Obesity Odds Ratio Research Articles

Coffee Consumption and the Risk of Obesity in Korean Women.

Instant coffee mixes that contain sugar and non-dairy creamer account for 80–90% of the total coffee market in Korea. The objective of this study was to investigate the relationship between coffee consumption and obesity in Korean women. We included 5995 women who participated in a health screening examination at the Korean National Cancer Center between 2007 and 2016. Daily coffee consumption and the use of sugar and creamer in coffee was evaluated using a 106-item food frequency questionnaire. Obesity was assessed by body mass index (BMI), and abdominal obesity was assessed by waist circumference (WC). A multiple logistic regression model was used to calculate the odds ratio (OR) of obesity according to coffee consumption. After multivariate adjustment, high coffee consumption was positively associated with obesity as measured by BMI (≥3 cups vs. no drinks, OR = 2.52; 95% confidence interval (CI) = 1.91–3.34; p for the trend < 0.001) and abdominal obesity as measured by WC (≥3 cups vs. no drinks, OR = 2.11; 95% CI = 1.59–2.79; p for the trend < 0.001). The positive association between daily coffee consumption and obesity prevalence was not altered by menopause. The amount of coffee with additives consumed per day by Korean women was positively correlated with the prevalence of obesity, but causation cannot be determined due to the cross-sectional nature of the study design. The mechanism underlying the observed relationship is yet to be elucidated.

Serum fetuin-A levels in obese and non-obese subjects with and without type 2 diabetes mellitus

BackgroundHigher fetuin-A expression is linked to both obesity and type 2 diabetes mellitus (T2DM), However, studies in non-obese patients with T2DM are scarce. Methods345 newly diagnosed T2DM patients and 300 subjects with normal glucose tolerance (NGT) were divided into obese and non-obese subgroups, respectively. Serum fetuin-A and adiponectin levels and related parameters were measured. ResultsT2DM patients with obesity had higher fetuin-A levels compared with non-obese patients and obese NGT subjects (p<0.001). Significant correlations were observed between fetuin-A and most metabolic parameters in obese NGT and T2DM subjects, but which was not in non-obese patients with T2DM. The independent associations were found between fetuin-A and free fatty acids, HOMA-IR, C-reactive protein and adiponectin only in obese NGT and T2DM subjects (all p<0.05). The adjusted odds ratios for obesity were increased with increasing quartile of fetuin-A in both T2DM and NGT subjects in logistic regression models (p for trend<0.001), but which was more significant in T2DM patients. ConclusionHigher serum fetuin-A levels in obese T2DM patients compared with non-obese patients and obese NGT subjects supports the hypothesis that fetuin-A may be as a bridge connecting obesity and obesity-related T2DM.

Association between obesity and self-reported sleep duration variability, sleep timing, and age in the Japanese population

The objective of this study was to investigate the association between obesity and sleep habits, including bedtime, wake-up time, and sleep duration variability over a week. We analyzed 9289 participants in this study. Following a health examination, each participant self-reported their sleep habits using a standardized 19-item questionnaire. High sleep duration variability was defined as sleep varying ≥3h of the difference between the longest and shortest sleep durations reported over a week-long period. Late bedtime and early wake-up time were defined as 24:00h or later, and before 6:00h, respectively. Obesity was defined as a body mass index (BMI) of ≥25kg/m2. Subgroup analysis included age (younger group defined as age <65 years vs. elderly group defined as age ≥65 years). After adjusting for confounding factors and sleep duration, high sleep duration variability [odds ratio (OR), 1.20; p<0.005] was significantly associated with a high OR of obesity. Late bedtime (OR, 1.18; p<0.01) was significantly associated with a high OR of obesity, whereas early wake-up was not. In the subgroup analysis, high sleep duration variability had a significant association with the younger group (OR, 1.25; p<0.001), whereas late bedtime had a significant association with the elderly group (OR, 1.36; p<0.005). Inappropriate sleep habits, particularly high sleep duration variability in young individuals and late bedtime in the elderly, are associated with a high prevalence of obesity, independently of sleep duration.

