Skip to main content
Top
Published in: BMC Public Health 1/2024

Open Access 01-12-2024 | Hypertension | Research

Additive interaction of family medical history of diabetes with hypertension on the diagnosis of diabetes among older adults in India: longitudinal ageing study in India

Author: Waquar Ahmed

Published in: BMC Public Health | Issue 1/2024

Login to get access

Abstract

Background

The present study aimed to estimate the additive interaction of family history of diabetes and hypertension on the diagnosis of diabetes among individuals aged 45 years and above in India. The coexistence of these two exposures may act synergistically on the risk of diabetes, leading to adverse health outcomes.

Methods

The study utilized the data from the Longitudinal Ageing Study in India (LASI) Wave 1 (2017–2018). The total sample size for the current study was 58,612 individuals aged 45 years and above. Multivariable logistic regression models were employed to determine the individual and joint effect of a family history of diabetes with hypertension on diabetes. An additive model was applied to assess the interaction effect of the family medical history of diabetes with hypertension on the diagnosis of diabetes by calculating three different measures of additive interaction such as the relative excess risk due to interaction (RERI), attribution proportion due to interaction (AP), and synergy index (S).

Results

The prevalence of diabetes was three times higher among individuals with family history of diabetes (27.8% vs. 9.2%) than those without family history. Individuals with family history of diabetes (AOR: 2.47, CI: 2.11 2.89) had 2.47 times higher odds of having diabetes than those without family history. The prevalence of diabetes was significantly higher among individuals with hypertension and family history of diabetes (46.6%, 95% CI: 39.7–53.6) than those without the coexistence of family history of diabetes and hypertension (9.9%, 95% CI: 9.5–10.4), individuals with hypertension and without a family history of diabetes (22.7%, 95% CI: 21.2–24.2), and individuals with family history of diabetes and without hypertension (16.5%, 95% CI: 14.5–18.7). Moreover, the adjusted odds ratio (AOR) of the joint effect between family medical history of diabetes and hypertension on diabetes was 9.28 (95% CI: 7.51–11.46). In the adjusted model, the RERI, AP, and S for diabetes were 3.5 (95% CI: 1.52–5.47), 37% (0.37; 95% CI: 0.22–0.51), and 1.69 (95% CI: 1.31–2.18) respectively, which indicates that there is a significant positive interaction between family history of diabetes and hypertension on the diagnosis of diabetes. The study findings on interaction effects further demonstrate consistent results for two models of hypertension (self-reported hypertension and hypertensive individuals receiving medication) even after adjustment with potential confounding factors on diabetes (self-reported diabetes and individuals with diabetes receiving medication).

