Urinary triclosan concentrations are inversely associated with body mass index and waist circumference in the US general population: Experience in NHANES 2003–2010

BackgroundHumans are extensively exposed to triclosan, an antibacterial and antifungal agent. Triclosan's effects on human health, however, have not been carefully investigated.ObjectiveTo examine whether triclosan exposure is associated with obesity traits.MethodsThis study included 2898 children (6–19 years old) and 5066 adults (20 years or older) who participated in the National Health and Nutrition Examination Surveys (NHANES) 2003–2010 and had a detectable level of urinary triclosan. Multiple linear regression models were used to examine the association between urinary triclosan and both body mass index (BMI) and waist circumference.ResultsEach standard deviation increase in urinary triclosan was associated with a 0.34 (95% confidence interval, CI: 0.05, 0.64) kg/m² lower level of BMI (P = 0.02) and 0.92 (95% CI: 0.09, 1.74) cm smaller waist circumference (P = 0.03) in boys, and a 0.62 (95% CI: 0.31, 0.94) kg/m² lower level of BMI (P = 0.0002) and 1.32 (95% CI: 0.54, 2.09) cm smaller waist circumference in girls (P = 0.001); a 0.42 (95% CI: 0.06, 0.77) kg/m² lower level of BMI (P = 0.02) and 1.35 (95% CI: 0.48, 2.22) cm smaller waist circumference (P = 0.003) in men, and a 0.71 (95% CI: 0.34, 1.07) kg/m² lower level of BMI (P = 0.0002) and 1.68 (95% CI: 0.86, 2.50) cm smaller waist circumference (P = 0.0001) in women. In both children and adults, there was a consistent trend for lower levels of BMI and smaller waist circumference with increasing levels of urinary triclosan, from the lowest to the highest quartile of urinary triclosan (P ≤ 0.001 in all cases).ConclusionTriclosan exposure is inversely associated with BMI and waist circumference. The biological mechanisms linking triclosan exposure to obesity await further investigation.     

Energy and fat intake are not associated with abdominal adiposity

Background and objectiveCentral or abdominal obesity (AA) is a highly prevalent determinant of the metabolic syndrome and its control requires intervention strategies. This study investigated the risk factors associated with the presence of AA in hospitalized individuals.Patients and methodsA total of 1626 patients were studied. The investigated risk factors possibly associated with AA were gender, age, body mass index (BMI), habitual energy intake (HEI) and fat intake (FI). AA was determined by waist circumference (WC) and waist-to-hip ratio (WHR). The chi², Mann-Whitney and Kruskal-Wallis tests were used to compare the data and univariate and multiple logistic regressions were used to identify the predictive factors of AA.ResultsWomen were at higher risk of developing AA than men (P < 0.0001). The HEI and FI of individuals with and without AA and of women and men were not significantly different. According to multivariate analysis, HEI was not a predictive factor of AA, contrary to gender and age. The risk factors for AA, determined by WC, were gender (OR = 6.8; CI = 5.3–8.7) and age (OR = 1.0; CI = 1.0–1.0). Women were six times more likely to develop AA than men.ConclusionsEvidence of an association between AA and HEI or FI was not found, but gender and age were associated with AA.     

Night eating behavior and metabolic heath in mothers and fathers enrolled in the QUALITY cohort study

