Factors Associated With Weight Change in Online Weight Management Communities: A Case Study in the LoseIt Reddit Community.

BACKGROUND: Recent research has shown that of the 72% of American Internet users who have looked for health information online, 22% have searched for help to lose or control weight. This demand for information has given rise to many online weight management communities, where users support one another throughout their weight loss process. Whether and how user engagement in online communities relates to weight change is not totally understood. OBJECTIVE: We investigated the activity behavior and analyze the semantic content of the messages of active users in LoseIt (r/loseit), a weight management community of the online social network Reddit. We then explored whether these features are associated with weight loss in this online social network. METHODS: A data collection tool was used to collect English posts, comments, and other public metadata of active users (ie, users with at least one post or comment) on LoseIt from August 2010 to November 2014. Analyses of frequency and intensity of user interaction in the community were performed together with a semantic analysis of the messages, done by a latent Dirichlet allocation method. The association between weight loss and online user activity patterns, the semantics of the messages, and real-world variables was found by a linear regression model using 30-day weight change as the dependent variable. RESULTS: We collected posts and comments of 107,886 unique users. Among these, 101,003 (93.62%) wrote at least one comment and 38,981 (36.13%) wrote at least one post. Median percentage of days online was 3.81 (IQR 9.51). The 10 most-discussed semantic topics on posts were related to healthy food, clothing, calorie counting, workouts, looks, habits, support, and unhealthy food. In the subset of 754 users who had gender, age, and 30-day weight change data available, women were predominant and 92.9% (701/754) lost weight. Female gender, body mass index (BMI) at baseline, high levels of online activity, the number of upvotes received per post, and topics discussed within the community were independently associated with weight change. CONCLUSIONS: Our findings suggest that among active users of a weight management community, self-declaration of higher BMI levels (which may represent greater dissatisfaction with excess weight), high online activity, and engagement in discussions that might provide social support are associated with greater weight loss. These findings have the potential to aid health professionals to assist patients in online interventions by focusing efforts on increasing engagement and/or starting discussions on topics of higher impact on weight change.

Association between TSH levels within the reference range and adiposity markers at the baseline of the ELSA-Brasil study.

BACKGROUND: The association of thyrotropin (TSH) with overall (body mass index, BMI), visceral (waist circumference and steatosis), and upper subcutaneous (neck circumference, NC) adiposity markers is still controversial, and the aim of this study is to assess these associations in the baseline data of a large cohort from ELSA-Brasil. METHODS AND FINDINGS: This cross-sectional study included 11,224 participants with normal thyroid function (normal TSH levels). BMI, waist circumference, NC and steatosis, defined by hepatic attenuation (mild or moderate/severe) were the explicative variables. TSH levels were log transformed (logTSH), and multivariate linear regression models were generated to estimate the associations between logTSH and BMI (continuous and categorized), waist circumference, NC, and steatosis after adjusting for sociodemographic characteristics, health behaviors, and comorbidities. The mean age was 51.5±8.9 years, 5,793 (51.6%) participants were women, 21.8% (n = 2,444) were obese, and 15.1% of the sample was TPOAb positive. The TSH levels were significantly higher in the obese group than in the reference group (<25.0 kg/m2). In the multivariable linear regression models, significant associations of logTSH with BMI and obesity were found. LogTSH was associated with waist circumference only among women. NC and steatosis were not related to TSH levels. CONCLUSIONS: TSH levels were associated with overall adiposity and obesity. Further studies may elucidate reference levels of TSH according to BMI status.

Homeostasis model assessment of insulin resistance (HOMA-IR) and metabolic syndrome at baseline of a multicentric Brazilian cohort: ELSA-Brasil study.

Homeostasis model assessment of insulin resistance (HOMA-IR) is a method to measure insulin resistance. HOMA-IR cut-offs for identifying metabolic syndrome might vary across populations and body mass index (BMI) levels. We aimed to investigate HOMA-insulin resistance cut-offs that best discriminate individuals with insulin resistance and with metabolic syndrome for each BMI category in a large sample of adults without diabetes in the baseline of the Brazilian Longitudinal Study of Adult Health (ELSA-Brasil). Among the 12,313 participants with mean age of 51.2 (SD 8.9) years, the prevalence of metabolic syndrome was 34.6%, and 60.1% had overweight or obesity. The prevalence of metabolic syndrome among normal weight, overweight and obesity categories were, respectively, 13%, 43.2% and 60.7%. The point of maximum combined sensitivity and specificity of HOMA-IR to discriminate the metabolic syndrome was 2.35 in the whole sample, with increasing values at higher BMI categories. This investigation contributes to better understanding HOMA-IR values associated with insulin resistance and metabolic syndrome in a large Brazilian adult sample, and that use of cut-off points according to ROC curve may be the better strategy. It also suggests that different values might be appropriate across BMI categories.

Factors associated with metabolically healthy status in obesity, overweight, and normal weight at baseline of ELSA-Brasil.