Child Overweight and Obesity in Shanghai, China: Contextualizing Chinese Socioeconomic and Gender Differences.

Childhood overweight and obesity is on the rise in China and in Chinese cities in particular. The aim of this study is to explore the extent of income differences in childhood overweight in Shanghai, China, and examine demographic, social, and behavioral explanations for these differences. Using the 2014 Child Well-Being Study of Shanghai, China-a survey that included extensive contextual information on children and their families in China's most populous city, prevalence rates and adjusted odds ratios of child overweight and obesity at age 7 were calculated by income tercile controlling for a wide variety of sociodemographic variables. District aggregate income increases the odds of child overweight/obesity, but only for boys. In contrast, rural hukou status was associated with lower odds of overweight/obesity for girls. Boys at age 7 are more likely to be overweight and obese than girls. District income further increases this likelihood for boys, while rural hukou status decreases this likelihood for girls, suggesting that preferences for boys and thinness ideals for girls may play a role in the income patterning of childhood overweight and obesity.

Body mass index trajectories during infancy and pediatric obesity at 6 years

PurposeThe purpose of the article was to examine the relationship between body mass index (BMI) trajectories during infancy and risk of obesity at the age of 6 years. MethodsWe used data on 1169 children with at least two BMI measures during their first year of life from the Infant Feeding Practices Survey II and its Year 6 Follow-Up. Latent class growth analysis was used to identify distinct trajectories of BMI, and multiple logistic regression analyses were used to assess the association of the identified trajectories with obesity at the age of 6 years. ResultsThree trajectories of BMI were identified during the first year of life: low stable (80.2%), high stable (16.9%), and rising (2.8%). Obesity at the age of 6 years was highest among children with a high-stable trajectory (17.2%), followed by the low-stable (9.6%) and rising (9.1%) groups. Compared with those in the low-stable trajectory, the adjusted odds ratio for obesity at the age of 6 years was 1.79 (95% confidence interval 1.13–2.84) in children with the high-stable growth trajectory and 0.84 (0.26–2.72) in children with the rising growth trajectory. ConclusionsHigh-stable BMI trajectory in infancy resulted in a higher risk for obesity at the age of 6 years, but had low accuracy for identifying obese children at the age of 6 years.

Meta-analysis on shift work and risks of specific obesity types.

This systematic review and meta-analysis evaluated the associations between shift work patterns and risks of specific types of obesity. PubMed was searched until March 2017 for observational studies that examined the relationships between shift work patterns and obesity. Odds ratio for obesity was extracted using a fixed-effects or random-effects model. Subgroup meta-analyses were carried out for study design, specific obesity types and characteristics of shift work pattern. A total of 28 studies were included in this meta-analysis. The overall odds ratio of night shift work was 1.23 (95% confidence interval=1.17-1.29) for risk of obesity/overweight. Cross-sectional studies showed a higher risk of 1.26 than those with the cohort design (risk ratio=1.10). Shift workers had a higher frequency of developing abdominal obesity (odds ratio=1.35) than other obesity types. Permanent night workers demonstrated a 29% higher risk than rotating shift workers (odds ratio 1.43 vs. 1.14). This meta-analysis confirmed the risks of night shift work for the development of overweight and obesity with a potential gradient association suggested, especially for abdominal obesity. Modification of working schedules is recommended, particularly for prolonged permanent night work. More accurate and detailed measurements on shift work patterns should be conducted in future research.

Association of Meat Intake with Overweight and Obesity among School-aged Children and Adolescents.

