Cardiovascular diseases and sleep disorders in South Asians: A scoping review

Case report of a female western Indian vegetarian with obesity

Background

South Asians are defined as those indigenous to the Indian subcontinent - India, Pakistan, Sri Lanka, Nepal, Maldives, Bhutan, and Bangladesh. This ethnic group is a unique population with increased prevalence of metabolic syndrome even at a lower body mass index (BMI). Should they also have increased BMI, the risk for development of diabetes mellitus and cardiovascular complications are further magnified. Strong cultural perceptions about ideal body weight, lack of awareness about the race and ethnicity-specific risks, and knowledge gaps regarding different dietary patterns among the healthcare providers confound further the metabolic issues pertinent to South Asians living in North America.

Methods

In this case study of a South Asian patient, we present asynchronous co-management of obesity by an obesity specialist and the primary care provider in a university-based clinic.

Results

Intense lifestyle interventions including a custom-tailored Indian vegetarian meal plan and weekly injectable Semaglutide was offered to the patient as treatment plan. The patient lost 59 pounds, and BMI changed from 34.1 kg/m2 to 23.5 kg/m2.

Conclusion

Intensive lifestyle interventions with custom-tailored dietary changes, regular physical activity and behavior modifications combined with appropriate pharmacotherapy can be very successful in the management of obesity among South Asians living in North America.

Sleep duration and mortality in patients with chronic noncommunicable disease: a population-based cohort study

BACKGROUND

Inadequate sleep behaviors may confer a higher risk of premature death, however, evidence in patients with chronic noncommunicable disease (NCD) is scarce. To investigate the relationship between sleep duration and mortality from all-cause and heart diseases in NCD patients from a prospective cohort.

METHODS

Totally, 14,171 participants with at least one NCD, including 8275 with hypertension, 7547 with high cholesterol, 4065 with diabetes, and 5815 with chronic renal failure were enrolled from the National Health and Nutrition Examination Survey during 2005-2014. Cox proportional hazard models were performed to estimate the hazard ratio (HR) for sleep duration and mortality after adjusting for potential confounding factors.

RESULTS

After a median follow-up of 9 years, 2514 all-cause deaths were identified. Compared with sleeping 7-8 h/day, sleeping over 8 h/day was significantly associated with a higher risk of all-cause mortality, where the multivariable-HRs were 1.29 (1.11, 1.50) for hypertension, 1.23 (1.01, 1.51) for high cholesterol, 1.44 (1.13, 1.82) for diabetes, and 1.36 (1.10, 1.68) for chronic renal failure. Similar patterns were observed for heart disease mortality. A nonlinear association was detected between sleep duration and mortality in patients with NCD. Age modified the association in patients with hypertension (P-interaction: 0.036). Trouble sleeping modified the association in patients with diabetes (P-interaction: 0.042).

CONCLUSIONS

Long sleep duration was associated with higher risks of all-cause and heart disease mortality in patients with chronic NCD. Our findings highlight that improving sleep behaviors may decrease the risk of premature deaths and help to NCD tertiary prevention.

Investigation on sleep-related cognition of Chinese health care workers during the first wave of COVID-19 pandemic

Background

The COVID pandemic has brought tremendous negative effects on the mental health of health care workers, such as anxiety, depression, and sleep disorders. We conducted this study to evaluate the sleep-related cognition of Chinese health care workers (HCWs) during the first wave of COVID-19 pandemic and analyze its association with sleep quality, so as to provide scientific reference for improving sleep of HCWs.

Patients and methods

A total of 404 HCWs from Yijishan Hospital of Wuhu City, China were enrolled in the study, selected by randomized cluster sampling in May 2020. We made a questionnaire to collect the general demographic information of the participants. The Pittsburgh Sleep Quality Index (PSQI) and a brief version of Dysfunctional Beliefs and Attitudes about Sleep Scale (DBAS-16) were used to measure sleep quality and sleep-related cognition, respectively.

Results

The results showed that 312 HCWs (77.2%) had false beliefs and attitudes about sleep, while only 92 HCWs (22.8%) had correct beliefs about sleep. In addition, we found that those HCWs who were older, married, with a bachelor’s degree or higher, nurses, more daily working hours (> 8 h) and monthly night shifts (≥ 5 times), had higher DBAS-16 scores (all p < 0.05). However, we did not find significant differences between men and women in DBAS-16 scores. According to the definition of PSQI, a total of 1/4 of the HCWs are poor sleepers and their DBAS-16 score was higher than good sleepers (t = 7.622, p < 0.001). In the end, we confirmed a positive correlation between sleep cognition and sleep quality (r = 0.392, p < 0.01).

Conclusion

Our study revealed false beliefs and attitudes about sleep were prevalent among HCWs during the first wave of COVID-19 pandemic, and these false beliefs about sleep were closely correlated to sleep quality. We recommend fighting against these false beliefs about sleep.