The primary aim of this study was to evaluate metabolically healthy status (MHS) among participants in obesity, overweight, and normal weight groups and characteristics associated with this phenotype using baseline data of Brazilian Longitudinal Study of Adult Health (ELSA-Brasil). The secondary aim was to investigate agreement among 4 different MHS criteria. This cross-sectional study included 14,545 participants aged 35 to 74 years with a small majority (54.1%) being women. Of all participants, 22.7% (n = 3298) were obese, 40.8% (n = 5934) were overweight, and 37.5% (n = 5313) were of normal weight.Socio-demographic, behavioral, and anthropometric factors related to MHS were ascertained. Logistic regression models estimated the odds of associations. We used 4 different criteria separately and in combination to define MHS: the National Health and Nutrition Examination Survey (NHANES), the National Cholesterol Education Program (NCEP-ATPIII), the International Diabetes Federation (IDF) and comorbidities, and the agreement between them were evaluated by Cohen-kappa coefficient.MHS was present among 12.0% (n = 396) of obese, 25.5% (n = 1514) of overweight, and 48.6% (n = 2582) of normal weight participants according to the combination of the 4 criteria. The agreement between all the 4 MHS criteria was strong (kappa 0.73 P < 0.001). In final logistic models, MHS was associated with lower age, female sex, lower body mass index (BMI), and weight change from age 20 within all BMI categories.This study showed that, despite differences in prevalence among the 4 criteria, MHS was associated with common characteristics at every BMI category.

Homeostasis model assessment of insulin resistance (HOMA-IR) and metabolic syndrome at baseline of a multicentric Brazilian cohort: ELSA-Brasil study / Modelo de avaliação da homeostase de resistência à insulina (HOMA-IR) e síndrome metabólica na linha de base de uma coorte brasileira multicêntrica: estudo ELSA-Brasil / Modelo homeostático para evaluar la resistencia a la insulina (HOMA-IR) y síndrome metabólico en la línea de base de una cohorte brasileña multicéntrica: estudio ELSA-Brasil

Abstract: Homeostasis model assessment of insulin resistance (HOMA-IR) is a method to measure insulin resistance. HOMA-IR cut-offs for identifying metabolic syndrome might vary across populations and body mass index (BMI) levels. We aimed to investigate HOMA-insulin resistance cut-offs that best discriminate individuals with insulin resistance and with metabolic syndrome for each BMI category in a large sample of adults without diabetes in the baseline of the Brazilian Longitudinal Study of Adult Health (ELSA-Brasil). Among the 12,313 participants with mean age of 51.2 (SD 8.9) years, the prevalence of metabolic syndrome was 34.6%, and 60.1% had overweight or obesity. The prevalence of metabolic syndrome among normal weight, overweight and obesity categories were, respectively, 13%, 43.2% and 60.7%. The point of maximum combined sensitivity and specificity of HOMA-IR to discriminate the metabolic syndrome was 2.35 in the whole sample, with increasing values at higher BMI categories. This investigation contributes to better understanding HOMA-IR values associated with insulin resistance and metabolic syndrome in a large Brazilian adult sample, and that use of cut-off points according to ROC curve may be the better strategy. It also suggests that different values might be appropriate across BMI categories.

Resumo: O modelo de avaliação da homeostase da resistência à insulina (HOMA-IR) é um método para medir a resistência à insulina. Os pontos de corte do HOMA-IR para identificar a síndrome metabólica podem variar entre as populações e os níveis de índice de massa corporal (IMC). Nosso objetivo foi investigar os pontos de corte do HOMA-IR que melhor discriminam indivíduos com resistência à insulina e com síndrome metabólica para cada categoria de IMC em uma grande amostra de adultos sem diabetes na linha de base do Estudo Longitudinal de Saúde do Adulto (ELSA-Brasil). Entre os 12.313 participantes com média de idade de 51,2 (DP 8,9) anos, a prevalência de síndrome metabólica foi de 34,6%, e 60,1% apresentavam sobrepeso ou obesidade. As prevalências de síndrome metabólica nas categorias de peso normal, sobrepeso e obesidade foram, respectivamente, 13%, 43,2% e 60,7%. O ponto de máxima sensibilidade e especificidade combinadas do HOMA-IR para discriminar a síndrome metabólica foi de 2,35 em toda a amostra, com valores crescentes nas categorias de IMC mais elevadas. Esta investigação contribui para o melhor entendimento dos valores de HOMA-IR associados à resistência à insulina e síndrome metabólica em uma grande amostra de adultos brasileiros, e que o uso de pontos de corte de acordo com a curva ROC pode ser a melhor estratégia. Também sugere que valores diferentes podem ser apropriados nas categorias de IMC.

