Effectiveness of a Low-Calorie Weight Loss Program in Moderately and Severely Obese Patients

AimsTo compare effectiveness of a 1-year weight loss program in moderately and severely obese patients.MethodsThe study sample included 311 obese patients participating in a weight loss program, which comprised a 12-week weight reduction phase (low-calorie formula diet) and a 40-week weight maintenance phase. Body weight and glucose and lipid values were determined at the beginning of the program as well as after the weight reduction and the weight maintenance phase. Participants were analyzed according to their BMI class at baseline (30-34.9 kg/m²; 35-39.9 kg/m²; 40-44.9 kg/m²; 45-49.9 kg/m²; ≥50 kg/m²). Furthermore, moderately obese patients (BMI ℋ 40 kg/m²) were compared to severely obese participants (BMI ≥ 40 kg/m²).ResultsOut of 311 participants, 217 individuals completed the program. Their mean baseline BMI was 41.8 ± 0.5 kg/m². Average weight loss was 17.9 ± 0.6%, resulting in a BMI of 34.3 ± 0.4 kg/m² after 1 year (p ℋ 0.001). Overall weight loss was not significantly different in moderately and severely obese participants. Yet, severely obese participants achieved greater weight loss during the weight maintenance phase than moderately obese participants (−3.1 ± 0.7% vs. −1.2 ± 0.6%; p = 0.04). Improvements in lipid profiles and glucose metabolism were found throughout all BMI classes.Conclusion1-year weight loss intervention improves body weight as well as lipid and glucose metabolism not only in moderately, but also in severely obese individuals.Key Words: Weight loss, Weight maintenance, Weight regain, Obesity, Low calorie diet, Formula diet, Diabetes conversion     

Food Insecurity,a Determinant of Obesity? - an Analysis from a Population-Based Survey in the Paris Metropolitan Area, 2010

ObjectiveThe relationship between food insecurity and obesity is discussed in the literature. The objective of this study was to determine whether food insecurity and obesity were associated in the Paris metropolitan area.MethodsWe used data from third wave of the Health, Inequalities and Social Ruptures (SIRS) cohort study, a longitudinal population-based, representative health and socioepidemiological survey of the general population in the Paris metropolitan area. The participants'' BMI (calculated using self-reported height and weight) was analyzed as a continuous variable, and a dichotomous variable (BMI < 30 kg/m²/BMI ≥ 30 kg/m²) was constructed. Food insecurity was estimated using the Household Food Security Scale Module (HFSSM) and was treated as a trichotomous variable (food security / low food security / very low food security). Multilevel models were estimated for men and women separately.ResultsObesity (BMI ≥ 30 kg/m²) prevalence was 10.2%. The determinant of obesity differs according to gender. After adjustment for age, income and the sociooccupational group, very low food security was associated with obesity in women (OR = 2.01, 95%CI 1.05-3.82), and women with very low food security had a higher BMI (Coef. = 1.78, 95% CI 0.24-3.31). This association, however, was not significant for men (OR = 1.84, 95%CI 0.64-5.30).ConclusionIn times of economic crisis, it is increasingly essential to explore and understand the pathway through which very low food security is linked to obesity.     

Spontaneous Weight Change during Chronic Hepatitis C Treatment: Association with Virologic Response Rates

Objective: We examined weight changes during chronic hepatitis C (CHC) therapy and association with virologic response.Methods: Weight changes were compared between subjects achieving rapid, early, and sustained virologic response rates (RVR, EVR, and SVR). RVR, EVR and SVR were compared among patients with or without weight loss of ≥ 0.5 body mass index (BMI) units (kg/m²) at 4, 12, 48 weeks.Results: CHC therapy was initiated in 184 cases. Median pretreatment BMI was 27.7 (18.4-51.3) with 38% overweight and 31% obese (BMI ≥25 and ≥ 30, respectively). Among patients with liver biopsies (n = 90), steatosis was present in 31.6%; fibrosis grade of 1-2/6 in 46%, 3-4 in 37.3% and 5-6 in 14.7%. Mean weight loss at 4, 12, 24 and 48 weeks of therapy were 1.2, 2.6, 3.8 and 3.3 kg, respectively. After 4 and 12 weeks of treatment, 38% and 54.3% had a BMI decrement of ≥ 0.5 kg/m². For genotype 1, weight loss at 4 weeks was associated with significantly higher EVR (90.0% vs. 70%, p = 0.01) and a tendency towards better RVR and SVR (42.9% vs. 26.0% and 55.2% vs. 34.8%, respectively, p = 0.08). In multivariate analysis, weight loss at 4 weeks was independently associated with EVR (OR 6.3, p = 0.02) but was not significantly associated with RVR or SVRConclusions: Spontaneous weight loss at 4 and 12 weeks of CHC therapy was associated with improved EVR. Weight loss at 4 weeks was an independent predictor of EVR but not SVR.     