Conclusions

The study findings strongly suggest that the interaction of family history of diabetes with hypertension has a positive and significant effect on the risk of diabetes even after adjustment with potential confounding factors. Furthermore, the findings indicate a synergistic effect, emphasizing the importance of considering both family medical history of diabetes and hypertension when assessing diabetes risk and designing preventive strategies or interventions.
Literature
1.
go back to reference Almgren P, Lehtovirta M, Isomaa B, Sarelin L, Taskinen MR, Lyssenko V, et al. Heritability and familiality of type 2 diabetes and related quantitative traits in the Botnia Study. Diabetologia. 2011;54(11):2811–9.CrossRefPubMed Almgren P, Lehtovirta M, Isomaa B, Sarelin L, Taskinen MR, Lyssenko V, et al. Heritability and familiality of type 2 diabetes and related quantitative traits in the Botnia Study. Diabetologia. 2011;54(11):2811–9.CrossRefPubMed
2.
go back to reference Poulsen P, Kyvik KO, Vaag A, Beck-Nielsen H. Heritability of type II (non-insulin-dependent) diabetes mellitus and abnormal glucose tolerance–a population-based twin study. Diabetologia. 1999;42(2):139–45.CrossRefPubMed Poulsen P, Kyvik KO, Vaag A, Beck-Nielsen H. Heritability of type II (non-insulin-dependent) diabetes mellitus and abnormal glucose tolerance–a population-based twin study. Diabetologia. 1999;42(2):139–45.CrossRefPubMed
3.
go back to reference Tsao CW, Aday AW, Almarzooq ZI, Anderson CAM, Arora P, Avery CL, et al. Heart Disease and Stroke Statistics—2023 update: a Report from the American Heart Association. Circulation. 2023;147(8):e93–621.CrossRefPubMed Tsao CW, Aday AW, Almarzooq ZI, Anderson CAM, Arora P, Avery CL, et al. Heart Disease and Stroke Statistics—2023 update: a Report from the American Heart Association. Circulation. 2023;147(8):e93–621.CrossRefPubMed
4.
go back to reference Annis AM, Caulder MS, Cook ML, Duquette D. Family History, Diabetes, and other demographic and risk factors among participants of the National Health and Nutrition Examination Survey 1999–2002. Prev Chronic Dis. 2005;2(2):A19.PubMedPubMedCentral Annis AM, Caulder MS, Cook ML, Duquette D. Family History, Diabetes, and other demographic and risk factors among participants of the National Health and Nutrition Examination Survey 1999–2002. Prev Chronic Dis. 2005;2(2):A19.PubMedPubMedCentral
5.
go back to reference Dorman JS, Valdez R, Liu T, Wang C, Rubinstein WS, O’Neill SM, et al. Health beliefs among individuals at increased familial risk for type 2 diabetes: implications for prevention. Diabetes Res Clin Pract. 2012;96(2):156–62.CrossRefPubMedPubMedCentral Dorman JS, Valdez R, Liu T, Wang C, Rubinstein WS, O’Neill SM, et al. Health beliefs among individuals at increased familial risk for type 2 diabetes: implications for prevention. Diabetes Res Clin Pract. 2012;96(2):156–62.CrossRefPubMedPubMedCentral
6.
go back to reference Valdez R, Yoon PW, Liu T, Khoury MJ. Family history and prevalence of diabetes in the US population: the 6-year results from the National Health and Nutrition Examination Survey (1999–2004). Diabetes Care. 2007;30(10):2517–22.CrossRefPubMed Valdez R, Yoon PW, Liu T, Khoury MJ. Family history and prevalence of diabetes in the US population: the 6-year results from the National Health and Nutrition Examination Survey (1999–2004). Diabetes Care. 2007;30(10):2517–22.CrossRefPubMed
7.
go back to reference Hariri S, Yoon PW, Moonesinghe R, Valdez R, Khoury MJ. Evaluation of family history as a risk factor and screening tool for detecting undiagnosed diabetes in a nationally representative survey population. Genet Med off J Am Coll Med Genet. 2006;8(12):752–9. Hariri S, Yoon PW, Moonesinghe R, Valdez R, Khoury MJ. Evaluation of family history as a risk factor and screening tool for detecting undiagnosed diabetes in a nationally representative survey population. Genet Med off J Am Coll Med Genet. 2006;8(12):752–9.
