Weight gain prevention among women

Objective: Women 25 to 45 years old are at risk for weight gain and future obesity. This trial was designed to evaluate the efficacy of two interventions relative to a control group in preventing weight gain among normal or overweight women and to identify demographic, behavioral, and psychosocial factors related to weight gain prevention. Research Methods and Procedures: Healthy women (N = 284), ages 25 to 44, with BMI < 30 were randomized to one of three intervention conditions: a clinic‐based group, a correspondence course, or an information‐only control. Intervention was provided over 2 years, with a follow‐up at Year 3. BMI and factors related to eating and weight were assessed yearly. Results: Over the 3‐year study period, 40% (n = 114) of the women remained at or below baseline body weight (±2 lbs), and 60% gained weight (>2 lbs). Intervention had no effect on weight over time. Independently of intervention, women who were older, not actively dieting to lose weight, and who reported less perceived hunger at baseline were more likely to be successful at weight maintenance. Weight maintenance also was associated with increasing dietary restraint (conscious thoughts and purposeful behaviors to control calorie intake) and decreasing dietary disinhibition (the tendency to lose control over eating) over time. Discussion: This study raises concern about the feasibility and efficacy of weight gain prevention interventions because most women were interested in weight loss, rather than weight gain prevention, and the interventions had no effect on weight stability. Novel approaches to the prevention of weight gain are needed.     

Long‐Term Weight Development in Women: A 15‐Year Follow‐up of the Effects of Pregnancy

Objective: The aim of this study was to evaluate how well prepregnancy BMI, gestational weight gain, and postpartum weight retention predict retention of weight 15 years later among parous women. Research Methods and Procedures: The Stockholm Pregnancy and Women's Nutrition (SPAWN) study is a long‐term follow‐up study of women who delivered children in 1984 to 1985 (n = 2342). The participants initially filled out questionnaires about their eating and exercise habits, social circumstances, etc. before, during, and at 1 year after pregnancy. Anthropometric data were also sampled. Fifteen years later, these women were invited to take part in the follow‐up study. Anthropometric measurements were collected, and similar questions were asked. Five hundred sixty‐three women participated in the SPAWN 15‐year follow‐up study. The sample was divided into groups to examine three presumably critical time periods: 1) overweight and normal weight before pregnancy; 2) low, intermediate, and high weight gainers during pregnancy; and 3) low, intermediate, and high weight retainers at 1 year after pregnancy. Results: The overweight women did not gain more weight during pregnancy or retain more weight at 1 year follow‐up. High weight gainers during pregnancy retained more weight at the 1‐year and the 15‐year follow‐ups. High weight retainers had gained more during pregnancy and retained it at the 15‐year follow‐up. Fifty‐six percent of the high weight gainers during pregnancy ended up in the high weight retainers group. Discussion: Women who are overweight before pregnancy do not have a higher risk of postpartum weight retention than normal weight women. Thus, it is not necessarily the initially overweight woman who should be the target or focus of weight control programs during or after pregnancy. Both high weight gainers and high weight retainers had higher BMI at the 15‐year follow‐up, although only 56% of the high weight gainers during pregnancy were also classified as high weight retainers at the 1‐year follow‐up. Weight retention at the end of the postpartum year predicts future overweight 15 years later.     

Effect of an environmental school-based obesity prevention program on changes in body fat and body weight: a randomized trial

