Mediating role of psychological capital between occupational stress and depressive symptoms in disease prevention and control personnel Article Swipe

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Shengnan Li , Hong Yu , Qiaoyun Zhang , Lin Ding , Qing Xin , Yushan Mao , Yuepu Pu , Lihong Yin ·

YOU? · · 2022 · Open Access · · DOI: https://doi.org/10.11836/jeom21365

BackgroundOccupational stress and depressive symptoms of disease prevention and control personnel are serious.ObjectiveTo investigate the relationship between occupational stress, psychological capital, and depressive symptoms of disease prevention and control personnel, and analyze the potential mediating effect of psychological capital on the relationship between occupational stress and depressive symptoms.MethodsFrom July to September 2020, a cluster random sampling method was used to select 2201 employees from 21 centers for disease control and prevention as study subjects covering all levels of administrative divisions in Jiangsu Province. A total of 2036 valid questionnaires were collected with a recovery rate of 92.5%. The Core Occupational Stress Scale, Patient Health Questionnaire, and Psychological Capital Questionnaire were used to investigate their occupational stress, depressive symptoms, and psychological capital. Stratified regression analysis was used to explore the effects of occupational stress and psychological capital on depressive symptoms. A mediating effect model was used to analyze and verify the potential mediating effect of psychological capital on the relationship between occupational stress and depressive symptoms.ResultsThe total scores in M (P25, P75) of occupational stress, depressive symptoms, and psychological capital in the target population were 42.0 (37.0, 48.0), 8.0 (4.0, 9.0), and 4.6 (4.0, 5.0) respectively. The positive rate of occupational stress was 31.0% (631/2036), and the positive rate of depressive symptoms was 22.0% (448/2036). The dimensional scores of organization and reward, and demand and effort of occupational stress were positively correlated with the total score of depressive symptoms [Spearman correlation coefficients (rs) were 0.371 and 0.269, P<0.05]. The dimensional scores of social support and autonomy of occupational stress and the score of psychological capital were negatively correlated with the total score of depressive symptoms (rs=−0.373, −0.112, −0.494, P<0.05). The organization and reward, and demand and effort had positive effects on depressive symptoms (b=0.188, 0.177, P<0.05), while social support and autonomy had negative effects on depressive symptoms (b=−0.290, −0.078, P<0.05), and associated with a 22.5% increase of explanatory variance. Psychological capital had a negative effect on depressive symptoms (b=−0.368, P<0.05), and associated with an 11.0% increase of explanatory variance. Psychological capital had mediating effects on the associations of social support, organization and reward, and autonomy with depressive symptoms, and the mediating effect values were −0.210 (95%CI: −0.253-−0.171), 0.096 (95%CI: 0.071-0.122), and −0.164 (95%CI: −0.229-−0.103), respectively. The corresponding mediating effect percentages were 40.23%, 26.97%, and 45.56%, respectively.ConclusionOccupational stress of disease prevention and control personnel can directly affect depressive symptoms, but also indirectly through psychological capital. Psychological capital plays a partial mediating role in the associations of social support, organization and reward, and autonomy of occupational stress with depressive symptoms. The occurrence of depressive symptoms can be reduced by decreasing occupational stress and increasing psychological capital.

Related Topics

Depression (Mood)

Psychological Stress

Disease

Capital (Architecture)

Concepts

Occupational stress Depressive symptoms Clinical psychology Psychological stress Psychology Control (management) Disease Capital (architecture) Medicine Psychiatry Anxiety Internal medicine Management Economics Geography Archaeology

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Type: article
Language: en
Landing Page: https://doaj.org/article/3b7f439908b94d97b63fe5c343074f65
OA Status: green
Related Works: 10
OpenAlex ID: https://openalex.org/W4404902327

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DOI: https://doi.org/10.11836/jeom21365

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Title: Mediating role of psychological capital between occupational stress and depressive symptoms in disease prevention and control personnel

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Language: en

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Publication year: 2022

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Publication date: 2022-04-01

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Authors: Shengnan Li, Hong Yu, Qiaoyun Zhang, Lin Ding, Qing Xin, Yushan Mao, Yuepu Pu, Lihong Yin

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Landing page: https://doaj.org/article/3b7f439908b94d97b63fe5c343074f65

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Concepts: Occupational stress, Depressive symptoms, Clinical psychology, Psychological stress, Psychology, Control (management), Disease, Capital (architecture), Medicine, Psychiatry, Anxiety, Internal medicine, Management, Economics, Geography, Archaeology

