Background: Sub-Saharan Africa (SSA) countries are facing an epidemiological shift from infectious disease to chronic diseases, such as cardiovascular diseases (CVDs). CVDs incidence in SSA are frequently attributed to the prevalence of hypertension, diabetes, and overweight/obesity. Nevertheless, some researchers contend that CVDs are not a priority public health problem in SSA.
Method: This paper systematically reviews the evidence on CVDs and their relation with hypertension, diabetes mellitus and obesity/overweight in Ghana, Nigeria, South Africa, Sudan and Tanzania. The publication’s content was analyzed qualitatively using the directed content analysis method and the results were presented in a tabular format.
Result: The paper illustrates the rising prevalence of CVDs as well as the three related risk conditions in the selected SSA countries.
Conclusion: The review indicates a poor health system response to the increasing risk of CVDs in SSA. The conditions and major drivers that contribute to this underlying increasing trend need to be further studied. 相似文献
Path analysis is used to examine the causal relationships among selected objective and subjective factors associated with a household's expectation of future financial condition. Results indicate that respondents who perceive the effect of changes in the external environment on their own household's financial condition as positive are younger, have higher net worth, perceive more internal control over their situation, and report that most of the changes in the external environment are positive. Respondents who are younger, have higher income, perceive more internal control over their situation, and believe the effect of changes in the external environment on their household's financial condition are positive are more likely to be optimistic about their financial future. It is important that educators and financial advisors recognize the significant role perception of being in control plays in determining expectations of future financial condition.Journal Paper No. J-15256 of the Iowa Agriculture and Home Economics Experiment Station, Project No. 2809. Data were collected in conjunction with the cooperative regional research project NC-182, Family Resource Utilization as a Factor in Determining Economic Well-Being of Rural Families. Cooperating states are Arizona, California, Illinois, Indiana, Iowa, Kansas, Michigan, and Minnesota.Her current research interests include family financial management and consumer bankruptcy; she received her Ph.D. from the University of Missouri.She received her Ph.D. from the University of Illinois; her current research interests include gender roles, family financial management, and economic well-being.She received her Ph.D. from the University of Illinois. Her research interests are economic well-being and quality of life.Her current research interests include the economic well-being of various family forms. She received her Ph.D. from the University of Illinois. 相似文献
We consider statistical inference of unknown parameters in estimating equations (EEs) when some covariates have nonignorably missing values, which is quite common in practice but has rarely been discussed in the literature. When an instrument, a fully observed covariate vector that helps identifying parameters under nonignorable missingness, is available, the conditional distribution of the missing covariates given other covariates can be estimated by the pseudolikelihood method of Zhao and Shao [(2015), ‘Semiparametric pseudo likelihoods in generalised linear models with nonignorable missing data’, Journal of the American Statistical Association, 110, 1577–1590)] and be used to construct unbiased EEs. These modified EEs then constitute a basis for valid inference by empirical likelihood. Our method is applicable to a wide range of EEs used in practice. It is semiparametric since no parametric model for the propensity of missing covariate data is assumed. Asymptotic properties of the proposed estimator and the empirical likelihood ratio test statistic are derived. Some simulation results and a real data analysis are presented for illustration. 相似文献
Turfgrass lawns are a central part of urban and suburban landscapes throughout North America and are often managed using repeated applications of chemical fertilizers and pesticides. These inputs are expensive and may negatively affect ecological processes in lawns. Therefore, we evaluated the influence of three most common lawn care programs on ecological characteristics of turfgrass lawns. Twenty-eight home lawns, separated into 3 groups based on the lawn care program (professional, do-it-yourself [DIY], and no-input), were studied. Data on lawn quality, weed and insect infestation, disease incidence, soil nematode community, soil nitrogen pools, microbial biomass (MBN), and soil organic matter (SOM) were collected. Results indicated that professional lawn care resulted in the highest aesthetic lawn quality mainly due to better weed control, compared to DIY and no-input programs. However, professional and DIY programs negatively affected MBN and SOM pools and enhanced disease (rust) severity. No significant differences in soil nematode population and nematode community indices across the three programs were found, indicating no differences in net ecosystem productivity among the three programs. Overall, soil nematode food web in turfgrass lawns represented a disturbed food web compared to natural grasslands and forest ecosystems, irrespective of the lawn care program used. 相似文献