Cross-Lagged Analysis of Maternal Dyadic Coping and Psychosomatic Symptom Clusters

doi:10.12280/gjszjk.20250253

Abstract

Abstract:

Objective: To explore the developmental trends of maternal dyadic coping and psychosomatic symptom clusters (fatigue, sleep disorders, and anxiety and depressive symptoms), and to analyze the correlation and predictive relationship between the two. Methods: The convenience sampling method was used to select 170 women who were hospitalized and gave birth in Affiliated Nanjing Tongren Hospital of Southeast University School of Medicine, from July 2023 to June 2024. The follow-up surveys of maternal dyadic coping and psychosomatic symptom clusters were carried out in the first month after delivery (T1), the second month after delivery (T2), and the third month after delivery (T3), respectively. The Pearson correlation analysis and cross-lagged mode were used to analyze the correlation and predictive relationship. Results: Excluding 8 invalid questionnaires, a total of 162 valid questionnaires were collected in this study (95.29% recovery rate). Dyadic coping scores (F=8.338, P<0.001), fatigue scores (F=8.126, P<0.001), sleep quality scores (F=4.110, P=0.032), and anxiety and depression scores (F=9.317, P<0.001) at the 3 time points. Pearson correlation analyses showed that the maternal at the 3 time points dyadic coping and psychosomatic symptom clusters were significantly correlated at three time points (all P<0.05). Cross-lagged modeling showed that the dyadic coping levels on average had the negatively predicted correlation with the psychosomatic symptom clusters at the next node (all P<0.05), and that the psychosomatic symptom clusters did not have the predicted correlation with the dyadic coping longitudinally at the next node (all P>0.05). Conclusions: The dyadic coping ability of parturients is closely related to their mental and psychological symptom clusters. It is recommended that clinical workers dynamically monitor the dyadic coping status and changes in psychological symptoms of parturients at each stage, and implement early intervention for those with poor dyadic coping ability.

Key words: Postpartum period, Fatigue, Sleep disorders, Anxiety, Depression, Surveys questionnaires, Longitudinal studies, Dyadic coping

XU Jin-jin, ZHENG Li. Cross-Lagged Analysis of Maternal Dyadic Coping and Psychosomatic Symptom Clusters[J]. Journal of International Reproductive Health/Family Planning, 2025, 44(6): 448-452.

Figures/Tables 4

References 24

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项目	分类	例数	百分比（%）
年龄（岁）	<30	85	52.47
年龄（岁）	≥30	77	47.53
居住地	农村	35	21.60
	乡镇	52	32.10
	城市	75	46.30
人均月收入（元）	≤3 000	26	16.05
	3 000~6 000	56	34.57
	6 000~10 000	58	35.80
	>10 000	22	13.58
职业	企事业单位	51	31.48
	农民	26	16.05
	职工/职员	54	33.33
	无固定职业	31	19.14
文化程度	初中及以下	47	29.01
	高中	66	40.74
	专科及以上	49	30.25
分娩方式	剖宫产	34	20.99
分娩方式	经阴道	128	79.01
产次（次）	1	127	78.40
	2	28	17.28
	≥3	7	4.32
喂养方式	母乳	79	48.77
	人工	35	21.60
	混合	48	29.63
喂养压力	有	92	56.79
喂养压力	无	70	43.21

项目	分类	例数	百分比（%）
年龄（岁）	<30	85	52.47
年龄（岁）	≥30	77	47.53
居住地	农村	35	21.60
	乡镇	52	32.10
	城市	75	46.30
人均月收入（元）	≤3 000	26	16.05
	3 000~6 000	56	34.57
	6 000~10 000	58	35.80
	>10 000	22	13.58
职业	企事业单位	51	31.48
	农民	26	16.05
	职工/职员	54	33.33
	无固定职业	31	19.14
文化程度	初中及以下	47	29.01
	高中	66	40.74
	专科及以上	49	30.25
分娩方式	剖宫产	34	20.99
分娩方式	经阴道	128	79.01
产次（次）	1	127	78.40
	2	28	17.28
	≥3	7	4.32
喂养方式	母乳	79	48.77
	人工	35	21.60
	混合	48	29.63
喂养压力	有	92	56.79
喂养压力	无	70	43.21