BackgroundThis study aimed to investigate the association of overweight and obesity with red and white meat intake among children and adolescents using secondary survey data (n=16,261) from in-school Student Health Examination conducted in 2006 and 2007.MethodsDescriptive statistics was conducted to investigate the frequency of meat intake per week. The body mass index (BMI) grades for obesity in boys and girls were classified using the standards from the 2007 Korean National Growth Charts. The association of meat intake with overweight and obesity was analyzed using Chi-square test and multiple logistic regression.ResultsThe proportion of subjects with no intake/week vs. daily meat intake/week was 5.9% and 5.5%, respectively. No intake of meat was more frequent in those who were female and in middle school, whereas daily meat intake was more frequent in those who were male and in high school. The proportions of overweight and obesity in the no meat intake/week group and daily meat intake/week group were 12.3% and 11.1% vs. 8.1% and 9.9%, respectively. After adjusting for confounding variables, including age; consumption of instant noodles, soft drinks and fast foods, dairy products, and fruits and vegetables; and skipping breakfast, the odds ratios of overweight and obesity in the no meat intake/week group were 1.41 times higher (95% confidence interval, 1.04–1.85) than those in the daily meat intake/week group.ConclusionIt is important to consider correcting the perception about meat intake and obesity and avoid restricting meat intake to prevent overweight and obesity among children and adolescents.

The Association between Central Obesity and the Risk of Irritable Bowel Syndrome: A Case-control Study

Background: Central obesity and Irritable Bowel Syndrome (IBS) are common medical conditions with similar etiologic mechanisms. There are limited studies to evaluate the association between obesity, especially central obesity; with IBS. Establishing such association is important in the management of IBS. Objective: To evaluate the association between central obesity and IBS in Iraqi patients using Waist-to-Height ratio (WtHR) as an index of central obesity. Patients and Methods: Central obesity defined by Waist-to-Height ratio > 0.5. Inclusion and exclusion criteria for diagnosing IBS were used. A case-control study was performed at AL-Nuaman Teaching Hospital in the period from January 2015 to December 2015, Comparing Waist-to-Height ratio (WtHR) between 75 patients (with IBS) and 130 controls (without IBS) to assess the association between central obesity and IBS. Chi-square test with 95% confidence was used to evaluate association between central obesity and IBS, and Odds ratio (OR) for central obesity was determined. Results: There is significant association between central obesity and IBS, x2 (1) = 36.2, P Conclusion: Central obesity is significantly associated with IBS and may be regarded as a risk factor for IBS.

The contribution of risk factors to socioeconomic inequalities in multimorbidity across the lifecourse: a longitudinal analysis of the Twenty-07 cohort

BackgroundMultimorbidity is a major challenge to health systems globally and disproportionately affects socioeconomically disadvantaged populations. We examined socioeconomic inequalities in developing multimorbidity across the lifecourse and investigated the contribution of five behaviour-related risk factors.MethodsThe Twenty-07 study recruited participants aged approximately 15, 35, and 55 years in 1987 and followed them up over 20 years. The primary outcome was development of multimorbidity (2+ health conditions). The relationship between five different risk factors (smoking, alcohol consumption, diet, body mass index (BMI), physical activity) and the development of multimorbidity was assessed. Social patterning in the development of multimorbidity based on two measures of socioeconomic status (area-based deprivation and household income) was then determined, followed by investigation of potential mediation by the five risk factors. Multilevel logistic regression models and predictive margins were used for statistical analyses. Socioeconomic inequalities in multimorbidity were quantified using relative indices of inequality and attenuation assessed through addition of risk factors.ResultsMultimorbidity prevalence increased markedly in all cohorts over the 20 years. Socioeconomic disadvantage was associated with increased risk of developing multimorbidity (most vs least deprived areas: odds ratio (OR) 1.46, 95% confidence interval (CI) 1.26–1.68), and the risk was at least as great when assessed by income (OR 1.53, 95% CI 1.25–1.87) or when defining multimorbidity as 3+ conditions. Smoking (current vs never OR 1.56, 1.36–1.78), diet (no fruit/vegetable consumption in previous week vs consumption every day OR 1.57, 95% CI 1.33–1.84), and BMI (morbidly obese vs healthy weight OR 1.88, 95% CI 1.42–2.49) were strong independent predictors of developing multimorbidity. A dose–response relationship was observed with number of risk factors and subsequent multimorbidity (3+ risk factors vs none OR 1.91, 95% CI 1.57–2.33). However, the five risk factors combined explained only 40.8% of socioeconomic inequalities in multimorbidity development.ConclusionsPreventive measures addressing known risk factors, particularly obesity and smoking, could reduce the future multimorbidity burden. However, major socioeconomic inequalities in the development of multimorbidity exist even after taking account of known risk factors. Tackling social determinants of health, including holistic health and social care, is necessary if the rising burden of multimorbidity in disadvantaged populations is to be redressed.

