Food Addiction and Lifestyle Habits among University Students

The prevalence of overweight and obesity is increasing in our society, with a complex, multifactorial origin, and associated with greater morbidity and mortality in the population. Food addiction (FA) is a common disorder in overweight/obese people, which appears to be increasingly common in young people. This study analyzed food addiction in a group of young university students and to examine its association with body composition, quality of sleep, adherence to the Mediterranean diet, physical activity/sedentary habits, tobacco or alcohol consumption, and health status. A total of 536 undergraduate nursing students participated in a questionnaire that included the Yale Food Addiction Scale (YFAS 2.0). Up to 6.4% of the students presented FA. Statistically significant associations were observed in the variables for sleep quality odds ratio (OR) 4.8 (95% confidence interval (CI): 1.66–13.87), anxiety/depression OR 8.71 (95% CI: 3.93–19.27), body mass index (BMI) OR 8.32 (95% CI: 3.81–18.15) and sedentary lifestyle OR 2.33 (95% CI: 1.09–5.01). A predictive model was developed after binary logistic regression (area under the ROC curve 0.84 (95% CI: 0.77–0.91). Students with FA presented higher BMI values, worse sleep quality, anxiety or depression problems, and more time spent in sedentary behaviors.     

Environmental and lifestyle factors associated with overweight and obesity in Perth,Australia

PURPOSE: To examine associations between environmental and lifestyle factors and overweight or obesity. DESIGN: A cross-sectional survey and an environmental scan of recreational facilities. SETTING: Metropolitan Perth, Western Australia. SUBJECTS: Healthy sedentary workers and homemakers aged 18 to 59 years (n = 1803) living in areas within the top and bottom quintiles of social disadvantage. MEASURES: Four lifestyle factors, one social environmental factor, and five physical environment factors (three objectively measured). RESULTS: After adjustment for demographic factors and other variables in the model, overweight was associated with living on a highway (odds ratio [OR], 4.24; 95% confidence interval [CI], 1.62-11.09) or streets with no sidewalks or sidewalks on one side only (OR, 1.35; 95% CI, 1.03-1.78) and perceiving no paths within walking distance (OR, 1.42; 95% CI, 1.08-1.86). Poor access to four or more recreational facilities (OR, 1.68; 95% CI, 1.11-2.55) and sidewalks (OR, 1.62; 95% CI, .98-2.68) and perceiving no shop within walking distance (OR, 1.84; 95% CI, 1.01-3.36) were associated with obesity. Conversely, access to a motor vehicle all the time was negatively associated with obesity (OR, .56; 95% CI, .32-.99). Watching 3 or more hours of television daily (ORs, 1.92 and 1.85, respectively) and rating oneself as less active than others (ORs, 1.66 and 4.05, respectively) were associated with both overweight and obesity. After adjustment for individual demographic factors and all other variables in the model, socioeconomic status of area of residence and leisure-time physical activity were not associated with overweight or obesity. CONCLUSION: Factors that influence overweight and obesity appear to differ, but aspects of the physical environment may be important. Objectively measured neighborhood environment factors warrant further investigation.     

Maternal smoking during pregnancy and childhood obesity

A recent cohort study suggested that maternal smoking during pregnancy might be a risk factor for childhood obesity. Data from the obligatory school entry health examination in six Bavarian (Germany) public health offices in 1999-2000 were used to assess the relation between maternal smoking during pregnancy and childhood obesity (n = 6,483 German children aged 5.00-6.99 years). A body mass index greater than the 90th percentile was defined as overweight, and a body mass index greater than the 97th percentile was defined as obesity. The main exposure was maternal smoking during pregnancy. The prevalences of overweight and obesity, expressed as percentages, increased in the following order: never smoked (overweight: 8.1, 95% confidence interval (CI): 7.2, 9.0; obesity: 2.2, 95% CI: 1.7, 2.7); less than 10 cigarettes daily (overweight: 14.1, 95% CI: 11.1, 17.7; obesity: 5.7, 95% CI: 3.7, 8.2); and 10 or more cigarettes daily (overweight: 17.0, 95% CI: 10.1, 26.2; obesity: 8.5, 95% CI: 3.7, 16.1). The adjusted odds ratios for maternal smoking during pregnancy were 1.43 (95% CI: 1.07, 1.90) for overweight and 2.06 (95% CI: 1.31, 3.23) for obesity. A dose-dependent association between overweight/obesity and maternal smoking during pregnancy was observed that could not be explained by a wide range of confounders, suggesting that intrauterine exposure to inhaled smoke products rather than lifestyle factors associated with maternal smoking accounts for this finding.     