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abstract_inverted_index.an	332
abstract_inverted_index.as	71
abstract_inverted_index.be	433
abstract_inverted_index.by	435
abstract_inverted_index.in	80, 167, 179, 410
abstract_inverted_index.of	5, 24, 36, 77, 85, 95, 130, 153, 171, 198, 208, 217, 225, 235, 250, 255, 261, 271, 315, 335, 346, 386, 413, 421, 429
abstract_inverted_index.on	39, 136, 156, 289, 303, 324, 343
abstract_inverted_index.to	49, 59, 111, 126, 145
abstract_inverted_index.4.6	191
abstract_inverted_index.8.0	187
abstract_inverted_index.The	97, 195, 214, 247, 278, 374, 427
abstract_inverted_index.all	75
abstract_inverted_index.and	2, 8, 21, 27, 30, 45, 69, 105, 118, 133, 147, 162, 176, 190, 204, 219, 221, 223, 244, 253, 258, 280, 282, 284, 298, 309, 329, 350, 352, 357, 369, 382, 389, 417, 419, 439
abstract_inverted_index.are	11
abstract_inverted_index.but	397
abstract_inverted_index.can	392, 432
abstract_inverted_index.for	66
abstract_inverted_index.had	286, 300, 320, 340
abstract_inverted_index.the	14, 32, 40, 128, 149, 157, 180, 205, 232, 259, 268, 344, 358, 411
abstract_inverted_index.was	57, 124, 143, 201, 211
abstract_inverted_index.(rs)	241
abstract_inverted_index.2036	86
abstract_inverted_index.2201	61
abstract_inverted_index.42.0	184
abstract_inverted_index.5.0)	193
abstract_inverted_index.Core	98
abstract_inverted_index.July	48
abstract_inverted_index.P75)	170
abstract_inverted_index.also	398
abstract_inverted_index.from	63
abstract_inverted_index.rate	94, 197, 207
abstract_inverted_index.role	409
abstract_inverted_index.used	58, 110, 125, 144
abstract_inverted_index.were	89, 109, 183, 228, 242, 264, 362, 379
abstract_inverted_index.with	91, 231, 267, 311, 331, 354, 424
abstract_inverted_index.(4.0,	188, 192
abstract_inverted_index.(P25,	169
abstract_inverted_index.0.096	366
abstract_inverted_index.0.371	243
abstract_inverted_index.11.0%	333
abstract_inverted_index.2020,	51
abstract_inverted_index.22.0%	212
abstract_inverted_index.22.5%	313
abstract_inverted_index.31.0%	202
abstract_inverted_index.9.0),	189
abstract_inverted_index.model	142
abstract_inverted_index.plays	405
abstract_inverted_index.score	234, 260, 270
abstract_inverted_index.study	72
abstract_inverted_index.their	113
abstract_inverted_index.total	84, 165, 233, 269
abstract_inverted_index.valid	87
abstract_inverted_index.while	295
abstract_inverted_index.(37.0,	185
abstract_inverted_index.0.177,	293
abstract_inverted_index.0.269,	245
abstract_inverted_index.48.0),	186
abstract_inverted_index.92.5%.	96
abstract_inverted_index.Health	103
abstract_inverted_index.Scale,	101
abstract_inverted_index.Stress	100
abstract_inverted_index.affect	394
abstract_inverted_index.demand	222, 283
abstract_inverted_index.effect	35, 141, 152, 323, 360, 377
abstract_inverted_index.effort	224, 285
abstract_inverted_index.levels	76
abstract_inverted_index.method	56
abstract_inverted_index.random	54
abstract_inverted_index.scores	166, 216, 249
abstract_inverted_index.select	60
abstract_inverted_index.social	251, 296, 347, 414
abstract_inverted_index.stress	1, 44, 132, 161, 200, 227, 257, 385, 423, 438
abstract_inverted_index.target	181
abstract_inverted_index.values	361
abstract_inverted_index.verify	148
abstract_inverted_index.(95%CI:	364, 367, 371
abstract_inverted_index.26.97%,	381
abstract_inverted_index.40.23%,	380
abstract_inverted_index.45.56%,	383
abstract_inverted_index.Capital	107
abstract_inverted_index.Jiangsu	81
abstract_inverted_index.Patient	102
abstract_inverted_index.analyze	31, 146
abstract_inverted_index.between	16, 42, 159
abstract_inverted_index.capital	38, 135, 155, 178, 263, 319, 339, 404
abstract_inverted_index.centers	65
abstract_inverted_index.cluster	53
abstract_inverted_index.control	9, 28, 68, 390
abstract_inverted_index.disease	6, 25, 67, 387
abstract_inverted_index.effects	129, 288, 302, 342
abstract_inverted_index.explore	127
abstract_inverted_index.partial	407
abstract_inverted_index.reduced	434
abstract_inverted_index.reward,	220, 281, 351, 418
