Global variation in diabetes diagnosis and prevalence based on fasting glucose and hemoglobin A1c
- Zhou, Bin, Sheffer, Kate, Bennett, James, Gregg, Edward, Danaei, Goodarz, Singleton, Rosie, Shaw, Jonathan, Mishra, Anu, Lhoste, Victor, Carrillo-Larco, Rodrigo, Kengne, Andre, Phelps, Nowell, Heap, Rachel, Rayner, Archie, Stevens, Gretchen, Paciorek, Chris, Riley, Leanne, Cowan, Melanie, Savin, Stefan, Vander Hoorn, Stephen, Lu, Yuan, Pavkov, Meda, Imperatore, Giuseppina, Aguilar-Salinas, Carlos, Ahmad, Noor, Anjana, Ranjit, Davletov, Kairat, Farzadfar, Farshad, González-Villalpando, Clicerio, Charchar, Fadi
- Authors: Zhou, Bin , Sheffer, Kate , Bennett, James , Gregg, Edward , Danaei, Goodarz , Singleton, Rosie , Shaw, Jonathan , Mishra, Anu , Lhoste, Victor , Carrillo-Larco, Rodrigo , Kengne, Andre , Phelps, Nowell , Heap, Rachel , Rayner, Archie , Stevens, Gretchen , Paciorek, Chris , Riley, Leanne , Cowan, Melanie , Savin, Stefan , Vander Hoorn, Stephen , Lu, Yuan , Pavkov, Meda , Imperatore, Giuseppina , Aguilar-Salinas, Carlos , Ahmad, Noor , Anjana, Ranjit , Davletov, Kairat , Farzadfar, Farshad , González-Villalpando, Clicerio , Charchar, Fadi
- Date: 2023
- Type: Text , Journal article
- Relation: Nature Medicine Vol. 29, no. 11 (2023), p. 2885-2901
- Full Text:
- Reviewed:
- Description: Fasting plasma glucose (FPG) and hemoglobin A1c (HbA1c) are both used to diagnose diabetes, but these measurements can identify different people as having diabetes. We used data from 117 population-based studies and quantified, in different world regions, the prevalence of diagnosed diabetes, and whether those who were previously undiagnosed and detected as having diabetes in survey screening, had elevated FPG, HbA1c or both. We developed prediction equations for estimating the probability that a person without previously diagnosed diabetes, and at a specific level of FPG, had elevated HbA1c, and vice versa. The age-standardized proportion of diabetes that was previously undiagnosed and detected in survey screening ranged from 30% in the high-income western region to 66% in south Asia. Among those with screen-detected diabetes with either test, the age-standardized proportion who had elevated levels of both FPG and HbA1c was 29–39% across regions; the remainder had discordant elevation of FPG or HbA1c. In most low- and middle-income regions, isolated elevated HbA1c was more common than isolated elevated FPG. In these regions, the use of FPG alone may delay diabetes diagnosis and underestimate diabetes prevalence. Our prediction equations help allocate finite resources for measuring HbA1c to reduce the global shortfall in diabetes diagnosis and surveillance. © 2023, The Author(s). **Please note that there are multiple authors for this article therefore only the name of the first 30 including Federation University Australia affiliate “Fadi Charchar" is provided in this record**
- Authors: Zhou, Bin , Sheffer, Kate , Bennett, James , Gregg, Edward , Danaei, Goodarz , Singleton, Rosie , Shaw, Jonathan , Mishra, Anu , Lhoste, Victor , Carrillo-Larco, Rodrigo , Kengne, Andre , Phelps, Nowell , Heap, Rachel , Rayner, Archie , Stevens, Gretchen , Paciorek, Chris , Riley, Leanne , Cowan, Melanie , Savin, Stefan , Vander Hoorn, Stephen , Lu, Yuan , Pavkov, Meda , Imperatore, Giuseppina , Aguilar-Salinas, Carlos , Ahmad, Noor , Anjana, Ranjit , Davletov, Kairat , Farzadfar, Farshad , González-Villalpando, Clicerio , Charchar, Fadi
- Date: 2023
- Type: Text , Journal article
- Relation: Nature Medicine Vol. 29, no. 11 (2023), p. 2885-2901
- Full Text:
- Reviewed:
- Description: Fasting plasma glucose (FPG) and hemoglobin A1c (HbA1c) are both used to diagnose diabetes, but these measurements can identify different people as having diabetes. We used data from 117 population-based studies and quantified, in different world regions, the prevalence of diagnosed diabetes, and whether those who were previously undiagnosed and detected as having diabetes in survey screening, had elevated FPG, HbA1c or both. We developed prediction equations for estimating the probability that a person without previously diagnosed diabetes, and at a specific level of FPG, had elevated HbA1c, and vice versa. The age-standardized proportion of diabetes that was previously undiagnosed and detected in survey screening ranged from 30% in the high-income western region to 66% in south Asia. Among those with screen-detected diabetes with either test, the age-standardized proportion who had elevated levels of both FPG and HbA1c was 29–39% across regions; the remainder had discordant elevation of FPG or HbA1c. In most low- and middle-income regions, isolated elevated HbA1c was more common than isolated elevated FPG. In these regions, the use of FPG alone may delay diabetes diagnosis and underestimate diabetes prevalence. Our prediction equations help allocate finite resources for measuring HbA1c to reduce the global shortfall in diabetes diagnosis and surveillance. © 2023, The Author(s). **Please note that there are multiple authors for this article therefore only the name of the first 30 including Federation University Australia affiliate “Fadi Charchar" is provided in this record**
