OBJECTIVE: To assess whether dietary fat intake influences Parkinson’s disease risk. DATA SOURCES: We systematically surveyed the Embase and PubMed databases, reviewing manuscripts published prior to October 2018. Th...OBJECTIVE: To assess whether dietary fat intake influences Parkinson’s disease risk. DATA SOURCES: We systematically surveyed the Embase and PubMed databases, reviewing manuscripts published prior to October 2018. The following terms were used:(“Paralysis agitans” OR “Parkinson disease” OR “Parkinson” OR “Parkinson’s” OR “Parkinson’s disease”) AND (“fat” OR “dietary fat” OR “dietary fat intake”). DATA SELECTION: Included studies were those with both dietary fat intake and Parkinson’s disease risk as exposure factors. The Newcastle-Ottawa Scale was adapted to investigate the quality of included studies. Stata V12.0 software was used for statistical analysis. OUTCOME MEASURES: The primary outcomes included the relationship between high total energy intake, high total fat intake, and Parkinson’s disease risk. The secondary outcomes included the relationship between different kinds of fatty acids and Parkinson’s disease risk. RESULTS: Nine articles met the inclusion criteria and were incorporated into this meta-analysis. Four studies scored 7 and the other five studies scored 9 on the Newcastle-Ottawa Scale, meaning that all studies were of high quality. Meta-analysis results showed that high total energy intake was associated with an increased risk of Parkinson’s disease (P = 0.000, odds ratio (OR)= 1.49, 95% confidence interval (CI): 1.26–1.75);in contrast, high total fat intake was not associated with Parkinson’s disease risk (P = 0.123, OR = 1.07, 95% CI: 0.91–1.25). Subgroup analysis revealed that polyunsaturated fatty acid intake (P = 0.010, OR = 1.03, 95% CI: 0.88–1.20) reduced the risk of Parkinson’s disease, while arachidonic acid (P = 0.026, OR = 1.15, 95% CI: 0.97–1.37) and cholesterol (P = 0.002, OR = 1.09, 95% CI: 0.92–1.29) both increased the risk of Parkinson’s disease. Subgroup analysis also demonstrated that, although the results were not significant, consumption of n-3 polyunsaturated fatty acids (P = 0.071, OR = 0.88, 95% CI: 0.73–1.05),α-linolenic acid (P = 0.06, OR = 0.86, 95% CI: 0.72–1.02), and the n-3 to n-6 ratio (P = 0.458, OR = 0.89, 95% CI: 0.75–1.06) were all linked with a trend toward reduced Parkinson’s disease risk. Monounsaturated fatty acid (P = 0.450, OR = 1.06, 95% CI: 0.91–1.23), n-6 polyunsaturated fatty acids (P = 0.100, OR = 1.15, 95% CI: 0.96–1.36) and linoleic acid (P = 0.053, OR = 1.11, 95% CI: 0.94–1.32) intakes were associated with a non-significant trend toward higher PD risk. Saturated fatty acid (P = 0.619, OR = 1.01, 95% CI: 0.87–1.18) intake was not associated with Parkinson’s disease. CONCLUSION: Dietary fat intake affects Parkinson’s disease risk, although this depends on the fatty acid subtype. Higher intake of polyunsaturated fatty acids may reduce the risk of Parkinson’s disease, while higher cholesterol and arachidonic acid intakes may elevate Parkinson’s disease risk. However, further studies and evidence are needed to validate any link between dietary fat intake and Parkinson’s disease.展开更多
Background: Quantification of obesity/adiposity is feasible with different anthropometric characteristics along with the bioelectrical impedance analysis techniques. Recent advancements are now witnessing development ...Background: Quantification of obesity/adiposity is feasible with different anthropometric characteristics along with the bioelectrical impedance analysis techniques. Recent advancements are now witnessing development of further computations derived from previously established measures to gauge obesity. Objective: Main aim of our study was to evaluate the association of anthropometric determinants of obesity with body compositional adiposity variables, and thus identifying the best marker among them emerging out