BackgroundDesynchrony between eating and sleeping patterns and poor sleep quality have been associated with obesity and metabolic abnormalities. This study examined the metabolic health correlates of night eating syndrome in adults enrolled in the QUALITY cohort study.MethodsNight eating symptoms were assessed in 310 women (mean age = 40.3 ± 5.1 years, mean BMI = 28.8 ± 6.2 kg/m²) and 305 men (mean age = 42.5 ± 5.9 years, mean BMI = 30.3 ± 5.0 kg/m²). Anthropometric measures, fasting blood samples and blood pressure were used to diagnose metabolic syndrome (MetS) and type 2 diabetes (T2D) diagnosis was self-report. Correlational and case/control comparisons assessed night eating symptoms in persons with and without MetS and T2D.ResultsNight eating questionnaire (NEQ) scores were positively correlated with BMI. When controlling for BMI, NEQ scores were significantly negatively correlated with blood pressure in women and positively correlated with waist circumference and triglycerides in men. MetS diagnosis was associated with morning anorexia in both women and men and urges to eat at night in women only. T2D was associated with a depressed mood in women and with insomnia in men.ConclusionSymptoms of night eating syndrome are associated with higher BMI and poor metabolic health. Future research is needed to determine if night eating syndrome per se is a unique causal pathway in the development of obesity and metabolic disease.     

Joint association of body mass index and central obesity with cardiovascular events and all-cause mortality in prediabetic population: A prospective cohort study

ObjectiveTo assess the joint association of body mass index (BMI) and central obesity with cardiovascular events and all-cause mortality in prediabetic population.MethodsAltogether 18,703 participants with prediabetes completed follow-up between June 2006 and December 2015 were included in the analyses. Prediabetes was defined as fasting plasma glucose level 5.6–6.9 mmol/L, and without history of diabetes or currently use of hypoglycemic agents. Participants were classified according to the baseline status of BMI as well as the absence/presence of central obesity. We examined these associations in men and women separately.ResultsThe mean age was 51.5 ± 11.1 years, and 85.6% (N = 16,002) were male. During a median follow up of 9.0 (interquartile range 8.7–9.2) years, 848 and 88 major CV events occurred in men and women, respectively. Besides, 1111 men and 89 women died. Compared with men of BMI 22–23.9 kg/m² and without central obesity, the risk of CV events was increased among men with higher BMI and central obesity (HR 1.32 (95% CI: 1.05–1.67) for BMI 24–27.9 kg/m² and 1.31 (1.03–1.66) for BMI ≥ 28 kg/m², respectively); and the risk of all-cause mortality was the lowest among men of BMI 24–27.9 kg/m² but without central obesity (0.75, 0.61–0.92). We found no such association in women.ConclusionAmong men with prediabetes, both BMI and waist circumference should be included when evaluating the risks of major CV events and mortality. Measurement of adiposity constitutes a simple and cost-effective strategy to identify those at high-risk population in prediabetes.     

Incidence and potential risk factors of obesity among Tehranian adults

AimEvaluating the incidence of obesity and its risk factors among Tehranian adults.Material & methodsIn this population-based cohort, non-obese participants, aged ≥ 20 years, were followed for development of obesity (Body Mass Index (BMI) ≥ 30). Incidence density and cumulative incidence rates of obesity were calculated for each sex. Cox proportional hazard regression was used to determine the association of potential obesity risk factors including: age, BMI, metabolic syndrome, waist circumference (WC), smoking, marital status, education, and physical activity.ResultA total of 7257 participants (3536 men) were followed for a median of 8 years. At baseline, mean age, BMI and WC were 41.3 ± 14.6 years, 25.1 ± 2.9 kg/m² (24.9 ± 3 kg/m² men and 25.2 ± 3 kg/m² women), and 84.8 ± 9.8 cm (87.06 ± 9.2 cm men and 82.6 ± 9.9 cm women) respectively. During the follow-up, 1345 participants (876 women) developed obesity contributing to cumulative incidences of 31.3% (CI: 29.9%–32.7%), 38.1% (CI: 36.2%–40.1%), and 23.4% (CI: 21.6%–25.3%) for the whole population, women, and men, respectively. Corresponding incidence density rates per 1000 person-year were 25.9 (CI: 24.5–27.3), 33.67 (CI: 31.5–36.0), and 18.0 (CI: 16.5–19.7), respectively. Highest incidence rates were observed during their 40s and 20s for women and men, respectively. Participants with metabolic syndrome, lower educational level, higher BMI and WC, were at higher risk of obesity development in both sexes.ConclusionHigh incidence of obesity was observed among Tehranian adults with higher incidence of obesity in women. Different modifiable variables may act as risk factors for obesity development which should be targeted to control the epidemic of obesity.     

