Evaluating cutpoints for the MHI-5 and MCS using the GHQ-12: a comparison of five different methods

Kelly, Mark; Dunstan, Frank David John; Lloyd, Keith; Fone, David Lawrence

doi:10.1186/1471-244x-8-10

Cited by 230 publications

(200 citation statements)

References 18 publications

Supporting

Mentioning

189

Contrasting

Unclassified

Order By: Relevance

“…No consensus has been reached on what cut-off score should be used to indicate depression (Kavanaugh et al, 2006;Kelly et al, 2008;Mistry et al, 2007). Most recently, Kelly and colleagues used five statistical methods that yielded scores of 60, 68, and 76 (Kelly et al, 2008).…”

Section: Variablesmentioning

confidence: 99%

“…The MHI-5 uses a six-point response scale from "All of the time" to "None of the time" (McHorney et al, 1992). Both versions have been validated for use with diverse populations and have adequate psychometric properties (Berwick et al, 1991;Kelly, Dunstan, Lloyd, & Fone, 2008;Leiferman, Ollendick, Kunkel, & Christie, 2005;McHorney & Ware, 1995;McHorney, Ware, Lu, & Sherbourne, 1994;McHorney, Ware, & Raczek, 1993; month. How much of the time have you 1) been a very nervous person?…”

Section: Variablesmentioning

confidence: 99%

See 1 more Smart Citation

The Relationship Among Caregiver Depressive Symptoms, Parenting Behavior, and Family-Centered Care

Davis

Myers

Logsdon

et al. 2016

Journal of Pediatric Health Care

View full text Add to dashboard Cite

show abstract

Section: Variablesmentioning

confidence: 99%

Section: Variablesmentioning

confidence: 99%

The Relationship Among Caregiver Depressive Symptoms, Parenting Behavior, and Family-Centered Care

Davis

Myers

Logsdon

et al. 2016

Journal of Pediatric Health Care

View full text Add to dashboard Cite

show abstract

“…The average MHI-5 score was 21.8 (SD, 4.9), with scores < 60 likely representing the presence of a mental disorder with a minimal misclassification rate. 17 The mean POMS-B score was In terms of a formal mental health history, patients frequently endorsed having been evaluated for or diagnosed with depression (32.0%), anxiety (29.5%), stress (26.2%), and grief (15.0%). Of participants, 22.2% had received active treatment of a mood disorder within the past 6 months.…”

Section: Psychological Comorbiditiesmentioning

confidence: 99%

“…15 MHI-5 scores < 60 were associated with a mental disorder with a minimal misclassification rate. 16,17 The Myeloproliferative Neoplasm Symptom Assessment Form (MPN-SAF) was a validated measure given in conjunction with the Brief Fatigue Inventory (BFI) to assess disease burden among patients. 3 The Myeloproliferative Neoplasm Total Symptom Score (MPN TSS or MPN-10) is a compiled 10-item assessment of the most representative and pertinent of the MPN-SAF symptoms.…”

Section: Survey Contentmentioning

confidence: 99%

Comprehensively understanding fatigue in patients with myeloproliferative neoplasms

Scherber

Kosiorek

Senyak

et al. 2015

Cancer

View full text Add to dashboard Cite

BACKGROUND Patients with myeloproliferative neoplasms (MPNs) experience a high persistence, prevalence, and severity of fatigue. There is currently only limited information regarding factors that contribute to fatigue in patients with MPNs. METHODS A 70‐item, Internet‐based survey regarding fatigue was developed by MPN investigators and patients/advocates and hosted by the Mayo Clinic Survey Research Center. RESULTS Fatigue was found to be prevalent and severe among international survey respondents (1788 respondents). Higher body mass index (P<.001), current use of alcohol (P<.001), and current tobacco use (P = .0025) were found to be significantly associated with greater fatigue. Moderate/severe fatigue was present more frequently in those individuals who did not exercise compared with those who reported exercising at least once per week (P<.001). Medical comorbidities found to be significantly associated with greater fatigue included restless leg syndrome (P = .006), diabetes mellitus (P = .045), fibromyalgia (P < 0.001), chronic fatigue syndrome (P = .006), and chronic kidney disease (P = .02). Current use of antidepressants (P<.001), antihistamines (P = .0276), antianxiety medications (P = .0357), and prescription pain medications (P<.001) were found to be associated with worsened fatigue. Nearly 25% of respondents scored > 2 on the Patient Health Questionnaire, indicating a high probability of depression. Higher Brief Fatigue Inventory score, Myeloproliferative Neoplasm Total Symptom Score, and individual symptom items were all associated with a higher likelihood of depressive symptoms (P<.0001). CONCLUSIONS The management of fatigue should be multifactorial, with a comprehensive assessment and treatment plan to address all modifiable fatigue etiologies. Patients with MPNs likely have a higher prevalence of mood disturbances compared with the general population, suggesting the need to assess and intervene in this domain. Cancer 2016;122:477–485. © 2015 American Cancer Society.

