A STUDY OF ZINC CONCENTRATION IN HAIR AS AN INDICATION OF ZINC IMBALANCES

Trace metal imbalances have been implicated in several disease and nutritional states. There is mounting concern to identify the nutritional balance of the trace metals needed for growth, mental acuity and physical functioning. These two factors, diseases in which trace metals show involvement and nutritional balance, have made it necessary to be able to accurately describe the trace metal balances of an individual. Although several investigators have measured the concentration of trace metals in the hair and related those observed concentrations to various disease and nutritional states, no one has satisfactorily answered the questions of whether hair is useful to determine trace metal imbalances, whether the concentrations found in hair reflect tissue or serum concentrations of the trace metals, or whether any tissue accurately reflects body status of the trace metals.^ Male mice were used to examine several tissues, heart, liver, kidney, spleen, intestine, brain, bone, hair and serum for copper and zinc concentrations. The environment and dietary intake of the animals were carefully controlled, so that environmental and physical variables were minimized. Dietary intake of zinc was varied while copper intake was held constant. Each experimental diet group was matched with a pair fed control group.^ Of the tissues examined, only the serum was indicative of an early state of zinc imbalance. Neither hair nor the other tissues examined for copper and zinc concentrations were indicative of an acute zinc imbalance in a normal mature mouse. Zinc deficiencies or excesses may manifest themself differently in the chronic imbalance state or in the weanling, aged or traumatized mouse. The tissue response to zinc imbalance may vary in these cases. ^

Locus of control as a predictor of students dropping out of high school

Education is related to health. In cross-sectional data, education level has been associated with physical functioning. Also, lower levels of education have been associated with health behaviors including smoking, alcohol use, and greater body weight. In school, students may benefit from greater exposed to health-related messages, while students who have dropped out may be more susceptible to influences regarding negative health behaviors such as smoking. ^ Improved school retention might improve long-term health outcomes. However, there is limited evidence regarding modifiable factors that predict likelihood of dropping out. Two likely psychosocial measures are locus of control and parent-child academic conversations. In the current study, data from two waves of a population-based longitudinal survey, the National Education Longitudinal Survey, were utilized to evaluate whether these two psychosocial measures could predict likelihood of dropping out, for students (n = 16,749) in tenth grade at 1990, with dropout status determined at 1992, while controlling for recognized sociodemographic predictors including parental income, parental education level, race/ethnicity, and sex. Locus of control was measured with the Pearlin Mastery Scale, and parent-child academic conversations were measured by three questions concerning course selection at school, school activities and events, and things the student studied in class. ^ In a logistic regression model, with the sociodemographic control measures entered in a first step before entry of the psychosocial measures in a second step, this study determined that lower levels of locus of control were associated with greater likelihood of dropping out after two years (odds ratio (OR) = 1.11, 95% confidence interval (CI) 108 to 1.15, p < .001), and two of the three parent-child academic discussion items were associated with greater likelihood of dropping out after two years (OR = 1.69, CI 1.48-1.93, p < .001; OR = 1.22, CI 1.05-1.41, p = .01; OR = 1.01, CI .88-1.15, p = .94). ^ It is possible that interventions aimed at improving locus of control, and aimed at building parent-child academic conversations, could lower the likelihood of students dropping out, and this in turn could yield improved heath behaviors and health status in the child's future. ^

The impact of antibiotic associated diarrhea on health related quality of life in hospitalized patients

Objective. To determine the impact of antibiotic associated diarrhea (AAD) on health related quality of life (HRQOL) in hospitalized patients compared to matched controls without diarrhea. ^ Methods. This is a hospital-based, matched case-control study using secondary data from a prospective cohort trial of patients receiving broad-spectrum antibiotics. One hundred and seventy-eight patients were recruited of whom 18 (10%) reported having antibiotic associated diarrhea. Two non-diarrhea controls were selected for each case with diarrhea giving a final sample of 18 cases and 36 controls. Responses from Short Form (SF) 36 questionnaire were aggregated into eight domains including physical functioning (PF), role-functioning physical (RP), bodily pain (BP), general health (GH), social functioning (SF), vitality (VT), role-functioning emotional (RE), and mental health (MH). The eight domains were compared between cases and controls. A GI targeted HRQOL measure was administered to 13 patients with AAD. Responses from the disease-specific instrument were combined in eight subscale scores: dysphoria, interference with activity, body image, health worry, food avoidance, social reaction, sex, and relationships. ^ Results. The sample consisted of 41 females (75.9%) and 13 males (24.1%) aged 53.5 ± 14.4 years (range: 21-76 years). Twenty five patients (46%) were Caucasian, 15 (27%) were African American, 13(24%) were Hispanic and 1(2%) was Asian. In univariate analysis, no significant differences in quality of life outcomes were observed in each of the SF36 domains between the case patients and matched controls. There were trends for decreased scores on the role-functioning physical, bodily pain, general health, social functioning, mental health, and mental summary domains. In total, 7 of 8 domain scores were lower in patients with AAD and 5 of 8 domain scores were lower by more than 5 points (considered clinically significant). Controlling for age, patients with antibiotic associated diarrhea had significantly lower general health, vitality, and mental health scale scores (p<0.05 each). The disease-specific scores were significantly lower in patients with AAD than those in published norms for irritable bowel syndrome patients. ^ Conclusion. In this small sample, several areas of decreased QOL in patients with AAD compared to matched controls were noted. A larger sample size to validate these results is necessary.^

Integrating diabetes self-management with the health goals of older adults: A qualitative exploration

Objective. This study investigates the life and health goals of older adults with diabetes, and explores the factors that influence their diabetes self-management. Methods: Qualitative in-depth interviews were conducted with 24 older adults with diabetes and other morbid conditions and/or their caregivers, when appropriate. ^ Results. Participants’ provided a consistent set of responses when describing life and health goals. Participants described goals for longevity, better physical functioning, spending time with family, or maintaining independence. Diabetes discordant conditions, but not diabetes, were seen as barriers to life goals for participants with functional impairments. Functionally independent participants described additional health goals that related to diabetes self-management as diabetes was seen often a barrier to life goals. Caregivers, co-morbid conditions, denial and retirement were among the factors that influenced initiation of diabetes self-management. ^ Conclusion. Participants endorsed health goals and diabetes self-management practices that they believed would help them accomplish their life goals. Functional capabilities and social support were key factors in the relationship between diabetes self-management and their broader goals. ^ Practice implications. When planning diabetes treatments, clinicians, patients and caregivers should discuss the relationship between diabetes self-management and health and life goals as well as the affects of functional limitations and caregiver support.^