Does sex modify the effect of pre-pandemic body mass index on the risk of Long COVID? Evidence from the longitudinal analysis of the Survey of Health, Ageing and Retirement in Europe.

BACKGROUND: Research on Long COVID risk factors is ongoing. High body mass index (BMI) may increase Long COVID risk, yet no evidence has been established regarding sex differences in the relationship between BMI and the risk of Long COVID. Investigating the nature of this relationship was the main objective of this study. METHODS: A population-based prospective study involving a sample of respondents aged 50 years and older (n = 4004) from 27 European countries that participated in the 2020 and 2021 Survey of Health, Ageing and Retirement in Europe's (SHARE) Corona Surveys and in Waves 7 and 8 of the main SHARE survey. Logistic regression models were estimated to produce unadjusted and adjusted estimates of the sex differences in the relationship between BMI and Long COVID. RESULTS: Linear relationship for females, with probability of Long COVID increasing with BMI (68% at BMI = 18, 93% at BMI = 45). Non-linear relationship for males, with probability of Long COVID of 27% at BMI = 18, 68% at BMI = 33, and 40% at BMI = 45. Relationships remained significant after adjusting for known Long COVID risk factors (age and COVID-19 hospitalization), presence of chronic diseases, and respondents' place of residence. CONCLUSION: Sex differences appear to play an important role in the relationship between BMI and risk of Long COVID. Overall, females were more likely to have Long COVID, regardless of their BMI. Males at the higher end of the BMI spectrum had a lower risk of Long COVID as opposed to their female counterparts. Sex-specific research is recommended for better understanding of Long COVID risk factors.

Factors affecting quality of life in hepatitis B patients in Herat, Afghanistan: A case-control study.

Hepatitis B virus is a global health concern with a high death rate in Afghanistan. Limited data exist on the disease's impact on quality of life in low-resource settings. This case-control study aims to identify potential risk factors and assess the quality of life among hepatitis B patients in Herat, Afghanistan, with a focus on sex differences. Understanding these factors can inform prevention, care, and sex-specific interventions. A cross-sectional study conducted at Herat Regional Hospital examined hepatitis B patients above 18 years old, between October 2020 and February 2021. The control group consisted of age and sex-matched individuals without a history of hepatitis B. Data were collected through a structured questionnaire covering socio-demographic characteristics, signs and symptoms of hepatitis B, and the SF-36 questionnaire for measuring the quality of life of study participants. Statistical analysis was performed using multivariate General Linear Models, and logistic regression. We identified several potential risk factors for hepatitis B infection, including male sex, younger age groups, tobacco use, lower education levels, rural residence, family history, weak social networks, specific family structures and underlying chronic diseases (p < .05). The study found that hepatitis B cases had significantly lower mean scores across all SF-36 components, indicating an overall reduced quality of life (p < .05). These differences were more pronounced in males, although females had lower scores in most components. Role limitations due to physical and emotional health were particularly affected. These findings highlight the urgent need for targeted interventions, sex-specific strategies, improved healthcare access and comprehensive policies. These findings can inform prevention efforts to improve the overall quality of life of people with hepatitis B in Afghanistan.

Relationship between multimorbidity, functional limitation, and quality of life among middle-aged and older adults: findings from the longitudinal analysis of the 2013-2020 Survey of Health, Ageing, and Retirement in Europe (SHARE).

PURPOSE: The increased burden of multimorbidity is restricting individuals' ability to live autonomously, leading to a poorer quality of life. This study estimated trajectories of functional limitation and quality of life among middle-aged (ages 50 to 64 years) and older (aged 65 years and older) individuals with and without multimorbidity. We also assessed differences in the relationship between these two trajectories by multimorbidity status and separately for each age cohort. METHODS: Data originated from the Survey of Health, Ageing, and Retirement in Europe (SHARE). In Luxembourg, data were obtained between 2013 and 2020, involving 1,585 respondents ≥ 50 years of age. Multimorbidity was defined as a self-reported diagnosis of two or more out of 16 chronic conditions; functional limitation was assessed by a combined (Instrumental) Activities of Daily Living (ADL/IADLI) scale; and to measure quality of life, we used the Control, Autonomy, Self-Realization, and Pleasure (CASP-12) scale. Latent growth curve modelling techniques were used to conduct the analysis where repeated measures of quality of life and functional limitation were treated as continuous and zero-inflated count variables, respectively. The model was assessed separately in each age cohort, controlling for the baseline covariates, and the estimates from the two cohorts were presented as components of a synthetic cohort covering the life course from the age of 50. RESULTS: Middle-aged and older adults living with multimorbidity experienced poorer quality of life throughout the life course and were at a higher risk of functional limitation than those without multimorbidity. At baseline, functional limitation had a negative impact on quality of life. Furthermore, among middle-aged adults without multimorbidity and older adults with multimorbidity, an increase in the number of functional limitations led to a decline in quality of life. These results imply that the impact of multimorbidity on functional limitation and quality of life may vary across the life course. CONCLUSION: Using novel methodological techniques, this study contributes to a better understanding of the longitudinal relationship between functional limitation and quality of life among individuals with and without multimorbidity and how this relationship changes across the life course. Our findings suggest that lowering the risk of having multimorbidity can decrease functional limitation and increase quality of life.

