Category: Statistics

BMC Prim Care. 2022 May 26;23(1):131. doi: 10.1186/s12875-022-01725-8.

ABSTRACT

BACKGROUND: Home blood pressure monitoring (HBPM) could improve blood pressure control through therapeutic adherence. The main objective of this study was to determine the link between HBPM used by hypertensive patients treated in primary care and their medication adherence.

METHODS: Cross-sectional comparative study conducted in the Auvergne region from June to November 2016. Patients were recruited by general practitioners (GPs) selected at random. Adherence was evaluated according to the Girerd score.

RESULTS: From a sample of eighty-two GPs including 1026 patients, 45% of patients reported owning an HBPM device. Among these, 18% knew the rule of 3 (3 measurements in the morning and 3 in the evening for 3 days) recommended by the French State Health Authority. There was no difference in adherence between patients using HBPM and those who did not. Patients with HBPM using the rule of 3 reported better adherence than patients without the device (p = 0.06), and those who did not perform self-measurements according to the rule of 3 (p = 0.01). Patients who used HBPM according to the rule of 3 were older (p = 0.006) and less smokers (p = 0.001) than the others. Their GPs were more often GP teachers (p < 0.001) who practiced in rural areas (p = 0.001).

CONCLUSION: The statistical link between medication adherence and HBPM for patients who apply the rule of 3, emphasizes the importance of the GP educating the patient on the proper use of HBPM.

PMID:35619091 | DOI:10.1186/s12875-022-01725-8

BMC Nephrol. 2022 May 26;23(1):197. doi: 10.1186/s12882-022-02795-7.

ABSTRACT

BACKGROUND: Chronic kidney disease(CKD) is a major public health issue and is highly prevalent in the general population. Leptin is an adipose tissue-derived endocrine factor that has been associated with several metabolic factors involved in cardiovascular diseases. Several studies have investigated the association between leptin and renal diseases so far. But the results are conflicting between the studies. The objective of our study was to verify the direct association of serum leptin level with CKD development.

METHODS: This prospective cohort study included 2646 adult aged 40-70 without CKD in the Korean Genome and Epidemiology Study(KoGES) across South Korea from November 2005 to February 2012. The primary outcome was the development of CKD as defined by National Kidney Foundation Kidney Disease Outcomes Quality Initiative (KDOQI). Multivariate stepwise logistic regression analysis was done to assess the independent associations, for with the incident of CKD as the dependent variable, in tertiles of leptin values.

RESULTS: Among 1100 men and 1546 women with 2.8 mean years of follow-up, incidence of CKD was 18(1.63%) for men and 50(3.23%) for women. In the multivariate logistic regression models, individuals in the highest serum leptin tertile showed significant associations with risk of CKD after adjustment compared to the lowest tertiles in the population. The crude odds ratio for trend was 2.95(p = 0.004) for men. After adjusting for age, baseline eGFR variables showed correlation with statistical significance (OR for trend = 2.25, p = 0.037) for men. The same trends were also seen observed in all population and women also, but no statistical significance was found.

CONCLUSIONS: Higher plasma leptin levels are associated with the incidence of CKD, independent of traditional factors such as age, baseline eGFR. Our results suggest that leptin may partly explain part of the reported association between obesity and kidney disease.

PMID:35619087 | DOI:10.1186/s12882-022-02795-7

BMC Musculoskelet Disord. 2022 May 26;23(1):498. doi: 10.1186/s12891-022-05414-6.

ABSTRACT

BACKGROUND: Osteoarthritis (OA) is typically associated with pain, but many patients are not treated.

METHODS: This point in time study explored factors associated with treatment status, using logistic regression of data from the Adelphi OA Disease Specific Programme conducted in the United States. Patients’ treatment status was based on physician-reported, current: 1) prescription medication for OA vs. none; and 2) physician treatment (prescription medication and/or recommendation for specified nonpharmacologic treatment for OA [physical or occupational therapy, acupuncture, transcutaneous electrical nerve stimulation, or cognitive behavior therapy/psychotherapy]) vs. self-management (no prescription medication or specified nonpharmacologic treatment).

