Cerebral small vessel disease(CSVD),a chronic and progressive vascular disorder closely associated with stroke and dementia,is primarily identified and diagnosed in cranial magnetic resonance imaging(MRI).Given the li...Cerebral small vessel disease(CSVD),a chronic and progressive vascular disorder closely associated with stroke and dementia,is primarily identified and diagnosed in cranial magnetic resonance imaging(MRI).Given the limited evidence on the relationship between air pollution and CSVD,this study aimed to investigate the links between multiple air pollutants exposure and CSVD risk.Eligible subjects and their cranial MRI data were obtained from the Multi-modality Medical Imaging Study Based on Kailuan Study,totaling 1216 participants.Ordinal and binary logistic regression models were utilized to evaluate the associations between air pollution exposure and the neuroimaging markers of CSVD.For each interquartile range increase in air pollutant exposure during the examination year,the odds ratios and 95% confidence intervals of the increased white matter hyperintensity burden were 1.45(1.15,1.84)for PM_(2.5),1.72(1.27,2.34)for PM_(10),1.26(1.05,1.51)for SO_(2),1.52(1.16,2.00)for NO_(2),and 1.63(1.26,2.13)for CO.The results remained consistent even when the model was fitted using air pollution from different exposure windows.Furthermore,the estimated effect sizes for the total burden of CSVD were 1.20(1.01,1.43)for PM_(2.5),1.39(1.12,1.74)for PM_(10),1.26(1.03,1.53)for NO_(2),and 1.30(1.08,1.58)for CO.These findings suggest that a positive link between air pollutants exposure and neuroimaging markers of CSVD in the Chinese population,revealing the importance of controlling environmental pollutants to protect the population against cerebral small vessel damage.展开更多
Prospective evidence on the associations between residential greenness and risks of major diabetic complications remains limited.We explored the associations of residential greenness with incident diabetic macrovascul...Prospective evidence on the associations between residential greenness and risks of major diabetic complications remains limited.We explored the associations of residential greenness with incident diabetic macrovascular and microvascular complications among individuals with type 2 diabetes(T2D),and further assessed the roles of lifestyle factors in these associations.Our study included 13,848 patients with T2D.The Normalised Difference Vegetation Index(NDVI)within a 300-m buffer was used as the indicator of residential greenness.Eight lifestyle factors were included to construct a weighted healthy lifestyle score.Cox proportional hazard models were performed to assess the links between residential greenness and diabetic complication risks.We found that each interquartile range increase of NDVI within 300-m buffer was significantly associated with decreased diabetic complication risks,with hazard ratios(95%confidence intervals)of 0.921(0.881,0.964)for composite macrovascular complications,0.886(0.805,0.975)for stroke,0.901(0.825,0.985)for heart failure,0.914(0.866,0.965)for coronary artery disease,0.909(0.865,0.956)for composite microvascular complications,0.842(0.757,0.937)for diabetic neuropathy,and 0.899(0.841,0.961)for diabetic nephropathy.Air pollutants and physical activity partly mediated these associations.Lifestyle factors modified some residential greennesscomplications associations,and no significant associations between residential greenness and diabetic complications were observed among participants with poor lifestyles.Higher residential greenness levels were linked with lower risks of diabetic complications,and lifestyle factors might modify these associations.展开更多
基金supported by the National Natural Science Foundation of China(grant 82304231)Natural Science Foundation of Hubei Province(grant 2022CFB621).
文摘Cerebral small vessel disease(CSVD),a chronic and progressive vascular disorder closely associated with stroke and dementia,is primarily identified and diagnosed in cranial magnetic resonance imaging(MRI).Given the limited evidence on the relationship between air pollution and CSVD,this study aimed to investigate the links between multiple air pollutants exposure and CSVD risk.Eligible subjects and their cranial MRI data were obtained from the Multi-modality Medical Imaging Study Based on Kailuan Study,totaling 1216 participants.Ordinal and binary logistic regression models were utilized to evaluate the associations between air pollution exposure and the neuroimaging markers of CSVD.For each interquartile range increase in air pollutant exposure during the examination year,the odds ratios and 95% confidence intervals of the increased white matter hyperintensity burden were 1.45(1.15,1.84)for PM_(2.5),1.72(1.27,2.34)for PM_(10),1.26(1.05,1.51)for SO_(2),1.52(1.16,2.00)for NO_(2),and 1.63(1.26,2.13)for CO.The results remained consistent even when the model was fitted using air pollution from different exposure windows.Furthermore,the estimated effect sizes for the total burden of CSVD were 1.20(1.01,1.43)for PM_(2.5),1.39(1.12,1.74)for PM_(10),1.26(1.03,1.53)for NO_(2),and 1.30(1.08,1.58)for CO.These findings suggest that a positive link between air pollutants exposure and neuroimaging markers of CSVD in the Chinese population,revealing the importance of controlling environmental pollutants to protect the population against cerebral small vessel damage.
基金supported by the National Natural Science Foundation of China(82304231)Natural Science Foundation of Hubei Province(2022CFB621).
文摘Prospective evidence on the associations between residential greenness and risks of major diabetic complications remains limited.We explored the associations of residential greenness with incident diabetic macrovascular and microvascular complications among individuals with type 2 diabetes(T2D),and further assessed the roles of lifestyle factors in these associations.Our study included 13,848 patients with T2D.The Normalised Difference Vegetation Index(NDVI)within a 300-m buffer was used as the indicator of residential greenness.Eight lifestyle factors were included to construct a weighted healthy lifestyle score.Cox proportional hazard models were performed to assess the links between residential greenness and diabetic complication risks.We found that each interquartile range increase of NDVI within 300-m buffer was significantly associated with decreased diabetic complication risks,with hazard ratios(95%confidence intervals)of 0.921(0.881,0.964)for composite macrovascular complications,0.886(0.805,0.975)for stroke,0.901(0.825,0.985)for heart failure,0.914(0.866,0.965)for coronary artery disease,0.909(0.865,0.956)for composite microvascular complications,0.842(0.757,0.937)for diabetic neuropathy,and 0.899(0.841,0.961)for diabetic nephropathy.Air pollutants and physical activity partly mediated these associations.Lifestyle factors modified some residential greennesscomplications associations,and no significant associations between residential greenness and diabetic complications were observed among participants with poor lifestyles.Higher residential greenness levels were linked with lower risks of diabetic complications,and lifestyle factors might modify these associations.