Association between Obesity and Cervical Microflora Dominated by Lactobacillus iners in Korean Women

Lactobacillus spp. are associated with the maintenance of reproductive health, but obesity reduces fertility and is a risk factor for obstetric and neonatal complications. We assessed the association between obesity and the cervical Lactobacillus composition, which has not been examined previously. Pyrosequencing was performed using cervical swabs collected from 76 normal participants with negative results for cervical intraepithelial neoplasia (CIN) and 57 participants with CIN, based on histological examinations. Cluster analysis of nine Lactobacillus spp. was performed, and five cluster types were identified. The association between obesity and the Lactobacillus community was assessed by logistic regression analysis after adjustment for confounding factors. The proportion of Lactobacillus iners increased and that of Lactobacillus crispatus decreased according to body mass index (BMI) categories, i.e., underweight (BMI of <18.5 kg m⁻²), normal weight (BMI of 18.5 to 22.9 kg m⁻²), overweight (BMI of 23.0 to 24.9 kg m⁻²), and obese (BMI of ≥25 kg m⁻²). The L. iners-dominant type had a significant association with obesity (odds ratio [OR], 7.55 [95% confidence interval [CI], 1.18 to 48.2]), compared to the L. crispatus-dominant type. The group with high values for the ratio obtained by dividing the relative abundance of L. iners by that of L. crispatus had a significant association with obesity (OR, 6.54 [95% CI, 1.22 to 35.1]), compared to the low-ratio group. Associations between obesity and the L. iners/L. crispatus ratio were observed among young women (OR, 6.26 [95% CI, 1.15 to 33.9]) but not older women and in the normal group (OR, 6.97 [95% CI, 1.20 to 70.4]) but not the CIN group. Obesity was associated with cervical microflora dominated by L. iners in reproductive-age women without dysplasia.     

Evaluation of the Counterweight Programme for obesity management in primary care: a starting point for continuous improvement

Background

Evaluation for obesity management in primary care is limited, and successful outcomes are from intensive clinical trials in hospital settings.

Aim

To determine to what extent measures of success seen in intensive clinical trials can be achieved in routine primary care. Primary outcome measures were weight change and percentage of patients achieving ≤5% loss at 12 and 24 months.

Design of study

Prospective evaluation of a new continuous improvement model for weight management in primary care.

Setting

Primary care, UK.

Method

Primary care practice nurses from 65 UK general practices delivered interventions to 1906 patients with body mass index (BMI) ≥30 kg/m² or ≥28 kg/m² with obesity-related comorbidities.

Results

Mean baseline weight was 101.2 kg (BMI 37.1 kg/m²); 25% of patients had BMI ≥40 kg/m² and 74% had ≥1 major obesity-related comorbidity. At final data capture 1419 patients were in the programme for ≥12 months, and 825 for ≥24 months. Mean weight change in those who attended and had data at 12 months (n = 642) was −3.0 kg (95% CI = −3.5 to −2.4 kg) and at 24 months (n = 357) was −2.3 kg (95% CI = −3.2 to −1.4 kg). Among attenders at specific time-points, 30.7% had maintained weight loss of ≥5% at 12 months, and 31.9% at 24 months. A total of 761 (54%) of all 1419 patients who had been enrolled in the programme for >12 months provided data at or beyond 12 months.

Conclusion

This intervention achieves and maintains clinically valuable weight loss within routine primary care.     