Childhood Health Outcomes in Term, Large-for-Gestational-Age Babies With Different Postnatal Growth Patterns.

Large-for-gestational-age (LGA) babies have a higher risk of metabolic disease later in life, and their postnatal growth in early childhood may be associated with long-term adverse outcomes. This study aimed to determine childhood health outcomes of term LGA babies with different growth patterns. Data were obtained from the US Collaborative Perinatal Project for the years between 1959 and 1976. The growth trajectories of 3,316 term LGA babies were identified and odds ratios of obesity, growth restriction, low intelligence quotient (IQ), and high blood pressure (HBP) were calculated by logistic regression. Compared with term appropriate-for-gestational-age infants, term LGA babies without catch-down growth had increased risks of obesity (adjusted odds ratio (aOR) = 6.37, 95% confidence interval (CI): 5.24, 7.73) and HBP (aOR = 1.67, 95% CI: 1.37, 2.03). Those with high catch-down growth had higher risks of growth restriction (aOR = 2.21, 95% CI: 1.66, 2.95) and low IQ (aOR = 1.61, 95% CI: 1.04, 2.49). Nevertheless, infants with small catch-down growth had lower risks of obesity (aOR = 0.78, 95% CI: 0.63, 0.95), growth restriction (aOR = 0.28, 95% CI: 0.17, 0.46), low IQ (aOR = 0.66, 95% CI: 0.41, 1.06), and HBP (aOR = 0.89, 95% CI: 0.77, 1.04). According to our data, term LGA infants with small catch-down growth had no increased risks of adverse outcomes.

Role of the Polymorphisms of Uncoupling Protein Genes in Childhood Obesity and Their Association with Obesity-Related Disturbances.

Obesity, one of the most common disorders observed in clinical practice, has been associated with energy metabolism-related protein genes such as uncoupling proteins (UCPs). Herein, we evaluated UCPs as candidate genes for obesity and its morbidities. A total of 268 obese and 185 nonobese children and adolescents were enrolled in this study. To determine dyslipidemia, hypertension, and insulin resistance, laboratory tests were derived from fasting blood samples. UCP1-3826 A/G, UCP2 exon 8 deletion/insertion (del/ins), and UCP3-55C/T variants were also genotyped, and the relationships among the polymorphisms of these UCPs and obesity morbidities were investigated. The mean ages of the obese and control groups were 11.61 ± 2.83 and 10.74 ± 3.36 years, respectively. The respective genotypic frequencies of the AA, AG, and GG genotypes of UCP1 were 46.3%, 33.2%, and 20.5% in obese subjects and 46.5%, 42.2%, and 11.4% in the controls (p = 0.020). G alleles were more frequent in obese subjects with hypertriglyceridemia (42.9%; p = 0.048) than in those without, and the GG genotype presented an odds ratio for obesity of 2.02 (1.17-3.47; p = 0.010). The polymorphisms of UCP2 exon 8 del/ins and UCP3-55C/T did not influence obesity risk (p > 0.05). The I (ins) allele was associated with low HDL cholesterolemia (p = 0.023). The GG genotype of the UCP1-3826 A/G polymorphism appears to contribute to the onset of childhood obesity in Turkish children. The GG genotype of UCP1, together with the del/del genotype of the UCP2 polymorphism, may increase the risk of obesity with synergistic effects. The ins allele of the UCP2 exon 8 del/ins polymorphism may contribute to low HDL cholesterolemia.

