The line chart below shows the prevalence of diabetes among adults aged 18 years and older in four different countries (Australia, Canada, India, and South Africa) from 1980 to 2021. Summarise the information by selecting and reporting the main features, and make comparisons where relevant

The line chart below shows the prevalence of diabetes among adults aged 18 years and older in four different countries (Australia, Canada, India, and South Africa) from 1980 to 2021. Summarise the information by selecting and reporting the main features, and make comparisons where relevant
The line graph illustrates data regarding diabetes prevalence among
adult
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the adult
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population from four different countries from 1980 to 2021. Generally speaking,
it is clear that
the
overall
incidence has dramatically increased in the considered time period, albeit with specific trends for each country. First off, in 1980 diabetic patients were less prevalent in India,
while
more increasingly numerous in South Africa, Australia, and Canada respectively.
However
, the Asian state faced a steep and constant increase in the percentage of individuals affected, skyrocketing from 2 to roughly 14 between 1980 and 2021.
Thus
, it became the first country for the prevalence of
this
disorder.
Similarly
, the number of African patients surged from 4 to 14 in 40 years.
On the other hand
, the Australian cohort faced only a moderate growth in the rate of the condition, which approximately doubled in the given temporal interval, reaching its peak of 10 in 2021.
Finally
, Canada which had the highest prevalence of patients at the beginning of the study period, rose by 7, following India and South Africa at the conclusion of the given interval.
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Topic Vocabulary:
  • prevalence
  • demographics
  • trend
  • fluctuate
  • peak
  • decline
  • steady
  • notable
  • significant
  • comparative analysis
  • percentage
  • rate
  • survey
  • longitudinal study
  • chronic disease
  • healthcare advancements
  • lifestyle changes
  • dietary habits
  • public health initiatives
  • risk factors
  • epidemiology
  • data analysis
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