Overall Global Leading Cause of Death

  • Ischemic heart disease (coronary artery disease) – Still the #1 cause of death worldwide.
  • Followed by: Stroke, chronic obstructive pulmonary disease (COPD), lower respiratory infections, and cancer (e.g., lung, liver, colorectal).

Breakdown by Category

By Age

Age GroupLeading Cause(s) of Death
Infants (<1)Neonatal conditions, birth complications, infections
Children (1–14)Accidents (injuries), infections (low-income countries), cancers (e.g., leukemia)
Youth (15–24)Road injuries, suicide, homicide (varies by country)
Adults (25–44)Injuries (road, drug overdose), suicide, HIV/AIDS (in some countries), heart disease
Middle Age (45–64)Heart disease, cancer (esp. lung, colorectal, breast), liver disease
Older Adults (65+)Heart disease, stroke, cancer, Alzheimer’s disease

By Gender/Sex

GroupLeading Cause of Death
Cisgender MenHeart disease, cancer (lung, liver), accidents
Cisgender WomenHeart disease, cancer (breast, lung), stroke
Transgender IndividualsElevated risk from violence, suicide, and HIV/AIDS (especially trans women of color); limited large-scale data
Non-binaryInsufficient population-specific data, but risks often parallel those of trans populations or assigned sex at birth

By Race/Ethnicity (Example: United States)

GroupTop CausesUnique Issues
White (non-Hispanic)Heart disease, cancer, drug overdose
Black or African AmericanHeart disease, cancer, higher stroke risk
Hispanic/LatinoHeart disease, cancer, diabetes
Native AmericanAccidents, liver disease, diabetes, suicide
Asian AmericanCancer (leading cause), stroke, heart disease

Note: Disparities arise from systemic inequalities, access to care, and social determinants of health.


By Sexuality (LGBTQ+)

  • Limited global data, but in many regions:
    • Higher risk of suicide, mental health disorders, substance abuse, HIV/AIDS (especially among MSM and trans women).
    • Discrimination and healthcare avoidance contribute to worsened outcomes.
  • Common causes of death still include heart disease and cancer, with higher rates of premature death linked to stigma and healthcare disparities.

By Geographic Region

RegionLeading Cause(s)
High-Income CountriesHeart disease, cancer, Alzheimer’s, stroke
Low- and Middle-Income CountriesInfectious diseases (TB, HIV), maternal mortality, stroke, heart disease
AfricaHIV/AIDS, malaria, lower respiratory infections
AsiaStroke, heart disease, chronic lung disease
North AmericaHeart disease, cancer, drug overdose (opioid crisis)
EuropeHeart disease, stroke, cancer
Latin AmericaViolence (in younger adults), heart disease, diabetes

By Profession

  • Agricultural/farm workers: High injury rates, pesticide exposure, suicide
  • Construction workers: Falls, injuries, exposure to toxins (e.g., asbestos)
  • Healthcare workers: Infectious disease, burnout, mental health risks
  • Military/first responders: Combat-related injuries, PTSD, suicide
  • Office workers: Sedentary lifestyle risks (heart disease, diabetes)

Occupation-linked deaths often relate to environmental exposures, physical risks, or psychological stressors.


Conclusion:

Across almost all demographics, heart disease remains the leading cause of death, followed by cancer, stroke, and—in certain populations—accidents, suicide, or infectious diseases. However, the underlying causes (social, economic, political) differ significantly based on identity, geography, and profession.

Would you like this formatted into a chart, infographic, or specific to a country or report you’re working on?

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Problematic Thinking Styles (continued)Problematic Thinking Styles (continued)

Hello readers! A few of the cognitive styles below were mentioned in my last post. As humans, we have a tendency to forget things so a bit of revision can be useful.

Many people have cognitive processes that result in overall unhelpful thinking styles that they tend to apply globally across situations and which may result in emotional distress (such as depression or anxiety) or unhelpful behaviours (such as anger or avoidance). Some of the most problematic thinking styles are listed in the extract below.


Mental Filter: This thinking styles involves a “filtering in” and “filtering out” process – a sort of “tunnel vision”, focusing on only one part of a situation and ignoring the rest. Usually this means looking at the negative parts of a situation and forgetting the positive parts, and the whole picture is coloured by what may be a single negative detail.


Jumping to Conclusions: I’m sure you’ve heard people say on television, “Don’t jump to conclusions” or “The truth is we just don’t know yet”. We jump to conclusions when we assume that we know what someone else is thinking (mind reading) and when we make predictions about what is going to happen in the future (predictive thinking).


Personalisation: This involves blaming yourself for everything that goes wrong or could go wrong, even when you may only be partly responsible or not responsible at all. You might be taking 100% responsibility for the occurrence of external events.


Catastrophising: Catastrophising occurs when we “blow things out of proportion” and we view the situation as terrible, awful, dreadful, and horrible, even though the reality is that the problem itself is quite small. A helpful restructuring of this cognition is to ask yourself if the situation will still be awful, terrible, or dreadful in a month. There may be ongoing consequences or stress involved if you lose a job or a relationship ends, so validate the experience you are having but also take a look at the big picture. What’s the worst that could happen? Why is the worst so “bad”? And if you are being realistic about the issue, reach out for some help if you can.


Black & White Thinking: This thinking style involves seeing only one extreme or the other. You are either wrong or right, good or bad and so on. There are no in-betweens or shades of grey.


Should-ing and Must-ing: Sometimes by saying “I should…” or “I must…” you can put unreasonable demands or pressure on yourself and others. Although these statements are not always unhelpful (e.g. “I should not get drunk and drive home”), they can sometimes create unrealistic expectations.


Overgeneralisation: When we overgeneralise, we take one instance in the past or present, and impose it on all current or future situations. If we say “You always…” or “Everyone…”, or “I never…” then we are probably overgeneralising.


Labelling: We label ourselves and others when we make global statements based on behaviour in specific situations. We might use this label even though there are many more examples that aren’t consistent with that label.


Emotional Reasoning: This thinking style involves basing your view of situations or yourself on the way you are feeling. For example, the only evidence that something bad is going to happen is that you feel like something bad is going to happen. I live with anxiety and it can be debilitating at times. I use my “wiser thinking” or “rational thinking” to evaluate whether I am operating from an emotional mindset. You might ask yourself: “What’s the evidence?”, “Does the past necessarily predict the future?”, “Am I angry or fearful right now because that might be clouding my judgement?”. It can be helpful to talk to someone who isn’t caught in your emotional headspace, or perhaps wait for the emotion to subside to think about the situation again.


Magnification and Minimisation: In this thinking style, you magnify the positive attributes of other people and minimise your own positive attributes. It’s as though you’re explaining away your own positive characteristics.

(CCI, 2008)