RESEARCH PAPER
Effect of symptoms of climacteric syndrome, depression and insomnia on self-rated work ability in peri- and post-menopausal women in non-manual employment
1
Department of Pathology and Rehabilitation of Speech, Medical University, Lublin, Poland
2
Department of Women’s Health, Institute of Rural Health, Lublin, Poland
3
Department of Prevention of Environmental Hazards and Allergology, Medical University, Warsaw, Poland
4
Institute of Statistics and Demography, Collegium of Economic Analysis, SGH School of Economics, Warsaw, Poland
Corresponding author
Ann Agric Environ Med. 2019;26(4):600-605
KEYWORDS
depressioninsomniaperi- and post-menopausal womenwork ability indexGreene Climacteric ScaleBeck DepressioninventoryAthens Insomnia Scaleclimacteric syndrome
TOPICS
ABSTRACT
Objective:
The aim of the study was evaluation of the relationship between severity of symptoms of climacteric syndrome, depressive disorders and sleep problems, and the self-rated work ability of peri-menopausal and post-menopausal women in non-manual employment.
Material and methods:
The study included 287 women aged 45–60 years, employed in various institutions as non-manual workers. Work Ability Index, Greene Climacteric Scale, Beck Depression Inventory, and Athens Insomnia Scale were used.
Results:
The examined peri-menopausal and post-menopausal women in non-manual employment obtained good work ability on the Work Ability Index. The severity of menopausal syndrome, according to the Greene Climacteric Scale, was moderate, placing the examined women between results for the general population of women and the pattern for menopausal women. Depressive disorders ranked between low mood and moderate depression. No depression was observed in 59% of the women, whereas moderate depression was observed in 39%, and severe depression in only 2%. Sleep disorders were on the border of normal range. As many as 46% of the women had no sleep problems, which was on the border of normal range in 36%. Only 19% of the examined women suffered from insomnia. Work ability correlated negatively with depression and insomnia severity, as well as with psychological and vasomotor symptoms of climacteric syndrome, but not to its somatic symptoms.
Conclusions:
Preventing the occurrence and treatment of menopausal symptoms, sleep and mood disorders may contribute to maintaining the work ability of women in peri- and post-menopausal age.
The aim of the study was evaluation of the relationship between severity of symptoms of climacteric syndrome, depressive disorders and sleep problems, and the self-rated work ability of peri-menopausal and post-menopausal women in non-manual employment.
Material and methods:
The study included 287 women aged 45–60 years, employed in various institutions as non-manual workers. Work Ability Index, Greene Climacteric Scale, Beck Depression Inventory, and Athens Insomnia Scale were used.
Results:
The examined peri-menopausal and post-menopausal women in non-manual employment obtained good work ability on the Work Ability Index. The severity of menopausal syndrome, according to the Greene Climacteric Scale, was moderate, placing the examined women between results for the general population of women and the pattern for menopausal women. Depressive disorders ranked between low mood and moderate depression. No depression was observed in 59% of the women, whereas moderate depression was observed in 39%, and severe depression in only 2%. Sleep disorders were on the border of normal range. As many as 46% of the women had no sleep problems, which was on the border of normal range in 36%. Only 19% of the examined women suffered from insomnia. Work ability correlated negatively with depression and insomnia severity, as well as with psychological and vasomotor symptoms of climacteric syndrome, but not to its somatic symptoms.
Conclusions:
Preventing the occurrence and treatment of menopausal symptoms, sleep and mood disorders may contribute to maintaining the work ability of women in peri- and post-menopausal age.
ACKNOWLEDGEMENTS
This study was conducted in the Institute of Rural Health,
Lublin, Poland, on the basis of the project “Mental and
Physical Health of Women in the Perimenopausal and
Postmenopausal Period in Terms of Preserving their Ability
to Work” within the framework of the third stage of the
multiannual program “Improving the Operational Safety
and Working Conditions” financed in the years 2014–2016
in the field of research and development by the Ministry of
Science and Higher Education/National Center for Research
and Development. Program Coordinator: Central Institute
for Labour Protection – National Research Institute
REFERENCES (33)
1.
Hammam RA, Abbas RA, Hunter MS. Menopause and work-the experience of middle-aged female teaching staff in an Egyptian governmental faculty of medicine. Maturitas 2012; 71: 294–300.
2.
Office for National Statistics, Labour Market Statistics London: Office for National Statistics. http://www.ons.gov.uk/ons/rel/....
3.
Geukes M, van Aalstb MP, Robroekc SJW, Lavend JSE, Oosterhofa H. The impact of menopause on work ability in women with severe menopausal symptoms. Maturitas 2016; 90: 1–8.
4.
Hunter MS, Hardy C, Norton S, Griffiths A. Study protocol of a multicentre randomised controlled trial of self-help cognitive behaviour therapy for working women with menopausal symptoms. Maturitas 2016; 92: 186–92.
5.
Ilmarinen JK, Tuomi K, Klockars M. Changes in the work ability of active employees over an 11-year period. Scand J Work Environ Health 1997; 23: 49–57.
6.
Griffiths A, MacLennan SJ, Hassard J. Menopause and work: an electronic survey of employees’ attitudes in the UK. Maturitas 2013; 76: 155–59.
7.
Słopień R, Słopień A, Warenik-Szymankiewicz A, Sajdak S. Depressive symptoms and hormonal profile in climacteric women. Clin Exp Obstet Gynecol. 2015; 42: 285–91.