Change in general and central adiposity measures in prediction of incident dysglycemia; Tehran Lipid and Glucose Study

ObjectivesTo examine the change in general and central adiposity measures as a predictor of incident dysglycemia during a 6-year follow-up.SubjectsA total of 4029 (2333 women and 1696 men) non-dysglycemic Iranians aged ≥ 20 years, underwent standard fasting and 2-h post-challenge plasma glucose tests at baseline and follow-up.ResultsDuring follow-up, 458 new cases of dysglycemia occurred. In multivariable models including baseline values of each anthropometric measure, odds ratios (ORs) for dysglycemia incidence corresponding to a 1-SD increase in changes of body mass index (BMI), waist circumference (WC), waist-to-hip ratio (WHR), waist-to-height ratio (WHtR) and hip circumference (HC), were 1.32, 1.56, 1.39, 1.51 and 1.39 for men and 1.59, 1.50, 1.37, 1.47, and 1.38, for women, respectively (all P < 0.05). After controlling for weight change and WC change among men and women, respectively, HC change did not remain as a predictor. Using the paired homogeneity test, there was no superiority for changes in central obesity measures compared to changes in BMI to predict dysglycemia.ConclusionThe association between HC changes and incident dysglycemia was dependent upon changes in central and general adiposity measures, where the former did not have higher predictability than the latter in prediction of dysglycemia.     

Accelerometer determined sedentary behavior and dietary quality among US adults

ObjectiveScant evidence exists pertaining to objectively measured sedentary time and dietary quality among adults. Therefore, we examined the relationships between sedentary time, physical activity, and dietary quality.MethodsCross-sectional analyses of a 4,910 US adults from two cycles (2003–2006) of the National Health and Nutrition Examination Survey. The primary independent variables were sedentary time and physical activity (continuous and categorical), while the outcomes were overall dietary quality (Healthy Eating Index (HEI) 2010), fruit and vegetable scores, and empty caloric intake (kcal).ResultsMultivariable analyses revealed that a 1 min increase in daily sedentary behavior was associated with a 0.2 kcal decrease in empty calories (− 0.18, 95% CI = − 0.34, − 0.03); however, sedentary time was not significantly related to overall dietary quality (HEI) and fruit and vegetable intake. In comparison, a 1 min increase in daily moderate-to-vigorous intensity physical activity was related to a 0.1 higher HEI score (0.08, 95% CI = 0.04, 0.11), a 0.01 higher fruit score (0.01, 95% CI = 0.01, 0.02), and conversely a 1.3 kcal decrease in empty calories (− 1.35, 95% CI = − 2.01, − 0.69). In addition, meeting physical activity guidelines was associated with a 2.8 point higher HEI score (2.82, 95% CI = 1.40, 4.25), a 0.5 point higher fruit score (0.51, 95% CI = 0.31–0.71), and 37.4 fewer empty calories (− 37.43, 95% CI = − 64.86, − 9.10).ConclusionsPhysical activity is significantly related to better overall dietary quality, while sedentary behavior is not. Findings suggest the need to promote physical activity and encourage adherence to dietary guidelines jointly, whereas sedentary behavior and overall dietary quality might need to be targeted independently.     

