58 research outputs found
Does cash crop adoption detract from childcare provision?
Using data from fieldwork conducted in Nepal, the impact of a project designed to commercialize vegetables and fruits — the Vegetable and Fruit Cash Crop Program (VFC)— on male and female time allocation is examined. Using a rigorous time collection methodology, activity patterns in households that adopt and do not adopt the new technology are profiled. Very few studies examine changing activity patterns of both men and women in response to commercialization of agriculture. Though women's time is valuable in agriculture, it is also valuable in the production of child nutrition. The recent evolution in thinking as to the causes of child malnutrition—the three pillars being food intake, health, and time to care—warrants further analyses of the time trade-offs that women and men face when adopting new agricultural technologies. The VFC program was successful at targeting both men and women farmers in the sense that household participation resulted in increased head male and head female time spent growing vegetables and fruits. The responses varied, however, by the number of preschool children in residence. In households with more than one preschooler, the time trade-offs associated with VFC participation were not sizeable for the care of children under 5 years. In households with just one preschooler, the trade-offs were more important. In these households, preschoolers received less care from the male and female heads, who spent more time in both the cash crop and in the food crop. In these same households, the nonwork (leisure) time of men increased as a result of VFC participation, but for women, leisure time was unaffected. Thus in the short run, there is perhaps scope for protecting childcare time by reducing time to leisure. In the medium run, benefits may well accrue to unborn preschoolers if VFC participation empowers women.Child care. ,Malnutrition Nepal. ,Children Nutrition. ,Cash crops Nepal. ,
Does cash crop adoption detract from childcare provision?
Using data from fieldwork conducted in Nepal, the impact of a project designed to commercialize vegetables and fruits — the Vegetable and Fruit Cash Crop Program (VFC)— on male and female time allocation is examined. Using a rigorous time collection methodology, activity patterns in households that adopt and do not adopt the new technology are profiled. Very few studies examine changing activity patterns of both men and women in response to commercialization of agriculture. Though women's time is valuable in agriculture, it is also valuable in the production of child nutrition. The recent evolution in thinking as to the causes of child malnutrition—the three pillars being food intake, health, and time to care—warrants further analyses of the time trade-offs that women and men face when adopting new agricultural technologies. The VFC program was successful at targeting both men and women farmers in the sense that household participation resulted in increased head male and head female time spent growing vegetables and fruits. The responses varied, however, by the number of preschool children in residence. In households with more than one preschooler, the time trade-offs associated with VFC participation were not sizeable for the care of children under 5 years. In households with just one preschooler, the trade-offs were more important. In these households, preschoolers received less care from the male and female heads, who spent more time in both the cash crop and in the food crop. In these same households, the nonwork (leisure) time of men increased as a result of VFC participation, but for women, leisure time was unaffected. Thus in the short run, there is perhaps scope for protecting childcare time by reducing time to leisure. In the medium run, benefits may well accrue to unborn preschoolers if VFC participation empowers women.Child care. ,Malnutrition Nepal. ,Children Nutrition. ,Cash crops Nepal. ,
Transdisciplinarity and Shifting Network Boundaries:The Challenges of Studying an Evolving Stakeholder Network in Participatory Settings
Participatory research engages a transdisciplinary team of stakeholders in all aspects of the research process. Such engagement can lead to shifts in the research design, as well as who is considered a participant. We detail our experiences of studying an evolving stakeholder network in the context of a 2.5-year transdisciplinary, participatory project. We show how participation leads to shifts in the network boundary overtime and how a transdisciplinary effort was needed to retrospectively redefine the network boundary. Through tacking back and forth between ethnographic insights, research aims, and modeling assumptions, the team eventually reached agreement on what determined network membership and how to code network members according to their timing and level of participation. Our account advances literature on boundary and modeling approaches to shifting, evolving networks by demonstrating how participatory transdisciplinarity can be both a driver of, and solution to, capturing the complexity of evolving networks
Effects of the diabetes linked TCF7L2 polymorphism in a representative older population
BACKGROUND: A polymorphism in the transcription factor 7-like 2 (TCF7L2) gene has been found to be associated with type 2 diabetes in case-control studies. We aimed to estimate associations of the marker rs7903146 (C/T) polymorphism with fasting glucose, lipids, diabetes prevalence and complications in an older general population. METHODS: In total, 944 subjects aged ≥ 65 years from the population representative InCHIANTI study were enrolled in this study. Those with fasting blood glucose of ≥ 7 mmol/l or physician diagnosis were considered diabetic. Cut-off points for impaired fasting glucose (IFG) were ≥ 5.6 mmol/l to < 7 mmol/l. RESULTS: In the general population sample, minor (T) allele carriers of rs7903146 had higher fasting blood glucose (FBG) (p = 0.028) but lower fasting insulin (p = 0.030) and HOMA2b scores (p = 0.001), suggesting poorer beta-cell function. T allele carriers also had smaller waist circumference (p = 0.009), lower triglyceride levels (p = 0.006), and higher high-density lipoprotein cholesterol (p = 0.008). The prevalence of diabetes or IFG was 32.4% in TT carriers and 23.3% in CC carriers; adjusted OR = 1.67 (95% confidence interval 1.05 to 2.65, p = 0.031). Within the diabetic and IFG groups, fewer T allele carriers had metabolic syndrome features (p = 0.047) or had experienced a myocardial infarction (p = 0.037). Conversely, T allele carriers with diabetes had poorer renal function (reduced 24-hour creatinine clearance, p = 0.013), and possibly more retinopathy (p = 0.067). Physician-diagnosed dementia was more common in the T carriers (in diabetes p = 0.05, with IFG p = 0.024). CONCLUSION: The TCF7L2 rs7903146 polymorphism is associated with lower insulin levels, smaller waist circumference, and lower risk lipid profiles in the general elderly population. Patients with diabetes who are carriers of the minor allele are less likely to have metabolic-syndrome features, but may experience more microvascular complications, although the number of cases was small. If replicated, these findings may have implications for developing treatment approaches tailored by genotype
