The effect of alcohol consumption on later obesity in early adulthood--a population-based longitudinal study

Consumo de bebidas alcoólicas e obesidade abdominal: resultados da linha de base do ELSA-Brasil

Resumo Objetivou-se analisar a associação entre consumo de bebidas alcoólicas e adiposidade abdominal em adultos. Estudo transversal realizado com dados da linha de base do ELSA-Brasil (2008-2010). A amostra foi constituída por 15.065 servidores públicos de seis instituições de ensino e pesquisa (35 a 74 anos, ambos os sexos). Para identificar adiposidade central por meio das medidas de circunferência da cintura (CC) e relação cintura/quadril (RCQ), utilizou-se os pontos de corte preconizados pela Organização Mundial da Saúde. Para as análises estatísticas foi utilizado o teste qui-quadrado e modelos de regressão de Poisson ajustados por variáveis potencialmente confundidoras. Cerca de 40% da amostra apresentava CC e RCQ elevadas. A probabilidade de apresentar CC elevada foi 5% e 3% maior no grupo mais exposto de consumo de cerveja em homens e mulheres quando comparado ao grupo de referência [RP = 1,05 (IC 95% 1,02-1,08) e RP = 1,03 (IC 95% 1,00-1,07)]. Também foi encontrada maior probabilidade de apresentar RCQ elevada entre os maiores consumidores de cerveja [RP = 1,03 (IC 95% 1,00-1,07) em homens e RP=1,10 (IC 95% 1,04-1,15) em mulheres]. Maior número de doses/semana de bebida alcoólica aumentou a probabilidade de ocorrência de CC e RCQ elevadas, sendo mais importante a contribuição da cerveja.

Prevalence of general and abdominal obesity and its relationship with opium, total opiate drugs, and chronic smoking: Fasa cohort study

BACKGROUND AND AIMS

Obesity and drug use are two major global issues today. This study aimed to evaluate the relationship between alcohol and tobacco use with general and central obesity.

METHODS

The data of the longitudinal population-based study were collected from the basis of the Fasa Cohort Study (FACS). Participants were 10141 people with 35-70 years old. Data were analyzed by SPSS 20 software. Binary logistic regression (BLR) was used for modelling. A significance level (α) less than 0.05% was considered for hypothesis testing.

RESULTS

Of the total participants (N = 10104), 54.8% (n = 5539) were women. The prevalence of central obesity in terms of waist circumference (WC), waist to hip ratio (WHR), and waist to height ratio (WHtR) were calculated 48.20% (N = 4871), 79.50% (N = 8032), and 83.30% (N = 8314). The Odds Ratio (OR) adjusted of Abnormal body mass index (BMI) for Opium and chronic smoking were 0.54 (CI: 0.47-0.63) and 0.47 (CI:0.40-0.56). OR adjusted Abnormal WC for opium and chronic smoking were calculated 0.65 (CI: 0.53-0.80) and 0.57 (CI:0.46-0.72), respectively. Three variables of opium (OR = 0.54, CI: 0.46-0.64), total opiate drugs (OR = 1.46, CI:1.16-1.83) and chronic smoking (OR = 0.58, CI: 0.48-0.70) remained in the modeling for Abnormal WHR. Which were statistically significant.

CONCLUSION

Significant and inverse relationships were found between obesity and opium, total opiate drugs, and chronic smoking.

Adolescent wine consumption is inversely associated with long-term weight gain: results from follow-up of 20 or 22 years

Background

Several studies have suggested a link between the type of alcoholic beverage consumption and body weight. However, results from longitudinal studies have been inconsistent, and the association between adolescent alcohol consumption long-term weight gain has generally not been examined.

Methods

The study was based on data from 720 Danish adolescents aged between 15 to 19 years at baseline from the Danish Youth and Sports Study (YSS). Self-reported alcohol use, height, weight, smoking, social economic status (SES) and physical activity levels were assessed in baseline surveys conducted in 1983 and 1985, and in the follow up survey which was conducted in 2005. Multiple linear regression analyses were used to examine the association between alcohol consumption in adolescence and subsequent weight gain later in midlife.

