Characterizing relapsing remitting multiple sclerosis patients burdened with hypertension, hyperlipidemia, and asthma

Sorensen, Alena; Conway, Devon; Briggs, Farren

doi:10.1016/j.msard.2021.103040

Cited by 7 publications

(9 citation statements)

References 42 publications

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“…14,21,24,25,28,29,31,36,40,46,58,59,63,68–70,74–76 Health care access was examined as a primary contributor in 26% (N=15) of the included studies. 14,22,28,29,31,37,38,41,46,47,52,53,57–59,63,67,76 by several variables including health insurance coverage, 14,22,28,29,31,37,52,53,57,58,67,70,76 routine place for care, 14,28 health insurance patterns, 38,41,47 provider continuity, 41 health professional shortage area 22,46 and delaying/forgoing medical care. 59,63 Economic stability was explored as a primary contributor in 46% (N=26) of the studies.…”

Section: Resultsmentioning

confidence: 99%

“…59,63 Economic stability was explored as a primary contributor in 46% (N=26) of the studies. 14,21–24,28,29,31,33,34,36,37,40–42,45,46,51,58–60,63,65,67–70,74,76 using a variety of measures, including income-to-poverty ratio, 21,40,45 family income-to-poverty ratio, 28 employment status, 14,28,33,37,42,60,63 employment categories, 23 poverty status, 29,70 federal poverty line, 31,41 cost-related medication nonadherence, 34 financial strain, 14,59 individual income level, 14,36,46,63,68,69,76 household income, 22,65,67,74 house tenure, 14 state-level minimum wage, 24 total wealth, 14,36 and net worth. 68 Neighborhood environment was examined in 58% (n=33) of the studies 14,22,26,27,30,32,35,38,41–44,46,49–53,55–57,59–64,66,70–74 as a primary contributor using several variables including neighborhood problems, 14 safety, 14 crime, 50,52 walkability 22,43,51,52,55,62,70,73 and SES,…”

Section: Resultsmentioning

confidence: 99%

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Impact of Social Determinants of Health on Hypertension Outcomes: A Systematic Review

Metlock,

Hinneh,

Benjasirisan

et al. 2024

Hypertension

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Despite ample evidence linking social determinants of health (SDoH) and hypertension outcomes, efforts to address SDoH in the context of hypertension prevention and self-management are not commensurate with the burden and impact of hypertension. To provide valuable insights into the development of targeted and effective strategies for preventing and managing hypertension, this systematic review, guided by the Healthy People 2030 SDoH framework, aims to summarize the inclusion, measurement, and evaluation of SDoH in studies examining hypertension outcomes, with a focus on characterizing SDoH constructs and summarizing the current evidence of their influence on hypertension outcomes. Following Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) guidelines, a comprehensive search of electronic databases identified 10 608 unique records, from which 57 articles meeting inclusion criteria were analyzed. The studies, conducted nationally or regionally across the United States, revealed that higher educational attainment, health insurance coverage, income, and favorable neighborhood characteristics were associated with lower hypertension prevalence and better hypertension control among US adults. The findings underscore the importance of addressing SDoH such as education, health care access, economic stability, neighborhood environments, and social context to reduce hypertension disparities. Multilevel collaboration and community-engaged practices are necessary to tackle these disparities effectively.

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Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Impact of Social Determinants of Health on Hypertension Outcomes: A Systematic Review

Metlock,

Hinneh,

Benjasirisan

et al. 2024

Hypertension

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show abstract

“…Considering the total population, 25% of PwMS was affected by hypertension, in line with a previous American study showing the same prevalence [ 11 ]. Hypertension brings to an increased risk of complications and it could be linked, as other comorbidities, to autoimmunity and chronic inflammation of MS, in addition to other unhealthy lifestyles, such as a sedentary behavior, poor health, and socioeconomic status [ 19 , 20 ].…”

