Predictors of Mental Health in Midlife and Older Women: Results from the Australian Healthy Aging of Women Study

2.50
Hdl Handle:
http://hdl.handle.net/10755/304510
Category:
Abstract
Type:
Presentation
Title:
Predictors of Mental Health in Midlife and Older Women: Results from the Australian Healthy Aging of Women Study
Author(s):
Seib, Charrlotte; Anderson, Debra Jane
Lead Author STTI Affiliation:
Phi Delta
Author Details:
Charrlotte Seib, PhD, MN, RN, c.seib@qut.edu.au; Debra J. Anderson, RN, BA, GDNS (ed), MN, PhD;
Abstract:

Session presented on: Friday, July 26, 2013

Purpose: To examine the extent to which socio-demographic characteristics, modifiable lifestyle factors and health status influence the mental health of midlife and older Australian women from the Australian Healthy Aging of Women (HOW) study.

Methods: Data on health status, chronic disease and modifiable lifestyle factors were collected from a random sample of 340 women aged 40-65 years, residing in Queensland, Australia in 2011. Structural equation modelling (SEM) was used to measure the effect of a range of socio-demographic characteristics (marital status, age, income), modifiable lifestyle factors (caffeine intake, alcohol consumption, exercise, physical activity, sleep), and health markers (self-reported physical health, history of chronic illness) on the latent construct, mental health. Mental health was evaluated using the Medical Outcomes Study Short Form 12 (SF-12®) and the Center for Epidemiologic Studies Depression Scale (CES-D).

Results: The model was a good fit for the data (χ2 = 40.166, df =312, p 0.125, CFI = 0.976, TLI = 0.950, RMSEA = 0.030, 90% CI = 0.000-0.053); the model suggested mental health was negatively influenced by sleep disturbance (β = -0.628), sedentary lifestyle (β = -0.137), having been diagnosed with one or more chronic illnesses (β = -0.203), and poor self-reported physical health (β = - 0.161). While mental health was associated with sleep, it was not correlated with many other lifestyle factors (BMI (β = -0.050), alcohol consumption (β = 0.079), or cigarette smoking (β = 0.008)) or background socio-demographic characteristics (age (β = 0.078), or income (β = -0.039)).

Conclusion: While research suggests that it is important to engage in a range health promoting behaviours to preserve good health, we found that only sleep disturbance, physical health, chronic illness and level of physical activity predicted current mental health. However, while socio-demographic characteristics and modifiable lifestyle factors seemed to have little direct impact on mental health, they probably had an indirect effect.

Keywords:
modifiable lifestyle factors; mental health
Repository Posting Date:
22-Oct-2013
Date of Publication:
22-Oct-2013
Conference Date:
2013
Conference Name:
24th International Nursing Research Congress
Conference Host:
Sigma Theta Tau International, the Honor Society of Nursing
Conference Location:
Prague, Czech Republic
Description:
24th International Nursing Research Congress Theme: Bridge the Gap Between Research and Practice Through Collaboration. Held at the Hilton Prague Hotel.
Note:
This is an abstract-only submission. If the author has submitted a full-text item based on this abstract, you may find it by browsing the Virginia Henderson Global Nursing e-Repository by author. If author contact information is available in this abstract, please feel free to contact him or her with your queries regarding this submission.

Full metadata record

DC FieldValue Language
dc.language.isoen_USen_GB
dc.type.categoryAbstracten_GB
dc.typePresentationen_GB
dc.titlePredictors of Mental Health in Midlife and Older Women: Results from the Australian Healthy Aging of Women Studyen_GB
dc.contributor.authorSeib, Charrlotteen_GB
dc.contributor.authorAnderson, Debra Janeen_GB
dc.contributor.departmentPhi Deltaen_GB
dc.author.detailsCharrlotte Seib, PhD, MN, RN, c.seib@qut.edu.au; Debra J. Anderson, RN, BA, GDNS (ed), MN, PhD;en_GB
dc.identifier.urihttp://hdl.handle.net/10755/304510-
dc.description.abstract<p>Session presented on: Friday, July 26, 2013</p><b>Purpose: </b>To examine the extent to which socio-demographic characteristics, modifiable lifestyle factors and health status influence the mental health of midlife and older Australian women from the Australian Healthy Aging of Women (HOW) study. <p><b>Methods: </b>Data on health status, chronic disease and modifiable lifestyle factors were collected from a random sample of 340 women aged 40-65 years, residing in Queensland, Australia in 2011. Structural equation modelling (SEM) was used to measure the effect of a range of socio-demographic characteristics (marital status, age, income), modifiable lifestyle factors (caffeine intake, alcohol consumption, exercise, physical activity, sleep), and health markers (self-reported physical health, history of chronic illness) on the latent construct, mental health. Mental health was evaluated using the Medical Outcomes Study Short Form 12 (SF-12<sup>®</sup>) and the Center for Epidemiologic Studies Depression Scale (CES-D). <p><b>Results: </b>The model was a good fit for the data (χ<sup>2</sup> = 40.166, df =312, p 0.125, CFI = 0.976, TLI = 0.950, RMSEA = 0.030, 90% CI = 0.000-0.053); the model suggested mental health was negatively influenced by sleep disturbance (<i>β</i> = -0.628), sedentary lifestyle (<i>β</i> = -0.137), having been diagnosed with one or more chronic illnesses (<i>β</i> = -0.203), and poor self-reported physical health (<i>β</i> = - 0.161). While mental health was associated with sleep, it was not correlated with many other lifestyle factors (BMI (<i>β</i> = -0.050), alcohol consumption (<i>β</i> = 0.079), or cigarette smoking (<i>β</i> = 0.008)) or background socio-demographic characteristics (age (<i>β</i> = 0.078), or income (<i>β</i> = -0.039)). <p><b>Conclusion: </b>While research suggests that it is important to engage in a range health promoting behaviours to preserve good health, we found that only sleep disturbance, physical health, chronic illness and level of physical activity predicted current mental health. However, while socio-demographic characteristics and modifiable lifestyle factors seemed to have little direct impact on mental health, they probably had an indirect effect.en_GB
dc.subjectmodifiable lifestyle factorsen_GB
dc.subjectmental healthen_GB
dc.date.available2013-10-22T20:37:41Z-
dc.date.issued2013-10-22-
dc.date.accessioned2013-10-22T20:37:41Z-
dc.conference.date2013en_GB
dc.conference.name24th International Nursing Research Congressen_GB
dc.conference.hostSigma Theta Tau International, the Honor Society of Nursingen_GB
dc.conference.locationPrague, Czech Republicen_GB
dc.description24th International Nursing Research Congress Theme: Bridge the Gap Between Research and Practice Through Collaboration. Held at the Hilton Prague Hotel.en_GB
dc.description.noteThis is an abstract-only submission. If the author has submitted a full-text item based on this abstract, you may find it by browsing the Virginia Henderson Global Nursing e-Repository by author. If author contact information is available in this abstract, please feel free to contact him or her with your queries regarding this submission.en_GB
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