Anemia prevalence in women of reproductive age in low- and middle-income countries between 2000 and 2018
- Kinyoki, Damaris, Osgood-Zimmerman, Aaron, Bhattacharjee, Natalia, Schaeffer, Lauren, Lazzar-Atwood, Alice, Lu, Dan, Ewald, Samuel, Donkers, Katie, Letourneau, Ian, Collison, Michael, Schipp, Megan, Abajobir, Amanuel, Abbasi, Sima, Abbasi, Nooshin, Abbasifard, Mitra, Abbasi-Kangevari, Mohsen, Abbastabar, Hedayat, Abd-Allah, Foad, Abdelalim, Ahmed, Abd-Elsalam, Sherief, Abdoli, Amir, Abdollahpour, Ibrahim, Abedi, Aidin, Abolhassani, Hassan, Abraham, Biju, Abreu, Lucas, Abrigo, Michael, Abualhasan, Ahmed, Abu-Gharbieh, Eman, Rahman, Muhammad Aziz
- Authors: Kinyoki, Damaris , Osgood-Zimmerman, Aaron , Bhattacharjee, Natalia , Schaeffer, Lauren , Lazzar-Atwood, Alice , Lu, Dan , Ewald, Samuel , Donkers, Katie , Letourneau, Ian , Collison, Michael , Schipp, Megan , Abajobir, Amanuel , Abbasi, Sima , Abbasi, Nooshin , Abbasifard, Mitra , Abbasi-Kangevari, Mohsen , Abbastabar, Hedayat , Abd-Allah, Foad , Abdelalim, Ahmed , Abd-Elsalam, Sherief , Abdoli, Amir , Abdollahpour, Ibrahim , Abedi, Aidin , Abolhassani, Hassan , Abraham, Biju , Abreu, Lucas , Abrigo, Michael , Abualhasan, Ahmed , Abu-Gharbieh, Eman , Rahman, Muhammad Aziz
- Date: 2021
- Type: Text , Journal article
- Relation: Nature Medicine Vol. 27, no. 10 (2021), p. 1761-1782
- Full Text:
- Reviewed:
- Description: Anemia is a globally widespread condition in women and is associated with reduced economic productivity and increased mortality worldwide. Here we map annual 2000–2018 geospatial estimates of anemia prevalence in women of reproductive age (15–49 years) across 82 low- and middle-income countries (LMICs), stratify anemia by severity and aggregate results to policy-relevant administrative and national levels. Additionally, we provide subnational disparity analyses to provide a comprehensive overview of anemia prevalence inequalities within these countries and predict progress toward the World Health Organization’s Global Nutrition Target (WHO GNT) to reduce anemia by half by 2030. Our results demonstrate widespread moderate improvements in overall anemia prevalence but identify only three LMICs with a high probability of achieving the WHO GNT by 2030 at a national scale, and no LMIC is expected to achieve the target in all their subnational administrative units. Our maps show where large within-country disparities occur, as well as areas likely to fall short of the WHO GNT, offering precision public health tools so that adequate resource allocation and subsequent interventions can be targeted to the most vulnerable populations. **Please note that there are multiple authors for this article therefore only the name of the first 30 including Federation University Australia affiliate “Muhammad Aziz Rahman” is provided in this record**
- Authors: Kinyoki, Damaris , Osgood-Zimmerman, Aaron , Bhattacharjee, Natalia , Schaeffer, Lauren , Lazzar-Atwood, Alice , Lu, Dan , Ewald, Samuel , Donkers, Katie , Letourneau, Ian , Collison, Michael , Schipp, Megan , Abajobir, Amanuel , Abbasi, Sima , Abbasi, Nooshin , Abbasifard, Mitra , Abbasi-Kangevari, Mohsen , Abbastabar, Hedayat , Abd-Allah, Foad , Abdelalim, Ahmed , Abd-Elsalam, Sherief , Abdoli, Amir , Abdollahpour, Ibrahim , Abedi, Aidin , Abolhassani, Hassan , Abraham, Biju , Abreu, Lucas , Abrigo, Michael , Abualhasan, Ahmed , Abu-Gharbieh, Eman , Rahman, Muhammad Aziz
- Date: 2021
- Type: Text , Journal article
- Relation: Nature Medicine Vol. 27, no. 10 (2021), p. 1761-1782
- Full Text:
- Reviewed:
- Description: Anemia is a globally widespread condition in women and is associated with reduced economic productivity and increased mortality worldwide. Here we map annual 2000–2018 geospatial estimates of anemia prevalence in women of reproductive age (15–49 years) across 82 low- and middle-income countries (LMICs), stratify anemia by severity and aggregate results to policy-relevant administrative and national levels. Additionally, we provide subnational disparity analyses to provide a comprehensive overview of anemia prevalence inequalities within these countries and predict progress toward the World Health Organization’s Global Nutrition Target (WHO GNT) to reduce anemia by half by 2030. Our results demonstrate widespread moderate improvements in overall anemia prevalence but identify only three LMICs with a high probability of achieving the WHO GNT by 2030 at a national scale, and no LMIC is expected to achieve the target in all their subnational administrative units. Our maps show where large within-country disparities occur, as well as areas likely to fall short of the WHO GNT, offering precision public health tools so that adequate resource allocation and subsequent interventions can be targeted to the most vulnerable populations. **Please note that there are multiple authors for this article therefore only the name of the first 30 including Federation University Australia affiliate “Muhammad Aziz Rahman” is provided in this record**
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