Epidemiology of overweight and obesity and its determinants in Belo Horizonte (MG), Brazil: a cross-sectional population-based study]

OBJECTIVE: To determine the prevalence of overweight and obesity and to study potential risk factors for these conditions in persons over 18 years of age in the metropolitan area of Belo Horizonte, Brazil. METHODS: Data were obtained from a population-based study conducted in 1996 and 1997 by the Brazilian Institute of Geography and Statistics (Instituto Brasileiro de Geografia e Estatística, IBGE) with a random sample of 1 105 individuals. Height and weight were measured by trained personnel. Overweight (body mass index [BMI] > or = 25.0 kg/m2) and obesity (BMI > or = 30.0 kg/m2) were the dependent variables. Bivariate analysis and multivariate logistic regression were used to identify potential risk factors for overweight and obesity. RESULTS: The prevalence of overweight and obesity was 31.1% (95% confidence interval 195% CI]: 27.3 to 35.2) and 5.7% (95% CI: 4.0 to 8.1), respectively, in men, and 25.9% (95% CI: 22.4 to 29.8) and 14.7% (95% CI: 11.9 to 17.9), respectively, in women. Multivariate analysis revealed that age and marital status were independent risk factors for overweight, whereas age, sex, and education were independent risk factors for obesity. Being female and well-educated showed a protective effect against overweight (odds ratio [OR] = 0.52; 95% CI: 0.33 to 0.83), but not against obesity (OR = 3.01; IC 95%: 1.14 to 7.94). Women with low education had a significantly greater risk (OR = 5.95; 95%CI: 2.51 to 14.12) of developing obesity than men having a high educational level. CONCLUSIONS: These results suggest that overweight and obesity may be serious public health problems in the metropolitan area of Belo Horizonte, Brazil. It is important to carry out further studies in order to explore the potential relationship between overweight and obesity on the one hand, and behavioral variables, such as smoking and alcohol consumption, on the other.     

Predictor factors for childhood obesity in a Spanish case-control study

OBJECTIVE: The aim of this study was to identify and characterize factors associated with childhood obesity risk related to lifestyle and perinatal life influences (dietary pattern, physical activity, family history of obesity, breast-feeding, sedentary behavior, and birth weight) in a case-control study design. METHODS: Cases were 185 obese (body mass index >97th percentile) children and adolescents (6-18 y old) from the Navarra region of Spain and control subjects were matched by sex and age. Anthropometric data were collected, and a personal interview about lifestyle parameters (dietary patterns, physical activity, family history of obesity, breast-feeding and sedentary behaviors) was performed with each participant. Conditional logistic regression was used to identify predictive factors of obesity. RESULTS: Leisure time physical activity proved to be a protector factor against obesity (odds ratio [OR] 0.94, 95% confidence interval [CI] 0.92-0.96), whereas family history of obesity (OR 4.18, 95% CI 2.20-8.62), watching television (OR 2.02, 95% CI 1.09-3.77), and sugar-sweetened beverage consumption (OR 1.74, 95% CI 1.05-2.89) were associated with a higher obesity risk. CONCLUSION: Our results suggest that leisure time physical activity, family history of obesity, watching television, and sugar-sweetened beverage consumption are important predictive variables for childhood obesity, whereas other factors including breast-feeding, birth weight, and time spent sleeping did not appear to play an important role in the development of childhood obesity.     