Menopause and metabolic syndrome in obese individuals with binge eating disorder

Menopausal transition has been associated with the emergence of metabolic abnormalities, which may increase risk for chronic medical conditions in women. This study compared metabolic function between premenopausal women (n = 152), postmenopausal women (n = 88), and men (n = 98) recruited for treatment studies for obesity co-occurring with binge eating disorder (BED), a high-risk population for developing metabolic syndrome (MetS). Postmenopausal women were more likely than premenopausal women to show elevated total cholesterol (OR = 2.75; 95% CI = 1.56–4.80) and poor glycemic control (OR = 2.92; 95% CI = 1.32–6.33) but were more likely to have lower HDL levels (OR = 0.36; 95% CI = 0.19–0.68). These became non-significant after adjusting for age. Both pre- and postmenopausal women were less likely than age-matched men to show elevated levels of triglycerides (OR = 0.27; 95% CI = 0.13–0.53 [postmenopausal], OR = 0.29; 95% CI = 0.16–0.53 [premenopausal]), blood pressure (OR = 0.48; 95% CI = 0.25–0.91 [postmenopausal], OR = 0.40; 95% CI = 0.23–0.69 [premenopausal]), and less likely to have MetS (OR = 0.41; 95% CI = 0.21–0.78 [postmenopausal], OR = 0.46; 95% CI = 0.27–0.79 [premenopausal]). Premenopausal women were also less likely to have elevated fasting glucose level (OR = 0.50; 95% CI = 0.26–0.97) than age-matched men. Among obese women with BED, aging may have a more profound impact on metabolic abnormalities than menopause, suggesting the importance of early intervention of obesity and symptoms of BED. The active monitoring of metabolic function in obese men with BED may also be critical.     

The effects of objectively measured sedentary behavior on all-cause mortality in a national sample of adults with diabetes

BackgroundDiabetes is a highly prevalent chronic disease that has been increasing globally and is the seventh leading cause of death in the United States. Sedentary behavior is associated with increased risk of diabetes and is unfavorably related to all-cause mortality, but there are limited studies examining the sedentary–mortality relationship among those with diabetes, which was the purpose of this study.MethodsUsing data from the 2003–2006 NHANES, 712 adult participants with evidence of diabetes had complete data on the study variables. A multivariable Cox proportional hazard model was used to examine the association between objectively measured sedentary behavior and all-cause mortality among this diabetic sample.ResultsResults showed that for every 60 min/day increase in sedentary behavior, independent of moderate-to-vigorous physical activity (MVPA) and other covariates, adults with diabetes had a 13% increased risk of all-cause mortality (HR_adjusted = 1.13; 95% CI = 1.03–1.24; P = 0.01). However, after adjusting for total physical activity (light and MVPA), sedentary behavior was no longer associated with mortality risk (HR_adjusted = 1.04; 95% CI = 0.92–1.16; P = 0.46).ConclusionAmong those with diabetes, sedentary behavior may not have increased mortality risk independent of total physical activity behavior.     

Change in general and central adiposity measures in prediction of incident dysglycemia; Tehran Lipid and Glucose Study

ObjectivesTo examine the change in general and central adiposity measures as a predictor of incident dysglycemia during a 6-year follow-up.SubjectsA total of 4029 (2333 women and 1696 men) non-dysglycemic Iranians aged ≥ 20 years, underwent standard fasting and 2-h post-challenge plasma glucose tests at baseline and follow-up.ResultsDuring follow-up, 458 new cases of dysglycemia occurred. In multivariable models including baseline values of each anthropometric measure, odds ratios (ORs) for dysglycemia incidence corresponding to a 1-SD increase in changes of body mass index (BMI), waist circumference (WC), waist-to-hip ratio (WHR), waist-to-height ratio (WHtR) and hip circumference (HC), were 1.32, 1.56, 1.39, 1.51 and 1.39 for men and 1.59, 1.50, 1.37, 1.47, and 1.38, for women, respectively (all P < 0.05). After controlling for weight change and WC change among men and women, respectively, HC change did not remain as a predictor. Using the paired homogeneity test, there was no superiority for changes in central obesity measures compared to changes in BMI to predict dysglycemia.ConclusionThe association between HC changes and incident dysglycemia was dependent upon changes in central and general adiposity measures, where the former did not have higher predictability than the latter in prediction of dysglycemia.     

Waist circumference,body mass index and waist-height ratio: Are two indices better than one for identifying hypertension risk in older adults?

