This study examined the effects of land grabbing on the livelihood of smallholder farming househo... more This study examined the effects of land grabbing on the livelihood of smallholder farming households in Ghana using the Livelihood Effect Index. A structured questionnaire was administered to 560 randomly selected farming households across six regions of Ghana. Analysis of variance was conducted to determine the significance difference in the effects among farming households in the regions and among the livelihood indicators. The empirical results revealed that land grabbing has a significant negative effect on the livelihood of smallholder farming households. Results of the LEI indicate that financial capacity and natural resource of smallholder farming households are the most affected livelihood indicators for the smallholder farming households due to land grabbing activities. Also, the Brong Ahafo region had the highest LEI (0.61), indicating that it is the most affected region by land grabbing. Intervention programmes in the affected regions should be tailored towards strengthen...
Pre-diabetes increases the risk of diabetes and CVD. Several studies have investigated the relati... more Pre-diabetes increases the risk of diabetes and CVD. Several studies have investigated the relationship between food intake and pre-diabetes morbidity, but the dietary patterns of pre-diabetes subjects were not taken into consideration. The aim of this study was to determine the relationship between dietary patterns and pre-diabetes. In this regard, 150 pre-diabetic subjects and 150 healthy controls, who attended the diabetes screening centre in Shahreza, Iran, were matched for age group and sex. The weight, height, waist circumference, physical activity, systolic and diastolic blood pressures, and blood glucose levels of all participants were measured. Dietary information was collected using a semi-quantitative FFQ. Using factor analysis, two dietary patterns were identified: the vegetables, fruits and legumes (VFL) dietary pattern and the sweet, solid fat, meat and mayonnaise (SSMM) dietary pattern. Multivariate logistic regression was used to assess the relationship between pre-d...
This study examined the effects of land grabbing on the livelihood of smallholder farming househo... more This study examined the effects of land grabbing on the livelihood of smallholder farming households in Ghana using the Livelihood Effect Index. A structured questionnaire was administered to 560 randomly selected farming households across six regions of Ghana. Analysis of variance was conducted to determine the significance difference in the effects among farming households in the regions and among the livelihood indicators. The empirical results revealed that land grabbing has a significant negative effect on the livelihood of smallholder farming households. Results of the LEI indicate that financial capacity and natural resource of smallholder farming households are the most affected livelihood indicators for the smallholder farming households due to land grabbing activities. Also, the Brong Ahafo region had the highest LEI (0.61), indicating that it is the most affected region by land grabbing. Intervention programmes in the affected regions should be tailored towards strengthen...
Pre-diabetes increases the risk of diabetes and CVD. Several studies have investigated the relati... more Pre-diabetes increases the risk of diabetes and CVD. Several studies have investigated the relationship between food intake and pre-diabetes morbidity, but the dietary patterns of pre-diabetes subjects were not taken into consideration. The aim of this study was to determine the relationship between dietary patterns and pre-diabetes. In this regard, 150 pre-diabetic subjects and 150 healthy controls, who attended the diabetes screening centre in Shahreza, Iran, were matched for age group and sex. The weight, height, waist circumference, physical activity, systolic and diastolic blood pressures, and blood glucose levels of all participants were measured. Dietary information was collected using a semi-quantitative FFQ. Using factor analysis, two dietary patterns were identified: the vegetables, fruits and legumes (VFL) dietary pattern and the sweet, solid fat, meat and mayonnaise (SSMM) dietary pattern. Multivariate logistic regression was used to assess the relationship between pre-d...
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