MtDNA Profile of West Africa Guineans: Towards a Better Understanding of the Senegambia Region

The matrilineal genetic composition of 372 samples from the Republic of Guiné‐Bissau (West African coast) was studied using RFLPs and partial sequencing of the mtDNA control and coding region. The majority of the mtDNA lineages of Guineans (94%) belong to West African specific sub‐clusters of L0‐L3 haplogroups. A new L3 sub‐cluster (L3h) that is found in both eastern and western Africa is present at moderately low frequencies in Guinean populations. A non‐random distribution of haplogroups U5 in the Fula group, the U6 among the “Brame” linguistic family and M1 in the Balanta‐Djola group, suggests a correlation between the genetic and linguistic affiliation of Guinean populations. The presence of M1 in Balanta populations supports the earlier suggestion of their Sudanese origin. Haplogroups U5 and U6, on the other hand, were found to be restricted to populations that are thought to represent the descendants of a southern expansion of Berbers. Particular haplotypes, found almost exclusively in East‐African populations, were found in some ethnic groups with an oral tradition claiming Sudanese origin.     

Acceptability of computerized self-report of alcohol habits: a patient perspective.

The acceptability of computerized assessment of alcohol habits was explored in 57 consecutive out-patients over a 6-month period. Altogether, 46 men and 11 women agreed to complete a paper and pencil questionnaire exploring their opinion about computerized assessment. The study focused on the patients' acceptance of computerized testing and also on whether some sub-groups had reservations. The participants indicated that they had no general anxiety towards computers and did not mind being assessed by their use. Nearly half of the men were not convinced of the usefulness of computers as a means of asking about alcohol habits. The same level of confidence was recorded with regard to whether doctors would make better assessments using computers. Around one-quarter of both men and women were worried that computers might cause doctors to spend less time with the patients and that staff might lose the personal contact with patients. Because of the small sample size, we conclude tentatively that a computerized lifestyle test appears to be an acceptable method both to men and women with different educational backgrounds. However, two important issues need to be further addressed, namely concerns about confidentiality and loss of personal contact.     

Alterations in opioid system of the rat brain after cat odor exposure

The effect of cat odor exposure was studied on morphine-induced increase of exploratory behavior and on the expression of opioid genes in forebrain structures of male Wistar rats. Treatment with morphine (1 mg/kg) induced a significant increase in exploratory behavior in an unfamiliar environment in rats. Previous exposure of animals to cat odor completely abolished this stimulating action of mu-opioid receptor agonist on exploratory activity. Cat odor exposure induced a significant increase in the expression of pro-opio-melanocortin (POMC) and mu-opioid receptor (MOR) genes in the brain structures related to anxiety and motivation. This study clearly demonstrates that cat odor exposure increases the activity of opioid system in rat forebrain structures.     

The use of interleukin 12-secreting neural stem cells for the treatment of intracranial glioma

Neural stem cells (NSCs) are capable of tracking migrating glioma cells. To exploit this tropism to generate an antitumor T-cell response, particularly against disseminating tumor pockets, we inoculated intracranial glioma-bearing mice with interleukin 12 (IL-12) producing NSCs. Intratumoral therapy with IL-12-secreting NSCs prolonged survival compared to treatment with nonsecretory NSCs or saline. NSCs demonstrated strong tropism for disseminating glioma, and IL-12-secreting NSC therapy was associated with enhanced T-cell infiltration in tumor microsatellites and long-term antitumor immunity. These results indicate that the use of tumor tracking NSCs represents a potent new therapeutic modality for glioma.     

Proactive health computing

In an analysis departing from the global health situation, the foundation for a change of paradigm in health informatics based on socially embedded information infrastructures and technologies is identified and discussed. It is shown how an increasing computing and data transmitting capacity can be employed for proactive health computing. As a foundation for ubiquitous health promotion and prevention of disease and injury, proactive health systems use data from multiple sources to supply individuals and communities evidence-based information on means to improve their state of health and avoid health risks. The systems are characterised by: (1) being profusely connected to the world around them, using perceptual interfaces, sensors and actuators; (2) responding to external stimuli at faster than human speeds; (3) networked feedback loops; and (4) humans remaining in control, while being left outside the primary computing loop. The extended scientific mission of this new partnership between computer science, electrical engineering and social medicine is suggested to be the investigation of how the dissemination of information and communication technology on democratic grounds can be made even more important for global health than sanitation and urban planning became a century ago.     

Mortality and causes of death after traumatic spinal cord injury in Estonia

Abstract

Study design

Retrospective population-based study with mortality follow-up.

Objective

To study mortality, causes and risk factors for death in Estonian patients with traumatic spinal cord injury (TSCI).

Setting

All Estonian hospitals.

Methods

Medical records of patients with TSCI from all regional, central, general, and rehabilitation hospitals in Estonia from 1997 to 2007, were retrospectively reviewed. Mortality status was ascertained as of 31 December 2011. Causes of death were collected from the Estonian Causes of Death Registry. Standardized mortality ratios (SMRs) were calculated for the entire sample and for causes of death. A Cox proportional hazards modeling was used to identify the risk indicators for death.

Results

During the observation period (1997–2011) 162 patients of 595 died. Nearly half of the patients (n = 76) died during the first year after TSCI. The main causes of death were external causes (30%), cardiovascular disease (29%). and suicide (8%). The overall SMR was 2.81 (95% confidence interval 2.40–3.28) and SMR was higher for women than for men (3.80 vs. 2.70). Cause-specific SMRs were markedly elevated for sepsis and suicide. Mortality was significantly affected by the age at the time of injury, neurological level, and extent of the injury as well as the year of TSCI and complications.

