Relationship of thyroid function with body mass index, leptin, insulin sensitivity and adiponectin in euthyroid obese women

BACKGROUND: A possible relationship between thyroid hormones and adipose tissue metabolism in humans has been suggested. Aim of the study We sought to evaluate thyroid function and its possible relationship with body mass index (BMI), leptin, adiponectin and insulin sensitivity in euthyroid obese women. MATERIALS AND METHODS: Eighty-seven uncomplicated obese women (mean age 34.7 +/- 9 years, mean BMI 40.1 +/- 7 kg/m(2)) were studied. Levels of TSH, free thyroxine (FT4), free triiodothyronine (FT3), plasma adiponectin and leptin were evaluated. Insulin sensitivity was assessed by euglycaemic hyperinsulinaemic clamp (M index), fasting insulin and HOMA-IR. RESULTS: Uncomplicated obese women with BMI > 40 kg/m(2) showed higher serum TSH than obese subjects with BMI < 40 kg/m(2) (P < 0.01). TSH was correlated with BMI (r = 0.44, P = 0.01) leptin (r = 0.41, P = 0.01), leptin/BMI ratio (r = 0.33, P = 0.03), body surface area (r = 0.26, P = 0.05), HOMA-IR (r = 0.245, P = 0.05) and inversely with adiponectin (r = -0.25, P = 0.05) and M index (r = -0.223 P = 0.05). CONCLUSIONS: Our data show that, although thyroid function was normal in the studied obese population, TSH and BMI were positively related. TSH has been found to be correlated also with leptin adjusted for BMI. TSH could represent a marker of altered energy balance in severe, but uncomplicated obese women.     

Interrelationships between body mass to waist circumference ratio,body mass index,and total body muscularity in older women

PurposeTo examine the relationships between body mass to waist circumference (BM:W) ratio or body mass index (BMI) and muscularity, 140 overweight (BMI ≥ 25 kg/m² and <30 kg/m²), 265 normal weight (BMI > 18.5 kg/m² and <25 kg/m²) and 26 underweight (BMI ≤ 18.5 kg/m²) Japanese women aged 60–80 years volunteered (overall 431 women).MethodsMuscle thickness was measured by ultrasound at six sites on the anterior and posterior aspects of the body. Total muscle mass (TMM) was estimated from an ultrasound-derived prediction equation. BMI and BM:W ratio were calculated using anthropometrical variables.ResultsWhen the overall sample was used, BMI was positively correlated with the TMM (r = 0.573, p < 0.001) and TMM index (r = 0.659, p < 0.001). BM:W ratio was also positively correlated with the TMM (r = 0.566, p < 0.001) and TMM index (r = 0.400, p < 0.001). In normal weight women, BMI was positively correlated with the TMM (r = 0.460, p < 0.001) and TMM index (r = 0.496, p < 0.001). Similarly, BM:W ratio was positively correlated with the TMM (r = 0.514, p < 0.001) and TMM index (r = 0.318, p < 0.001). In overweight and underweight women, TMM was significantly and positively correlated with BM:W ratio (r = 0.442 and r = 0.715, respectively; p < 0.001), but not BMI (r = 0.077 and r = 0.315). TMM index was also positively correlated with BM:W ratio in both overweight (r = 0.184, p < 0.05) and underweight (r = 0.500, p < 0.01) women. BMI was positively correlated with TMM index (r = 0.230, p < 0.01) and inversely correlated to the percentage of TMM in body mass (r = −0.262, p < 0.01) in overweight women.ConclusionThese results suggest that, compared to BMI, BM:W ratio may provide a simple and potential index for assessing muscularity in Japanese older underweight women. However, in normal and overweight women, BMI and BM:W ratio are both preferred in assessing muscularity.     

