| Literature DB >> 31795024 |
Mi-Hyang Jung1, Ein-Soon Shin2, Sang-Hyun Ihm3, Jin-Gyu Jung4, Hae-Young Lee5, Cheol-Ho Kim6.
Abstract
BACKGROUND/AIMS: There are inconsistencies in the effects of low to moderate dose alcohol consumption on the development of hypertension in adult men. We hypothesized that a region-specific effect might participate in this heterogeneity.Entities:
Keywords: Alcohol; Dose-response relationship; Ethnic groups; Hypertension; Meta-analysis
Mesh:
Substances:
Year: 2019 PMID: 31795024 PMCID: PMC7373951 DOI: 10.3904/kjim.2019.016
Source DB: PubMed Journal: Korean J Intern Med ISSN: 1226-3303 Impact factor: 2.884
Figure 1.Preferred reporting items for systematic reviews and meta-analyses flow chart for the study selection.
Characteristics of the included studies
| Study | Country | Setting | Follow-up, yr | Age range (baseline) | No. of total participants | No. of total incident cases | Reference group | Comparison groups (level of alcohol intake) | NOS score (1–9) | Study design |
|---|---|---|---|---|---|---|---|---|---|---|
| Diederichs et al. (2017) [ | German | Community | Mean 11.9 (10.0–14.1) | 18–79 | 2,231 (men + women) | 29.0% in Men | Non-drinkers | < 20, ≥ 20 g/day (in men) | 8 | Cohort |
| Fuchs et al. (2001) [ | USA | Community | 6 | 45–64 | White 3,041 | White 515 | Non-drinkers | 1–209, ≥ 210 g/wk | 8 | Cohort |
| Black 512 | Black 138 | |||||||||
| Halanych et al. (2010) [ | USA | Community | 20 | 18–30 | 2,115[ | 472 | Non-drinkers | Light: < 7, moderate: 7–14, at risk: > 14 drinks/wk[ | 9 | Cohort |
| Nakanishi et al. (1998) [ | Japan | Workplace | 6 | 30–54 | 1,089 | 340 | Non-drinkers | ≤ 1.9, ≥ 2.0 g/day[ | 7 | Cohort |
| Nakanishi et al. (2001) [ | Japan | Workplace | 9 | 30–59 | 1,130 | 458 | Non-drinkers | 0.1–22.9, 23.0–45.9, 46.0–68.9, ≥ 69.0 g/day | 7 | Cohort |
| Nakanishi et al. (2002) [ | Japan | Workplace | 4 | 23–35 | 1,247 | 168 | Non-drinkers | < 12, 12–22, 23–45, ≥ 46 g/day | 7 | Cohort |
| 36–47 | 1,256 | 369 | ||||||||
| 48–59 | 1,281 | 427 | ||||||||
| Ohmori et al. (2002) [ | Japan | Community | 10 | ≥ 40 | 433 | 101 | Non-drinkers[ | < 23, 23–45, 46–68, ≥ 69 g/day | 8 | Cohort |
| Okubo et al. (2014) [ | Japan | Community | Mean 3.4 | 40–79 | 37,310 | 16,155 | Non-drinkers | 1.0–19.9, 20.0–39.9, 40.0–59.9, ≥ 60.0 g/day | 8 | Cohort |
| Park et al. (2006) [ | Korea | Community | Case 5.2, control 5.3 | ≥ 20 | 1,329 | Case 140, Control 140 | Non-drinkers | 1–9, 10–20, 20–30, ≥ 30 g/day | 6 | Case- control |
| Peng et al. (2013) [ | China | Workplace | 4 | 41–65 | 32,389 | 9,151 | Non-drinkers | 1–24, 25–49, 50–99, 100–149, ≥ 150 g/day | 7 | Cohort |
| Saremi et al. (2004) [ | USA | Community | Mean 10 (0.9–22) | ≥ 20 | 825 | 192 | Non-drinkers | Light–moderate: occasionally or < 1 drink/day and 1–2 drink/day, occasional heavy (exclude ≥ 3 drinks/day) | 8 | Cohort |
NOS, Newcastle-Ottawa Scale.
African-American + European-American.
1 Average drink = 17.2 mL of ethanol.
1 Go = 23 g of ethanol.
Included irregular drinkers who drank less than once a month.
Figure 2.Risk of developing hypertension in each alcohol consumption category, stratified by region. Forest plots for the effect of alcohol dose on hypertension incidence in men: (A) low (0.01 to 20.0 g/day), (B) moderate (20.1 to 40.0 g/day), (C) moderate to high (40.1 to 60.0 g/day), and (D) high (> 60.0 g/day) doses of alcohol consumption. Each plot is stratified by region (Asian and Western). IV, inverse variance; SE, standard error; CI, confidence interval.
Figure 3.Summary of the dose-response relationship for alcohol consumption and incidence of hypertension among Asian and Western men. RR, relative risk.
Hypertension incidence compared to non-drinkers by the level of alcohol consumption
| Alcohol consumption, g/day | Region | No. of studies | RR[ | ||
|---|---|---|---|---|---|
| 0.01–20.0 | Asian | 6 | 53 (0.06) | 1.25 (1.13–1.38) | 0.88 (0.31[ |
| Western | 4 | 68 (0.02) | 1.22 (0.85–1.74) | ||
| 3[ | 58 (0.09) | 1.06 (0.79–1.43)[ | |||
| 20.1–40.0 | Asian | 7 | 59 (0.02) | 1.48 (1.27–1.72) | 0.84 |
| Western | 3 | 44 (0.17) | 1.57 (0.90–2.75) | ||
| 40.1–60.0 | Asian | 6 | 58 (0.04) | 1.75 (1.43–2.15) | 0.78 |
| Western | 1 | - | 1.47 (0.44–4.91) | ||
| > 60.0 | Asian | 3 | 80 (< 0.01) | 1.78 (1.51–2.09) | 0.40 (0.22[ |
| 2[ | 67 (0.08) | 2.02 (1.49–2.73)[ | |||
| Western | 1 | - | 1.49 (1.02–2.18) |
RR, relative risk; CI, confidence interval.
Generic inverse variance method, random-effect model.
Sensitivity analysis.
Sensitivity analysis, a repeat of the primary analysis without an effect estimate from Diederichs and Neuhauser [32].
Sensitivity analysis, a repeat of the primary analysis without an effect estimate from Okubo et al. [14].