69 research outputs found

    Determinants of serum zinc in a random population sample of four Belgian towns with different degrees of environmental exposure to cadmium

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    This report investigated the distribution of serum zinc and the factors determining serum zinc concentration in a large random population sample. The 1977 participants (959 men and 1018 women), 20–80 years old, constituted a stratified random sample of the population of four Belgian districts, representing two areas with low and two with high environmental exposure to cadmium. For each exposure level, a rural and an urban area were selected. The serum concentration of zinc, frequently used as an index for zinc status in human subjects, was higher in men (13.1 μmole/L, range 6.5–23.0 μmole/L) than in women (12.6 μmole/L, range 6.3–23.2 μmole/L). In men, 20% of the variance of serum zinc was explained by age (linear and squared term, R = 0.29), diurnal variation (r = 0.29), and total cholesterol (r = 0.16). After adjustment for these covariates, a negative relationship was observed between serum zinc and both blood (r = −0.10) and urinary cadmium (r = −0.14). In women, 11% of the variance could be explained by age (linear and squared term, R = 0.15), diurnal variation in serum zinc (r = 0.27), creatinine clearance (r = −0.11), log γ-glutamyltranspeptidase (r = 0.08), cholesterol (r = 0.07), contraceptive pill intake (r = −0.07), and log serum ferritin (r = 0.06). Before and after adjustment for significant covariates, serum zinc was, on average, lowest in the two districts where the body burden of cadmium, as assessed by urinary cadmium excretion, was highest. These results were not altered when subjects exposed to heavy metals at work were excluded from analysis

    How does the health and well-being of young Australian vegetarian and semi-vegetarian women compare with non-vegetarians?

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    Objective: To compare the sociodemographic characteristics, health status and health service use of vegetarians, semi-vegetarians and non-vegetarians. Design: In cross-sectional data analyses of the Australian Longitudinal Study on Women's Health in 2000, 9113 women (aged 22-27 years) were defined as non-vegetarians if they reported including red meat in their diet., as semi-vegetarians if they excluded red meat and as vegetarians if they excluded meat, poultry and fish from their diet. Results: The estimated prevalence was 3% and 10% for vegetarian and semi-vegetarian young women. Compared with non-vegetarians, vegetarians and semi-vegetarians were more likely to live in urban areas and to not be married. Vegetarians and semi-vegetarians had lower body mass index (mean (95% confidence interval): 22.2 (21.7-22.7) and 23.0 (22.7-23.3) kg m(-2)) than non-vegetarians (23.7 (23.6-23.8) kg m(-2)) and tended to exercise more. Semi-vegetarians and vegetarians had poorer mental health, with 21-22% reporting depression compared with 15% of non-vegetarians (P < 0.001). Low iron levels and menstrual symptoms were also more common in both vegetarian groups. Vegetarian and semi-vegetarian women were more likely to consult alternative health practitioners and semi-vegetarians reported taking more prescription and non-prescription medications. Compared with non-vegetarians, semi-vegetarians were less likely and vegetarians much less likely to be taking the oral contraceptive pill. Conclusion: The levels of physical activity and body mass indices of the vegetarian and semi-vegetarian women suggest they are healthier than non-vegetarians. However, the greater reports of menstrual problems and the poorer mental health of these young women may be of clinical significance

    Abdominal Adiposity Distribution in Diabetic/Prediabetic and Nondiabetic Populations: A Meta-Analysis