Determinants of Incident Metabolic Syndrome in a Middle Eastern Population: Isfahan Cohort Study.

To identify the associated risk factors with development of metabolic syndrome (MetS) in a longitudinal prospective cohort study in an Iranian population. A total of 1994 participants, aged ≥35 years, free of MetS, diabetes, and cardiovascular disease at baseline were followed up for 7 years. Physical examination, laboratory studies, and interview about lifestyle factors were performed, and MetS was defined based on harmonized definition at both time points. Logistic regression was used to calculate odds ratio (OR) and corresponding 95% confidence interval (CI). MetS occurred in 27% of subjects with an incidence rate of 39.2 and 46.6 per 1000 person-year in men and women, respectively (P = 0.04). Among the components of MetS, triglyceride (TG) alone (OR 2.59, 95% CI 1.78-3.78) or in combination with waist circumference (WC; OR 5.01, 95% CI 3.59-7.01) was the strongest predictor of incident MetS compared to those free of components. In multivariable analysis, all components were associated with higher risk except fasting plasma glucose in both genders and high-density lipoprotein cholesterol in men. Impaired glucose tolerance was associated with two (95% CI 1.11-3.65) times increased risk in women. The multivariable adjusted OR (95% CI) of overweight and obesity was 1.68 (1.13-2.50) and 2.88 (1.73-4.78) in women and 2.46 (1.74-3.46) and 2.47 (1.38-4.43) in men, respectively. Unhealthy diet [1.57 (1.02-2.41)] and weekly Cola consumption [1.50 (1.05, 2.14)] increased the risk in women only. TG and WC components showed the highest predictive values for MetS incidence, while general obesity was independently associated with it.

Intake of Energy and Protein is Associated with Overweight Risk at Age 5.5 Years: Results from the Prospective TEDDY Study.

ObjectiveWe assessed the associations of energy, protein, carbohydrate and fat intake with weight status up to the age of 5.5 years in the prospective TEDDY study.MethodsFood record data (3 days) and body mass index (BMI) measurements between 0.25 and 5.5 years were available from 5,563 children with increased genetic risk for type 1 diabetes followed from shortly after birth. We calculated odds ratios (ORs) for overweight and obesity by previous intake of energy, protein, carbohydrates and fat with adjustment for potential confounders.ResultsOverweight and obesity at the age of 5.5 years were positively associated with mean energy intake in previous age intervals (e.g. adjusted OR [95% confidence interval] for overweight: 1.06 [1.04, 1.09] per 100 kcal intake at the age of 4.5–5.0 years), and with protein intake after the age of 3.5 and 4.5 years, respectively (e. g. adjusted OR for overweight: 1.06 [1.03, 1.09] per 1 % of energy intake at the age of 4.5–5.0 years). The respective associations with carbohydrate and fat intake were less consistent.ConclusionsThese findings indicate that energy and protein intake are positively associated with increased risk for overweight in childhood, but yield no evidence for potential programming effects of protein intake in infancy.

Lifestyle Patterns and Weight Status in Spanish Adults: The ANIBES Study.

Limited knowledge is available on lifestyle patterns in Spanish adults. We investigated dietary patterns and possible meaningful clustering of physical activity, sedentary behavior, sleep time, and smoking in Spanish adults aged 18–64 years and their association with obesity. Analysis was based on a subsample (n = 1617) of the cross-sectional ANIBES study in Spain. We performed exploratory factor analysis and subsequent cluster analysis of dietary patterns, physical activity, sedentary behaviors, sleep time, and smoking. Logistic regression analysis was used to explore the association between the cluster solutions and obesity. Factor analysis identified four dietary patterns, “Traditional DP”, “Mediterranean DP”, “Snack DP” and “Dairy-sweet DP”. Dietary patterns, physical activity behaviors, sedentary behaviors, sleep time, and smoking in Spanish adults aggregated into three different clusters of lifestyle patterns: “Mixed diet-physically active-low sedentary lifestyle pattern”, “Not poor diet-low physical activity-low sedentary lifestyle pattern” and “Poor diet-low physical activity-sedentary lifestyle pattern”. A higher proportion of people aged 18–30 years was classified into the “Poor diet-low physical activity-sedentary lifestyle pattern”. The prevalence odds ratio for obesity in men in the “Mixed diet-physically active-low sedentary lifestyle pattern” was significantly lower compared to those in the “Poor diet-low physical activity-sedentary lifestyle pattern”. Those behavior patterns are helpful to identify specific issues in population subgroups and inform intervention strategies. The findings in this study underline the importance of designing and implementing interventions that address multiple health risk practices, considering lifestyle patterns and associated determinants.