8.
go back to reference Hariri S, Yoon PW, Qureshi N, Valdez R, Scheuner MT, Khoury MJ. Family history of type 2 diabetes: a population-based screening tool for prevention? Genet Med off J Am Coll Med Genet. 2006;8(2):102–8. Hariri S, Yoon PW, Qureshi N, Valdez R, Scheuner MT, Khoury MJ. Family history of type 2 diabetes: a population-based screening tool for prevention? Genet Med off J Am Coll Med Genet. 2006;8(2):102–8.
9.
go back to reference Wang X, Strizich G, Hu Y, Wang T, Kaplan RC, Qi Q. Genetic markers of type 2 diabetes: progress in genome-wide association studies and clinical application for risk prediction. J Diabetes. 2016;8(1):24–35.CrossRefPubMed Wang X, Strizich G, Hu Y, Wang T, Kaplan RC, Qi Q. Genetic markers of type 2 diabetes: progress in genome-wide association studies and clinical application for risk prediction. J Diabetes. 2016;8(1):24–35.CrossRefPubMed
10.
go back to reference Moonesinghe R, Beckles GLA, Liu T, Khoury MJ. The contribution of family history to the burden of diagnosed diabetes, undiagnosed diabetes, and prediabetes in the United States: analysis of the National Health and Nutrition Examination Survey, 2009–2014. Genet Med. 2018;20(10):1159–66.CrossRefPubMedPubMedCentral Moonesinghe R, Beckles GLA, Liu T, Khoury MJ. The contribution of family history to the burden of diagnosed diabetes, undiagnosed diabetes, and prediabetes in the United States: analysis of the National Health and Nutrition Examination Survey, 2009–2014. Genet Med. 2018;20(10):1159–66.CrossRefPubMedPubMedCentral
11.
go back to reference Vujkovic M, Keaton JM, Lynch JA, Miller DR, Zhou J, Tcheandjieu C, et al. Discovery of 318 new risk loci for type 2 diabetes and related vascular outcomes among 1.4 million participants in a multi-ancestry meta-analysis. Nat Genet. 2020;52(7):680–91.CrossRefPubMedPubMedCentral Vujkovic M, Keaton JM, Lynch JA, Miller DR, Zhou J, Tcheandjieu C, et al. Discovery of 318 new risk loci for type 2 diabetes and related vascular outcomes among 1.4 million participants in a multi-ancestry meta-analysis. Nat Genet. 2020;52(7):680–91.CrossRefPubMedPubMedCentral
13.
go back to reference Cao M, Tian Z, Zhang L, Liu R, Guan Q, Jiang J. Genetic association of AKR1B1 gene polymorphism rs759853 with diabetic retinopathy risk: a meta-analysis. Gene. 2018;676:73–8.CrossRefPubMed Cao M, Tian Z, Zhang L, Liu R, Guan Q, Jiang J. Genetic association of AKR1B1 gene polymorphism rs759853 with diabetic retinopathy risk: a meta-analysis. Gene. 2018;676:73–8.CrossRefPubMed
14.
go back to reference Guan M, Keaton JM, Dimitrov L, Hicks PJ, Xu J, Palmer ND, et al. Genome-wide association study identifies novel loci for type 2 diabetes-attributed end-stage kidney disease in African americans. Hum Genomics. 2019;13(1):21.CrossRefPubMedPubMedCentral Guan M, Keaton JM, Dimitrov L, Hicks PJ, Xu J, Palmer ND, et al. Genome-wide association study identifies novel loci for type 2 diabetes-attributed end-stage kidney disease in African americans. Hum Genomics. 2019;13(1):21.CrossRefPubMedPubMedCentral
15.
go back to reference Tang Y, Lenzini PA, Pop-Busui R, Ray PR, Campbell H, Perkins BA, et al. A genetic locus on chromosome 2q24 Predicting Peripheral Neuropathy risk in type 2 diabetes: results from the ACCORD and BARI 2D studies. Diabetes. 2019;68(8):1649–62.CrossRefPubMedPubMedCentral Tang Y, Lenzini PA, Pop-Busui R, Ray PR, Campbell H, Perkins BA, et al. A genetic locus on chromosome 2q24 Predicting Peripheral Neuropathy risk in type 2 diabetes: results from the ACCORD and BARI 2D studies. Diabetes. 2019;68(8):1649–62.CrossRefPubMedPubMedCentral