RESULTS: The 841 patients (including 57.0% knee OA, 31.9% hip OA) reported mild (45.4%) or moderate or severe (54.6%) average pain intensity over the last week. The majority were prescribed medication and/or recommended specified nonpharmacologic treatment; 218 were not prescription-medicated and 122 were self-managed. Bivariate analyses showed less severe patient-reported pain intensity and physician-rated OA severity, fewer joints affected by OA, lower proportion of joints affected by knee OA, better health status, lower body mass index, and lower ratings for cardiovascular and gastrointestinal risks, for those not prescribed medication (vs. prescription-medicated). Multivariate analyses confirmed factors significantly (p < 0.05) associated with prescription medication included (odds ratio): physician-rated current moderate OA severity (vs. mild, 2.03), patient-reported moderate OA severity 6 months ago (vs. mild, 1.71), knee OA (vs. not, 1.81), physician-recommended (0.28) and patient-reported (0.43) over-the-counter medication use (vs. not), prior surgery for OA (vs. not, 0.37); uncertain income was also significant. Factors significantly (p < 0.05) associated with physician treatment included (odds ratio): physician-recommended nonpharmacologic therapy requiring no/minimal medical supervision (vs. not, 2.21), physician-rated current moderate OA severity (vs. mild, 2.04), patient-reported over-the-counter medication use (vs. not, 0.26); uncertain time since diagnosis was also significant. Patient-reported pain intensity and most demographic factors were not significant in either model.

CONCLUSIONS: Approximately 1 in 4 patients were not prescribed medication and 1 in 7 were self-managed, although many were using over-the-counter medications or nonpharmacologic therapies requiring no/minimal medical supervision. Multiple factors were significantly associated with treatment status, including OA severity and over-the-counter medication, but not pain intensity or most demographics.

PMID:35619074 | DOI:10.1186/s12891-022-05414-6

BMC Geriatr. 2022 May 26;22(1):455. doi: 10.1186/s12877-022-03151-y.

ABSTRACT

BACKGROUND: A large body of evidence supports a link between type 2 diabetes mellitus (T2DM) and cognitive function, including dementia. However, longitudinal studies on the association between T2DM and decline of cognitive function are scarce and reported mixed results, and we hence set out to investigate the cross-sectional and longitudinal association between T2DM and global as well as domain-specific cognitive performance.

METHODS: We used multivariable regression models to assess associations of T2DM with cognitive performance and cognitive decline in a subsample of a population-based prospective cohort study (ESTHER). This subsample (n = 732) was aged 70 years and older and had participated in telephone-based cognitive function assessment (COGTEL) measuring global and domain-specific cognitive performance during the 5- and 8-year follow-up.

RESULTS: Total COGTEL scores of patients with prevalent T2DM were 27.4 ± 8.3 and 29.4 ± 8.7 at the 5- and 8-year measurements, respectively, and were roughly two points lower than those of T2DM-free participants after adjustment for age and sex. In cross-sectional models, after adjustment for several potential confounders, performance in verbal short-term and long-term memory tasks was statistically significantly lower in participants with T2DM, but the association was attenuated after further adjustment for vascular risk factors. The difference in total COGTEL scores reflecting global cognitive function by T2DM status after full adjustment for confounders and vascular risk factors was equivalent to a decrement in global cognitive function associated with a four-year age difference. In longitudinal models, a statistically significantly stronger cognitive decline in patients with T2DM was observed for working memory.

CONCLUSIONS: In this sample of older individuals, T2DM was associated with worse performance and stronger decline in a cognitive function test. Memory-related domains were found to be particularly sensitive to T2DM. Further large-scale prospective studies are needed to clarify potential T2DM-related predictors of cognitive decline and possible consequences on the abilities to perform patient self-management tasks in diabetes care.

PMID:35619073 | DOI:10.1186/s12877-022-03151-y

BMC Public Health. 2022 May 27;22(1):1057. doi: 10.1186/s12889-022-13386-4.

ABSTRACT

BACKGROUND: Impulsivity is a formidable cause of waterpipe tobacco smoking among youth, however, it is understudied among African youth. Using PRIME behavioural theory, this study aimed to develop a model that examines the motivators of impulsivity to smoke waterpipe tobacco in linkage to the moderating role of social media normalisation of waterpipe tobacco, specifically among youth in Nigeria who smoke waterpipe tobacco.

METHODS: Data were drawn from 695 respondents who smoke waterpipe tobacco across six Nigerian universities in the South-West zone using the chain-referral sampling procedure. Descriptive analyses of the obtained data were carried out using the Statistical Package for Social Sciences (SPSS) version 25. The constructs in the developed model were validated through Partial Least Squares Structural Equation Modelling (PLS-SEM) in SmartPLS version 3.