Relationship between Sarcopenic Obesity and Cardiovascular Disease Risk as Estimated by the Framingham Risk Score

This study was conducted to assess the association between sarcopenic obesity and cardiovascular disease (CVD) risk in Korean adults (n=3,320; ≥40 yr) who participated in the 5th Korean National Health and Nutrition Examination Survey in 2010. The appendicular skeletal muscle mass divided by body weight was calculated for each participant; participants with values <1 standard deviation below the mean reference value (i.e., aged 20-39 yr) were considered sarcopenic. Subjects were further classified into 4 groups according to their obesity (i.e., body mass index ≥25 kg/m²) and sarcopenic status. Individuals'' 10-yr CVD risk was determined using the Framingham risk model. The sarcopenic obese group had more participants (43.8% men, 14.6% women) with a high risk of CVD (≥20%). The sarcopenic obese group was associated with an increased 10-yr CVD risk than the non-sarcopenic, non-obese group (odds ratio [OR], 2.49; 95% confidence interval [CI], 1.53-4.06, P<0.001 in men; OR, 1.87; 95% CI, 1.02-3.41, P=0.041 in women). Sarcopenic non-obese and non-sarcopenic obese subjects were not associated with an increased 10-yr CVD risk. Sarcopenic obesity, but not non-sarcopenic obesity, was closely associated with an increased CVD risk in Korean adults.

Graphical Abstract

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Clinical Characteristics and Risk Factors for Mortality in Critical Coronavirus Disease 2019 Patients 50 Years of Age or Younger During the Delta Wave: Comparison With Patients > 50 Years in Korea

BackgroundNumerous patients around the globe are dying from coronavirus disease 2019 (COVID-19). While age is a known risk factor, risk analysis in the young generation is lacking. The present study aimed to evaluate the clinical features and mortality risk factors in younger patients (≤ 50 years) with a critical case of COVID-19 in comparison with those among older patients (> 50 years) in Korea.MethodsWe analyzed the data of adult patients only in critical condition (requiring high flow nasal cannula oxygen therapy or higher respiratory support) hospitalized with PCR-confirmed COVID-19 at 11 hospitals in Korea from July 1, 2021 to November 30, 2021 when the delta variant was a dominant strain. Patients’ electronic medical records were reviewed to identify clinical characteristics.ResultsDuring the study period, 448 patients were enrolled. One hundred and forty-two were aged 50 years or younger (the younger group), while 306 were above 50 years of age (the older group). The most common pre-existing conditions in the younger group were diabetes mellitus and hypertension, and 69.7% of the patients had a body mass index (BMI) > 25 kg/m². Of 142 younger patients, 31 of 142 patients (21.8%, 19 women) did not have these pre-existing conditions. The overall case fatality rate among severity cases was 21.0%, and it differed according to age: 5.6% (n = 8/142) in the younger group, 28.1% in the older group, and 38% in the ≥ 65 years group. Age (odds ratio [OR], 7.902; 95% confidence interval [CI], 2.754–18.181), mechanical ventilation therapy (OR, 17.233; 95% CI, 8.439–35.192), highest creatinine > 1.5 mg/dL (OR, 17.631; 95% CI, 8.321–37.357), and combined blood stream infection (OR, 7.092; 95% CI, 1.061–18.181) were identified as independent predictors of mortality in total patients. Similar patterns were observed in age-specific analyses, but most results were statistically insignificant in multivariate analysis due to the low number of deaths in the younger group. The full vaccination rate was very low among study population (13.6%), and only three patients were fully vaccinated, with none of the patients who died having been fully vaccinated in the younger group. Seven of eight patients who died had a pre-existing condition or were obese (BMI > 25 kg/m²), and the one remaining patient died from a secondary infection.ConclusionAbout 22% of the patients in the young critical group did not have an underlying disease or obesity, but the rate of obesity (BMI > 25 kg/m²) was high, with a fatality rate of 5.6%. The full vaccination rate was extremely low compared to the general population of the same age group, showing that non-vaccination has a grave impact on the progression of COVID-19 to a critical condition. The findings of this study highlight the need for measures to prevent critical progression of COVID-19, such as vaccinations and targeting young adults especially having risk factors.     