Relationships between body mass index and well-being in young Australian women

OBJECTIVE: To explore relationships between body mass index (BMI, kg/m2) and indicators of health and well-being in young Australian women. DESIGN: Population based cohort study--baseline cross sectional data. SUBJECTS: 14,779 women aged 18-23 who participated in the baseline survey of the Australian Longitudinal Study on Women's Health in 1996. MEASUREMENTS: Self-reported height, weight, medical conditions, symptoms and SF-36. RESULTS: The majority of women (68%) had a BMI in the range 18.5- <25; 12% had a BMI <18.5; 14% had a BMI in the range 25- <30 and 6% had a BMI > or =30. After adjustment for area of residence, age, education, smoking and exercise, women in the highest BMI category (> or =30) were more likely to report hypertension, asthma, headaches, back pain, sleeping difficulties, irregular periods, and more visits to their medical practitioner. They were also more likely to have given birth at least once, and less likely to report 'low iron'. Women with low BMI (<18.5) were more likely to report irregular periods and 'low iron'. Mean scores on the SF-36 sub-scales for physical functioning, general health and vitality were highest for women with BMI in the range 18.5-25. CONCLUSION: Acknowledging the limits of the cross-sectional nature of the data, the results show that the deleterious effects of overweight can be seen at a comparatively young age, and that BMI <25 is associated with fewer indicators of morbidity in young women. However, as BMI <18.5 is associated with low iron and irregular periods, care should be taken when developing strategies to prevent overweight in young women, not to encourage women with healthy weight to strive for a lower BMI.     

Waist circumference,body mass index and glycated hemoglobin in Japanese men and women

AimsTo investigate the relationship of waist circumference and body mass index (BMI) with glycated hemoglobin (HbA_1c) concentrations and to define optimal cutoffs for these indices with respect to elevated HbA_1c (>5.8%).MethodsStudy subjects were 7731 Japanese men and women aged 50–74 years in Fukuoka City who participated in the baseline survey of a cohort study on lifestyle-related diseases. Linear regression analysis and logistic regression analysis were used with and without adjustment for age, smoking, alcohol use and physical activity. Receiver operating characteristic (ROC) curve analysis was performed to determine optimal cutoffs for the obesity indices.ResultsWaist circumference and BMI were linearly related to HbA_1c concentrations in men and women with almost the same magnitude in strength. With adjustment for the covariates, mean percent changes of HbA_1c per one standard deviation (S.D.) of waist circumference and BMI were 1.6% and 1.8% respectively in men, and 1.3% and 1.4% respectively in women. Adjusted odds ratios of elevated HbA_1c per one S.D. of waist circumference and BMI also showed statistically significant increases. Optimal cutoffs for waist circumference were 89 cm for men and 85 cm for women. The area under the ROC curve was much greater in women than in men.ConclusionsIn a population of middle-aged or elderly Japanese men and women, both waist circumference and BMI were strongly, positively associated with HbA_1c concentrations. The determined optimal cutoff points for waist circumference did not support the current Japanese criterion for abdominal adiposity.     

A prospective study of the relationship between body mass index and cataract extraction among US women and men

BACKGROUND: Obesity may influence several physiologic processes involved in cataract formation such as oxidative stress, glycosylation and osmotic stress. OBJECTIVE: To examine the association between increased body mass index (BMI) and the incidence of cataract extraction. DESIGN AND SETTING: The Nurses' Health Study and the Health Professionals Follow-up Study, both prospective cohort studies of US women and men. SUBJECTS: A total of 87 682 women and 45 549 men aged 45 y and older who did not have diagnosed cataract or cancer at baseline (1980 for women, 1986 for men). MEASUREMENTS: Cataract extractions occurring between baseline and 1996, confirmed by medical records. RESULTS: During 16 y of follow-up in the women, and 10 y in the men, (1 097 997 person-y), 4430 incident cases were documented. Compared to participants with BMI less than 23 kg/m(2), those with BMI greater than or equal to 30 kg/m(2) had 36% higher risk of any type of cataract (pooled multivariate relative risk (RR), 1.36; 95% CI, 1.23-1.49) after adjusting for smoking, age and lutein/zeaxanthin intake. The association was strongest for posterior subcapsular (PSC) cataract (pooled multivariate RR, 1.99; 95% CI, 1.55-2.55). With adjustment for diabetes, the RR of obesity associated with posterior subcapsular cataract was 1.68 (95% CI, 1.30-2.17). Obesity was not significantly associated with nuclear cataract. CONCLUSION: Obesity increases the risk of developing cataract overall, and of PSC cataract in particular; the etiology of PSC cataract may be mediated at least in part by glucose intolerance and insulin resistance, even in the absence of clinical diabetes.     

