Gender differences in the relation between depression and social support in later life.

BACKGROUND: Prevalence of depression is twice as high in women as in men, also in older adults. Lack of social support is a risk factor for late-life depression. The relation between depression and social support may be different for men and women. METHODS: Data from the Longitudinal Aging Study Amsterdam were used to investigate gender differences in the relation between social support and depression in a population-based sample aged 55-85 years, with n = 2,823 at baseline and using the 13-year follow-up data on onset of depression. RESULTS: Respondents without a partner in the household, with a small network, and with low emotional support were more often depressed, with men showing higher rates of depression than women. A high need for affiliation was associated with depression in women but not in men. Lack of a partner in the household and having a small network predicted onset of depression in men but not in women. In respondents with high affiliation need and low social support, depression rates were higher, with men being more often depressed than women. CONCLUSIONS: Low social support and a high need for affiliation were related to depression in later life, with men being more vulnerable for depression than women. Considering the serious consequences of depression, especially in older people, it is important to identify the persons with low social support and a high need for affiliation, and to help them to increase their social support or to adjust their needs.

Within- and across-person uniformity of body condition scoring in Danish Holstein cattle.

Body condition scores (BCS) are very useful for dairy herd management and breeding programs, but the consistency and quality of recordings made by consultants in the field are unknown. The objectives of this study were 1) to estimate the agreement in BCS within and among practicing dairy veterinarians and 2) to provide an indication of the effects of training and the value of calibration, and of what efforts need to be made to obtain a validity and precision in BCS adequate for management purposes. A total of 2,230 scores were recorded by 51 practicing dairy veterinarians and 6 highly trained instructors. The 6 instructors were cross-trained to validate calibration consistency in assigning BCS. Each individual scored approximately 20 cows twice, with the second scoring occurring approximately 2.5 h after the first. Between the 2 recordings, the respective instructors conducted a training session for the practicing veterinarians using other cows. A weighted kappa coefficient was used to assess agreement among and within classifiers. Excellent agreement (kappa > or = 0.86) was documented between repeated BCS recorded for the same cows by the highly trained instructors. In addition, the BCS provided by multiple classifiers from the instructor team appeared to be comparable across herds and classifiers. This legitimizes the use of BCS for benchmarking at both the cow and the herd level. The within-classifier and between-classifier kappa values were in the ranges of 0.22 to 0.75 and 0.17 to 0.78, respectively, in the group of practicing dairy veterinarians. Many of the veterinarians provided estimates of average BCS that differed considerably from the BCS recorded by the instructors. Between-classifier comparisons of herd BCS are not warranted unless a validation has been performed. If scores are collected by multiple classifiers with varying experience, a valid but imprecise estimate of the true population mean of BCS may be obtained if classifiers are inexperienced. The limited training effort used in this study seemed to have brought about substantial improvement in the validity and precision of the BCS determined by practicing veterinarians, compared with the BCS recorded on the same cows by highly trained classifiers.

Use of Multicriteria Risk Ranking of Zoonotic Diseases in a Developing Country: Case Study of Mongolia.

Many developing countries face significant health burdens associated with a high incidence of endemic zoonoses and difficulties in integrated control measures for both the human and animal populations. The objective of this study was to develop and apply a multicriteria ranking model for zoonoses in Mongolia, a country highly affected by zoonotic disease, to inform optimal resource allocation at the national level. Diseases were evaluated based on their impact on human health, livestock sector health and the wider society through affects on the economic value of livestock, as well as the feasibility of control in both the human and livestock population. Data on disease in Mongolia were collected from various government departments including the Mongolian State Central Laboratory, the Mongolian Department of Veterinary and Animal Breeding, the Mongolian Ministry of Health, Mongolian National Center for Communicable Diseases, the National Center for Zoonotic Disease and expert opinion from a workshop with a number of Mongolian Government officials and researchers. A combined score for both impact of the disease and feasibility of its control was calculated. Five zoonotic diseases were determined to be of high priority from this assessment (i.e. ovine brucellosis, echinococcosis (hydatids), rabies, anthrax and bovine brucellosis). The results supported some of the findings for high-priority diseases (namely brucellosis, rabies and anthrax) from a previous priority setting exercise carried out in Mongolia in 2011, but also identified and ranked additional animal diseases of public health importance. While the process of model development was largely Mongolian specific, the experience of developing and parameterizing this multicriteria ranking model could be replicated by other countries where zoonoses have substantive impacts on both animal and human health.

Monitoring an epidemic of Theileria-associated bovine anaemia (Ikeda) in cattle herds in New Zealand.

Monitoring an epidemic of an emerging vector-borne disease can be problematic; particularly in a country where vector-borne disease has previously had minimal impact on livestock. This paper describes methods of past and current surveillance of the Theileria-associated bovine anaemia (Ikeda; TABA) epidemic in New Zealand, and the resulting inferences made. Over the three year period of the TABA epidemic a portfolio of surveillance methods has been used: case reporting (with subsidised PCR testing), syndromic surveillance, sentinel surveillance, testing convenience samples for herd infection, as well as specific active surveillance initiatives to understand the tick vector distribution. Surveillance data have shown that the number of affected cattle herds has continued to increase over time with seasonal peaks in spring and autumn coinciding with peak activity of nymph and adult ticks respectively. In spring 2014, the epidemic extended south into areas that were previously considered to be unsuitable for the tick vector. As a result a survey was initiated that showed that ticks were present in areas outside of the known distribution. Testing pooled blood samples from cattle herds across New Zealand showed there still remained a significant percentage of herds where only non-Ikeda type infections were present, indicating that these herds were at risk of future TABA (Ikeda) outbreaks. For some regions there had been a noticeable increase in the percentage of herds infected, yet with only a small increase in the number of outbreaks compared with the previous year. Thus, outbreaks had either gone unobserved or had not been confirmed by testing. In these regions extensive low-input beef farming could explain the non-detection observed. There was a close relationship between the number of syndromic reports of anaemia and the number of confirmed cases of TABA (Ikeda), (P<0.01, adjusted R-squared=0.74). Active monitoring of the epidemic for a three year period has provided valuable insight into seasonal nature of the disease and its continuing impact. Information from multiple surveillance sources can help build up an understanding of the epidemiology, even when data from each individual surveillance stream are limited. The TABA (Ikeda) epidemic in New Zealand represents a useful case study of long term monitoring where disease is caused by an emerging pathogen.

Heartwater (Cowdria ruminantium infection) as a cause of postrestocking mortality of goats in Mozambique.

A serological survey in Mozambique to detect antibodies to Cowdria ruminantium, the etiologic agent of heartwater, revealed a seroprevalence of 8.1% (n = 332) for goats in the northern province of Tete and of 65.6% (n = 326) for goats in the southern provinces. Translocation of 10 serologically negative goats from Tete to farms in the south resulted in two clinical cases of heartwater that were fatal. In addition, four goats seroconverted within the study period of 5 weeks. One goat showed no symptoms. Two goats died of other causes, whereas the remaining goat went missing after 1 week. Experimental needle infections of goats and sheep were conducted to confirm results and to isolate different strains of C. ruminantium. These data indicate that translocation of goats from the north to the south of Mozambique bears a high risk of C. ruminantium infection, which can cause fatal disease.