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Mortality DeterminantsMortality Determinants
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 Group | Leading 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
| Group | Leading Cause of Death |
|---|---|
| Cisgender Men | Heart disease, cancer (lung, liver), accidents |
| Cisgender Women | Heart disease, cancer (breast, lung), stroke |
| Transgender Individuals | Elevated risk from violence, suicide, and HIV/AIDS (especially trans women of color); limited large-scale data |
| Non-binary | Insufficient population-specific data, but risks often parallel those of trans populations or assigned sex at birth |
By Race/Ethnicity (Example: United States)
| Group | Top Causes | Unique Issues |
|---|---|---|
| White (non-Hispanic) | Heart disease, cancer, drug overdose | |
| Black or African American | Heart disease, cancer, higher stroke risk | |
| Hispanic/Latino | Heart disease, cancer, diabetes | |
| Native American | Accidents, liver disease, diabetes, suicide | |
| Asian American | Cancer (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
| Region | Leading Cause(s) |
|---|---|
| High-Income Countries | Heart disease, cancer, Alzheimer’s, stroke |
| Low- and Middle-Income Countries | Infectious diseases (TB, HIV), maternal mortality, stroke, heart disease |
| Africa | HIV/AIDS, malaria, lower respiratory infections |
| Asia | Stroke, heart disease, chronic lung disease |
| North America | Heart disease, cancer, drug overdose (opioid crisis) |
| Europe | Heart disease, stroke, cancer |
| Latin America | Violence (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.
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Neurobiological Mechanisms of AddictionNeurobiological Mechanisms of Addiction
Addiction is a chronic, relapsing disorder involving changes in brain reward, motivation, learning, stress and executive control systems. While different substances (and behaviours) act through distinct primary mechanisms, they converge on common neurobiological pathways — particularly the mesocorticolimbic dopamine system.
Below is an overview in Australian English of the core mechanisms and then substance-specific and behavioural addiction processes.
Core Neurobiological Pathways in Addiction
1. The Mesocorticolimbic Dopamine System
The central pathway implicated in addiction is the mesocorticolimbic circuit, involving:
- Ventral tegmental area (VTA)
- Nucleus accumbens (NAc)
- Prefrontal cortex (PFC)
- Amygdala
- Hippocampus
All addictive drugs increase dopamine transmission in the nucleus accumbens, either directly or indirectly. Dopamine does not simply produce pleasure — it encodes reward prediction, salience and learning. With repeated exposure:
- Drug-related cues gain exaggerated salience
- Natural rewards become less reinforcing
- Behaviour becomes increasingly habitual and compulsive
2. Neuroadaptation and Allostasis
Repeated substance exposure produces:
Tolerance — Reduced response due to receptor downregulation or neurotransmitter depletion.
Dependence — Neuroadaptations that produce withdrawal when the substance is removed.
Allostatic shift — The brain’s reward set point shifts downward, mediated by stress systems (e.g. corticotropin-releasing factor), resulting in dysphoria during abstinence.
3. Habit Formation and Loss of Control
With repeated use:
- Control shifts from ventral striatum (goal-directed) to dorsal striatum (habit-based)
- Prefrontal cortex regulation weakens
- Impulsivity and compulsivity increase
Substance-Specific Mechanisms
Alcohol
Alcohol acts on multiple neurotransmitter systems:
- Enhances GABA-A receptor function (inhibitory)
- Inhibits NMDA glutamate receptors (excitatory)
- Increases dopamine release in nucleus accumbens
- Affects endogenous opioid systems
Chronic exposure leads to:
- GABA downregulation
- NMDA upregulation
- Hyperexcitable state during withdrawal (risk of seizures, delirium tremens)
Alcohol dependence also involves stress system activation and impaired frontal cortical control.
Methamphetamine
Methamphetamine is a potent psychostimulant that:
- Enters presynaptic terminals
- Reverses the dopamine transporter (DAT), causing carrier-mediated dopamine efflux
- Inhibits vesicular monoamine transporter 2 (VMAT2), releasing dopamine from synaptic vesicles into the cytoplasm
- Causes massive dopamine release into the synapse
It also increases noradrenaline and serotonin.
Chronic use causes:
- Dopamine neurotoxicity (particularly to dopaminergic terminals)
- Reduced dopamine transporter availability
- Structural changes in striatum and PFC
- Persistent cognitive deficits
Methamphetamine produces particularly strong sensitisation of cue-driven craving.
Cocaine
Cocaine:
- Blocks the dopamine transporter (DAT), preventing reuptake
- Increases synaptic dopamine concentration
Unlike methamphetamine, cocaine acts by blocking DAT rather than reversing it, and does not cause large presynaptic vesicular release — the elevation in synaptic dopamine arises from impaired clearance.