Results

There was no significant association between total alcohol consumption during adolescence and change in BMI into midlife (P = 0.079) (β − 0.14; 95% CI -0.28, 0.005). Wine consumption was found to be inversely associated to subsequent BMI gain (P = 0.001) (β − 0.46; 95% CI -0.82, − 0.09) while the results were not significant for beer and spirit. The relationship did not differ by gender, but smoking status was found to modify the relationship, and the inverse association between alcohol and BMI gain was seen only among non-smokers (P = 0.01) (β − 0.24; 95% CI -0.41, − 0.06) while no association was found among smokers. Neither adolescent nor attained socioeconomic status in adulthood modified the relationship between alcohol intake and subsequent BMI gain.

Conclusion

Among non-smoking adolescents, consumption of alcohol, and in particular wine, seems to be associated with less weight gain until midlife.

Trial registration

The YSS cohort was retrospectively registered on August 2017. (Study ID number: NCT03244150).

Electronic supplementary material

The online version of this article (10.1186/s12937-019-0478-7) contains supplementary material, which is available to authorized users.

Structural equation modeling to identify the risk factors of diabetes in the adult population of North India

Background

A non-communicable disease risk factor survey (based on World Health Organization STEP approach to Surveillance, i.e., WHO-STEPS) was done in the state of Punjab, India in a multistage stratified sample of 5127 individuals. The study subjects were administered the WHO STEPS questionnaire and also underwent anthropometric and biochemical measurements. This study aimed at exploring the risk factors of diabetes using a Structural Equation Modeling (SEM) approach in the North Indian state of Punjab.

Results

Overall prevalence of diabetes mellitus among the study participants was found out to be 8.3% (95% CI 7.3-9.4%). The final SEM had excellent fit considering the model parameters. The following risk factors deemed to have a direct statistically significant effect on blood sugar status: family history of diabetes (4.5), urban residence (3.1), triglycerides (0.46), increasing waist circumference (0.18), systolic blood pressure (0.11), and increasing age (0.05). There are specific indirect effects of alcohol use (1.43, p = 0.001), family h/o diabetes (0.844, p = 0.001), age (0.156, p < 0.001), waist circumference (0.028, p = < 0.001) and weekly fruit intake (- 0.009, p = 0.034) on fasting blood glucose. Indirect effects of waist circumference, alcohol intake and age on blood sugar levels are mediated by raised blood pressure. Waist circumference mediates the indirect effects of age, family h/o of diabetes, alcohol intake and weekly fruit intake on blood sugar levels. Triglycerides also mediated the indirect effects between age and diabetes.

Conclusions

Family history of diabetes, urban residence, alcohol use, increasing age, and waist circumference are the key variables affecting diabetes status in the Indian population. The results of this study further strengthens the evidence that lifestyle changes in the form of physical activity and healthy diet are required to prevent and control diabetes. Those with family h/o diabetes constitute a high risk group and should be targeted with regular screening and lifestyle intervention package.

Heavy Drinking in Young Adulthood Increases Risk of Transitioning to Obesity

INTRODUCTION

Heavy episodic alcohol use during young adulthood may contribute to excess weight gain and transition from healthy weight to overweight/obesity. This study is the first to evaluate the association between heavy episodic drinking during early adulthood and transition to overweight/obese status 5 years later using data from the U.S. National Longitudinal Study of Adolescent to Adult Health.

METHODS

The study used data from Waves III and IV, when participants were aged 18-26 and 24-32 years, respectively. The final sample consisted of 7,941 participants with measured height/weight who reported ever drinking alcohol. Multinomial logistic regression models tested the association between heavy episodic drinking and risk of transitioning to an unhealthy weight class.

RESULTS

Heavy episodic drinking was associated with 41% higher risk of transitioning from normal weight to overweight (relative risk ratio, 1.41; 95% CI=1.13, 1.74; p=0.002) and 36% higher risk of transitioning from overweight to obese by Wave IV (relative risk ratio, 1.36; 95% CI=1.09, 1.71; p=0.008), compared with individuals not drinking heavily, while accounting for covariates. Heavy episodic drinking was associated with 35% higher risk of maintaining obesity (relative risk ratio, 1.35; CI=1.06, 1.72; p=0.016) and gaining excess weight (OR=1.20, 95% CI=1.03, 1.39, p=0.02).

CONCLUSIONS

Regular heavy episodic drinking in young adulthood is associated with higher risk of gaining excess weight and transitioning to overweight/obesity. Obesity prevention efforts should address heavy drinking as it relates to caloric content and risk of transitioning to an unhealthy weight class.

Post-bariatric surgery weight regain: evaluation of nutritional profile of candidate patients for endoscopic argon plasma coagulation

BACKGROUND

Bariatric surgery is effective treatment for weight loss, but demand continuous nutritional care and physical activity. They regain weight happens with inadequate diets, physical inactivity and high alcohol consumption.

