1
|
Ahmad Hatib A, Koh HL, Sim SZ. The role of family health climate in physical activity and sedentary behaviour in primary care patients with diabetes - a cross-sectional study. BMC PRIMARY CARE 2025; 26:93. [PMID: 40170015 PMCID: PMC11959952 DOI: 10.1186/s12875-025-02789-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 12/14/2024] [Accepted: 03/14/2025] [Indexed: 04/03/2025]
Abstract
BACKGROUND The shared perceptions and cognitions of a family toward health such as exercise are termed the family health climate (FHC), and they may influence individual physical activity levels. This study aimed to examine the associations between the FHC and physical activity and sedentary behaviour in adult patients with diabetes while accounting for sociodemographic factors and self-determined motivation. METHODS This cross-sectional study was conducted at a polyclinic in Singapore. The participants completed anonymized, self-administered questionnaires that collected data on sociodemographic variables, family health climate for physical activity (FHC-PA), self-reported physical activity and sedentary behaviour (Global Physical Activity Questionnaire), and self-determined motivation (Behavioural Regulation in Exercise Questionnaire‑2). The data were analysed descriptively, and logistic regression was performed to examine the sociodemographic, FHC and motivational covariates of physical activity and sedentary behaviour. RESULTS A total of 345 participants were included in the analysis. The majority were male (60.3%), Chinese (67.5%), and working (72.8%). The mean age was 61.56 (SD 10.71) years. A minority of the participants had sufficient physical activity (41.2%), and most were sedentary (62%). After we adjusted for sociodemographic factors and self-determined motivation, the FHC-PA score and its subdomains were not associated with physical activity levels (p > 0.05) or sedentary behaviour (p > 0.05). Those with higher identified regulation scores had higher odds of being sufficiently active, whereas those with higher external regulation scores, from larger households and who were employed had lower odds of sufficient physical activity. Higher degrees of autonomous motivation were associated with reduced sedentary behaviour, whereas being employed was associated with increased sedentary behaviour. CONCLUSION The FHC-PA, in the presence of self-determined motivation and sociodemographic factors, was not associated with the individual physical activity levels of adults with diabetes. Further studies can be conducted to determine whether it plays a mediating role. As identified regulation was associated with both physical activity and sedentary behaviour, interventions can be mapped to target this motivational domain.
Collapse
Affiliation(s)
- Amelia Ahmad Hatib
- National Healthcare Group Polyclinics, Singapore, Singapore.
- Clinical Research Unit, National Healthcare Group Polyclinics, 3 Fusionopolis Link, Nexus@One-North, South Tower, #05-10, Singapore, 138543, Singapore.
| | - Hui Li Koh
- National Healthcare Group Polyclinics, Singapore, Singapore
| | - Sai Zhen Sim
- National Healthcare Group Polyclinics, Singapore, Singapore
| |
Collapse
|
2
|
Kowall B, Rathmann W. Partnership and marriage and risk of type 2 diabetes: a narrative review. Diabetologia 2025; 68:704-714. [PMID: 39920340 PMCID: PMC11950033 DOI: 10.1007/s00125-025-06360-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/02/2024] [Accepted: 12/10/2024] [Indexed: 02/09/2025]
Abstract
In this review, we discuss how partnership and marriage influence cardiometabolic risk factors and risk of type 2 diabetes, and how couple-based approaches to type 2 diabetes prevention might complement individual-focused prevention efforts. There is some evidence that being married per se has a small positive effect on type 2 diabetes risk. Moreover, there is spousal concordance for many type 2 diabetes risk factors due to assortative mating and convergence during partnership, with weak to moderate correlations found for anthropometric measures, blood pressure, lipid concentrations, smoking, alcohol consumption and physical activity level. A meta-analysis shows that people have a higher risk of type 2 diabetes if their spouse has diabetes (OR 1.72, 95% CI 1.47, 2.02). However, despite some evidence, there is still a lack of research on similar associations in relation to progression to type 2 diabetes and diabetes complications. Several studies have suggested that behaviour changes, for example smoking cessation or weight loss, in one partner increase the likelihood that the other partner will make the same changes. Subsequent studies of couple-based interventions that focus on both partners have shown that people are more likely to adhere to a diabetes prevention programme if their partners are also involved in the programme. However, the effect of the quality of marriage on the outcome of an intervention is still unclear. Couple-based interventions are promising, but there is a lack of RCTs comparing couple-based interventions with individual-centred interventions.
Collapse
Affiliation(s)
- Bernd Kowall
- Institute for Medical Informatics, Biometry and Epidemiology, University Hospital Essen, Essen, Germany.
| | - Wolfgang Rathmann
- Institute for Biometrics and Epidemiology, German Diabetes Center, Leibniz Center for Diabetes Research at Heinrich Heine University Düsseldorf, Düsseldorf, Germany
| |
Collapse
|
3
|
Smith KR, Meeks H, Curtis D, Brown BB, Kole K, Kowaleski‐Jones L. Family history of type 2 diabetes and the risk of type 2 diabetes among young and middle-aged adults. Chronic Dis Transl Med 2025; 11:46-56. [PMID: 40051822 PMCID: PMC11880113 DOI: 10.1002/cdt3.147] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/17/2024] [Revised: 06/18/2024] [Accepted: 07/10/2024] [Indexed: 03/09/2025] Open
Abstract
Background The prevalence of type 2 diabetes has been growing among younger and middle-aged adults in the United States. A portion of this increase for this age group may be attributable to shared type 2 diabetes risks with family members. How family history of type 2 diabetes history is associated with type 2 diabetes risk among younger and middle-aged adults is not well understood. Methods This population-based retrospective cohort study uses administrative, genealogical, and electronic medical records from the Utah Population Database. The study population comprises offspring born between 1970 and 1990 and living in the four urban Utah counties in the United States between 1990 and 2015. The sample comprises 360,907 individuals without a type 2 diabetes diagnosis and 14,817 with a diagnosis. Using multivariate logistic regressions, we estimate the relative risk (RR) of type 2 diabetes associated with the number of affected first- (FDRs), second- (SDRs), and third-degree (first cousin) relatives for the full sample and for Hispanic-specific and sex-specific subsets. Results Individuals with 2+ FDRs with type 2 diabetes have a significant risk of type 2 diabetes in relation to those with no affected FDRs (RR = 3.31 [3.16, 3.48]). Individuals with 2+ versus no SDRs with type 2 diabetes have significant but lower risks (RR = 1.32 [1.25, 1.39]). Those with 2+ versus no affected first cousins have a similarly low risk (RR = 1.28 [1.21, 1.35]). Larger RRs are experienced by males (2+ vs. 0 FDRs, RR = 3.55) than females (2+ vs. 0 FDRs, RR = 3.18) (p < 0.05 for the interaction). These familial associations are partly mediated by the individual's own obesity. Conclusions The risks of type 2 diabetes are significantly associated with having affected first-, second-, and third-degree relatives, especially for men. One of the forces contributing to the rising patterns of type 2 diabetes among young and middle-aged adults is their connection to affected, often older, kin.
Collapse
Affiliation(s)
- Ken R. Smith
- Department of Family and Consumer StudiesUniversity of UtahSalt Lake CityUtahUSA
| | - Huong Meeks
- Department of PediatricsUniversity of UtahSalt Lake CityUtahUSA
| | - David Curtis
- Department of Family and Consumer StudiesUniversity of UtahSalt Lake CityUtahUSA
| | - Barbara B. Brown
- Department of Family and Consumer StudiesUniversity of UtahSalt Lake CityUtahUSA
| | - Kyle Kole
- Department of Family and Consumer StudiesUniversity of UtahSalt Lake CityUtahUSA
| | - Lori Kowaleski‐Jones
- Department of Family and Consumer StudiesUniversity of UtahSalt Lake CityUtahUSA
| |
Collapse
|
4
|
Ukai T, Tabuchi T, Iso H. The association between an individual's development of non-communicable diseases and their spouse's development of the same disease: the Longitudinal Survey of Middle-aged and Elderly Persons. Environ Health Prev Med 2025; 30:23. [PMID: 40159246 PMCID: PMC11955831 DOI: 10.1265/ehpm.24-00294] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/11/2024] [Accepted: 01/13/2025] [Indexed: 04/02/2025] Open
Abstract
BACKGROUND Studies have shown that married couples often share similar lifestyles, as well as lifestyle-associated conditions such as diabetes, hypertension, and hyperlipidemia. This study aims to prospectively investigate the association between an individual's development of a non-communicable disease and the subsequent development of the same condition in their spouse. METHODS This population-based cohort study utilized 12 waves of annual prospective surveys from 2005 onwards in Japan, with a discrete-time design. A total of 9,417 middle-aged couples (18,834 participants; discrete-time observations = 118,876) were included. Each participant whose spouse had developed one of six conditions was propensity score-matched with five controls whose spouses had not been diagnosed with the condition: diabetes [n = 1374 vs n = 6870], hypertension [n = 2657 vs n = 13285], hypercholesterolemia [n = 3321 vs n = 16605], stroke [n = 567 vs n = 2835], coronary heart disease (CHD) [n = 1093 vs n = 5465] or cancer [n = 923 vs n = 4615]. Using conditional logistic regression, we assessed participants' development of the same condition within three years following their spouse's diagnosis. RESULTS Participants whose spouses had developed diabetes, hypertension, hypercholesterolemia, or CHD were more likely to develop the same condition within three years. The odds ratios (ORs) and 95% confidence intervals (CIs) were: 1.96 (1.53-2.50), 1.20 (1.06-1.36), 1.63 (1.47-1.81) and 1.43 (1.05-1.95), respectively. No significant associations were observed in stroke [1.69 (0.80-3.58)] or cancer [1.08 (0.75-1.54)]. CONCLUSION Spouses of individuals recently diagnosed with certain metabolic conditions are at a higher risk of developing those conditions themselves. These findings may provide valuable guidance for targeting and personalizing chronic disease screening and prevention efforts.
