The burden and correlates of multiple cardiometabolic risk factors in a semi-urban population of Nepal: a community-based cross-sectional study

The long-term effects of cardiometabolic risk factors on mortality and life expectancy: evidence from a health check-up cohort study

OBJECTIVE

Cardiometabolic risk factors significantly contribute to disease burden. This study explored the effects of hypertension (HTN), diabetes mellitus (DM), and hyperlipidemia (HLP) on mortality. It stratified findings by age group and comorbidity severity using the Charlson Comorbidity Index (CCI) score. Additionally, it assessed the compounded effects of comorbid conditions to estimate life expectancy (LE) and years of life lost (YLL) in individuals with various cardiometabolic risk factor combinations.

METHODS

Using data from the MJ Health Check-up Database (2002-2017), linked with the National Health Insurance Research Database (2000-2017) and the Death Registry (2002-2019), this study employed Cox proportional hazards models to determine mortality risk associated with various cardiometabolic risk factors. Adjusted Kaplan-Meier curves were constructed to evaluate survival rates across different risk factors and CCI scores. Survival rates were extrapolated to estimate confounder-adjusted LE and YLL for age-comorbidity combinations.

RESULTS

Among the three age groups (20-39, 40-59, 60-79), HLP was the most common single risk factor, followed by HTN. In participants with dual risk factors, HTN and HLP were the most frequent pair, with diabetes and HLP second. An increased number of cardiometabolic risk factors elevated mortality risk, particularly in the 20-39 age group. LE, adjusted for confounders, declined with age, higher CCI scores, and more risk factors. YLL decreased with age but increased with higher CCI scores and more risk factors.

CONCLUSIONS

Promoting health awareness, early disease detection, and timely medical access can reduce cardiometabolic risk factors and associated comorbidities, thereby alleviating disease burden.

Trends and determinants of clustering for non-communicable disease risk factors in women of reproductive age in Nepal

BACKGROUND

Understanding the clustering of two or more risk factors of non-communicable disease, such as smoking, overweight/obesity, and hypertension, among women of reproductive age could facilitate the design and implementation of strategies for prevention and control measures. This study examined the factors associated with smoking, overweight/obesity, and hypertension among Nepalese women of reproductive age (15-49 years).

METHODS

This study used the Nepal Demographic and Health Surveys (NDHS) 2016 (6,079 women for smoking and overweight/obesity, 6076 for hypertension) and 2022 (6,957 women for overweight/obesity and smoking status and 3,749 women for hypertension) for comparison of trends of NCD risk factors among women aged 15-49 years. Additionally, for each participant, risk factors score (range of 0 to 3) was created by summing individual risk factors. We assessed the determinants of risk factor clustering using multivariable Poisson regression models with robust sandwich variance estimator to calculate adjusted prevalence ratios using NDHS 2022.

RESULTS

The national prevalence of overweight/obesity increased from 22.2% in 2016 to 29.2% in 2022 among women of reproductive age. In 2022, the prevalence for smoking, overweight/obesity, and hypertension were 3.8%, 29.2%, and 9.6%, respectively. More than one in four women (28.7%) had one NCD risk factor, while 6.5% had two such risk factors. Higher aged women (40-49 years) were more likely to have multiple NCD risk factors than those aged 15-29 years (APR: 3.19; 95% CI: 2.68-3.80). Those in the richest wealth quintile (APR: 1.52; 95% CI: 1.24-1.85), as well as married (APR: 3.02; 95% CI: 2.43-3.76) and widowed/divorced (APR: 2.85; 95% CI: 2.14-3.80) were more likely to have multiple NCD risk factors. Women from Koshi province (APR: 1.74; 95% CI: 1.41-2.15) had more NCD risk factors than those from the Sudurpaschim province. Working women also had a higher prevalence of NCD risk factors compared to non-working women (APR: 1.23; 95% CI: 1.06-1.43). Additionally, Hill Janajatis (APR: 1.44; 95% CI: 1.21-1.72) and Dalits (APR: 1.42; 95% CI: 1.15-1.75) women were more likely to have NCD risk factors compared to women of Brahmin hill origin.

CONCLUSIONS

Clustering of two or more NCD risk factors was higher among women aged ≥30 years, those who are currently married or widowed/divorced/separated, working women, and individuals from the wealthiest socioeconomic groups. A higher burden of risk factors underscores the importance of targeted public health interventions, particularly among women from advantaged socio-economic groups, those of affluent regions, and in the workplace.

