Number and percentage of persons having been diagnosed with diabetes, by age group and sex.

This table contains 205632 series, with data for years 2005 - 2005 (not all combinations necessarily have data for all years). This table contains data described by the following dimensions (Not all combinations are available): Geography (160 items: Canada; Central Regional Integrated Health Authority; Newfoundland and Labrador; Eastern Regional Integrated Health Authority; Newfoundland and Labrador; Newfoundland and Labrador ...) Age group (14 items: Total; 12 years and over; 12 to 19 years; 15 to 19 years; 12 to 14 years ...) Sex (3 items: Both sexes; Females; Males ...) Diabetes (4 items: Total population for the variable diabetes; Without diabetes; Diabetes; not stated; With diabetes ...) Characteristics (8 items: Number of persons; Low 95% confidence interval; number of persons; High 95% confidence interval; number of persons; Coefficient of variation for number of persons ...).

BackgroundA pervasive and persistent finding is the health disadvantage experienced by those in food insecure households. While clear associations have been identified between food insecurity and diabetes risk factors, less is known about the relationship between food insecurity and incident type 2 diabetes. The objective of this study is to investigate the association between household food insecurity and the future development of type 2 diabetes.MethodsWe used data from Ontario adult respondents to the 2004 Canadian Community Health Survey, linked to health administrative data (n = 4,739). Food insecurity was assessed with the Household Food Security Survey Module and incident type 2 diabetes cases were identified by the Ontario Diabetes Database. Multivariable adjusted Cox proportional hazards models were used to estimate hazard ratios (HRs) and 95% confidence intervals (CIs) for type 2 diabetes as a function of food insecurity.ResultsCanadians in food insecure households had more than 2 times the risk of developing type 2 diabetes compared to those in food secure households [HR = 2.40, 95% CI = 1.17–4.94]. Additional adjustment for BMI attenuated the association between food insecurity and type 2 diabetes [HR = 2.08, 95% CI = 0.99, 4.36].ConclusionsOur findings indicate that food insecurity is independently associated with increased diabetes risk, even after adjustment for a broad set of measured confounders. Examining diabetes risk from a broader perspective, including a comprehensive understanding of socioeconomic and biological pathways is paramount for informing policies and interventions aimed at mitigating the future burden of type 2 diabetes.

Canada CA: Diabetes Prevalence: % of Population Aged 20-79 data was reported at 7.700 % in 2021. This records a decrease from the previous number of 8.400 % for 2011. Canada CA: Diabetes Prevalence: % of Population Aged 20-79 data is updated yearly, averaging 8.050 % from Dec 2011 (Median) to 2021, with 2 observations. The data reached an all-time high of 8.400 % in 2011 and a record low of 7.700 % in 2021. Canada CA: Diabetes Prevalence: % of Population Aged 20-79 data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Canada – Table CA.World Bank.WDI: Social: Health Statistics. Diabetes prevalence refers to the percentage of people ages 20-79 who have type 1 or type 2 diabetes. It is calculated by adjusting to a standard population age-structure.;International Diabetes Federation, Diabetes Atlas.;Weighted average;

This table contains 14784 series, with data for years 1994 - 1998 (not all combinations necessarily have data for all years). This table contains data described by the following dimensions (not all combinations are available): Geography (11 items: Canada; Newfoundland and Labrador; Prince Edward Island; Nova Scotia ...), Age group (14 items: Total; 12 years and over; 15-19 years; 12-19 years; 12-14 years ...), Sex (3 items: Both sexes; Males; Females ...), Diabetes (4 items: Total population for the variable diabetes ;With diabetes; Without diabetes; Diabetes; not stated ...), Characteristics (8 items: Number of persons; Low 95% confidence interval - number of persons; High 95% confidence interval - number of persons; Coefficient of variation for number of persons ...).

This table contains 267456 series, with data for years 2000 - 2000 (not all combinations necessarily have data for all years). This table contains data described by the following dimensions (not all combinations are available): Geography (199 items: Canada; Newfoundland and Labrador; Health and Community Services St. John's Region; Newfoundland and Labrador (Peer group H); Health and Community Services Eastern Region; Newfoundland and Labrador (Peer group D) ...), Age group (14 items: Total; 12 years and over; 12-19 years; 12-14 years; 15-19 years ...), Sex (3 items: Both sexes; Males; Females ...), Diabetes (4 items: Total population for the variable diabetes; Without diabetes; Diabetes; not stated; With diabetes ...), Characteristics (8 items: Number of persons; High 95% confidence interval - number of persons; Coefficient of variation for number of persons; Low 95% confidence interval - number of persons ...).

