Higher Odds Of Obesity Research Articles

Ethnic group differences in obesity in Asian Americans in California, 2013\u20132014

BackgroundObesity has been generally understudied in Asian Americans. It is important to identify subgroups of Asian Americans at high risk of obesity to help develop targeted interventions for those subgroups. This study aimed to examine the disparities in obesity among Asians (i.e., Chinese, Filipino, Japanese, Korean, and Vietnamese) living in California.MethodsA sample of Adult Americans in California (n = 47,970) including Asian American adults (n = 3810) aged 18 years or older were obtained from the 2013–2014 California Health Interview Survey (the U.S. nation’s largest state cross-sectional health survey). Body mass index was calculated using self-reported height and weight. Weight status was determined using the WHO Asian BMI cut points in 4 categories: < 18.5 kg/m2 (underweight), 18.5–22.9 kg/m2 (normal weight), 23–27.5 kg/m2 (overweight), and ≥ 27.5 kg/m2 (obese). Multiple logistic regression analyses were used to estimate odds ratio (OR) and 95% confidence interval (CI) after adjustment for covariates.ResultsOverall, the prevalence of Asians was 23.3% for obesity and 40.0% for overweight. The obesity prevalence was higher in Asians who were males, aged 45–64 years old, had higher family income, were current smokers, never got married, had lower education level, had an insufficient level of physical activity, and had more frequent consumption of fast foods. After adjusting for other factors, compared to Whites, being Hispanics and Blacks were associated with higher odds of obesity (OR = 1.47, 95%CI = 1.31–1.65; OR = 2.04, 95%CI = 1.65–2.53, respectively); being Chinese, Korean, and Vietnamese were associated with lower odds of obesity (OR = 0.28, 95%CI = 0.18–0.45; OR = 0.14, 95%CI = 0.04–0.46; OR = 0.28, 95%CI = 0.14–0.58, respectively). Compared to Chinese, being Japanese and Filipino were associated with higher odds of obesity (OR = 2.75, 95%CI = 1.52–4.95; OR = 2.90, 95%CI = 1.87–4.49, respectively).ConclusionsThe prevalence of adult obesity was high among Asian Americans in California. Ethnic/racial disparities in obesity among Asian Americans in California were observed in 2013–2014. Compared to Whites, being Chinese, Korean, Vietnamese were associated with lower odds of obesity. Among Asians, compared to Chinese, being Japanese and being Filipino were associated with higher odds of obesity. These findings can help design better interventions to reduce racial and ethnic disparities in obesity, especially for Asian Americans.

Comparing hospital admissions, comorbidities, and biomarkers between severe asthma and Gold III-IV chronic obstructive pulmonary disease.

In spite of difficulties in differentiating asthma from chronic obstructive pulmonary disease (COPD), physicians should strive for accurate diagnosis because outcomes may be different. Our aims were to compare the frequency of hospital admissions (HA) between severe asthmatic (SA) and Gold III-IV COPD subjects receiving disease-specific guideline recommended therapy and to depict the frequency of prevalent chronic disorders and the laboratorial profile suggesting allergic and eosinophilic phenotypes. This cross-sectional study comprises one group of SA subjects and another group of Gold III-IV COPD subjects. Subjects answered standard questionnaires, underwent spirometry, and provided a peripheral blood sample. We validated the HA that have occurred during the preceding year by review of the report emitted by the hospital. We detected comorbidities by review of current pharmacological therapies. We enrolled 160 SA and 41 Gold III-IV COPD subjects. As compared with Gold III-IV COPD subjects, SA subjects had lower odds of HA (odds ratio [OR] 0.19, 95% confidence interval [CI] 0.05-0.74) and higher odds of obesity (OR 9.17, 95%CI 2.68-31.37), hypertension (OR 2.54, 95%CI 1.16-5.57), and diabetes mellitus (OR 5.71, 95%CI 1.56-20.85). The frequency of atopic and eosinophilic phenotypes was similar between study groups. Our results demonstrated that Gold III-IV COPD subjects had worse outcomes as compared with SA subjects. We also observed that the frequency of atopy and high peripheral blood eosinophil count were similar between study groups. Finally, we exposed aspects of comorbidities related to asthma and COPD that indicate the need of close monitoring the cardiovascular risk in SA subjects above 40 years of age.