Rural-Urban Divide in the Prevalence and Correlates of Overweight and Obesity Among Women of Reproductive Age in Nigeria: A Multilevel Analysis of Repeated Cross-Sectional Data.

We examined rural and urban prevalence and correlates of overweight/obesity among women of reproductive age using survey data from Nigeria. Overweight and obesity prevalence increased from 16.1% and 6.1% in 2008 to 18.2% and 10.0% in 2018, while underweight prevalence consistently averaged at 12%. Regardless of the residential setting, age, marital status, education, occupation, wealth, and year were associated with higher risk of overweight/obesity, whereas breastfeeding showed a protective effect. Unique risk factors for overweight/obesity in urban areas were higher parity and female-headed households, while ethnicity, media exposure, and state of residence were unique risk factors in rural areas.

Glucagon-like peptide 1 receptor agonists in end-staged kidney disease and kidney transplantation: A narrative review.

AIMS: Glucagon-like peptide 1 receptor agonists (GLP-1RA) improve glycemic control and promote weight loss in type 2 diabetes (DM2) and obesity. We identified studies describing the metabolic benefits of GLP-1RA in end-staged kidney disease (ESKD) and kidney transplantation. DATA SYNTHESIS: We searched for randomized controlled trials (RCTs) and observational studies that investigated the metabolic benefits of GLP-1RA in ESKD and kidney transplantation. We summarized the effect of GLP-1RA on measures of obesity and glycemic control, examined adverse events, and explored adherence with therapy. In small RCTs of patients with DM2 on dialysis, liraglutide for up to 12 weeks lowered HbA1c by 0.8%, reduced time in hyperglycemia by ∼2%, lowered blood glucose by 2 mmol/L and reduced weight by 1-2 kg, compared with placebo. In prospective studies inclusive of ESKD, 12 months of semaglutide reduced HbA1c by 0.8%, and contributed to weight losses of 8 kg. In retrospective cohort studies in DM2 and kidney transplantation, 12 months of GLP-1RA lowered HbA1c by 2%, and fasting glucose by ∼3 mmol/L compared with non-use, and in some reports, weight losses of up to 4 kg were described. Gastrointestinal (GI) side effects were most commonly reported, with hypoglycemia described with GLP-1RA in hemodialysis, particularly in those using insulin. CONCLUSIONS: GLP-1RA are growing in popularity in those with DM2 and obesity. In small RCTs and observational cohort studies modest glycemic and weight benefits have been described in ESKD and transplantation, but GI side effects may limit adherence. Larger and longer term studies of GLP-1RA remain important.

Do dietary practices and household environmental quality mediate socio-economic inequalities in child undernutrition risk in West Africa?

OBJECTIVE: We investigated the relationship between socio-economic status and child undernutrition in West Africa (WA), and further examined the mediating role of dietary practices (measured as minimum dietary diversity (MDD), minimum meal frequency (MMF) and minimum acceptable diet (MAD)) and household environmental quality (HEQ) in the observed relationship. DESIGN: Thirteen countries were included in the study. We leveraged the most recent Demographic and Health Surveys datasets ranging from 2010 to 2019. Poisson regression model with robust standard errors was used to estimate prevalence ratios and their corresponding 95 % CI. Structural equation modelling was used to conduct the mediation analysis. SETTING: West Africa. PARTICIPANTS: 132 448 under-five children born within 5 years preceding the survey were included. RESULTS: Overall, 32·5 %, 8·2 %, 20·1 % and 71·7 % of WA children were stunted, wasted, underweight and anaemic, respectively. Prevalence of undernutrition decreased with increasing maternal education and household wealth (Trend P-values < 0·001). Secondary or higher maternal education and residence in rich households were associated with statistically significant decrease in the prevalence of stunting, wasting, underweight and anaemia among children in WA. MAD was found to mediate the association of low maternal education and poor household wealth with childhood stunting and underweight by 35·9 % to 44·5 %. MDD, MMF and HEQ did not mediate the observed relationship. CONCLUSIONS: The study findings enables an evaluation and improvement of existing intervention strategies through a socio-economic lens to help address the high burden of child undernutrition in WA and other developing regions.

