We studied the association of adolescent smoking with overweight and abdominal obesity in adulthood.
We used the FinnTwin16, a prospective, population-based questionnaire study of 5 consecutive and complete birth cohorts of Finnish twins born between 1975 and 1979 (N = 4296) and studied at four points between the ages of 16 and 27 years to analyze the effect of adolescent smoking on abdominal obesity and overweight in early adulthood.
Smoking at least 10 cigarettes daily when aged 16 to 18 years increased the risk of adult abdominal obesity (odds ratio [OR]=1.77; 95% confidence interval [CI] = 1.39, 2.26). After we adjusted for confounders, the OR was 1.44 (95% CI = 1.11, 1.88), and after further adjustment for current body mass index (BMI), the OR was 1.34 (95% CI = 0.95, 1.88). Adolescent smoking significantly increased the risk of becoming overweight among women even after adjustment for possible confounders, including baseline BMI (OR = 1.74; 95% CI = 1.06, 2.88).
Smoking is a risk factor for abdominal obesity among both genders and for overweight in women. The prevention of smoking during adolescence may play an important role in promoting healthy weight and in decreasing the morbidity related to abdominal obesity.
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Concerns about weight gain occurring after smoking cessation may affect motivation and self-efficacy towards quitting smoking. We examined associations of smoking-specific weight concerns with smoking cessation motivation and self-efficacy in a population-based cross-sectional sample of daily smokers.
Six-hundred biochemically verified (blood cotinine) current daily smokers comprising 318 men and 282 women aged 25-74 years, were studied as part of the National FINRISK (Finnish Population Survey on Risk Factors on Chronic, Noncommunicable Diseases) study and its DIetary, Lifestyle and Genetic factors in the development of Obesity and Metabolic syndrome (DILGOM) sub-study that was conducted in Finland in 2007. Self-reported scales were used to assess weight concerns, motivation and self-efficacy regarding the cessation of smoking. Multiple regression analyses of concerns about weight in relation to motivation and self-efficacy were conducted with adjustments for sex, age (years), body mass index (BMI, [kg/m(2)]), physical activity (times per week), and further controlled for nicotine dependence (Fagerström Test for Nicotine Dependence).
Higher levels of weight concerns were associated with lower self-efficacy (ß = -0.07, p
The aim of the present study was to compare the lifestyle (leisure-time physical activity, smoking habits and alcohol consumption) and dietary (energy-yielding nutrients, dietary fibre and foods) factors of Finns with a new syndrome called normal-weight obesity (NWO) with those of lean and overweight Finns. The representative population-based study included 4786 participants (25-74 years) from the National FINRISK 2007 Study with a health examination and questionnaires. Food intake was assessed using a validated FFQ. NWO was defined to include those with a normal BMI (
The study aimed to determine whether alcohol use during late adolescence contributes to the weight gain from adolescence to young adulthood or risk of obesity or waist circumference at young adulthood.
A population-based, longitudinal study of 5563 Finnish twins born in 1975-1979 and surveyed at ages 16 (T1), 17 (T2), 18 (T3) and 23-27 (T4) years. Drinking habits, height and weight were self-reported at T1, T2, T3 and T4; waist circumference was self-measured at T4. As potential confounders, we used smoking, diet, physical activity, place of residence, socio-economic status and parents' body mass index (BMI).
Compared to the reference group (drinking once to twice per month), the BMI increase from T3 to T4 was less among abstaining men (-0.62 kg/m(2), (95% CI -1.04, -0.20)) and among women in those drinking less than monthly (-0.38 kg/m(2), (-0.71, -0.04)). In women, at least weekly drinking was associated with larger waist circumference (Beta 1.55 cm, (0.48, 2.61)), but this became statistically non-significant after adjusting for potential confounders. In a multilevel model for change, drinking frequency was not associated with weight change in women; in men, a negative association was seen, but it was statistically non-significant after adjusting for potential confounders.