16.
go back to reference Jia G, Sowers JR. Hypertension in diabetes: an update of Basic mechanisms and Clinical Disease. Hypertension. 2021;78(5):1197–205.CrossRefPubMed Jia G, Sowers JR. Hypertension in diabetes: an update of Basic mechanisms and Clinical Disease. Hypertension. 2021;78(5):1197–205.CrossRefPubMed
18.
go back to reference Wei GS, Coady SA, Goff DC, Brancati FL, Levy D, Selvin E, et al. Blood pressure and the risk of developing diabetes in African americans and whites: ARIC, CARDIA, and the framingham heart study. Diabetes Care. 2011;34(4):873–9.CrossRefPubMedPubMedCentral Wei GS, Coady SA, Goff DC, Brancati FL, Levy D, Selvin E, et al. Blood pressure and the risk of developing diabetes in African americans and whites: ARIC, CARDIA, and the framingham heart study. Diabetes Care. 2011;34(4):873–9.CrossRefPubMedPubMedCentral
19.
go back to reference Wu Y, Hu H, Cai J, Chen R, Zuo X, Cheng H, et al. Association of hypertension and incident diabetes in Chinese adults: a retrospective cohort study using propensity-score matching. BMC Endocr Disord. 2021;21(1):87.CrossRefPubMedPubMedCentral Wu Y, Hu H, Cai J, Chen R, Zuo X, Cheng H, et al. Association of hypertension and incident diabetes in Chinese adults: a retrospective cohort study using propensity-score matching. BMC Endocr Disord. 2021;21(1):87.CrossRefPubMedPubMedCentral
20.
go back to reference Landsberg L, Molitch M. Diabetes and hypertension: pathogenesis, prevention and treatment. Clin Exp Hypertens N Y N 1993. 2004;26(7–8):621–8. Landsberg L, Molitch M. Diabetes and hypertension: pathogenesis, prevention and treatment. Clin Exp Hypertens N Y N 1993. 2004;26(7–8):621–8.
21.
go back to reference Tsimihodimos V, Gonzalez-Villalpando C, Meigs JB, Ferrannini E. Hypertension and diabetes Mellitus. Hypertension. 2018;71(3):422–8.CrossRefPubMed Tsimihodimos V, Gonzalez-Villalpando C, Meigs JB, Ferrannini E. Hypertension and diabetes Mellitus. Hypertension. 2018;71(3):422–8.CrossRefPubMed
23.
go back to reference Ferrannini E, Cushman WC. Diabetes and hypertension: the bad companions. Lancet Lond Engl. 2012;380(9841):601–10.CrossRef Ferrannini E, Cushman WC. Diabetes and hypertension: the bad companions. Lancet Lond Engl. 2012;380(9841):601–10.CrossRef
24.
go back to reference Ehret GB, Munroe PB, Rice KM, Bochud M, Johnson AD, Chasman DI, et al. Genetic variants in novel pathways influence blood pressure and cardiovascular disease risk. Nature. 2011;478(7367):103–9.CrossRefPubMed Ehret GB, Munroe PB, Rice KM, Bochud M, Johnson AD, Chasman DI, et al. Genetic variants in novel pathways influence blood pressure and cardiovascular disease risk. Nature. 2011;478(7367):103–9.CrossRefPubMed
25.
go back to reference Kato N, Takeuchi F, Tabara Y, Kelly TN, Go MJ, Sim X, et al. Meta-analysis of genome-wide association studies identifies common variants associated with blood pressure variation in east asians. Nat Genet. 2011;43(6):531–8.CrossRefPubMedPubMedCentral Kato N, Takeuchi F, Tabara Y, Kelly TN, Go MJ, Sim X, et al. Meta-analysis of genome-wide association studies identifies common variants associated with blood pressure variation in east asians. Nat Genet. 2011;43(6):531–8.CrossRefPubMedPubMedCentral
26.
go back to reference Rafiq S, Anand S, Roberts R. Genome-wide association studies of hypertension: have they been fruitful? J Cardiovasc Transl Res. 2010;3:189–96.CrossRefPubMed Rafiq S, Anand S, Roberts R. Genome-wide association studies of hypertension: have they been fruitful? J Cardiovasc Transl Res. 2010;3:189–96.CrossRefPubMed
27.