AIM

To investigate in patients undergoing Roux-Y-of gastroplasty weight regain, nutritional deficiencies, candidates for the treatment with endoscopic argon plasma, the diameter of the gastrojejunostomy and the size of the gastric pouch at the time of treatment with plasma.

METHODS

A prospective 59 patients non-randomized study with no control group undergoing gastroplasty with recurrence of weight and candidates for the endoscopic procedure of argon plasma was realized. The surgical evaluation consisted of investigation of complications in the digestive system and verification of the increased diameter of the gastrojejunostomy. Nutritional evaluation was based on body mass index at the time of operation, in the minimum BMI achieved after and in which BMI was when making the procedure with plasma. The laboratory tests included hemoglobin, erythrocyte volume, ferritin, vitamin D, B12, iron, calcium, zinc and serum albumin. Clinical analysis was based on scheduled follow-up.

RESULTS

Of the 59 selected, five were men and 51 women; were included 49 people (four men and 44 women) with all the complete data. The exclusion was due to the lack of some of the laboratory tests. Of this total 19 patients (38.7%) had a restrictive ring, while 30 (61.2%) did not. Iron deficiency anemia was common; 30 patients (61.2%) were below 30 with ferritin (unit); 35 (71.4%) with vitamin B12 were below 300 pg/ml; vitamin D3 deficiency occurred in more than 90%; there were no cases of deficiency of protein, calcium and zinc; glucose levels were above 99 mg/dl in three patients (6.12%). Clinically all had complaints of labile memory, irritability and poor concentration. All reported that they stopped treatment with the multidisciplinary team in the first year after the operation.

CONCLUSION

The profile of patients submitted to argon plasma procedure was: anastomosis in average with 27 mm; multiple nutritional deficiencies with predominance of iron deficiency anemia; ferritin below 30; vitamin B12 levels below 300 pg/ml; labile memory complaints, irritability and poor concentration.

Alcohol Consumption and Obesity: An Update

Recreational alcohol intake is a widespread activity globally and alcohol energy (7 kcal/g) can be a contributing factor to weight gain if not compensated for. Given that both excessive alcohol intake and obesity are of public health interest, the present paper provides an update on the association between alcohol consumption and body weight. In general, recent prospective studies show that light-to-moderate alcohol intake is not associated with adiposity gain while heavy drinking is more consistently related to weight gain. Experimental evidence is also mixed and suggests that moderate intake of alcohol does not lead to weight gain over short follow-up periods. However, many factors can explain the conflicting findings and a better characterization of individuals more likely to gain weight as a result of alcohol consumption is needed. In particular, individuals who frequently drink moderate amounts of alcohol may enjoy a healthier lifestyle in general that may protect them from weight gain. In conclusion, despite the important limitations of current studies, it is reasonable to say that alcohol intake may be a risk factor for obesity in some individuals, likely based on a multitude of factors, some of which are discussed herein.

Big drinkers: how BMI, gender and rules of thumb influence the free pouring of wine

BACKGROUND

This research examines free pouring behavior and provides an account of how Body Mass Index (BMI) and gender might lead to the overpouring, and consequently the overconsumption of wine.

METHODS

An observational study with young adults investigated how BMI and gender affect free-pouring of wine over a variety of pouring scenarios, and how rules-of-thumb in pouring affect the quantities of alcohol poured by men and women across BMI categories.

RESULTS

For men, the amount poured was positively related to BMI. However, BMI did not affect pours by women. The use of the "half glass" rule-of-thumb in pouring reduced the volume of wine poured by over 20% for both men and women. Importantly, this rule-of-thumb substantially attenuated the pours by men at high BMI levels.

CONCLUSION

Increasing awareness of pouring biases represents an early and effective step toward curbing alcohol consumption among men, and especially those who are overweight. Additionally, using a simple "half glass" rule-of-thumb may be an effective way to curb overpouring, despite non-standard glass sizes.

Body mass index and subjective well-being in young adults: a twin population study

Background

Body mass index (BMI) is associated with subjective well-being. Higher BMI is believed to be related with lower well-being. However, the association may not be linear. Therefore, we investigated whether a nonlinear (U-shaped) trend would better describe this relationship, and whether eating disorders might account for the association in young adults.