体重、体重指数与绝经后妇女骨丢失率的相关性研究

目的 评价体重、体重指数对绝经后妇女骨转换率的影响。方法 对1042名门诊体检的健康绝经后妇女测定身高、体重,计算体重指数（BMI）,DXA骨密度仪测定腰椎和股骨部位骨密度（BMD）,同时留取血液和尿液测定骨转换指标,如血清骨钙素（SM-BGP）、血清骨特异性碱性磷酸酶（S-BALP）、血Ⅰ型前胶原C端肽（S-PICP）,和骨吸收指标,如尿吡啶啉（U-PYD）、尿脱氧吡啶啉（U-DPD）、尿I型胶原羧基端肽（U-CTX）、尿Ⅰ型胶原氨基端肽（U-NTX）、尿钙（U-Ca）、尿肌酐（U-Cr）以及可以反映骨代谢的血完整甲状旁腺素（S-PTH）。结果 U-CTX/Cr（r=-0.233,P=0.000）、U-NTX/Cr（r=-0.110,P=0.016）和SM-BGP（r=-0.193,P=0.027）与BMI呈负相关。根据体重指数将受试对象分为三组：BMI≤24kg/m^2（正常组）,24kg/m^2〈BMI〈27kg／m^2（超重组）．27kg／m^2≤BMI（肥胖组）．U—CTX／Cr在三组的水平分别为：287．73±98．47;239．37±85．26;204．14±79．91,各组间差异均有统计学意义;U-NTX／Cr在三组的水平分别为：61．77±29．83;54．45±20．37;49．53±19．81,只在组1和组3间差异有统计学意义;SM—BGP在三组的水平分别为：26．16±12．75;24．57±10．98;20．82±7．99,组3与组1、组2间差异有统计学意义。多元逐步网归分析,BMI、腰椎BMD和年龄是影响绝经后妇女U—CTX／Cr、U—NTX／Cr、SM～BGP的主要因素。结论 BMI与骨转换率旱负相关,对于绝经后妇女,随着BMI的升高其骨形成（SM—BGP）或骨吸收（U—CTX、U—NTX）均有降低的趋势。     

Lack of association between serum TSH or free T4 and body mass index in euthyroid subjects

BACKGROUND: There is ongoing debate regarding the influence of minor changes in thyroid status within the normal range and body mass index (BMI). Overt thyroid dysfunction is well recognized to affect weight, but the influence of minor perturbations of thyroid function remains unclear. AIM OF THE STUDY: To examine in euthyroid subjects the association of serum concentrations of TSH and free T4 within the normal range and BMI. To compare serum TSH and free T4 concentrations in nonobese and obese subjects. SUBJECTS AND METHODS: A cohort of 401 euthyroid subjects with normal serum TSH (361 females, 40 males, mean age 48.2 years) who had been referred to a Thyroid Clinic due to the presence of a thyroid nodule or goitre. Measurements of serum TSH and free T4 were recorded, together with BMI (calculated from weight and height). Associations between measures of TSH, free T4 and BMI were investigated. RESULTS: There was no association between either serum TSH or free T4 concentration when considered as a continuous variable and BMI, and no difference in BMI when subjects were categorized according to serum TSH or free T4. There was also no difference in serum TSH or free T4 between lean and obese euthyroid subjects. Evidence of thyroid autoimmunity indicated by the presence of antibodies to thyroid peroxidase was likewise not associated with a difference in BMI. CONCLUSION: This study provides no evidence for an association between thyroid status within the normal range and BMI.     

Effect of body mass index on apolipoprotein A-I kinetics in middle-aged men and postmenopausal women

The effect of body mass index (BMI) and obesity on apolipoprotein (apo) A-I levels and kinetics was examined by gender. Apo A-I kinetics were determined with a primed, constant infusion of deuterated leucine in the fed state in 19 men and 13 postmenopausal women. Compared with nonobese men, nonobese women had a higher level of high-density lipoprotein cholesterol (HDL-C) and apo A-I due to a 48% higher apo A-I production rate (PR) (P = .05). Obesity had no significant effects on apo A-I kinetics in women. In contrast, compared with nonobese men, obese men had a 9% lower apo A-I level due to a 64% higher fractional catabolic rate (FCR) partially offset by a 47% higher PR. Obese women had a 52% higher HDL-C than obese men (50 vs 33 mg/dL, respectively; P = .012), a finding related to the faster apo A-I FCR in obese men. BMI was directly correlated with apo A-I FCR (r = 0.84, P < .001) and PR (r = 0.79, P < .001) in men but not in women. Sixty-two percent of the variability in PR and 71% of the variability in FCR were due to BMI in men and only 3% and 23%, respectively, in women. In conclusion, BMI has a significant effect on apo A-I PR and FCR in men but not in women.     