Social determinants of health and cardiometabolic risk factors in Nepal: A scoping review

AIMS

Cardiometabolic risk factors are modifiable contributors to cardiometabolic disease and adverse outcomes. Cardiometabolic risk factors are emerging health concerns among adults in low and middle-income countries. The role of social determinants of health on cardiometa gaps.

DATA SYNTHESIS

A comprehensive search was conducted in multiple databases: PubMed (MEDLINE), Web of Science (Clarivate), and CINAHL (EBSCO). Joanna Briggs Institute's (JBI) Scoping Review methodology and PRISMA extension for scoping reviews-SCRA guided this review. Forty-four cross-sectional studies published between 2010 and 2022 were eligible for this review. Men were more likely to have hypertension, while women were more likely to have obesity and abdominal obesity. Participants from marginalized caste/ethnicity, urban regions, and those with lower education, and greater wealth index had a greater likelihood of hypertension, dyslipidemia, and hyperglycemia; however, differences across these sociodemographic subgroups are narrowing. Smoking, harmful alcohol use, high salt intake, low fruit and vegetable intake, and sedentary lifestyles were associated with one or more cardiometabolic risk factors. Finally, one cardiometabolic risk factor increased the risk of others.

CONCLUSIONS

Findings reflect that Nepal is at the intersection of rapid urbanization, nutritional transition, and socioeconomic shift. Future studies should take a multilevel approach to investigate the role of social determinants in increasing the cardiometabolic risk burden in Nepal.

Analysis of Anti-Arrhythmic Impacts of Crocin through Estimation of Expression of Cx43 in Myocardial Infarction Using a Rat Animal Model

Arrhythmia is an important cause of death after myocardial infarction (MI). Different substances have been evaluated for their anti-arrhythmic effect in MI. This study was performed to evaluate the anti-arrhythmic impacts of crocin in an MI animal model (rat) by estimation of the expression of connexin 43 (Cx43). Fifty male Sprague-Dawley rats were grouped into 5 groups, each composed of 10 rats. The first group was regarded as the normal control group and the second one was considered as the MI group, which was caused by ligation of the left anterior descending artery. The other three groups received crocin 50 or 10 mg/kg/day or metoprolol 100 mg/kg/day for 1 week, following ligation of the left anterior descending artery. Evaluated outcomes were cardiac Cx43 expression, arrhythmia incidence, histological findings, and myocyte resting potential. Crocin-treated MI groups showed a significantly lower arrhythmia score than the non-treated MI group, 10 mg/kg/day (1.85 ± 0.55, p < 0.01) and 50 mg/kg/day (1.70 ± 0.33, p < 0.01). Groups that received crocin 10 mg/kg/day (66.30 ± 2.59, p < 0.01), crocin 50 mg/kg/day (68.10 ± 2.43, p < 0.01), and metoprolol 100 mg/kg/day (-63.54 ± 0.63 mV, p < 0.01) significantly prevented depolarization in comparison with the non-treated MI group. Expression of Cx43 mRNA in crocin 10 mg/kg/day (1.54 ± 0.24, p < 0.01), crocin 50 mg/kg/day (1.73 ± 0.09, p < 0.01), and metoprolol 100 mg/kg/day (1.75 ± 0.14, p < 0.01) treatment groups was significantly higher in comparison with the non-treated MI group. Crocin showed a preventive effect on the arrhythmogenic impact of MI in an experimental model of ischemic injury through an increase in expression of Cx43.

Co-occurrence of non-communicable disease risk factors and its determinants among school-going adolescents of Kathmandu Metropolitan City

Background

Adolescence is a critical transition in human growth and adolescents tend to engage in various risky behaviors which are likely to continue into adulthood. Co-occurrence of non-communicable disease risk factors has the potential to increase risks of chronic disease comorbidity and increased mortality in later life. Behavioral risk factors are adopted due to changes in lifestyle and adolescents are more prone to acquire them. This study aimed to determine the prevalence and associated factors of co-occurrence of non-communicable disease risk factors among school-going adolescents of Kathmandu Metropolitan City.

Methods

We conducted a cross-sectional study among school-going adolescents of Kathmandu Metropolitan City in January/February 2020. We used stratified random sampling to select 1108 adolescents studying in 9, 10, 11, and 12 grades. We used Global Schools Health Survey tools to collect data. We entered data in EpiData 3.1 and exported it into Statistical Package for Social Science (SPSS) version 20 for statistical analysis. We estimated prevalence of NCDs risk factors and co-occurrence of risk factors. We applied multivariate multinomial logistic regression analysis adjusting for age, gender, ethnicity, religion, education, type of school, and parental education to determine factors associated with co-occurrence of NCDs risk factors.