Residential greenness and substance use among youth and young adults: Associations with alcohol, tobacco, and marijuana use.

INTRODUCTION: Research has identified positive associations between green space and physical and mental health outcomes. Substance use outcomes, however, have received considerably less attention. This study investigates the association between residential greenness and substance use through an analysis of alcohol, tobacco, and marijuana use among youth and young adults. METHODS: This study utilized three waves (2016-2018) of the Canadian Community Health Survey (CCHS), as well as residential greenness data from the Canadian Urban Environmental Health Consortium (CANUE). Multinomial logistic regression was used to explore variation in the pattern of substance use between greenness quartiles. The sample included 14,070 youth and young adults (15-25 years). RESULTS: Residential greenness was not associated with alcohol use in general but was associated with lower odds of frequent binge drinking. Residential greenness was also associated with lower odds of tobacco use and greater odds of marijuana use. CONCLUSION: This study provides evidence that residential greenness is associated with patterns of substance use. The strength and direction of association, however, is highly contingent upon the substance under investigation. Living in greener neighborhoods may confer certain benefits to substance use and abuse among youth and young adults.

Examining the prevalence and correlates of multimorbidity among community-dwelling older adults: cross-sectional evidence from the Canadian Longitudinal Study on Aging (CLSA) first-follow-up data.

INTRODUCTION: multimorbidity has become an increasingly important issue for many populations around the world, including Canada. The objectives of this study were to estimate the prevalence of multimorbidity at first follow-up and to identify factors associated with multimorbidity using data from the Canadian Longitudinal Study on Aging (CLSA). METHODS: this study included 27,701 community-dwelling participants in the first follow-up of the CLSA. Multimorbidity was operationalised using two definitions (Public Health and Primary Care), as well as the cut-points of two or more chronic conditions (MM2+) and three or more chronic conditions (MM3+). The prevalence of multimorbidity was calculated at first follow-up and multivariable regression models were used to identify correlates of multimorbidity occurrence. RESULTS: the prevalence of multimorbidity at first follow-up was 32.3% among males and 39.3% among females when using the MM2+ Public Health definition, whereas the prevalence was 67.2% among males and 75.8% among females when using the MM2+ Primary Care definition. Older age, lower alcohol consumption, lower physical activity levels, dissatisfaction with sleep quality, dissatisfaction with life and experiencing social limitations due to health conditions were significantly associated with increased odds of multimorbidity for both males and females, regardless of the definition of multimorbidity used. CONCLUSION: various sociodemographic, behavioural and psychosocial factors are associated with multimorbidity. Future research should continue to examine how the prevalence of multimorbidity changes with time and how these changes may be related to specific risk factors. This future research should be supplemented with studies examining the longitudinal impacts of multimorbidity over time.

Secular trends of ischaemic heart disease, stroke, and dementia in high-income countries from 1990 to 2017: the Global Burden of Disease Study 2017.

BACKGROUND: We assessed secular trends in the burden of ischaemic heart disease (IHD), stroke, and dementia in the Organization for Economic Co-operation and Development (OECD) countries. METHODS: Using the Global Burden of Disease (GBD) Study 2017, we compared sex-specific and age-standardized rates of disability-adjusted life years (DALY); mortality, incidence, and prevalence of IHD and stroke; and dementia per 100,000 people, in the world, OECD countries, and Canada. RESULTS: From 1990 to 2017, the crude incidence number of IHD, stroke, and dementia increased 52%, 76%, and 113%, respectively. Likewise, the prevalence of IHD (75%), stroke (95%), and dementia (119%) increased worldwide. In addition during the study period, the crude global number of deaths of IHD increased 52%, stroke by 41%, and dementia by 146% (9, 6, and 3 million deaths in 2017, respectively). Despite an increase in the crude number of these diseases, the global age-standardized incidence rate of IHD, stroke, and dementia decreased by -27%, - 11%, and - 5%, respectively. Moreover, there was a decline in their age-standardized DALY rates (- 1.17%, - 1.32%, and - 0.23% per year, respectively) and death rates (- 1.29%, - 1.46%, and - 0.17% per year, respectively), with sharper downward trends in Canada and OECD countries. Almost all trends flattened during the last decade. CONCLUSIONS: From 1990 to 2017, the age-standardized burden of IHD, stroke, and dementia decreased, more prominently in OECD countries than the world. However, their rising crude numbers mainly due to population growth and ageing require urgent identification of reversible risk and protective factors.