Resumen: El modelo homeostático para evaluar la resistencia a la insulina (HOMA-IR) es un método para medir la resistencia a la insulina. Los cortes HOMA-IR para identificar el síndrome metabólico pueden variar entre las poblaciones y los niveles del índice de masa corporal (IMC). El objetivo fue investigar los cortes de HOMA-IR que mejor discriminaban individuos con resistencia a la insulina y con síndrome metabólico para cada categoría de IMC, en una extensa muestra de adultos sin diabetes en la base de referencia del Estudio Longitudinal de Salud del Adulto (ELSA-Brasil). Entre los 12.313 participantes con una media de edad de 51,2 años (DE 8,9), la prevalencia de síndrome metabólico fue 34,6%, y un 60,1% sufría sobrepeso u obesidad. La prevalencia de síndrome metabólico entre las categorías: peso normal, sobrepeso y obesidad fueron respectivamente, 13%, 43,2% y 60,7%. El punto de máxima sensibilidad combinada y especificidad de HOMA-IR para discriminar el síndrome metabólico fue 2,35 en toda la muestra, con valores crecientes en las categorías de IMC más altas. Esta investigación contribuye a entender mejor los valores HOMA-IR, asociados con resistencia a la insulina y síndrome metabólico en una gran muestra de adultos brasileños, además del planteamiento de que el uso de puntos de corte según la curva ROC es quizás la mejor estrategia a seguir. También sugiere que valores diferentes pueden ser apropiados a través de las categorías de IMC.

Homeostasis model assessment of insulin resistance (HOMA-IR) and metabolic syndrome at baseline of a multicentric Brazilian cohort: ELSA-Brasil study / Modelo de avaliação da homeostase de resistência à insulina (HOMA-IR) e síndrome metabólica na linha de base de uma coorte brasileira multicêntrica: estudo ELSA-Brasil

O modelo de avaliação da homeostase da resistência à insulina (HOMA-IR) é um método para medir a resistência à insulina. Os pontos de corte do HOMA-IR para identificar a síndrome metabólica podem variar entre as populações e os níveis de índice de massa corporal (IMC). Nosso objetivo foi investigar os pontos de corte do HOMA-IR que melhor discriminam indivíduos com resistência à insulina e com síndrome metabólica para cada categoria de IMC em uma grande amostra de adultos sem diabetes na linha de base do Estudo Longitudinal de Saúde do Adulto (ELSA-Brasil). Entre os 12.313 participantes com média de idade de 51,2 (DP 8,9) anos, a prevalência de síndrome metabólica foi de 34,6%, e 60,1% apresentavam sobrepeso ou obesidade. As prevalências de síndrome metabólica nas categorias de peso normal, sobrepeso e obesidade foram, respectivamente, 13%, 43,2% e 60,7%. O ponto de máxima sensibilidade e especificidade combinadas do HOMA-IR para discriminar a síndrome metabólica foi de 2,35 em toda a amostra, com valores crescentes nas categorias de IMC mais elevadas. Esta investigação contribui para o melhor entendimento dos valores de HOMA-IR associados à resistência à insulina e síndrome metabólica em uma grande amostra de adultos brasileiros, e que o uso de pontos de corte de acordo com a curva ROC pode ser a melhor estratégia. Também sugere que valores diferentes podem ser apropriados nas categorias de IMC.

Outcomes in glycemic control in the intermediate follow-up of Roux-en-Y gastric bypass: a Brazilian cohort study.

BACKGROUND: It is not widely known whether glycemic control (GC) is sustained after Roux-en-Y gastric bypass (RYGB). The objective of this study was to investigate incidence and remission of type 2 diabetes mellitus (T2DM) among 284 individuals with body mass index (BMI)≥35 kg/m(2) at operation (1998-2011) through 2013. METHODS: Baseline GC was based on fasting glycemia (FG), hemoglobin A1c (HbA1c), and medication. Incident T2DM, complete (normal GC/HbA1c) and partial (abnormal FG/A1c) remission at the last follow-up visit, and relapse were the outcomes of interest. Kaplan-Meier curves and log-rank tests were used to compare time to improvement according to insulin use and HbA1c levels at baseline. Pre- and postoperative determinants of T2DM improvement were investigated by logistic regression. RESULTS: Participants were predominantly female (220; 77.2%) with mean age of 39.6 (10.5) years and median BMI of 51.9 (46.1-57.5) kg/m(2) at operation. The mean follow-up time was 5.1 (3.2) years with 67.5% (55.0-78.4) of excess BMI loss (EBL) at the 5(th) year. Normal GC, abnormal FG, and T2DM were observed in 169 (59.5%), 32 (11.2%), and 83 (29.3%) participants at baseline, respectively. The 7 (4.1%) patients with incident T2DM had lower BMI at baseline than those who remained with normal GC (43.6 kg/m(2) [42.0-50.8] versus 52.1 kg/m(2) [46.7-57.7]; P = .01). Complete and partial T2DM remission occurred in 61 (61.3%) and 5 (6.7%) participants, respectively. Baseline HbA1c was associated with a significant difference in the proportion of cases with remission at the 5(th) year of follow-up (P = .016). Age (OR .83; 95% CI .72-.95) and % EBL at the 2(nd) year of follow-up (OR 1.05; 95% CI 1.01-1.09) were independent determinants of T2DM improvement. Relapse occurred in 14 (14.3%) cases. CONCLUSION: We observed a low incidence and impressive improvement rates of T2DM after intermediate follow-up of RYGB.