Collapse
Affiliation(s)
- Tomohiko Ukai
- Department of Epidemiology and Clinical Research, The Research Institute of Tuberculosis, 3-1-24 Matsuyama, Kiyose, Tokyo 204-8533, Japan
| | - Takahiro Tabuchi
- Division of Epidemiology, School of Public Health, Tohoku University Graduate School of Medicine, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi 980-8575, Japan
- Cancer Control Center, Osaka International Cancer Institute, 3-1-69 Otemae, Chuo-ku, Osaka 541-8567, Japan
| | - Hiroyasu Iso
- Institute for Global Health Policy Research, National Center for Global Health and Medicine, 1-21-1 Toyama Shinjuku-ku, Tokyo 162-8655, Japan
| |
Collapse
|
5
|
Kowall B, Stolpe S, Galetzka W, Nonnemacher M, Stang A. One Question, Many Results—Why Epidemiological Studies Yield Heterogeneous Findings. Part 34 of a Series on Evaluation of Scientific Publications. DEUTSCHES ARZTEBLATT INTERNATIONAL 2024; 121:740-745. [PMID: 39105617 PMCID: PMC12021470 DOI: 10.3238/arztebl.m2024.0135] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/06/2023] [Revised: 06/20/2024] [Accepted: 06/20/2024] [Indexed: 08/07/2024]
Abstract
BACKGROUND Observational epidemiological studies often yield different results on the same research question. In this article, we explain how this comes about. METHODS In this review, which is based on publications retrieved by a selective search in PubMed and the Web of Science, we use information from international publications, simulation studies on sampling error, and a quantitative bias analysis on fictitious data to demonstrate why the results of epidemiological studies are often uncertain, and why it is, therefore, generally necessary to perform more than one study on any particular question. RESULTS Sampling errors, imprecise measurements, alternative but equally appropriate methods of data analysis, and features of the populations being studied are common reasons why studies on the same question can yield different results. Simulation studies are used to illustrate the fact that effect estimates such as relative risks or odds ratios can deviate markedly from the true value because of sampling error, i.e., by chance alone. Quantitative bias analysis is used to show how strongly effect estimates can be distorted by misclassification of exposures or outcomes. Finally, it is shown through illustrative examples that different but equally appropriate methods of data analysis can lead to divergent study results. CONCLUSION The above reasons why epidemiological study results can be heterogeneous are explained in this review. Quantitative bias analyses and sensitivity analyses with alternative data evaluation strategies can help explain divergent results on one and the same question.
Collapse
Affiliation(s)
- Bernd Kowall
- Institute for Medical Informatics, Biometrics, and Epidemiology, University Hospital Essen
| | - Susanne Stolpe
- Institute for Medical Informatics, Biometrics, and Epidemiology, University Hospital Essen
| | - Wolfgang Galetzka
- Institute for Medical Informatics, Biometrics, and Epidemiology, University Hospital Essen
| | - Michael Nonnemacher
- Institute for Medical Informatics, Biometrics, and Epidemiology, University Hospital Essen
| | - Andreas Stang
- Institute for Medical Informatics, Biometrics, and Epidemiology, University Hospital Essen
- School of Public Health, Department of Epidemiology, Boston University, Boston, USA
| |
Collapse
|
6
|
Meng LC, van Gelder MMHJ, Chuang HM, Chen LK, Hsiao FY, Nordeng HME. Paternal metformin use and risk of congenital malformations in offspring in Norway and Taiwan: population based, cross national cohort study. BMJ 2024; 387:e080127. [PMID: 39414354 PMCID: PMC11480814 DOI: 10.1136/bmj-2024-080127] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 08/05/2024] [Indexed: 10/18/2024]
Abstract
OBJECTIVE To evaluate the association between paternal metformin use and risk of congenital malformations in offspring. DESIGN Population based, cross national cohort study. SETTING Norway and Taiwan. PARTICIPANTS 619 389 offspring with paternal data during the period of sperm development (three months before pregnancy) in the Norwegian cohort during 2010-21 and 2 563 812 in the Taiwanese cohort during 2004-18. MAIN OUTCOME MEASURES The primary outcome was any congenital malformation, and the secondary outcome was organ specific malformations, classified according to the European surveillance of congenital anomalies guidelines. Relative risks were estimated with an unadjusted analysis and with analyses restricted to the cohort of men with type 2 diabetes mellitus and those using overlap propensity score weighting to control for severity of diabetes and other potential confounders. Sibling matched comparisons were conducted to account for genetic and lifestyle factors. Relative risk estimates for Norwegian and Taiwanese data were pooled using a random effects meta-analytical approach. RESULTS Paternal data on metformin use during the period of sperm development was available for 2075 (0.3%) offspring in Norway and 15 276 (0.6%) offspring in Taiwan. Among these offspring, 104 (5.0%) in Norway and 512 (3.4%) in Taiwan had congenital malformations. Increased risks of any congenital malformation associated with paternal metformin use were observed in the unadjusted analysis and attenuated with increasing control of confounding. The relative risks of any malformations with paternal metformin use were 1.29 (95% confidence interval 1.07 to 1.55) in Norway and 1.08 (0.99 to 1.17) in Taiwan in the unadjusted analysis and 1.20 (0.94 to 1.53) and 0.93 (0.80 to 1.07), respectively, in the analysis restricted to fathers with type 2 diabetes mellitus. In the overlap propensity score weighting analysis restricted to fathers with type 2 diabetes mellitus, the relative risks were 0.98 (0.72 to 1.33) in Norway and 0.87 (0.74 to 1.02) in Taiwan, resulting in a pooled estimate of 0.89 (0.77 to 1.03). No associations were observed between paternal metformin use and any organ specific malformations. These findings were consistent in sibling matched comparisons and sensitivity analyses. CONCLUSIONS The findings suggest that paternal use of metformin during the period of sperm development is not associated with congenital malformations in offspring, including organ specific malformations. Metformin can therefore continue to be considered a suitable initial oral agent for managing glucose levels in men with type 2 diabetes mellitus who plan on having children.