This study tested the efficacy of two school-based programs for prevention of body weight/fat gain in comparison to a control group, in all participants and in overweight children. The Louisiana (LA) Health study utilized a longitudinal, cluster randomized three-arm controlled design, with 28 months of follow-up. Children (N = 2,060; mean age = 10.5 years, SD = 1.2) from rural communities in grades 4-6 participated in the study. Seventeen school clusters (mean = 123 children/cluster) were randomly assigned to one of three prevention arms: (i) primary prevention (PP), an environmental modification (EM) program, (ii) primary + secondary prevention (PP+SP), the environmental program with an added classroom and internet education component, or (iii) control (C). Primary outcomes were changes in percent body fat and BMI z scores. Secondary outcomes were changes in behaviors related to energy balance. Comparisons of PP, PP+SP, and C on changes in body fat and BMI z scores found no differences. PP and PP+SP study arms were combined to create an EM arm. Relative to C, EM decreased body fat for boys (-1.7 ± 0.38% vs. -0.14 ± 0.69%) and attenuated fat gain for girls (2.9 ± 0.22% vs. 3.93 ± 0.37%), but standardized effect sizes were relatively small (<0.30). In conclusion, this school-based EM programs had modest beneficial effects on changes in percent body fat. Addition of a classroom/internet program to the environmental program did not enhance weight/fat gain prevention, but did impact physical activity and social support in overweight children.     

Does Dieting Lead to Weight Gain? A Four‐Year Longitudinal Study of Middle School Girls

Objective: A majority of the published longitudinal research on children has reported that dieting is related to weight gain at a later point in time. The purpose of this study was to look at weight control behaviors and patterns of weight gain and loss, specifically whether dieting is related to weight gain. Research Methods and Procedures: Baseline data were collected from 1358 female students in grades 6 to 9 from schools in Hayward, CA, and Tucson, AZ. Data were obtained annually over a 4‐year period. Paper‐and‐pencil questionnaires and height and weight were obtained during the students’ regular classroom periods. Dieting was measured both with the single item, “In the past year, how often have you been on a diet to lose weight?” scored from “never” to “always,” and with a Dieting Behavior Scale including five items on weight control behaviors. Changes in BMI z‐scores were analyzed. Results: On average, girls who reported “never” dieting were most likely to have an increased BMI z‐score at the next measurement, and those who reported “always” dieting were most likely to have a decreased BMI z‐score. The same pattern was true for the Dieting Behavior Scale. Discussion: Our finding that dieting and weight gain were not related, independently of initial BMI, does not mean that dieting to lose weight is appropriate, especially among young girls. Additional research is needed both to examine this relationship and to determine exactly what behaviors children are engaging in when they report that they are dieting.     

Beliefs about weight gain among young adults: potential challenges to prevention

This study assessed young adults' beliefs about weight gain with the goal of improving intervention efforts with this high-risk group. A total of 1,347 incoming freshman (45% male; 81% non-Hispanic white; 18.6 ± 1.7 years; BMI = 23.3 ± 2.3 kg/m2) at a large state university in the Northeast completed a survey designed to assess: (i) degree of concern about weight gain, (ii) level of interest in weight control programs, and (iii) the most acceptable setting for an intervention. Perceptions about freshman weight gain were consistent across gender, with men and women reporting that the average student gains 5.4 ± 1.9 kg and 5.6 ± 1.9 kg respectively. Men in general were less concerned about weight gain (P < 0.001) and reported they would have to gain 6.2 ± 4.2 kg before becoming concerned compared to 3.1 ± 1.7 kg among women (P < 0.001). Overweight (OW) men were more concerned about gaining weight than normal weight (NW) men (P < 0.001) and indicated they would have to gain less weight before becoming concerned (5.0 ± 3.0 kg vs. 6.7 ± 4.5 kg, P < 0.001). Fewer men reported they would join a program to prevent weight gain (17% men vs. 40% women, P < 0.001); the percentage of men willing to join a prevention program did not vary by weight status (P = 0.59). Both men and women were most likely to report a willingness to attend classes on a local college campus compared to other settings. Findings highlight the challenges of engaging young adults in weight gain prevention programs, particularly young men, and are discussed in terms of implications for improving recruitment efforts and intervention development with this population.     