Prevalence and Related Risk Factors of Overweight and Obesity among the Adult Population in the Balearic Islands,a Mediterranean Region

ObjectiveTo assess the prevalence and risk factors of overweight (OW) and obesity (OB) by BMI and abdominal obesity (AO) by waist-to-height ratio, (WHtR) among the Balearic Islands'' adult population.MethodsCross-sectional nutritional survey carried out in the Balearic Islands (2009-2010). A random sample (n = 1,081) of young (18-35 years) and middle-aged adults (36-55 years) were interviewed and anthropometrically measured. OW (BMI 25.0-29.9 kg/m²) and OB (BMI ≥ 30 kg/m²) were defined according to WHO criteria. AO was defined as WHtR ≥ 0.5. Socio-economic and lifestyle determinants were considered.ResultsThe overall prevalence of OW/OB and AO was 29.4% (95% confidence interval (95% CI) 26.9-32.3%), 11.2% (95% CI 9.5-13.2%) and 33.1% (95% CI 30.4-36.0%), respectively. Men showed higher prevalence of OW (35.9%, 95% CI 31.6-40.5%) and AO (37.9%, 95% CI 33.6-42.5%) than women (OW 24.9%, 95% CI 21.7-28.4%; AO 29.7%, 95%CI 26.2-33.4%). Overall prevalence of OB was 11.8% (95% CI 9.1-15.1%) in men and 10.8% (95% CI 8.6-13.5%) in women. Age and no leisure-time physical activity (LTPA) were main risk factors associated with OW/OB and AO. Living with at least one child at home and to be married in men as well as to be unemployed, to be born in South America, and a low level of education in women were associated with AO.ConclusionsMen showed higher prevalence of OW and AO than women. In both sexes, age is the main risk factor associated with OW/OB and AO; in men also the absence of LTPA plays a significant role.Key Words: Overweight, Obesity, Abdominal obesity, Adults, Balearic Islands     

Longer Weekly Sleep Duration Predicts Greater 3-Month BMI Reduction among Obese Adolescents Attending a Clinical Multidisciplinary Weight Management Program

AimsTo determine whether baseline levels of self-reported sleep and sleep problems among obese adolescents referred to an outpatient multidisciplinary family-based weight management program predict reduction in BMI 3 months later.MethodsA retrospective medical chart review was conducted for 83 obese adolescents. The following baseline variables were extracted: self-reported sleep duration (weekdays and weekends), and presence of snoring, daytime fatigue, suspected sleep apnea, and physician-diagnosed sleep apnea. Anthropometric data at baseline and 3 months were also collected.ResultsOn average, adolescents reported significantly less sleeping on weeknights (7.7 ± 1.3 h) compared to weekend nights (10.0 ± 1.8 h), t(82) = 10.5, p = 0.0001. Reduction in BMI after 3 months of treatment was predicted by more weekly sleep at baseline (R² = 0.113, F(1, 80) = 10.2, p = 0.002). Adolescents who reduced their BMI by ≥1 kg/m² reported greater weekly sleep at baseline compared to adolescents who experienced <1 kg/m² reduction (60.7 ± 7.5 h vs. 56.4 ± 8.6 h; F(1, 80) = 5.7, p = 0.02).ConclusionFindings from this study, though correlational, raise the possibility that increased duration of sleep may be associated with weight loss among obese adolescents enrolled in a weight management program. Evidence-based behavioral techniques to improve sleep hygiene and increase sleep duration should be explored in pediatric weight management settings.Key Words: Obesity, Adolescent, Sleep, Weight loss, Treatment     

Visual identification of obesity by healthcare professionals: an experimental study of trainee and qualified GPs

Background

Guidelines suggest that GPs should intervene on patients’ weight, but to do so GPs must first recognise that a patient may have a weight problem and weigh them.

Aim

To examine whether GPs and trainee GPs can identify overweight and obese body weights by sight, and if this influences whether they would discuss weight with a potential patient.

Design and setting

Study of GPs and trainee GPs on the lists of the UK NHS Workforce West Midlands Deanery and NHS Sandwell and West Birmingham Clinical Commissioning Group.

Method

Participants viewed 15 standardised photographs of healthy-weight, overweight, and obese young males, and estimated their BMI, classified their weight status, and reported whether they would be likely to make a brief intervention for weight loss with that person.

Results

The sample of GPs and trainee GPs correctly classified a mean of 4.0/5.0 of the healthy weight males, a mean of 2.4/5.0 of the overweight, and a mean of 1.7/5.0 of the obese males. For each 1 kg/m² increase in actual BMI, participants underestimated BMI by −0.21 (95% CI = −0.22 to −0.18), meaning that participants would underestimate the BMI of a man of 30 kg/m² by approximately 2.5 kg/m², but were more accurate for lower body weights. Participants were more likely to intervene with those with a higher estimated BMI (OR 1.53, 95% CI = 1.49 to 1.58).