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    Excess fat in the abdomen can be classified generally as visceral and subcutaneous adiposity. Evidence suggests that visceral adiposity has greater implications for diabetes than other fat depots. The purpose of this study is to explore the disparities in the distribution of abdominal adiposity in diabetic/prediabetic and nondiabetic populations and to identify moderators that influence the pattern of central obesity via a meta-analysis technique. The Hedges’ g was used as a measure of effect size and 95% confidence interval was computed. A total of 41 relevant studies with 101 effect sizes were retrieved. Pooled effect sizes for visceral and subcutaneous adiposity were 0.69 and 0.42, respectively. Diabetic/prediabetic populations exhibited greater visceral and subcutaneous adiposity compared to nondiabetic populations (Z=10.35, P<0.05). Significant moderator effects of gender (Z=-2.90) and assessment method of abdominal adiposity (Z=-2.17) were found for visceral fat (P<0.05), but not for subcutaneous fat. Type of health condition influenced both visceral (Z=-5.10) and subcutaneous (Z=-7.09) abdominal adiposity volumes (P<0.05). Abdominal adiposity distributions were significantly altered in the diabetic/prediabetic population compared to the nondiabetic population. Gender, assessment method of abdominal adiposity, and type of health conditions (diabetic/prediabetics) were identified as crucial moderators that influence the degree of abdominal adiposity

    Abdominal Adiposity Distribution in Diabetic/Prediabetic and Nondiabetic Populations: A Meta-Analysis

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    Excess fat in the abdomen can be classified generally as visceral and subcutaneous adiposity. Evidence suggests that visceral adiposity has greater implications for diabetes than other fat depots. The purpose of this study is to explore the disparities in the distribution of abdominal adiposity in diabetic/prediabetic and nondiabetic populations and to identify moderators that influence the pattern of central obesity via a meta-analysis technique. The Hedges&apos; was used as a measure of effect size and 95% confidence interval was computed. A total of 41 relevant studies with 101 effect sizes were retrieved. Pooled effect sizes for visceral and subcutaneous adiposity were 0.69 and 0.42, respectively. Diabetic/prediabetic populations exhibited greater visceral and subcutaneous adiposity compared to nondiabetic populations ( = 10.35, &lt; 0.05). Significant moderator effects of gender ( = −2.90) and assessment method of abdominal adiposity ( = −2.17) were found for visceral fat ( &lt; 0.05), but not for subcutaneous fat. Type of health condition influenced both visceral ( = −5.10) and subcutaneous ( = −7.09) abdominal adiposity volumes ( &lt; 0.05). Abdominal adiposity distributions were significantly altered in the diabetic/prediabetic population compared to the nondiabetic population. Gender, assessment method of abdominal adiposity, and type of health conditions (diabetic/prediabetics) were identified as crucial moderators that influence the degree of abdominal adiposity

    Influence of knowledge, attitudes, and behaviors of added sugars consumption on periodontal status in low-income women

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    Abstract Background Periodontitis is a chronic inflammatory disease caused by interactions between bacterial infection and host response. Nutrition education plays an important role in preventing oral health diseases and related problems. The present research will assess oral hygiene practices, nutrition knowledge, attitudes, and behaviors related to added sugars, within the context of periodontal disease in low-income women. Methods A pre-validated Dental Nutrition Attitudes, Beliefs, and Behaviors questionnaire was distributed among 220 low-income women. Periodontal disease was measured using clinical attachment loss and probing pocket depth. One-way ANOVA, linear, and multivariate logistic regression were utilized for analysis. Results Linear regression analysis exhibited significant positive associations of knowledge with attitude (r = 0.190, P = 0.000), and behavior (r = 0.298, P = 0.000), as well as attitude with behavior (r = 0.542, P = 0.000) of the low-income women. Women who scored higher on knowledge subscale were less likely to be in stage 2 [OR = 0.21, 95% CI: 0.008–0.582, P = 0.002] and 3 [OR = 0.32, 95% CI: 0.009–0.916, P = 0.021], as compared to the lower stage. Those who scored higher on the attitude and behavior subscales were less likely to be in stage 2 [OR = 0.191, 95% CI: 0.066-.0559, P = 0.003 vs OR = 0.501, 95% CI: 0.172–1.461, P = 0.046] and 3 [OR = 0.178, 95% CI: 0.051–0.620, P = 0.007 vs OR = 0.215, 95% CI: 0.062–0.744, P = 0.015] than in stage 1. Conclusions Significant limited dental nutrition attitude, belief, and behavior regarding periodontal disease were observed. Health care professionals and dentists should provide nutrition counseling about periodontal disease during health care delivery visits
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