Collapse
Affiliation(s)
- Lin-Chieh Meng
- Graduate Institute of Clinical Pharmacy, College of Medicine, National Taiwan University, Taipei, Taiwan
| | - Marleen M H J van Gelder
- PharmacoEpidemiology and Drug Safety Research Group, Department of Pharmacy, University of Oslo, Oslo, Norway
| | - Hui-Min Chuang
- Graduate Institute of Clinical Pharmacy, College of Medicine, National Taiwan University, Taipei, Taiwan
| | - Liang-Kung Chen
- Centre for Healthy Longevity and Aging Sciences, National Yang Ming Chiao Tung University, Taipei, Taiwan
- Centre for Geriatrics and Gerontology, Taipei Veterans General Hospital, Taipei, Taiwan
- Taipei Municipal Gan-Dau Hospital (Managed by Taipei Veterans General Hospital), Taipei, Taiwan
| | - Fei-Yuan Hsiao
- Graduate Institute of Clinical Pharmacy, College of Medicine, National Taiwan University, Taipei, Taiwan
- School of Pharmacy, National Taiwan University, Taipei, Taiwan
- Department of Pharmacy, National Taiwan University Hospital, Taipei, Taiwan
| | - Hedvig M E Nordeng
- PharmacoEpidemiology and Drug Safety Research Group, Department of Pharmacy, University of Oslo, Oslo, Norway
- Department of Child Health and Development, National Institute of Public Health, Oslo, Norway
| |
Collapse
|
7
|
Chen YH, Lin JJ, Tang HM, Yang CW, Jong GP, Yang YS. Relationship between Marriage and Prediabetes among Healthcare Workers: Mediating Effect of Triglycerides. MEDICINA (KAUNAS, LITHUANIA) 2024; 60:1418. [PMID: 39336459 PMCID: PMC11434444 DOI: 10.3390/medicina60091418] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/08/2024] [Revised: 08/20/2024] [Accepted: 08/25/2024] [Indexed: 09/30/2024]
Abstract
Background and Objectives: In the literature, relationships between being married and having prediabetes or diabetes are inconsistent. We aimed to investigate whether marriage is a protective or risk factor for prediabetes and to uncover new insights into its impact on prediabetes. Materials and Methods: In this cross-sectional observational study, questionnaires were distributed by email to 1039 staff members who participated in an employee health check from a hospital affiliated with a medical university in Taiwan. Fasting blood glucose and triglyceride (TG) levels were checked and the questionnaires elicited basic demographic characteristics and included the Copenhagen Burnout Inventory and Nordic Musculoskeletal Questionnaire. The chi-square test or Fisher's exact test, logistic regression, and mediation analysis were conducted for statistical analysis. Results: Among the group aged 20-37 years, married (OR = 1.89, 95%CI: 1.08, 3.33), obesity (OR = 2.95, 95%CI: 1.49, 5.83), neck and shoulder pain (OR = 1.31, 95%CI: 1.01, 1.69), and elevated TG levels (OR = 1.01, 95%CI: 1.00, 1.01) were independent risk factors for prediabetes (impaired fasting glucose). For those >38 years old, overweight (OR = 2.08, 95%CI: 1.27, 3.43), obesity (OR = 4.30, 95%CI: 2.38, 7.79), and elevated triglyceride (TG) (OR = 1.003, 95%CI: 1.00, 1.01) were the independent risk factors for impaired fasting glucose. Increased TG levels serve as a mediating factor (Zm = 2.64, p < 0.01) linking marriage to an increased risk of prediabetes for the group aged 20-37 years. Conclusions: TGs play a significant role in the association between marriage and prediabetes among the group aged 20-37 years. Therefore, dietary habits, especially those of young adult couples should be considered. Our findings connect marital status to prediabetes, facilitating advances in diabetes prevention.
Collapse
Affiliation(s)
- Yong-Hsin Chen
- The Department of Health Policy and Management, Chung Shan Medical University, Taichung 402, Taiwan;
- Department of Public Health, Chung Shan Medical University, Taichung 402, Taiwan
- Department of Occupational Safety and Health, Chung Shan Medical University Hospital, Taichung 402, Taiwan; (H.-M.T.); (C.-W.Y.)
| | - Jia-June Lin
- Nursing Department, Chung Shan Medical University Hospital, Taichung 402, Taiwan;
| | - Hsiu-Mei Tang
- Department of Occupational Safety and Health, Chung Shan Medical University Hospital, Taichung 402, Taiwan; (H.-M.T.); (C.-W.Y.)
| | - Ching-Wen Yang
- Department of Occupational Safety and Health, Chung Shan Medical University Hospital, Taichung 402, Taiwan; (H.-M.T.); (C.-W.Y.)
| | - Gwo-Ping Jong
- Department of Internal Medicine, Chung Shan Medical University Hospital, Taichung 402, Taiwan
- Institute of Medicine, Chung Shan Medical University, Taichung 402, Taiwan
| | - Yi-Sun Yang
- Department of Internal Medicine, Chung Shan Medical University Hospital, Taichung 402, Taiwan
- Institute of Medicine, Chung Shan Medical University, Taichung 402, Taiwan
| |
Collapse
|
8
|
Mussa J, Rahme E, Dahhou M, Nakhla M, Dasgupta K. Patterns of Gestational Hypertension or Preeclampsia Across 2 Pregnancies in Relationship to Chronic Hypertension Development: A Retrospective Cohort Study. J Am Heart Assoc 2024; 13:e034777. [PMID: 38904245 PMCID: PMC11255691 DOI: 10.1161/jaha.124.034777] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/31/2024] [Accepted: 05/13/2024] [Indexed: 06/22/2024]
Abstract
BACKGROUND Gestational hypertension (GHTN) and preeclampsia are established risk indicators for chronic hypertension. While recurrence is associated with a greater risk, it is unclear whether there are differences in risk when these gestational complications occur for the first time in an earlier pregnancy versus first occurrence in a subsequent one. We hypothesized that the absence of recurrence reflects a transition toward a lower hypertension risk trajectory, whereas a new occurrence in a later pregnancy indicates a transition toward elevated risk. METHODS AND RESULTS We analyzed linked data in Quebec, Canada, from public health care insurance administrative databases and birth, stillbirth, and death registries. Our retrospective cohort study included mothers with 2 singleton deliveries between April 1990 and December 2012. The primary exposure was patterns of GHTN or preeclampsia across 2 pregnancies (GHTN/preeclampsia in neither, first only, second only, or both). The outcome was incident chronic hypertension. We performed an adjusted multivariable Cox regression analysis. Among 431 980 women with 2 singleton pregnancies, 27 755 developed hypertension during the follow-up period. Compared with those without GHTN/preeclampsia, those with GHTN/preeclampsia only in the first pregnancy had a 2.7-fold increase in hazards (95% CI, 2.6-2.8), those with GHTN/preeclampsia only in the second had a 4.9-fold increase (95% CI, 4.6-5.1), and those with GHTN/preeclampsia in both pregnancies experienced a 7.3-fold increase (95% CI, 6.9-7.6). Patterns and estimates were similar when we considered GHTN and preeclampsia separately. CONCLUSIONS The magnitude of hypertension risk is associated with the number and sequence of GHTN/preeclampsia-affected pregnancies. Considering both allows more personalized risk estimates.
Collapse
Affiliation(s)
- Joseph Mussa
- Department of MedicineMcGill UniversityMontrealQuebecCanada
- Centre for Outcomes Research and Evaluation (CORE)Research Institute of the McGill University Health Centre (RI‐MUHC)MontrealQuebecCanada
| | - Elham Rahme
- Department of MedicineMcGill UniversityMontrealQuebecCanada
- Centre for Outcomes Research and Evaluation (CORE)Research Institute of the McGill University Health Centre (RI‐MUHC)MontrealQuebecCanada
| | - Mourad Dahhou
- Centre for Outcomes Research and Evaluation (CORE)Research Institute of the McGill University Health Centre (RI‐MUHC)MontrealQuebecCanada
| | - Meranda Nakhla
- Centre for Outcomes Research and Evaluation (CORE)Research Institute of the McGill University Health Centre (RI‐MUHC)MontrealQuebecCanada
- Department of PediatricsMcGill UniversityMontrealQuebecCanada
| | - Kaberi Dasgupta
- Department of MedicineMcGill UniversityMontrealQuebecCanada
- Centre for Outcomes Research and Evaluation (CORE)Research Institute of the McGill University Health Centre (RI‐MUHC)MontrealQuebecCanada
| |
Collapse
|
9
|
Rotem RS, Weisskopf MG, Huybrechts KF, Hernández-Díaz S. Paternal Use of Metformin During the Sperm Development Period Preceding Conception and Risk for Major Congenital Malformations in Newborns. Ann Intern Med 2024; 177:851-861. [PMID: 38885501 DOI: 10.7326/m23-1405] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 06/20/2024] Open
Abstract
BACKGROUND Metformin is the most used oral antidiabetic medication. Despite its established safety profile, it has known antiandrogenic and epigenetic modifying effects. This raised concerns about possible adverse developmental effects caused by genomic alterations related to paternal use of metformin during the spermatogenesis period preceding conception. OBJECTIVE To assess the potential adverse intergenerational effect of metformin by examining the association between paternal metformin use during spermatogenesis and major congenital malformations (MCMs) in newborns. DESIGN Nationally representative cohort study. SETTING A large Israeli health fund. PARTICIPANTS 383 851 live births linked to fathers and mothers that occurred in 1999 to 2020. MEASUREMENTS MCMs and parental cardiometabolic conditions were ascertained using clinical diagnoses, medication dispensing information, and laboratory test results. The effect of metformin use on MCMs was estimated using general estimating equations, accounting for concurrent use of other antidiabetic medications and parental cardiometabolic morbidity. RESULTS Compared with unexposed fathers, the prevalence of cardiometabolic morbidity was substantially higher among fathers who used metformin during spermatogenesis, and their spouses. Whereas the crude odds ratio (OR) for paternal metformin exposure in all formulations and MCMs was 1.28 (95% CI, 1.01 to 1.64), the adjusted OR was 1.00 (CI, 0.76 to 1.31). Within specific treatment regimens, the adjusted OR was 0.86 (CI, 0.60 to 1.23) for metformin in monotherapy and 1.36 (CI, 1.00 to 1.85) for metformin in polytherapy, a treatment that was more common in patients with more poorly controlled diabetes. LIMITATION Laboratory test results for hemoglobin A1c to assess underlying diabetes severity were available only for a subset of the cohort. CONCLUSION Paternal use of metformin in monotherapy does not increase the risk for MCMs. Association for metformin in polytherapy could potentially be explained by worse underlying parental cardiometabolic risk profile. PRIMARY FUNDING SOURCE None.