Conclusion

This sample of predominantly trainee GPs perceived overweight and obese weights as being of lower BMI and weight status than they actually are, and this was associated with a lower intention of discussing weight management with a potential patient. This was found to be true for trainee and fully qualified GPs who participated in the study. Healthcare professionals should not rely on visual judgements when identifying patients who may benefit from weight management treatment.     

Being Overweight or Obese Increases the Risk of Progression in Triple-Negative Breast Cancer after Surgical Resection

This study aimed to evaluate the association between body mass index (BMI) and progression in triple-negative breast cancer (TNBC). We retrospectively reviewed the medical records of 50 patients with TNBC who underwent breast-conserving surgery or mastectomy between 2007 and 2014. All patients were classified according to BMI (median 23.5 kg/m², range 17.2–31.6 kg/m²): 31 patients (62%) were classified as being overweight or obese (BMI ≥ 23 kg/m²) and 19 patients (38%) were classified as having a normal body weight (BMI < 23 kg/m²). The median follow-up for patients was 31.1 months (range, 6.7–101.9 months). Progression occurred in 7 patients (14%), including 5 ipsilateral breast tumor recurrences, 2 regional lymph node metastases, and 5 distant metastases. Progression was significantly correlated with overweight or obese patients (P = 0.035), while none of the normal weight patients showed progression. The 3-year disease-free survival (DFS) and overall survival (OS) rates were 85.0% and 87.7%, respectively. DFS was significantly reduced in overweight or obese patients compared to that in normal weight patients (P = 0.035). However, OS was not significantly compromised by being overweight or obese (P = 0.134). In conclusion, being overweight or obese negatively affects DFS in TNBC patients.     

Validation of a Strict Obesity Definition Proposed for Asians to Predict Adverse Pregnancy Outcomes in Korean Pregnant Women

BackgroundPeople are generally considered overweight and obese if their body mass index (BMI) is above 25 kg/m² and 30.0 kg/m², respectively. The World Health Organization proposed stricter criteria for Asians (≥ 23 kg/m²: overweight, ≥ 25 kg/m²: obese). We aimed to verify whether this criteria could predict adverse pregnancy outcomes in Korean women.MethodsWe included 7,547 Korean women from 12 institutions enrolled between June 2016 and October 2018. Women with no pre-pregnancy BMI data, not Korean, or lost to follow-up were excluded, leaving 6,331. The subjects were categorized into underweight, normal, overweight, class I obesity, and class II/III obesity based on a pre-pregnancy BMI of < 18.5, 18.5–22.9, 23.0–24.9, 25.0–29.9, and ≥ 30.0 kg/m², respectively.ResultsOverall, 13.4%, 63.0%, 11.8%, 9.1%, and 2.6% of women were underweight, normal, and overweight and had class I obesity and class II/III obesity, respectively. In the multivariable analysis adjusted for maternal age, a higher BMI significantly increased the risk of preeclampsia, gestational diabetes, preterm delivery caused by maternal-fetal indications, cesarean section, large for gestational age, and neonatal intensive care unit admission.ConclusionAdverse pregnancy outcomes started to increase in those with a pre-pregnancy BMI ≥ 23.0 kg/m² after adjusting for maternal age. The modified obesity criteria could help predict adverse pregnancy outcomes in Koreans.     

An Individual,Community-Based Treatment for Obese Children and Their Families: The Solution-Focused Approach