Significant inverse relationship between serum free T4 concentration and body mass index in euthyroid subjects: differences between smokers and nonsmokers

Objective There are conflicting data regarding the relationship between thyroid function and body mass index (BMI) in euthyroid subjects, and it is uncertain whether tobacco smoking modifies this relationship. The objective of this study was to examine the relationships between thyroid function, BMI and smoking in euthyroid subjects. Design Linear regression models were used to examine the relationships between serum free T4, serum TSH, BMI and smoking in a cross‐sectional, community‐based sample of 1853 euthyroid subjects in Busselton, Western Australia. Results There was a significant negative relationship between free T4 and BMI: after adjustment for age and sex, each 1 pmol/l increase in free T4 was associated with a decrease in BMI of 0·12 kg/m² (95% CI 0·06, 0·18; P < 0·001). The mean BMI ± SD of subjects in the highest quintile of free T4 concentration was 24·4 ± 3·5 kg/m², compared with 26·1 ± 3·8 kg/m² for the lowest quintile. The relationship between free T4 and BMI was statistically significant (adjusted for age and sex) in subjects who had never smoked (P = 0·001) and former smokers (P = 0·011), but not in current smokers (P = 0·77). There was no significant relationship between TSH and BMI: after adjustment for age and sex, each 1 mU/l increase in TSH was associated with an increase in BMI of 0·08 kg/m² (95% CI –0·16, 0·32; P = 0·53). Conclusions In euthyroid subjects, small differences in free T4 are associated with differences in BMI. This relationship is not present in current smokers. We speculate that this may be relevant to weight changes associated with smoking cessation.     

Strength, mobility and falling in women referred to a geriatric outpatient clinic

BACKGROUND AND AIMS: Mobility impairment and falling have a multifactorial etiology in frail older people. Muscle weakness is one of the risk factors and is accessible to intervention. The aim of this study was to determine the most important contributors of mobility and indicators of fall occurrence in women referred to a geriatric outpatient clinic. METHODS: Mobility was assessed using the Timed 'Get-Up-and-Go' test (TGUG) and the modified Coopertest (COOP). Falling was assessed retrospectively and isometric knee extension force was measured using fixed dynamometry. Habitual physical activity was quantified using a questionnaire for the elderly. Height, weight, medical conditions and current medication were recorded. RESULTS: Isometric knee extension strength and habitual physical activity, which consisted predominantly of household work, were independent variables of performance on TGUG and COOP and together explained 57% of the variance in TGUG (r=0.75, p<0.001), and 64% of that in COOP, (r=0.80, p<0.001). Age, total number of medical conditions, and presence of cardiovascular disease were not significant in the model. Women in the lowest tertile of knee extension strength had a significantly higher probability of falling (0.75, 95% CI 0.56-0.91) compared with women in the highest tertile (0.27, 95% CI 0.14-0.50). CONCLUSIONS: Knee extension strength remains a strong determinant of mobility and fall occurrence in women referred to a geriatric outpatient clinic. Performing light to moderate household work remains independently associated with functional mobility.     

Obesity in Auckland school children: a comparison of the body mass index and percentage body fat as the diagnostic criterion.

OBJECTIVES: First, to determine obesity rates in Auckland school children according to their ethnic group using two different criteria: the body mass index (BMI) and percentage body fat (PBF) derived from bioelectrical impedance analysis (BIA). Second to examine the relationship between BMI and body composition across ethnic groups to determine if BMI references from European children accurately reflect obesity in other ethnic groups. DESIGN: A total of 2273 Auckland school children, aged 5-10.9 y had their height, weight and bioelectrical impedance measured. Using these measurements, each child's BMI, fat free mass, fat mass and PBF were derived. RESULTS: In all 14.3% of children were obese using the recommended definition of obesity (BMI) greater than the 95th percentile). There was no clinically significant difference in the relationship between BMI and body composition in different ethnic groups. Obesity rates varied with ethnicity (P<0.0001) and were higher in Pacific Island (24.1%) and Maori (15.8%) than in European children (8.6%). Obesity rates also varied with age (P<0.03), with the highest rates in older children. PBF levels were higher in females than males (P<0.0001). Using a definition of obesity based on percentage body fat (PBF>30%), obesity rates were higher in all ethnic groups. CONCLUSIONS: Obesity rates are high in Auckland school children and there are clear differences in obesity rates in different ethnic groups. If BMI criteria are used to define obesity in our population, we recommend the same standards be used for children of all ethnicities.     