Collapse
Affiliation(s)
- Ran S Rotem
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, and Kahn-Sagol-Maccabi Research and Innovation Institute, Maccabi Healthcare Services, Tel Aviv, Israel (R.S.R.)
| | - Marc G Weisskopf
- Department of Environmental Health and Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts (M.G.W.)
| | - Krista F Huybrechts
- Division of Pharmacoepidemiology and Pharmacoeconomics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts (K.F.H.)
| | - Sonia Hernández-Díaz
- Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, Massachusetts (S.H.)
| |
Collapse
|
10
|
Brieger L, Schramm S, Schmidt B, Roggenbuck U, Erbel R, Stang A, Kowall B. Aggregation of type-2 diabetes, prediabetes, and metabolic syndrome in German couples. Sci Rep 2024; 14:2984. [PMID: 38316913 PMCID: PMC10844497 DOI: 10.1038/s41598-024-53417-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/19/2023] [Accepted: 01/31/2024] [Indexed: 02/07/2024] Open
Abstract
We aimed to examine the concordance of type-2 diabetes, prediabetes and the metabolic syndrome in couples. In cross-sectional analyses, we used data from 1173 couples with index persons from the Heinz Nixdorf Recall Study (2011-2015), a population-based cohort study in Western Germany, and partners from the associated Heinz Nixdorf Multigeneration Study (2013-2016). Mean age (standard deviation) was 67.2 (6.6) years in index persons, and 67.8 (7.7) years in partners. The exposure was the presence of diabetes, prediabetes or metabolic syndrome in index persons, the outcome was the presence of the same health status in partners. Diabetes was defined by either self-reported diagnosis, intake of antidiabetic drugs or insulin, or HbA1c ≥ 6.5%. If the index person had prediabetes or diabetes, the partner was 1.46 (95% CI 1.07-2.00) times more likely to have diabetes than partners of index persons without the condition in the crude model (adjusted model: 1.33 (0.97-1.83)). For self-reported diabetes and for the metabolic syndrome, the corresponding prevalence ratios were 1.33 (0.90-1.97) and 1.17 (1.03-1.32), respectively (adjusted models: 1.23 (0.77-1.94), 1.04 (0.91-1.18)). In German couples, there was weak to moderate concordance of type-2 diabetes, prediabetes and the metabolic syndrome in crude, but poor concordance in adjusted models.
Collapse
Affiliation(s)
- Lara Brieger
- Institute for Medical Informatics, Biometry and Epidemiology, Medical Faculty, University Duisburg-Essen, Essen, Germany
| | - Sara Schramm
- Institute for Medical Informatics, Biometry and Epidemiology, Medical Faculty, University Duisburg-Essen, Essen, Germany
| | - Börge Schmidt
- Institute for Medical Informatics, Biometry and Epidemiology, Medical Faculty, University Duisburg-Essen, Essen, Germany
| | - Ulla Roggenbuck
- Institute for Medical Informatics, Biometry and Epidemiology, Medical Faculty, University Duisburg-Essen, Essen, Germany
| | - Raimund Erbel
- Institute for Medical Informatics, Biometry and Epidemiology, Medical Faculty, University Duisburg-Essen, Essen, Germany
| | - Andreas Stang
- Institute for Medical Informatics, Biometry and Epidemiology, Medical Faculty, University Duisburg-Essen, Essen, Germany
- School of Public Health, Department of Epidemiology Boston University, 715 Albany Street, Talbot Building, Boston, MA, 02118, USA
| | - Bernd Kowall
- Institute for Medical Informatics, Biometry and Epidemiology, Medical Faculty, University Duisburg-Essen, Essen, Germany.
| |
Collapse
|
11
|
Meng H, Lv X, Zhang R, Feng Y, Wang J, Liu J, Zhang J. Occurrence and Risk Factors for Cognitive Decline Shared by Couples: A Systematic Review and Meta-Analysis. J Alzheimers Dis 2024; 100:29-40. [PMID: 38848191 DOI: 10.3233/jad-240325] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/09/2024]
Abstract
Background To date, the magnitude of association and the quality of evidence for cognitive decline (mild cognitive impairment, Alzheimer's disease, and dementia) in couples and risk factors for outcomes have not been reviewed and analyzed systematically. Objective The aim of this study was to investigate the concordance of cognitive impairment in unrelated spouses and to qualitatively describe potential risk factors. Methods Eight databases were searched from inception to October 20, 2023. Eligible studies were independently screened and assessed for quality. Statistical analysis was conducted using Stata 15.1 software. The study was preregistered with PROSPERO (CRD42023488024). Results Eleven studies involving couples were included, with moderate to high evidence quality. Compared to controls, spouses of individuals with cognitive impairment had lower cognitive scores (Cohen's d: 0.18-0.62) and higher risk of cognitive decline (OR = 1.42, 95% CI: 1.15-1.76). The consistency of cognitive impairment between spouses was attributed to three theories: 1) the impact of caregiving stress experienced by the spouse; 2) assortative mating, which suggests that individuals select partners with similar characteristics; and 3) the influence of shared living environments and lifestyles. Conclusions The cognitive status of one spouse can affect the cognitive function of the other spouse. It is important to consider shared lifestyle, environmental, and psychobehavioral factors, as they may contribute to the risk of cognitive decline by couples. Identifying these factors can inform the development of targeted recommendations for interventions and preventive measures.
Collapse
Affiliation(s)
- Hongyan Meng
- School of Nursing, Gansu University of Chinese Medicine, Lanzhou, Gansu, China
| | - Xiangru Lv
- Gansu Health Vocational College, Lanzhou, Gansu, China
| | - Rong Zhang
- School of Nursing, Gansu University of Chinese Medicine, Lanzhou, Gansu, China
| | - Yuping Feng
- School of Nursing, Gansu University of Chinese Medicine, Lanzhou, Gansu, China
| | - Jing Wang
- School of Nursing, Gansu University of Chinese Medicine, Lanzhou, Gansu, China
| | - Jiarui Liu
- School of Nursing, Gansu University of Chinese Medicine, Lanzhou, Gansu, China
| | - Juxia Zhang
- Clinical Educational Department, Gansu Provincial Hospital, Lanzhou, Gansu, China
| |
Collapse
|
12
|
Lee M, Demmer RT, Kucharska-Newton A, Windham BG, Palta P, Shippee T, Lutsey PL. Spousal Cognitive Status and Risk for Declining Cognitive Function and Dementia: The Atherosclerosis Risk in Communities Study. J Aging Health 2023; 35:688-698. [PMID: 36751693 PMCID: PMC10404645 DOI: 10.1177/08982643231155997] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/09/2023]
Abstract
Objectives: We investigated the relationship between the cognitive status of participants' spouses and participants' own cognitive outcomes, controlling for mid-life factors. Methods: Participants (n = 1845; baseline age 66-90 years) from the prospective Atherosclerosis Risk in Communities Study were followed from 2011 to 2019. We used linear regression and Cox proportional hazard models to estimate whether spouses of people with MCI/dementia had lower cognitive functioning and elevated risk of incident dementia. Results: Having a spouse with MCI/dementia was associated with a deficit in cognitive function (b = -0.09 standard deviations; 95% CI = -0.18, 0.00). Adjustment for mid-life risk factors attenuated this association (b = -0.02 standard deviations; 95% CI = -0.10, 0.06). We observed no significant relationship between spousal MCI/dementia status and incident dementia (hazard ratio = 0.97; 95% CI = 0.69, 1.38). Discussion: Spousal cognitive status is not associated with poor cognitive outcomes independent of mid-life factors.
