Proof of Concept of a 6-Month Person-Oriented Exercise Intervention ‘MultiPill-Exercise’ among Patients at Risk of or with Multiple Chronic Diseases: Results of a One-Group Pilot Trial

Schweda, Simone; Munz, Barbara; Burgstahler, Christof; Nieß, Andreas M.; Rösel, Inka; Sudeck, Gorden; Krauß, Inga

doi:10.3390/ijerph19159469

Cited by 7 publications

(9 citation statements)

References 81 publications

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“…In our study, 65.45% like salt in food as was found in study of Clermont et al, 2022; which showed 87% prevalence 5 . Moreover, our study findings were consistent with Ghimire et al, 2021; by not preferring salt in food 15 24,2,22,11 . Furthermore, in study of Ghimire et al, 2021; showed 13-16%, 15-19%, 19-27%, 22-34% and 24% among Bangladesh, Pakistan, Sri Lanka, Nepal and Bhutan respectively 15 ; as shown in Table 3.…”

Section: Resultssupporting

confidence: 93%

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Determinants of Dietary Pattern & Non Communicable Diseases among Adult Population of Districts Kohat & Nowshera KP

Khan¹,

Hussain²,

Qazi³

et al. 2023

PJMHS

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Aim: To estimate the burden of non-communicable diseases and to assess the dietary pattern along with important relevant determinants among adult population of district Kohat & Nowshera Khyber Pukhtunkhwa Pakistan Study Design: A descriptive cross sectional study Place & Duration: This study was conducted in Kohat & Nowshera Districts of Khyber Pukhtunkhwa Pakistan; from June to December 2022. Methodology: A total of n=385 male adults was selected and a structured questionnaire was used to collect relevant information regarding demographic, dietary, behavioral determinants. Finally data was analyzed and presented in form of text and tables. Results: Results showed that 55.71% had age above 37 years; 28.31% were illiterate; 25.71% had monthly income more than 45000/ PKR; 60.78% were married; and 82.08% were employed. Moreover, 30.39% were current tobacco smoking; and 24.68% had positive history of past tobacco smoking. Furthermore, 44.94% prefer high caloric; 40.78% vegetables; 45.19% meat; 63,38% fresh fruits; and 18.70% & 21.30% prefer too much sugar and salt in food respectively. Furthermore; hypertension, malnutrition, eye problems and cancer were found among 22.60%, 59.74%, 7.01% & 2.08% respectively. Conclusions: It was concluded that common non-communicable diseases were present in the studied male adults and showed strong relationship with dietary pattern along with demographic, epidemiological and socio-economical determinants. Moreover, effective and efficient policies and strategies were needed to reduce the double burden of non-communicable disease and its associated complications. Keywords: Prevalence, Determinants, Diet, Vegetables, Overweight, Obesity, Tobacco, Adults

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Section: Resultssupporting

confidence: 93%

“…In 24,2,11 , while in our study it was 13.25%. Moreover, in studies conducted internationally showed 6.07%; and 0.2% prevalence of blindness, cataract, glaucoma and low vision whereas in our study about 7.01% had eye problems 16 .…”

Section: Resultscontrasting

confidence: 55%

Determinants of Dietary Pattern & Non Communicable Diseases among Adult Population of Districts Kohat & Nowshera KP

Khan¹,

Hussain²,

Qazi³

et al. 2023

PJMHS

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“…Smoking and poor physical activity were considered harmful to health ( 28 – 30 ), and our results provide further evidence. Previous alcohol is a risk factor for health, whereas current alcohol is the opposite.…”

Section: Discussionsupporting

confidence: 65%

A study of factors impacting disease based on the Charlson Comorbidity Index in UK Biobank