临床病理队列研究:体重指数与甲状腺癌的病理特征及预后的关系

甲状腺癌发病率的增长位居各种恶性肿瘤的前列,据估计2009年美国有甲状腺癌新发病例约37 000,死亡病例约1 600.尽管其原因尚未完全阐明,但主要可能是由于过去二、三十年间颈部超声和超声引导下甲状腺活检的应用使更多的早期肿瘤得以发现.     

Serum leptin and ghrelin levels in premenopausal women with stable body mass index during treatment of thyroid dysfunction.

BACKGROUND: There are potentially complex interrelationships between thyroid function, leptin, ghrelin, body mass index (BMI), and percentage of body fat (%BF). The goal of this study was to determine if normalization of thyroid status in premenopausal women with hyperthyroidism and hypothyroidism would be associated with changes in serum leptin and ghrelin in the absence of thyroid dysfunction treatment-associated changes in BMI and %BF. METHODS: The study was carried out in 47 selected premenopausal women: 17 with hyperthyroidism, 11 with hypothyroidism, and 19 healthy individuals who constituted the control group. Patients with thyroid dysfunction were selected for study if their BMI and %BF did not change after treatment of thyroid dysfunction. Subjects in the control group were selected on the basis of the age, BMI, and the %BF characteristics of the patients with thyroid dysfunction. Concentrations of free thyroxine (fT4), free triiodothyronine (fT3), thyrotropin, leptin, and ghrelin in serum were determined before and after treatment of thyroid dysfunction and in the control group. RESULTS: Serum leptin concentrations were similar in patients with hyperthyroidism and hypothyroidism before treatment and in normal subjects and did not change significantly after treatment of hyperthyroidism or hypothyroidism. Serum ghrelin concentrations were lower in patients with hyperthyroidism, and higher in patients with hypothyroidism than in the control group (hypothyroidism = 2345 (1157-7015) [median (range)], hyperthyroidism = 1205 (438-2914), control = 2398 (1542-4920), p < 0.05). CONCLUSIONS: In premenopausal women with hyperthyroidism or hypothyroidism, treatment of thyroid dysfunction that is not associated with changes in BMI or %BF does not influence serum leptin but does affect serum ghrelin. Thyroid status itself, in the absence of alterations in the BMI and %BF, has an important influence on circulating ghrelin but not leptin.     

Association between body mass index and erosive esophagitis: a meta-analysis

AIM: To conduct a meta-analysis to estimate the determinants of the association between erosive esophagitis (EE) and body mass index (BMI).METHODS: We identified the studies using PubMed. Studies were selected for analysis based on certain inclusion and exclusion criteria. Data were extracted from each study on the basis of predefined items. Meta-analyses were performed to verify the risk factors, such as obesity and gender.RESULTS: Twenty-one studies were included in this systematic review. These studies demonstrated an association between increasing BMI and the presence of EE [95% confidence interval (CI): 1.35-1.88, overweight, odds ratio (OR) = 1.60, P value homogeneity = 0.003, 95% CI: 1.65-2.55, obese, OR = 2.05, P < 0.01]. The heterogeneity disappeared by stratifying for gender. No publication bias was observed in this meta-analysis by the Egger method.CONCLUSION: This analysis demonstrates a positive association between BMI and the presence of EE, especially in males. The risk seems to progressively increase with increasing weight.     

Relationships in women between body mass index and the intravascular metabolism of chylomicron-like emulsions