Collapse
Affiliation(s)
- Mark Lee
- Minnesota Population Center, University of Minnesota, Minneapolis, MN, USA
| | - Ryan T. Demmer
- Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis, MN, USA
| | - Anna Kucharska-Newton
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
- Department of Epidemiology, College of Public Health, University of Kentucky, Lexington, KY, USA
| | - B. Gwen Windham
- Department of Medicine, School of Medicine, The University of Mississippi Medical Center, Jackson, MS, USA
| | - Priya Palta
- Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, NY, USA
| | - Tetyana Shippee
- Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis, MN, USA
| | - Pamela L. Lutsey
- Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis, MN, USA
| |
Collapse
|
13
|
Zhao Z, Cao Q, Lu J, Lin H, Gao Z, Xu M, Xu Y, Wang T, Li M, Chen Y, Wang S, Zeng T, Hu R, Yu X, Chen G, Su Q, Mu Y, Chen L, Tang X, Yan L, Qin G, Wan Q, Wang G, Shen F, Luo Z, Qin Y, Chen L, Huo Y, Li Q, Ye Z, Zhang Y, Liu C, Wang Y, Wu S, Yang T, Deng H, Zhao J, Shi L, Ning G, Wang W, Bi Y. Association of Spousal Diabetes Status and Ideal Cardiovascular Health Metrics With Risk of Incident Diabetes Among Chinese Adults. JAMA Netw Open 2023; 6:e2319038. [PMID: 37351887 PMCID: PMC10290251 DOI: 10.1001/jamanetworkopen.2023.19038] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/22/2022] [Accepted: 05/03/2023] [Indexed: 06/24/2023] Open
Abstract
Importance Spouses share common socioeconomic, environmental, and lifestyle factors, and multiple studies have found that spousal diabetes status was associated with diabetes prevalence. But the association of spousal diabetes status and ideal cardiovascular health metrics (ICVHMs) assessed by the American Heart Association's Life's Essential 8 measures with incident diabetes has not been comprehensively characterized, especially in large-scale cohort studies. Objective To explore the association of spousal diabetes status and cardiovascular health metrics with risk of incident diabetes in Chinese adults. Design, Setting, and Participants This cohort study included individuals in the China Cardiovascular Disease and Cancer Cohort without diabetes who underwent baseline and follow-up glucose measurements and had spouses with baseline glucose measurements. The data were collected in January 2011 to December 2012 and March 2014 to December 2016. The spousal study had a mean (SD) follow-up of 3.6 (0.9) years (median [IQR], 3.2 [2.9-4.5] years). Statistical analysis was performed from July to November 2022. Exposure Spousal diabetes status was diagnosed according to the 2010 American Diabetes Association (ADA) criteria. All participants provided detailed clinical, sociodemographic, and lifestyle information included in cardiovascular health metrics. Main Outcomes and Measures Incident diabetes, diagnosed according to 2010 ADA criteria. Results Overall, 34 821 individuals were included, with a mean (SD) age of 56.4 (8.3) years and 16 699 (48.0%) male participants. Spousal diabetes diagnosis was associated with an increased risk of incident diabetes (hazard ratio [HR], 1.15; 95% CI, 1.03-1.30). Furthermore, participants whose spouses had uncontrolled glycated hemoglobin (HbA1c) had a higher risk of diabetes (HR, 1.20; 95% CI, 1.04-1.39) but the risk of diabetes in participants whose spouses had controlled HbA1c did not increase significantly (HR, 1.10; 95% CI, 0.92-1.30). Moreover, this association varied with composite cardiovascular health status. Diabetes risk in individuals who had poor cardiovascular health status (<4 ICVHMs) was associated with spousal diabetes status (3 ICVHMs: HR, 1.50; 95% CI, 1.15-1.97), while diabetes risk in individuals who had intermediate to ideal cardiovascular health status (≥4 ICVHMs) was not associated with it (4 ICVHMs: HR, 1.01; 95% CI, 0.69-1.50). Conclusions and Relevance In this study, spousal diabetes diagnosis with uncontrolled HbA1c level was associated with increased risk of incident diabetes, but strict management of spousal HbA1c level and improving ICVHM profiles may attenuate the association of spousal diabetes status with diabetes risk. These findings suggest the potential benefit of couple-based lifestyle or pharmaceutical interventions for diabetes.
Collapse
Affiliation(s)
- Zhiyun Zhao
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Qiuyu Cao
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Jieli Lu
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Hong Lin
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Zhengnan Gao
- Dalian Municipal Central Hospital, Dalian, China
| | - Min Xu
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yu Xu
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Tiange Wang
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Mian Li
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yuhong Chen
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Shuangyuan Wang
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Tianshu Zeng
- Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Ruying Hu
- Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, China
| | - Xuefeng Yu
- Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Gang Chen
- Fujian Provincial Hospital, Fujian Medical University, Fuzhou, China
| | - Qing Su
- Xinhua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yiming Mu
- Chinese People’s Liberation Army General Hospital, Beijing, China
| | - Lulu Chen
- Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Xulei Tang
- The First Hospital of Lanzhou University, Lanzhou, China
| | - Li Yan
- Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, China
| | - Guijun Qin
- The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Qin Wan
- The Affiliated Hospital of Southwest Medical University, Luzhou, China
| | - Guixia Wang
- The First Hospital of Jilin University, Changchun, China
| | - Feixia Shen
- The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China
| | - Zuojie Luo
- The First Affiliated Hospital of Guangxi Medical University, Nanning, China
| | - Yingfen Qin
- The First Affiliated Hospital of Guangxi Medical University, Nanning, China
| | - Li Chen
- Qilu Hospital of Shandong University, Jinan, China
| | - Yanan Huo
- Jiangxi Provincial People’s Hospital Affiliated to Nanchang University, Nanchang, China
| | - Qiang Li
- The Second Affiliated Hospital of Harbin Medical University, Harbin, China
| | - Zhen Ye
- Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, China
| | - Yinfei Zhang
- Central Hospital of Shanghai Jiading District, Shanghai, China
| | - Chao Liu
- Jiangsu Province Hospital on Integration of Chinese and Western Medicine, Nanjing, China
| | - Youmin Wang
- The First Affiliated Hospital of Anhui Medical University, Hefei, China
| | - Shengli Wu
- Karamay Municipal People’s Hospital, Xinjiang, China
| | - Tao Yang
- The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Huacong Deng
- The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Jiajun Zhao
- Shandong Provincial Hospital Affiliated to Shandong University, Jinan, China
| | - Lixin Shi
- Guiqian International General Hospital, Guiyang, China
| | - Guang Ning
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Weiqing Wang
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yufang Bi
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| |
Collapse
|
14
|
Novak JR, August KJ, Kavookjian J, Whitley H, Burnett D. Exploring typologies of appraisals, involvement, and distress in type 2 diabetes family members. J Health Psychol 2023; 28:133-148. [PMID: 35924837 DOI: 10.1177/13591053221115326] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022] Open
Abstract
The present study conducted a latent profile analysis from a US national sample of 446 family members to identify and predict unique clusters of family members' PWD illness appraisals, involvement, and psychological distress. Time since diagnosis, diabetes adherence, the relationship with the PWD, age, gender, race/ethnicity, income, and economic pressure were included as predictors. Class membership was used to predict the family members' own health behaviors (sleep quality, days of physical activity, and diet quality). Results revealed four distinct classes: Moderately Concerned, Involved, and Distressed (32.51%), Least Concerned, Distressed, and Involved (27.13%), Less Concerned and Distressed, Moderately Involved (23.77%), and Most Concerned, Involved, and Distressed (16.82%). The significant predictors and outcomes of class membership revealed interesting patterns in associations with class membership. Consequently, in addition to involving family members, health promotion and intervention efforts must consider the psychological health and illness appraisals of family members rather than a one-size-fits-all approach.