Repeated use leads to:
- Dopamine receptor downregulation
- Enhanced cue reactivity
- Rapid cycling between intoxication and crash
- Strong psychological dependence
Opioids (e.g. heroin, morphine, oxycodone)
Opioids act primarily at mu-opioid receptors (MORs), which are expressed throughout the brain, including in the VTA. Their dopaminergic effects arise through multiple mechanisms:
- MORs on GABAergic interneurons in the VTA suppress inhibitory tone, thereby disinhibiting dopamine neurons (the classical disinhibition mechanism)
- MORs are also expressed on VTA dopamine neurons and projection targets directly, contributing additional excitatory drive beyond the disinhibition pathway
They also act in brainstem respiratory centres, which underlies the risk of respiratory depression in overdose.
Chronic use produces:
- Receptor desensitisation and internalisation
- Reduced endogenous opioid production
- Severe physical withdrawal mediated by noradrenergic rebound in the locus coeruleus
- Strong negative reinforcement (use to avoid withdrawal)
Cannabis
Δ9-tetrahydrocannabinol (THC):
- Activates CB1 receptors (the primary psychoactive cannabinoid receptor)
- Modulates GABA and glutamate release at presynaptic terminals
- Indirectly increases dopamine in NAc via disinhibitory mechanisms
Cannabis produces:
- Altered endocannabinoid system function
- CB1 receptor downregulation with chronic use
- A mild to moderate withdrawal syndrome (irritability, sleep disturbance, appetite changes)
- Effects on hippocampal memory circuits
While addiction risk is generally considered lower than for opioids or stimulants, it remains clinically significant and may be underestimated, particularly given the widespread availability of high-potency THC products (e.g. concentrates and high-THC flower), which are associated with greater dependence risk and more severe withdrawal.
MDMA (Ecstasy)
MDMA:
- Reverses the serotonin transporter (SERT), causing massive serotonin efflux — this is its primary mechanism
- Also increases dopamine and noradrenaline
Neurobiological consequences include:
- Acute empathogenic and entactogenic effects driven by serotonin release
- Post-use serotonin depletion, which may contribute to dysphoria in the days following use
- Potential serotonergic neurotoxicity, though this evidence comes largely from high-dose or repeated animal studies; the clinical significance in typical human recreational use remains under debate and is not definitively established
- Moderate addictive potential relative to psychostimulants, partly because dopaminergic effects are less prominent than with cocaine or methamphetamine
Prescription Psychoactive Medications
Certain prescribed medications also have addictive potential:
Benzodiazepines — Enhance GABA-A receptor activity. Cause tolerance via receptor downregulation. Dependence is primarily a GABAergic adaptation. Withdrawal can be protracted and, in cases of high-dose or long-term use, may produce seizures.
Prescription stimulants — Act via similar mechanisms to amphetamine, increasing dopamine and noradrenaline. Risk of misuse exists in susceptible individuals, though therapeutic doses in appropriately diagnosed patients are associated with substantially lower addiction risk than recreational use.
Behavioural (Process) Addictions
Gambling Disorder
Gambling disorder is recognised in DSM-5-TR as a non-substance-related addictive disorder. Although no substance is ingested, similar neurobiological mechanisms are involved.
Dopamine and reward prediction error — Near misses activate the nucleus accumbens similarly to wins. Variable ratio reinforcement schedules (as in poker machines) generate strong, unpredictable dopamine prediction error signalling that powerfully drives continued behaviour.
Cue reactivity — Gambling-related cues activate the same mesocorticolimbic circuitry as drug cues, with increased striatal activation and reduced prefrontal inhibitory control.
Habit circuitry — A shift from ventral to dorsal striatal control contributes to compulsive betting despite continued losses.
Other Emerging Behavioural Addictions
Conditions such as internet gaming disorder, compulsive sexual behaviour disorder, and problematic social media use share overlapping neurobiological features including:
- Dopamine dysregulation and sensitisation to cue salience
- Reduced executive control
- Stress system activation
However, the evidence base for most of these conditions is still developing, and their classification as formal addictive disorders remains an area of active research and debate. Internet gaming disorder is currently listed in DSM-5-TR as a condition for further study.
Shared Neurobiological Themes Across Addictions
Across substances and behaviours, addiction involves:
- Dopamine sensitisation to cues
- Reduced sensitivity to natural rewards
- Impaired prefrontal inhibitory control
- Stress system overactivation (particularly corticotropin-releasing factor)
- Habit circuitry dominance (dorsal striatum)
- Neuroplastic changes in glutamatergic signalling
Why Some Substances Are More Addictive
Addictive potential is influenced by multiple interacting factors. The speed of dopamine rise is one of the most studied — faster onset of dopamine elevation (e.g. via smoking or intravenous administration) is associated with stronger reinforcement. This framework, developed largely through the work of Volkow and colleagues, has strong empirical support, though it represents a mechanistic model rather than an established universal law. Other important factors include:
- Intensity of dopamine release
- Pharmacokinetics (e.g. route of administration)
- Withdrawal severity (which drives negative reinforcement)
- Social and environmental context
- Genetic vulnerability (heritability of addiction is estimated at 40–60% across substances)
Conclusion
Addiction is not simply about pleasure seeking. It reflects maladaptive neuroplasticity in reward, stress, learning and executive control circuits. While alcohol, methamphetamine, cannabis, opioids, cocaine and MDMA each act through different primary molecular mechanisms, they converge on common neural pathways that drive craving, tolerance, withdrawal and compulsive use. Behavioural addictions such as gambling engage these same circuits despite the absence of an ingested substance.
