Determinants for cassava production expansion in the semi-arid zone of West Africa

The study focuses on evaluating factors that farmers consider relevant in adopting cassava production in five semi-arid zone of West African countries. The study is based on primary data randomly collected as part of collaborative study of cassava in semiarid zones of Africa (COSCASSA) village level survey from five West African countries namely: Nigeria, Ghana, Chad, Niger and Burkina Faso. This study models effects of farm, farmer and technology specific factors on the decision of semi arid farmers to adopt cassava into their farming system. By way of threshold decision models—Probit and Logit models, the estimation of each country and the pooled data adoption models reveal different adoption models for the countries considered. For each country, different variables appeared as major adoption shifters. Comparatively, the adoption models for Nigeria and whole region appear to have the highest significance variables, being seven in number. This is followed by Chad (6), Ghana (4), and Burkina Faso and Niger with three each. For the variables considered, distance to nearby urban market appears a major adoption shifter in all the country, except for Niger. This is closely followed by contact with extension, variety, pest/disease resistance and livestock feeds, which appear significant in four of the countries. Membership of cooperative societies appears as the least adoption predictor, which is only significant in Chad republic. The study therefore recognizes the importance of varietial characteristics and farmers’ characteristics in acceptance of cassava as a major root tuber crop in the semi arid region of West Africa. Readers should send their comments on this paper to: BhaskarNath@aol.com within 3 months of publication of this issue.     

Monitoring of heavy metal concentrations in home outdoor air using moss bags

One monitoring station is insufficient to characterize the high spatial variation of traffic-related heavy metals within cities. We tested moss bags (Hylocomium splendens), deployed in a dense network, for the monitoring of metals in outdoor air and characterized metals’ long-term spatial distribution and its determinants in Girona, Spain. Mosses were exposed outside 23 homes for two months; NO₂ was monitored for comparison. Metals were not highly correlated with NO₂ and showed higher spatial variation than NO₂. Regression models explained 61-85% of Cu, Cr, Mo, Pb, Sb, Sn, and Zn and 72% of NO₂ variability. Metals were strongly associated with the number of bus lines in the nearest street. Heavy metals are an alternative traffic-marker to NO₂ given their toxicological relevance, stronger association with local traffic and higher spatial variability. Monitoring heavy metals with mosses is appealing, particularly for long-term exposure assessment, as mosses can remain on site many months without maintenance.     

Emotional reactions in women in late pregnancy (24 weeks or longer) following the ultrasound diagnosis of a severe or lethal fetal malformation

We studied the emotional reactions of 41 women in late pregnancy shortly after they had been informed of the diagnosis of ‘severe or lethal fetal malformations’ and 3 months after delivery. In addition, situational variables were explored as determinants of grieving. While grief did not diminish during the study period, psychological instability was less pronounced at 3 months after delivery. More grief reactions were evoked by self-reported easily versus self-reported not easily initiated pregnancy, gestational age between 24 and 34 weeks versus beyond 34 weeks, multiparity versus primiparity, and viewing versus not viewing the baby.     

Trihalomethane concentrations in tap water as determinant of bottled water use in the city of Barcelona

Bottled water consumption is increasing worldwide, despite its huge economic and environmental cost. We aim to describe personal and tap water quality determinants of bottled water use in the city of Barcelona. This cross-sectional study used data from the Health Survey of Barcelona in 2006(N = 5417 adults). The use of bottled water to drink and to cook was evaluated in relation to age, gender, educational level, district and levels of trihalomethanes(THMs), free chlorine, conductivity, chloride, sodium, p H, nitrate and aluminium in municipal tap water using Robust Poisson Regression. The prevalence of bottled water use to drink and cook was 53.9% and 6.7%, respectively. Chemical parameters in water had a large variability(interquartile range of THMs concentrations: 83.2–200.8 μg/L)and were correlated between them, except aluminium. Drinking bottled water increased with educational level, while cooking with bottled water was higher among men than among women and decreased with age. After adjusting by these personal determinants, a dose–response relationship was found between concentrations of all chemicals except aluminium in tap water and bottled water use. The highest association was found for THMs,with a Prevalence Ratio of 2.00(95%CI = 1.86, 2.15) for drinking bottled water and 2.80(95%CI = 1.72, 4.58) for cooking with bottled water, among those with 150 μg/L vs. 100 μg/L THMs in tap water. Conclusion: More than half of Barcelona residents regularly drank bottled water, and the main determinant was the chemical composition of tap water,particularly THM level.     

Measuring determinants of occupational health related behavior in Flemish farmers: an application of the Theory of Planned Behavior

PROBLEM: Preventive interventions to reduce occupational injuries and health problems in farmers require the identification of factors that contribute to unsafe and health damaging behavior. This paper describes the development and validation of a self-report questionnaire, which measures the determinants of occupational health-related behaviors in farmers. METHOD: A representative sample of 283 Flemish farmers completed a provisional 135 item questionnaire based on the Theory of Planned Behavior, measuring four behaviors related to occupational health (machinery use, animal handling, preventing falls, and pesticide use), as well as the intentions, attitudes, perceived social norms, and self-efficacy for each of these behaviors. RESULTS: The fit indices of the Confirmatory Factor Analysis turned out not to be sufficient to reproduce the dimensions of the TPB. Therefore exploratory factor analysis was use to determine the underlying dimensions. Principal Component Analyses (PCA) on the behavioral items yielded single component solutions explaining a considerable proportion of the variance for each behavior and for behavioral intentions. Principal component analyses toward an a priori three-component structure reflecting the TPB dimensions did not produce sufficient congruence for the determinants of the four behaviors. Subsequent Varimax rotations and discarding of redundant items resulted in three component solutions explaining 50% to 69% of the variance in the determinants of each behavior, corresponding with the dimensions of the TPB. Internal consistencies ranged from .25 to .89. Scale scores accounted for a significant proportion of the variance in intention and self-reported behavior. IMPACT: The study demonstrates the validity of the TPB in predicting behavior related to occupational safety and health in farmers, and provides a valid and reliable questionnaire to measure the cognitive concepts featured in this model. IMPACT ON INDUSTRY: Both authors share the same view on this study's impact on industry. In recent years, efforts have been made to create awareness among farmers about occupational hazards, and to encourage farmers to perform safer and healthier behavior. However, only a limited number of these interventions have proven to be successful. A possible reason for this relative lack of success is that interventions typically focus on risk analysis and raising awareness, whereas the literature on preventive health behavior change indicates that knowledge and awareness with regard to possible health risks are neither necessary nor sufficient to change behavior. To raise the effectiveness of prevention programs, other relevant determinants of behavior need to be addressed as well, such as: attitudes, perceived social norms, self efficacy, and elements of the physical environment that elicit or reinforce behavior. These determinants play a key role in psychological models of health related behavior, such as the Theory of Planned Behavior. Thus far, the use of these models within agricultural settings is fairly limited. This study demonstrates the validity of the Theory of Planned Behavior in predicting behavior related to occupational safety and health in farmers, and provides a valid and reliable questionnaire to measure the cognitive concepts featured in this model.