Section: Discussionmentioning

confidence: 99%

Prevalence of chronic comorbidities in people with multiple sclerosis: descriptive study based on administrative data in Tuscany (Central Italy)

et al. 2022

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Objective Chronic comorbidities are common in people with multiple sclerosis (PwMS), thus worsening their prognosis and quality of life, and increasing disease burden. The aim of the present study was to evaluate the prevalence of common comorbidities in PwMS in Tuscany (Central Italy) and to compare it with the general population. Methods The prevalence of comorbidities, including diabetes, chronic obstructive pulmonary disease (COPD), hypertension, stroke, heart failure (HF), cardiac infarction and ischemic heart disease (IHD), was assessed in PwMS and in general population resident in Tuscany, aged > 20 years, using administrative data. Results In total, we identified 8,274 PwMS. Among them, 34% had at least one comorbidity, with hypertension being the most common (28.5%). Comparing PwMS with the general population, PwMS had a higher frequency of hypertension and stroke when considering the whole group, and of diabetes, COPD, and IHD when considering sex and age subgroups. This increased risk was especially evident in the young and intermediate age groups, where multiple sclerosis may play an important role as risk factor for some comorbidities. In PwMS, as well as in the general population, prevalence of chronic diseases was higher in males and increased with age. Conclusions Comorbidities frequently coexist with multiple sclerosis and they may have an impact on this complex disease, from the health, clinical, and socioeconomic points of view. Therefore, a routine screening of chronic comorbidities should be a crucial step in clinical practice, as well as the promotion of healthy lifestyles to prevent the onset and to reduce their burden.

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“…In the recommendation system, there are two ways to obtain information: display and implicit. (1) We display the way to obtain information that can obtain the following types of data: ① the data provided by the user during registration, including the user's basic attributes, such as the user's name, income, occupation, age, native place, educational background, and family situation. e literature [7,8] initializes the user modeling based on the user's basic attributes; ② data manually entered by the user, and the keywords entered by the user generally represent the user's preferred channel and theme; and ③ the user's explicit feedback data [9] show the user's evaluation of the viewed items, reflecting the user's liking for the items.…”

Section: User Modelingmentioning

confidence: 99%

“…People's opportunities to get close to nature are gradually decreasing. At the same time, the health status of Chinese residents is also worrying; according to the big data of China's health released by China Digital Medical Network HC3i in 2014, China has more than 100 million people suffering from hypertension and hyperlipidemia [ 1 ], more than 70 million people are overweight, and the phenomenon of various diseases among young people shows an increasing trend.…”

Section: Introductionmentioning

confidence: 99%

Personalized Item Recommendation Algorithm for Outdoor Sports

Lei

Shan

Jiang

2022

Computational Intelligence and Neuroscience

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With the rapid development of China’s economy, people are eager for an effective way to relieve work pressure and strengthen their health at the same time. Outdoor sport is one of the best choices for people. However, the amount of recommended data on the network is very large. As a result, when people understand outdoor sports through the network, they cannot effectively obtain the information they want. This is the problem of “information overload,” and personalized recommendation system can effectively alleviate this problem. In order to effectively recommend outdoor sports to users, a useful attempt was made in the personalized recommendation system for outdoor sports in this paper. The specific work of this paper is as follows: firstly, the current situation of outdoor sports in China was summarized, and the related technologies of the recommendation system were studied, including user modeling technology, recommendation target modeling technology, and recommendation algorithm. In order to obtain better recommendation effect, this paper proposes to mix user-based collaborative filtering recommendation algorithm, project-based collaborative filtering recommendation algorithm, and content-based recommendation algorithm. The hybrid algorithm adopts the way of feature expansion and weighted combination. Firstly, the hybrid model (model 1) of user-based collaborative filtering recommendation and content-based recommendation is obtained. Secondly, the hybrid model (model 2) based on project collaborative filtering recommendation and content-based recommendation was obtained. Finally, model 1 and model 2 were combined together to get a hybrid model with better final recommendation effect. For the common cold start problem in the recommendation system, the system adopts content-based recommendation algorithm to solve it.

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Characterizing relapsing remitting multiple sclerosis patients burdened with hypertension, hyperlipidemia, and asthma

Cited by 7 publications

References 42 publications

Impact of Social Determinants of Health on Hypertension Outcomes: A Systematic Review

Impact of Social Determinants of Health on Hypertension Outcomes: A Systematic Review

Prevalence of chronic comorbidities in people with multiple sclerosis: descriptive study based on administrative data in Tuscany (Central Italy)

Personalized Item Recommendation Algorithm for Outdoor Sports

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