8.
Silva RY, Câmara SM, Moreira MA et al. Correlation of Menopausal Symptoms and Quality of Life with Physical Performance in Middle-Aged Women. Rev Bras Ginecol Obstet. 2016; 38: 266–72.
9.
Prather AA, Puterman E, Epel ES, Dhabhar FS. Poor sleep quality potentiates stress-induced cytokine reactivity in postmenopausal women with high visceral abdominal adiposity. Brain Behav Immun. 2014; 35: 155–62.
10.
Guidozzi F. Sleep and sleep disorders in menopausal women. Climacteric. 2013; 16: 214–19.
11.
Ockene N, Shah KG, Hairston JG, Robinson M, Limacher L, Hale CB. Sleep duration, insomnia, and coronary heart disease among postmenopausal women in the Women’s Health Initiative. J Womens Health (Larchmt) 2013; 22: 477–86.
12.
Witczak W. Ability to hard mental work [Zdolność do ciężkiej pracy umysłowe]. Teka Kom. Praw. – OL PAN, 2008, 208–216. [in Polish].
13.
Soules MR, Sherman S, Parrott E, et al. Executive summary: Stages of Reproductive Aging Workshop (STRAW). Climacteric 2001; 4: 267–72.
14.
Harlow SD, Gass M, Hall JE, et al. STRAW + 10 Collaborative Group. Executive summary of the Stages of Reproductive Aging Workshop + 10: addressing the unfinished agenda of staging reproductive aging. J Clin Endocrinol Metab. 2012; 97(4): 1159–68.
15.
Greene JG. A factor analytic study of climacteric symptoms. J Psychosom Res. 1976; 20: 425–30.
16.
Kennedy P, Rogers BA. Anxiety and depression after spinal cord injury: A longitudinal analysis. Arch Phys Med Rehabil. 2000; 81: 932–37.
17.
Fornal-Pawłowska M, Wołyńczyk-Gmaj D, Szelenberger D. Walidacja Ateńskiej Skali Bezsenności. Psychiatria Polska 2011; 45: 211–21.
18.
Tuomi K, Ilmarinen J, Jahkola A, Katajarinne L, Tulkki A. Work Ability Index. Occupational Med. 2007; 57: 160.
19.
Juszczyk G, Czerw A, Religioni U, Olejniczak D, Walusiak-Skorupa J, Banas T, Mikos M, Staniszewska A. Work Ability Index (WAI) values in a sample of the working population in Poland. Ann Agric Environ Med. 2019; 26(1): 78–84. https://doi.org/10.26444/aaem/....
20.
Gartoulla P, Bell RJ, Worsley R, Davis SR. Menopausal vasomotor symptoms are associated with poor self-assessed work ability. Maturitas 2016; 87: 33–39.
21.
Hickey M, Riach K, Kachouie R, Jack G. No sweat: managing menopausal symptoms at work. J Psychosom Obstet Gynaecol. 2017; 38: 202–209.
22.
Dibonaventura MD, Chandran A, Hsu MA, Bushmakin A. Burden of vasomotor symptoms in France, Germany, Italy, Spain, and the United Kingdom. Int J Womens Health 2013; 24: 261–69.
23.
Jack G, Riach K, Bariola E, Pitts M, Schapper J, Sarrel P. Menopause in the workplace: What employers should be doing. Maturitas 2016; 85: 88–95.
24.
Campbell KE, Dennerstein L, Finch S, Szoeke CE. Impact of menopausal status on negative mood and depressive symptoms in a longitudinal sample spanning 20 years. Menopause 2017; 24: 490–96.
25.
Hickey M, Schoenaker DA, Joffe H, Mishra GD. Depressive symptoms across the menopause transition: findings from a large population-based cohort study Menopause 2016; 23: 1287–93.
26.
Bromberger JT, Schott LL, Avis NE et al. Psychosocial and health-related risk factors for depressive symptom trajectories among midlife women over 15 years: Study of Women’s Health Across the Nation (SWAN). Psychol Med. 2018; 6: 1–10.
27.
de Kruif M, Spijker AT, Molendijk ML. Depression during the perimenopause: A meta-analysis. J Affect Disord. 2016; 206: 174–80.
28.
Barnaś E, Krupińska A, Kraśnianin E, Raś R. Psychosocial and occupational functioning women in menopause. Przegląd Menopauzalny 2012; 4: 296–304.
29.
Griffiths A, Cox S, Griffiths R, Wong V. Women police officers: ageing, work and health. Report produced for the British Association for Women in Policing (BAWP). University of Nottingham, Institute of Work, Health and Organizations; 2006.
30.
Blümel JE, Can A, Mezones-Holguín E, et al. A multinational study of sleep disorders during female mid-life. Maturitas 2012; 72: 359–66.
31.
Hung HC, Lu FH, Ou HY, Wu JS, Yang YC, Chang CJ. Menopause is associated with self-reported poor sleep quality in women without vasomotor symptoms. Menopause 2014; 21: 834–39.
32.
Kim MJ, Yim G, Park HY. Vasomotor and physical menopausal symptoms are associated with sleep quality. PLoS One 2018; 20: e0192934.
33.
Sun D, Shao H, Li C, Tao M. Sleep disturbance and correlates in menopausal women in Shanghai. J Psychosom Res. 2014; 76: 237–41.
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