The neurobiological understanding of addiction continues to evolve, and where evidence is still emerging — particularly regarding emerging behavioural addictions and the long-term neurotoxic effects of substances like MDMA — clinical interpretation should be appropriately cautious.
The Psychology of Gossiping – in a snapshotThe Psychology of Gossiping – in a snapshot
Gossiping is a universal social behaviour that involves the giving and receiving of information about others, generally perceived as having a negative effect on social groups and it is commonly sensationalistic in manner. The psychology of gossiping encompasses various aspects of human behaviour, including social interaction, communication, and interpersonal relationships.
Gossiping serves several psychological functions, such as forming and maintaining social bonds, establishing group norms, and conveying social information. Understanding the psychology of gossiping requires an examination of the underlying motivations, cognitive processes, and social dynamics involved in this behaviour.
One of the primary psychological functions of gossiping is its role in social bonding. According to evolutionary psychologists, gossiping may have evolved as a mechanism for monitoring and regulating social relationships within groups. By sharing information about others, individuals can establish and reinforce alliances, as well as identify potential threats or allies within their social networks. Gossiping also serves as a form of social currency, allowing individuals to exchange information and build rapport with others.
Furthermore, gossiping can be driven by intrinsic motivations related to curiosity and entertainment. People are naturally drawn to stories about others, particularly those involving conflict, romance, or scandal. This inclination toward sensationalistic narratives reflects the human tendency to seek novelty and emotional arousal through storytelling. From a psychological perspective, gossiping can be seen as a means of satisfying these innate cognitive and emotional needs.
In addition to its role in social bonding and entertainment, gossiping serves as a mechanism for transmitting social information and enforcing group norms. Through gossip, individuals communicate expectations and judgements regarding behaviour, values, and social roles within their communities. Gossip can function as a form of informal social control by publicly sanctioning or condemning certain behaviours, thereby influencing the conduct of group members.
The psychology of gossiping involves considerations of ethical and moral implications. While gossip can facilitate social cohesion and information sharing, it can also lead to negative consequences such as reputational damage, interpersonal conflict, disharmony, and breaches of privacy. Understanding the psychological mechanisms underlying gossiping can shed light on the ethical dilemmas associated with this behaviour and inform strategies for promoting responsible communication within social contexts.
Gossiping can indeed be malicious, as it involves spreading rumors or information about others that may be harmful, untrue, or damaging to their reputation. Malicious gossip can have serious consequences for the individuals involved, leading to damaged relationships, loss of trust, and even psychological harm. It is important to understand the impact of malicious gossip and the ethical considerations surrounding the spread of such information.
Malicious gossip is often driven by negative intentions, such as jealousy, resentment, or a desire to harm someone’s reputation. It can take various forms, including spreading false information about an individual’s personal life, career, or character. In some cases, malicious gossip may be used as a tool for bullying or manipulation, with the intent to undermine someone’s social standing or credibility.
The effects of malicious gossip can be far-reaching. It can lead to strained relationships, social ostracism, and damage to one’s professional reputation. In extreme cases, it can even result in legal action if the spread of false information causes tangible harm to an individual’s livelihood or well-being.
In summary, the psychology of gossiping encompasses various psychological functions, including its role in social bonding, entertainment, information transmission, and norm enforcement. By examining the underlying motivations, cognitive processes, and social dynamics involved in gossiping, researchers can gain insights into the complexities of human social behavior and interpersonal communication.
References:
Adler, R., & Proctor II, R. F. (2014). Looking out/looking in (14th ed.). Cengage Learning. (Print)
Dunbar, R.I.M. “Gossip in Evolutionary Perspective.” Review of General Psychology (Print)
Foster E.K., & Campbell W.K. “The Psychology of Gossip: A Review.” Social Psychological Review (Print)
Kniffin K.M., & Wilson D.S. “Evolutionary Perspectives on Gossip.” Social Psychology Quarterly (Print)
Kowalski, R. M., Limber, S. P., & Agatston, P. W. (2012). Cyberbullying: Bullying in the digital age (2nd ed.). Wiley-Blackwell. (Print)
Manning, J., & Levine, L. J. (2016). The psychology of social media: Why we like, share, comment and keep coming back. Routledge. (Print)
Robbins M.L., & Karan A. “Gossip: The Good, The Bad & The Ugly.” Journal of Applied Social Psychology (Print)
Salmivalli, C., & Graham-Kevan, N. (Eds.). (2019). Intimate partner violence: New perspectives in research and practice. Routledge. (Print)
Smith, P., & Steffgen, G. (Eds.). (2013). Cyberbullying through the new media: Findings from an international network. Psychology Press. (Print)
Sommerfeld R.D., & Jordan J.J. “The Evolutionary Foundations of Gossip.” Biological Theory (Print)
