Healthy Sleep Associated With Lower Risk of Hypertension Regardless of Genetic Risk: A Population-Based Cohort Study

Fish oil supplementation, genetic susceptibility and risk of new-onset hypertension

OBJECTIVES

The risk of new-onset hypertension is influenced by habitual fish oil supplementation, but whether the association is modified by genetic predisposition is unknown.

METHODS

A total of 213,604 participants without hypertension were identified at baseline from the UK Biobank between 2006 and 2010. The weighted polygenetic risk score (PRS) comprising 118 identified single-nucleotide polymorphisms (SNPs) was used to quantify genetic susceptibility. Cox regression models were applied to determine the association between fish oil supplementation, PRS, and hypertension and evaluate the effect modification of genetic susceptibility.

RESULTS

During a median follow-up of 13.8 years, 18,498 new-onset hypertension cases were identified. Approximately 30.6 % (65,452) of participants were habitual fish oil users. The hazard ratio (HR) of habitual fish oil users for hypertension was 0.94 (95 % confidence interval [CI], 0.91-0.98). Fish oil nonusers with a high genetic risk had an increased risk of hypertension (HR, 1.52; 95 % CI, 1.41-1.64) compared to fish oil users with a low genetic risk. In addition, an interaction on the additive scale between the fish oil use and intermediate or high levels of genetic susceptibility was observed. The interactive effects accounted for approximately 7 % and 22 % of the risk of developing hypertension, respectively.

CONCLUSIONS

This cohort study indicates regular fish oil supplementation could be beneficial in preventing hypertension, particularly among individuals with intermediate or high genetic susceptibility on an additive scale.

Association between sleep duration and hypertension incidence: Systematic review and meta-analysis of cohort studies

AIM

Sleep duration has been suggested to be associated with hypertension (HTN). However, evidence of the nature of the relationship and its direction has been inconsistent. Therefore, we performed a meta-analysis to assess the relationship between sleep duration and risk of HTN incidence, and to distinguish more susceptible populations.

METHODS

PubMed, Embase, Scopus, Web of Science, and ProQuest were searched from January 2000 to May 2023 for cohort studies comparing short and long sleep durations with 7-8 hours of sleep for the risk of HTN incidence. Random-effect model (the DerSimonian-Laird method) was applied to pool risk ratios (RR) and 95% confidence interval (CI).

RESULTS

We included sixteen studies ranging from 2.4 to 18 years of follow-up duration evaluating HTN incidence in 1,044,035 people. Short sleep duration was significantly associated with a higher risk of developing HTN (HR: 1.07, 95% CI: 1.06-1.09). The association was stronger when the sleep duration was less than 5 hours (HR: 1.11, 95% CI: 1.08-1.14). In contrast to males, females (HR: 1.07, 95% CI: 1.04-1.09) were more vulnerable to developing HTN due to short sleep duration. No significant difference between different follow-up durations and age subgroups was observed. Long sleep duration was not associated with an increased incidence of HTN.

CONCLUSION

Short sleep duration was associated with higher risk of HTN incidence, however, there was no association between long sleep duration and incidence of HTN. These findings highlight the importance of implementing target-specific preventive and interventional strategies for vulnerable populations with short sleep duration to reduce the risk of HTN.

Association between sleep pattern and incidence of hypertension: A prospective cohort study of older adult participants in the Chinese longitudinal healthy longevity survey

BACKGROUND

The relationship between sleep duration or sleep quality and the risk of hypertension has been previously examined. However, little is known regarding the association between sleep duration and quality and the risk of developing hypertension in the older adult Chinese population.

METHODS

The sleep patterns of 5683 participants without hypertension at baseline from the Chinese Longitudinal Healthy Longevity Survey were analyzed. Cox proportional hazard models were used to study the associations between sleep patterns and hypertension.

RESULTS

It was found that 1712 (30.12%) of the 5683 participants had an unhealthy sleep pattern. After an average follow-up of 3.31 years, 1350 of the participants had hypertension. Compared with participants with an unhealthy sleep pattern, those with a healthy sleep pattern had a 20% (hazard ratio = 0.80, 95% confidence interval = 0.67-0.94, P = = 0.008) lower risk of incident hypertension in the fully adjusted models. In addition, an approximately linear dose-response association was observed between sleep duration and the incidence of hypertension (P for non-linear =0.43). Subgroup analyses demonstrated significant interactions between age and sleep pattern concerning hypertension (P for interaction <0.05). Several sensitivity analyses were conducted, and the obtained findings were similar to the main results.

CONCLUSIONS

A healthy sleep pattern, comprising an adequate sleep duration and good sleep quality, can help reduce hypertension risk. Thus, a healthy sleep pattern is crucial to decreasing hypertension in older Chinese adults in a rapidly aging society.

Different sedentary behaviors, genetic susceptibility of hypertension, and new-onset hypertension: Mediating effects of body mass index and grip strength

BACKGROUND

The association between different sedentary behaviors and hypertension risk remains unclear. We aimed to explore the relationship between different domains of sedentary behaviors and new-onset hypertension, investigate whether genetic susceptibility to hypertension modifies the relationship, and examine the extent to which the relationship is mediated by body mass index (BMI) and grip strength.