The concurrent burden of multimorbidity, mental health conditions, and severe obesity among United States health center patients

This paper examines the association of multimorbidity, mental health (MH) conditions, and obesity severity among health center (HC) patients in the United States. We used cross-sectional data from the 2014 Health Center Patient Survey (n = 5370). We examined the independent association of multimorbidity and MH conditions with obesity severity using a multinomial logistic regression model, controlling for potential confounders. More than half (50.4%) of HC patients had obesity, including 15% with severe obesity. In addition, 41% had multimorbidity and 49% had one of five diagnosed MH conditions. We found higher odds of having mild (OR = 4.06), moderate (OR = 3.39), and severe (OR = 4.93) obesity with the presence of both multimorbidity and MH conditions. Multimorbidity alone was also associated with higher odds of obesity, but MH conditions alone were only associated with having moderate obesity. Findings show a higher burden of comorbidity and MH conditions given the severity of obesity among HC patients. This complex patient profile highlights the need for innovative approaches in effective care delivery and management of HC patients who are primarily low-income or uninsured. Approaches may include further integration of behavioral health and social services with primary care and the need for targeted practice guidelines for providers managing such patients. • Evidence of combined mental health, multimorbidity, and obesity severity is limited. • US health centers patients are disproportionately affected by above conditions. • Combined multimorbidity and mental health was associated with higher obesity severity. • Confluence of these conditions requires innovative obesity management approaches.

Investigating the Association Between Child Television Viewing and Measured Child Adiposity Outcomes in a Large Nationally Representative Sample of New Zealanders: A Cross-Sectional Study.

This study investigates the association between television (TV) viewing and child adiposity and if parental education and child ethnicity moderate this association. Cross-sectional, pooled (2013/2014-2016/2017) adult and child New Zealand Health Survey were matched resulting in 13,039 children (2-14y) and parent dyads. Child TV viewing was estimated using self-reported time for each weekday and weekend. The height (in centimeters), weight (in kilograms), and waist circumference of parents and children were measured. Childhood body mass index and obesity were defined using the International Obesity Task Force cutoff values. Effect modification was assessed by interaction and then by stratifying regression analyses by parent education (low, moderate, and high) and child ethnicity (Asian, European/other, Māori, and Pacific). Overall, watching ≥2 hours TV on average per day in the past week, relative to <2 hours TV viewing, was associated with a higher odds of obesity (adjusted odds ratio = 1.291 [1.108-1.538]), higher body mass index z score (b = 0.123 [0.061-0.187]), and higher waist circumference (b = 0.546 [0.001-1.092]). Interactions considering this association by child ethnicity and parent education revealed little evidence of effect modification. While TV viewing was associated with child adiposity, the authors found little support for a moderating role of parental education and child ethnicity.

Temporal physical activity patterns are associated with obesity in U.S. adults

Few attempts have been made to incorporate multiple aspects of physical activity (PA) to classify patterns linked with health. Temporal PA patterns integrating time and activity counts were created to determine their association with health status. Accelerometry data from the National Health and Nutrition Examination Survey 2003–2006 was used to pattern PA counts and time of activity from 1999 adults with one weekday of activity. Dynamic time warping and kernel k-means clustering partitioned 4 participant clusters representing temporal PA patterns. Multivariate regression models determined associations between clusters and health status indicators and obesity, type 2 diabetes, and metabolic syndrome. Cluster 1 with a temporal PA pattern of the lowest activity counts reaching 4.8e4 cph from 6:00–23:00 was associated with higher body mass index (BMI) (β = 2.5 ± 0.6 kg/m2, 95% CI: 1.0, 4.1), higher waist circumference (WC) (β = 6.4 ± 1.3 cm, 95% CI: 2.8, 10.0), and higher odds of obesity (OR: 2.4; 95% CI: 1.3, 4.4) compared with Cluster 3 with activity counts reaching 9.6e4–1.2e5 cph between 16:00–21:00. Cluster 1 was also associated with higher BMI (β = 1.5 ± 0.5 kg/m2, 95% CI: 0.1, 2.8) and WC (β = 3.6 ± 1.3 cm, 95% CI: 0.1, 7.0) compared to Cluster 4 with activity counts reaching 9.6e4 cph between 8:00–11:00. A Temporal PA pattern with the lowest PA counts had significantly higher mean BMI and WC compared to temporal PA patterns of higher activity counts performed early (8:00–11:00) or late (16:00–21:00) throughout the day. Temporal PA patterns appear to meaningfully link to health status.

Revictimization Is Associated With Higher Cardiometabolic Risk in Sexual Minority Women.