show abstract

“…A cut-off score of 60 was used to clasUnauthenticated Download Date | 12/16/16 1:18 PM sify moderate to poor mental health (e.g., Theunissen, Jansen, & van Gestel, 2011). A cut-off score of 60 produces the smallest error rate, as defined by yielding the highest sensitivity and specificity rates (Kelly, Dunstan, Lloyd, & Fone, 2008). MHI-5 has displayed satisfactory validity for measuring mood disorders and anxiety disorders in a general population sample using DSM-IV criteria as a reference (Rumpf, Meyer, Hapke, & John, 2001).…”

Section: Mental Healthmentioning

confidence: 99%

At-Risk and Problem Gambling among Finnish Youth: The Examination of Risky Alcohol Consumption, Tobacco Smoking, Mental Health and Loneliness as Gender-Specific Correlates

Edgren

Castrén

Jokela

et al. 2016

Nordic Studies on Alcohol and Drugs

View full text Add to dashboard Cite

AIMS -The aims were to compare past-year at-risk and problem gambling (ARPG) and other at-risk behaviours (computer gaming, risky alcohol consumption, tobacco smoking) by age and gender, and to explore how ARPG is associated with risky alcohol consumption, tobacco smoking, poor mental health and loneliness in males and females. DESIGN -Data from respondents aged 15-28 (n = 822) were derived from a cross-sectional random sample of population-based data (n = 4484). The data were collected in 2011-2012 by telephone interviews. The Problem Gambling Severity Index (PGSI, score≥2) was used to evaluate ARPG. Prevalence rates for risk behaviours were compared for within gender-specific age groups. Regression models were gender-specific. RESULTS -The proportion of at-risk and problem gamblers was higher among males than females in all age groups except among 18-21-year-olds, while frequent computer gaming was higher among males in all age groups. The odds ratio (95% CI) of being a male ARPGer was 2.57 (1.40-4.74) for risky alcohol consumption; 1.95 (1.07-3.56) for tobacco smoking; 2.63 (0.96-7.26) for poor mental health; and 4.41 (1.20-16.23) for feeling lonely. Likewise, the odds ratio (95% CI) of being a female ARPGer was 1.19 (0.45-3.12) for risky alcohol consumption; 4.01 (1.43-11.24) for tobacco smoking; 0.99 (0.18-5.39) for poor mental health; and 6.46 (1.42-29.34) for feeling lonely. All 95% CIs of ARPG correlates overlapped among males and females. CONCLUSIONS -Overall, past-year at-risk and problem gambling and computer gaming seem to be more common among males than females; however, for risky alcohol consumption similar gender differences were evident only for the older half of the sample. No clear gender differences were seen in correlates associated with ARPG.

show abstract

Evaluating cutpoints for the MHI-5 and MCS using the GHQ-12: a comparison of five different methods

Cited by 230 publications

References 18 publications

The Relationship Among Caregiver Depressive Symptoms, Parenting Behavior, and Family-Centered Care

The Relationship Among Caregiver Depressive Symptoms, Parenting Behavior, and Family-Centered Care

Comprehensively understanding fatigue in patients with myeloproliferative neoplasms

At-Risk and Problem Gambling among Finnish Youth: The Examination of Risky Alcohol Consumption, Tobacco Smoking, Mental Health and Loneliness as Gender-Specific Correlates

Contact Info

Product

Resources

About