Literature DB >> 9830183

Are spouses of patients with hypertension at increased risk of having hypertension? A population-based case-control study.

J Hippisley-Cox1, M Pringle.   

Abstract

BACKGROUND: Studies of couples, who tend to share an environment but are genetically dissimilar, can shed light on the contribution of environmental factors to hypertension. There has been renewed interest in these environmental factors following the re-analysis of the INTERSALT study. AIM: To determine whether patients whose spouses have hypertension are at increased risk of hypertension, using a population-based case-control study.
METHOD: The total study population consisted of all 3923 patients over 30 years old registered with one general practice. Male cases with hypertension were matched to male controls without hypertension. Female cases with hypertension were matched to female controls without hypertension. The variables were: diagnosed hypertension; having a spouse with diagnosed hypertension; age; sex; weight; height; body-mass index; couple status; diabetes; and systolic and diastolic blood pressure readings.
RESULTS: On multivariate analysis, when age, body-mass index, diabetes, couple status, and having a blood pressure reading were included, men whose spouses had hypertension had a two-fold increased risk of hypertension (adjusted odds ratio (OR) 2.24; 95% CI 1.77-2.72; P = 0.001). Similarly, on multivariate analysis, women whose spouses had hypertension had a two-fold increased risk of hypertension (adjusted OR = 2.23; 95% CI 1.75-2.72; P = 0.001). The risk for both male and female subjects persisted after adjustment for other variables. There was a significant correlation between systolic (r = 0.41; P < 0.0001) and diastolic (r = 0.25; P < 0.0001) blood pressures between spouse pairs.
CONCLUSION: The independent association between having a spouse with hypertension and increased risk of hypertension supports the view that there are significant environmental factors in the aetiology of hypertension. The finding has implications for the screening and treatment of hypertension in primary care.

Entities:  

Mesh:

Year:  1998        PMID: 9830183      PMCID: PMC1313221     

Source DB:  PubMed          Journal:  Br J Gen Pract        ISSN: 0960-1643            Impact factor:   5.386


  22 in total

1.  Concordance for coronary risk factors among spouses.

Authors:  D L Sackett; G D Anderson; R Milner; M Feinleib; W B Kannel
Journal:  Circulation       Date:  1975-10       Impact factor: 29.690

2.  Familial aggregation of blood pressure. Preliminary report.

Authors:  W Winkelstein; S Kantor; M Ibrahim; D L Sackett
Journal:  JAMA       Date:  1966-03-07       Impact factor: 56.272

3.  Familial aggregation of blood pressure.

Authors:  N O Borhani; D Slansky; W Gaffey; T Borkman
Journal:  Am J Epidemiol       Date:  1969-05       Impact factor: 4.897

4.  Blood pressure and hypertension in an agricultural and a fishing population in Taiwan.

Authors:  W P Tseng
Journal:  Am J Epidemiol       Date:  1967-11       Impact factor: 4.897

5.  Aggregation of blood pressure in the families of identical twins.

Authors:  R J Rose; J Z Miller; C E Grim; J C Christian
Journal:  Am J Epidemiol       Date:  1979-05       Impact factor: 4.897

6.  Spouse concordance for fasting plasma glucose in non-diabetics.

Authors:  E Barrett-Connor; L Suarez
Journal:  Am J Epidemiol       Date:  1982-09       Impact factor: 4.897

7.  Blood pressure aggregation in families.

Authors:  R J Havlik; R J Garrison; M Feinleib; W B Kannel; W P Castelli; P M McNamara
Journal:  Am J Epidemiol       Date:  1979-09       Impact factor: 4.897

8.  Factors influencing the degree of resemblance in arterial pressure of close relatives.

Authors:  W E Miall; P Heneage; T Khosla; H G Lovell; F Moore
Journal:  Clin Sci       Date:  1967-10       Impact factor: 6.124

9.  Hypertension among Asians and Pacific islanders in California.

Authors:  G R Stavig; A Igra; A R Leonard
Journal:  Am J Epidemiol       Date:  1984-05       Impact factor: 4.897

10.  Familial aggregation of blood pressure, anthropometric characteristics and urinary excretion of sodium and potassium--a population study in two Belgian towns.

Authors:  J Staessen; C J Bulpitt; R Fagard; J V Joossens; P Lijnen; A Amery
Journal:  J Chronic Dis       Date:  1985
View more
  10 in total

1.  The family contribution to health status: a population-level estimate.

Authors:  Robert L Ferrer; Ray Palmer; Sandra Burge
Journal:  Ann Fam Med       Date:  2005 Mar-Apr       Impact factor: 5.166

2.  For better and worse? The roles of closeness, marital behavior, and age in spouses' cardiometabolic similarity.

Authors:  Stephanie J Wilson; Juan Peng; Rebecca Andridge; Lisa M Jaremka; Christopher P Fagundes; William B Malarkey; Martha A Belury; Janice K Kiecolt-Glaser
Journal:  Psychoneuroendocrinology       Date:  2020-06-17       Impact factor: 4.905

3.  Hypertension status, treatment, and control among spousal pairs in a middle-aged adult cohort.

Authors:  Mara McAdams DeMarco; Josef Coresh; Mark Woodward; Kenneth R Butler; W H Linda Kao; Thomas H Mosley; Michelle Hindin; Cheryl A M Anderson
Journal:  Am J Epidemiol       Date:  2011-08-12       Impact factor: 4.897

Review 4.  Lovesick: How Couples' Relationships Influence Health.

Authors:  Janice K Kiecolt-Glaser; Stephanie J Wilson
Journal:  Annu Rev Clin Psychol       Date:  2017-03-16       Impact factor: 18.561

5.  Married couples' risk of same disease: cross sectional study.

Authors:  Julia Hippisley-Cox; Carol Coupland; Mike Pringle; Nicola Crown; Vicky Hammersley
Journal:  BMJ       Date:  2002-09-21

6.  Are spouses' socio-economic classifications interchangeable? Examining the consequences of a commonly used practice in studies on social inequalities in health.

Authors:  Denise Muschik; Jelena Jaunzeme; Siegfried Geyer
Journal:  Int J Public Health       Date:  2015-10-07       Impact factor: 3.380

7.  Marriage and Gut (Microbiome) Feelings: Tracing Novel Dyadic Pathways to Accelerated Aging.

Authors:  Janice K Kiecolt-Glaser; Stephanie J Wilson; Annelise Madison
Journal:  Psychosom Med       Date:  2019-10       Impact factor: 4.312

Review 8.  Health behaviour change interventions for couples: A systematic review.

Authors:  Emily Arden-Close; Nuala McGrath
Journal:  Br J Health Psychol       Date:  2017-02-02

9.  Spousal metabolic risk factors and incident hypertension: A longitudinal cohort study in Iran.

Authors:  Azra Ramezankhani; Kamran Guity; Fereidoun Azizi; Farzad Hadaegh
Journal:  J Clin Hypertens (Greenwich)       Date:  2019-12-31       Impact factor: 3.738

10.  Spousal concordance for hypertension: A meta-analysis of observational studies.

Authors:  Zhancheng Wang; Wenhui Ji; Yanqiu Song; Jin Li; Yan Shen; Hongchao Zheng; Yueyou Ding
Journal:  J Clin Hypertens (Greenwich)       Date:  2017-08-30       Impact factor: 3.738

  10 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.