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Biomedical subjects

Kathleen Hovey

Publications and source records attributed to Kathleen Hovey.

3 recordsLinked to original sources

The association between osteoporosis and alveolar crestal height in postmenopausal women.

BACKGROUND: Evidence supporting an association between osteoporosis and loss of alveolar crestal bone is limited. This study investigated that association in a large cohort of postmenopausal women. METHODS: A cohort of 1,341 postmenopausal women aged 53 to 85 were assessed for alveolar crestal height (ACH) and bone density. ACH was determined from oral radiographs with subjects dichotomized by disease severity. Bone density was assessed by dual energy x-ray absorptiometry, with severity determined by worst T score measured (normal >-1.00; low -1.00 to -2.00; moderate -2.01 to -2.49; osteoporotic <-2.5). RESULTS: Compared to subjects in the normal T-score group, the odds of worse ACH increased by 39%, 59%, and 230% for those in the low, moderate, and osteoporotic groups, respectively. Adjustment for weight, education, hormone use, calcium or vitamin D supplementation, and smoking did not appreciably change the findings. Further adjustment for age attenuated the association, with osteoporotic subjects having a 1.9-fold increase of being in the worst ACH group (95% confidence interval [CI] 1.19 to 3.05). After age stratification, in women younger than 70 there was a significant trend by decreasing T-score category (P <0.02). Osteoporotic subjects had worse ACH (odds ratio [OR] = 1.95; 95% CI 1.20 to 3.17). In women aged 70 and older, worse ACH was 2.5- to 4.6-fold increased for decreasing T-score category. After adjustment, the OR (95% CI) for the low, moderate, and osteoporotic groups were 2.66 (1.12 to 6.29), 2.31 (0.89 to 6.01), and 3.57 (1.42 to 8.97), respectively (P trend = 0.026). CONCLUSIONS: This study found a strong and consistent association between T score and ACH in postmenopausal women. Increasing age is an important modifier of that association.

Absorptiometry, Photon↗

A plant food-based diet modifies the serum beta-sitosterol concentration in hyperandrogenic postmenopausal women.

Plant sterols or phytosterols are common components of plant foods, especially plant oils, seeds and nuts, cereals and legumes. The most common phytosterols are campesterol, beta-sitosterol and stigmasterol. Phytosterols have anticarcinogenic properties. Previous studies have suggested that populations with low breast cancer incidence often consume diets high in phytosterols. The present study evaluated whether consumption of a plant food-based diet, low in animal fat, may increase serum phytosterol levels in postmenopausal women. One hundred and four women volunteers were randomized to dietary intervention or control groups. The dietary intervention included intensive dietary counseling to replace animal products with plant-based foods. Subjects in the dietary intervention group participated twice a week for 18 wk in workshops about the preparation and consumption of a plant food-based diet. The absolute change in serum total phytosterol concentration was greater in the dietary intervention group than in the control group. The percent change tended to differ between groups (P = 0.06). However, only for beta-sitosterol did the absolute and percent changes within a group differ significantly between groups (P = 0.0017). The decrease in serum total cholesterol in the dietary intervention group (-14%) was greater than that in the control group (-4%; P = 0.0005). The results of this study show that circulating levels of phytosterols can be affected by dietary modification. These findings indicate that phytosterols, in particular beta-sitosterol, can be used as biomarkers of exposure in observational studies or as compliance indicators in dietary intervention studies of cancer prevention.

Cholesterol↗

Alcohol drinking patterns differentially affect central adiposity as measured by abdominal height in women and men.

Alcohol drinking in light-to-moderate amounts has been associated with reduced coronary heart disease (CHD) risk. However, there is evidence that the way people consume alcohol (drinking pattern) may affect risk. Central adiposity, a known CHD risk factor may be one mechanism in the pathway between alcohol consumption and CHD risk. Our study examined whether various drinking patterns differentially affect fat distribution, particularly abdominal fat in women and men. In a randomly selected population-based cohort (n = 2343), 35-79 y old, we assessed drinking pattern as reported for the past 30 d, including beverage type and amount, frequency of consumption, percentage of time drinking while eating and number of drinks consumed/drinking day. Central adiposity was determined using an abdominal caliper to measure supine height of the abdomen. Current drinkers tended to have smaller abdominal heights than nondrinkers (women, P < 0.0001; men, P = 0.0559). For drinking pattern, frequency was inversely associated, but drinking intensity (drinks/drinking day) was positively associated with central adiposity in women (P trend for frequency, 0.0007; intensity, 0.0010) and men (P trend for frequency, 0.0005; intensity, 0.0004), even when age, education, physical activity, smoking status and amount of alcohol (g) were included in the models. When frequency and intensity were considered together, daily drinkers of <1 drink/drinking day had the smallest mean abdominal height measures with the largest measures in less than weekly drinkers who consumed 4 or more drinks/drinking day. These results support the hypothesis that drinking pattern affects the distribution of body fat, an important CHD risk factor.

Abdomen↗