothing and no shoes. Weight at age 35 was self-reported. BMI and weight change were modeled as continuous and categorical variables. Conditional and unconditional logistic regression models were used to estimate the odds ratio (OR) and 95% confidence interval (95%CI) for the association between BMI and weight change after middle adulthood and PTC.ResultsAfter adjustment for covariates, measured BMI at the time of current diagnosis was positively associated with PTC (OR 1.16, 95%CI 1.10–1.21). According to WHO BMI guidelines for Asia-Pacific populations, the OR (95%CI) for PTC risk in obesity was 2.99 (1.92–4.67) compared to normal weight (p-trend <0.001). Moreover, PTC was positively associated with BMI at age 35; the OR (95%CI) for PTC risk per unit increase in BMI was 1.06 (1.02–1.11). Compared to stable weight (changed <0.5 kg/year), weight gain ≥1.0 kg/year after middle adulthood was positively associated with PTC (OR 2.57, 95%CI 1.39–4.76, p-trend <0.001). Compared to maintaining non-overweight status, the PTC risk was significantly increased in those individuals who gained weight and became overweight after middle adulthood (OR 3.82, 95%CI 2.50–5.85).ConclusionThis study showed that high BMI and obesity were positively associated with increased risk of PTC, and weight gain after middle adulthood also could elevate the PTC risk.     

Stigmatized Students: Age,Sex, and Ethnicity Effects in the Stigmatization of Obesity

Objective: To assess the stigmatization of obesity relative to the stigmatization of various disabilities among young men and women. Attitudes across ethnic groups were compared. In addition, these findings were compared with data showing severe stigmatization of obesity among children. Research Methods and Procedures: Participants included 356 university students (56% women; mean age, 20.6 years; mean BMI, 23.3 kg/m²; range, 14.4 to 45.0 kg/m²) who ranked six drawings of same‐sex peers in order of how well they liked each person. The drawings showed adults with obesity, various disabilities, or no disability. These rankings were compared with those obtained through a similar procedure with 458 fifth‐ and sixth‐grade children. Results: Obesity was highly stigmatized relative to physical disabilities. African‐American women liked obese peers more than did African‐American men, white men, or white women [F (1, 216) = 4.02, p < 0.05]. Overweight and obese participants were no less stigmatizing of obesity than normal weight participants. Adults were more accepting than children of their obese peers [t (761) = 9.16, p < 0.001]. Discussion: Although the stigmatization of obesity was high among participants overall, African‐American women seemed to have more positive attitudes toward obesity than did white women, white men, or African‐American men. Participants’ weight did not affect their stigmatization of obesity: obese and overweight adults were as highly stigmatizing of obesity as non‐overweight adults. Such internalized stigmatization could help to explain the low self‐esteem and poor body image among obese young adults. However, adults seemed to have more positive attitudes about obesity than children. An understanding of the factors that limit the stigma of obesity among African‐American women could help efforts to reduce stigma.     

The association between birth weight and visceral fat in middle-age adults

Objective: Low birth weight, a proxy for fetal underdevelopment, is associated with increased risk of developing type 2 diabetes during adulthood. Low birth weight is also associated with central obesity, but little is known about the association between birth weight and visceral adiposity. The purpose of this study is to test the hypothesis that lower birth weight is associated with increased amounts of visceral fat in middle‐age adults. Research Methods and Procedures: This is an observational study of 91 adults (58 men and 33 women) 40 ± 6 years of age (mean ± standard deviation). Ethnicity was either Japanese American (79%) or non‐Hispanic white (21%). Birth weight was obtained from State Departments of Health. Measurements included smoking status, BMI, and visceral (intra‐abdominal) fat measured by computed tomography. Results: Visceral fat was not associated with birth weight after adjustment for age, sex, ethnicity, BMI, or smoking status (p = 0.76). There was no evidence that the association between birth weight and visceral fat varied by age, sex, or ethnicity. Discussion: We found no evidence that low birth weight is associated with increased visceral fat in middle‐age adults     

Obesity and Depression in US Women: Results From the 2005–2006 National Health and Nutritional Examination Survey

Research is needed to better elucidate the relationship between obesity and depression, which has been most consistently demonstrated for women, but not for men. We examined exclusively a population‐based sample of US women who participated in the 2005 or 2006 National Health and Nutritional Examination Survey. Current depression was defined as having a score of ≥10 (a conventional threshold for moderate symptoms of depression) or meeting the Diagnostic and Statistical Manual of Mental Disorders, 4th edition (DSM‐IV) diagnostic criteria for major depression on the nine‐item Patient Health Questionnaire. Weight and height were measured and BMI was calculated. Waist circumference, a clinical measure of abdominal obesity, was also measured. BMI was positively associated with the probability of moderate/severe depressive symptoms (r = 0.49, P = 0.03) and major depression (r = 0.72, P < 0.0001). The probability curves increased progressively, beginning at BMI of 30. Degree of obesity was an independent risk factor for depression even within the obese population, and women in obesity class 3 (BMI ≥40) were at particular risk (odds ratio (OR) = 4.91, 95% confidence interval (CI): 1.17–20.57), compared to those in obesity class 1 (BMI 30 to <35). Abdominal obesity was positively associated with depressive symptoms, but not major depression, independent of general obesity (BMI). In addition to severe obesity, compromised physical health status, young or middle‐aged adulthood, low income, and relatively high education were also independently associated with greater odds of depressive symptoms among obese women. These characteristics may identify specific at‐risk subgroups of obese women in which hypothesized causal pathways and effective preventive and therapeutic interventions can be profitably investigated.