Wang

Zhang

et al. 2023

Front. Public Health

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ObjectiveWith advances in medical diagnosis, more people are diagnosed with more than one disease. The damage caused by different diseases varies, so relying solely on the number of diseases to represent multimorbidity is limited. The Charlson comorbidity index (CCI) is widely used to measure multimorbidity and has been validated in various studies. However, CCI's demographic and behavioral risk factors still need more exploration.MethodsWe conduct multivariate logistic regression analysis and restricted cubic splines to examine the influence factors of CCI and the relationship between covariates and risk of CCI, respectively. Our research employs the Multivariate Imputation by Chained Equations method to interpolate missing values. In addition, the CCI score for each participant is calculated based on the inpatient's condition using the International Classification of Diseases, edition 10 (ICD10). Considering the differences in the disease burden between males and females, the research was finally subgroup analyzed by sex.ResultsThis study includes 5,02,411 participants (2,29,086 female) with CCI scores ranging from 0 to 98. All covariates differed between CCI groups. High waist-hip ratio (WHR) increases the risk of CCI in both males [OR = 19.439, 95% CI = (16.261, 23.241)] and females [OR = 12.575, 95% CI = (11.005, 14.370)], and the effect of WHR on CCI is more significant in males. Associations between age, Body Mass Index (BMI) and WHR, and CCI risk are J-shaped for all participants, males, and females. Concerning the association between Townsend deprivation index (TDI) and CCI risk, the U-shape was found in all participants and males and varied to a greater extent in males, but it is a J-shape in females.ConclusionsIncreased WHR, BMI, and TDI are significant predictors of poor health, and WHR showed a greater role. The impact of deprivation indices on health showed differences by sex. Socio-economic factors, such as income and TDI, are associated with CCI. The association of social status differences caused by these socioeconomic factors with health conditions should be considered. Factors might interact with each other; therefore, a comprehensive, rational, and robust intervention will be necessary for health.

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“…Due to COVID-19-associated restrictions, T1 diagnostics had to be cancelled for subjects in wave #2. In addition, as specified in [ 11 ], the intervention itself had to be considerably adapted and modified for this group to comply with COVID-19 contact restrictions then effective at our institution. For some subjects, no spiroergometry data were available at T1 or T2, or they dropped out of the entire study (for reasons, see [ 11 ]).…”

Section: Subjects Materials and Methodsmentioning

confidence: 99%

“…The data described here are the results of a pilot study on n = 39 subjects that was carried out in 2019/2020 [ 11 ]. Based thereon, a prospective, randomized, controlled trial on n = 320 subjects was initiated in April 2022 [ 11 ].…”

Section: Introductionmentioning

confidence: 99%

Adipokines as Predictive Biomarkers for Training Adaptation in Subjects with Multimorbidity—A Hypothesis-Generating Study

Maturana

Rossaint

Schweda

et al. 2023

JCM

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Background. Physical exercise exerts a positive effect on many chronic conditions, specifically lifestyle-related diseases such as overweight and obesity, type 2 diabetes mellitus (T2DM), cardiovascular conditions and osteoarthritis (OA). As a result of common risk factors, most of these patients present with multiple conditions. Exercise- and disease-related biomarkers, such as adipokines, are emerging tools in training supervision and regulation; however, their significance in subjects with multimorbidities is unknown. Subjects and Methods. To address this issue, adipokines leptin, adiponectin and resistin were assessed in a cohort of subjects with multimorbidities (n = 39) presenting with at least two of the abovementioned conditions or relevant risk factors before and after a six-month exercise and lifestyle intervention program (‘MultiPill-Exercise’), and correlated with training adaptation, namely changes in relative maximum oxygen uptake (V·O2max). Results. There was a significant negative correlation between baseline leptin concentrations and training effect for relative V·O2max (after three months: rho = −0.54, p = 0.020 *; after six months: rho = −0.45, p = 0.013 *), with baseline leptin explaining 35% of the variance in delta relative V·O2max after three months and 23% after six months. Conclusions. Leptin might be a suitable surrogate biomarker in the context of exercise-based lifestyle intervention programs in subjects with multimorbidity.

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Proof of Concept of a 6-Month Person-Oriented Exercise Intervention ‘MultiPill-Exercise’ among Patients at Risk of or with Multiple Chronic Diseases: Results of a One-Group Pilot Trial

Cited by 7 publications

References 81 publications

Determinants of Dietary Pattern & Non Communicable Diseases among Adult Population of Districts Kohat & Nowshera KP

Determinants of Dietary Pattern & Non Communicable Diseases among Adult Population of Districts Kohat & Nowshera KP

A study of factors impacting disease based on the Charlson Comorbidity Index in UK Biobank

Adipokines as Predictive Biomarkers for Training Adaptation in Subjects with Multimorbidity—A Hypothesis-Generating Study

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