METHODS: We reviewed 22 previous studies that (1) empirically manipulated social support in a stressful situation, (2) measured CVR, and (3) tested a moderator of social support effects on CVR.
RESULTS: Although a majority of studies reported a CVR-mitigating effect of social support resulting in an overall significant combined p-value, we found that there were different effects of social support on CVR when we considered high- and low-engagement contexts. That is, compared to control conditions, social support lowered CVR in more engaging situations but had no significant effect on CVR in less engaging situations.
CONCLUSION: Our results suggest that a dual-effect model of social support effects on CVR may better capture the nature of social support, CVR, and health associations than the buffering hypothesis and emphasize a need to better understand the health implications of physiological reactivity in various contexts. Statement of contribution What is already known on this subject? According to the stress-buffering hypothesis (Cohen & McKay, ), one pathway social support benefits health is through mitigating the physiological arousal caused by stress. However, previous studies that examined the effects of social support on blood pressure and heart rate changes were not consistently supporting the hypothesis. Some studies reported that social support causes elevations in cardiovascular reactivity (CVR) to stress (Anthony & O'Brien, ; Hilmert, Christenfeld, & Kulik, ; Hilmert, Kulik, & Christenfeld, ) and others showed no effect of social support on CVR (Christian & Stoney, ; Craig & Deichert, ; Gallo, Smith, & Kircher, ). What does this study add? When participants were in more engaging conditions, social support decreased CVR relative to no support. When participants were in less engaging conditions, social support did not have a significant effect on CVR. Provide an alternative way to explain the ways social support affects cardiac health.
METHODS: We conducted a randomised, double blinded, two-armed parallel study comparing 20 g/day of Tualang Honey versus 20 g/day Honey Cocktail among postmenopausal women aged 45-65 years. The cardiovascular parameters and anthropometrics measurements were assessed at baseline, 6 months, and 12 months of the intervention.
RESULTS: 100 subjects were successfully randomised into the groups. There was a significant decrease in the diastolic blood pressure from 77.92 mmHg at baseline to 73.45 mmHg at 12 months (F-statistic = 2.55, p-value = 0.047) in the Tualang Honey group compared to Honey Cocktail. There was also a significant decrease in the fasting blood sugar from 6.11 mmol/L at baseline to 5.71 mmol/L at 12 months (F-statistic = 4.03, p-value = 0.021) in the Tualang Honey group compared to the Honey Cocktail group. The body mass index remained unchanged at 27 kg/m2 (F-statistic = 1.60, p-value = 0.010) throughout 12 months of the intervention in the Honey Cocktail group.
CONCLUSION: Subjects who received Honey Cocktail showed remarkable effects on body mass index. However, Tualang Honey supplementation showed superior effect in lowering diastolic blood pressure and fasting blood sugar compared to Honey Cocktail. Further studies are required to ascertain the underlying mechanism(s) of Tualang Honey and Honey Cocktail on each observed parameter.
Methods: A cross-sectional study with a cross-sectional methodology was done in selected places from August 2018 to December 2018. We interviewed 197 participants aged equal to or more than 18 years old and measured their blood pressure (BP). Univariate and multivariate logistic regression were applied.
Results: The overall HTN prevalence of 30.0% was recorded. The differences of HTN prevalence rates were seen by several characters including age groups (p <0.001), accompanying disease (p <0.001) and alcohol drinking (p <0.05). Factors independently associated with hypertension were age (ORs: 3.1 [1.1-9.1]; 6.1 [1.7-22.3]), much salty consumption (OR: 2.6 [1.1-6.6]), alcohol use (OR: 3.1 [1.2-8.1]), HTN familial history (OR: 4.2 [1.3-13.3]) and at least one suffering disease (OR: 5.2 [2.1-12.7]).
Conclusions: Thus, this study highlighted the high overall HTN prevalence in the Vietnam Northwestern region. Significant differences of HTN rate were observed among several characteristics such as age groups, accompanying disease and alcohol drinking. Age group, much salty consumption, alcohol use, hypertension familial history and at least one suffering disease were risk factors for HTN in study group.