Results

The prevalence of physical inactivity, unhealthy diet, harmful use of alcohol and tobacco among school-going adolescents were 72.3% (95%CI: 69.6–74.9), 41.1% (95%CI: 38.2–44.0), 14.8% (95%CI: 12.8–17.0) and 7.8% (95%CI:6.3–9.5) respectively. The adolescent with co-occurrence of two or more risk factors was 40.7% (95%CI: 37.8–43.7). The school-going adolescents who were in higher age group (AOR = 1.72, 95% CI- 1.06, 2.77), Hindus (AOR = 1.78, 95% CI-1.09, 2.89), other than Brahmin/Chhetri by ethnicity (AOR = 2.11, 95% CI-1.39, 2.22) and with lower education level of mothers (AOR = 2.40, 95% CI- 1.46,3.98) were more likely to have co-occurrence of NCDs risk factors after adjusting for all socio-demographic variables.

Conclusion

The co-occurrence of non-communicable disease risk factors was high among school going adolescents and was associated with age, religion, ethnicity and mother’s education. Integrated and comprehensive interventional programs should be developed by concerned authorities.

CVD Risk Factors in the Ukrainian Roma and Meta-Analysis of Their Prevalence in Roma Populations Worldwide

The Roma population suffers from severe poverty, social exclusion, and some of the worst health conditions in the industrialized world. Herein, we report on cardiovascular disease (CVD) risk factors in the Ukrainian Roma and present a meta-analysis of the prevalence of CVD risk factors in 16 Roma populations worldwide. The meta-analyses of CVD risk factors in Roma (n = 16,552) vs. non-Roma majority population of the same country (n = 127,874) included publicly available data. Ukrainian field survey included 339 adults of both sexes and outcomes of interest were hypertension, body mass index (BMI), smoking, education, and employment status. Furthermore, 35.7% of the Ukrainian Roma were hypertensive, 69.3% unemployed, and 48.4% never went to school. Ukrainian Roma women were more likely to be underweight and more prone to be hypertensive, with odds of hypertension increasing with age, BMI, and positive smoking status. Meta-analyses showed that, in comparison with non-Roma worldwide, the Roma bear significantly higher risk factor loads related to smoking (OR = 2.850), diabetes (OR = 1.433), abdominal obesity (OR = 1.276), and metabolic syndrome (OR = 1.975), with lower loads for hypertension (OR = 0.607) and BMI ≥ 25 kg/m² (OR = 0.872). To conclude, the CVD risk factors which are more common in Roma than in the majority population may reflect their poor health-related behaviors and inadequate access to health education.

Prevalence, awareness, risk factors and control of hypertension in Nepal from 2000 to 2020: A systematic review and meta-analysis

Objective

To analyse published literatures on prevalence, awareness, risk factors and control of hypertension in Nepal.

Methods

We used electronic databases to search relevant articles from January 2000 till October 2020. All relevant data from selected studies were extracted into a standardized form designed in Excel. Statistical analysis was conducted using Comprehensive Meta-Analysis Software (CMA) version 3. Proportions or Odds Ratio (OR) was used to estimate the outcome with 95% confidence interval (CI). The I-squared (I²) test was used for the assessment of heterogeneity.

Results

We identified a total of 3726 studies after comprehensive database searching. We performed qualitative and quantitative analysis of 40 studies. Pooling data showed 28.52% of patients with hypertension (CI: 26.40–30.75); 45.28% (CI: 38.89–51.83) aware of their high blood pressure; 31.66% (CI: 23.18–41.56) under treatment; 44.4% (CI: 36.17–53.04) had their blood pressure under optimum range. 27.4% (CI: 21.57–34.11) had pre-hypertensive range elevated blood pressure. 25.99% (CI: 21.81–30.65) of females and 34.25% (CI: 30.49–38.21) of male were hypertensive (p ​= ​0.007).

The pooling of data showed smokers have 1.43 times (CI: 1.1429–1.7889); and alcohol users have 2.073 times (CI: 1.7154–2.5050) higher risk of having hypertension. Individuals with normal BMI have 53.15% (OR: 0.4685 CI: 0.3543–0.6195); with formal educated have 37.27% (OR: 0.6273, CI: 0.5485–0.7175); and with adequate exercise have 31.6% (OR: 0.6839, CI: 0.5203–0.8991) lower chance of having hypertension.