Examining Variations in the Prevalence of Diagnosed Mood or Anxiety Disorders Among Migrant Groups in Ontario, 1995-2015: A Population-Based, Repeated Cross-Sectional Study.

BACKGROUND: International evidence on the frequency of mood or anxiety disorders among migrant groups is highly variable, as it is dependent on the time since migration and the socio-political context of the host country. Our objective was to estimate trends in the prevalence of diagnosed mood or anxiety disorders among recent (<5 years in Canada) and settled (5-10 years in Canada) migrant groups, relative to the general population of Ontario, Canada. METHODS: We used a repeated cross-sectional design consisting of four cross-sections spanning 5 years each, constructed using health administrative databases from 1995 to 2015. We included all Ontario residents between the ages of 16 and 64 years. We assessed differences in the prevalence of mood or anxiety disorders adjusting for age, sex, and neighbourhood-level income. We further evaluated the impact of migrant class and region of birth. RESULTS: The prevalence of mood or anxiety disorders was lower among recent (weighted mean = 4.10%; 95% confidence interval [CI], 3.59% to 4.60%) and settled (weighted mean = 4.77%; 95% CI, 3.94% to 5.61%) migrant groups, relative to the general population (weighted mean = 7.39%; 95% CI, 6.83% to 7.94%). Prevalence estimates varied greatly by region of birth and migrant class. We found variation in prevalence estimates over time, with refugee groups having the largest increases between 1995 and 2015. CONCLUSIONS: Our findings highlight the complexity of mood and anxiety disorders among migrant groups, and that not all groups share the same risk profile. These results can be used to help inform health service allocation and the development of supportive programs for specific migrant groups.

Secular trends in low birth weight and child undernutrition in West Africa: evidence from complex nationwide surveys, 1985-2019.

OBJECTIVE: We present prevalence estimates and secular trends of stunting, wasting, underweight, and anaemia among children under 5 years of age and low birth weight (LBW) over the period 1985-2019 in West Africa (WA). DESIGN: Analysis of Demographic and Health Survey (DHS) and World Bank data. DerSimonian-Laird random effect model with the Knapp-Hartung adjustment to the standard error was used to derive overall prevalence estimates. We used fixed effect ordinary least square regression models with cluster robust standard error to conduct time trends analyses. SETTING: West Africa. PARTICIPANTS: Children aged 0 to 59 months. RESULTS: Three distinct periods (1986-1990, 1993-1996 and 1997-2000) of sharp increases in prevalence of all outcomes was observed. After the year 2000, prevalence of all outcomes except LBW started to decline with some fluctuations. LBW prevalence showed a steady increase after 2000. We observed a decline in prevalence of stunting (ß = -0·20 %; 95 % CI -0·43 %, 0·03 %), log-wasting (ß = -0·02 %; 95 % CI -0·02 %, -0·01 %), log-underweight (ß = -0·02 %; 95 % CI -0·03 %, -0·01 %) anaemia (ß = -0·44; 95 % CI -0·55 %, -0·34 %), and an increase in LBW (ß = 0·06 %; 95 % CI -0·10 %, 0·22 %) in WA over the period. Pooled prevalence of stunting, wasting, underweight, anaemia and LBW in WA for the period 1985-2019 was 26·1 %, 16·4 %, 22·7 %, 76·2 % and 11·3 %, respectively. CONCLUSIONS: Child undernutrition prevalence varied greatly between countries and the year cohorts. We observed marginal reductions in prevalence of all outcomes except anaemia where the reductions were quite striking and LBW where an increase was noted. There is the need for more rigorous and sustained targeted interventions in WA.

The prevalence of physical multimorbidity among people with non-affective psychotic disorders 10 years after first diagnosis: a matched retrospective cohort study.