Measurement of ad libitum food intake, physical activity, and sedentary time in response to overfeeding

Given the wide availability of highly palatable foods, overeating is common. Energy intake and metabolic responses to overfeeding may provide insights into weight gain prevention. We hypothesized a down-regulation in subsequent food intake and sedentary time, and up-regulation in non-exercise activity and core temperature in response to overfeeding in order to maintain body weight constant. In a monitored inpatient clinical research unit using a cross over study design, we investigated ad libitum energy intake (EI, using automated vending machines), core body temperature, and physical activity (using accelerometry) following a short term (3-day) weight maintaining (WM) vs overfeeding (OF) diet in healthy volunteers (n?=?21, BMI, mean ± SD, 33.2±8.6 kg/m(2), 73.6% male). During the ad libitum periods following the WM vs. OF diets, there was no significant difference in mean 3-d EI (4061±1084 vs. 3926±1284 kcal/day, p?=?0.41), and there were also no differences either in core body temperature (37.0±0.2°C vs. 37.1±0.2°C, p?=?0.75) or sedentary time (70.9±12.9 vs. 72.0±7.4%, p?=?0.88). However, during OF (but not WM), sedentary time was positively associated with weight gain (r?=?0.49, p?=?0.05, adjusted for age, sex, and initial weight). In conclusion, short term overfeeding did not result in a decrease in subsequent ad libitum food intake or overall change in sedentary time although in secondary analysis sedentary time was associated with weight gain during OF. Beyond possible changes in sedentary time, there is minimal attempt to restore energy balance during or following short term overfeeding. Trial registration: ClinicalTrials.gov NCT00342732.     

Intensity and duration of obesity-related counseling: association with 5-Year BMI trends among obese primary care patients

We examined 5-year trends in BMI among obese primary care patients to determine whether obesity-related education such as nutrition counseling or a weight management program was associated with declines in BMI. Veterans with BMI ≥30 kg/m(2) and ≥1 primary care visits in fiscal year 2002 were identified from the Veterans Health Administration's (VHA) national databases. Outpatient visits from fiscal year 2002-2006 for nutrition counseling, exercise, or weight management were grouped into five categories varying in intensity and duration: (i) intense-and-sustained, (ii) intense-only, (iii) irregular, (iv) limited, and (v) no counseling. Generalized estimating equation assessed associations between obesity-related counseling and BMI trend (annual rate of BMI change fiscal year 2002-2006) among cohort members with complete race/ethnic data (N = 179,881). Multinomial logistic regression compared intensity and duration of counseling among patients whose net BMI increased or decreased by ≥10% vs. remained stable. Compared with patients receiving "intense-and-sustained" counseling, the BMI trend of those receiving "intense-only" or "irregular" counseling was not significantly different, but patients receiving "no counseling" or "limited counseling" had significantly higher rates of decreasing BMI (-0.12 and -0.08 BMI per year; P < 0.01, respectively). This was especially true for veterans in their 50-60s, compared with the oldest veterans who were most likely to lose weight. In contrast, younger veterans (18-35 years) were least likely to lose weight; their BMI tended to increase regardless of counseling intensity and duration. Enhanced efforts are needed to detect and combat increasing weight trajectories among veterans who are already obese, especially among those aged 18-35 who are at greatest risk.     

Effect of the timing of weight cycling during adulthood on mortality risk in overweight and obese postmenopausal women

Inconsistent results exist for whether or not weight cycling (WgtC) and weight variability (WgtV) increase mortality risk. The aim of this study was to examine the effect of WgtC and WgtV during adulthood on mortality risk. Data was obtained from the Women's Health Initiative (WHI) observational study (OS) dataset, acquired from the National Heart, Lung and Blood Institute (N = 47,473 overweight and obese women; age 50–79 years). Women were categorized (stable; WgtV: weight‐gainer or loser; or WgtC) based on weight changes during early (18–35 years), mid (35–50 years), and late (50 years to current age) adulthood. Those with weight changes of <5% during all three time‐periods were classified as being stable‐weight. Weight‐gainers were those with at least one period of weight‐gain (≥5%) without a period of weight‐loss (≥5%), and weight‐losers were those with at least one period of loss without a period of gain during all time‐periods. Those who experienced both a period of weight‐gain and loss (≥5%) were categorized as WgtC. Compared to stable‐weight individuals, WgtC and WgtV across adulthood were not significantly associated with mortality risk when the age‐period of weight change was not considered. However, when considering the age period, increased mortality risk was observed for every 5 kg of weight‐gain during early (hazard ratio (HR) = 1.04 (1.00–1.07)) or mid‐adulthood (HR = 1.05 (1.02–1.08)), or for every 5 kg of weight‐loss since mid (HR = 1.12 (1.01–1.24)) or late‐adulthood (HR = 1.12 (1.04–1.20)). In conclusion, merely investigating WgtC and WgtV by weight changes across adulthood may not be sufficient to fully describe mortality risk, and the age at which the weight change occurred might be as important to consider.     