Collapse
Affiliation(s)
- Josh R Novak
- Department of Human Development and Family Science, Auburn University, Auburn, AL, USA.,Boshell Diabetes and Metabolic Diseases Research Program, Auburn University, Auburn, AL, USA
| | - Kristin J August
- Department of Psychology and Health Sciences Center, Rutgers University, Camden, NJ, USA
| | - Jan Kavookjian
- Boshell Diabetes and Metabolic Diseases Research Program, Auburn University, Auburn, AL, USA.,Harrison School of Pharmacy, Auburn University, Auburn, AL, USA
| | - Heather Whitley
- Boshell Diabetes and Metabolic Diseases Research Program, Auburn University, Auburn, AL, USA.,Harrison School of Pharmacy, Auburn University, Auburn, AL, USA
| | - Donna Burnett
- Boshell Diabetes and Metabolic Diseases Research Program, Auburn University, Auburn, AL, USA.,Nutrition, Dietetics, and Hospitality Management, Auburn University, Auburn, AL, USA
| |
Collapse
|
15
|
Silverman-Retana O, Brinkhues S, Hulman A, Stehouwer CDA, Dukers-Muijrers NHTM, Simmons RK, Bosma H, Eussen S, Koster A, Dagnelie P, Savelberg HHCM, Schaper NC, van Dongen MCJM, Witte DR, Schram MT. Spousal concordance in pathophysiological markers and risk factors for type 2 diabetes: a cross-sectional analysis of The Maastricht Study. BMJ Open Diabetes Res Care 2021; 9:9/1/e001879. [PMID: 33597186 PMCID: PMC7893653 DOI: 10.1136/bmjdrc-2020-001879] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/03/2020] [Revised: 12/11/2020] [Accepted: 01/10/2021] [Indexed: 11/17/2022] Open
Abstract
INTRODUCTION We compared the degree of spousal concordance in a set of detailed pathophysiological markers and risk factors for type 2 diabetes to understand where in the causal cascade spousal similarities are most relevant. RESEARCH DESIGN AND METHODS This is a cross-sectional analysis of couples who participated in The Maastricht Study (n=172). We used quantile regression models to assess spousal concordance in risk factors for type 2 diabetes, including four adiposity measures, two dimensions of physical activity, sedentary time and two diet indicators. We additionally assessed beta cell function and insulin sensitivity and glucose metabolism status with fasting and 2-hour plasma glucose and hemoglobin A1c. RESULTS The strongest spousal concordance (beta estimates) was observed for the Dutch Healthy Diet Index (DHDI) in men. A one-unit increase in wives' DHDI was associated with a 0.53 (95% CI 0.22 to 0.67) unit difference in men's DHDI. In women, the strongest concordance was for the time spent in high-intensity physical activity (HPA); thus, a one-unit increase in husbands' time spent in HPA was associated with a 0.36 (95% CI 0.17 to 0.64) unit difference in women's time spent in HPA. The weakest spousal concordance was observed in beta cell function indices. CONCLUSIONS Spousal concordance was strongest in behavioral risk factors. Concordance weakened when moving downstream in the causal cascade leading to type 2 diabetes. Public health prevention strategies to mitigate diabetes risk may benefit from targeting spousal similarities in health-related behaviors and diabetes risk factors to design innovative and potentially more effective couple-based interventions.
Collapse
Affiliation(s)
- Omar Silverman-Retana
- Department of Public Health, Aarhus University, Aarhus, Denmark
- Steno Diabetes Center Aarhus, Aarhus University Hospital, Aarhus, Denmark
| | - Stephanie Brinkhues
- Care and Public Health Research Institute (CAPHRI), Maastricht University, Maastricht, The Netherlands
- Department of Knowledge and Innovation, Public Health Service South Limburg, Heerlen, The Netherlands
| | - Adam Hulman
- Steno Diabetes Center Aarhus, Aarhus University Hospital, Aarhus, Denmark
| | - Coen D A Stehouwer
- Department of Internal Medicine, Maastricht University Medical Centre, Maastricht, The Netherlands
- Cardiovascular Research Institute Maastricht (CARIM), Maastricht University, Maastricht, The Netherlands
| | - Nicole H T M Dukers-Muijrers
- Department of Sexual Health, Infectious Diseases and Environmental Health, Public Health Service South Limburg, Heerlen, The Netherlands
- Department of Health Promotion, Care and Public Health Research Institute (CAPHRI), Maastricht University, Maastricht, The Netherlands
| | | | - Hans Bosma
- Care and Public Health Research Institute (CAPHRI), Maastricht University, Maastricht, The Netherlands
- Department of Social Medicine, Maastricht University, Maastricht, The Netherlands
| | - Simone Eussen
- Cardiovascular Research Institute Maastricht (CARIM), Maastricht University, Maastricht, The Netherlands
- Department of Epidemiology, Maastricht University, Maastricht, The Netherlands
| | - Annemarie Koster
- Care and Public Health Research Institute (CAPHRI), Maastricht University, Maastricht, The Netherlands
- Department of Social Medicine, Maastricht University, Maastricht, The Netherlands
| | - Pieter Dagnelie
- Department of Internal Medicine, Maastricht University Medical Centre, Maastricht, The Netherlands
- Cardiovascular Research Institute Maastricht (CARIM), Maastricht University, Maastricht, The Netherlands
| | - Hans H C M Savelberg
- Department of Nutrition and Movement Sciences, NUTRIM School for Nutrition and Translational Research in Metabolism, Maastricht University, Maastricht, The Netherlands
| | - Nicolaas C Schaper
- Care and Public Health Research Institute (CAPHRI), Maastricht University, Maastricht, The Netherlands
- Department of Internal Medicine, Maastricht University Medical Centre, Maastricht, The Netherlands
| | - Martien C J M van Dongen
- Care and Public Health Research Institute (CAPHRI), Maastricht University, Maastricht, The Netherlands
- Department of Epidemiology, Maastricht University, Maastricht, The Netherlands
| | - Daniel R Witte
- Department of Public Health, Aarhus University, Aarhus, Denmark
- Steno Diabetes Center Aarhus, Aarhus University Hospital, Aarhus, Denmark
| | - Miranda T Schram
- Department of Internal Medicine, Maastricht University Medical Centre, Maastricht, The Netherlands
- Cardiovascular Research Institute Maastricht (CARIM), Maastricht University, Maastricht, The Netherlands
| |
Collapse
|
16
|
Delicano RA, Hammar U, Egenvall A, Westgarth C, Mubanga M, Byberg L, Fall T, Kennedy B. The shared risk of diabetes between dog and cat owners and their pets: register based cohort study. BMJ 2020; 371:m4337. [PMID: 33303475 PMCID: PMC7726310 DOI: 10.1136/bmj.m4337] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
Abstract
OBJECTIVE To investigate whether dog and cat owners and their pets share a risk of developing diabetes. DESIGN Cohort study. SETTING Register based longitudinal study, Sweden. PARTICIPANTS 208 980 owner-dog pairs and 123 566 owner-cat pairs identified during a baseline assessment period (1 January 2004 to 31 December 2006). MAIN OUTCOME MEASURES Type 2 diabetes events in dog and cat owners and diabetes events in their pets, including date of diagnosis during the follow-up period (1 January 2007 to 31 December 2012). Owners with type 2 diabetes were identified by combining information from the National Patient Register, the Cause of Death Register, and the Swedish Prescribed Drug Register. Information on diabetes in the pets was extracted from veterinary care insurance data. Multi-state models were used to assess the hazard ratios with 95% confidence intervals and to adjust for possible shared risk factors, including personal and socioeconomic circumstances. RESULTS The incidence of type 2 diabetes during follow-up was 7.7 cases per 1000 person years at risk in dog owners and 7.9 cases per 1000 person years at risk in cat owners. The incidence of diabetes in the pets was 1.3 cases per 1000 dog years at risk and 2.2 cases per 1000 cat years at risk. The crude hazard ratio for type 2 diabetes in owners of a dog with diabetes compared with owners of a dog without diabetes was 1.38 (95% confidence interval 1.10 to 1.74), with a multivariable adjusted hazard ratio of 1.32 (1.04 to 1.68). Having an owner with type 2 diabetes was associated with an increased hazard of diabetes in the dog (crude hazard ratio 1.28, 1.01 to 1.63), which was attenuated after adjusting for owner's age, with the confidence interval crossing the null (1.11, 0.87 to 1.42). No association was found between type 2 diabetes in cat owners and diabetes in their cats (crude hazard ratio 0.99, 0.74 to 1.34, and 1.00, 0.78 to 1.28, respectively). CONCLUSIONS Data indicated that owners of a dog with diabetes were more likely to develop type 2 diabetes during follow-up than owners of a dog without diabetes. It is possible that dogs with diabetes could serve as a sentinel for shared diabetogenic health behaviours and environmental exposures.