METHODS

212 714 participants without baseline hypertension in the UK Biobank were enrolled. The three major sedentary behaviors (TV-watching, nonoccupational computer use, and driving) were measured using touch screen questionnaires. The primary outcome was new-onset hypertension.

RESULTS

During a median follow-up of 11.9 years, 13 983 participants developed hypertension. There was a linear positive association between TV-watching time and new-onset hypertension (p for nonlinearity =0.868). A J-shaped association was found for nonoccupational computer use time and driving time with new-onset hypertension, with an inflection point of 0.5 h/day for both (both p for nonlinearity <0.001). Polygenetic risk scores for hypertension (based on 118 related single-nucleotide polymorphisms) did not significantly modify these associations (all p-interactions >0.05). Furthermore, the detrimental effects of long-term sedentary behaviors on hypertension were mediated by BMI by 21%-30%, and the beneficial effects of limited sitting time (within 0.5 h/day) for driving and nonoccupational computer use were mediated by grip strength by 6-25%.

CONCLUSIONS

There was a positive association for hands-independence sedentary behavior (TV-watching), and a J-shaped association for hands-dependence sedentary behaviors (nonoccupational computer use and driving) with new-onset hypertension, regardless of genetic risks of hypertension. These relationships were partly mediated by BMI and grip strength.

Lifestyle management of hypertension: International Society of Hypertension position paper endorsed by the World Hypertension League and European Society of Hypertension

Hypertension, defined as persistently elevated systolic blood pressure (SBP) >140 mmHg and/or diastolic blood pressure (DBP) at least 90 mmHg (International Society of Hypertension guidelines), affects over 1.5 billion people worldwide. Hypertension is associated with increased risk of cardiovascular disease (CVD) events (e.g. coronary heart disease, heart failure and stroke) and death. An international panel of experts convened by the International Society of Hypertension College of Experts compiled lifestyle management recommendations as first-line strategy to prevent and control hypertension in adulthood. We also recommend that lifestyle changes be continued even when blood pressure-lowering medications are prescribed. Specific recommendations based on literature evidence are summarized with advice to start these measures early in life, including maintaining a healthy body weight, increased levels of different types of physical activity, healthy eating and drinking, avoidance and cessation of smoking and alcohol use, management of stress and sleep levels. We also discuss the relevance of specific approaches including consumption of sodium, potassium, sugar, fibre, coffee, tea, intermittent fasting as well as integrated strategies to implement these recommendations using, for example, behaviour change-related technologies and digital tools.

Poor sleep and shift work associate with increased blood pressure and inflammation in UK Biobank participants

Disrupted circadian rhythms have been linked to an increased risk of hypertension and cardiovascular disease. However, many studies show inconsistent findings and are not sufficiently powered for targeted subgroup analyses. Using the UK Biobank cohort, we evaluate the association between circadian rhythm-disrupting behaviours, blood pressure (SBP, DBP) and inflammatory markers in >350,000 adults with European white British ancestry. The independent U-shaped relationship between sleep length and SBP/DBP is most prominent with a low inflammatory status. Poor sleep quality and permanent night shift work are also positively associated with SBP/DBP. Although fully adjusting for BMI in the linear regression model attenuated effect sizes, these associations remain significant. Two-sample Mendelian Randomisation (MR) analyses support a potential causal effect of long sleep, short sleep, chronotype, daytime napping and sleep duration on SBP/DBP. Thus, in the current study, we present a positive association between circadian rhythm-disrupting behaviours and SBP/DBP regulation in males and females that is largely independent of age.

Sleep patterns, genetic susceptibility, and risk of new-onset gout: The UK Biobank prospective cohort study

OBJECTIVE

The association between sleep behaviors and gout risk remains uncertain. We aimed to evaluate the relationship of sleep patterns based on a combination of five major sleep behaviors with the risk of new-onset gout, and to explore whether genetic risks of gout may modify this association in the general population.

METHODS

403,630 participants without gout at baseline in UK Biobank were included. A healthy sleep score was created by combining five major sleep behaviors, including chronotype, sleep duration, insomnia, snoring, and daytime sleepiness. Genetic risk score for gout was calculated based on 13 single nucleotide polymorphisms (SNPs) with independently significant genome-wide association with gout. The primary outcome was new-onset gout.

RESULTS

During a median follow-up duration of 12.0 years, 4270 (1.1%) participants developed new-onset gout. Compared to participants with poor sleep patterns (0 ≤ healthy sleep score ≤ 1), those with healthy sleep patterns (4 ≤ healthy sleep score ≤ 5) had a significantly lower risk of new-onset gout (HR, 0.79; 95% CI: 0.70-0.91). Moreover, the significantly lower risk of new-onset gout associated with healthy sleep patterns were mainly found in those with low (HR, 0.68; 95%CI: 0.53-0.88), or intermediate genetic risks of gout (HR, 0.78; 95%CI: 0.62-0.99), but not in participants with high genetic risks of gout (HR, 0.95; 95%CI: 0.77-1.17) (P for interaction =0.043).