Physical activity and muscle function but not resting energy expenditure impact on weight gain

Understanding whether metabolic factors are predictive of weight gain is important for developing strategies for prevention of weight gain. Recent research has shown that sleeping and resting energy expenditure are not predictive of weight gain. However, exercise endurance, muscular strength, (31)P MRS muscle metabolic economy, and maximum oxygen uptake are independently related to weight gain. Activity-related energy expenditure and the time spent in physical activity are also related to weight gain, with low physical activity explaining approximately 77% of weight gain at 1 year. In addition, weight maintainers spend 80 minutes per day, whereas weight gainers spend less than 20 minutes per day in physical activity equivalent to an intensity of about 4 METS. It is proposed that strength, aerobic fitness, and physical activity are important factors for reducing the rate of weight gain. Although further research is required, these results are suggestive that weight maintenance programs will be more successful if some relatively high-intensity training is included to complement large amounts of low to moderate intense physical activity.     

Gender differences in predictors of body weight and body weight change in healthy adults

Background: Overweight and obesity are important predictors of a wide variety of health problems. Analysis of naturally occurring changes in body weight can provide valuable insights in improving our understanding of the influence of demographic, lifestyle, and psychosocial factors on weight gain in middle‐age adults. Objective: To identify gender‐specific predictors of body weight using cross‐sectional and longitudinal analyses. Methods and Procedures: Anthropometric, lifestyle and psychosocial factors were measured at baseline and then quarterly for 1 year in 572 healthy adult volunteers from Central Massachusetts who were recruited between 1994 and 1998. Linear mixed models were used to analyze the relationship between body weight and potential predictors, including demographic (e.g., age, educational level), lifestyle (e.g., diet, physical activity, smoking), and psychosocial (e.g., anxiety, depression) factors. Results: Over the 1‐year study period, on average, men gained 0.3 kg and women lost 0.2 kg. Predictors of lower body weight at baseline in both men and women included current cigarette smoking, greater leisure‐time physical activity, and lower depression and anxiety scores. Lower body weights were associated with a lower percentage of caloric intake from protein and greater occupational physical activity levels only among men; and with higher education level only among women. Longitudinal predictors of 1‐year weight gain among women included increased total caloric intake and decreased leisure‐time physical activity, and among men, greater anxiety scores. Discussion: Demographic, lifestyle and psychosocial factors are independently related to naturally occurring changes in body weight and have marked differential gender effects. These effects should be taken into consideration when designing interventions for weight‐loss and maintenance at the individual and population levels.     

Who Are the Weight Maintainors?

To characterize people who maintain weight over long periods of time, normal weight and obese adults (n=385) were studied over five annual visits. Subjects were classified using a ± 5 lb change between the first and the fifth year visits to determine overall maintenance (M), with gain (G) or loss (L) being any change outside this range. This MGL status was cross-tabulated with a Fluctuation Index which counted the number of successive year-to-year weight changes of more than ± 5 lbs (F0 through F4). True maintainers were defined as those having all weight changes within ± 5 lbs during the 5-year period (M and F0). Nineteen percent (n=73) of the subjects were classified as True Maintainers and included three times as many normal weight as obese subjects. Obese subjects comprised only 25% of the True Maintainer group but 60% of the Non-Maintainer group. Age had no association with Maintainer status. Standard measures of weight variability were lowest among True Maintainers and highest in Non-Maintainers. In addition, True Maintainers had lower BMI, Percent Body Fat, and Waist-Hip Ratios than Non-Maintainers. Subjects classified as Non-Maintainers were more likely to engage in dieting, by a variety of measures, than True Maintainers—this was particularly true among obese subjects. Finally, changes in total cholesterol, LDL and HDL cholesterol, and systolic and diastolic blood pressure were not reliably associated with Maintainer status, although the ordering of the group means suggested that True Maintainers had slightly healthier levels of “risk” variables. Overall, the results suggest that True Maintainers comprise a potentially important and interesting group of individuals who need further study.     