时间节点	二元应对							精神心理症状群
时间节点	DCI得分	压力沟通	积极应对	消极应对	代办应对	共同应对	应对评价	MFL得分	PSQI得分	HADS得分
T1	99.74±11.46	27.33±6.27	25.53±5.69	18.20±5.04	13.22±3.86	15.46±5.19	6.63±2.02	45.07±9.85	6.32±1.49	21.15±6.51
T2	104.79±11.97^a	28.42±5.39^a	26.62±5.37^a	19.29±5.11^a	13.91±3.74	16.55±5.02	7.12±2.11^a	43.26±8.57^a	5.60±1.34^a	19.76±6.35^a
T3	98.59±10.58^b	26.84±5.50^ab	24.74±5.18^b	18.11±5.31^b	12.83±3.67	15.07±5.04	6.24±2.14^b	40.15±8.64^ab	5.54±1.40^a	16.90±6.42^ab
F	8.338	4.336	4.114	4.425	3.725	3.199	4.682	8.126	4.110	9.317
P	<0.001	0.027	0.032	0.025	0.052	0.084	0.015	<0.001	0.032	<0.001

时间节点	二元应对							精神心理症状群
时间节点	DCI得分	压力沟通	积极应对	消极应对	代办应对	共同应对	应对评价	MFL得分	PSQI得分	HADS得分
T1	99.74±11.46	27.33±6.27	25.53±5.69	18.20±5.04	13.22±3.86	15.46±5.19	6.63±2.02	45.07±9.85	6.32±1.49	21.15±6.51
T2	104.79±11.97^a	28.42±5.39^a	26.62±5.37^a	19.29±5.11^a	13.91±3.74	16.55±5.02	7.12±2.11^a	43.26±8.57^a	5.60±1.34^a	19.76±6.35^a
T3	98.59±10.58^b	26.84±5.50^ab	24.74±5.18^b	18.11±5.31^b	12.83±3.67	15.07±5.04	6.24±2.14^b	40.15±8.64^ab	5.54±1.40^a	16.90±6.42^ab
F	8.338	4.336	4.114	4.425	3.725	3.199	4.682	8.126	4.110	9.317
P	<0.001	0.027	0.032	0.025	0.052	0.084	0.015	<0.001	0.032	<0.001

项目	DCI T1	MFL T1	PSQI T1	HADS T1	DCI T2	MFL T2	PSQI T2	HADS T2	DCI T3	MFL T3	PSQI T3	HADS T3
DCI T1	1
MFL T1	-0.415**	1
PSQI T1	-0.392**	0.560**	1
HADS T1	-0.456**	0.491**	0.482**	1
DCI T2	0.562**	-0.302*	-0.379**	-0.462**	1
MFL T2	-0.395**	0.488**	0.461**	0.356*	-0.398**	1
PSQI T2	-0.303*	0.446**	0.470**	0.477**	-0.374**	0.451**	1
HADS T2	-0.356**	0.410**	0.439**	0.459**	-0.411**	0.467**	0.492**	1
DCI T3	0.456**	-0.279*	-0.504**	-0.306*	0.450**	-0.455**	-0.393**	-0.461**	1
MFL T3	-0.283*	0.360**	0.310**	0.381**	-0.374**	0.416**	0.410**	0.477**	-0.372**	1
PSQI T3	-0.267*	0.322**	0.405**	0.390**	-0.361**	0.422**	0.450**	0.450**	-0.391**	0.410**	1
HADS T3	-0.310*	0.358**	0.399**	0.403**	-0.399**	0.437**	0.402**	0.416**	-0.388**	0.443**	0.424**	1