Collapse
Affiliation(s)
- Rachel Ann Delicano
- Department of Medical Sciences, Molecular Epidemiology and Science for Life Laboratory, Uppsala University, 751 85 Uppsala, Sweden
| | - Ulf Hammar
- Department of Medical Sciences, Molecular Epidemiology and Science for Life Laboratory, Uppsala University, 751 85 Uppsala, Sweden
| | - Agneta Egenvall
- Department of Clinical Sciences, Swedish University of Agricultural Sciences, Uppsala, Sweden
| | - Carri Westgarth
- Institute of Infection, Veterinary and Ecological Sciences, University of Liverpool, Liverpool, UK
| | - Mwenya Mubanga
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Liisa Byberg
- Department of Surgical Sciences, Orthopaedics, Uppsala University, Uppsala, Sweden
| | - Tove Fall
- Department of Medical Sciences, Molecular Epidemiology and Science for Life Laboratory, Uppsala University, 751 85 Uppsala, Sweden
| | - Beatrice Kennedy
- Department of Medical Sciences, Molecular Epidemiology and Science for Life Laboratory, Uppsala University, 751 85 Uppsala, Sweden
| |
Collapse
|
17
|
Novak JR, Wilson SJ, Gast J, Miyairi M, Peak T. Associations between partner's diet undermining and poor diet in mixed-weight, older gay married couples: a dyadic mediation model. Psychol Health 2020; 36:1147-1164. [PMID: 33090040 DOI: 10.1080/08870446.2020.1836179] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
Abstract
BACKGROUND Prior studies have examined how individuals may undermine their partner's efforts to maintain a healthy diet, but gay couples have not been represented in this work. Additionally, research has not accounted for mixed-weight status [lighter partner (LP) and heavier partner] nor investigated the mechanisms through which undermining is associated with dietary outcomes. OBJECTIVE/DESIGN/MEASURES Utilising dyadic data from 224 gay married couples across the United States, we tested associations between perceptions of partner's diet undermining strategies and diet quality with couple food disagreements and depressive symptoms as putative, serial mediators in an actor-partner interdependence mediation model. RESULTS Results revealed that more severe diet undermining was associated with both partners' poorer diet quality, which was explained by more frequent couple food disagreements and higher depressive symptoms for both heavier and LPs. CONCLUSION These findings suggest that undermining strategies are detrimental to both partners' relational health (increased conflict), emotional health (depressive symptoms) and physical health (diet)-regardless of weight status-and provide valuable targets for prevention and intervention. Our study underscores the interdependence of couple relations in lifestyle changes and specifically highlight the need for health professionals to discuss the partner's indirect or unintended disruptions to the patient's plan.
Collapse
Affiliation(s)
- Joshua R Novak
- Department of Human Development and Family Science, Auburn University, Auburn, AL, USA
| | - Stephanie J Wilson
- Department of Psychology, Southern Methodist University, Dallas, TX, USA
| | - Julie Gast
- Department of Kinesiology and Health Science, Utah State University, Logan, UT, USA
| | - Maya Miyairi
- Department of Kinesiology and Health Science, Utah State University, Logan, UT, USA
| | - Terry Peak
- Department of Sociology, Social Work, and Anthropology, Utah State University, Logan, UT, USA
| |
Collapse
|
18
|
Persson J, Sheehan OC, Strömberg U, Roth DL. All-cause mortality for cohabiting spouses of stroke survivors: Evidence from Swedish national registries. Top Stroke Rehabil 2020; 28:432-442. [PMID: 33048024 DOI: 10.1080/10749357.2020.1834270] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
Abstract
BACKGROUND/OBJECTIVES Spousal concordance for cardiovascular risk factors and lifestyle behaviors may affect prevalence rates of diabetes, hypertension, and stroke. Spouses of stroke survivors, therefore, would be expected to have elevated mortality rates, but this has not been established. Thus, the aim of this study was to investigate whether cohabitant spouses of stroke survivors have higher mortality rates compared to a matched reference cohort. METHODS Data for this population-based cohort study were extracted from Swedish national registries from 2010 to 2016. The national sample consisted of 13,049 spouses of first ever stroke survivors and a reference cohort of 51,685 cohabitant individuals from the general population matched by age, gender, and place of residence. Effects on mortality were analyzed using Cox proportional hazard survival analyses. RESULTS Female and male spouses of stroke survivors were found to have 5-year hazard ratios of death of 1.26 (95% confidence interval 1.17, 1.36) and 1.24 (95% confidence interval 1.16, 1.33), respectively, when compared to the reference cohort. Both female and male spouses had higher mortality from diseases in the circulatory system compared to the reference cohort. CONCLUSION Spouses of stroke survivors have higher mortality rates than a matched reference population that persist for a minimum of 5 years. Policy-makers should acknowledge and address the health status of spouses when evaluating and planning the health and social care of stroke survivors.
Collapse
Affiliation(s)
- Josefine Persson
- Health Economics and Policy, School of Public Health and Community Medicine, Institute of Medicine, University of Gothenburg, Gothenburg, Sweden.,Center on Aging and Health, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Orla C Sheehan
- Center on Aging and Health, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Ulf Strömberg
- Health Economics and Policy, School of Public Health and Community Medicine, Institute of Medicine, University of Gothenburg, Gothenburg, Sweden
| | - David L Roth
- Center on Aging and Health, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| |
Collapse
|
19
|
Persson J, Hensing G, Bonander C. Employment transitions for spouses of stroke survivors: evidence from Swedish national registries. BMC Public Health 2020; 20:1522. [PMID: 33028247 PMCID: PMC7542721 DOI: 10.1186/s12889-020-09625-1] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/12/2020] [Accepted: 09/29/2020] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND The sudden occurrence of stroke often leads to impaired physical, emotional, and cognitive abilities. Many stroke survivors therefore require support from their family members. However, little is known about the effects of a stroke event on the spouses' employment transition probabilities. The aim of this study was twofold 1) to investigate whether a first ever stroke has an effect on employment transition probabilities for employed and unemployed spouses and 2) to analyze whether heterogeneity with respect to age, gender, education and comorbidities influence the size of the effect. METHOD Data for this population-based cohort study were extracted from Swedish national registries from 2005 to 2016. The national sample consisted of 1818 spouses of first ever stroke survivors during 2010 and 2011, and 7399 matched controls that were employed or unemployed during 5 years prior stroke onset. Effects of stroke on spousal employment transitions were analyzed using linear regression, stratified by employment status prior to stroke onset. RESULTS Employed spouses prior stroke onset reduced their employment by - 1.3 percentage points (95% CI, - 2.4, - 0.2). The data also indicated that employed spouses with lower age, comorbid conditions, and low educational attainment may be at even greater risk of transitioning to unemployment. On the other hand, stroke events appear to have limited impact on spouses that were unemployed prior to stroke onset. CONCLUSION The risk of transitioning to unemployment appears to increase after stroke onset for spouses of stroke survivors, and disadvantaged groups may be at even greater risk. Thus, it is important for policy-makers to implement interventions to ensure that these groups of spouses have the possibilities to combine their caregiving role and remaining in the labor market.
Collapse
Affiliation(s)
- Josefine Persson
- Health Economics and Policy, School of Public Health and Community Medicine, Institute of Medicine, University of Gothenburg, Gothenburg, Sweden.
| | - Gunnel Hensing
- Insurance Medicine, School of Public Health and Community Medicine, Institute of Medicine, University of Gothenburg, Gothenburg, Sweden
| | - Carl Bonander
- Health Economics and Policy, School of Public Health and Community Medicine, Institute of Medicine, University of Gothenburg, Gothenburg, Sweden
| |
Collapse
|
20
|
Watanabe T, Sugiyama T, Takahashi H, Noguchi H, Tamiya N. Concordance of hypertension, diabetes and dyslipidaemia in married couples: cross-sectional study using nationwide survey data in Japan. BMJ Open 2020; 10:e036281. [PMID: 32723739 PMCID: PMC7389765 DOI: 10.1136/bmjopen-2019-036281] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/19/2022] Open
Abstract
OBJECTIVE Because married couples have many environmental influences in common, spouses may develop similar diseases. This study aimed to determine the concordance of hypertension, diabetes and dyslipidaemia, which are major risk factors for cardiovascular disease, among married couples in Japan. RESEARCH DESIGN AND METHODS We conducted a cross-sectional study of married couples who were both aged ≥40 years using the 2016 Comprehensive Survey of Living Conditions, which is a Japanese national survey. We first determined the proportions of wives and husbands who were receiving therapy for each of the diseases of interest. We then conducted logistic regression analyses using the wives undergoing therapy for each disease as outcomes and the husbands undergoing therapy for the same disease as the principal exposure, adjusting for covariates. RESULTS The subjects of the analyses were 86 941 married couples. The wives of male patients were significantly more likely to be receiving therapy for the same disease. Logistic regression revealed that when husbands were undergoing therapy for these diseases their wives had ORs (95% CIs) of 1.79 (1.72-1.86) for hypertension, 1.45 (1.34-1.58) for diabetes, 2.58 (2.41-2.75) for dyslipidaemia and 1.87 (1.80-1.93) for any of these diseases. CONCLUSIONS If men have hypertension, diabetes or dyslipidaemia, their wives were also more susceptible to the same disease. Medical professionals and couples may need to recognise these results and consider couple-based interventions to help the prevention, early detection and treatment of these diseases.