玉环县农村社区≥35岁居民超重和肥胖及其与高血压的关系

  目的  了解浙江省玉环县农村社区≥35岁居民超重和肥胖流行现状,探索超重、肥胖与高血压患病的关系。  方法  2009-2010年,采用整群抽样方法在玉环县所有农村社区中抽取124 693名≥35岁常住居民进行横断面调查,分析超重和肥胖与高血压患病之间的关系。  结果  玉环县农村社区≥35岁居民超重和肥胖率分别为34.53%和10.18%。其中男性超重率（35.56%）高于女性（33.66%）,女性肥胖率（11.26%）高于男性（8.90%）,差异均有统计学意义（均有P<0.05）。多因素分析显示:年龄、是否务农、教育程度、规律体育锻炼、吸烟、饮酒和高盐饮食等均为超重/肥胖的可能影响因素（均有P<0.05）。在调整可能的混杂因素后,非条件Logistic回归分析结果显示:男性超重和肥胖者患高血压的风险分别是体重正常人群的2.02（95%CI:1.93~2.11）和3.83（95%CI:3.57~4.10）倍;女性分别为1.94（95%CI:1.86~2.02）和3.56（95%CI:3.35~3.77）倍。  结论  玉环县农村社区≥35岁居民超重和肥胖患病率较高,且超重和肥胖可能增加高血压的患病风险。     

Dietary behaviors, physical activity, and cigarette smoking among pregnant Puerto Rican women

BACKGROUND: Few studies have examined predictors of meeting health guidelines in pregnancy among Latina women. OBJECTIVE: We assessed dietary behaviors, physical activity, and cigarette smoking in the Latina Gestational Diabetes Mellitus Study, a prospective cohort of 1231 prenatal care patients. DESIGN: Self-reported information on lifestyle factors, demographics, medical history, and physical activity was collected by bilingual interviewers during pregnancy. Fruit/vegetable intake was determined by summing the reported consumption of specific fruit and vegetables on a food-frequency questionnaire designed for this population and then adjusted for reported total daily servings. RESULTS: Approximately 13% of women met physical activity guidelines [>or=10 metabolic equivalents (MET)-h/wk], 19% met fruit/vegetable guidelines (7 servings/d), 21% of women smoked, and 1.4% consumed alcohol during pregnancy. In multivariate analyses, Spanish-language preference, an indicator of less acculturation, was associated with an approximately 40% less likelihood of both smoking [odds ratio (OR): 0.6; 95% CI: 0.4, 0.8] and meeting physical activity guidelines (OR: 0.6; 95% CI: 0.3, 1.0). College education was associated with a 2-fold greater likelihood of meeting fruit/vegetable guidelines (OR: 2.2; 95% CI: 1.1, 4.3) and a lower likelihood of smoking (OR: 0.2; 95% CI: 0.1, 0.4). A history of adverse pregnancy outcome was associated with a >4-fold greater likelihood of meeting physical activity guidelines. Smoking in pregnancy was associated with a decreased likelihood of meeting the fruit/vegetable guidelines (RR: 0.5; 95% CI: 0.3, 0.9). CONCLUSION: Factors related to engagement in prenatal health behaviors should be addressed in the design of targeted intervention strategies in this underserved and rapidly growing population.     