Adolescent suicidal behavior across the excess weight status spectrum

Objective:

Relative suicidal behavioral risks (ideation, attempts) for overweight, obese, and extremely obese adolescents (vs. healthy weight) and who did/did not accurately perceive themselves as overweight were examined in this study.

Design and Methods:

A new variable (weight status/accuracy) was computed that combined actual weight status (based on BMI) with weight perception accuracy. To evaluate the effect of weight status/accuracy on each suicidal risk behavior, logistic regression was performed to calculate odds‐ratios and 95% confidence intervals (CI). Potential model covariates included gender, age, race, survey year, and whether they had felt sad/hopeless.

Results:

Weight perception accuracy increased as the degree of excess weight increased. Relative to healthy weight, being obese or extremely obese (but not overweight) was associated with significantly greater risk for adolescent engagement in suicidal ideation, but was unrelated to suicide attempts. Adolescents in all excess weight categories who were accurate in their weight perception were at significantly greater odds of suicidal ideation, whereas those who were inaccurate were of no greater odds of suicidal ideation than healthy weight youth who accurately perceived their weight. Findings regarding suicide attempts varied based on actual weight/weight perception accuracy and race/ethnicity.

Conclusion:

The present findings are both important and clinically relevant. While widely accepted that there are multiple pathways to suicide, our understanding of adolescent suicidal behavior risks and accordingly, prevention efforts, will be informed by comprehensive prospective studies that should also, from here forward, consider categorization of the entire weight spectrum (e.g., extreme obesity).     

Hospital care for the elderly in the final year of life: a population based study.

OBJECTIVES--To determine whether among people aged 65 and over those who died at advanced old age spent more of their last year of life in hospital than those who died younger, and whether the increase in longevity in the elderly between 1976 and 1985 was accompanied by increased time spent in hospital in the last year of life. DESIGN--Linkage of death records to abstracts of records of hospital inpatient care in the preceding year of patients'' lives. SETTING--Six health districts in England covered by the Oxford record linkage study. RESULTS--People who died at advanced ages (85 and over) were less likely than people who died at younger ages (65-84) to have been admitted to hospital in the last year of life. Once admitted the very old tended to spend longer in hospital than others. The mean total time spent in hospital by the elderly in the year before death (based on all deaths including those among people not admitted at all) showed no appreciable change over time. The median time in hospital based on all deaths increased by about three days between 1976 and 1985. During that time there was a gain in life expectancy in the population of about one year from the age of 65. CONCLUSION--The gain in life expectancy in this population was not at the expense of any substantial increase in time spent in hospital in the final year of life.     

AN ASSESSMENT OF CHANGES WITH TIME IN THE MARKING PATTERNS USED FOR PHOTOIDENTIFICATION OF INDIVIDUAL SPERM WHALES, PHYSETER MACROCEPHALUS

We observed changes with time in the patterns of characteristic fluke markings used to identify sperm whales. Changes were categorized as minor, moderate, or major based on their severity. These change types were found to occur at rates of 0.9%, 11.8%, and 1.3% per individual per year, respectively. Gain and loss rates for each of seven different mark types were also calculated. The highest estimated rate was the gain of small nicks at 0.08 per individual per year. Most individuals identified by us possess at least a few characteristic marks and, therefore, changes of the type observed in this study are unlikely to severely affect their recognizability. For all but one mark type, gain rates were higher than loss rates, indicating that individuals may be accumulating marks with age. Over long periods this could eventually make individuals unrecognizable, with the result that population sizes calculated from these data may be overestimated. As long as photoidentification studies are conducted sufficiently often, and these changes are as gradual as they appear to be, this problem should be minimal.     