RESULTS: Among Nigerian youth who smoke waterpipe tobacco, intention (β = 0.442, P < 0.001) was the strongest motivator of impulsivity to smoke waterpipe tobacco as compared to positive evaluations (β = 0.302, P < 0.001). In addition, social media normalisation of waterpipe tobacco acted as a moderator that strengthened the relationship between intention and impulsivity (β = 0.287, P < 0.01), as well as, between positive evaluations and impulsivity (β = 0.186, P < 0.01) among youth.

CONCLUSION: Intention greatly instigates Nigerian youth’s impulsivity to smoke waterpipe tobacco, and social media normalisation of waterpipe tobacco also considerably increases their impulsivity to smoke waterpipe tobacco. Youth-focused educational waterpipe tobacco cessation-oriented programmes that utilise diverse constructive-based learning approaches like illustrative learning and counselling, can help to enlighten and encourage Nigerian youth on the importance of shunning the desirability to smoke waterpipe tobacco.

PMID:35619059 | DOI:10.1186/s12889-022-13386-4

BMC Pregnancy Childbirth. 2022 May 26;22(1):442. doi: 10.1186/s12884-022-04741-9.

ABSTRACT

BACKGROUND: Perinatal depression is estimated to affect ~ 12% of pregnancies and is linked to numerous negative outcomes. There is currently no model to predict perinatal depression at multiple time-points during and after pregnancy using variables ascertained early into pregnancy.

METHODS: A prospective cohort design where 858 participants filled in a baseline self-reported survey at week 4-10 of pregnancy (that included social economics, health history, various psychiatric measures), with follow-up until 3 months after delivery. Our primary outcome was an Edinburgh Postnatal Depression Score (EPDS) score of 12 or more (a proxy for perinatal depression) assessed during each trimester and again at two time periods after delivery. Five gradient boosting machines were trained to predict the risk of having EPDS score > = 12 at each of the five follow-up periods. The predictors consisted of 21 variables from 3 validated psychometric scales. As a sensitivity analysis, we also investigated different predictor sets that contained: i) 17 of the 21 variables predictors by only including two of the psychometric scales and ii) including 143 additional social economics and health history predictors, resulting in 164 predictors.

RESULTS: We developed five prognostic models: PND-T1 (trimester 1), PND-T2 (trimester 2), PND-T3 (trimester 3), PND-A1 (after delivery 1) and PND-A2 (delayed onset after delivery) that calculate personalised risks while only requiring that women be asked 21 questions from 3 validated psychometric scales at weeks 4-10 of pregnancy. C-statistics (also known as AUC) ranged between 0.69 (95% CI 0.65-0.73) and 0.77 (95% CI 0.74-0.80). At 50% sensitivity the positive predictive value ranged between 30%-50% across the models, generally identifying groups of patients with double the average risk. Models trained using the 17 predictors and 164 predictors did not improve model performance compared to the models trained using 21 predictors.

CONCLUSIONS: The five models can predict risk of perinatal depression within each trimester and in two post-natal periods using survey responses as early as week 4 of pregnancy with modest performance. The models need to be externally validated and prospectively tested to ensure generalizability to any pregnant patient.

PMID:35619056 | DOI:10.1186/s12884-022-04741-9

Ann N Y Acad Sci. 2022 May 26. doi: 10.1111/nyas.14797. Online ahead of print.

ABSTRACT

Statistical knowledge is a key competency for psychologists in order to correctly interpret assessment outcomes. Importantly, when learning statistics (and its mathematical foundations), self-efficacy (defined as an individual’s belief to successfully accomplish specific performance attainments) is a central predictor of students’ motivation to learn, learning engagement, and actual achievement. Therefore, it is crucial to gain a better understanding of students’ self-efficacy for statistics and its interrelations with statistics anxiety and students’ belief in the relevance of statistics. Here, we present results showing development and validation of a self-assessment questionnaire for examining self-efficacy for statistics in psychology students (Self-Efficacy for Learning Statistics for Psychologists, SES-Psy). Upon using different methodological approaches, we demonstrate that the SES-Psy questionnaire has (1) sound psychometric properties, and within our sample of university students, (2) a robust latent structure disclosing three clearly distinctive profiles that are characterized by a complex and nonlinear interplay between perceived self-efficacy (for basic and advanced statistics), statistics anxiety, and students’ belief in the relevance of statistics. Implications for educational settings and future research are discussed.