我国及寒地与非寒地地区高血压影响因素的系统综述与Meta分析

目的 系统评价我国及寒地与非寒地地区高血压影响因素及其差异。方法 以高血压不同影响因素为主要检索词检索文献,进行文献筛选、提取相关数据。使用CMA V2统计软件进行统计分析。结果 本系统综述和Meta分析共纳入分析了16个高血压影响因素。合并OR值大于1.00,与高血压关联强度较强的前3位的因素依次为肥胖、家族史、糖尿病,其合并OR（95%CI）值分别为3.00（95%CI:2.69~3.36）、2.04（95%CI:1.87~2.23）、1.94（95%CI:1.68~2.24）。人群归因危险度共计算肥胖、超重、糖尿病、吸烟、饮酒5种因素,人群中患高血压22.00%与肥胖有关,21.39%和超重有关。分层分析发现年龄（OR_寒地=1.35,95%CI:1.27~1.45）;OR_非寒地=1.50,95%CI:1.47~1.53）、性别（OR_寒地=1.30,95%CI:1.16~1.45;OR_非寒地=0.99,95%CI:0.90~1.09）、腰围OR_寒地=2.75,95%CI:2.11~3.59）;OR_非寒地=3.06,95%CI:2.70~3.48）三个影响因素在寒地与非寒地地区之间差异有统计学意义（均有P<0.05）。结论 影响我国居民高血压的主要因素为超重、肥胖、糖尿病、吸烟、饮酒。我国寒地地区与非寒地地区高血压的影响因素差异不显著。     

Prehypertension in the Ashanti region of Ghana, West Africa: an opportunity for early prevention of clinical hypertension

OBJECTIVE: To assess prehypertension among Ghanaian adults in the Ashanti region of Ghana, West Africa. DESIGN: Cross-sectional study. PARTICIPANTS: There were 1431 participants aged 18 years or more. Prehypertension was defined as blood pressure of 120-139/80-89 mmHg. MAIN OUTCOME MEASURES: Prehypertension. RESULTS: Overall, 31% of the study population were normotensive, 40% were prehypertensive and 29% were hypertensive. Prehypertension was more common in non-hypertensive males than non-hypertensive females (66% vs 49%, P<0.001). Prehypertension was also more common in those aged 35 years compared with those aged <35 years (P<0.001), and in overweight and obese people compared with people of normal weight (P=0.03). In a multivariate logistic regression model, male sex [odds ratio (OR) 2.36; 95% confidence interval (CI) 1.77-3.15; P<0.001], age 35-49 years (OR 1.56; 95% CI 1.12-2.18; P<0.01) and 50 years (OR 2.13; 95% CI 1.33-3.42; P=0.002)], overweight (OR 1.61; 95% CI 1.09-2.36; P=0.02) and obesity (OR 2.71; 95% CI 1.40-5.24; P=0.003) were independently associated with higher odds of prehypertension, whilst current smoking (OR 0.36; 95% CI 0.16-0.81; P=0.01) was associated with lower odds of prehypertension. CONCLUSION: Prehypertension is very common among non-hypertensive subjects in the Ashanti region of Ghana. As a large proportion of people with prehypertension will progress to clinical hypertension, targeting these people early with lifestyle modifications such as weight reduction may provide important long-term benefits.     

Education,income, occupational status and health risk behaviour

Aim Socio-economic status is associated with a variety of health-related behaviours. In our study, we determined the independent effects of income, educational attainment and occupational status on overweight, smoking and physical activity in the German population. Subjects and methods The German National Health Interview and Examination Survey is a representative sample of the German adult population and includes 7,124 men and women. Prevalences of obesity, smoking and physical inactivity stratified for education, income and occupational status were calculated. Multiple logistic regression models were used to estimate the odds ratios (OR) and 95% confidence intervals (CI) for education, income, occupational status and health-related behaviour, adjusted for age and gender. Results Health risk behaviours were more prevalent in subjects with lower education, income or occupational status. After mutual adjustment, education, income and occupation were independently associated with physical inactivity. Low education was strongly associated with both obesity (OR: 2.58, 95% CI: 1.99–3.34) and smoking (OR: 2.09, 95% CI: 1.71–2.54). Low income was associated with smoking (OR: 1.40, 95% CI: 1.07–1.83), but not with obesity, and low occupational status was associated with obesity (OR: 1.42, 95% CI: 1.05–1.92), but not with smoking. High income or occupation could not compensate for the impact of low education on obesity and smoking. Conclusion Low socio-economic status is associated with health risk behaviours. Concerning obesity and smoking, education was more important than income or occupational status. Public health programmes to reduce these risk factors should focus on early-life health education.     