as the probable predictor for compositional adiposity. Participants and Setting: 550 female participants within the age of 18 to 23 years were enrolled under this study attending graduation course at University of Delhi. Ethical clearance was received from the institutional head. Informed written consent was taken from every participant. Design: All the body measurements were recorded by trained staff using standard techniques. Derived measurements were calculated further. Analysis: Data, hence, gathered was undertaken for descriptive and infer-ential statistical analysis with SPSS 20.0. Variables Measured and Results: WHR over-estimated the count for those at risk compared to waist circumference and WHtR. Skeletal muscle fat associated negatively with all anthropometric adiposity indicators. BMI, BAI, WHtR and waist circumference related closely with all body composition cum obesity markers compared to WHR, CI and ABSI. BAI overrated the risk for fat determining body composition parameters the most followed by BMI. ABSI revealed an underestimated risk for augmenting fat content in body, compared to other markers. Conclusion and Implications: It is difficult to establish with compliance as to which of the measures used in the study could better predict the perils of obesity but it could be ascertained that some of the newly verified anthropometric adiposity indicators could be administered for determining clinical situations after further validation.展开更多
Background: Epicardial adipose tissue (EAT) may produce several cytokines contributed to coronary atherosclerosis. EAT was measured by transthoracic echocardiography or 3 dimensional cardiac computed tomography (CT) o...Background: Epicardial adipose tissue (EAT) may produce several cytokines contributed to coronary atherosclerosis. EAT was measured by transthoracic echocardiography or 3 dimensional cardiac computed tomography (CT) on previous studies. We aimed to evaluate the correlation between EAT thickness and cardiovascular risk factors in healthy adults. Method: We collected clinical, biochemical information from 469 subjects (371 men and 98 women) who visited our health promotion center. EAT thickness was measured by chest CT on the free wall of the right ventricle. Result: The mean EAT thickness was 2.47 ± 1.64 mm in total of 469 subjects. EAT thickness was significantly correlated to age, weight, body mass index (BMI), total body fat, systolic and diastolic blood pressure, total cholesterol, low density lipoprotein (LDL)-cholesterol, and fasting glucose in men and to age, height, weight, BMI, total body fat, systolic and diastolic blood pressure, triglycerides, C-reactive protein (CRP), and fasting glucose in women. Multivariate analysis showed that age, BMI, systolic blood pressure, fasting glucose were the variables that independently correlated to EAT thickness in men. But there was no significant independent variable in women. Conclusion: In our study, EAT thickness measured with chest CT in healthy individuals correlates with cardiovascular risk factors in men.展开更多
Body Mass Index (BMI) and Percentage Body Fat (%BF) values have been determined in cancer patients. In the study, 83 adult cancer patients were assessed of which 15 (18.1%) were males and 68 (81.9%) females. Body weig...Body Mass Index (BMI) and Percentage Body Fat (%BF) values have been determined in cancer patients. In the study, 83 adult cancer patients were assessed of which 15 (18.1%) were males and 68 (81.9%) females. Body weight and height of individual patients were used in calculating their respective BMI values. The respective %BF values were determined taking into consideration of the age, gender and BMI. Maximum values of BMI (34.71 kg/m2) and %BF (46.37%) were obtained, for which they were females and the minimum values of BMI (12.08 kg/m2) and %BF (12.35%) respectively. The patient with the minimum %BF value was male and that of BMI was female. It was observed from the results that females have higher values of both BMI and %BF than their male counterparts. The study reveals higher rate of female cancer incidence than males.展开更多
