Number Of Activity Types Research Articles

Relationship of leisure-time and household physical activity level and type with cardiovascular disease: secondary analysis of the Takashima Study data

BackgroundHigh levels of participation in leisure-time and household physical activity lower the risk of cardiovascular disease (CVD), although it is unclear whether the number of activity types is related to new-onset CVD. We aimed to evaluate the effect of the amount of leisure-time physical activity and the number of types of leisure-time physical activities on the risk of CVD incidence.MethodsFrom 2002 to 2003, 3,741 participants without any history of CVD participated in the Takashima Study. Data on the amount of leisure-time and household physical activity and the types of leisure-time and household physical activity were obtained from a self-administered questionnaire. Hazard ratios for CVD (acute myocardial infarction and stroke) incidence (follow-up data from 2002 to 2013), according to the participation level and number of activity types, were calculated using Cox proportional hazards models.ResultsThe mean age of the subjects was 58.7 ± 13.1 years. During the mean follow-up period of 8.0 ± 1.1 years, 92 participants developed CVD. An inverse dose–response relationship was noted between the amount of leisure-time and household physical activity and CVD events. After adjusting for baseline characteristics, lifestyle-related diseases, and the amount of physical activity other than leisure-time and household, the risk of CVD onset was compared by dividing the participants into two groups by the level of participation; the highest activity group had an adjusted hazard ratio (95% confidence interval) of 0.40 (0.20–0.82) compared to the lowest activity group. Compared to participants who engaged in 0–1 type of activity, participants who engaged in two or more types of activities had a multivariable-adjusted hazard ratio (95% confidence interval) of 0.31 (0.12–0.79).ConclusionIncreasing the amount of leisure-time and household physical activity and promoting engagement in two or more types of such activities may reduce the rate of CVD incidence in the Japanese general population.

Interventions to reduce medication errors in adult medical and surgical settings: a systematic review.

Background and Aims:Medication errors occur at any point of the medication management process, and are a major cause of death and harm globally. The objective of this review was to compare the effectiveness of different interventions in reducing prescribing, dispensing and administration medication errors in acute medical and surgical settings.Methods:The protocol for this systematic review was registered in PROSPERO (CRD42019124587). The library databases, MEDLINE, CINAHL, EMBASE, PsycINFO, Cochrane Database of Systematic Reviews and the Cochrane Central Register of Controlled Trials were searched from inception to February 2019. Studies were included if they involved testing of an intervention aimed at reducing medication errors in adult, acute medical or surgical settings. Meta-analyses were performed to examine the effectiveness of intervention types.Results:A total of 34 articles were included with 12 intervention types identified. Meta-analysis showed that prescribing errors were reduced by pharmacist-led medication reconciliation, computerised medication reconciliation, pharmacist partnership, prescriber education, medication reconciliation by trained mentors and computerised physician order entry (CPOE) as single interventions. Medication administration errors were reduced by CPOE and the use of an automated drug distribution system as single interventions. Combined interventions were also found to be effective in reducing prescribing or administration medication errors. No interventions were found to reduce dispensing error rates. Most studies were conducted at single-site hospitals, with chart review being the most common method for collecting medication error data. Clinical significance of interventions was examined in 21 studies. Since many studies were conducted in a pre–post format, future studies should include a concurrent control group.Conclusion:The systematic review identified a number of single and combined intervention types that were effective in reducing medication errors, which clinicians and policymakers could consider for implementation in medical and surgical settings. New directions for future research should examine interdisciplinary collaborative approaches comprising physicians, pharmacists and nurses.Lay summary Activities to reduce medication errors in adult medical and surgical hospital areas Introduction:Medication errors or mistakes may happen at any time in hospital, and they are a major reason for death and harm around the world.Objective:To compare the effectiveness of different activities in reducing medication errors occurring with prescribing, giving and supplying medications in adult medical and surgical settings in hospital.Methods:Six library databases were examined from the time they were developed to February 2019. Studies were included if they involved testing of an activity aimed at reducing medication errors in adult medical and surgical settings in hospital. Statistical analysis was used to look at the success of different types of activities.Results:A total of 34 studies were included with 12 activity types identified. Statistical analysis showed that prescribing errors were reduced by pharmacists matching medications, computers matching medications, partnerships with pharmacists, prescriber education, medication matching by trained physicians, and computerised physician order entry (CPOE). Medication-giving errors were reduced by the use of CPOE and an automated medication distribution system. The combination of different activity types were also shown to be successful in reducing prescribing or medication-giving errors. No activities were found to be successful in reducing errors relating to supplying medications. Most studies were conducted at one hospital with reviewing patient charts being the most common way for collecting information about medication errors. In 21 out of 34 articles, researchers examined the effect of activity types on patient harm caused by medication errors. Many studies did not involve the use of a control group that does not receive the activity.Conclusion:A number of activity types were shown to be successful in reducing prescribing and medication-giving errors. New directions for future research should examine activities comprising health professionals working together.

