This article explored differences in life balance scores between demographic groups and whether life balance predicted perceived stress. This research used secondary analysis of 1,048 subjects from a database for the Life Balance Inventory (LBI). Analysis of variance showed that the profile of people with the highest total life balance scores was: white, 61 years or older, earned a master's degree, had incomes between $81,000 and $100,000, lived in the suburbs, had two children (but the children were not at home), were not working (if working, they were self-employed), owned a home, and lived in the United States. Other demographic groups differed in their LBI subscale scores. Regression analysis showed that life balance scores predicted lower perceived stress scores. This research provides additional construct validity evidence for the LBI and its associated Life Balance Model.
BeckM., & ArnoldJ. (2009). Gendered time use at home: An ethnographic examination of leisure time in middle-class families. Leisure Studies, 28, 121–142.
2.
CarmackC. L.BoudreauxE.Amaral-MelendezM.BrantleyP. J., & de MoorC. (1999). Aerobic fitness and leisure physical activity as moderators of the stress-illness relation. Annals of Behavioral Medicine, 21, 251–257.
3.
CohenS.KamarkT., & MermelsteinR. (1983). A global measure of perceived stress. Journal of Health and Social Behavior, 24, 385–396.
4.
CraigL. (2006). Children and the revolution: A time-diary analysis of the impact of motherhood on daily workload. Journal of Sociology, 42, 125–143.
5.
CraigL., & PoojaS. (2009). Work and family: How does the (gender) balance change as children grow?Gender, Work and Organization, 16, 684–709.
6.
ForhanM., & BackmanC. (2010). Exploring occupational balance in adults with rheumatoid arthritis. OTJR: Occupation, Participation and Health, 30, 133–141.
HashimH.FreddyG., & RosmatunisahA. (2012). Relationships between negative affect and academic achievement among secondary school students: The mediating effects of habituated exercise. Journal of Physical Activity & Health, 9, 1012–1019.
9.
HicksonD. A.RouxDiez A. V.GebreabS. Y.WyattS. B.DubbertP. M.SarpongD. F.TaylorH. A. (2012). Social patterning of cumulative biological risk by education and income among African Americans. American Journal of Public Health, 102, 1362–1369.
10.
HillR. (1949). Families under stress. New York: Harper and Row.
11.
HillR. (2003). Generic features of families under stress. In BossP. & MulliganC. (Eds.). Family stress: Classic and contemporary readings, (pp. 177–190). Thousand Oaks, CA: SAGE Publications.
12.
HåkanssonC., & MatuskaK. (2010). How life balance is perceived by Swedish women recovering from a stress-related disorder: A validation of the Life Balance Model. Journal of Occupational Science, 17, 112–119.
13.
KahnemanD., & DeatonA. (2010). High income improves evaluation of life but not emotional well-being. Proceedings of the National Academy of Sciences of the United States of America, 107, 16489–16493.
14.
KemenyM. E. (2003). The psychobiology of stress. Current Directions in Psychological Science, 12, 124–129.
15.
Kiecolt-GlaserJ. K.McGuireL.RoblesT. F., & GlaserR. (2002). Emotions, morbidity, and mortality: New perspectives from psychoneuroimmunology. Annual Review of Psychology, 53, 83–107.
16.
KingstonA. (2012). The wealth-health paradox. Maclean's, 125, 60–61.
17.
LaveeY.SharlinS., & KatzR. (1996). The effect of parenting stress on marital quality: An integrated mother—father model. Journal of Family Issues, 17, 114–135.
18.
LovibondS. H., & LovibondP. F. (1995). Manual for the Depression Anxiety Stress Scales (2nd ed.). Sydney, Australia: The Psychology Foundation of Australia Inc.
19.
MatuskaK. (2012a). Validity evidence for a model and measure of life balance. OTJR: Occupation, Participation, and Health, 32, 229–237.
20.
MatuskaK. (2012b). Description and development of the Life Balance Inventory. OTJR: Occupation, Participation, and Health, 32, 220–228.
21.
MatuskaK. M., & ChristiansenC. H. (2008). A proposed model of lifestyle balance. Journal of Occupational Science, 15, 9–19.
22.
MatuskaK. M., & EricksonB. (2008). Lifestyle balance: How it is described and experienced by women with multiple sclerosis. Journal of Occupational Science, 15, 20–26.
23.
MetLife & National Alliance for Caregiving. (2006, July). The MetLife caregiving cost study: Productivity losses to U.S. business. Westport: CT: MetLife Mature Market Institute, National Alliance for Caregiving. Available at http://www.caregiving.org/data/Caregiver%20Cost%20Study.pdf.
24.
SapolskyR. M. (2004). Why zebras don't get ulcers (3rd ed.). New York: Henry Holt and Co., LLC.
25.
SchneidermanI.Zilberstein-KraY.LeckmanJ., & FeldmanR. (2011). Love alters autonomic reactivity to emotions. Emotion (Washington, D.C.), 11, 1314–1321.
26.
ScullyD.KremerJ.MeadeM. M.GrahamR., & DudgeonK. (1998). Physical exercise and psychological well-being: A critical review. British Journal of Sports Medicine, 32, 111–120.
27.
SteinL. I.ForanA. C., & CermakS. (2011). Occupational patterns of parents of children with autism spectrum disorder: Revisiting Matuska and Christiansen's Model of Lifestyle Balance. Journal of Occupational Science, 18, 115–130.
28.
TaylorJ. Y.WashingtonO. G. M.ArtiniamN.T., & LichtenbergP. (2007). Parental stress among African American parents and grandparents. Issues in Mental Health Nursing, 28, 373–387.
29.
TaylorM. K.MarkhamA. E.ReisJ. P.PadillaG. A.PotteratE. G.DrummondS. P., & Mujica-ParodiL. P. (2008). Physical fitness influences stress reactions to extreme military training. Military Medicine, 173, 738–742.
United States Census Bureau. (2002, July). The Big Payoff: Educational Attainment and Synthetic Estimates of Work-Life Earnings. Retrieved from http://www.census.gov/prod/2002pubs/p23-210.pdf.
32.
United States Department of Health and Human Services, Office of Disease Prevention and Health Promotion. (2013). Healthy People 2020. Washington, DC: Author. Available at http://www.healthypeople.gov/2020/about/default.aspx.
33.
van der HorstM., & CofféH. (2012). How friendship network characteristics influence subjective well-being. Social Indicators Research, 107, 509–529.
34.
WagmanP.HåkanssonC.MatuskaK.BjörklundA., & FalkmerT. (2012). Validating the model of lifestyle balance on a working Swedish population. Journal of Occupational Science, 19, 106–114.