Although there is evidence that interpersonal trauma is associated with cardiometabolic risk in women, previous studies have not assessed the potential role of revictimization (victimization in both childhood and adulthood) among sexual minority women. We used data from the Chicago Health and Life Experiences of Women study to examine the associations of revictimization (including physical, sexual, and any revictimization) with self-reported psychosocial factors, health behaviors, and cardiometabolic risk factors (e.g., obesity, hypertension, and diabetes). We tested multiple logistic regression models, adjusted for covariates, to estimate odds ratios of the associations between revictimization and cardiometabolic risk. The sample included 615 sexual minority women with a mean age of 40.0years; 38.7% White. Eighty-three (13.5%) and 101 (16.4%) participants reported experiencing sexual revictimization and physical revictimization, respectively. Each form of revictimization was associated with higher odds of reporting lifetime depression and recent binge eating, but lower odds of having high social support. Physical revictimization was associated with higher odds of obesity (adjusted odds ratio [AOR], 2.38; 95% confidence interval [CI], 1.38-4.10) and hypertension (AOR, 3.31; 95% CI, 1.70-6.46). Similarly, participants who reported any revictimization were more likely to have obesity (AOR, 2.36; 95% CI, 1.42-3.92) and hypertension (AOR, 2.60; 95% CI, 1.31-5.26). No form of revictimization was associated with a higher odds of diabetes. The higher odds of obesity and hypertension observed among sexual minority women who reported revictimization reinforce the need for early interventions to reduce cardiometabolic risk in this vulnerable population.

The mediating role of lifestyle in the relationship between shift work, obesity and diabetes

PurposeShift work has been related to obesity and diabetes, but the potential mediating role of lifestyle is yet unknown. Our aim was to investigate this mediating role of physical activity, diet, smoking, and sleep quality in the relationships between shift work, and obesity and diabetes.MethodsIn this cross-sectional study, 3188 shift workers and 6395 non-shift workers participated between 2013 and 2018 in periodical occupational health checks. Weight and height were objectively measured to calculate obesity (BMI ≥ 30 kg/m2). Diabetes status, physical activity, diet, smoking, and sleep quality were assessed using standardized questionnaires. Structural equation models adjusted for relevant confounders were used to analyze the mediating role of lifestyle in the relationships between shift work, and obesity and diabetes.ResultsShift workers were more often obese (OR: 1.37, 95% CI 1.16–1.61) and reported more often to have diabetes (OR:1.35, 95% CI 1.003–1.11) than non-shift workers. Shift workers had lower physical activity levels, ate fruit and vegetables less often, smoked more often, and had poorer sleep quality (p < 0.05). Mediation analysis revealed that shift workers had a higher odds of obesity (OR: 1.07, 95% CI 1.01–1.15) and diabetes (OR: 1.13, 95% CI 1.02–1.27) mediated by poorer sleep quality. Lower physical activity levels (OR: 1.11, 95% CI 1.05–1.19) and lower intake of fruit and vegetables (OR: 1.04, 95% CI 1.01–1.15) were also mediators in the relationship between shift work and obesity, but not in the relationship between shift work and diabetes (p ≥ 0.05).ConclusionThese results imply that interventions targeting diet, physical activity and in particular sleep problems specifically developed for shift workers could potentially reduce the adverse health effects of shift work.

Prevalence and factors associated with overweight and obesity in selected health areas in a rural health district in Cameroon: a cross-sectional analysis

BackgroundOverweight and obesity are major public health problems worldwide, with projections suggesting a proportional increase in the number of affected individuals in developing countries by the year 2030. Evidence-based preventive strategies are needed to reduce the burden of overweight and obesity in developing countries. We assessed the prevalence of, and factors associated with overweight and obesity in selected health areas in West Cameroon.MethodsData were collected from a community-based cross-sectional study, involving the consecutive recruitment of participants aged 18 years or older. Overweight and obesity were defined according to the WHO classification. The statistical software R (version 3.5.1, The R Foundation for statistical computing, Vienna, Austria) was used for statistical analysis. Multivariable logistic regression analysis was used to assess independent factors associated with overweight and obesity, and obesity.ResultsRecords of 485 participants were included for analysis. The age and sex-standardized prevalence of overweight, obesity, and overweight and obesity were 31.1% (95% CI, 27.0–35.2), 18.9% (95% CI, 14.9–22.9), and 50.1% (95% CI, 45.7–54.6), respectively. In multivariable analysis, being female (adjusted OR [aOR] = 2.79, 95% CI = 1.69–4.63), married (aOR = 3.90, 95% CI = 2.23–6.95), and having secondary or tertiary education (aOR = 3.27, 95% CI = 1.77–6.17) were associated with higher odds of overweight and obesity, while current smokers had lower odds of overweight and obesity (aOR = 0.37, 95% CI = 0.16–0.82) when compared to their respective counterpart. Compared to their respective reference categories, being female being (aOR = 3.74, 95% CI = 2.01–7.30), married (aOR = 2.58, 95% CI = 1.37–5.05) and having secondary or tertiary education (aOR = 2.03, 95% CI = 1.00–4.23) were associated with higher odds of obesity after adjustments for confounding.ConclusionWe observed a high prevalence of overweight and obesity in this study. The odds of overweight and obesity was higher in females, married participants, and those with higher levels of education. Community-based interventions to control overweight and obesity should consider targeting these groups.

