An exploration of knowledge and attitudes related to pre-pregnancy care in women with diabetes

Aims: Pre-pregnancy care optimizes pregnancy outcome in women with pre-gestational diabetes, yet most women enter pregnancy unprepared. We sought to determine knowledge and attitudes of women with Type 1 and Type 2 diabetes of childbearing age towards pre-pregnancy care.

Methods: Twenty-four women (18 with Type 1 diabetes and six with Type 2 diabetes) aged 17–40 years took part in one of four focus group sessions: young nulliparous women with Type 1 diabetes (Group A), older nulliparous women with Type 1 diabetes (Group B), parous women with Type 1 diabetes (Group C) and women with Type 2 diabetes of mixed parity (Group D).

Results: Content analysis of transcribed focus groups revealed that, while women were well informed about the need to plan pregnancy, awareness of the rationale for planning was only evident in parous women or those who had actively sought pre-pregnancy advice. Within each group, there was uncertainty about what pre-pregnancy advice entailed. Despite many women reporting positive healthcare experiences, frequently cited barriers to discussing issues around family planning included unsupportive staff, busy clinics and perceived social stereotypes held by health professionals.

Conclusions: Knowledge and attitudes reported in this study highlight the need for women with diabetes, regardless of age, marital status or type of diabetes, to receive guidance about planning pregnancy in a motivating, positive and supportive manner. The important patient viewpoints expressed in this study may help health professionals determine how best to encourage women to avail of pre-pregnancy care

The biology and ecology of the ocean sunfish Mola mola: a review of current knowledge and future research perspectives

Relatively little is known about the biology and ecology of the world's largest (heaviest) bony fish, the ocean sunfish Mola mola, despite its worldwide occurrence in temperate and tropical seas. Studies are now emerging that require many common perceptions about sunfish behaviour and ecology to be re-examined. Indeed, the long-held view that ocean sunfish are an inactive, passively drifting species seems to be entirely misplaced. Technological advances in marine telemetry are revealing distinct behavioural patterns and protracted seasonal movements. Extensive forays by ocean sunfish into the deep ocean have been documented and broad-scale surveys, together with molecular and laboratory based techniques, are addressing the connectivity and trophic role of these animals. These emerging molecular and movement studies suggest that local distinct populations may be prone to depletion through bycatch in commercial fisheries. Rising interest in ocean sunfish, highlighted by the increase in recent publications, warrants a thorough review of the biology and ecology of this species. Here we review the taxonomy, morphology, geography, diet, locomotion, vision, movements, foraging ecology, reproduction and species interactions of M. mola. We present a summary of current conservation issues and suggest methods for addressing fundamental gaps in our knowledge.

Trends in reported sun bed use, sunburn, and sun care knowledge and attitudes in a UK region: results of a survey of the Northern Ireland population

Background Sunburn and sun bed use increase risk of malignant melanoma, the incidence of which continues to rise.

Coronary heart disease: health knowledge and behaviour

Objective To determine the current level of knowledge and understanding of CHD in the general public in Northern Ireland and to identify factors that are associated with higher knowledge levels. Setting Six provincial centres in Northern Ireland. Methods The data in the present study were collected using an interview administered questionnaire. 1,000 members of the general public were interviewed face-to-face. CHD knowledge was computed as a continuous variable, i.e. higher score represents better CHD knowledge. Main outcome measure CHD knowledge in the general public in Northern Ireland. Results Study respondents displayed limited knowledge and understanding of CHD. Study respondents who achieved higher CHD knowledge scores were more likely to report: exercising for 30 min three times or more per week, paying attention to their diet, being overweight, having a family history of CHD, living in a higher socioeconomic area (according to postcode) and having attended tertiary education. Respondents in the present study while recognising the role that community pharmacists had to play in helping patients manage their prescribed medicines, did not recognise the community pharmacists' role in other aspects of CHD detection or management. Conclusion The deficit in CHD knowledge could translate into inadequate preventative behaviour patterns and suboptimal clinical outcomes. If community pharmacists wish to become increasingly involved in public health delivery relating to CHD they need to develop effective and accessible services and promote these to the public who at present do not recognise this role of the community pharmacist.

Predicting community responses to perturbations in the face of imperfect knowledge and network complexity

How best to predict the effects of perturbations to ecological communities has been a long-standing goal for both applied and basic ecology. This quest has recently been revived by new empirical data, new analysis methods, and increased computing speed, with the promise that ecologically important insights may be obtainable from a limited knowledge of community interactions. We use empirically based and simulated networks of varying size and connectance to assess two limitations to predicting perturbation responses in multispecies communities: (1) the inaccuracy by which species interaction strengths are empirically quantified and (2) the indeterminacy of species responses due to indirect effects associated with network size and structure. We find that even modest levels of species richness and connectance (similar to 25 pairwise interactions) impose high requirements for interaction strength estimates because system indeterminacy rapidly overwhelms predictive insights. Nevertheless, even poorly estimated interaction strengths provide greater average predictive certainty than an approach that uses only the sign of each interaction. Our simulations provide guidance in dealing with the trade-offs involved in maximizing the utility of network approaches for predicting dynamics in multispecies communities.