Frailty status is related to general and abdominal obesity in older adults

The association between frailty and obesity may differ according to the heterogeneity of body mass index (BMI) and waist circumference (WC) phenotypes in older adults. We hypothesized that the use of simple indicators of general and abdominal obesity combined, may more accurately represent obesity and allow to further elucidate on how frailty status and its criteria are related to obesity. A sample of 1444 older adults, aged ≥65 years (Nutrition UP 65 study) was included in a cross-sectional analysis. General and abdominal obesity were defined according to World Health Organization BMI and WC cut-offs, and frailty by Fried et al. phenotype. A cluster analysis defined groups according to BMI and WC levels. Overweight (BMI between 25.0 and 29.9 kg/m²; 44.6%), general obesity (BMI ≥30.0 kg/m²; 39.0%), and abdominal obesity (WC >102 cm for men and >88 cm for women) were highly frequent (66.5%). Prefrailty (odds ratio [OR]: 2.33; 95% confidence interval [CI]: 1.52-3.57) and frailty (OR: 2.87; 95% CI: 1.58-5.22) were directly associated with the “general and abdominal obesity” cluster. Regarding frailty criteria, low handgrip strength (OR: 2.29; 95% CI: 1.55-3.38) and weight loss (OR: 0.27; 95% CI: 0.14-0.52) were also associated with this cluster. In this sample of older adults presenting a high frequency of overweight and obesity, prefrailty and frailty are linked to higher levels of adiposity, but only when both general and abdominal obesity are present. Present results emphasize the importance of the evaluation of both BMI and WC in the geriatric clinical practice and suggest that older adults presenting both general and abdominal obesity should be routinely screened for frailty.     

Is the different time trend (1997–2008) of the obesity prevalence among adults in the three Belgian regions associated with lifestyle changes?

Background

Obesity is a major public health issue with increasing prevalence among adults. However, in Belgium the regional time trends (1997–2008) differed: the prevalence of obesity increased in the Flemish and Brussels Regions, but remained stable in the Walloon Region, the latter still showing the highest prevalence. The purpose of the present study is to explore if the different time trends of obesity prevalence in the three Belgian regions is associated with lifestyle changes.

Methods

We used data from four successive cross-sectional waves (1997, 2001, 2004 and 2008) of the Belgian Health Interview Survey. The study was restricted to the adult population, resulting in samples of respectively 8,071, 9,391, 10,319 and 8,831 individuals. In line with the WHO definition, obesity was defined as having a BMI ≥ 30. Differences in regional trends of obesity were investigated through stratified analyses. The association between obesity and survey year, adjusted for lifestyle factors (alcohol consumption, smoking, fruit and vegetables consumption and leisure time physical activity), was assessed via logistic regression models. Interactions were added to the models to explore if the association between lifestyle factors and obesity varied over time.

Results

Obesity was associated with daily alcohol use in the Brussels (OR 0.66, 95% CI 0.50-0.88) and Walloon Regions (OR 0.8, 95% CI 0.6-0.9), with lower tendencies of being obese for daily drinkers. The probability of being obese was lower among smokers in the Flemish (OR 0.7, 95% CI 0.6-0.8) and Walloon Regions (OR 0.7, 95% CI 0.6-0.9) than among non-smokers. A lack of leisure time physical activity was associated with the probability of being obese in all regions (Brussels Region: OR 1.6, 95% CI 1.3-1.8; Flemish Region: OR 1.6, 95% CI 1.4-1.9; Walloon Region: OR 1.8, 95% CT 1.6-2.1). This association decreased significantly between 1997 and 2008 only in the Walloon Region.

Conclusion

The decreasing association between obesity and a lack of leisure time physical activity in the Walloon Region between 1997 and 2008 could indicate that there is an increasing awareness of risk factors for obesity in the Walloon population, which may have resulted in a more favourable evolution of the obesity epidemic.     