go back to reference Zhang Y, Shen J, He X, Zhang K, Wu S, Xiao B, et al. A rare variant at the KYNU gene is associated with kynureninase activity and essential hypertension in the Han Chinese population. Circ Cardiovasc Genet. 2011;4(6):687–94.CrossRefPubMed Zhang Y, Shen J, He X, Zhang K, Wu S, Xiao B, et al. A rare variant at the KYNU gene is associated with kynureninase activity and essential hypertension in the Han Chinese population. Circ Cardiovasc Genet. 2011;4(6):687–94.CrossRefPubMed
28.
go back to reference Yoon PW, Scheuner MT, Peterson-Oehlke KL, Gwinn M, Faucett A, Khoury MJ. Can family history be used as a tool for public health and preventive medicine? Genet Med. 2002;4(4):304–10.CrossRefPubMed Yoon PW, Scheuner MT, Peterson-Oehlke KL, Gwinn M, Faucett A, Khoury MJ. Can family history be used as a tool for public health and preventive medicine? Genet Med. 2002;4(4):304–10.CrossRefPubMed
31.
go back to reference PAGA. Physical Activity Guidelines for Americans, 2nd edition. 2018. PAGA. Physical Activity Guidelines for Americans, 2nd edition. 2018.
33.
go back to reference Knol MJ, VanderWeele TJ, Groenwold RHH, Klungel OH, Rovers MM, Grobbee DE. Estimating measures of interaction on an additive scale for preventive exposures. Eur J Epidemiol. 2011;26(6):433–8.CrossRefPubMedPubMedCentral Knol MJ, VanderWeele TJ, Groenwold RHH, Klungel OH, Rovers MM, Grobbee DE. Estimating measures of interaction on an additive scale for preventive exposures. Eur J Epidemiol. 2011;26(6):433–8.CrossRefPubMedPubMedCentral
34.
go back to reference VanderWeele TJ, Knol MJ. A Tutorial on Interaction. Epidemiol Methods. 2014;3(1):33–72.CrossRef VanderWeele TJ, Knol MJ. A Tutorial on Interaction. Epidemiol Methods. 2014;3(1):33–72.CrossRef
35.
go back to reference Rothman KJ, Greenland S, Lash TL. Modern epidemiology. Volume 3. Wolters Kluwer Health/Lippincott Williams & Wilkins Philadelphia; 2008. Rothman KJ, Greenland S, Lash TL. Modern epidemiology. Volume 3. Wolters Kluwer Health/Lippincott Williams & Wilkins Philadelphia; 2008.
36.
go back to reference Osborne J, King JE. Binary logistic regression. Best practices in quantitative methods. SAGE Publications, Inc.; 2011. pp. 358–84. Osborne J, King JE. Binary logistic regression. Best practices in quantitative methods. SAGE Publications, Inc.; 2011. pp. 358–84.
37.
go back to reference StataCorp L. Stata statistical software: Release 15 (2017). Coll Stn TX StataCorp LP. 2017. StataCorp L. Stata statistical software: Release 15 (2017). Coll Stn TX StataCorp LP. 2017.
38.
go back to reference Meigs JB, Cupples LA, Wilson PW. Parental transmission of type 2 diabetes: the Framingham offspring study. Diabetes. 2000;49(12):2201–7.CrossRefPubMed Meigs JB, Cupples LA, Wilson PW. Parental transmission of type 2 diabetes: the Framingham offspring study. Diabetes. 2000;49(12):2201–7.CrossRefPubMed
40.
go back to reference Bours MJL, Tutorial. A nontechnical explanation of the counterfactual definition of effect modification and interaction. J Clin Epidemiol. 2021;134:113–24.CrossRefPubMed Bours MJL, Tutorial. A nontechnical explanation of the counterfactual definition of effect modification and interaction. J Clin Epidemiol. 2021;134:113–24.CrossRefPubMed
41.
go back to reference Aroda VR, Knowler WC, Crandall JP, Perreault L, Edelstein SL, Jeffries SL, et al. Metformin for diabetes prevention: insights gained from the Diabetes Prevention Program/Diabetes Prevention Program Outcomes Study. Diabetologia. 2017;60(9):1601–11.CrossRefPubMedPubMedCentral Aroda VR, Knowler WC, Crandall JP, Perreault L, Edelstein SL, Jeffries SL, et al. Metformin for diabetes prevention: insights gained from the Diabetes Prevention Program/Diabetes Prevention Program Outcomes Study. Diabetologia. 2017;60(9):1601–11.CrossRefPubMedPubMedCentral