75561 Association of childhood hypertension with early adulthood obesity and hypertension

ABSTRACT IMPACT: This study establishes the association between childhood hypertension and health outcomes in early adulthood, identifying the need to understand blood pressure during early life for primary prevention of hypertension and cardiovascular disease. OBJECTIVES/GOALS: There is evidence that blood pressure level in early life can influence hypertension and other cardiovascular risk factors later in life. We examined whether hypertension before the age of 18 is associated with higher odds of obesity and hypertension after the age of 18. METHODS/STUDY POPULATION: We studied 19,367 children and adolescents from the Vanderbilt University Medical Center’s Synthetic Derivative, a de-identified version of the electronic medical record. Childhood hypertension was defined as systolic blood pressure (SBP) ≥130 mmHg or diastolic blood pressure (DBP) ≥80 mmHg at three or more outpatient visits before the age of 18. Obesity and hypertension in early adulthood were the primary outcomes. Obesity was defined as being above normal weight for adulthood height at age 30 based on the NIH’s body mass index tables. Hypertension was defined as SBP ≥130 mmHg or DBP ≥80 mmHg at three or more outpatient visits after the age of 18. Odds ratios and 95% confidence intervals (CIs) were computed from logistic regression models adjusted for demographics, medication use, and childhood weight. RESULTS/ANTICIPATED RESULTS: Most subjects were female (63%) and white (80%). During childhood, 17% of participants had hypertension. Approximately 58% of this group were obese at age 30, and 38% had hypertension as adults. Compared to females with no childhood hypertension, females with childhood hypertension had 1.35 times higher odds of being obese at age 30 (95% CI: 1.15, 1.58) and 3.56 times higher odds of having hypertension over the age of 18 (95% CI: 3.09, 4.09). Males with childhood hypertension, compared to males without, had 1.28 times higher odds of being obese at age 30 (95% CI: 1.08, 1.52) and 2.74 times higher odds of having hypertension over the age of 18 (95% CI: 2.35, 3.20). Associations between childhood hypertension, early adulthood obesity, and hypertension significantly differed by gender (p-for-interaction for both: &lt;0.01). DISCUSSION/SIGNIFICANCE OF FINDINGS: Childhood hypertension is associated with obesity and hypertension in early adulthood. Understanding blood pressure levels in childhood and adolescence may help target efforts to reduce early adulthood cardiovascular risk factors.

Understanding the Heterogeneity of Obesity and the Relationship to the Brain-Gut Axis.

Obesity is best understood as a multifactorial metabolic imbalances disorder. In a cross-sectional study, we aimed to explore sociodemographic and dietary determinants of obesity in relation to brain-gut homeostasis among overweight and obese individuals. Multivariate logistic regression models were used to examine obesity and its association with sociodemographic and dietary factors. Biological variables examined included the gut microbiome, fecal amino acid metabolites and brain structural volumes. Among 130 participants, there were higher odds of obesity if individuals were Hispanic (adjusted odds ratio (aOR) 1.56, p = 0.014). Compared to non-Hispanics, Hispanics differed in gut microbial composition (p = 0.046) with lower microbial species richness (Chao1) (p = 0.032) and evenness (Shannon) (p = 0.0029). Fourteen of the twenty fecal amino acids including branch-chain- and aromatic- amino acids were increased among Hispanics (q < 0.05). Brain structural volumes in reward regions were decreased in Hispanics (pallidum, q = 0.036; brainstem, q = 0.011). Correlation patterns suggest complex brain-gut interactions differ by Hispanic ethnicity. In conclusion, Hispanics expressed a unique brain-gut microbial signature, which was associated with obesity despite sociodemographic and dietary differences. Addressing ethnic disparities guided by biologic phenotypes may unlock novel understanding of obesity heterogeneity and treatment strategies.