Conclusion

Life expectancy is significantly decreased in patients with TSCI in Estonia compared with the general population. Deaths during the first year after the injury have an important impact on statistics. Treatment of cardiovascular diseases, infections, and prevention of suicide are useful for reducing mortality in patients with TSCI.     

A Mobile Phone Based Method to Assess Energy and Food Intake in Young Children: A Validation Study against the Doubly Labelled Water Method and 24 h Dietary Recalls

Mobile phones are becoming important instruments for assessing diet and energy intake. We developed the Tool for Energy Balance in Children (TECH), which uses a mobile phone to assess energy and food intake in pre-school children. The aims of this study were: (a) to compare energy intake (EI) using TECH with total energy expenditure (TEE) measured via doubly labelled water (DLW); and (b) to compare intakes of fruits, vegetables, fruit juice, sweetened beverages, candy, ice cream, and bakery products using TECH with intakes acquired by 24 h dietary recalls. Participants were 39 healthy, Swedish children (5.5 ± 0.5 years) within the ongoing Mobile-based Intervention Intended to Stop Obesity in Preschoolers (MINISTOP) obesity prevention trial. Energy and food intakes were assessed during four days using TECH and 24 h telephone dietary recalls. Mean EI (TECH) was not statistically different from TEE (DLW) (5820 ± 820 kJ/24 h and 6040 ± 680kJ/24 h, respectively). No significant differences in the average food intakes using TECH and 24 h dietary recalls were found. All food intakes were correlated between TECH and the 24 h dietary recalls (ρ = 0.665–0.896, p < 0.001). In conclusion, TECH accurately estimated the average intakes of energy and selected foods and thus has the potential to be a useful tool for dietary studies in pre-school children, for example obesity prevention trials.     

Assessing parents,youth athletes and coaches subjective health literacy: A cross-sectional study

ObjectivesThe aim was to describe levels of subjective Health Literacy (HL), and to examine possible differences in prevalence proportions between sexes, age groups and level of educations among youth athletes and their mentors (coaches, parents/caregivers) in Swedish Athletics.DesignCross-sectional.MethodsData on subjective HL were collected using the Swedish Communicative and Critical Health Literacy (S-CCHL) instrument for mentors and for youth the School-Aged Children (HLSAC) instrument. Questions assessing mentors’ literacy on sports injury and return to play were also included.ResultsThe surveys were completed by 159 (91%) mentors and 143 youth athletes (87%). The level of S-CCHL was sufficient in 53% of the mentors. Of youth athletes, 28% reported a high level of HL and the item with least perceived high HL (21%) was critical thinking. Ninety-four percent of the mentors believed that it is quite possible to prevent injuries in athletics and 53% perceived having a very good knowledge about how to prevent injuries. Forty-six percent of the mentors perceived having a very good knowledge of return to sport criteria.ConclusionsThe level of health literacy was low with about half of the mentors and one out of three youth athletes having adequate HL levels. Only half of the mentors stated having a good knowledge of various injury prevention strategies. To reduce health consequences in youth sport and enable talent development more work is needed to understand the facilitators and barriers for the uptake of various health promotion and injury prevention strategies.     

Performance of eHealth Data Sources in Local Influenza Surveillance: A 5-Year Open Cohort Study

Background

There is abundant global interest in using syndromic data from population-wide health information systems—referred to as eHealth resources—to improve infectious disease surveillance. Recently, the necessity for these systems to achieve two potentially conflicting requirements has been emphasized. First, they must be evidence-based; second, they must be adjusted for the diversity of populations, lifestyles, and environments.

Objective

The primary objective was to examine correlations between data from Google Flu Trends (GFT), computer-supported telenursing centers, health service websites, and influenza case rates during seasonal and pandemic influenza outbreaks. The secondary objective was to investigate associations between eHealth data, media coverage, and the interaction between circulating influenza strain(s) and the age-related population immunity.

Methods

An open cohort design was used for a five-year study in a Swedish county (population 427,000). Syndromic eHealth data were collected from GFT, telenursing call centers, and local health service website visits at page level. Data on mass media coverage of influenza was collected from the major regional newspaper. The performance of eHealth data in surveillance was measured by correlation effect size and time lag to clinically diagnosed influenza cases.

Results

Local media coverage data and influenza case rates showed correlations with large effect sizes only for the influenza A (A) pH1N1 outbreak in 2009 (r=.74, 95% CI .42-.90; P<.001) and the severe seasonal A H3N2 outbreak in 2011-2012 (r=.79, 95% CI .42-.93; P=.001), with media coverage preceding case rates with one week. Correlations between GFT and influenza case data showed large effect sizes for all outbreaks, the largest being the seasonal A H3N2 outbreak in 2008-2009 (r=.96, 95% CI .88-.99; P<.001). The preceding time lag decreased from two weeks during the first outbreaks to one week from the 2009 A pH1N1 pandemic. Telenursing data and influenza case data showed correlations with large effect sizes for all outbreaks after the seasonal B and A H1 outbreak in 2007-2008, with a time lag decreasing from two weeks for the seasonal A H3N2 outbreak in 2008-2009 (r=.95, 95% CI .82-.98; P<.001) to none for the A p H1N1 outbreak in 2009 (r=.84, 95% CI .62-.94; P<.001). Large effect sizes were also observed between website visits and influenza case data.

Conclusions

Correlations between the eHealth data and influenza case rates in a Swedish county showed large effect sizes throughout a five-year period, while the time lag between signals in eHealth data and influenza rates changed. Further research is needed on analytic methods for adjusting eHealth surveillance systems to shifts in media coverage and to variations in age-group related immunity between virus strains. The results can be used to inform the development of alert-generating eHealth surveillance systems that can be subject for prospective evaluations in routine public health practice.