Bisphenol A substitutes and obesity in US adults: analysis of a population-based, cross-sectional study

Bisphenol F (BPF) and bisphenol S (BPS) are increasingly used to substitute bisphenol A (BPA), a widespread environmental endocrine disruptor and putative obesogen. However, studies on effects of BPF and BPS on obesity in humans are lacking. We examined the associations of BPA, BPF, and BPS exposure with obesity in U.S. adults. We included 1,521 participants aged 20 years or older from a cross-sectional study, the National Health and Nutrition Examination Survey 2013-2014. Urinary BPA, BPF, and BPS concentrations were measured using on-line solid phase extraction coupled to high performance liquid chromatography and tandem mass spectrometry. We used body mass index and waist circumference to define general obesity and abdominal obesity, respectively. We used logistic regression with sample weights to estimate the odds ratios (ORs) of obesity and 95% confidence intervals. Higher BPA, BPF, and BPS concentrations were observed in obese adults than non-obese adults. After adjustment for demographic, socioeconomic, lifestyle factors, and urinary creatinine concentrations, BPA, but not BPF or BPS, was significantly associated with obesity. The OR of general obesity was 1.78 (1.10-2.89) comparing the highest with lowest quartile of BPA, 1.02 (0.70-1.47) for BPF, and 1.22 (0.81-1.83) for BPS. The corresponding OR for abdominal obesity was 1.55 (1.04-2.32) for BPA, 1.05 (0.68-1.63) for BPF, and 1.16 (0.72-1.88) for BPS. Whereas there were significant associations of BPA exposure with general and abdominal obesity, BPF or BPS, at current exposure level, was not significantly associated with obesity in U.S. adults. Continued biomonitoring of these bisphenols in populations and further investigations on their health effects in humans are warranted.

Serum HBV surface antigen positivity is associated with low prevalence of metabolic syndrome: A meta-analysis.

Background and aimAs there is conflicting evidence for the relationship between hepatitis B virus surface antigen (HBsAg) positivity and the prevalence of metabolic syndrome (MetS), we performed a meta-analysis to investigate whether HBsAg positivity affects the incidence of MetS.MethodsObservational studies on the relationship between HBsAg positivity and MetS were obtained from PubMed, Web of Science, and the Cochrane Library in April 2016. The pooled odds ratios (ORs) of MetS and its components (central obesity, increased fasting glucose, increased blood pressure, dyslipidemia) for subjects with or without HBsAg positivity were synthesized. The standardized mean difference of MetS components between HBsAg-positive participants and healthy controls was calculated. Heterogeneity was explored with subgroup analysis and sensitivity analysis. Publication bias was detected using Egger’s test and Begg’s test.ResultsThirty studies were eligible for meta-analysis. The MetS OR for HBsAg-positive participants was significantly decreased compared with the controls [OR = 0.80, 95% confidence interval (CI), 0.70–0.90]. The negative effect of HBsAg positivity on elevated triglycerides (OR = 0.62, 95% CI, 0.59–0.64) was strong, while that for increased fasting blood glucose was weak (OR = 0.94, 95% CI, 0.90–0.98). The pooled ORs of central obesity (OR = 0.97, 95% CI, 0.91–1.04), reduced high-density lipoprotein cholesterol (OR = 0.98, 95% CI, 0.83–1.14), and elevated blood pressure (OR = 1.00, 95% CI, 0.80–1.25) for HBsAg-positive participants were all not significantly different compared with the controls. No publication bias was detected.ConclusionsSerum HBsAg positivity is inversely associated with the prevalence of MetS. Among the five components of MetS, elevated triglycerides had the strongest inverse relationship with HBsAg positivity.