Methods

FinnTwin16 study evaluated multiple measures of subjective well-being, including life satisfaction, General Health Questionnaire (GHQ-20), satisfaction with leisure time, work, and family relationships, and satisfaction with sex life in young adulthood in the 1975–79 birth cohorts of Finnish twins (n=5240). We studied the relationship between indicators of subjective well-being and BMI both in full birth cohorts and in subgroups stratified by lifetime DSM-IV eating disorders.

Results

We found an inverse U-shaped relationship between all indicators of subjective well-being and BMI in men. There was no overall association between BMI and subjective well-being in women. However, there was an inverse U-shaped relationship between BMI and indicators of subjective well-being in women with a lifetime eating disorder and their healthy female co-twins. Subjective well-being was optimal in the overweight category.

Conclusions

Both underweight and obesity are associated with impaired subjective well-being in young men. The BMI reflecting optimal subjective well-being of young men may be higher than currently recognized. Categorization of body weight in terms of BMI may need to be reassessed in young men. BMI and subjective well-being are related in women with a lifetime eating disorder, but not in the general population of young women.

Lifestyle determinants of the drive to eat: a meta-analysis

BACKGROUND

Obesity is emerging as the most significant health concern of the 21st century. Although this is attributable in part to changes in our environment-including the increased prevalence of energy-dense food-it also appears that several lifestyle factors may increase our vulnerability to this calorie-rich landscape. Epidemiologic studies have begun to show links between adiposity and behaviors such as television watching, alcohol intake, and sleep deprivation. However, these studies leave unclear the direction of this association. In addition, studies that investigated the acute impact of these factors on food intake have reported a wide variety of effect sizes, from highly positive to slightly negative.

OBJECTIVE

The purpose of this article was to provide a meta-analysis of the relation between lifestyle choices and increases in acute food intake.

DESIGN

An initial search was performed on PubMed to collect articles relating television watching, sleep deprivation, and alcohol consumption to food intake. Only articles published before February 2012 were considered. Studies that took place in a controlled, laboratory setting with healthy individuals were included. Studies were analyzed by using 3 meta-analyses with random-effects models. In addition, a 1-factor ANOVA was run to discover any main effect of lifestyle.

RESULTS

The 3 most prominent lifestyle factors-television watching, alcohol intake, and sleep deprivation-had significant short-term effects on food intake, with alcohol being more significant (Cohen's d = 1.03) than sleep deprivation (Cohen's d = 0.49) and television watching (Cohen's d = 0.2).

CONCLUSIONS

Our results suggest that television watching, alcohol intake, and sleep deprivation are not merely correlated with obesity but likely contribute to it by encouraging excessive eating. Because these behaviors are all known to affect cognitive functions involved in reward saliency and inhibitory control, it may be that they represent common mechanisms through which this eating is facilitated.

Alcohol consumption and body weight change in postmenopausal women: results from the Women's Health Initiative

OBJECTIVE

To determine whether alcohol consumption is associated with incident overweight or obesity in normal-weight, postmenopausal women.

DESIGN

Prospective cohort study considering baseline alcohol consumption and subsequent weight change over 7 years.

SUBJECTS

15,920 normal-weight (body mass index (BMI): 18.5 to <25 kg m(-2)), postmenopausal women enrolled in the Women's Health Initiative Clinical Trial.

MEASUREMENTS

Body weight change, and incident overweight and obesity (BMI, 25.0 to <30 and ≥ 30 kg m(-2)) over 7 years.

RESULTS

One-third of the 13,822 women included in the analytical cohort reported no alcohol consumption. BMI differed little between abstainers (22.8±1.58 kg m(-2)) and alcohol consumers in the upper quintile (22.7±1.53 kg m(-2)). Among normal-weight women, the risk of becoming overweight or obese over a 7-year follow-up period was 35% or 88% lower, respectively, for women in the upper quintile of alcohol intake relative to abstainers (hazard ratio (HR), 0.65; 95% confidence interval (CI), 0.58-0.73; or HR, 0.12; 95% CI, 0.05-0.25, respectively). Risk for overweight and obesity was not significantly modified by age. Wine consumption showed the greatest protective association for risk of overweight (HR, 0.75; 95% CI, 0.68-0.84), followed by liquor (HR, 0.85; 95% CI, 0.78-0.93) and beer (HR, 0.90; 95% CI, 0.82-1.00).

CONCLUSION

Postmenopausal women of normal weight who report moderate alcohol intake have a reduced risk of becoming overweight or obese over time. Perhaps, weight control measures in this population should target behaviors other than reduction in alcohol for those of normal BMI consuming moderate amounts.