The association among smoking, heavy drinking, and chronic kidney disease

Several factors for chronic kidney disease (CKD), including diabetes, hypertension, and obesity, are described consistently in the literature; studies describing modifiable lifestyle factors, including smoking and consumption of alcohol, are sparse, sometimes contradictory. The authors examined the factors associated with CKD in a population-based cohort in Wisconsin, with emphasis on smoking and consumption of alcohol. CKD was defined as an estimated glomerular filtration rate of less than 60 ml/minute per 1.73 m(2) from serum creatinine. The authors performed two analyses: 1) cross-sectional analysis among 4,898 persons with prevalent CKD (n = 324) as the outcome of interest and 2) longitudinal analysis among 3,392 CKD-free persons at baseline, with 5-year incident CKD (n = 114) between 1993 and 1995 as the outcome of interest. Smoking and heavy drinking, defined as consumption of four or more servings of alcohol per day, were associated with CKD, independent of several important confounders. Compared with that among never smokers, the odds ratio of developing CKD was 1.12 (95% confidence interval (CI): 0.63, 2.00) among former smokers and 1.97 (95% CI: 1.15, 3.36) among current smokers. Heavy drinking was associated with CKD, with an odds ratio of 1.99 (95% CI: 0.99, 4.01). Joint exposure to both current smoking and heavy drinking was associated with almost fivefold odds of developing CKD compared with their absence (odds ratio = 4.93, 95% CI: 2.45, 9.94). Smoking and consumption of four or more servings of alcohol per day are associated with CKD.     

中国居民超重或肥胖、吸烟、饮酒与脑卒中关系的Meta分析

目的 探讨中国居民超重或肥胖、吸烟、饮酒与脑卒中的关系.方法 采用RevMan 4.2.9版本软件中的Meta分析,对1999-2006年国内有关研究超重或肥胖、吸烟、饮酒等因素对脑卒中关系的文献进行综合分析.结果 检索到超重或肥胖、吸烟、饮酒与脑卒中关系的文献分别有6篇、6篇、6篇;经异质性检验后,分别采用固定效应模型、随机效应模型进行OR值的合并.超重或肥胖、吸烟、饮酒对脑卒中影响的合并OR值分别为1.81(95% CI:1.40～2.35)、1.22(95% CI:1.08～1.37)和1.19(95% CI:1.03～1.38),经Z检验,Z值分别为4.52、3.24、2.36,P值均小于0.05.同时绘制漏斗图,发现图形基本呈现对称的漏斗状,这说明该类研究发表偏倚较小.结论 中国居民超重或肥胖、吸烟、饮酒均为脑卒中的危险因素.     

Electronic games and environmental factors associated with childhood obesity in Switzerland

OBJECTIVE: Environmental factors and behaviors associated with obesity have not been well described in children living in Europe. Although television watching has been repeatedly associated with obesity, it is unclear whether other sedentary activities, such as use of electronic games, are independently associated with obesity in children. The hypothesis was that various types of sedentary activities are associated with obesity in children living in Switzerland. RESEARCH METHODS AND PROCEDURES: This was a cross-sectional study of children (grades one to three) from four communities in the Greater Zurich Area (Switzerland). Obesity was defined as a combination of overweight (BMI) and overfat (skinfold thicknesses). Environmental factors were assessed by questionnaire. The children's physical activity was estimated by their teacher (scale 0 to 10). RESULTS: Of 922 eligible subjects, 872 (94.6%) took part in the study. Use of electronic games [odds ratio (OR) = 2.03 per hour per day, 95% confidence interval (CI): 1.57 to 2.61, p < 0.001], television (OR = 2.83 per hour per day, 95% CI: 2.08 to 3.86, p < 0.001), physical activity (OR = 0.80 per unit, 95% CI: 0.72 to 0.88, p < 0.001), maternal work (OR = 1.93, 95% CI: 1.13 to 3.29, p = 0.02), and paternal smoking (OR = 1.78, 95% CI: 1.07 to 2.96, p = 0.03) were independently associated with obesity. Further adjustment for socioeconomic status, when available, did not change these results. DISCUSSION: In this sample of children living in Switzerland, the use of electronic games was significantly associated with obesity, independently of confounding factors. The association of obesity with television use and lack of physical activity confirms results from other populations and points to potential strategies for obesity prevention.     

