This audio article is from VisualFieldTest.com. Read the full article here: https://visualfieldtest.com/en/do-alcohol-and-smoking-increase-glaucoma-risk-a-new-9-418-person-study-finds-a-stronger-link Test your visual field online: https://visualfieldtest.com Support the show so new episodes keep coming: https://www.buzzsprout.com/2563091/support Excerpt: Do Alcohol and Smoking Increase Glaucoma Risk? A New 9,418-Person Study Finds a Stronger Link A study published on October 10, 2026, reports that alcohol use and cigarette smoking were more common among people with primary open-angle glaucoma in a large African clinic-based sample. The headline figures are striking: former drinkers had about 49% higher odds of glaucoma, and current smokers about 46% higher odds. But the details complicate the headline. This was a cross-sectional, clinic-based study, not a study that followed healthy people to see who later developed glaucoma. Most cases came from glaucoma clinics, while most controls came from cataract or general medical clinics. The researchers measured recent substance use, not lifetime exposure. And when former drinkers were excluded, the association between current drinking and glaucoma was no longer statistically clear. My overall reading: heavy or repeated binge drinking may modestly contribute to glaucoma risk, but the evidence is not conclusive. The case that cigarette smoking causes glaucoma to develop is weaker. Smoking may, however, speed up structural damage in people who already have glaucoma; that possibility has some direct but limited evidence. The new Eyes of Africa study: what it found The Eyes of Africa analysis included 9,418 people aged 40 or older: 5,189 with primary open-angle glaucoma and 4,229 controls. Participants were enrolled from 2017 through 2023 at 16 centers in Nigeria, Ghana, and Malawi. The researchers used structured interviews to ask about alcohol, tobacco, medications, and other substances, then used statistical models to estimate adjusted odds of being a glaucoma case. The Eyes of Africa alcohol-and-smoking study How cases and controls were recruited The sample was assembled mainly through eye-care clinics, rather than by randomly sampling the population: 98.6% of glaucoma cases came from glaucoma clinics; 1.4% came from community outreach. 93.1% of controls came from cataract clinics or general geriatric clinics; 6.9% came from community outreach. The teams invited consecutive eligible patients, which helps avoid cherry-picking within those clinics—but does not make the clinics representative of the wider population. That imbalance matters. It means the study’s odds ratios describe differences in this selected case-control sample; they are not direct estimates of how much an individual’s chance of developing glaucoma changes. Eyes of Africa study methods How glaucoma was diagnosed The study used the International Society of Geographical and Epidemiological Ophthalmology criteria. In everyday terms, a diagnosis required evidence of damage to the optic nerve, usually supported by a characteristic visual-field defect, an open drainage angle on gonioscopy, and no other eye condition that better explained the damage. In some severely damaged eyes where a usable visual-field test was not possible, advanced optic-nerve damage could support the diagnosis. Controls had no clinical evidence of glaucoma and an eye pressure below 22 millimeters of mercury. Eyes of Africa methods The substance-use article itself does not report glaucoma severity or eye pressure by alcohol or smoking category. A companion report on the same cohort supplies useful context: cases averaged 63.9 years of age versus 61.4 for controls; 76.8% of cases had severe glaucoma in at least one eye at recruitment. Average eye pressure at study entry was 19.8 millimeters of mercury in cases, compared with 14.5 in hospital-based controls and 12.8 in community controls. The cases’ average historical maximum pressure was 24.9. These figures describe the overall cohort—not the drinking or smoking subgroups—and many cases were already receiving treatment. Eyes of Africa cohort profile Age and social differences between groups The glaucoma group was older. Among cases, 29.1% were 80 or older, compared with 21.7% of controls. Cases were also more often male, unemployed, and had completed secondary education or more. In the adjusted model, unemployment was associated with higher odds of being a case (1.23), as was secondary education or higher (1.27). These are social characteristics, not proof that unemployment or education causes glaucoma; they may also reflect differences in health, access to eye care, or diagnosis. Eyes of Africa study results The reported alcohol and smoking figures The study’s adjusted odds ratios, compared