BackgroundThis study evaluates an individual, community-based treatment for obese children and their families. In this program, a treatment team applied solution-focused techniques to develop a custom-made treatment plan in collaboration with the participants. The treatment plan consisted of community-based lifestyle activities.Methods559 obese children with an average BMI z-score of 2.76 ± 0.54 took part in the 12-month study, and 372 children with an average BMI z-score of 2.75 ± 0.52 took part in the 24-month study. At the start of the study, ethnicity and special school needs were recorded. Before, after 12 months, and after 24 months of the treatment, body weight and height were measured. The effect of the treatment on body weight was evaluated using BMI z-scores.Results291 children (52%) completed 12 months of treatment, whereas 22 children (4%) were dismissed earlier due to a good response. After 12 months, the children showed a significant decrease in BMI z-score by 0.16 (95% confidence interval (CI) 0.11-0.20; p ℋ 0.005). After 24 months, 103 children (28%) were participating in the program, with a significant decrease in BMI z-score of 0.15 (95% CI 0.07-0.22; p ℋ 0.005). 50 children (13%) were dismissed before the end of the second year due to significant weight loss (standard deviation z-score reduction −0.38; 95% CI 0.30-0.46; p ℋ 0.005; with an average treatment duration of 12.9 ± 6.4 months). There was a negative correlation of age and reduction in BMI z-score: children younger than 6 years showed a decrease in BMI z-score of 0.45 (95% CI 0.26-0.65) and 0.31 (95% CI 0.11-0.53) after 12 and after 24 months, respectively.ConclusionsChildren showed a significant decrease in BMI z-score after the treatment. We found a negative correlation of age and weight loss. Special attention to patients with a high risk of drop-out might further improve these results. We advise a referral to obesity treatment as early as possible since a ‘wait and see’ policy might have adverse results in obese children.Key Words: Obesity, Obesity therapy, Children, Solution-focused therapy, Community-based treatment     

Increased Predictive Ability of BMI but not Other Risk Factors with Time in Men: 39-Year Follow-Up of Total Mortality in the Oslo Study

ObjectiveRisk factor associations to mortality may change, in part due to removal of high-risk persons. We compared strengths of association and ability of risk factors to predict total mortality across short (<15 years), medium (15-29 years) and long (30-39 years) follow-up.MethodsCardiovascular risk factors were measured in 1972-1973 in the Oslo Study among 14,846 men born in 1923-1932. Relationships of risk factors to mortality (to 2011) were analyzed using Cox regression models, and receiver operating characteristics (ROC) were estimated.ResultsBMI was the only factor that increased strength of association with elapsed time (hazard ratio for ≥35 kg/m² vs. 22.5-24.9 kg/m²: 1.25 (95% CI 0.73-2.17), 1.51 (95% CI 1.06-2.16) and 3.73 (95% CI 2.33-5.98) for <15, 15-29 and 30-39 years, respectively). Other factors lost predictive ability with time. Cigarette smoking was the strongest predictor in all periods. Serum lipids and systolic blood pressure increased risk in most periods, and moderate physical activity was protective to 29 years, but these factors and BMI contributed minimally to ROC.DiscussionRisk factors differed in association strengths and ability to predict mortality over four decades. BMI strengthened its association with time, while cigarette smoking was strongest in all periods.Key Words: BMI, Blood pressure, Cholesterol, Lipids, Mortality, Oslo Study, Physical activity, Smoking     

Left Ventricular Hypertrophy and Asymptomatic Cardiac Function Impairment in Chinese Patients with Simple Obesity using Echocardiography

BackgroundSimple obesity in China is rising rapidly and causing increasing concern. The objectives of our study are to investigate cardiac structure and function in individuals with simple obesity and to analyze the effect of BMI on left ventricular structure and function.MethodsBetween January 2012 and July 2014, echocardiography was performed in 361 consecutive patients visiting the outpatient echocardiography center for a health examination or cardiac evaluation before a weight loss operation in our hospital. Echocardiographic indices, waist-to-hip ratios, BMI, and metabolic markers were evaluated. We analyzed these data using Student''s t test (normally distributed) or a nonparametric test (not normally distributed) for continuous variables and chi-square test for categorical variables. Multivariate correlation and regression analysis were conducted for comparisons.ResultsThe study sample was divided into three groups: a normal/overweight group (BMI < 28.0 kg/m²), a mildly/moderately obese group (BMI 28-39.9 kg/m²), and a severely obese group (BMI ≥ 40 kg/m²). There were no significant differences in clinical and laboratory characteristics among the groups, except for BMI and waist-to-hip ratio. The severely obese group had a higher left ventricular end diastolic diameter (LVEDD; p < 0.01) and lower left ventricular ejection fraction (LVEF; p < 0.01) than the mildly/moderately obese group, which had a higher LVEDD and LV mass index (LVMI) than the normal/overweight group. BMI correlated well with LVEDD, left ventricular posterior wall thickness at end-diastole (LVPW), LV mass, LVMI, and E/e’. In addition, age was significantly associated with some echocardiographic parameters, including left atrial dimension (r = 0.366, p < 0.01), LVPW (r = 0.347, p < 0.01), interventricular septal thickness at end- diastole (r = 0.351, p< 0.01), and E/A (r = −0.47, p < 0.01).ConclusionsSimple obesity caused cardiac structural changes, including LV hypertrophy and LV enlargement, and severe obesity resulted in asymptomatic LV systolic and diastolic function impairment.Key Words: Obesity, Body mass index, Echocardiography, Tissue Doppler imaging, Left ventricular function     