Gesundheitskompetenztraining für Menschen in Langzeitarbeitslosigkeit

Among the long-term unemployed ill health is often a hindrance to successful reintegration in the job market. In a quasi-experimental controlled study we examined the effects of a health promotion intervention program tailored to the specific needs of the long-term unemployed combining individual sessions based on motivational interviewing and participatory group sessions including physical activity. Over a period of 3 months the participants of the intervention group (n?=?179) showed more improvement compared to the control group (n?=?108) in terms of motivation for lifestyle changes towards more physical activity and healthier nutrition. Participants of the intervention group developed an intention to act significantly more often (active lifestyle: odds ratio 4.44; 95% CI: 2.00-9.83; healthy nutrition: odds ratio 3.94; 95% CI: 1.55-10.00) and actually implemented a behavior change significantly more often (active lifestyle: odds ratio 2.77; 95% CI: 1.35-5.71; healthy nutrition: odds ratio 4.34; 95% CI: 1.92-9.78). In terms of smoking and alcohol consumption no significant intervention effects were detected. The results of the study show the effectiveness of the described health promotion program regarding a lifestyle change towards more healthy nutrition and more physical activity.     

Obesity and prostate cancer screening in the USA

OBJECTIVE: To estimate the association between body mass index (BMI: kg/m2) and prostate-specific antigen (PSA) cancer screening in a nationally representative sample of US men aged 50 years and older using data from the 2001 Behavioral Risk Factor Surveillance Survey. RESPONDENTS: Men aged 50 years or older classified by BMI as healthy weight range (18.5-24.9), overweight (25-29.9), obese class I (30-34.9), obese class II (35-39.9), and obese class III (> or =40). OUTCOME MEASURES: Interval since most recent screening for PSA. RESULTS: Adjusting for age, race, smoking, education, employment, income and health insurance status, we found that, compared with men in the healthy weight range, men in the overweight [odds ratio (OR)=1.13; 95% confidence interval (95% CI)=1.04-1.35], obese class I (OR=1.26; 95% CI=1.06-1.36) and obese class II (OR=1.14, 95% CI=1.02-1.26) categories were significantly more likely to have obtained a PSA test within the previous year. A similar pattern was observed when we examined other screening intervals (e.g. within past 2 years, within past 3 years, etc.). CONCLUSIONS: Among men aged 50 years and older, overweight and obesity is associated with obtaining a PSA test.     

Bimodal Distribution of Risk for Childhood Obesity in Urban Baja California, Mexico

In Mexico, higher socioeconomic status (SES) has been found to be associated with increased risk for obesity in children. Within developed urban areas, however, there may be increased risk among lower SES children. Students in grades 4–6 from five public schools in Tijuana and Tecate, Mexico, were interviewed and weight, height and waist circumference (WC) measurements were taken. Interviews consisted of questions on food frequency, food insecurity, acculturation, physical activity and lifestyle practices. Multivariate logistic models were used to assess risk factors for obesity (having a body mass index [BMI] ≥95th percentile) and abdominal obesity (a WC >90th percentile) using Stata 11.0. Five hundred and ninety students were enrolled; 43.7% were overweight or obese, and 24.3% were obese and 20.2% had abdominal obesity. Independent risk factors for obesity included watching TV in English (odds ratio [OR] 1.60, 95% confidence interval [CI] 1.06–2.41) and perceived child food insecurity (OR 1.57, 95% CI 1.05–2.36). Decreased risk for obesity was associated with female sex (OR 0.64, 95% CI 0.43–0.96), as was regular multivitamin use (OR 0.63, 95% CI 0.42–0.94). Risk obesity was also decreased with increased taco consumption (≥1×/week; OR 0.64, 95% CI 0.43–0.96). Independent risk factors for abdominal obesity included playing video games ≥1×/week (OR 1.18, 95% CI 1.11–2.96) and older age group (10–11 years, OR 2.47, 95% CI 1.29–4.73 and ≥12 years, OR 2.21, 95% CI 1.09–4.49). Increased consumption of tacos was also associated with decreased risk for abdominal obesity (≥1×/week; OR 0.56, 95% CI 0.40–1.00). We found a bimodal distribution for risk of obesity and abdominal obesity in school aged children on the Mexican border with the United States. Increased risk for obesity and abdominal obesity were associated with factors indicative of lower and higher SES including watching TV in English, increased video game playing and perceived food insecurity. Increased consumption of tacos (≥1×/week) was associated with decreased risk, possibly suggesting an association with children from middle income families. Regular multivitamin use was protective and future studies may focus on micronutrient supplementation as a means to prevent obesity in children or further investigate factors associated with vitamin use. Additionally, future studies need to examine the processes of acculturation on both sides of the US–Mexican border that contribute to increased risk for obesity in children in relation to SES.     