Overweight and abdominal obesity in women of childbearing age of Russian, Somali and Kurdish origin and the general Finnish population.

Migrant background and higher parity may increase the risk of being overweight. We compared the prevalence of overweight (body mass index ≥25 kg/m2) and abdominal obesity (waist-to-height ratio ≥0.5) between non-pregnant migrant and Finnish women aged 18-45 years. The participants were 165 Russian, 164 Somali and 179 Kurdish origin women from the cross-sectional Migrant Health and Wellbeing study. The reference group included 388 women from the general Finnish population. Body anthropometrics were measured. The main statistical methods were logistic regression adjusted for sociodemographic and reproductive variables. The unadjusted prevalence of overweight and obesity, respectively, were higher among Somali (32.9%, 30.9%, P < 0.001) and Kurdish women (41.1%, 19.5%, P < 0.001) than among Finnish women (19.9%, 9.8%). The adjusted odds ratios (95% CI) for overweight (including obesity) were 0.54 (0.33; 0.89) for Russian, 2.89 (1.66; 5.03) for Somali and 2.56 (1.64; 4.00) for Kurdish women compared with Finnish women. Kurdish women had 2.96-fold (1.75; 5.00) adjusted odds ratio for abdominal obesity compared with Finnish women. Being parous was associated with overweight and abdominal obesity among Kurdish women. Overweight and obesity were very common among Somali and Kurdish origin women. Information on diet and physical activity in these groups is needed.

Trends in the prevalence of underweight, obesity, abdominal obesity and their related lifestyle factors in Korean young adults, 1998–2012

This study aimed to assess trends of underweight, obesity, and abdominal obesity and related lifestyle factors in young Korean adults. The analysis focused on adults aged 19-39 years using data from the Korea National Health and Nutrition Examination Survey (KNHANES) I-V (1998-2012). Underweight was defined as body mass index (BMI) <18.5kg/m2; obesity as BMI≥30kg/m2; and abdominal obesity as waist circumference ≥90cm in men and ≥85cm in women. We evaluated trends by analyzing the prevalence and odds ratios (ORs) of underweight, obesity, abdominal obesity, and the proportions and ORs of lifestyles. As compared with KNHANES I, the ORs for obesity were higher in III, IV, and V and the ORs for abdominal obesity were higher in IV and V in men, which showed an increasing trend (P for trend<0.001). In women, the prevalence of underweight and obesity showed a significant increasing tendency (P for trend<0.001). Lifestyle analysis revealed the overconsumption of energy intake proportion was increased in men and decreased in women. The lack of physical activity and high-risk alcohol consumption proportions showed increasing trends in both men and women. The current smoking proportion was decreased in men and increased in women. The lack of adequate sleep proportion showed a continuous increasing trend in men. Prevention of obesity in young men and women, and abdominal obesity in young men is needed. Meanwhile, management of underweight in young women is simultaneously required.

Effects of Promoting Long-term, Exclusive Breastfeeding on Adolescent Adiposity, Blood Pressure, and Growth Trajectories