AIMS: The higher prevalence of chronic physical health conditions among people with psychotic disorders may result in a reduced life expectancy as compared to the general population. More research is needed on the risk of multiple co-occurring chronic health conditions, known as multimorbidity, for people with psychotic disorders. METHODS: We conducted a matched retrospective cohort study to quantify the prevalence of multimorbidity and associated factors among people with psychotic disorders over the 10-year period following first diagnosis, relative to those without psychosis. Data from an early psychosis intervention program in London, Canada were linked to population-based health administrative data to identify patients with first-episode psychosis (n = 439), and a comparison group from the general population (n = 1759) matched on age, sex, and postal code. We followed the cohort for 10 years to ascertain the prevalence of multimorbidity. We compared people with and without psychosis using modified Poisson regression models, and explored risk factors for multimorbidity among those with psychotic disorders. RESULTS: People with psychotic disorders may have a 26% higher prevalence of multimorbidity 10 years following first diagnosis, although our findings include the possibility of a null effect (PR = 1.26, 95% CI 0.96-1.66). People with psychosis living in areas with the highest levels of material deprivation had a threefold higher prevalence of multimorbidity as compared to those in the lowest areas of material deprivation (PR = 3.09, 95% CI 1.21-7.90). CONCLUSION: Multimorbidity is prevalent among those with psychosis, and assessment for chronic health conditions should be integrated into clinical care for younger populations with psychotic illness.

Associations between Major Health Behaviors and Sleep Problems: Results from the 2015, 2016, 2017 Canadian Community Health Survey.

BACKGROUND AND OBJECTIVES: Key health behaviors including cigarette smoking, alcohol consumption, fruit and vegetable (FV) consumption, and physical activity have been associated with sleep-related problems. This cross-sectional study describes sleep quality and duration by gender in a large adult population and examines whether health behavioral factors are associated with short/long sleep duration and sleep problems (difficulty initiating/maintaining sleep [DIMS], daytime sleepiness, and finding sleep refreshing). METHODS: Using Canadian Community Health Survey data from cycles 2015, 2016, and 2017, binary and multinomial logistic regression models were computed. RESULTS: Of the 44,911 respondents included, only half of respondents met the recommended sleep duration. Fifty-five percent of females and forty-one percent of males reported DIMS. Binge drinking was associated with increased DIMS, with the strongest relationship being among females reporting weekly binge drinking (odds ratio (OR) 2.03 [1.59,2.60]). Binge drinking was also associated with decreased odds of finding sleep refreshing among females only (OR 0.73 [0.56,0.96] in weekly binge drinkers). Compared to respondents who had never smoked, daily smokers had higher odds of short sleep (OR 1.50 [1.30,1.74] and OR 1.39 [1.21,1.60]; females and males, respectively). Similarly, former smokers had higher odds of DIMS (OR 1.18 [1.06,1.31]) and not finding sleep refreshing (OR 0.85 [0.77,0.95]), among females; similar OR among males. Increased FV consumption was associated with increased odds of finding sleep refreshing (OR 1.05 [1.03,1.07] and OR 1.06 [1.04,1.08] in females and males, respectively). CONCLUSION: There is a high prevalence of sleep problems among Canadians. Potential gender differences in the relationships between health behaviors and sleep problems warrant further research.

Small steps, strong shield: directly measured, moderate physical activity in 65 361 adults is associated with significant protective effects from severe COVID-19 outcomes.

OBJECTIVE: To determine the association between directly measured physical activity and hospitalisation, intensive care unit (ICU) admission, ventilation and mortality rates in patients with a confirmed diagnosis of COVID-19. METHODS: Directly measured physical activity data from 65 361 adult patients with a COVID-19 diagnosis from 19 March 2020 to 30 June 2021, were grouped by activity level: low (<60 min/week), moderate (60-149 min/week) and high activity (≥150 min/week). The association of physical activity levels and the risk of adverse outcomes was analysed using modified Poisson regression. We accounted for demographics and comorbidities including conditions known to influence COVID-19 outcomes, as well as patient complexity as measured by the Johns Hopkins Adjusted Clinical Group system. The regression approach was further validated with a Bayesian network model built off a directed acyclic graph. RESULTS: High physical activity was associated with lower rates of hospitalisation (risk ratio, RR 0.66, 95% CI 0.63 to 0.70), ICU admission (RR 0.59, 95% CI 0.52 to 0.66), ventilation (RR 0.55, 95% CI 0.47 to 0.64) and death (RR 0.58, 95% CI 0.50 to 0.68) due to COVID-19 than those who engaged in low physical activity. Moderate physical activity also was associated with lower rates of hospitalisation (RR 0.87, 95% CI 0.82 to 0.91), admission to ICU (RR 0.80, 95% CI 0.71 to 0.89), ventilation (RR 0.73, 95% CI 0.62 to 0.84) and death (RR 0.79, 95% CI 0.69 to 0.91). CONCLUSIONS: Adults with high and moderate physical activity levels had significantly better outcomes than those with low activity when contracting COVID-19. The apparent protective effects of regular physical activity extended to those with concomitant chronic medical conditions.