ObjectiveTo investigate if the combination of Waist Circumference (WC) and Body Mass Index (BMI) or Waist to Height Ratio (WHtR) and BMI measures is superior to the separate indicators in identifying hypertension risk in older adults from southern Brazil.MethodThis cross-sectional study analyzed data from the second wave (2013/14) of a population- and household-based survey carried out with 1197 older adults (778 women). Hypertension (i.e., outcome) was identified by self-report. The independent variables were body mass index (BMI ≥ 27 kg/m²), waist circumference (WC ≥ 88 cm for women and WC ≥ 102 cm for men), waist/height ratio (WHtR ≥ 0.5), and the combined indexes BMI + WC (BMI ≥ 27 kg/m² + WC ≥ 88 cm for women and WC ≥ 102 cm for men) and BMI + WHtR (BMI ≥ 27 kg/m² + WHtR ≥ 0.5). The associations were explored using binary logistic regression.ResultsThe results showed sex differences in all study characteristics. In women, all indicators were associated with the outcome, after adjustments (age, race/color, marital status, schooling, smoking, alcohol consumption, physical activity, and diabetes). WHtR was the indicator most strongly associated with hypertension (OR = 2.97; 95% CI 1.58 to 5.59). For men, only BMI and the combined indicators were associated with hypertension. Combined measures of BMI + WHtR showed a stronger association with the outcome (OR = 2.68; IC95% 1.62 to 4.44).ConclusionThe associated indicators differed between the sexes. The combination of BMI + WC and BMI + WHtR using current cut-off points may provide an improved measure of hypertension risk.     

Adverse associations of car time with markers of cardio-metabolic risk

ObjectiveTo examine associations of time spent sitting in cars with markers of cardio-metabolic risk in Australian adults.MethodData were from 2800 participants (age range: 34–65) in the 2011–12 Australian Diabetes, Obesity and Lifestyle Study. Self-reported time spent in cars was categorized into four groups: ≤ 15 min/day; > 15 to ≤ 30 min/day; > 30 to ≤ 60 min/day; and > 60 min/day. Markers of cardio-metabolic risk were body mass index (BMI), waist circumference, systolic and diastolic blood pressure, triglycerides, HDL (high-density lipoprotein)-cholesterol, fasting plasma glucose, 2-h plasma glucose, a clustered cardio-metabolic risk score, and having the metabolic syndrome or not. Multilevel linear and logistic regression analyses examined associations of car time with each cardio-metabolic risk outcome, adjusting for socio-demographic and behavioral variables and medication use for blood pressure and cholesterol/triglycerides.ResultsCompared to spending 15 min/day or less in cars, spending more than 1 h/day in cars was significantly associated with higher BMI, waist circumference, fasting plasma glucose, and clustered cardio-metabolic risk, after adjusting for socio-demographic attributes and potentially relevant behaviors including leisure-time physical activity and dietary intake. Gender interactions showed car time to be associated with higher BMI in men only.ConclusionsProlonged time spent sitting in cars, in particular over 1 h/day, was associated with higher total and central adiposity and a more-adverse cardio-metabolic risk profile. Further studies, ideally using objective measures of sitting time in cars and prospective designs, are needed to confirm the impact of car use on cardio-metabolic disease risk.     

Association of self-perceived body image with body mass index and type 2 diabetes—The ADDITION-PRO study

ObjectiveWeight loss is important for prevention of type 2 diabetes and an accurate self-perceived body image can promote weight reduction. We evaluated the association of self-perceived body image with body mass index (BMI) and type 2 diabetes.MethodsData from the Danish ADDITION-PRO cohort study (2009–2011) were used. A total of 2082 men and women attended a health examination including assessment of BMI, waist circumference, the Stunkard scale of self-perceived obesity and an oral glucose tolerance test for assessment of diabetes risk.ResultsMean (SD) age was 66.2 (6.9) years and 24% were obese (BMI ≥ 30 kg/m²). However, only 7% of obese men and 11% of obese women perceived themselves as obese. Among obese women, for a given level of BMI and waist circumference, one unit higher self-perceived body image was associated with 52% (95% CI: 14–73) lower risk of having type 2 diabetes and 45% (95% CI: 12–65) lower risk of having pre-diabetes. Overweight, but not obese, men had a 35% (95% CI: 36–56) lower risk of type 2 diabetes per unit increase in body image.ConclusionsObese individuals seem to underestimate their body shape. However, having a realistic body image (higher self-perceived obesity) is independently associated with lower diabetes risk. Self-perceived body image might serve as a valuable tool for type 2 diabetes risk assessment.     