These results from a population-based study with a large set of confounding variables suggest that alcohol use during adolescence has at most a minor effect on weight gain or development of abdominal obesity from adolescence to young adulthood.
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We investigated mortality and its determinants in people with psychotic disorder.
A nationally representative two-stage cluster sample of 8028 persons aged 30 years or older from Finland was selected for a comprehensive health survey conducted from 2000 to 2001. Participants were screened for psychotic disorder, and screen-positive persons were invited for a Structured Clinical Interview for DSM-IV. The diagnostic assessment of DSM-IV psychotic disorders was based on the Structured Clinical Interview for DSM-IV, case records from mental health treatments, or both. Mortality was followed up until September 2009 and analyzed using Cox proportional hazards model.
People with schizophrenia (hazard ratio [HR] = 3.03; 95% confidence interval [CI] = 1.93-4.77) and other nonaffective psychoses (HR = 1.84; 95% CI = 1.17-2.91) had elevated mortality risk, whereas people with affective psychoses did not (HR = 0.61; 95% CI = 0.24-1.55). Antipsychotic medication use was associated with increased mortality (HR = 2.34; 95% CI = 1.86-2.96). There was an interaction between antipsychotic medication use and the presence of a psychotic disorder: antipsychotic medication use was only associated with elevated mortality in persons who were using antipsychotics and did not have primary psychotic disorder. In persons with psychotic disorder, mortality was predicted by smoking and Type 2 diabetes at baseline survey.
Schizophrenia and nonaffective psychoses are associated with increased mortality risk, whereas affective psychoses are not. Antipsychotic medication use increases mortality risk in older people without primary psychotic disorder, but not in individuals with schizophrenia. Smoking and Type 2 diabetes are important predictors of elevated mortality risk in persons with psychotic disorder.
To examine the association of smoking with recurrent dieting and BMI among Finnish adults.
We used questionnaire data from 1990 on 11,055 subjects from the Finnish Twin Cohort who were 33 to 61 years of age. Multinomial logistic regression analysis was carried out using lifetime dieting as the outcome variable and smoking as the main explanatory variable, adjusted for BMI and age. Twin pairs discordant for dieting and smoking were studied to examine the effect of environmental and genetic factors.
Among women, current smokers [odds ratio (OR), 1.09 to 1.41 at different ages] and former smokers (OR, 1.52 to 2.82) were more likely to have dieted recurrently than never smokers. Among men, current smokers were less likely (OR, 0.69; 95% confidence interval, 0.55, 0.87) and former smokers were more likely (OR, 1.30; 95% confidence interval, 1.05, 1.61) to have dieted recurrently at different ages. The differences between the discordant pairs were consistent with this, although not statistically significant.
Recurrent dieting was associated with former smoking in both sexes and with current smoking in women.
We tested the validity of the SCOFF, a five-question screening instrument for eating disorders, in a general population sample.
A random sample of 1863 Finnish young adults was approached with a questionnaire that contained several screens for mental health interview, including the SCOFF. The questionnaire was returned by 1316 persons. All screen positives and a random sample of screen negatives were invited to SCID interview. Altogether 541 subjects participated in the SCID interview and had filled in the SCOFF questionnaire. We investigated the validity of the SCOFF in detecting current eating disorders by calculating sensitivity, specificity, and positive and negative predictive values (PPV and NPV) for different cut-off scores. We also performed a ROC analysis based on these 541 persons, of whom nine had current eating disorder.
The threshold of two positive answers presented the best ability to detect eating disorders, with a sensitivity of 77.8%, a specificity of 87.6%, a PPV of 9.7%, and a NPV of 99.6%. None of the subjects with current eating disorder scored zero points in the SCOFF.
Due to its low PPV, there are limitations in using the SCOFF as a screening instrument in unselected population samples. However, it might be used for ruling out the possibility of eating disorders.