Conclusion

Our study shows the prevalence of hypertension in Nepal is high. However, awareness, treatment and subsequently control of high blood pressure are found to be alarmingly low. Hypertension was associated with male gender, smoking, alcohol use, high BMI, no education and inadequate exercise. It calls for more attention to address the burden of hypertension and associated risk factors in Nepal.

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We did this systematic review and meta-analysis on prevalence, awareness, risk factors and control of hypertension in Nepal.

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The prevalence of hypertension in Nepal is high.

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Awareness, treatment and subsequently control of high blood pressure are alarmingly low.

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Male, smoker, alcoholics, with high BMI, no education and inadequate exercise were risk factors for hypertension.

Prevalence and determinants of non-communicable disease risk factors among adult population of Kathmandu

BACKGROUND

According to WHO, the deaths due to NCDs in Nepal have soared from 60% of all deaths in 2014 to 66% in 2018. The study assessed the prevalence and determinants of non-communicable disease risk factors among adult population of Kathmandu.

MATERIALS AND METHODS

A community based cross-sectional study was conducted from September 2019 to February 2020 among 18-69 years adults residing in municipalities of Kathmandu district. Multi-stage random sampling technique was used to select 245 subjects who were interviewed using WHO NCD STEPS instrument. Chi-square test and logistic regression analysis were done to explore the determinants of NCD risk factors.

RESULTS

The prevalence of current smoking, alcohol consumption, low intake of fruits and vegetables and low physical activity was found to be 22%, 31%, 93.9% and 10.2% respectively. More than half (52.2%) of the participants were overweight or obese and the prevalence of raised blood pressure was 27.8%. Smoking was associated significantly with male gender (AOR = 2.37, CI: 1.20-5.13) and respondents with no formal schooling (AOR: 4.33, CI: 1.50-12.48). Similarly, the odds of alcohol consumption were higher among male gender (AOR: 2.78, CI: 1.47-5.26), people who were employed (AOR: 2.30, CI: 1.13-4.82), and those who belonged to Chhetri (AOR: 2.83, CI: 1.19-6.72), Janajati (AOR: 6.18, CI: 2.74-13.90), Dalit and Madhesi, (AOR: 7.51, CI: 2.13-26.35) ethnic groups. Furthermore, respondents who were aged 30-44 years (AOR: 5.15, CI: 1.91-13.85) and 45-59 years (AOR: 4.54 CI: 1.63-12.66), who were in marital union (AOR: 3.39, CI: 1.25-9.13), and who belonged to Janajati (AOR: 3.37, CI: 1.61-7.04), Dalit and Madhesi (AOR: 4.62, CI: 1.26-16.86) ethnic groups were more likely to be associated with overweight or obesity. Additionally, the odds of raised blood pressure were higher among people who were of older age (AOR: 6.91, CI: 1.67-28.63) and those who belonged to Janajati ethnic group (AOR: 3.60, CI: 1.46-8.87) after multivariate analysis.

CONCLUSION

The findings of the study highlighted high prevalence of behavioral and metabolic risk factors, which varied on different socio-demographic grounds. Thus, population specific health promotion interventions centered on public health interests is recommended to reduce risk factors of NCDs.

Health System Capacity and Access Barriers to Diagnosis and Treatment of CVD and Diabetes in Nepal

Background:

Universal access to essential medicines and routine diagnostics is required to combat the growing burden of cardiovascular disease (CVD) and diabetes. Evaluating health systems and various access dimensions availability, affordability, accessibility, acceptability, and quality is crucial yet rarely performed, especially in low- and middle-income countries.

Objective:

To evaluate health system capacity and barriers in accessing diagnostics and essential medicines for CVD and diabetes in Nepal.

Methods:

We conducted a WHO/HAI nationally-representative survey in 45 health-facilities (public-sector: 11; private-sector: 34) in Nepal to collect availability and price data for 21 essential medicines for treating CVD and diabetes, during MayJuly 2017. Data for 13 routine diagnostics was obtained in 12 health facilities. Medicines were considered unaffordable if the lowest paid worker spends >1 days wage to purchase a monthly supply. To evaluate accessibility, we conducted facility exit interviews among 636 CVD patients. Accessibility (e.g., private-public health facility mix, travel to hospital/pharmacy) and acceptability (i.e. Nepals adoption of WHO Essential Medicine List, and patient medication adherence) were summarized using descriptive statistics, and we conducted a systematic review of relevant literature. We did not evaluate medicine quality.