Association of class number, cumulative exposure, and earlier initiation of antibiotics during the first two-years of life with subsequent childhood obesity

BackgroundDespite the possible association between antibiotic overuse and childhood obesity, studies on this association are lacking in Asia. This study aimed to determine whether there is an association between the number, duration of antibiotic exposure, timing of antibiotics initiation and childhood obesity. MethodsIn this retrospective cohort study, Korean children born between January 1, 2008 and December 31, 2012, who underwent government-provided health examinations at age 4–6 and 30–36 months, were included. The main outcome was obesity (body mass index in 95th percentile) at 30–36 months. The exposure variable was antibiotic prescription during the first 24 months of life. The number, prevalence, and odds ratio (OR) of obese children based on antibiotic exposure were analyzed using logistic regression. ResultsOf 31,733 children, 31,457 (99.1%) children used antibiotics and 2843 (9%) were obese at 30–36 months. There was a clear dose-response relationship between obesity and number of antibiotic classes, cumulative days, and earlier antibiotic initiation. Children who used five or more antibiotic classes had higher odds of obesity than those who used only one class (OR 1.42, 95% CI 1.12–1.8). Children with >180 days of antibiotic exposure had higher risk of obesity than those with 1–30 exposure days (OR 1.40, 95% CI 1.19–1.64). Children with earlier initiation of antibiotics had higher risk of obesity (OR 1.15 per 6 months, 95% CI 1.08–1.22). ConclusionIncreased number of antibiotic classes, longer duration of antibiotic prescription and earlier antibiotic initiation before 24 months was associated with childhood obesity at 30–36 months. This South Korean retrospective study supports judicious use of antibiotics in the first 24 months of life to avoid the potential risk of childhood obesity. Future studies need to be performed to confirm or refute the results presented herein.

A missense variant in CREBRF, rs373863828, is associated with fat-free mass, not fat mass in Samoan infants.

In Samoa, where 80% of the adult population is living with obesity, understanding the determinants of adiposity and growth during infancy may inform prevention efforts. We examined the association of a missense variant, rs373863828, in the CREBRF gene with body composition in Samoan infants. Adults with one or more copies of the rs373863828 minor allele (A) have higher odds of obesity, based on body-mass index (BMI), but paradoxically decreased odds of diabetes compared to those without the allele. Our study may offer novel insight into the natural history and pathogenesis of this unexpected relationship. In a prospective study, we measured body composition in early infancy, and at 2- and 4-months of age using anthropometry and dual-energy x-ray absorptiometry (DXA). We genotyped subjects at the CREBRF rs373863828 locus and compared infants with (AA/AG) and without (GG) the variant. In longitudinal analyses, we calculated the absolute change in each outcome from the early infant to the 4-month assessment, adjusting for baseline and other covariates. In cross-sectional analyses, there was no significant difference in infant BMI or fat mass by genotype. After adjusting for covariates, infants with the variant had 4.0 ± 1.8 g more bone mass (p = 0.026) and 210.9 ± 79.6 g more lean mass (p = 0.009) at 4-months and accumulated 176.9 ± 73.0 g more lean mass between the early infant and 4-month assessment (p = 0.017). The CREBRF rs373863828 minor allele (A) was not associated with increased BMI or adiposity in Samoan infants, but instead with increased lean and bone mass. Our findings suggest that lean (i.e., muscle) and bone mass accretion should be explored as pathways to explain the "protective" effect of the CREBRF variant against diabetes.

Emotional Eating Partially Mediates the Relationship Between Food Insecurity and Obesity in Latina Women Residing in the Northeast U.S.

Abstract Objectives To examine the mediating role of emotional eating (EE) in the association between food insecurity (FI) and obesity in U.S. Latina women. Methods This study had a cross-sectional design. Participants were Latina women (n = 297) recruited from a community health center serving a large portion of the Latino population in Lawrence, Massachusetts. FI was measured with the 6-item USDA Household Food Security Scale. EE was measured with the Three Factor Eating Questionnaire R18-V2. Measured height and weight were used to calculate BMI; obesity was defined as BMI &amp;gt; 30.0 kg/m2. Covariates included: age, education, marital status, physical activity and country of birth. Mediation was tested using the Baron and Kenny method and the mediated proportion was calculated. Analyses included multivariable logistic regression and linear regression. Results Women were on average 46 ± 5 years. The majority were Dominicans (73%), born outside of the U.S. (78%), and with an education level of high school or less (70%). Overall, 36% of women experienced FI. Compared to food secure women, FI women were more likely to be obese (42% vs. 58%; P = 0.01), and had higher emotional eating scores (2.02 vs. 1.78; P = 0.03). In adjusted models, FI was associated with higher odds of obesity (Step 1 = OR: 1.78; 95% CI: 1.08–2.94) and higher EE scores (Step 2 = 0.23; 95% CI: 0.009–0.45). In turn, EE was associated with higher odds of obesity (Step 3 = OR: 1.81; 95% CI: 1.37–2.41). When EE was included in the main effects model, FI was only marginally significantly associated with obesity (Step 4 = OR: 1.62; 95% CI: 0.96–2.72) and EE explained 22% of the association between FI and obesity. Conclusions The association between FI and obesity is partially mediated by EE in Latina women. Longitudinal studies are needed to confirm our findings and to determine whether EE is an important intervention target to decrease obesity in this vulnerable group. Funding Sources Research reported in this abstract was supported by the National Institutes of Health, National Institute of Mental Health, National Institute of Minority Health and Health Disparities and Centers for Disease Control and Prevention.

