Literature DB >> 16324583

[Relationship between social network and hypertension in older people in Spain].

Aurea Redondo-Sendino1, Pilar Guallar-Castillón, José R Banegas, Fernando Rodríguez-Artalejo.   

Abstract

INTRODUCTION AND
OBJECTIVES: To investigate the association between a patient's social network and hypertension risk in older adults in Spain and to determine whether the nature of the social network is related to a patient's awareness of hypertension, to disease treatment and control, or to adherence to hypertension drug therapy. PATIENTS AND
METHOD: Cross-sectional study of 3483 subjects representative of the non-institutionalized Spanish population aged 60 years or more. Logistic regression analysis, adjusted for sex, age, educational level, lifestyle and frequency of medical consultation, was used to derive odds ratios (ORs) for associations between characteristics of the social network (e.g., marital status, cohabitation status, frequency of contact with family members, and frequency of contact with friends and neighbors) and aspects of hypertension.
RESULTS: The hypertension risk in married individuals and those living with others was less than in those who were unmarried (OR=0.79; 95% confidence interval [CI] 0.67-0.94) or who lived alone (OR=0,75; 95% CI, 0.61-0.93). Men who saw their friends frequently were more likely to be aware of hypertension (OR=1.57; 95% CI, 1.19-2.07). Women who saw their friends or neighbors frequently were less likely to be aware (OR=0.70; 95% CI, 0.51-0.97). No clear relationship between social network characteristics and other hypertension-related variables was observed.
CONCLUSIONS: In older adults, hypertension was associated with aspects of social integration, such as marital and cohabitation status. Among hypertensives, awareness of hypertension was partly related to the frequency of contact with family and friends or neighbors.

Entities:  

Mesh:

Year:  2005        PMID: 16324583

Source DB:  PubMed          Journal:  Rev Esp Cardiol        ISSN: 0300-8932            Impact factor:   4.753


  11 in total

Review 1.  Real-Time Remote-Health Monitoring Systems: a Review on Patients Prioritisation for Multiple-Chronic Diseases, Taxonomy Analysis, Concerns and Solution Procedure.

Authors:  K I Mohammed; A A Zaidan; B B Zaidan; O S Albahri; M A Alsalem; A S Albahri; Ali Hadi; M Hashim
Journal:  J Med Syst       Date:  2019-06-11       Impact factor: 4.460

2.  Based Real Time Remote Health Monitoring Systems: A Review on Patients Prioritization and Related "Big Data" Using Body Sensors information and Communication Technology.

Authors:  Naser Kalid; A A Zaidan; B B Zaidan; Omar H Salman; M Hashim; H Muzammil
Journal:  J Med Syst       Date:  2017-12-29       Impact factor: 4.460

3.  The Association Between Perceived Stress and Hypertension Among Asian Americans: Does Social Support and Social Network Make a Difference?

Authors:  Xiaoxiao Lu; Hee-Soon Juon; Xin He; Cher M Dallal; Ming Qi Wang; Sunmin Lee
Journal:  J Community Health       Date:  2019-06

4.  Social networks help control hypertension.

Authors:  Fadia T Shaya; Viktor V Chirikov; C Daniel Mullins; Jon Shematek; Deleonardo Howard; Clyde Foster; Elijah Saunders
Journal:  J Clin Hypertens (Greenwich)       Date:  2012-11-26       Impact factor: 3.738

5.  Blood pressure (BP) control and perceived family support in patients with essential hypertension seen at a primary care clinic in Western Nigeria.

Authors:  Oluwaseun S Ojo; Sunday O Malomo; Peter T Sogunle
Journal:  J Family Med Prim Care       Date:  2016 Jul-Sep

6.  Prevalence of Metabolic Syndrome and Cardiovascular Risk Factors among Community Health Workers in Selected Villages in the Philippines.

Authors:  Olivia Sison; Nina Castillo-Carandang; Mary Ann Ladia; Rody Sy; Felix Eduardo Punzalan; Elmer Jasper Llanes; Paul Ferdinand Reganit; Felicidad Velandria; Wilbert Allan Gumatay
Journal:  J ASEAN Fed Endocr Soc       Date:  2019-11-10

7.  Social Network and Risk of Poor Sleep Outcomes in Older Adults: Results from a Spanish Prospective Cohort Study.

Authors:  Rocio Leon-Gonzalez; Fernando Rodriguez-Artalejo; Rosario Ortola; Esther Lopez-Garcia; Esther Garcia-Esquinas
Journal:  Nat Sci Sleep       Date:  2021-03-17

8.  The influence of social support on risk of acute cardiovascular diseases in female population aged 25-64 in Russia.

Authors:  Valery V Gafarov; Dmitry O Panov; Elena A Gromova; Igor V Gagulin; Almira V Gafarova
Journal:  Int J Circumpolar Health       Date:  2013-08-05       Impact factor: 1.228

9.  Associations between social network properties and metabolic syndrome and the mediating effect of physical activity: findings from the Cardiovascular and Metabolic Diseases Etiology Research Center (CMERC) Cohort.

Authors:  Kwanghyun Kim; Sun Jae Jung; Jong Min Baek; Hyeon Woo Yim; Hyunsuk Jeong; Dae Jung Kim; Sungha Park; Yoosik Youm; Hyeon Chang Kim
Journal:  BMJ Open Diabetes Res Care       Date:  2020-07

10.  The role of psychosocial determinants in predicting adherence to treatment in patient with hypertension.

Authors:  Mohammad Reza Asgari; Hamid Bouraghi; Ali Mohammadpour; Mina Haghighat; Raheleh Ghadiri
Journal:  Interv Med Appl Sci       Date:  2019-03
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.