Body mass index, waist circumference, waist-to-hip ratio, and body fat in relation to health care use in the Canadian Longitudinal Study on Aging.

BACKGROUND/OBJECTIVES: Obesity is associated with increased health care use (HCU), but it is unclear whether this is consistent across all measures of adiposity. The objectives were to compare obesity defined by body mass index (BMI), waist circumference (WC), waist-to-hip ratio (WHR), and percent body fat (%BF), and to estimate their associations with HCU. SUBJECTS/METHODS: Baseline data from 30,092 participants aged 45-85 years from the Canadian Longitudinal Study on Aging were included. Measures of adiposity were recorded by trained staff and obesity was defined as BMI ≥ 30.0 kg/m2 for all participants and WC ≥ 88 cm and ≥102 cm, WHR ≥ 0.85 and ≥0.90, and %BF > 35% and >25% (measured using dual energy x-ray absorptiometry) for females and males, respectively. Self-reported HCU in the past 12 months was collected for any contact with a general practitioner, specialist, emergency department, and hospitalization. Pearson correlation coefficients (r) compared each measure to %BF-defined obesity, the reference standard. Relative risks (RR) and risk differences (RD) adjusted for age, sex, education, income, urban/rural, marital status, smoking status, and alcohol use were calculated, and results were age- and sex-stratified. RESULTS: Obesity prevalence varied by measure: BMI (29%), WC (42%), WHR (62%), and %BF (73%). BMI and WC were highly correlated with %BF (r ≥ 0.70), while WHR demonstrated a weaker relationship with %BF, with differences by sex (r = 0.29 and r = 0.46 in females and males, respectively). There were significantly increased RR and RD for all measures and health care services, for example, WC-defined obesity was associated with an increased risk of hospitalization (RR: 1.40, 95% CI: 1.28-1.54 and RD per 100: 2.6, 95% CI:1.9-3.3). Age-stratified results revealed that older adult groups with obesity demonstrated weak or no associations with HCU. CONCLUSIONS: All measures of adiposity were positively associated with increased HCU although obesity may not be a strong predictor of HCU in older adults.

Clustering of obesity-related characteristics: A latent class analysis from the Canadian Longitudinal Study on Aging.

Measures of obesity, including body mass index (BMI) and waist circumference (WC), do not fully capture the complexity of obesity-related health risks. This study identified distinct classes of obesity-related characteristics and evaluated their associations with BMI, WC, and percent body fat (%BF) using cross-sectional data from 30,096 participants aged 45-85 in the Canadian Longitudinal Study on Aging (2011-2015). Sixteen obesity-related variables, including behavioural, metabolic, physical health, and mental health/social factors, were included in a latent class analysis to identify distinct classes of participants. Adjusted odds ratios (OR) were estimated from logistic regression for associations between each class and obesity defined by BMI, WC and %BF. Six latent classes were identified: "low-risk" (39.8%), "cardiovascular risk" (19.4%), "metabolic risk" (16.9%), "sleep and mental health risk" (12.1%), "multiple and complex risk" (6.7%), and "cardiometabolic risk" (5.1%). Compared to "low-risk", all classes had increased odds of BMI-, WC- and %BF-defined obesity. For example, the "complex and multiple risk" class was associated with obesity by BMI (OR: 10.70, 95% confidence interval (CI): 9.51, 12.04), WC (OR: 9.21, 95% CI: 8,15, 10,41) and %BF (OR: 7.54, 95% CI: 6.21, 9.16). Distinct classes of obesity-related characteristics were identified and were strongly associated with obesity defined by multiple measures.

Vegan dietary pattern for the primary and secondary prevention of cardiovascular diseases.