PMID:35619040 | DOI:10.1111/nyas.14797

Environ Sci Pollut Res Int. 2022 May 27. doi: 10.1007/s11356-022-20660-w. Online ahead of print.

ABSTRACT

Noise pollution as a result of urbanization and socioeconomic development threatens human health and has become a major environmental problem worldwide, particularly for urban residents. Based on observed equivalent noise data of 113 major Chinese cities, a Bayesian spatiotemporal hierarchy model (BSTHM) was employed to investigate the spatiotemporal characteristics of urban noise pollution in China from 2007 to 2019. Meanwhile, the BART model was adopted to explore the drivers of urban noise pollution. The mean and medium of the equivalent noise of the 113 major cities decreased from 2007 to 2011 but increased from 2011 to 2019; the corresponding annual growth is 0.0793 dB and 0.0947 dB per year. The overall spatial pattern has a certain geographical feature. The cities located in the eastern and north-eastern coastal regions generally have a higher level of noise pollution, and the western and southwestern cities have a lower level. One hundred cities not only have greater noise pollution but also an increasing trend. Although the 52 cities located in Western China have less noise pollution, they have increasing local trends. The results indicate that economic and social factors are the main drivers of noise pollution of China; the explanatory power is 46.2%. Traffic factors are also relatively important drivers, of which bus ridership is the leading one. In terms of the natural environment, climatic factors, including temperature and relative humidity, and presence of green areas containing parkland and general green land are the main determinants.

PMID:35619016 | DOI:10.1007/s11356-022-20660-w

Environ Sci Pollut Res Int. 2022 May 27. doi: 10.1007/s11356-022-20189-y. Online ahead of print.

ABSTRACT

This paper examined the impact of green finance and financial technology on economic growth by utilizing statistics between 1990 to 2000 gathered from 50 US states and regions. A two-step generalized GMM was used to analyze the link between green finance, financial technology, and continued economic growth using panel regression analysis. We found that the US green finance sector had grown significantly and such growth was accompanied by an increase in the usage of non-combustible energy and an advancement in the green finance economic forum. This research concludes that green financing has a beneficial impact on all three components of continued financial development. There is a favorable influence of financial technology on green finance in environmental and economic dimensions, although the link between green banking and investment performance is only somewhat affected by technology. When total emissions increased, non-oil energy usage did not grow and initiatives for renewable energy initiatives were lacking. As a result, there was a decline in the growth of green finance. Green funding and total emissions had a significant impact on the US non-combustible energy usage as did explicit policy changes. The recommendation is also canvassed to strengthen the adoption of green financing policies, increase the use of non-combustible energy, and build an alternative energy economy. It also offers three policy recommendations for policymakers, namely, to improve the integration of banking technology with green finance, develop a corporate environmental approach to manage and control state authorities in increasing green finance productivity, and generate medium- and long-term favorable steps to support green finance in the financial market.

PMID:35619012 | DOI:10.1007/s11356-022-20189-y

Environ Sci Pollut Res Int. 2022 May 26. doi: 10.1007/s11356-022-20918-3. Online ahead of print.

ABSTRACT

The case of a sea breeze where the mean daily PM10 concentration reached the recommended limit value for human health for the period from 2007 to 2009 at the air quality station AMS3 Split-1 in Split, Croatia, is analysed. The Pennsylvania State University/National Center for Atmospheric Research (PSU/NCAR) atmospheric model MM5 and the Hybrid Single-Particle Lagrangian Integrated Trajectory (HYSPLIT) model are used to simulate the lower atmospheric flow and dispersion within 100 km from the coast. The simulation is made with four point sources in the hinterland of Split: Kaštel-Sućurac, Solin and Klis, where the local cement plants are located, and Vranjic, where an asbestos-cement plant is located. Statistical analysis and rotational statistics showed good agreement of the measurement data with the modelled wind speed and direction at 10 m and temperature at 2 m height. The backward trajectories show that the pollutants are caught in the sea breeze circulation from all sources and in the early afternoon the plume is placed over parts of Split from all sources. From the peak concentrations during the selected day, it can be concluded that pollution from Kaštel-Sućurac had the greatest impact on the high PM10 concentrations measured at the Split-1 station.

PMID:35619005 | DOI:10.1007/s11356-022-20918-3