EXAMINATION OF ACTIVITIES IN THE PRIMARY SCHOOL LIFE SCIENCES TEXTBOOKS IN TURKEY

Students can find elements from life in one of the elementary school courses, life sciences. For this reason, it is important that the quality of the activities in this course. The aim of this study is classification of activities in textbooks of primary school life sciences taught in 2016-2017 academic year in our country. Document analysis technique is used in this study which has qualitative research feature. As a result of the analyzes, the total number of activities in the first grade life sciences textbook is 295, number 388 in the second grade textbook and 363 in the third grade textbook. The largest number of events in all of the textbooks is expressing thought, value judgment, assumption. This is followed by the interpretation of photographs and pictures events in all books. In the least number of activity types in the textbooks, it is determined that singing is the first grade textbook. The types of activities that have only one in the second grade textbook are discussing, calculation, singing, doing acrostic work and doing experiment. In the 3rd grade textbook, slogan writing, classification, listing, matching and table, making graphic, concept mapping activities are at least in number. Article visualizations:

Research on Outdoor Environments and Activity Behavior of Senior Citizens with Dementia - A Study in Taipei City

In 2015, Alzheimer's Disease International reported that there are over 47.5 million cases of dementia worldwide. In Taiwan, the number of individuals with dementia has reached 244 thousand. Access to suitable outdoor environments can improve the physical, mental, and spiritual health of senior citizens, which in-turn reduces the burden faced by caregivers as well as expenditures related social resources. This study used GPS data and in-depth interviews to examine the effect of exposure to an outdoor environment on 12 senior citizens with mild, moderate, or severe dementia in Taipei. The conclusions of this study were as follows: (1) Outdoor environments should be designed in accordance with the principles of distinctiveness, safety, environmental stimulation, accessibility, comfort, familiarity, and social support. (2) As the severity of dementia increased, the number of activity types that patients could engage in was reduced. In addition, only subjects with mild dementia participated in cognitive activities. (3) Dementia does not equal disability. Based on these findings, we recommend that outdoor environment facilities should be provide to senior citizens depending on the severity of their dementia. Besides that, adequate public facilities should be establish within 800 m of all communities to allow senior citizens to age in place, provide caregivers with some respite, and to achieve the goal of dementia-friendly communities.

Patterns of leisure-time physical activity using multivariate finite mixture modeling and cardiovascular risk factors in the Northern Manhattan Study

PurposePhysical activity is currently commonly summarized by simple composite scores of total activity, such as total metabolic equivalent score (METS), without further information about the many specific aspects of activities. We sought to identify more comprehensive physical activity patterns, and their association with cardiovascular disease risk factors. MethodsThe Northern Manhattan Study is a multiethnic cohort of stroke-free individuals. Questionnaires were used to capture multiple dimensions of leisure-time physical activity. Participants were grouped into METS categories and also into clusters by multivariate mixture modeling of activity frequency, duration, energy expenditure, and number of activity types. Associations between clusters and risk factors were assessed using χ2 tests. ResultsUsing data available in 3293 participants, we identified six model-based clusters that were differentiated by frequency and diversity of activities, rather than activity duration. High activity clusters had lower prevalence of the risk factors compared with those with lower activity; associations with obesity and hypertension remained significant after adjusting for METS (P = .027, .043). METS and risk factors were not significantly associated after adjusting for the clusters. ConclusionsData-driven clustering method is a principled, generalizable approach to depict physical activity and form subgroups associated with cardiovascular risk factors independently of METS.

Abstract MP79: Physical Activity Patterns by Data-driven Model-based Clustering Improve Association with Cardiovascular Risk Factors in a Multiethnic Cohort: The Northern Manhattan Study

Background: Physical activity is a complex modifiable risk factor (RF) for cardiovascular disease (CVD). Current methods to measure physical activity are limited by the use of summary scores such as total metabolic equivalents score (METS). Hypothesis: Physical activity patterns derived by a data-driven clustering method are associated with CVD RFs independently of METS. Methods: The Northern Manhattan Study is a prospective cohort of older, urban-dwelling, multiethnic, stroke-free individuals. Questionnaires were used to capture multi-dimensions of leisure-time physical activity, which was summarized with METS (total activity minutes х intensity in MET). Participants were grouped into previously defined METS categories (less than 1, greater than 14, and 1-14), and also into clusters by multivariate finite mixture modeling based on activity frequency, duration, energy expenditure, and number of activity types. Bayesian information criterion was used to decide number of clusters. Associations between model-based clusters and 4 RFs (diabetes, hypertension, obesity, high waist circumference) were assessed in the entire cohort and in each METS category; associations between METS and RFs were assessed in each cluster. Chi-squared test was used. Results: Physical activity data were available in 3293, with mean age 69 years, 63% women, and 52% Hispanic. Six clusters were identified and labeled I-VI (Table 1). Model-based clusters were associated with all four RFs (all p≤0.01), with clusters V and VI having lower RFs prevalence than the others: the association with obesity prevailed among those with 1≤METS≤14 (p<0.01); and with hypertension among those with METS>14 (p=0.03). METS categories were associated with all four RFs in the entire cohort (all p≤0.04); METS and RFs became no longer significantly associated within clusters. Conclusions: A data-driven clustering method for depicting physical activity data is a principled, generalizable approach to form subgroups associated with CVD RFs independently of METS.

STRUCTURING THE LEISURE MARKET—A MULTIVARIATE ANALYSIS

ABSTRACTThe derivation of an empirically based classification scheme for the leisure market is discussed from both a substantive and methodological viewpoint. The substantive findings relate to the manner in which respondents structured relationships among 12 leisure activities and to the criteria they used in doing so. Based on the apparent structure, a number of activity types were identified. The methodological thrust of the article provides one example of how a variety of multivariate methods (multidimensional scaling, property fitting, cluster analysis and factor analysis) can be employed to form a system of complementary techniques aimed at providing an in‐depth understanding of data and the phenomena they describe.