Collapse
Affiliation(s)
- Taeko Watanabe
- Department of Health Services Research, University of Tsukuba, Tsukuba, Ibaraki, Japan
- Health Services Research and Development Center, University of Tsukuba, Tsukuba, Ibaraki, Japan
| | - Takehiro Sugiyama
- Department of Health Services Research, University of Tsukuba, Tsukuba, Ibaraki, Japan
- Health Services Research and Development Center, University of Tsukuba, Tsukuba, Ibaraki, Japan
- Diabetes and Metabolism Information Center, Research Institute, National Center for Global Health and Medicine, Shinjuku-ku, Tokyo, Japan
| | - Hideto Takahashi
- Health Services Research and Development Center, University of Tsukuba, Tsukuba, Ibaraki, Japan
- National Institute of Public Health, Wako, Saitama, Japan
| | - Haruko Noguchi
- Health Services Research and Development Center, University of Tsukuba, Tsukuba, Ibaraki, Japan
- Faculty of Political Science and Economics, Waseda University, Shinjuku-ku, Tokyo, Japan
| | - Nanako Tamiya
- Department of Health Services Research, University of Tsukuba, Tsukuba, Ibaraki, Japan
- Health Services Research and Development Center, University of Tsukuba, Tsukuba, Ibaraki, Japan
| |
Collapse
|
21
|
Gupta Y, Goyal A, Kalaivani M, Singhal S, Bhatla N, Gupta N, Tandon N. High burden of cardiometabolic risk factors in spouses of Indian women with hyperglycaemia in pregnancy. Diabet Med 2020; 37:1058-1065. [PMID: 32112453 DOI: 10.1111/dme.14283] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 02/26/2020] [Indexed: 12/13/2022]
Abstract
AIM To evaluate the burden and association of cardiometabolic risk factors in the spouses of women with and without hyperglycaemia in pregnancy. METHODS Women with (n = 204) and without (n = 197) hyperglycaemia in pregnancy, along with their spouses, participated in this cross-sectional study. The hyperglycaemia in pregnancy group included women with gestational diabetes and diabetes in pregnancy. A detailed questionnaire was completed for all participants (men and women), documenting relevant personal and medical history, along with biochemical investigations (men). RESULTS A total of 401 couples were evaluated at the time point during the pregnancy of 24.7 ± 5.2 gestational weeks (mean ± sd). Dysglycaemia (prediabetes or diabetes), overweight/obesity (BMI ≥25 kg/m2 ) and metabolic syndrome were detected in 120 (58.9%), 123 (60.3%) and 98 spouses (48.3%) of women with hyperglycaemia in pregnancy, respectively. In the fully adjusted model, an increased risk of dysglycaemia [odds ratio 1.43 (95% CI 0.95-2.17); P = 0.088], overweight/obesity [odds ratio 1.49 (95% CI 0.98-2.27); P = 0.064] and metabolic syndrome [odds ratio 2.00 (95% CI 1.30-3.07); P = 0.001] was seen in the spouses of women with hyperglycaemia in pregnancy. The prevalence of these metabolic conditions was higher in spouses of women with diabetes in pregnancy compared to spouses of women with gestational diabetes mellitus. CONCLUSIONS A high burden of cardiometabolic risk factors was observed in the spouses of women with hyperglycaemia in pregnancy. The opportunity provided by pregnancy could be used by the healthcare system not only to improve the health of the woman and her offspring, but also her spouse.
Collapse
Affiliation(s)
- Y Gupta
- Departments of, Department of, Endocrinology and Metabolism, All India Institute of Medical Sciences, New Delhi, India
| | - A Goyal
- Departments of, Department of, Endocrinology and Metabolism, All India Institute of Medical Sciences, New Delhi, India
| | - M Kalaivani
- Department of, Biostatistics, All India Institute of Medical Sciences, New Delhi, India
| | - S Singhal
- Department of, Obstetrics and Gynaecology, All India Institute of Medical Sciences, New Delhi, India
| | - N Bhatla
- Department of, Obstetrics and Gynaecology, All India Institute of Medical Sciences, New Delhi, India
| | - N Gupta
- Departments of, Department of, Endocrinology and Metabolism, All India Institute of Medical Sciences, New Delhi, India
| | - N Tandon
- Departments of, Department of, Endocrinology and Metabolism, All India Institute of Medical Sciences, New Delhi, India
| |
Collapse
|
22
|
Spousal metabolic risk factors and future cardiovascular events: A prospective cohort study. Atherosclerosis 2020; 298:36-41. [DOI: 10.1016/j.atherosclerosis.2020.02.023] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/30/2019] [Revised: 02/15/2020] [Accepted: 02/27/2020] [Indexed: 01/21/2023]
|
23
|
Ramezankhani A, Guity K, Azizi F, Hadaegh F. Spousal metabolic risk factors and incident hypertension: A longitudinal cohort study in Iran. J Clin Hypertens (Greenwich) 2020; 22:95-102. [PMID: 31891453 DOI: 10.1111/jch.13783] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/25/2019] [Revised: 12/07/2019] [Accepted: 12/16/2019] [Indexed: 01/17/2023]
Abstract
We investigated the association between metabolic risk factors in one spouse with incident hypertension in the other. Study sample included 1528 men and 1649 women aged ≥20 years from the Tehran lipid and glucose study with information on body mass index (BMI), waist circumference (WC), hypertension, type 2 diabetes mellitus (DM), and dyslipidemia. The hazard ratio (HR) and 95% confidence interval (95% CI) were estimated for the association of spousal metabolic factors and incident hypertension among men and women separately. A total of 604 and 566 cases of incident hypertension were observed in men and women, respectively. Among men, spousal DM was associated with a 40% (CI: 1.07-1.83) excess risk of hypertension after adjusting for the men's own and their spouse's risk factors including BMI, DM, smoking, and physical activity level. Among women, spousal DM was associated with more than two times (2.11, 1.69-2.63) higher risk of hypertension. After further adjustment for the women's own and their spouse's risk factors, the association was attenuated and remained marginally significant (1.25, 0.99-1.58; P value = .053). Having a spouse with DM increases an individual's risk of hypertension, which raises the possibility of using preexisting information of one partner to guide the screening of the other partner.
Collapse
Affiliation(s)
- Azra Ramezankhani
- Prevention of Metabolic Disorders Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Kamran Guity
- Cellular and Molecular Endocrine Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Fereidoun Azizi
- Endocrine Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Farzad Hadaegh
- Prevention of Metabolic Disorders Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| |
Collapse
|
24
|
Baucom KJW, Ritchie ND. Including Partners in the National Diabetes Prevention Program: Rationale and Practical Considerations. ACTA ACUST UNITED AC 2019; 7:46-47. [PMID: 33537360 DOI: 10.1177/2325160319877569] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Affiliation(s)
| | - Natalie D Ritchie
- Denver Health and Hospital Authority in Denver, CO.,University of Colorado in Aurora
| |
Collapse
|
25
|
Ramezankhani A, Guity K, Azizi F, Hadaegh F. Sex differences in the association between spousal metabolic risk factors with incidence of type 2 diabetes: a longitudinal study of the Iranian population. Biol Sex Differ 2019; 10:41. [PMID: 31439024 PMCID: PMC6704543 DOI: 10.1186/s13293-019-0255-5] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/18/2019] [Accepted: 08/12/2019] [Indexed: 12/17/2022] Open
Abstract
BACKGROUND We investigated whether metabolic risk factors in one spouse were associated with an excessive risk of type 2 diabetes in the other. METHODS The study cohort (1999-2018) included 1833 men and 1952 women, aged ≥ 20 years with information on both their own and their spouse's diabetes status and metabolic risk factors including body mass index (BMI), waist circumference, systolic and diastolic blood pressure, triglyceride to high-density lipoprotein cholesterol ratio, and type 2 diabetes. The associations between spousal metabolic risk factors and type 2 diabetes were estimated using Cox regression models adjusted for the three nested sets of covariates. RESULTS We found 714 (360 men and 354 women) incident cases of type 2 diabetes, after more than 15 years of follow-up. Among women, having a husband with diabetes was associated with a 38% (hazard ratio (HR) 1.38; 95% confidence interval (CI) 1.03, 1. 84) increased risk of type 2 diabetes, adjusted for age, socioeconomic status, individual's own value of the respective spousal exposure variable, family history of diabetes, and physical activity level. After further adjustment for the woman's own BMI level, the husband's diabetes was associated with 23% (HR 1.23; 0.92, 1.64) higher risk of type 2 diabetes in wives, values which did not reach statistical significance. No significant associations were found between spousal metabolic risk factors and incidence of type 2 diabetes among index men. CONCLUSION We found a sex-specific effect of spousal diabetes on the risk of type 2 diabetes. Having a husband with diabetes increased an individual's risk of type 2 diabetes. Our results might contribute to the early detection of individuals at high risk of developing type 2 diabetes, particularly, in women adversely affected by their partner's diabetes.
Collapse
Affiliation(s)
- Azra Ramezankhani
- Prevention of Metabolic Disorders Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Kamran Guity
- Cellular and Molecular Endocrine Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Fereidoun Azizi
- Endocrine Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Farzad Hadaegh
- Prevention of Metabolic Disorders Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
| |
Collapse
|