with never-users unless otherwise specified, were: For the full table, please open this article on visualfieldtest.com. The reported estimates are real, but they need careful interpretation. “Former drinker” meant no alcohol in the 30 days before the interview, not necessarily someone who had permanently quit after years of heavy drinking. “Current drinker” meant at least one drink in that 30-day period. “Former smoker” meant having smoked more than 100 cigarettes over a lifetime but not in the prior 30 days. These brief definitions do not tell us how much a person used to drink or smoke, for how long, or how long ago they stopped. Eyes of Africa exposure definitions and regression results There is also an important detail about the “heavy episodic drinking” result. In the paper, the measure was the largest amount ever consumed in a single day: more than two drinks versus two or fewer. It did not measure how often this happened or the person’s lifetime total. It is therefore not a reliable measure of sustained heavy drinking, and it is not the same as a well-characterized dose-response analysis. What the study did—and did not—show about dose The study did not record lifetime alcohol units or smoking pack-years. Pack-years combine the number of cigarette packs smoked each day with the number of years smoked. Without these cumulative measures, the researchers could not test whether risk rose steadily with long-term exposure. Among current drinkers, reported monthly consumption did not differ significantly between cases and controls. Among current smokers, the number of cigarettes smoked per day also did not differ significantly. Those comparisons were limited by small numbers at higher exposure levels. The study therefore offers no clear dose-and-frequency curve for either substance. Eyes of Africa alcohol and tobacco patterns Two further results deserve attention: In an analysis restricted to current and never-users, current drinking was not associated with higher glaucoma odds: adjusted odds ratio 0.90 (95% confidence interval 0.78–1.04). The alcohol signal in the main analysis was therefore substantially influenced by the former-drinker group. In that restricted analysis, the association with current smoking remained: adjusted odds ratio 1.62 (95% confidence interval 1.16–2.27). This is still an association within a clinic-based sample, not proof of causation. The team adjusted for age, sex, education, employment, country of birth, and other measured substance-use variables. It did not fully account in its main model for factors such as family history of glaucoma, eye pressure, central corneal thickness, myopia, or a detailed set of medical and vascular conditions. A supplementary model adding body mass index reduced the current-alcohol association until it was no longer statistically significant; the authors reported that several other associations changed less. Eyes of Africa adjusted results and limitations Why do former drinkers look worse than current drinkers? At first glance, the former-drinker result—an odds ratio of 1.49, compared with 1.15 for current drinkers—could seem to suggest that quitting alcohol increases glaucoma risk. That is not a sensible causal interpretation. Several other explanations are more likely. Illness-related quitting and reverse causation People may reduce or stop drinking after a diagnosis, after developing another illness, or when treatment or family circumstances change. If some glaucoma cases had already been diagnosed before the interview, their diagnosis could have influenced their drinking. Because glaucoma often develops unnoticed for years, it is difficult to know whether alcohol use preceded the disease, changed because of it, or both. The Eyes of Africa study does not report when each person stopped drinking relative to glaucoma onset or diagnosis. Its cross-sectional design cannot sort out that sequence. The researchers themselves noted that people may have reduced drinking after diagnosis or health advice. Eyes of Africa discussion The “former drinker” category combines very different people A person who stopped drinking last week and a person who stopped decades ago are both “former drinkers” in this analysis. So are people who drank only occasionally and happened not to drink in the last 30 days. The category does not distinguish illness-related quitting from social, religious, financial, or other reasons for not drinking. This broad grouping can make the former-drinker association difficult to interpret. It also leaves room for sick-quitter bias: people may quit because they are unwell, and their illness—not their quitting—may be associated with glaucoma or with clinic attendance. Age, health, and survival could also contribute Cases were older than Support the show