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Objective:To develop and validate a Dental Nutrition Knowledge Competency Scale to assess dental health-related nutrition knowledge of low-income women.Design:This is a cross-sectional study. A literature search for foods/dietary practices related to dental caries was conducted and the items were incorporated into an initial questionnaire. A panel of ten nutrition experts evaluated it for its content, readability and relevance, and a focus group of six low-income women determined its readability and comprehension. Then the questionnaire was administered to 150 low-income women. Construct validity was evaluated by item difficulty, item discrimination and factor analysis. Internal consistency reliability was tested via Cronbach’s α. In a sub-sample of forty women, test–retest reliability was established. Paired-sample t tests were conducted to examine differences between test scores at the two time points, 2 weeks apart.Settings:Community centres in low-income housing in Central Texas, USA.Participants:A total of 150 low-income women, aged 18–50 years; annual household income <250 % of the federal poverty level.Results:Item difficulty and discrimination analysis resulted in elimination of eight questions. Factor analysis identified twenty-four items that loaded on three factors related to knowledge. These included foods/dietary practices that affect dental caries, added sugars in foods and on food labels, and recommended frequency of oral hygiene practices. The subscales and the completed scale exhibited good internal consistency (mean 0·7 (sd 0·97)) and test–retest reliability (mean 0·8 (sd 0·013)).Conclusions:The Dental Nutrition Knowledge Competency Scale is a validated and reliable instrument to assess nutrition knowledge related to dental health in low-income women.

Objectives To examine the relationships between food security and prevalence and severity of periodontal disease in low-income women. Methods This cross-sectional study involved 220 women, 18–50 years of age, who were recruited from dental clinics and low-income households in Central Texas. On one visit, women completed a Demographic Survey and the United States Household Food Security Survey Module. Two trained dentists conducted dental screenings for evaluation of periodontal status, using two indices: Clinical Attachment Loss (CAL) and Bleeding on Probing (BOP) to discern severity of periodontitis. Multiple regression analysis was used to assess the effect of food insecurity on the status of periodontal disease, after adjustment for socioeconomic status. Results The mean age of participants was 38.13 ± 9.43 years. The majority were Hispanic, had completed a high school education, and had a mean income of <$25,000/year. Over half of the sample (54.55%) was food insecure, followed by marginally food secure (24.09%) and highly food secure (21.36%), based on cut off values of the Household Food Security Survey Module. Mean values for Clinical Attachment Loss and Bleeding on Probing were 1.742 ± 0.75 and 1.632 ± 2.23 respectively. These results indicated that the women exhibited periodontal disease, with stages of mild (56.83%), moderate (26.36%) and severe periodontitis (16.81%). Food insecurity was directly related to the severity of periodontal disease, as illustrated by the Clinical Attachment Loss (β-coefficient = 0.170, p value = 0.01) and Bleeding on Probing (β coefficient = 0.380, p value = 0.00), after adjustment for socioeconomic status. Conclusions Food insecure individuals appear to be at a great risk for periodontal disease. Whether this relationship is due to lack of food resources, improper dental equipment or hygiene, or nutrition knowledge will be explored as the study progresses. This health risk for periodontal disease should be incorporated into public health policies concerning food insecurity. Funding Sources Bess Heflin Centennial Professorship.

Oxytetracycline (OTC) is one of the most used antibiotics in veterinary medicine. There is a large concern about developing antibiotic resistance in humans as a result of the consumption of products contaminated with OTC, so a fast detection technique for an on-field screening test is highly in demand. Here we introduce a novel aptasensor for fast detection of OTC, based on a triple helix molecular switch (THMS) complex formation. The limit of detection (LOD) of this sensor was 1.67 and 6.44 nM in phosphate buffer and milk samples, respectively. Moreover, the sensor showed a high selectivity towards OTC.

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