Obesity misclassification and the metabolic syndrome in adults with functional mobility impairments: Nutrition Examination Survey 2003–2006

ObjectivesThe purpose of this study was to estimate the degree of obesity misclassification between body mass index (BMI) and body fat percentage in adults with functional mobility impairment, and to determine cardiometabolic risk profiles.MethodsData from the combined 2003–2006 National Health and Nutrition Examination Survey (NHANES) were incorporated. The representative sample included 852 individuals, aged 20–85 years, reporting at least one major physical limitation related to mobility or lower body function, and 4724 individuals reporting no impairments. Body mass index, percent body fat (%BF) as determined by dual energy X-ray absorptiometry (DXA), objectively measured sedentary behavior and activity, and markers of cardiometabolic risk were compared between adults with and without functional mobility impairments. Among functional mobility impaired individuals, sensitivity, specificity, and receiver operating characteristic curves were used to evaluate the performance of BMI as a continuous variable, as well as various BMI thresholds to detect obesity defined by sex-specific %BF cutoffs.ResultsAdults with functional mobility impairments were older, had larger waist circumferences (WC), had greater prevalence of obesity according to BMI and %BF, were more sedentary, had less physical activity, and had higher overall cardiometabolic risk. The standard BMI cutoff for obesity had excellent specificity in both men (100%) and women (98.4%) with functional mobility impairment, but sensitivity was poor (< 55%). Whereas approximately 36% and 43% of impaired men and women fell into the obese BMI category, over 80% of men and women were obese according to %BF. Individuals with high %BF who were misclassified as not obese, according to BMI, had a significantly higher prevalence of the metabolic syndrome (17.6%) compared to subjects with normal BMI and low %BF (2.1%).ConclusionsObesity misclassification and cardiometabolic risk are prevalent among individuals with functional mobility impairments, and thus diagnostic screening for obesity should be modified to account for %BF and/or waist circumference. Behavioral interventions to decrease sedentary behavior, increase activity, and reduce abdominal obesity are warranted.     

A systematic review and meta-analysis on the effects of yoga on weight-related outcomes

IntroductionOverweight and obesity are among the most important modifiable risk factors for chronic diseases and premature death. The aim of this review was to systematically assess and analyze the effects of yoga on weight-related outcomes.MethodsMedline/PubMed, Scopus, and the Cochrane Library were screened through March 2015 for randomized controlled trials on yoga for weight-related outcomes in the general population or overweight/obese individuals. Risk of bias was assessed using the Cochrane risk of bias tool on the following domains: selection bias, performance bias, detection bias, attrition bias, reporting bias, and other bias.ResultsOut of 445 records identified during literature search, 30 trials with a total of 2173 participants were included. No effects on weight, body mass index, body fat percentage or waist circumference were found. In studies with healthy adult participants an effect of yoga compared to usual care was found regarding waist/hip ratio (SMD =‐ − 1.00; 95% CI =‐ − 1.44, − 0.55; p < 0.001). In studies with overweight/obese participants only, effects relative to usual care were found for body mass index (SMD = − 0.99; 95% CI = − 1.67, − 0.31; p = 0.004). Effects however were not robust against selection bias; and publication bias could not be ruled out. No intervention-related adverse events were reported.ConclusionsDespite methodological drawbacks, yoga can be preliminarily considered a safe and effective intervention to reduce body mass index in overweight or obese individuals.     

