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Seasonal effects on suicide rates

Seasonal effects on suicide rates is a earth science topic covered in the lgStudy science library. This page brings together a partial reference excerpt, illustrations, worked examples, real-world applications and a short study plan, so you can understand Seasonal effects on suicide rates rather than just read about it. In short: Research on seasonal effects on suicide rates suggests that the prevalence of suicide is greatest during the late spring and early summer months, despite the common belief that suicide rates peak during the cold and dark months of the winter season. From both a behavioral and a biological standpoint, the reasons for this are unclear, but associations between seasonality and other possibly related phenomena have been…

Key takeaways

  • Seasonal effects on suicide rates belongs to earth science; place it in that map before memorising details.
  • Learn the definition first, then one example that makes the definition concrete.
  • Connect Seasonal effects on suicide rates to a quantity you can measure, compute or draw — that is where exam questions come from.
  • Reproduce the core statement of Seasonal effects on suicide rates from memory before moving on to harder problems.

Reference excerpt

Research on seasonal effects on suicide rates suggests that the prevalence of suicide is greatest during the late spring and early summer months, despite the common belief that suicide rates peak during the cold and dark months of the winter season. From both a behavioral and a biological standpoint, the reasons for this are unclear, but associations between seasonality and other possibly related phenomena have been found.

General effects The Centers for Disease Control and Prevention and the National Center for Health Statistics report that suicide rates in the United States are lowest during the winter months and highest in the spring and summer. Stephen Bridges asserts that there is "a high incidence in early spring (April and May) and also a low incidence in winter" of suicide rates. Bridges's study focused on seasonal effects on suicide risk by examining the monthly distribution of suicides in the 1970s, 1980s, and 1990s via a "harmonic time series model" with six observable harmonic cycles within each consecutive year. The results show a consistent pattern of suicide risk with most suicides occurring in the spring/summer and the fewest during the winter months. Specifically, Bridges found that in the 1970s "about 47% of the total variances can be explained by the seasonal components" within that given decade (with more suicides in spring/summer). In the 1980s, "the seasonal component of suicide incidence for the time period 1981 through 1990 is clearly significant and records about a 27.7% increase in seasonal contribution by comparison with the previous period". In the 1990s, "the significant seasonal rhythm were explained in 63% of the total variation". According to Bridges, recent research from industrialized countries (including Finland, Sweden, Australia, New Zealand, England, and Wales) has provided enough information to show a decrease in seasonal effects on suicide rates over the past few decades. In the case of Greece, seasonal variations in mortality from suicide are "more frequent during the spring and summer months…but [have] no regular annual rhythm". The Greek researchers proposed that "the seasonal variation of suicide follows more closely to the seasonal variation of sunshine, rather than the corresponding variation of temperature". Few scientific assessments have focused on seasonal suicide Epidemiology of suicide variations in the southern hemisphere. Studies in Brazil have shown that "the peak number of suicides occurred in spring (November) in men and women of Rio Grande do Sul state and in men of Paraná and Santa Catarina states, and in early summer (January) for women of Paraná state." One international study on seasonal effects on suicide rates involving 20 countries showed an early summer peak in suicides. She concluded that "seasonal variation in suicide incidence could be explained by the increase in sunshine in summer months because of a relationship between sunshine, high temperatures, and suicide rate". Australian researchers found a "spring peak in the number of suicides committed in Brisbane, Australia, but the results were not statistically significant…and that Dublin reported the incidence of suicide varied according to seasons in the northern hemisphere". French sociologist Émile Durkheim had found similar results, reporting that more suicides occurred in the spring than in the summer. Rather than emphasizing the role of nature, Durkheim interpreted the seasonal variation in sociological terms; he wrote that most suicides took place in the spring because "everything begins to awake; activity is resumed, relations spring up, interchanges increase. In other words, it is the density of human interactions, and not the environment that caused higher incidence of suicide in spring or summer".

Popular belief Many people believe that suicide rates peak during the winter months. Intuitively, this makes sense given the existence of seasonal affective disorder and the tendency to associate winter with depression. Weather in the colder season increases the prevalence of afflictions such as pneumonia and hypothermia, which largely proceeds from the minimal amount of sunlight exposure in the wintertime. As winter is popularly associated with a decrease in sunlight and an uptick in distempers, so it is by extension with suicide rates. Some also believe that "holiday cheer amplifies loneliness and hopelessness in people who have lost loved ones, or who have high expectations of renewed happiness during the holiday season, only to be disappointed".

Related factors Suicide attempts as well as other related behaviors and thought processes can be analyzed either exogenously (within the boundaries of social and economic elements) or endogenously (demographic, pathological, clinical, and seasonal aspects).

… excerpt ends here. Continue reading the full article.

Worked examples

Example 1 — a first encounter with Seasonal effects on suicide rates

Start with the simplest possible case. Write down what Seasonal effects on suicide rates claims or describes in one sentence, then invent the smallest concrete situation in which that sentence is true. In earth science, the smallest case is usually a single object, a single equation or a single measurement. Check that every symbol or term in your sentence has a meaning in that case.

Example 2 — changing one variable

Take the situation from Example 1 and change exactly one quantity: double it, halve it, or set it to zero. Predict what should happen to Seasonal effects on suicide rates before you calculate. Comparing your prediction with the result is the fastest way to find out whether you understand the idea or only the words.

Example 3 — an exam-style question

Typical questions about Seasonal effects on suicide rates ask you to (a) state it precisely, (b) apply it to given data, and (c) explain a limitation. Practise writing all three answers in under five minutes; the third part is what separates a full-mark answer from an average one.

Applications of Seasonal effects on suicide rates

In research
Seasonal effects on suicide rates appears in earth science research whenever the underlying quantities have to be modelled precisely. Papers usually cite it as a starting assumption and then explore where it breaks down.
In technology and industry
Engineering practice reuses Seasonal effects on suicide rates in design rules, simulations and safety margins. Knowing the idea lets you read a specification sheet and understand why the numbers look the way they do.
In the classroom
Seasonal effects on suicide rates is common in secondary-school and first-year university syllabi. It links to neighbouring topics Seasonality, Suicide, Weather and health, so understanding it makes those chapters shorter.
In everyday life
Look for Seasonal effects on suicide rates outside the textbook — in sport, cooking, traffic, electronics or the sky above you. An example you found yourself is remembered far longer than one you were given.
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How to study Seasonal effects on suicide rates in 20 minutes

  1. Read the reference excerpt below once, without taking notes.
  2. Close the page and write down what Seasonal effects on suicide rates means in your own words.
  3. Compare your version with the excerpt and mark what you missed.
  4. Work through the three examples above with pen and paper.
  5. Explain Seasonal effects on suicide rates out loud to somebody else — or to Teacher Smith in the lgStudy chat.

Frequently asked questions

What is Seasonal effects on suicide rates in simple terms?

Research on seasonal effects on suicide rates suggests that the prevalence of suicide is greatest during the late spring and early summer months, despite the common belief that suicide rates peak during the cold and dark months of the winter season. From both a behavioral and a biological standpoin…

Why does Seasonal effects on suicide rates matter?

Because it connects several earth science ideas at once: it gives you a definition you can apply, a quantity you can calculate, and a way to check whether a result is plausible.

How should I study Seasonal effects on suicide rates?

Read the excerpt, restate it from memory, then work through the examples and applications listed on this page. The five-step study plan above takes about twenty minutes.

What does this page cover?

It gives you a compact reference excerpt plus original lgStudy explanations, examples, applications and study material on Seasonal effects on suicide rates.

Tags

  • Seasonality
  • Suicide
  • Weather and health

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