Prevalence and Predictors of Co-occurring Hypertension and Depression Among Community-Dwelling Older Adults

Gray, Cicily A.; Sims, Omar T.; Oh, Hyejung

doi:10.1007/s40615-019-00665-x

Cited by 11 publications

(8 citation statements)

References 41 publications

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“…The results of the present study are in line with the previous research finding that the majority of the respondents who suffer from hypertension are elderly [15][16][17]. This is in accord with Lewa's research (2010) that population above 55 years old have the risk of suffering from hypertension due to the aortic constriction and decreased distention ability of arterial dilation resulting in an increase in systolic blood pressure.…”

Section: Univariate Analysis Agesupporting

confidence: 93%

“…This research is in line with the observation that the majority of respondents who suffer from hypertension are male [15][16][17]. However, the results of this study are different from that of Sudawam and Livana (2017) research which states that the majority of the respondents who experience hypertension are female; women are more likely to experience stress than men [22].…”

Section: Gendersupporting

confidence: 85%

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Triggering factors related to hypertension in the City of Kendal, Indonesia

Basthomi

2020

Arterial Hypertension

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Section: Univariate Analysis Agesupporting

confidence: 93%

Section: Gendersupporting

confidence: 85%

Triggering factors related to hypertension in the City of Kendal, Indonesia

Basthomi

2020

Arterial Hypertension

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“…The prevalence of depression in a study amongst adults (18-40 years) in the Eastern Cape Province was discovered to be 31.4%, where the mini international neuropsychiatric questionnaire was used. 30 A study by Gray et al 32 found a prevalence of 35% amongst community members with both http://www.safpj.co.za Open Access hypertension and depression. Another study in Lilongwe using a PHQ-9 score of 10 or more, reported the prevalence of depressive disorders amongst people living with HIV to be 12%.…”

Section: Discussionmentioning

confidence: 99%

Screening for depression at the primary care level: Evidence for policy decision-making from a facility in Pretoria, South Africa

Mashaba

Moodley

Ledibane

2021

South African Family Practice

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Methods: This was an analytical cross-sectional study conducted at a clinic in Pretoria, South Africa. A self-administered questionnaire, which included the Patient Health Questionnaire-9 (PHQ-9) screening tool, was completed by patients attending the clinic. A PHQ-9 score of less than five was deemed as a negative screen for depressive features; with a score of five or more being considered a positive screen. A multivariate logistic regression model was developed to identify factors associated with a positive screen for depressive features.Results: A total of 199 patients participated and the proportion screened positive for depressive features using the PHQ-9 tool was 46.23% (n = 92). Employed participants had significantly lower odds (odds ratio [OR] = 0.48; 95% confidence interval [CI]: 0.25 -0.94) of screening positive, whilst the participants with significantly higher odds were those with co-morbidities (OR = 2.12; 95% CI: 1.08 -4.17) and a history of stressful life events (OR = 3.21; 95% CI: 1.64 -6.28). Conclusion:Depression appears to be a significant problem in PHC settings in South Africa. Screening for depressive features at primary level, targeting those with chronic medical conditions, history of recent stressful life events and other known risk factors may improve detection rates, lead to earlier diagnosis and improved health outcomes.

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“…Additionally, to avoid/reduce obesity, proper exercise should be performed. Obesity is associated with the development of hypertension and depression [26]. Proper weight maintenance is important, not only to prevent hypertension onset, but also to promote better health among hypertensive patients.…”

Section: Discussionmentioning

confidence: 99%

Effects of Gender and Age on Dietary Intake and Body Mass Index in Hypertensive Patients: Analysis of the Korea National Health and Nutrition Examination

Dan

Kim

2020

IJERPH

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Controlling weight and dietary intake are important for hypertensive patients to manage their blood pressure. However, the interaction effect of gender and age on weight and dietary intake is not well known. The aim of this study was to examine the main and interaction effects of age and gender on body mass index (BMI) and dietary intake in hypertensive patients. We analyzed data from 4287 participants with hypertension (1600 participants 45–64 years old and 2687 participants 65 years or older) who participated in the Korea National Health and Nutrition Examination Survey (2013–2016). Two-way ANOVAs were conducted to examine the main and interaction effects of age and gender on BMI and dietary intake. Gender and age had significant main effects on BMI, intake of energy, cholesterol, sodium, and potassium. However, both gender and age illustrated interaction effects on BMI (F = 8.398, p = 0.004), energy intake (F = 12.882, p < 0.001), and cholesterol intake (F = 6.107, p = 0.014), while not showing any significant interaction effects on sodium (F = 3.547, p = 0.060) and potassium (F = 3.396, p = 0.066). Compared to the middle-aged group, BMI, energy intake, and cholesterol intake decreased in the older-aged group. However, the declines were steeper in men than in women. Therefore, both gender and age need to be considered for weight and dietary intake management for hypertensive patients.

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Prevalence and Predictors of Co-occurring Hypertension and Depression Among Community-Dwelling Older Adults

Cited by 11 publications

References 41 publications

Triggering factors related to hypertension in the City of Kendal, Indonesia

Triggering factors related to hypertension in the City of Kendal, Indonesia

Screening for depression at the primary care level: Evidence for policy decision-making from a facility in Pretoria, South Africa

Effects of Gender and Age on Dietary Intake and Body Mass Index in Hypertensive Patients: Analysis of the Korea National Health and Nutrition Examination

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