Correlates between risk perceptions of cervical cancer and screening practice

ObjectivesTo identify the correlates between risk perceptions and cervical cancer screening among urban Malaysian women.MethodA cross-sectional household survey was conducted among 231 women in Petaling Jaya city in 2007. The association of risk perceptions of cervical cancer and screening practice was analyzed using Poisson regression.Results56% of the respondents ever had a Pap smear test. Knowledge of signs and symptoms (aPR = 1.11, 95% CI = 1.03–1.19), age (aPR = 1.02, 95% CI = 1.01–1.03), number of pregnancies (aPR = 1.06, 95% CI = 1.01–1.11), marital status, education level and religion were found to be significant correlates of Pap smear screening. Respondents who were never married were less likely to have had a Pap smear. Those who had no education or primary education were less likely to have had a Pap smear compared to those with degree qualification. The prevalence of screening was significantly higher among Christians and others (aPR = 1.35; 95% CI = 1.01–1.81) and Buddhists (aPR = 1.38; 95% CI = 1.03–1.84), compared to Muslims.ConclusionEliminating anecdotal beliefs as risks via targeted knowledge on established risk factors and culturally sensitive screening processes are strategic for increasing and sustaining uptake of Pap smear screening versus current opportunistic screening practices.     

Sleep insufficiency and the natural environment: Results from the US Behavioral Risk Factor Surveillance System survey

BackgroundExposure to the natural environment may improve health behaviors and mental health outcomes such as increased levels of physical activity and lower levels of depression associated with sleep quality. Little is known about the relationship between insufficient sleep and the natural environment.PurposeTo determine whether exposure to attributes of the natural environment (e.g., greenspace) attenuates the likelihood of reporting insufficient sleep among US adults.MethodsMultiple logistic regression models were used to explore the association between self-reported days of insufficient sleep (in the past 30 days) and access to the natural environment in a multi-ethnic, nationally representative sample (n = 255,171) of US adults ≥ 18 years of age enrolled in the 2010 Behavioral Risk Factor Surveillance System.ResultsUsing 1-to-6 days of insufficient sleep as the referent group for all analyses, lower odds of exposure to natural amenities were observed for individuals reporting 21-to-29 days (OR = 0.843, 95% confidence interval (CI) = 0.747, 0.951) of insufficient sleep. In stratified analyses, statistically significant lower odds of exposure to natural amenities were found among men reporting 7-to-13-days (OR = 0.911, 95% CI = 0.857, 0.968), 21-to-29-days (OR = 0.838, 95% CI = 0.759, 0.924), and 30-days (OR = 0.860, 95% CI = 0.784, 0.943) of insufficient sleep. Greenspace access was also protective against insufficient sleep for men and individuals aged 65 +.ConclusionsIn a representative sample of US adults, access to the natural environment attenuated the likelihood of reporting insufficient sleep, particularly among men. Additional studies are needed to examine the impact of natural environment exposure on sleep insufficiency across various socio-demographic groups.     

Weight and health-related quality of life: The moderating role of weight discrimination and internalized weight bias

ObjectivesObesity is an increasingly prevalent public health concern, with associated medical comorbidities and impairment in health-related quality of life (HRQoL). Obese women are frequently victims of weight-related discrimination. The HRQoL impairments among obese people could be related to this discrimination and to internalized weight bias.DesignWe examined the potential moderating role of discrimination (from others) and self-directed (internalized) weight-based discrimination in the association between body mass index (BMI) and HRQoL.MethodsEighty-one women (mean age = 41.1 years; mean BMI = 43.40 kg/m², 97% Caucasian) completed valid and reliable measures of weight bias internalization (weight bias internalization scale), perceived discrimination by others (everyday discrimination scale) and both physical and mental HRQoL (SF-36 Health Survey). Multiple regression analysis was used to test whether internalized weight bias or discrimination moderated the association between BMI and the summary scores for physical and mental HRQoL, controlling for age.ResultsSignificant associations were found between BMI and discrimination (r = .36, p = .002), between internalized weight bias and both mental (r = .61, p < .001) and physical HRQoL (r = .45, p < .001), and between discrimination and physical HRQoL (r = .29, p = .014). A statistically significant interaction was found between BMI and internalized weight bias (b = − .21, SE = .10, p < 0.05) in accounting for the variance in physical HRQoL.ConclusionsThe association between higher BMI and poorer physical HRQoL was found only in individuals reporting high levels of internalized weight bias. Self-discrimination among overweight individuals may be a critical factor in their physical health impairment.     