BACKGROUND: Diet plays a major role in the aetiology of cardiovascular disease (CVD) and as a modifiable risk factor is the focus of many prevention strategies. Recently vegan diets have gained popularity and there is a need to synthesise existing clinical trial evidence for their potential in CVD prevention. OBJECTIVES: To determine the effectiveness of following a vegan dietary pattern for the primary and secondary prevention of CVD. SEARCH METHODS: We searched the following electronic databases on 4 February 2020: the Cochrane Central Register of Controlled Trials (CENTRAL), MEDLINE, Embase and Web of Science Core Collection. We also searched ClinicalTrials.gov in January 2021. We applied no language restrictions. SELECTION CRITERIA: We selected randomised controlled trials (RCTs) in healthy adults and adults at high risk of CVD (primary prevention) and those with established CVD (secondary prevention). A vegan dietary pattern excludes meat, fish, eggs, dairy and honey; the intervention could be dietary advice, provision of relevant foods, or both. The comparison group received either no intervention, minimal intervention, or another dietary intervention. Outcomes included clinical events and CVD risk factors. We included only studies with follow-up periods of 12 weeks or more, defined as the intervention period plus post-intervention follow-up. DATA COLLECTION AND ANALYSIS: Two review authors independently assessed studies for inclusion, extracted data and assessed risks of bias. We used GRADE to assess the certainty of the evidence. We conducted three main comparisons: 1. Vegan dietary intervention versus no intervention or minimal intervention for primary prevention; 2. Vegan dietary intervention versus another dietary intervention for primary prevention; 3. Vegan dietary intervention versus another dietary intervention for secondary prevention. MAIN RESULTS: Thirteen RCTs (38 papers, 7 trial registrations) and eight ongoing trials met our inclusion criteria. Most trials contributed to primary prevention: comparisons 1 (four trials, 466 participants randomised) and comparison 2 (eight trials, 409 participants randomised). We included only one secondary prevention trial for comparison 3 (63 participants randomised). None of the trials reported on clinical endpoints. Other primary outcomes included lipid levels and blood pressure. For comparison 1 there was moderate-certainty evidence from four trials with 449 participants that a vegan diet probably led to a small reduction in total cholesterol (mean difference (MD) -0.24 mmol/L, 95% confidence interval (CI) -0.36 to -0.12) and low-density lipoprotein (LDL) cholesterol (MD -0.22 mmol/L, 95% CI -0.32 to -0.11), a very small decrease in high-density lipoprotein (HDL) levels (MD -0.08 mmol/L, 95% CI -0.11 to -0.04) and a very small increase in triglyceride levels (MD 0.11 mmol/L, 95% CI 0.01 to 0.21). The very small changes in HDL and triglyceride levels are in the opposite direction to that expected. There was a lack of evidence for an effect with the vegan dietary intervention on systolic blood pressure (MD 0.94 mmHg, 95% CI -1.18 to 3.06; 3 trials, 374 participants) and diastolic blood pressure (MD -0.27 mmHg, 95% CI -1.67 to 1.12; 3 trials, 372 participants) (low-certainty evidence). For comparison 2 there was a lack of evidence for an effect of the vegan dietary intervention on total cholesterol levels (MD -0.04 mmol/L, 95% CI -0.28 to 0.20; 4 trials, 163 participants; low-certainty evidence). There was probably little or no effect of the vegan dietary intervention on LDL (MD -0.05 mmol/L, 95% CI -0.21 to 0.11; 4 trials, 244 participants) or HDL cholesterol levels (MD -0.01 mmol/L, 95% CI -0.08 to 0.05; 5 trials, 256 participants) or triglycerides (MD 0.21 mmol/L, 95% CI -0.07 to 0.49; 5 trials, 256 participants) compared to other dietary interventions (moderate-certainty evidence). We are very uncertain about any effect of the vegan dietary intervention on systolic blood pressure (MD 0.02 mmHg, 95% CI -3.59 to 3.62)  or diastolic blood pressure (MD 0.63 mmHg, 95% CI -1.54 to 2.80; 5 trials, 247 participants (very low-certainty evidence)). Only one trial (63 participants) contributed to comparison 3, where there was a lack of evidence for an effect of the vegan dietary intervention on lipid levels or blood pressure compared to other dietary interventions (low- or very low-certainty evidence). Four trials reported on adverse events, which were absent or minor. AUTHORS' CONCLUSIONS: Studies were generally small with few participants contributing to each comparison group. None of the included studies report on CVD clinical events. There is currently insufficient information to draw conclusions about the effects of vegan dietary interventions on CVD risk factors. The eight ongoing studies identified will add to the evidence base, with all eight reporting on primary prevention. There is a paucity of evidence for secondary prevention.

Regular physical activity postpones age of occurrence of first-ever stroke and improves long-term outcomes.

