“1 in 8 UK men have a mental health condition” understates current prevalence rates.
In the most recent Adult Psychiatric Morbidity Survey 2023/4, 17.3% of men aged 16-64 currently experienced common mental health conditions in the last week, equivalent to approximately 1 in 6 men (15.4% or 1 in 6.5 men of all ages).
# Create summary table of current rates
summary_table <- mens_current %>%
select(condition, total) %>%
arrange(desc(total)) %>%
mutate(
`Prevalence (%)` = round(total, 1),
`Equivalent Ratio` = paste0("1 in ", round(100/total, 1))
) %>%
select(Condition = condition, `Prevalence (%)`, `Equivalent Ratio`)
kable(summary_table,
caption = "Table 1: Prevalence of common mental health conditions in UK men (2023/4)") %>%
kable_styling(bootstrap_options = c("striped", "hover", "condensed"),
full_width = FALSE) %>%
row_spec(which(summary_table$Condition == "Any CMHC"), bold = TRUE, background = "#E3F2FD")
| Condition | Prevalence (%) | Equivalent Ratio |
|---|---|---|
| Any CMHC | 15.4 | 1 in 6.5 |
| CMHC-NOS | 6.4 | 1 in 15.6 |
| GAD | 5.7 | 1 in 17.5 |
| Depressive episode | 3.1 | 1 in 32.3 |
| Phobias | 2.3 | 1 in 43.5 |
| OCD | 2.2 | 1 in 45.5 |
| Panic disorder | 0.9 | 1 in 111.1 |
The overall prevalence of any common mental health condition among UK men is 15.4%, equivalent to approximately 1 in 6.5 men.
# Prepare data for age visualization
any_cmhc_current <- data.frame(
age_group = c("16-24", "25-34", "35-44", "45-54", "55-64", "65-74", "75+"),
prevalence = c(13.5, 20.8, 14.9, 18.4, 15.7, 11.6, 8.7)
)
# Create age distribution plot
ggplot(any_cmhc_current, aes(x = age_group, y = prevalence)) +
geom_col(fill = "#2E86C1", alpha = 0.8, width = 0.7) +
geom_hline(yintercept = 12.5, linetype = "dashed", color = "red", linewidth = 1) +
geom_text(aes(label = paste0(round(prevalence, 1), "%")),
vjust = -0.5, size = 3.5, fontface = "bold") +
annotate("text", x = 5.5, y = 13.5, label = "1 in 8 (12.5%)",
color = "red", size = 3.5, fontface = "bold") +
labs(title = "Prevalence of Any Common Mental Health Condition by Age",
subtitle = "UK Men, 2023/4",
x = "Age Group (years)",
y = "Prevalence (%)",
caption = "Source: Adult Psychiatric Morbidity Survey 2023/4") +
theme_minimal() +
theme(
plot.title = element_text(size = 14, face = "bold"),
plot.subtitle = element_text(size = 12),
axis.text.x = element_text(angle = 45, hjust = 1)
) +
ylim(0, 22)
Figure 1: Prevalence of any common mental health condition in UK men by age group (2023/4).
ggplot(historical_any_cmhc_men, aes(x = year, y = prevalence)) +
geom_line(linewidth = 1.2, color = "#2E86C1") +
geom_point(size = 4, color = "#2E86C1") +
geom_hline(yintercept = 12.5, linetype = "dashed", color = "red", linewidth = 1) +
geom_text(aes(label = paste0(prevalence, "%")),
vjust = -1.2, size = 3.5, fontface = "bold") +
annotate("text", x = 2015, y = 13.2, label = "1 in 8 (12.5%)",
color = "red", size = 3.5, fontface = "bold") +
labs(title = "Historical Trends: Any Common Mental Health Condition",
subtitle = "UK Men Aged 16-64, 1993-2023",
x = "Survey Year",
y = "Prevalence (%)",
caption = "Source: Adult Psychiatric Morbidity Surveys 1993-2023/4") +
scale_x_continuous(breaks = c(1993, 2000, 2007, 2014, 2023)) +
theme_minimal() +
theme(
plot.title = element_text(size = 14, face = "bold"),
plot.subtitle = element_text(size = 12)
) +
ylim(10, 19)
Figure 2: Trends in mental health prevalence among UK men aged 16-64 (1993-2023).
ggplot(historical_by_age, aes(x = year, y = prevalence, color = age_group)) +
geom_line(linewidth = 1.1, alpha = 0.8) +
geom_point(size = 2.5, alpha = 0.8) +
geom_hline(yintercept = 12.5, linetype = "dashed", color = "red", alpha = 0.7) +
scale_color_brewer(type = "qual", palette = "Set2", name = "Age Group") +
labs(title = "Historical Trends by Age Group: Any Common Mental Health Condition",
subtitle = "UK Men, 1993-2023",
x = "Survey Year",
y = "Prevalence (%)",
caption = "Red line shows '1 in 8' (12.5%)") +
scale_x_continuous(breaks = c(1993, 2000, 2007, 2014, 2023)) +
theme_minimal() +
theme(
plot.title = element_text(size = 14, face = "bold"),
plot.subtitle = element_text(size = 12),
legend.position = "bottom"
) +
guides(color = guide_legend(nrow = 1)) +
ylim(8, 22)
Figure 3: Trends in mental health prevalence among UK men by age group (1993-2023)
Report generated on 2025-08-29 using R version 4.5.1