Snack Consumption and Health Outcomes Among College Students in South Florida

Abstract Objectives Consumption of certain beverages/snacks contributes to obesity. Also, poor sleep and skipping breakfast are contributors to this problem. Our objective was to evaluate the association between beverage/snack consumption and weight status, sleep and breakfast intake among students enrolled at Florida International University (FIU). Methods This cross-sectional study included all enrolled students at the main FIU campus in Miami. A link to an online survey was sent to active students to collect data on socio-demographics, beverage/snack intake, weight status, breakfast consumption and sleep duration. Logistic regression was used to evaluate these associations. Results A total of 603 students completed the survey but only 435 completed all questions in the survey. Most students were female (73.3%), Hispanics (61.1%), aged 16–25 years (67%) and 39.6% were overweight or obese. Breakfast was consumed daily by 49.2%, 59.3% reported sleeping 6–7 hours and 60% reported their overall sleep quality as fairly good. Compared to underweight/healthy weight, the odds of being overweight/obese is significantly higher if soft drinks (OR 1.72; 95% CI 1.11, 2.68), nuts/seeds (OR 2.09; 95% CI 1.07, 4.09), fruits (OR 1.82; 95% CI 1.18, 2.80) are consumed somewhat frequently (1–4 times per week) and when unsweetened yogurt/cottage cheese is never consumed (OR 3.29; 95% CI 1.15, 9.31). Also, compared to sleeping 8 or more hours per night, the odds of sleeping less time (6–7 hours/night) is higher when consuming chips or salty snacks (OR 2.97; 95% CI 1.01, 8.67) frequently (5 times or more per week) but lower when consuming pastries (OR 0.63; 95% CI 0.41, 0.98) frequently or somewhat frequently. Compared to consuming breakfast frequently, the odds of skipping breakfast is significantly higher if nuts (OR 9.40; 95% CI 1.17, 75.5), vegetables (OR 3.40; 1.25, 9.29) fruits (OR 3.01; 95% CI 1.05, 8.66) are consumed rarely or only a few times per week. Conclusions Frequency of consumption of certain beverages/snacks was associated with higher odds of obesity, less sleep and skipping breakfast. These results can potentially influence interventions and policy change for availability of beverages and snacks on college campus to promote health. Funding Sources Internal funds from Florida International University.

Post-traumatic stress disorder and the association with overweight, obesity, and weight change among individuals exposed to the World Trade Center disaster, 2003–2016

Among Veterans, post-traumatic stress disorder (PTSD) has been shown to be associated with obesity and accelerated weight gain. Less is known among the general population. We sought to determine the impact of PTSD on body mass index (BMI) and weight change among individuals with exposure to the World Trade Center (WTC) disaster. We examined individuals from the WTC Health Registry. PTSD symptoms were assessed on multiple surveys (Waves 1-4) using the PTSD Checklist-Specific. Three categories of post-9/11 PTSD were derived: no, intermittent, and persistent. We examined two outcomes: (1) Wave 3 BMI (normal, overweight, and obese) and (2) weight change between Waves 3 and 4. We used multivariable logistic regression to assess the association between PTSD and BMI (N = 34 958) and generalized estimating equations to assess the impact of PTSD on weight change (N = 26 532). Sex- and age-stratified analyses were adjusted for a priori confounders. At Wave 3, the observed prevalence of obesity was highest among the persistent (39.5%) and intermittent PTSD (36.6%) groups, compared to the no PTSD group (29.3%). In adjusted models, persistent and intermittent PTSD were consistently associated with a higher odds of obesity. Weight gain was similar across all groups, but those with persistent and intermittent PTSD had higher estimated group-specific mean weights across time. Our findings that those with a history of PTSD post-9/11 were more likely to have obesity is consistent with existing literature. These findings reaffirm the need for an interdisciplinary focus on physical and mental health to improve health outcomes.