Evidence that breastfeeding reduces child obesity risk and lowers blood pressure (BP) is based on potentially confounded observational studies. To investigate the effects of a breastfeeding promotion intervention on adiposity and BP at age 16 years and on longitudinal growth trajectories from birth. Cluster-randomized Promotion of Breastfeeding Intervention Trial. Belarusian maternity hospitals and affiliated polyclinics (the clusters) were allocated into intervention (n = 16) or control arms (n = 15) in 1996 and 1997. The trial participants were 17 046 breastfeeding mother-infant pairs; of these, 13 557 children (79.5%) were followed up at 16 years of age between September 2012 and July 2015. Breastfeeding promotion, modeled on the Baby-Friendly Hospital Initiative. Body mass index (BMI, calculated as weight in kilograms divided by height in meters squared); fat and fat-free mass indices and percentage of body fat from bioimpedance; waist circumference; overweight and obesity; height; BP; and longitudinal growth trajectories. The primary analysis was modified intention-to-treat (without imputation for losses to follow-up) accounting for within-clinic clustering. We examined 13 557 children at a median age of 16.2 years (48.5% were girls). The intervention substantially increased breastfeeding duration and exclusivity compared with the control arm (exclusively breastfed: 45% vs 6% at 3 months, respectively). Mean differences at 16 years between intervention and control groups were 0.21 (95% CI, 0.06-0.36) for BMI; 0.21 kg/m2 (95% CI, -0.03 to 0.44) for fat mass index; 0.00 kg/m2 (95% CI, -0.21 to 0.22) for fat-free mass index; 0.71% (95% CI, -0.32 to 1.74) for percentage body fat; -0.73 cm (-2.48 to 1.02) for waist circumference; 0.05 cm (95% CI, -0.85 to 0.94) for height; -0.54 mm Hg (95% CI, -2.40 to 1.31) for systolic BP; and 0.71 mm Hg (95% CI, -0.68 to 2.10) for diastolic BP. The odds ratio for overweight/obesity (BMI ≥85th percentile vs <85th percentile) was 1.14 (95% CI, 1.02-1.28) and the odds ratio for obesity (BMI ≥95th percentile vs <95th percentile) was 1.09 (95% CI, 0.92-1.29). The intervention resulted in a more rapid rate of gain in postinfancy height (1 to 2.8 years), weight (2.8 to 14.5 years), and BMI (2.8 to 8.5 years) compared with the control arm. The intervention had little effect on BMI z score changes after 8.5 years. A randomized intervention that increased the duration and exclusivity of breastfeeding was not associated with lowered adolescent obesity risk or BP. On the contrary, the prevalence of overweight/obesity was higher in the intervention arm. All mothers initiated breastfeeding, so findings may not apply to comparisons of the effects of breastfeeding vs formula feeding. isrctn.org: ISRCTN37687716; and clinicaltrials.gov: NCT01561612.

Light coffee consumption is protective against sarcopenia, but frequent coffee consumption is associated with obesity in Korean adults

Few studies have examined the effects of coffee on body composition in the general population. In this cross-sectional study, we hypothesized that coffee consumption is protective against obesity and sarcopenia in Korean adults. The study included 6906 subjects aged ≥40 years who participated in the Korean National Health and Nutrition Examination Survey in 2009–2010. Body composition was measured using dual-energy x-ray absorptiometry, and obesity was determined according to the body mass index (BMI) and waist circumference (WC). Sarcopenia was defined as an appendicular skeletal muscle mass divided by height-squared that was below the lower quintile of the study population. Participants were classified into 4 groups according to the degree of coffee consumption (<1/d, 1/d, 2/d, and ≥3/d).The numbers of participants who were obese by BMI, obese by WC, and sarcopenic were 2390 (35.5%), 2033 (28.5%), and 1438 (20.0%), respectively. On multiple logistic regression analyses, the odds ratio (OR) of sarcopenia was lower in men who drink coffee once a day compared to those who rarely drink coffee (OR: 0.69, 95% confidence interval [CI]: 0.50–0.94). Women who consumed coffee ≥3 times/d had higher obesity ORs than those who rarely drink coffee according to both obesity indices (OR: 1.57, 95% CI, 1.18–2.10 for obesity by BMI; OR: 1.33, 95% CI: 1.01–1.75 for obesity by WC). Light coffee consumption was protective against sarcopenia in men, whereas frequent coffee consumption produced a higher risk for obesity, especially in women.