This table contains 6720 series, with data for years 1994 - 1998 (not all combinations necessarily have data for all years). This table contains data described by the following dimensions (Not all combinations are available): Geography (5 items: Territories; Northwest Territories; Northwest Territories including Nunavut; Yukon ...), Age group (14 items: Total; 12 years and over;12-14 years;12-19 years;15-19 years ...), Sex (3 items: Both sexes; Females; Males ...), Diabetes (4 items: Total population for the variable diabetes; Without diabetes; With diabetes; Diabetes; not stated ...), Characteristics (8 items: Number of persons; Coefficient of variation for number of persons; High 95% confidence interval - number of persons; Low 95% confidence interval - number of persons ...).

Rationale:

The accrual of data from the laboratory and from epidemiologic and prevention trials has improved the understanding of the etiology and pathogenesis of type 1 diabetes mellitus (T1DM). Genetic and immunologic factors play a key role in the development of T1DM, and characterization of the early metabolic abnormalities in T1DM is steadily increasing. However, information regarding the natural history of T1DM remains incomplete. The TrialNet Natural History Study of the Development of T1DM (Pathway to Prevention Study) has been designed to clarify this picture, and in so doing, will contribute to the development and implementation of studies aimed at prevention of and early treatment in T1DM.

Purpose:

TrialNet is an international network dedicated to the study, prevention, and early treatment of type 1 diabetes. TrialNet sites are located throughout the United States, Canada, Finland, United Kingdom, Italy, Germany, Sweden, Australia, and New Zealand. TrialNet is dedicated to testing new approaches to the prevention of and early intervention for type 1 diabetes.

The goal of the TrialNet Natural History Study of the Development of Type 1 Diabetes is to enhance our understanding of the demographic, immunologic, and metabolic characteristics of individuals at risk for developing type 1 diabetes.

The Natural History Study will screen relatives of people with type 1 diabetes to identify those at risk for developing the disease. Relatives of people with type 1 diabetes have about a 5% percent chance of being positive for the antibodies associated with diabetes. TrialNet will identify adults and children at risk for developing diabetes by testing for the presence of these antibodies in the blood. A positive antibody test is an early indication that damage to insulin-secreting cells may have begun. If this test is positive, additional testing will be offered to determine the likelihood that a person may develop diabetes. Individuals with antibodies will be offered the opportunity for further testing to determine their risk of developing diabetes over the next 5 years and to receive close monitoring for the development of diabetes.

Rank, number of deaths, percentage of deaths, and age-specific mortality rates for the leading causes of death, by age group and sex, 2000 to most recent year.

This table contains 205632 series, with data for years 2005 - 2005 (not all combinations necessarily have data for all years). This table contains data described by the following dimensions (Not all combinations are available): Geography (160 items: Canada; Central Regional Integrated Health Authority; Newfoundland and Labrador; Eastern Regional Integrated Health Authority; Newfoundland and Labrador; Newfoundland and Labrador ...) Age group (14 items: Total; 12 years and over; 12 to 19 years; 15 to 19 years; 12 to 14 years ...) Sex (3 items: Both sexes; Females; Males ...) Diabetes (4 items: Total population for the variable diabetes; Without diabetes; Diabetes; not stated; With diabetes ...) Characteristics (8 items: Number of persons; Low 95% confidence interval; number of persons; High 95% confidence interval; number of persons; Coefficient of variation for number of persons ...).