Cigarette smoking status and the association between media use and overweight and obesity

For biologic and behavioral reasons, cigarette smokers weigh less than nonsmokers. Thus, cigarette smoking may modify the association between media use and obesity. The authors examined whether the association between media use and overweight and obesity was modified by cigarette smoking by analyzing 8,467 adults (> or =20 years) from the 1999-2002 National Health and Nutrition Examination Survey. Odds ratios and 95% confidence intervals of overweight and obesity were estimated by use of multinomial regression. To examine effect modification, the authors created separate regression models for smokers and nonsmokers (p(interaction) = 0.002). Nonsmokers using media 4 or more hours daily were 3.9 times more likely to be obese (95% confidence interval (CI): 2.9, 5.2) and 1.6 times more likely to be overweight (95% CI: 1.3, 2.0) compared with those reporting less than 1 hour/day of media use. Among smokers, media use 4 or more hours daily was not significantly associated with increased odds of obesity (odds ratio = 1.3, 95% CI: 0.8, 2.2) or overweight (odds ratio = 1.4, 95% CI: 1.0, 1.9). Media use was associated with overweight and obesity and modified by cigarette smoking. Cigarette smoking should be evaluated as an effect modifier in studies of media use and obesity.     

Development of overweight associated with childbearing depends on smoking habit: The Coronary Artery Risk Development in Young Adults (CARDIA) Study

OBJECTIVE: To prospectively evaluate whether childbearing leads to development of overweight in women and to evaluate the role of other known risk factors. RESEARCH METHODS AND PROCEDURES: A prospective, multicenter observational study, the Coronary Artery Risk Development in Young Adults (CARDIA) Study from 1986 to 1996, examined subjects at baseline and in follow-up years 2, 5, 7, and 10. Included were 998 (328 black and 670 white) nulliparous women, age 18-30 years, who were not overweight at baseline. Relative odds for incident overweight (BMI > or = 25 kg/m2) associated with parity change (0, 1, or 2+) and risk factors were estimated using discrete-time survival models adjusted for baseline and time-dependent covariates. RESULTS: Parity change-association with development of overweight depended on smoking habit (interaction, p < 0.001). In multivariate adjusted models, 1 and 2+ births vs. 0, respectively, were associated with increased risk for development of overweight among never smokers [odds ratio (OR) = 2.66; 95% confidence interval (CI): 1.80, 3.93, and 2.10, 95% CI: 1.24, 3.56] and decreased risk among current smokers (OR = 0.41; 95% CI: 0.17, 0.96, and 0.36, 95% CI: 0.08, 1.65). Risk was increased for black vs. white race (OR = 3.49; 95% CI: 2.59, 4.69), frequent weight cycling (OR = 1.45; 95% CI: 1.03, 2.04), and high school education or less (OR = 2.21; 95% CI: 1.50, 3.26) and was decreased for highest physical activity quartile (OR = 0.62; 95% CI: 0.43, 0.90). DISCUSSION: Childbearing contributes to development of overweight in nonsmokers but not in smokers, where development of overweight is less likely in women who bear children. Race, education, and behaviors are important factors in development of overweight in young women.