On the way to universal coverage of maternal services in Iringa rural District in Tanzania. Who is yet to be reached?

BackgroundStrategies to tackle maternal mortality in sub-Saharan Africa include expanding coverage of reproductive services. Even where high, more vulnerable women may not access services. No data is available on high coverage determinants. We investigated this in Tanzania in a predicted high utilization area.MethodsData was collected through a household survey of 464 women with a recent delivery. Primary outcomes were facility delivery and ≥4 ANC visits. Determinants were analysed using multivariate regression.ResultsAlmost all women had attended ANC, though only 58.3% had ≥4 visits. ≥4 visits were more likely in the youngest age group (OR 2.7 95% CI 1.32–5.49, p=0.008), and in early ANC attenders (OR 3.2 95% CI 2.04–4.90, p<0.001). Facility delivery was greater than expected (87.7%), more likely in more educated women (OR 2.7 95% CI 1.50–4.75, p=0.002), in those within 5 kilometers of a facility (OR 3.2 95% CI 1.59–6.48, p=0.002), and for early ANC attenders (OR 2.4 95% CI 1.20–4.91, p=0.02).ConclusionRural contexts can achieve high facility delivery coverage. Based on our findings, strategies to reach women yet unserved should include promotion of early ANC start particularly for the less educated, and improvement of distant communities'' access to facilities.     

Triglycerides Mediate Body Mass Index and Nonalcoholic Fatty Liver Disease: A Population-Based Study

IntroductionNonalcoholic fatty liver disease (NAFLD) is defined by the accumulation of triglycerides (TG). The body mass index (BMI) is associated with NAFLD. This large-scale cohort study was performed to evaluate and quantify the mediating effect of TG on the association between BMI and NAFLD.MethodsIn total, 15,943 participants in the Kailuan Group were recruited between 2010 and 2014. The impact of TG on the association between BMI and NAFLD was determined through a mediation analysis.ResultsBMI was an independent risk factor for incident NAFLD, with OR of 1.416 (95% CI 1.338–1.499) and 1.187 (95% CI 1.137–1.240) in the low-BMI and high-BMI groups, respectively (p < 0.001). The TG level was a risk factor for NAFLD in the high-BMI group, with an OR of 2.775 (95% CI 1.488–5.177; p = 0.001). Positive associations between BMI and the TG level remained in the 2 above mentioned groups after adjusting for confounders (β = 0.072 and 0.032; p < 0.001). The mediation analysis revealed that TG contributed to 26.050% of incident NAFLD in the high-BMI group (p = 0.01).ConclusionA high BMI was an independent risk factor for incident NAFLD, and a high TG level was a risk factor in the high-BMI group (BMI ≥24). TG contributes about 25% to incident NAFLD in people with obesity.     