A genome-wide association study identifies protein quantitative trait loci (pQTLs)
There is considerable evidence that human genetic variation influences gene expression. Genome-wide studies have revealed that mRNA levels are associated with genetic variation in or close to the gene coding for those mRNA transcripts - cis effects, and elsewhere in the genome - trans effects. The role of genetic variation in determining protein levels has not been systematically assessed. Using a genome-wide association approach we show that common genetic variation influences levels of clinically relevant proteins in human serum and plasma. We evaluated the role of 496,032 polymorphisms on levels of 42 proteins measured in 1200 fasting individuals from the population based InCHIANTI study. Proteins included insulin, several interleukins, adipokines, chemokines, and liver function markers that are implicated in many common diseases including metabolic, inflammatory, and infectious conditions. We identified eight Cis effects, including variants in or near the IL6R (p = 1.8×10 -57), CCL4L1 (p = 3.9×10-21), IL18 (p = 6.8×10-13), LPA (p = 4.4×10-10), GGT1 (p = 1.5×10-7), SHBG (p = 3.1×10-7), CRP (p = 6.4×10-6) and IL1RN (p = 7.3×10-6) genes, all associated with their respective protein products with effect sizes ranging from 0.19 to 0.69 standard deviations per allele. Mechanisms implicated include altered rates of cleavage of bound to unbound soluble receptor (IL6R), altered secretion rates of different sized proteins (LPA), variation in gene copy number (CCL4L1) and altered transcription (GGT1). We identified one novel trans effect that was an association between ABO blood group and tumour necrosis factor alpha (TNF-alpha) levels (p = 6.8×10-40), but this finding was not present when TNF-alpha was measured using a different assay , or in a second study, suggesting an assay-specific association. Our results show that protein levels share some of the features of the genetics of gene expression. These include the presence of strong genetic effects in cis locations. The identification of protein quantitative trait loci (pQTLs) may be a powerful complementary method of improving our understanding of disease pathways. © 2008 Melzer et al
New genetic loci implicated in fasting glucose homeostasis and their impact on type 2 diabetes risk.
Levels of circulating glucose are tightly regulated. To identify new loci influencing glycemic traits, we performed meta-analyses of 21 genome-wide association studies informative for fasting glucose, fasting insulin and indices of beta-cell function (HOMA-B) and insulin resistance (HOMA-IR) in up to 46,186 nondiabetic participants. Follow-up of 25 loci in up to 76,558 additional subjects identified 16 loci associated with fasting glucose and HOMA-B and two loci associated with fasting insulin and HOMA-IR. These include nine loci newly associated with fasting glucose (in or near ADCY5, MADD, ADRA2A, CRY2, FADS1, GLIS3, SLC2A2, PROX1 and C2CD4B) and one influencing fasting insulin and HOMA-IR (near IGF1). We also demonstrated association of ADCY5, PROX1, GCK, GCKR and DGKB-TMEM195 with type 2 diabetes. Within these loci, likely biological candidate genes influence signal transduction, cell proliferation, development, glucose-sensing and circadian regulation. Our results demonstrate that genetic studies of glycemic traits can identify type 2 diabetes risk loci, as well as loci containing gene variants that are associated with a modest elevation in glucose levels but are not associated with overt diabetes
Biomedical imaging research opportunities workshop IV: A white paper
Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/134967/1/mp5838.pd
Genetic evidence that raised sex hormone binding globulin (SHBG) levels reduce the risk of type 2 diabetes
Epidemiological studies consistently show that circulating sex hormone binding globulin (SHBG) levels are lower in type 2 diabetes patients than non-diabetic individuals, but the causal nature of this association is controversial. Genetic studies can help dissect causal directions of epidemiological associations because genotypes are much less likely to be confounded, biased or influenced by disease processes. Using this Mendelian randomization principle, we selected a common single nucleotide polymorphism (SNP) near the SHBG gene, rs1799941, that is strongly associated with SHBG levels. We used data from this SNP, or closely correlated SNPs, in 27 657 type 2 diabetes patients and 58 481 controls from 15 studies. We then used data from additional studies to estimate the difference in SHBG levels between type 2 diabetes patients and controls. The SHBG SNP rs1799941 was associated with type 2 diabetes [odds ratio (OR) 0.94, 95% CI: 0.91, 0.97; P = 2 × 10−5], with the SHBG raising allele associated with reduced risk of type 2 diabetes. This effect was very similar to that expected (OR 0.92, 95% CI: 0.88, 0.96), given the SHBG-SNP versus SHBG levels association (SHBG levels are 0.2 standard deviations higher per copy of the A allele) and the SHBG levels versus type 2 diabetes association (SHBG levels are 0.23 standard deviations lower in type 2 diabetic patients compared to controls). Results were very similar in men and women. There was no evidence that this variant is associated with diabetes-related intermediate traits, including several measures of insulin secretion and resistance. Our results, together with those from another recent genetic study, strengthen evidence that SHBG and sex hormones are involved in the aetiology of type 2 diabetes
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