42.
go back to reference Perreault L, Pan Q, Aroda VR, Barrett-Connor E, Dabelea D, Dagogo-Jack S, et al. Exploring residual risk for diabetes and microvascular disease in the diabetes Prevention Program outcomes Study (DPPOS). Diabet Med J Br Diabet Assoc. 2017;34(12):1747–55.CrossRef Perreault L, Pan Q, Aroda VR, Barrett-Connor E, Dabelea D, Dagogo-Jack S, et al. Exploring residual risk for diabetes and microvascular disease in the diabetes Prevention Program outcomes Study (DPPOS). Diabet Med J Br Diabet Assoc. 2017;34(12):1747–55.CrossRef
43.
go back to reference Wagnew F, Eshetie S, Kibret GD, Zegeye A, Dessie G, Mulugeta H, et al. Diabetic nephropathy and hypertension in diabetes patients of sub-saharan countries: a systematic review and meta-analysis. BMC Res Notes. 2018;11:565.CrossRefPubMedPubMedCentral Wagnew F, Eshetie S, Kibret GD, Zegeye A, Dessie G, Mulugeta H, et al. Diabetic nephropathy and hypertension in diabetes patients of sub-saharan countries: a systematic review and meta-analysis. BMC Res Notes. 2018;11:565.CrossRefPubMedPubMedCentral
44.
go back to reference Wu RR, Myers RA, Hauser ER, Vorderstrasse A, Cho A, Ginsburg GS, et al. Impact of genetic testing and Family Health History based risk counseling on Behavior Change and cognitive precursors for type 2 diabetes. J Genet Couns. 2017;26(1):133–40.CrossRefPubMed Wu RR, Myers RA, Hauser ER, Vorderstrasse A, Cho A, Ginsburg GS, et al. Impact of genetic testing and Family Health History based risk counseling on Behavior Change and cognitive precursors for type 2 diabetes. J Genet Couns. 2017;26(1):133–40.CrossRefPubMed
45.
go back to reference Said MA, Verweij N, van der Harst P. Associations of Combined Genetic and Lifestyle Risks With Incident Cardiovascular Disease and Diabetes in the UK Biobank Study. JAMA Cardiol. 2018;3(8):693–702.CrossRefPubMedPubMedCentral Said MA, Verweij N, van der Harst P. Associations of Combined Genetic and Lifestyle Risks With Incident Cardiovascular Disease and Diabetes in the UK Biobank Study. JAMA Cardiol. 2018;3(8):693–702.CrossRefPubMedPubMedCentral
46.
go back to reference Nazarzadeh M, Bidel Z, Canoy D, Copland E, Wamil M, Majert J, et al. Blood pressure lowering and risk of new-onset type 2 diabetes: an individual participant data meta-analysis. Lancet. 2021;398(10313):1803–10.CrossRefPubMedPubMedCentral Nazarzadeh M, Bidel Z, Canoy D, Copland E, Wamil M, Majert J, et al. Blood pressure lowering and risk of new-onset type 2 diabetes: an individual participant data meta-analysis. Lancet. 2021;398(10313):1803–10.CrossRefPubMedPubMedCentral
47.
go back to reference Navar AM, Gallup DS, Lokhnygina Y, Green JB, McGuire DK, Armstrong PW et al. Hypertension Control in Adults With Diabetes Mellitus and Recurrent Cardiovascular Events: Global Results From the Trial Evaluating Cardiovascular Outcomes With Sitagliptin. Hypertens Dallas Tex. 1979. 2017;70(5):907–14. Navar AM, Gallup DS, Lokhnygina Y, Green JB, McGuire DK, Armstrong PW et al. Hypertension Control in Adults With Diabetes Mellitus and Recurrent Cardiovascular Events: Global Results From the Trial Evaluating Cardiovascular Outcomes With Sitagliptin. Hypertens Dallas Tex. 1979. 2017;70(5):907–14.
Metadata
Title
Additive interaction of family medical history of diabetes with hypertension on the diagnosis of diabetes among older adults in India: longitudinal ageing study in India
Author
Waquar Ahmed
Publication date
01-12-2024
Publisher
BioMed Central
Published in
BMC Public Health / Issue 1/2024
Electronic ISSN: 1471-2458
DOI
https://doi.org/10.1186/s12889-024-18146-0

Other articles of this Issue 1/2024

BMC Public Health 1/2024 Go to the issue