Implication of gut microbiota in the association between infant antibiotic exposure and childhood obesity and adiposity accumulation.

In animal studies early life antibiotic exposure causes metabolic abnormalities including obesity through microbiota disruption, but evidence from human studies is scarce. We examined involvement of gut microbiota in the associations between infant antibiotic exposure and childhood adiposity. Infant antibiotic exposure in the first year of life was ascertained using parental reports during interviewer-administered questionnaires. Primary outcomes were childhood obesity [body mass index (BMI) z-score > 95th percentile] and adiposity [abdominal circumference (AC) and skinfold (triceps + subscapular (SST)) measurements] determined from ages 15-60 months. At age 24 months, when the gut microbiota are more stable, stool samples (n = 392) were collected for the gut microbiota profiling using co-abundancy networks. Associations of antibiotic exposure with obesity and adiposity (n = 1016) were assessed using multiple logistic and linear mixed effects regressions. Key bacteria associated with antibiotics exposure were identified by partial redundancy analysis and multivariate association with linear models. Antibiotic exposure was reported in 38% of study infants. In a fully adjusted model, a higher odds of obesity from 15-60 months of age was observed for any antibiotic exposure [OR(95% CI) = 1.45(1.001, 2.14)] and exposure to ≥3 courses of antibiotics [2.78(1.12, 6.87)]. For continuous adiposity indicators, any antibiotic exposure was associated with higher BMI z-score in boys [β = 0.15(0.01, 0.28)] but not girls [β = -0.04(-0.19, 0.11)] (P interaction = 0.026). Similarly, exposure to ≥3 courses of antibiotics was associated with higher AC in boys [1.15(0.05, 2.26) cm] but not girls [0.57(-1.32, 2.45) cm] (P interaction not significant). Repeated exposure to antibiotics was associated with a significant reduction (FDR-corrected P values < 0.05) in a microbial co-abundant group (CAG) represented by Eubacterium hallii, whose proportion was negatively correlated with childhood adiposity. Meanwhile, a CAG represented by Tyzzerella 4 was positively correlated with the repeated use of antibiotics and childhood adiposity. Infant antibiotic exposure was associated with disruption of the gut microbiota and the higher risks of childhood obesity and increased adiposity.

A pro-inflammatory diet increases the likelihood of obesity and overweight in adolescent boys: a case\u2013control study

BackgroundObesity and Overweight at an early age can contribute with many chronic diseases such as cancers, diabetes and cardiovascular diseases. Diet-related inflammation is one of the most important underlying mechanisms that may has a key role in obesity and overweight. This paper aimed to compare the dietary inflammatory index (DII®) in normal weight and overweight adolescent boys.MethodsA total of 535 adolescent boys (214 cases were overweight and obese and 321 controls with normal weight) participated in this study from two schools in Tehran, Iran. The student’s weight and body composition were measured using a Bio-Impedance Analyzer (BIA) scale. A validated semi-quantitative Food Frequency Questionnaire (FFQ) was used to assess dietary inflammatory index.ResultsResults obtained from modeling DII® as a continuous variable identified a positive association between DII® and obesity (OR = 1.08, CI 1.01–1.16). After multivariable adjustment, subjects with DII® > 0.02 had at 1.5 times higher odds of obesity and overweight compared to subjects with DII® ≤ 0.02 (OR = 1.52; CI 1.04–2.22).ConclusionOur study indicated the importance of dietary-induced inflammation in the obesity and overweight during adolescence. Therefore, advising adolescent to consume diet with lower DII® with more fruits and vegetables, rich sources of fiber, flavonoids, zinc, magnesium and selenium and avoiding the consumption of saturated fatty acids (SFA), trans-fatty acids, and cholesterol may support a healthy weight.

Empirically derived dietary patterns and obesity among Iranian Adults: Yazd Health Study-TAMYZ and Shahedieh cohort study.