OBJECTIVE: To investigate whether increasing body mass index (BMI) produces increasingly intense disturbances in the metabolism of chylomicrons, the lipoproteins that carry the dietary lipids absorbed by the intestine in the circulation. SUBJECTS: Four groups of 10 normolipidemic nondiabetic women at the normal (BMI<25 kg/m(2)), preobese (BMI 25-30), obese (BMI 30-40) and morbid obese (BMI>40). METHODS: Chylomicron metabolism was studied using the method of triglyceride-rich emulsions that mimic chylomicrons. The chylomicron-like emulsion doubly labeled with (3)H-triolein (TO) and (14)C-cholesteryl-oleate (CO) was intravenously injected to calculate the plasma fractional clearance rates (FCR, in min(-1)) by a compartmental analysis model. FCR-TO mirrors both the lipolysis from lipoprotein lipase that the emulsion suffers while still in the circulation, and the triglycerides portion that is not broken down and is removed from the plasma together with the remnant particles. Lipolysis index is calculated subtracting CO from TO areas under the curve. RESULTS: FCR-TO did not differ among the four groups. The lipolysis index was positively correlated with BMI (r=0.310; P=0.05). On the other hand, FCR-CO progressively diminished from the normal to the morbid obese group (0.069+/-0.01; 0.064+/-0.01; 0.031+/-0.003; 0.029+/-0.005 min(-1), respectively, P=0.003) and there was a negative correlation between FCR-CO and BMI (r=-0.388; P=0.01). CONCLUSION: In obesity, the capacity to break down chylomicron triglycerides by lipoprotein lipase in vivo increases, but the ability of the organism to remove the resulting chylomicron remnants particles progressively diminishes as the BMI rises. Remnant accumulation most likely predisposes to coronary artery disease development.     

Obesity in young Dutch adults: I, socio-demographic variables and body mass index

The simultaneous contribution of various socio-demographic variables to body mass index (BMI; weight/height) was studied in young adults in three age groups (19-21, 24-26 and 29-31 yr) in a Dutch population. Medians of the BMI of males (n = 1765) and females (n = 2092) were 23.1 and 21.8 kg/m2, respectively. The prevalence of severe obesity (BMI greater than or equal to 30.0 kg/m2) was 2 per cent in both sexes. There was a positive relationship between age and BMI, while level of education and level of father's occupation were inversely related to BMI in both sexes. Married females who had given birth to two or more children weighed more than those with one or no children. The mean BMI of the males in the rural area was higher than that of the males in the urban area. Both the Lutheran males and females weighed more than the non-Lutherans. The mean BMI was lower in males attending church more frequently than once a month. There were no independent relationships between BMI and the other socio-demographic variables (marital status, main daily occupation, size of family of origin and birth order) in either sex. In conclusion, it can be stated that age and socio-economic status were the most important socio-demographic determinants of BMI. Socio-economic status can be useful in directed prevention of obesity.     

Family lifestyle and parental body mass index as predictors of body mass index in Australian children: a longitudinal study.

OBJECTIVE: To investigate associations between body mass index (BMI) and family characteristics, including lifestyle, in parents and offspring from Australian families. DESIGN AND SUBJECTS: Longitudinal survey of 219 families of Australian children who had been surveyed 3-yearly between the ages of 9 and 18 y. MEASUREMENTS: Socio-economic status, weight and height, diet from 3 day records or food frequency questionnaires, alcohol consumption, smoking habits and physical fitness in offspring (bicycle ergometry in 18-y-olds). RESULTS: In 18-y-olds, in models examining offspring's lifestyle variables, BMI was predicted negatively by physical fitness (P=0.012), and positively by alcohol intake (P=0.046) in sons while, in daughters, only a negative association with physical fitness was significant. In models including parental characteristics, BMI in 18-y-old sons and daughters was significantly predicted by mothers' and fathers' BMI, independently of offsprings' alcohol intake, smoking, physical fitness and parents' education, and, in daughters, by fathers' alcohol intake. These models explained 48% of variance in daughters and 33% in sons. In both sons and daughters, BMI over the 9 y of the survey was consistently higher in offspring with overweight or obese fathers (P=0.033 for sons, P=0.024 for daughters) or mothers (P=0.031 for sons, P=0.037 for daughters). Physical fitness at the ages of 12, 15 and 18 y was negatively related to fathers' obesity in daughters and mothers' obesity in sons. Obesity in fathers was associated with a four-fold increase in risk of obesity at the age of 18 y in both sons and daughters with an independent eight-fold increase in risk for daughters if mothers were obese. Birthweight was unrelated to overweight or obesity in the 18-y-olds. Alcohol intake in sons related significantly to alcohol intake in either parent while, for daughters, there was a significant association only with fathers' alcohol consumption. In daughters, fat intake was positively associated with fat intake score in both fathers and mothers. CONCLUSION: Parental overweight or obesity may identify children at risk for a range of unhealthy behaviours. Promotion of a healthy lifestyle targeting overweight families, particularly in lower socio-economic groups, should be a priority.