The impact of key modifiable risk factors on leading chronic conditions

Adams, Mildred; Grandpre, Joseph; Katz, David L.; Shenson, Douglas

doi:10.1016/j.ypmed.2019.01.006

Cited by 90 publications

(53 citation statements)

References 19 publications

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“…The multiple chronic disease rate (31.8%) of the elderly who ate fresh fruits almost daily was signi cantly lower than that of the elderly who consumed other frequencies (55.6%). It suggests that eating fresh fruit every day is a protective factor against multiple chronic diseases, which is consistent with the previous study [28].…”

Section: Related In Uencing Factors Of Multiple Chronic Diseasessupporting

confidence: 93%

Patterns and Related Influencing Factors of Multiple Chronic Diseases Among the Elderly Based on Data Mining in Shanxi, China

Zhang

Xiao

Shi

et al. 2020

Preprint

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Background: The presence of multiple chronic diseases has become a public health issue worldwide. The study aimed to explore the patterns and related influencing factors of multiple chronic diseases among the elderly so as to provide a scientific reference for the health management strategy, which is dedicated to the prevention and intervention for multiple chronic diseases. Methods: A cross-sectional study, which used a multi-stage random sampling way, was conducted among 3266 elderly aged 60 years and above in Shanxi. A chi square test was used to compare the sociodemographic factors. The data mining methods, including association rule and decision tree, were performed to explore the patterns and related influencing factors of multiple chronic diseases in the elderly.Results: The prevalence of multiple chronic diseases was 30.31%. According to the results of the association rules, there were 10 association patterns screened out. The first five multiple chronic disease patterns were atherosclerosis and hypertension, coronary heart disease and hypertension, diabetes and hypertension, stroke and hypertension, eye disease and hypertension. The decision tree model selected 5 related influencing factors of multiple chronic diseases, including age, smoking, family genetic history, fresh fruit intake frequency and education level, simultaneously generating 9 influence rules.Conclusions: Multiple chronic diseases were prevalent among the elderly, which patterns mainly consisted of two or three chronic diseases. Regarding the unmodifiable related influencing factors, including an older age, a family genetic history, and low education level, relevant departments should help the elderly to establish prevention knowledge and raise awareness of strongly related chronic diseases, so as to reduce the incidence and adverse consequences.

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Section: Related In Uencing Factors Of Multiple Chronic Diseasessupporting

confidence: 93%

Patterns and Related Influencing Factors of Multiple Chronic Diseases Among the Elderly Based on Data Mining in Shanxi, China

Zhang

Xiao

Shi

et al. 2020

Preprint

View full text Add to dashboard Cite

show abstract

“…Both lists include persons with chronic diseases for which behavioral risk factors have been well identified (12,13). In particular, the 7 risk factors of smoking, sedentary lifestyle, obesity, diabetes, hypertension, high cholesterol, and inadequate fruit and vegetable consumption together contributed to an average of 41.4% of the burden of 5 of the 6 chronic conditions used in our study (all except cancer); obesity and smoking contributed the most to the burden (12). Results showing seasonal influenza vaccination rates <50% are concerning.…”

Section: Discussionmentioning

confidence: 99%

Population-Based Estimates of Chronic Conditions Affecting Risk for Complications from Coronavirus Disease, United States

Adams¹,

Katz²,

Grandpre³

2020

Emerg. Infect. Dis.

Self Cite

110

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“…Taken together, these results suggest that risk stratification based on age or number of underlying conditions might be considered as a means of more safely phasing in returning to work. All the underlying conditions used in our updated measure are conditions for which behavioral risk factors have been well established (7,8). In unadjusted results each selected risk factor was associated with increased likelihood of reporting any of the 6 underlying conditions.…”

Section: The Studymentioning

confidence: 99%

Updated Estimates of Chronic Conditions Affecting Risk for Complications from Coronavirus Disease, United States

Adams¹,

Katz²,

Grandpre³

2020

Emerg. Infect. Dis.

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W e had earlier reported estimates of any conditions affecting risk for complications from coronavirus disease (COVID-19) (hypertension, cancer, asthma, chronic obstructive pulmonary disease, diabetes, and cardiovascular disease) on the basis of mortality data from China (1). Recent US data on hospitalizations for COVID-19 (2) indicate that 89% had an underlying condition, but obesity was substituted for cancer in that list. We update those previous estimates of adults at risk (1) by using the US hospitalization data definition, which includes obesity instead of cancer.

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The impact of key modifiable risk factors on leading chronic conditions

Cited by 90 publications

References 19 publications

Patterns and Related Influencing Factors of Multiple Chronic Diseases Among the Elderly Based on Data Mining in Shanxi, China

Patterns and Related Influencing Factors of Multiple Chronic Diseases Among the Elderly Based on Data Mining in Shanxi, China

Population-Based Estimates of Chronic Conditions Affecting Risk for Complications from Coronavirus Disease, United States

Updated Estimates of Chronic Conditions Affecting Risk for Complications from Coronavirus Disease, United States

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