Results:

We found that mean availability of generic medicines is low (<50%) in both public and private sectors, and less than one-third medicines met WHOs availability target (80%). Mean (SD) availability of diagnostics was 73.1% (26.8%). Essential medicines appear locally unaffordable. On average, the lowest-paid worker would spend 1.03 (public-sector) and 1.26 (private-sector) days wages to purchase a monthly supply. For a person undergoing CVD secondary preventive-interventions in the private sector, the associated expenditure would be 7.511.2% of monthly household income. Exit-interviews suggest that a long/expensive commute to health-facilities and poor medicine affordability constrain access.

Conclusions:

This study highlights critical gaps in Nepals health system capacity to offer basic health services to CVD and diabetes patients, owing to low availability, poor affordability and accessibility of essential medicines and diagnostics. Research and policy initiatives are needed to ensure uninterrupted supply of affordable essential medicines and diagnostics.

Relationship between cigarette smoking and blood pressure in adults in Nepal: A population-based cross-sectional study

Smoking and hypertension are two major risk factors for cardiovascular disease, the leading cause of death in Nepal. The relationship between cigarette smoking and blood pressure (BP) in Nepal is unclear. This study analysed the data from the 2016 Nepal Demographic and Health Survey to explore the differences in systolic BP (SBP) and diastolic BP (DBP) between current daily cigarette smokers and non-smokers in Nepali adults aged 18 to 49 years. A total of 5518 women and 3420 men with valid BP measurements were included. Age, body mass index, wealth quintile (socio-economic status) and agricultural occupation (proxy for physical activity) were included as potential confounders in multivariable linear regression analysis. Women smokers were found to have significantly lower SBP (mean difference 2.8 mm, 95% CI 0.7-4.8 mm) and DBP (mean difference 2.2 mm, 95% CI 0.9-3.6 mm) than non-smokers after adjustment. There were no significant differences in BP between smokers and non-smokers in males, either before or after adjustment. The lower BP in female cigarette smokers in Nepal may be explained by the physiological effect of daily cigarette smoking per se in women, or unmeasured confounders associated with a traditional lifestyle that may lower BP (for example, diet and physical activity). In this nationally representative survey, daily cigarette smoking was not associated with increased BP in males or females in Nepal.

Burden of Diabetes and Prediabetes in Nepal: A Systematic Review and Meta-Analysis

BACKGROUND

Unhealthy behaviors, such as energy-dense food choices and a sedentary lifestyle, both of which are established risk factors for diabetes, are common and increasing among Nepalese adults. Previous studies have reported a wide variation in the prevalence of prediabetes and diabetes in Nepal, and thus a more reliable pooled estimate is needed. Furthermore, Nepal underwent federalization in 2015, and the province-specific prevalence, which is necessary for the de novo provincial government to formulate local health policies, is lacking. This study aims to provide a comprehensive summary of the current literature on various aspects of diabetes in Nepal, i.e., the prevalence of prediabetes and diabetes as well as of the awareness, treatment, and control of diabetes in Nepal.

METHODS

This review was conducted according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. We searched three electronic databases-PubMed, Scopus, and Web of Science-using a comprehensive search strategy to identify eligible studies published up to April 2, 2020. Data on prevalence estimates of prediabetes and diabetes were extracted and pooled in a meta-analysis using a random effect model. Subgroup analyses and meta-regression were conducted to assess heterogeneity across the studies. The quality of included studies was assessed using the New Castle-Ottawa scale.

RESULTS

We included 14 eligible studies that comprised a total of 44,129 participants and 3517 diabetes cases. Half of the included studies had good quality. Overall, the prevalence of prediabetes and diabetes was 9.2% (95% CI 6.6-12.6%) and 8.5% (95% CI 6.9-10.4%), respectively. Among the participants with diabetes, only 52.7% (95% CI 41.7-63.4%) were aware of their diabetes status, and 45.3% (95% CI 31.6-59.8%) were taking antidiabetic medications. Nearly one-third of those under antidiabetic treatment (36.7%; 95% CI 21.3-53.3%) had their blood glucose under control. The prevalence of prediabetes and diabetes gradually increased with increasing age and was more prevalent among males and urban residents. There was a wide variation in diabetes prevalence across the provinces in Nepal, the lowest 2% in Province 6 to the highest 10% in Province 3 and Province 4.

CONCLUSIONS

The prevalence of prediabetes and diabetes was high in Nepal, while its awareness, treatment, and control were low. Our findings call for urgent nationwide public health action in Nepal.