Vulnerabilidad de la obesidad definida por el índice de masa corporal,perímetro abdominal y porcentaje de grasa corporal

AimTo ascertain to what extent it is possible to stop being obese (to normalize body mass index [BMI], waist circumference [WC] and/or body fat percentage [BFP]).DesignLongitudinal observational and retrospective study.SiteEleven Spanish health centers.ParticipantsMen and women with BMI ≥ 30 kg/m² (n = 1246) or general obesity (GO), with WC > 102 cm and > 88 cm, respectively (n = 2122) or abdominal obesity (AO) and with BFP > 25% and > 35%, respectively (n = 2436) or excess body fat (EBF), from the PEPAF Study cohort of 4927 participants aged 20-80 years.Main measurementsData from the PEPAF study at baseline and at 6, 12 and 24 months: gender, age, diagnoses of diabetes, hypertension and dyslipidemia, smoking, levels of and compliance with physical activity recommendations, maximum oxygen consumption, weigh, height, WC and three skin-folds (thoracic, umbilical and anterior thigh for men and triceps, suprailiac and anterior thigh for women).ResultsOf 2054 participants with any type of obesity at baseline and valid data at 2 years, 240 (11.6%) had normalized all of their obesity diagnostic indexes. 19.5% (95% confidence interval (95% CI: 17.6-21.4) ceased to have EBF, 12.0% (95% CI: 10.4-13.7) ceased to have AO and 10.5% (95% CI: 8.5-12.7) ceased to have GO.ConclusionsObesity differs from other chronic diseases in that it can be «cured» by normalizing the amount of body fat.     

The ‘Healthy Dads,Healthy Kids’ community randomized controlled trial: A community-based healthy lifestyle program for fathers and their children

ObjectiveTo evaluate the effectiveness of the ‘Healthy Dads, Healthy Kids (HDHK)’ program when delivered by trained facilitators in community settings.MethodA two-arm randomized controlled trial of 93 overweight/obese fathers (mean [SD] age = 40.3 [5.3] years; BMI = 32.5 [3.8] kg/m²) and their primary school-aged children (n = 132) from the Hunter Region, Australia. In 2010–2011, families were randomized to either: (i) HDHK intervention (n = 48 fathers, n = 72 children) or (ii) wait-list control group. The 7-week intervention included seven sessions and resources (booklets, pedometers). Assessments were held at baseline and 14-weeks with fathers' weight (kg) as the primary outcome. Secondary outcomes for fathers and children included waist, BMI, blood pressure, resting heart rate, physical activity (pedometry), and self-reported dietary intake and sedentary behaviors.ResultsLinear mixed models (intention-to-treat) revealed significant between-group differences for fathers' weight (P < .001, d = 0.24), with HDHK fathers losing more weight (− 3.3 kg; 95%CI, − 4.3, − 2.4) than control fathers (0.1 kg; 95%CI, − 0.9,1.0). Significant treatment effects (P < .05) were also found for fathers' waist (d = 0.41), BMI (d = 0.26), resting heart rate (d = 0.59), energy intake (d = 0.49) and physical activity (d = 0.46) and for children's physical activity (d = 0.50) and adiposity (d = 0.07).DiscussionHDHK significantly improved health outcomes and behaviors in fathers and children, providing evidence for program effectiveness when delivered in a community setting.