Lifestyle and Risk of Hypertension: Follow-Up of a Young Pre-Hypertensive Cohort

Objectives: To determine whether healthy lifestyle decreases the risk of developing hypertension in pre-hypertensive patients.Study design: A longitudinal study.Setting & participants: Randomly selected pre-hypertensive young adults 20-45 years old without any vascular disease such as stroke or diabetes.Predictors: Four lifestyle factors (a body mass index [BMI] of 18.5-24.9 kg/m², regular physical activity, no alcohol use and 6-8 h of sleep per day), individually and in combination.Outcomes: Hypertension was defined as a systolic blood pressure (SBP) ≥ 140 mmHg, or a diastolic BP (DBP) ≥ 90 mmHg or self-reported hypertension.Measurements: Multivariate adjusted Cox proportional hazards.Results: During a median follow-up of 4.7 years, 1009 patients were enrolled in our study, and 182 patients developed hypertension. Compared with a BMI of 18.5-24.9 kg/m², a BMI of 25-30 kg/m² and a BMI of >30 kg/m² were associated with an increased risk of hypertension occurrence (hazard ratio [HR], 1.83; 95% confidence interval [CI], 1.19-2.84 and HR, 2.62; 95% CI, 1.01-6.80, respectively). Compared with sleep duration of >8 h/day, 6-8 h/day of sleep was associated with a lower risk of hypertension occurrence (HR, 0.40; 95% CI, 0.18-0.86). There were no statistically significant associations between physical activity or alcohol use and hypertension occurrence (P>0.05).Limitation: All lifestyle factors were measured only once.Conclusion: Healthy BMI (18.5-24.9 kg/m²) and sleep duration (6-8 h/day) were associated with a lower risk of the occurrence of hypertension in pre-hypertension patients.     

Obesity and outcomes in patients hospitalized with pneumonia

Studies suggest obesity is paradoxically associated with better outcomes for patients with pneumonia. Therefore, we examined the impact of obesity on short-term mortality in patients hospitalized with pneumonia. For 2 years clinical and radiographic data were prospectively collected on all consecutive adults admitted with pneumonia to six hospitals in Edmonton, Alberta, Canada. We identified 907 patients who also had body mass index (BMI, kg/m²) collected and categorized them as underweight (BMI < 18.5), normal (18.5 to <25), overweight (25 to <30) and obese (>30). Overall, 65% were >65 years, 52% were female, and 15% reported recent weight loss. Eighty-four (9%) were underweight, 358 (39%) normal, 228 (25%) overweight, and 237 (26%) obese. Two-thirds had severe pneumonia (63% PSI Class IV/V) and 79 (9%) patients died. In-hospital mortality was greatest among those that were underweight (12 [14%]) compared with normal (36 [10%]), overweight (21 [9%]) or obese (10 [4%], p <0.001 for trend). Compared with those of normal weight, obese patients had significantly lower rates of in-hospital mortality in multivariable logistic regression analyses: adjusted odds ratio (OR), 0.46; 95% CI, 0.22–0.97; p 0.04. However, compared with patients with normal weight, neither underweight (adjusted OR, 1.13; 95% CI, 0.54–2.4; p 0.7) nor overweight (adjusted OR, 0.94; 95% CI, 0.52–1.69; p 0.8) were associated with in-hospital mortality. In conclusion, in patients hospitalized with pneumonia, obesity was independently associated with lower short-term mortality, while neither being underweight nor overweight were. This suggests a protective influence of BMIs > 30 kg/m² that requires better mechanistic understanding.     

Associations of Sleep Duration and Screen Time with Incidence of Overweight in European Children: The IDEFICS/I.Family Cohort

IntroductionOver the past decades, children have been increasingly using screen devices, while at the same time their sleep duration has decreased. Both behaviors have been associated with excess weight, and it is possible they act as mutually reinforcing behaviors for weight gain. The aim of the study was to explore independent, prospective associations of screen time and sleep duration with incident overweight in a sample of European children.MethodsData from 4,285 children of the IDEFICS/I.Family cohort who were followed up from 2009/2010 to 2013/2014 were analyzed. Hours per day of screen time and of sleep duration were reported by parents at baseline. Logistic regression analyses were carried out in separate and mutually adjusted models controlled for sex, age, European country region, parental level of education, and baseline BMI z-scores.ResultsAmong normal weight children at baseline (N = 3,734), separate models suggest that every hour increase in screen time and every hour decrease in sleep duration were associated with higher odds of the child becoming overweight or obese at follow-up (OR = 1.16, 95% CI: 1.02–1.32 and OR = 1.23, 95% CI: 1.05–1.43, respectively). In the mutually adjusted model, both associations were attenuated slightly (screen time OR = 1.13, 95% CI: 0.99–1.28; sleep duration OR = 1.20, 95% CI: 1.03–1.40), being consistently somewhat stronger for sleep duration.Discussion/ConclusionBoth screen time and sleep duration increased the incidence of overweight or obesity by 13–20%. Interventions that include an emphasis on adequate sleep and minimal screen time are needed to establish their causal role in the prevention of overweight and obesity among European children.