OBJECTIVE: Few data are available on the associations between the level of pre-stroke physical activity and long-term outcomes in patients with stroke. This study is designed to assess the associations between pre-stroke physical activity and age of first-ever stroke occurrence and long-term outcomes. METHODS: Six hundred twenty-four cases with first-ever stroke were recruited from the Mashhad Stroke Incidence Study a prospective population-based cohort in Iran. Data on Physical Activity Level (PAL) were collected retrospectively and were available in 395 cases. According to the PAL values, subjects were classified as inactive (PAL < 1.70) and active (PAL ≥ 1.70). Age at onset of stroke was compared between active and inactive groups. Using logistic model, we assessed association between pre-stroke physical activity and long-term (5-year) mortality, recurrence, disability, and functional dependency rates. We used multiple imputation to analyze missing data. RESULTS: Inactive patients (PAL < 1.70) were more than 6 years younger at their age of first-ever-stroke occurrence (60.7 ± 15.5) than active patients (67.0 ± 13.2; p < 0.001). Patients with PAL< 1.7 also had a greater risk of mortality at 1 year [adjusted odds ratio (aOR) = 2.31; 95%CI: 1.14-4.67, p = 0.02] and 5 years after stroke (aOR = 1.81; 95%CI: 1.05-3.14, p = 0.03) than patients who were more physically active. Recurrence rate, disability, and functional dependency were not statistically different between two groups. Missing data analysis also showed a higher odds of death at one and 5 years for inactive patients. CONCLUSIONS: In our cohort, we observed a younger age of stroke and a higher odds of 1- and 5-year mortality among those with less physical activity. This is an important health promotion strategy to encourage people to remain physically active.

A comparison of COVID-19 epidemiological indicators in Sweden, Norway, Denmark, and Finland.

Aims: To compare the early impact of COVID-19 infections and mortality from February to July 2020 across the Nordic nations of Sweden, Norway, Denmark, and Finland through available public data sources and conduct a descriptive analysis of the potential factors that drove different epidemiological outcomes, with a focus on Sweden's response. Methods: COVID-19 cases, deaths, tests, case age distribution, and the difference between 2020 all-cause mortality and the average mortality of the previous 5 years were compared across nations. Patterns in cell phone mobility data, testing strategies, and seniors' care home deaths were also compared. Data for each nation were based on publicly available sources as of July 31, 2020. Results: Compared with its Nordic peers, Sweden had a higher incidence rate across all ages, a higher COVID-19-related death rate only partially explained by population demographics, a higher death rate in seniors' care, and higher all-cause mortality. Sweden had approximately half as much mobility change as its Nordic neighbours until April and followed similar rates as its neighbours from April to July. Denmark led its Nordic peers in testing rates, while Sweden had the highest cumulative test-positivity rate continuously from mid-March. Conclusions: COVID-19 pushed Sweden's health system to its capacity, exposed systemic weaknesses in the seniors' care system, and revealed challenges with implementing effective contact tracing and testing strategies while experiencing a high case burden. Looser government restrictions at the beginning of the outbreak are likely to have played a role in the impact of COVID-19 in Sweden. In an effort to improve epidemic control, Sweden has increased testing rates, implemented more restrictive prevention measures, and increased their intensive care unit bed capacity.

Cooking with shea butter is associated with lower blood pressure in the Ghanaian population.

The cardiovascular health benefits of shea butter, an edible off-white or ivory-colored fat native to West Africans has never been investigated. This is in spite of anecdotal evidence, which suggests that shea butter may have medicinal properties and its bioactive constituents lower certain cardiovascular risk markers. We hypothesized that cooking with shea butter would be associated with lower blood pressure (BP) in the Ghanaian population. Data from the 2014 Ghana Demographic and Health Survey, a nationally representative population-based survey was analyzed. A total of 9396 women aged 15-49 years and 4388 men aged 15-59 years selected from 12,831 sampled households were included in the study. Respondents with average systolic BP of ≥140 mmHg or average diastolic BP of ≥90 mmHg were classified as hypertensive. Multivariable linear and logistic regression adjusting for gender, age, area of residence, religion, ethnic group, marital status, education and wealth index was used to establish the association between shea butter consumption and BP. Overall prevalence of hypertension in the population was 15.1%. Shea butter consumption was associated with 2.43 mmHg (95% CI: -3.54, -1.31) and 1.78 mmHg (95% CI: -2.71, -0.86) decrease in systolic BP and diastolic BP, respectively, and 25% (AOR = 0.75, 95% CI: 0.55, 1.04) reduced odds of hypertension, compared to use of vegetable oils. Region of residence appeared to modify the relationship. We found an association of shea butter consumption with lower BP, which provides the rationale for investigation through rigorous study designs to evaluate the benefits of shea butter consumption for prevention of hypertension and improved cardiovascular health.