The Canadian self-monitoring blood glucose (SMBG) market, valued at $391.84 million in 2025, is projected to experience robust growth, driven by the increasing prevalence of diabetes and improved diagnostic technologies. The market's Compound Annual Growth Rate (CAGR) of 6.71% from 2017 to 2028 indicates a consistent upward trajectory. Key market drivers include the rising diabetic population in Canada, coupled with government initiatives promoting early diagnosis and effective diabetes management. Technological advancements, such as the development of more user-friendly and accurate glucometers, along with the introduction of continuous glucose monitoring (CGM) systems, are further fueling market expansion. While the market faces restraints such as high healthcare costs and potential reimbursement challenges, these are largely offset by the growing awareness of diabetes' long-term complications and the increasing adoption of preventative measures. The market is segmented by components – glucometer devices, test strips, and lancets – each contributing significantly to the overall market value. Leading players like Abbott Diabetes Care, Roche Holding AG, and LifeScan are leveraging their established brand reputation and technological expertise to maintain a strong market presence. Competitive intensity is expected to increase with the entry of smaller companies introducing innovative products and services, particularly in the CGM segment. The forecast period from 2025 to 2033 anticipates continued growth in the Canadian SMBG market. This expansion will be primarily influenced by the increasing geriatric population, a significant demographic vulnerable to diabetes. Ongoing research and development efforts aimed at improving accuracy, portability, and cost-effectiveness of SMBG devices are anticipated to drive adoption rates. Furthermore, the growing adoption of telehealth and remote patient monitoring solutions will also contribute to market expansion. The evolving landscape of diabetes management, encompassing personalized medicine approaches and improved patient education, creates a favorable environment for sustained growth throughout the forecast period. However, pricing pressures and the need for regulatory approvals remain crucial considerations for market participants. Recent developments include: January, 2023: LifeScan announced that the peer-reviewed Journal of Diabetes Science and Technology published Improved Glycemic Control Using a Bluetooth Connected Blood Glucose Meter and a Mobile Diabetes App: Real-World Evidence From Over 144,000 People With Diabetes, detailing results from a retrospective analysis of real-world data from over 144,000 people with diabetes-one of the largest combined blood glucose meter and mobile diabetes app datasets ever published., January 20, 2022: Roche launched its new point-of-care blood glucose monitor designed for hospital professionals with a companion device shaped like a touchscreen smartphone that will run its own apps. The hand-held COBAS Pulse includes an automated glucose test strip reader as well as a camera and touchscreen for logging other diagnostic results. It's designed to be used with patients of all ages, including neonates and people in intensive care.. Notable trends are: Rising Diabetes Prevalence in Canada.

This table contains 224448 series, with data for years 2003 - 2003 (not all combinations necessarily have data for all years). This table contains data described by the following dimensions (Not all combinations are available): Geography (167 items: Canada; Health and Community Services Eastern Region; Newfoundland and Labrador; Health and Community Services St. John's Region; Newfoundland and Labrador; Newfoundland and Labrador ...) Age group (14 items: Total; 12 years and over; 12 to 19 years; 12 to 14 years; 15 to 19 years ...) Sex (3 items: Both sexes; Females; Males ...) Diabetes (4 items: Total population for the variable diabetes; With diabetes; Diabetes; not stated; Without diabetes ...) Characteristics (8 items: Number of persons; High 95% confidence interval; number of persons; Coefficient of variation for number of persons; Low 95% confidence interval; number of persons ...).

This table contains 6720 series, with data for years 1994 - 1998 (not all combinations necessarily have data for all years). This table contains data described by the following dimensions (Not all combinations are available): Geography (5 items: Territories; Northwest Territories; Northwest Territories including Nunavut; Yukon ...), Age group (14 items: Total; 12 years and over;12-14 years;12-19 years;15-19 years ...), Sex (3 items: Both sexes; Females; Males ...), Diabetes (4 items: Total population for the variable diabetes; Without diabetes; With diabetes; Diabetes; not stated ...), Characteristics (8 items: Number of persons; Coefficient of variation for number of persons; High 95% confidence interval - number of persons; Low 95% confidence interval - number of persons ...).

Ketones are a type of waste product that the body creates when it breaks down fat to use for energy. If ketones begin to build up to toxic levels in the blood (a condition known as diabetic ketoacidosis) it can lead to symptoms such as difficulties in breathing, stomach pain, nausea and vomiting, confusion, tiredness, loss of appetite, and excessive thirst. It can lead to a coma in extreme cases. Diabetic ketoacidosis can happen to anyone with diabetes but it is more common in those with type 1 diabetes, and quite rare in people with type 2 diabetes.