Sedentary behavior, recreational physical activity, and 7-year weight gain among postmenopausal U.S. women

Objective: To assess the relationship among recreational physical activity (PA), non‐occupational sedentary behavior, and 7‐year weight gain among postmenopausal U.S. women 40 to 69 years old. Research Methods and Procedures: In 1992 and 1999, 18,583 healthy female participants from the Cancer Prevention Study II Nutrition Cohort completed questionnaires on anthropometric characteristics and lifestyle factors. The associations between recreational PA [in metabolic equivalent (MET) hours per week] and non‐occupational sedentary behavior (in hours per day) at baseline and risk for 7‐year weight gain (5 to 9 or ≥10 vs. ±4 pounds) were assessed using multivariate logistic regression analysis. Results: Neither PA nor sedentary behavior was associated with a 5‐ to 9‐pound weight gain. Among women who were not overweight at baseline (BMI <25.0), the odds of ≥10‐pound weight gain were 12% lower (odds ratio, 0.88; 95% confidence interval, 0.77 to 0.99) for those in the highest category of recreational PA (≥18 MET h/wk) compared with >0 to <4 MET h/wk; odds were 47% higher (odds ratio, 1.47; 95% confidence interval, 1.21 to 1.79) for non‐overweight women who reported ≥6 h/d of non‐occupational sedentary behavior compared with <3 h/d. Neither PA nor sedentary behavior were associated with risk of ≥10‐pound weight gain weight among women who were overweight at baseline (BMI ≥25.0). Discussion: Both recreational PA and non‐occupational sedentary behavior independently predicted risk of ≥10‐pound weight gain among postmenopausal women who were not overweight at baseline. Public health messages to prevent weight gain among normal‐weight postmenopausal women may need to focus on decreasing time spent in sedentary behaviors and increasing the amount of time spent on PA.     

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.     

Attitudes Toward Weight Gain in Pregnancy

Recently, there has been increased interest in the influence of maternal prenatal nutrition on the course and outcome of pregnancy. Evidence has accumulated that a woman''s weight before pregnancy and the weight gained during pregnancy directly affect infant birth weight, incidence of neonatal mortality, and growth and development of the infant during the first year of life. Although recent recommendations for weight gain in pregnancy have been liberalized, a survey of 195 pregnant women who had prenatal visits in both clinic and private offices showed deficiencies in their understanding of the subject. Some 37 percent of women believed they should gain 20 pounds (9 kg) or less during pregnancy. Eight percent admitted to dieting before at least one antenatal visit and 54 percent thought their doctor would not be concerned about too little weight gained during pregnancy. This suggests that many women and some doctors are still ignorant of current concepts of proper nutrition during pregnancy. Apparently, increased lay and professional educational efforts are needed.     

Does Excess Pregnancy Weight Gain Constitute a Major Risk for Increasing Long‐term BMI?

Objective: The objective was to assess the relevance of the recommendations of the Institute of Medicine (IOM), regarding gestational weight gain (GWG) for long‐term BMI development. Research Methods and Procedures: The Stockholm Pregnancy and Women's Nutrition is a follow‐up study of 483 women who delivered children in 1984 to 1985. ANOVA was used to examine the change in body weight before pregnancy, at 6 months, and 1 year postpartum and 15 years after childbirth. Multiple linear regression was used to assess the predictors of BMI at 15‐year follow‐up. Results: The weight increase from baseline to 15‐year follow‐up was 6.2 kg for IOM‐insufficient, 6.7 kg for IOM‐recommended, and 10.0 kg for IOM‐excessive weight gain (p < 0.01). ANOVA showed a main effect of time, group and group by time interaction. The weight of the women who had excessive GWG was significantly greater at each time‐point of follow‐up than the weight of those who gained within or below recommendations. GWG was related to BMI at 15‐year follow‐up even after accounting for several confounders. Women who gained excessive weight during pregnancy had an increase of 0.72 kg/m² in long‐term BMI compared with women who gained within recommendations. Discussion: The findings support the adequateness of IOM guidelines, not only for the pregnancy‐related health matters, but also for preventing long‐term weight retention after delivery. Healthcare providers should give women appropriate advice for controlling GWG and motivate them to lose pregnancy‐related weight during postpartum to prevent future overweight.     