abstract_inverted_index.stress,	18, 115, 173
abstract_inverted_index.support	252, 297
abstract_inverted_index.through	400
abstract_inverted_index.P<0.05),	294, 308, 328
abstract_inverted_index.P<0.05).	277
abstract_inverted_index.P<0.05].	246
abstract_inverted_index.analysis	123
abstract_inverted_index.autonomy	254, 299, 353, 420
abstract_inverted_index.capital,	20
abstract_inverted_index.capital.	120, 402, 442
abstract_inverted_index.covering	74
abstract_inverted_index.directly	393
abstract_inverted_index.increase	314, 334
abstract_inverted_index.negative	301, 322
abstract_inverted_index.positive	196, 206, 287
abstract_inverted_index.recovery	93
abstract_inverted_index.sampling	55
abstract_inverted_index.subjects	73
abstract_inverted_index.support,	348, 415
abstract_inverted_index.symptoms	4, 23, 210, 237, 273, 291, 305, 326, 431
abstract_inverted_index.−0.164	370
abstract_inverted_index.−0.210	363
abstract_inverted_index.(b=0.188,	292
abstract_inverted_index.Province.	82
abstract_inverted_index.September	50
abstract_inverted_index.[Spearman	238
abstract_inverted_index.collected	90
abstract_inverted_index.divisions	79
abstract_inverted_index.employees	62
abstract_inverted_index.mediating	34, 140, 151, 341, 359, 376, 408
abstract_inverted_index.personnel	10, 391
abstract_inverted_index.potential	33, 150
abstract_inverted_index.symptoms,	117, 175, 356, 396
abstract_inverted_index.symptoms.	138, 426
abstract_inverted_index.variance.	317, 337
abstract_inverted_index.−0.078,	307
abstract_inverted_index.−0.112,	275
abstract_inverted_index.−0.494,	276
abstract_inverted_index.Stratified	121
abstract_inverted_index.associated	310, 330
abstract_inverted_index.correlated	230, 266
abstract_inverted_index.decreasing	436
abstract_inverted_index.depressive	3, 22, 46, 116, 137, 163, 174, 209, 236, 272, 290, 304, 325, 355, 395, 425, 430
abstract_inverted_index.increasing	440
abstract_inverted_index.indirectly	399
abstract_inverted_index.negatively	265
abstract_inverted_index.occurrence	428
abstract_inverted_index.personnel,	29
abstract_inverted_index.population	182
abstract_inverted_index.positively	229
abstract_inverted_index.prevention	7, 26, 70, 388
abstract_inverted_index.regression	122
abstract_inverted_index.(448/2036).	213
abstract_inverted_index.(631/2036),	203
abstract_inverted_index.correlation	239
abstract_inverted_index.dimensional	215, 248
abstract_inverted_index.explanatory	316, 336
abstract_inverted_index.investigate	13, 112
abstract_inverted_index.percentages	378
abstract_inverted_index.(b=−0.290,	306
abstract_inverted_index.(b=−0.368,	327
abstract_inverted_index.Occupational	99
abstract_inverted_index.associations	345, 412
abstract_inverted_index.coefficients	240
abstract_inverted_index.occupational	17, 43, 114, 131, 160, 172, 199, 226, 256, 422, 437
abstract_inverted_index.organization	218, 279, 349, 416
abstract_inverted_index.relationship	15, 41, 158
abstract_inverted_index.(rs=−0.373,	274
abstract_inverted_index.0.071-0.122),	368
abstract_inverted_index.Psychological	106, 318, 338, 403
abstract_inverted_index.Questionnaire	108
abstract_inverted_index.corresponding	375
abstract_inverted_index.psychological	19, 37, 119, 134, 154, 177, 262, 401, 441
abstract_inverted_index.respectively.	194, 373
abstract_inverted_index.Questionnaire,	104
abstract_inverted_index.administrative	78
abstract_inverted_index.questionnaires	88
abstract_inverted_index.serious.ObjectiveTo	12
abstract_inverted_index.symptoms.ResultsThe	164
abstract_inverted_index.−0.229-−0.103),	372
abstract_inverted_index.−0.253-−0.171),	365
abstract_inverted_index.symptoms.MethodsFrom	47
abstract_inverted_index.BackgroundOccupational	0
abstract_inverted_index.respectively.ConclusionOccupational	384
cited_by_percentile_year
countries_distinct_count	1
institutions_distinct_count	8
citation_normalized_percentile.value	0.29318345
citation_normalized_percentile.is_in_top_1_percent	False
citation_normalized_percentile.is_in_top_10_percent	False