CONCLUSIONS

Among the general population, a healthy sleep pattern was associated with a significant lower of new-onset gout risk, especially in those with lower genetic risks of gout.

Mobile phone calls, genetic susceptibility, and new-onset hypertension: results from 212 046 UK Biobank participants

Aims

The relationship between mobile phone use for making or receiving calls and hypertension risk remains uncertain. We aimed to examine the associations of mobile phone use for making or receiving calls and the use frequency with new-onset hypertension in the general population, using data from the UK Biobank.

Methods and results

A total of 212 046 participants without prior hypertension in the UK Biobank were included. Participants who have been using a mobile phone at least once per week to make or receive calls were defined as mobile phone users. The primary outcome was new-onset hypertension. During a median follow-up of 12.0 years, 13 984 participants developed new-onset hypertension. Compared with mobile phone non-users, a significantly higher risk of new-onset hypertension was found in mobile phone users [hazards ratio (HR), 1.07; 95% confidence interval (CI): 1.01-1.12]. Among mobile phone users, compared with those with a weekly usage time of mobile phones for making or receiving calls <5 mins, significantly higher risks of new-onset hypertension were found in participants with a weekly usage time of 30-59 mins (HR, 1.08; 95%CI: 1.01-1.16), 1-3 h (HR, 1.13; 95%CI: 1.06-1.22), 4-6 h (HR, 1.16; 95%CI: 1.04-1.29), and >6 h (HR, 1.25; 95%CI: 1.13-1.39) (P for trend <0.001). Moreover, participants with both high genetic risks of hypertension and longer weekly usage time of mobile phones making or receiving calls had the highest risk of new-onset hypertension.

Conclusions

Mobile phone use for making or receiving calls was significantly associated with a higher risk of new-onset hypertension, especially among high-frequency users.

Healthy sleep pattern reduce the risk of cardiovascular disease: A 10-year prospective cohort study

OBJECTIVE

To identify the association between quantified sleep factors and the incidence of cardiovascular disease (CVD) through a 10-year prospective cohort study.

METHODS

A total of 45,919 individuals were recruited in this population-based prospective study. The healthy sleep score was constructed by four sleep measures (sleep duration, insomnia symptoms, snoring and daytime sleepiness), which were collected by questionnaire. The hazard ratio (HR) and 95% confidence intervals (CIs) were calculated by the multivariate-adjusted Cox proportional hazards model. Restricted cubic spline analysis was used to examine the dose‒response relationships between healthy sleep scores and outcomes.

RESULTS

During a median follow-up of 10.73 years (interquartile range: 10.08-11.72 years), 10,523 cases of total CVD incidence, 3766 cases of CHD, and 3967 cases of stroke incidence were documented. Our results found that participants who maintained four healthy sleep measures (including no insomnia, snoring, or frequent daytime sleepiness and sleeping 7-8 h/d) had a 12% (HR: 0.88, 95% CI: 0.84-0.93) and 16% (HR: 0.84, 95% CI: 0.78-0.92) lower risk of developing CVD and CHD, respectively, but not stroke. There was a dose‒response relationship between sleep scores and the risk of cardiovascular events. With an increasing healthy sleep score, the risk of cardiovascular events decreases. Compared to those with a sleep score of 0-1, participants with a score of 4 had 27% (HR: 0.73, 95% CI: 0.67-0.79), 25% (HR: 0.75, 95% CI: 0.65-0.87), and 24% (HR: 0.76, 95% CI: 0.66-0.86) reduced risks of CVD, CHD, and stroke, respectively.

CONCLUSIONS

In this large prospective cohort study, a healthy sleep pattern effectively reduced the risk of CVD, CHD, and stroke.

Sleep pattern, healthy lifestyle and colorectal cancer incidence

Researchers have identified an association between lifestyle factors and colorectal cancer (CRC) risk. This study examined the relationship between sleep patterns and CRC events. 392,252 individuals were sampled from the UK Biobank. Chronotype, sleep duration, insomnia, snoring, and excessive daytime sleepiness were combined to measure a healthy sleep score. A number of healthy sleep factors were defined, along with factors for healthy lifestyle scores. Using Cox proportional hazards regression, computed hazard ratios (HRs) were used to examine the associations between sleep patterns, healthy lifestyles, and the incidence of CRC. Healthy sleep scores were inversely associated with CRC events. The HRs for CRC were 0.90 (95% CI, 0.88-0.92) and 0.95 (95% CI, 0.92-0.98) for a 1-point healthy sleep score increase among males and females. When analyzing sleep components, sleeping 7-8 h/day, no frequent insomnia, no snoring, and no frequent daytime sleepiness were independently associated with a 9%, 14%, 8%, and 14% lower risk of CRC, respectively, whilst healthy lifestyle scores were inversely associated with CRC incidence across all models. Sleep pattern and lifestyle are significantly correlated with CRC risk. The healthier the subject's lifestyle and sleep pattern, the lower their CRC risk.