Disparities in counseling for lifestyle modification among obese adults: insights from the Dallas Heart Study

Clinician counseling is a catalyst for lifestyle modification in obesity. Unfortunately, clinicians do not appropriately counsel all obese patients about lifestyle modification. The extent of disparities in clinician counseling is not well understood. Obese participants (BMI ≥30 kg/m², N = 2097) in the Dallas Heart Study (DHS), a probability‐based sample of Dallas County residents ages 18–65, were surveyed regarding health‐care utilization and lifestyle counseling over the year prior to DHS enrollment. Health‐care utilization and counseling were compared between obese participants across three categories based on the presence of 0, 1, or 2+ of the following cardiovascular (CV) risk factors: hypertension, hypercholesterolemia, or diabetes. Logistic regression modeling was used to determine likelihood of counseling in those with 0 vs. 1+ CV risk factors, stratified by race, adjusting for age, sex, insurance status, and education. Among obese subjects who sought medical care, those with 0 CV risk factors, compared to those with 1 or 2+ CV risk factors, were less likely to report counseling about losing weight (41% vs. 67% vs. 87%, P trend <0.001), dietary changes (44% vs. 71% vs. 85%, P trend <0.001), and physical activity (46% vs. 71% vs. 86%, P trend <0.001). Blacks and Hispanics without CV risk factors had a lower odds of receiving counseling than whites without risk factors on weight loss (adjusted odds ratio (OR), 95% confidence interval (CI) for nonwhites 0.19, [0.13–0.28], whites 0.48, [0.26–0.87]); dietary changes (nonwhites 0.19, [0.13–0.27], whites 0.37, [0.21–0.64]); and physical activity (nonwhites 0.22, [0.16–0.32], whites 0.32, [0.18–0.57]). Lifestyle counseling rates by clinicians are suboptimal among obese patients without CV risk factors, especially blacks and Hispanics. Systematic education about and application of lifestyle interventions could capitalize on opportunities for primary CV risk prevention.     

Allocating HIV prevention funds in the United States: recommendations from an optimization model

The Centers for Disease Control and Prevention (CDC) had an annual budget of approximately $327 million to fund health departments and community-based organizations for core HIV testing and prevention programs domestically between 2001 and 2006. Annual HIV incidence has been relatively stable since the year 2000 and was estimated at 48,600 cases in 2006 and 48,100 in 2009. Using estimates on HIV incidence, prevalence, prevention program costs and benefits, and current spending, we created an HIV resource allocation model that can generate a mathematically optimal allocation of the Division of HIV/AIDS Prevention's extramural budget for HIV testing, and counseling and education programs. The model's data inputs and methods were reviewed by subject matter experts internal and external to the CDC via an extensive validation process. The model projects the HIV epidemic for the United States under different allocation strategies under a fixed budget. Our objective is to support national HIV prevention planning efforts and inform the decision-making process for HIV resource allocation. Model results can be summarized into three main recommendations. First, more funds should be allocated to testing and these should further target men who have sex with men and injecting drug users. Second, counseling and education interventions ought to provide a greater focus on HIV positive persons who are aware of their status. And lastly, interventions should target those at high risk for transmitting or acquiring HIV, rather than lower-risk members of the general population. The main conclusions of the HIV resource allocation model have played a role in the introduction of new programs and provide valuable guidance to target resources and improve the impact of HIV prevention efforts in the United States.