目的探讨骨质疏松性骨折人群的骨密度与跌倒风险、体质量指数(body mass index,BMI)、肌力、体脂含量的相关性。方法通过对4 632例社区45岁以上绝经后女性的问卷调研及骨密度筛查,筛查出既往有脆性骨折史的骨质疏松性骨折人群。测定骨...目的探讨骨质疏松性骨折人群的骨密度与跌倒风险、体质量指数(body mass index,BMI)、肌力、体脂含量的相关性。方法通过对4 632例社区45岁以上绝经后女性的问卷调研及骨密度筛查,筛查出既往有脆性骨折史的骨质疏松性骨折人群。测定骨质疏松性骨折人群的骨密度、身高、体质量、跌倒风险、肌力和腹部脂肪含量。采用Spearman检验分析跌倒指数、体脂含量、年龄、身高、体质量、BMI与骨密度(bone mass density,BMD)之间的相关性。BMD校正年龄、身高、体质量、BMI、体脂含量,采用ANCOVA分析跌倒指数对BMD的影响;校正年龄、身高、体质量、BMI、跌倒指数,分析体脂含量对BMD的影响。结果对筛查出的839例骨质疏松性骨折患者的BMD、BMI、跌倒风险、腹部体脂含量、肌力等相关性分析结果显示,骨质疏松性骨折人群BMI、跌倒指数、肌力与BMD均显著相关(BMI r=0.161,跌倒指数r=0.238,肌力r=0.198,P均<0.001)。BMI、肌力、跌倒风险与BMD呈正相关;校正年龄、身高、体质量、BMI等因素,采用ANCOVA分析跌倒指数与BMD无显著相关(F=1.011,P>0.05)。结论跌倒风险和低BMD为骨折的主要危险因素。本研究显示体脂含量与BMD呈显著相关性。展开更多
基金supported by the National Natural Science Foundation of China,No.31200868(to XC)
文摘OBJECTIVE: To assess whether dietary fat intake influences Parkinson’s disease risk. DATA SOURCES: We systematically surveyed the Embase and PubMed databases, reviewing manuscripts published prior to October 2018. The following terms were used:(“Paralysis agitans” OR “Parkinson disease” OR “Parkinson” OR “Parkinson’s” OR “Parkinson’s disease”) AND (“fat” OR “dietary fat” OR “dietary fat intake”). DATA SELECTION: Included studies were those with both dietary fat intake and Parkinson’s disease risk as exposure factors. The Newcastle-Ottawa Scale was adapted to investigate the quality of included studies. Stata V12.0 software was used for statistical analysis. OUTCOME MEASURES: The primary outcomes included the relationship between high total energy intake, high total fat intake, and Parkinson’s disease risk. The secondary outcomes included the relationship between different kinds of fatty acids and Parkinson’s disease risk. RESULTS: Nine articles met the inclusion criteria and were incorporated into this meta-analysis. Four studies scored 7 and the other five studies scored 9 on the Newcastle-Ottawa Scale, meaning that all studies were of high quality. Meta-analysis results showed that high total energy intake was associated with an increased risk of Parkinson’s disease (P = 0.000, odds ratio (OR)= 1.49, 95% confidence interval (CI): 1.26–1.75);in contrast, high total fat intake was not associated with Parkinson’s disease risk (P = 0.123, OR = 1.07, 95% CI: 0.91–1.25). Subgroup analysis revealed that polyunsaturated fatty acid intake (P = 0.010, OR = 1.03, 95% CI: 0.88–1.20) reduced the risk of Parkinson’s disease, while arachidonic acid (P = 0.026, OR = 1.15, 95% CI: 0.97–1.37) and cholesterol (P = 0.002, OR = 1.09, 95% CI: 0.92–1.29) both increased the risk of Parkinson’s disease. Subgroup analysis also demonstrated that, although the results were not significant, consumption of n-3 polyunsaturated fatty acids (P = 0.071, OR = 0.88, 95% CI: 0.73–1.05),α-linolenic acid (P = 0.06, OR = 0.86, 95% CI: 0.72–1.02), and the n-3 to n-6 ratio (P = 0.458, OR = 0.89, 95% CI: 0.75–1.06) were all linked with a trend toward reduced Parkinson’s disease risk. Monounsaturated fatty acid (P = 0.450, OR = 1.06, 95% CI: 0.91–1.23), n-6 polyunsaturated fatty acids (P = 0.100, OR = 1.15, 95% CI: 0.96–1.36) and linoleic acid (P = 0.053, OR = 1.11, 95% CI: 0.94–1.32) intakes were associated with a non-significant trend toward higher PD risk. Saturated fatty acid (P = 0.619, OR = 1.01, 95% CI: 0.87–1.18) intake was not associated with Parkinson’s disease. CONCLUSION: Dietary fat intake affects Parkinson’s disease risk, although this depends on the fatty acid subtype. Higher intake of polyunsaturated fatty acids may reduce the risk of Parkinson’s disease, while higher cholesterol and arachidonic acid intakes may elevate Parkinson’s disease risk. However, further studies and evidence are needed to validate any link between dietary fat intake and Parkinson’s disease.