Alcohol consumption and body weight: a systematic review

Based on the fact that energy content in 1 gram of alcohol is 29 kJ or 7.1 kcal, alcohol consumption can lead to weight gain. The present review was conducted to analyze the effects of alcohol consumption on body weight. A search of the Medline database for the period 1984 to March 2010 was conducted to identify cross-sectional, prospective cohort studies and intervention trials investigating the relationship between alcohol consumption and the risk of weight gain. Thirty-one publications were selected on the basis of relevance and quality of design and methods. The findings from large cross-sectional studies as well as from well-powered, prospective, cohort studies with long periods of follow-up were contradictory. Findings from short-term experimental trials also did not show a clear trend. The overall results do not conclusively confirm a positive association between alcohol consumption and weight gain; however, positive findings between alcohol intake and weight gain have been reported, mainly from studies with data on higher levels of drinking. It is, therefore, possible that heavy drinkers may experience such an effect more commonly than light drinkers. Moreover, light-to-moderate alcohol intake, especially wine intake, may be more likely to protect against weight gain, whereas consumption of spirits has been positively associated with weight gain. Further research should be directed towards assessing the specific roles of different types of alcoholic beverages. Studies should also take the effect of consumption patterns into account. In addition, a potential effect modifier that has not been evaluated before but might be important to consider is the subjects' previous tendency to gain weight.

Body mass index in young adulthood and premature death: analyses of the US National Health Interview Survey linked mortality files

Knowledge of the association between body mass index (weight (kg)/height (m)(2)) and premature death in young adulthood is very limited, especially for specific causes of death. Using the US National Health Interview Survey linked mortality files, the authors examined the relation between body mass index and premature death from all causes, cardiovascular disease (CVD), and cancer among 112,328 persons aged 18-39 years who participated in the National Health Interview Survey in the years 1987, 1988, and 1990-1995. During an average of 16 years of follow-up (ending on December 31, 2006), there were 3,178 deaths: 573 from CVD and 733 from cancer. Hazard ratios and 95% confidence intervals were estimated using multivariate proportional hazards models adjusting for age, gender, race/ethnicity, education, and smoking status. In analyses restricted to participants who had never smoked, the hazard ratios for death from all causes were 1.07 (95% confidence interval (CI): 0.91, 1.26) for overweight participants, 1.41 (95% CI: 1.16, 1.73) for obese participants, and 2.46 (95% CI: 1.91, 3.16) for extremely obese participants, compared with those of normal weight. Monotonically increasing risks for excess body weight were also observed for deaths from cancer and CVD. The associations found in this young cohort were much stronger than those in middle-aged or older populations.

Dietary, Lifestyle, and Health Correlates of Overweight and Obesity in Adults 19 to 39 Years of Age

Diet and lifestyle factors of young adults and their relationship to health risk factors are understudied. Data from the Bogalusa Heart Study population (n = 1214; 19-39 years; 74.1% white; 60.8% female) were used to study associations of lifestyle, health risk factors, and reported health problems with the National Institutes of Health body mass index (BMI) categories of normal, overweight, and obese. Data from self-reported questionnaires and laboratory measures were evaluated using covariate-adjusted multinomial logistic regression and analysis of covariance, linear trend test, and the Cochran–Armitage trend test. Obese individuals had lower odds of consuming high-fat dairy products (odds ratio [OR] = 0.77; 95% confidence interval [CI] = 0.62-0.96) and fruit/fruit juice/vegetables (OR = 0.83; CI = 0.75-0.93) and had higher odds of consuming hamburgers/sandwiches (OR = 2.81; CI = 1.52-5.20); processed meats (OR = 6.95; CI = 2.20-21.96); and sweetened (OR = 1.20; CI = 1.01-1.43) or diet beverages (OR = 1.27; CI = 1.02-1.58) than those of normal weight. Obese participants also had higher odds of being physically inactive versus being very active (OR = 2.65; CI = 1.64-4.29). Mean serum total and low-density lipoprotein cholesterol, triglycerides, apolipoprotein-B, and insulin resistance were higher ( P < .05 for all) in the overweight/obese when compared with normal weight individuals. Values were higher in those with higher weight status (linear trend P < .0001 for all). Self-reported health problems also increased with BMI. Interventions to improve diet and physical activity patterns among overweight/obese adults in this age group are needed.