This table provides the age-standardized inpatient separation rates per 100,000 population for selected conditions. An inpatient separation from a health care facility occurs anytime a patient (or resident) leaves because of death, discharge, sign-out against medical advice or transfer. The number of separations is the most commonly used measure of the utilization of hospital services. Separations, rather than admissions, are used because hospital abstracts for inpatient care are based on information gathered at the time of discharge. The selected conditions are Asthma, Diabetes, Influenza, Ischemic Heart Diseases, Mental and Behavioural Disorders due to Psychoactive Substance Use, Pneumonia, Pulmonary Heart and Pulmonary Circulation Diseases. Age standardization is a technique applied to make rates comparable across groups with different age distributions. A simple rate is defined as the number of people with a particular condition divided by the whole population. An age-standardized rate is defined as the number of people with a condition divided by the population within each age group. Standardizing (adjusting) the rate across age groups allows a more accurate comparison between populations that have different age structures. Age standardization is typically done when comparing rates across time periods, different geographic areas, and or population sub-groups (e.g. ethnic group). This indicator dataset contains information at both Local Geographic Area (for example, Lacombe, Red Deer, Calgary West Bow, etc.) and Alberta levels. Local geographic area refers to 132 geographic areas created by Alberta Health (AH) and Alberta Health Services (AHS) based on census boundaries. This table is the part of "Alberta Health Primary Health Care - Community Profiles" report published March 2015.

This table provides the age-standardized inpatient separation rates per 100,000 population for selected conditions. An inpatient separation from a health care facility occurs anytime a patient (or resident) leaves because of death, discharge, sign-out against medical advice or transfer. The number of separations is the most commonly used measure of the utilization of hospital services. Separations, rather than admissions, are used because hospital abstracts for inpatient care are based on information gathered at the time of discharge. The selected conditions are Asthma, Diabetes, Influenza, Ischemic Heart Diseases, Mental and Behavioural Disorders due to Psychoactive Substance Use, Pneumonia, Pulmonary Heart and Pulmonary Circulation Diseases. Age standardization is a technique applied to make rates comparable across groups with different age distributions. A simple rate is defined as the number of people with a particular condition divided by the whole population. An age-standardized rate is defined as the number of people with a condition divided by the population within each age group. Standardizing (adjusting) the rate across age groups allows a more accurate comparison between populations that have different age structures. Age standardization is typically done when comparing rates across time periods, different geographic areas, and or population sub-groups (e.g. ethnic group). This indicator dataset contains information at both Local Geographic Area (for example, Lacombe, Red Deer, Calgary West Bow, etc.) and Alberta levels. Local geographic area refers to 132 geographic areas created by Alberta Health (AH) and Alberta Health Services (AHS) based on census boundaries. This table is the part of "Alberta Health Primary Health Care - Community Profiles" report published February 2013.

This figure provides the age-standardized inpatient separation rates per 100,000 population for selected conditions. An inpatient separation from a health care facility occurs anytime a patient (or resident) leaves because of death, discharge, sign-out against medical advice or transfer. The number of separations is the most commonly used measure of the utilization of hospital services. Separations, rather than admissions, are used because hospital abstracts for inpatient care are based on information gathered at the time of discharge. The selected conditions are Asthma, Diabetes, Influenza, Ischemic Heart Diseases, Mental and Behavioural Disorders due to Psychoactive Substance Use, Pneumonia, Pulmonary Heart and Pulmonary Circulation Diseases. Age standardization is a technique applied to make rates comparable across groups with different age distributions. A simple rate is defined as the number of people with a particular condition divided by the whole population. An age-standardized rate is defined as the number of people with a condition divided by the population within each age group. Standardizing (adjusting) the rate across age groups allows a more accurate comparison between populations that have different age structures. Age standardization is typically done when comparing rates across time periods, different geographic areas, and or population sub-groups (e.g. ethnic group). This indicator dataset contains information at both Local Geographic Area (for example, Lacombe, Red Deer, Calgary West Bow, etc.) and Alberta levels. Local geographic area refers to 132 geographic areas created by Alberta Health (AH) and Alberta Health Services (AHS) based on census boundaries. This table is the part of "Alberta Health Primary Health Care - Community Profiles" report published March 2019.