文摘Background: Quantification of obesity/adiposity is feasible with different anthropometric characteristics along with the bioelectrical impedance analysis techniques. Recent advancements are now witnessing development of further computations derived from previously established measures to gauge obesity. Objective: Main aim of our study was to evaluate the association of anthropometric determinants of obesity with body compositional adiposity variables, and thus identifying the best marker among them emerging out as the probable predictor for compositional adiposity. Participants and Setting: 550 female participants within the age of 18 to 23 years were enrolled under this study attending graduation course at University of Delhi. Ethical clearance was received from the institutional head. Informed written consent was taken from every participant. Design: All the body measurements were recorded by trained staff using standard techniques. Derived measurements were calculated further. Analysis: Data, hence, gathered was undertaken for descriptive and infer-ential statistical analysis with SPSS 20.0. Variables Measured and Results: WHR over-estimated the count for those at risk compared to waist circumference and WHtR. Skeletal muscle fat associated negatively with all anthropometric adiposity indicators. BMI, BAI, WHtR and waist circumference related closely with all body composition cum obesity markers compared to WHR, CI and ABSI. BAI overrated the risk for fat determining body composition parameters the most followed by BMI. ABSI revealed an underestimated risk for augmenting fat content in body, compared to other markers. Conclusion and Implications: It is difficult to establish with compliance as to which of the measures used in the study could better predict the perils of obesity but it could be ascertained that some of the newly verified anthropometric adiposity indicators could be administered for determining clinical situations after further validation.
文摘Background: Epicardial adipose tissue (EAT) may produce several cytokines contributed to coronary atherosclerosis. EAT was measured by transthoracic echocardiography or 3 dimensional cardiac computed tomography (CT) on previous studies. We aimed to evaluate the correlation between EAT thickness and cardiovascular risk factors in healthy adults. Method: We collected clinical, biochemical information from 469 subjects (371 men and 98 women) who visited our health promotion center. EAT thickness was measured by chest CT on the free wall of the right ventricle. Result: The mean EAT thickness was 2.47 ± 1.64 mm in total of 469 subjects. EAT thickness was significantly correlated to age, weight, body mass index (BMI), total body fat, systolic and diastolic blood pressure, total cholesterol, low density lipoprotein (LDL)-cholesterol, and fasting glucose in men and to age, height, weight, BMI, total body fat, systolic and diastolic blood pressure, triglycerides, C-reactive protein (CRP), and fasting glucose in women. Multivariate analysis showed that age, BMI, systolic blood pressure, fasting glucose were the variables that independently correlated to EAT thickness in men. But there was no significant independent variable in women. Conclusion: In our study, EAT thickness measured with chest CT in healthy individuals correlates with cardiovascular risk factors in men.
文摘Body Mass Index (BMI) and Percentage Body Fat (%BF) values have been determined in cancer patients. In the study, 83 adult cancer patients were assessed of which 15 (18.1%) were males and 68 (81.9%) females. Body weight and height of individual patients were used in calculating their respective BMI values. The respective %BF values were determined taking into consideration of the age, gender and BMI. Maximum values of BMI (34.71 kg/m2) and %BF (46.37%) were obtained, for which they were females and the minimum values of BMI (12.08 kg/m2) and %BF (12.35%) respectively. The patient with the minimum %BF value was male and that of BMI was female. It was observed from the results that females have higher values of both BMI and %BF than their male counterparts. The study reveals higher rate of female cancer incidence than males.
文摘目的探讨骨质疏松性骨折人群的骨密度与跌倒风险、体质量指数(body mass index,BMI)、肌力、体脂含量的相关性。方法通过对4 632例社区45岁以上绝经后女性的问卷调研及骨密度筛查,筛查出既往有脆性骨折史的骨质疏松性骨折人群。测定骨质疏松性骨折人群的骨密度、身高、体质量、跌倒风险、肌力和腹部脂肪含量。采用Spearman检验分析跌倒指数、体脂含量、年龄、身高、体质量、BMI与骨密度(bone mass density,BMD)之间的相关性。BMD校正年龄、身高、体质量、BMI、体脂含量,采用ANCOVA分析跌倒指数对BMD的影响;校正年龄、身高、体质量、BMI、跌倒指数,分析体脂含量对BMD的影响。结果对筛查出的839例骨质疏松性骨折患者的BMD、BMI、跌倒风险、腹部体脂含量、肌力等相关性分析结果显示,骨质疏松性骨折人群BMI、跌倒指数、肌力与BMD均显著相关(BMI r=0.161,跌倒指数r=0.238,肌力r=0.198,P均<0.001)。BMI、肌力、跌倒风险与BMD呈正相关;校正年龄、身高、体质量、BMI等因素,采用ANCOVA分析跌倒指数与BMD无显著相关(F=1.011,P>0.05)。结论跌倒风险和低BMD为骨折的主要危险因素。本研究显示体脂含量与BMD呈显著相关性。