The aim was to determine the relationship between dietary patterns derived by principal component analysis (PCA) in association with obesity from a large group of Iranian adults in the urban and suburb areas. A cross‐sectional study was conducted on 10,693 Iranian adults. The data were collected from two cohort studies: Shahedieh city annexed to Yazd area as well as Yazd Health Study (YaHS)‐TAMYZ (Yazd Nutrition Survey in Persian) in urban area. Dietary intakes were assessed using a validated semi‐quantitative food frequency questionnaire. The PCA was applied to identify the dietary patterns. Multiple logistic regressions were run to assess the relationship between dietary patterns and obesity. In Shahedieh cohort study, three major dietary patterns were identified traditional, unhealthy, and prudent pattern. Prudent pattern was associated with lower odds of obesity (OR: 0.68; 95% CI: 0.53, 0.88). Higher adherence to the unhealthy (OR: 1.24; 95% CI: 1.02, 1.50) and traditional (OR: 1.38; 95% CI: 1.11, 1.72) patterns was related to greater odds of obesity. Moreover, we identified traditional and unhealthy dietary patterns in YaHS study. Higher adherence to the unhealthy dietary pattern was associated with greater odds of obesity (OR: 1.21 95% CI: 1.02, 1.44). Greater adherence to unhealthy dietary patterns was associated with higher odds of obesity in participants. Greater adherence to traditional and prudent dietary patterns increased and decreased the obesity odds, respectively. Further prospective studies are needed to find out the causal relationship between the variables.

Time-trends and correlates of obesity in Czech adolescents in relation to family socioeconomic status over a 16-year study period (2002\u20132018)

BackgroundThe main objective of the study is to analyse the changes in the prevalence of obesity among Czech adolescents between 2002 and 2018 with regard to the socioeconomic status (SES) of adolescents’ families and to find SES-separated correlates of adolescents’ obesity in 2018.MethodsA nationally representative sample of 29,879 adolescents (49.6% of them boys) aged 10.5–16.5 years was drawn from the Health Behaviour in School-aged Children cross-sectional, self-reported questionnaire surveys conducted in 2002, 2006, 2010, 2014, and 2018 in Czechia. Chi-square (χ2) tests were performed to assess the changes in the prevalence of obesity in both genders and all SES categories of adolescents between 2002 and 2018, and SES category-related differences in the prevalence of obesity in 2018 separately for boys and girls. A series of multiple stepwise logistic regression (backward elimination) analyses were used to reveal obesity correlates separately for SES categories of adolescents.ResultsAcross the quadrennial surveys from 2002 to 2018, we observed a clear increase in the prevalence of obesity in all SES categories of adolescents, which was most striking (p < 0.05) in adolescents with low SES (boys: + 7.5% points (p.p.); girls + 2.4 p.p.). When all the survey cycles were compared, the highest prevalence of obesity was evident in the low-SES adolescents in 2018, both in girls (5.1%) and boys (12.0%). Regardless of the adolescent SES category, the lower odds of obesity were significantly (p < 0.05) associated with regular vigorous physical activity (PA), participation in organized sport, and daily consumption of sweets. In addition, at least 60 min of moderate-to-vigorous PA significantly reduced the odds of obesity in adolescents of low and high SES categories.ConclusionsAn unreasonable increase in the prevalence of obesity in adolescents with low SES highlights the need to prevent obesity in adolescents with a low-SES background. Additionally, significantly higher odds of obesity in 11- and 13-year-old adolescents from low-SES families, compared with their peers aged 15, indicated an expectable rise in obesity in older low-SES adolescents in the near future.

Twenty-Four-Hour Movement Guidelines and Body Weight in Youth

To examine the prevalence of youth meeting the 24-hour healthy movement guidelines (ie, ≥60minutes of moderate-to-vigorous physical activity, ≤2hours of screen time, age-appropriate sleep duration), and which combination of meeting these guidelines was most associated with bodyweight status, in a nationally representative US sample. Cross-sectional data from the 2016-2017 National Survey of Children's Health were used. A multinomial regression model of body weight status was generated (underweight, overweight, obese vs healthy weight) and then stratified by sex. Analyses were adjusted for potential confounders. The sample (n=30 478) was 50.4% female, 52.4% white, and the mean age was 13.85±2.28years; 15% percent were obese and 15.2% were overweight. Overall, 9.4% metall 3 of the 24-hour healthy movement guidelines, 43.6% met 2, 37.9% met 1, and 9.1% met none. Meeting zero guidelines (vs 3) was associated with the greatest likelihood of overweight (aOR, 1.85; 95% CI, 1.31-2.61), and obesity (aOR, 4.25; 95% CI, 2.87-6.31). Females (aOR, 4.97; 95% CI, 2.59-9.53) had higher odds of obesity than males (aOR, 3.99; 95% CI, 2.49-6.40) when zero (vs 3) guidelines were met. Meeting the moderate-to-vigorous physical activity guideline, either alone or in combination with screen time or sleep duration (vs all 3), was associated with the lowest odds for overweight and obesity in the full sample. Meeting all movement guidelines was associated with the lowest risk for obesity, particularly in females. Meeting the moderate-to-vigorous physical activity guideline may be a priority to prevent overweight and obesity in youth.