Wei Sheng Yan Jiu. 2018 Sep;47(5):782-788.
[Tshooj hauv Suav]
Abstract
HAIS TXOG:
Yuav kom nkag siab txog kev coj cwj pwm kev mob nkeeg thiab muaj feem cuam tshuam txog Dong and Bai Nationality cov hluas thaum nyob hauv Wuling mountainous cheeb tsam.
KEV HLOOV:
Los ntawm tus txheej txheem ntawm fawm kib, random thiab tag nrho cov qauv, 2176 Dong thiab Bai Nationality cov tub ntxhais hluas tau nrhiav txij lub Cuaj Hli mus rau Lub Kaum Hli 2016 nyob rau hauv ntug zos ntawm Wuling lub roob. Qhov kev tshawb nrhiav tau ua raws "Tus ntsuas thiab ntsuas tus qauv ntawm kev noj qab haus huv / tus cwj pwm pheej hmoo rau cov hluas hauv Suav Teb". Kev txheeb xyuas tus cwj pwm ntawm kev noj zaub mov kom ib puag ncig, tsis muaj kev tawm dag zog lub cev, txo lub luag haujlwm ntawm lub cev, haus luam yeeb, haus cawv thiab quav yeeb tshuaj hauv internet. Tsis muaj ib qho kev soj ntsuam cov neeg mob uas siv los soj ntsuam tau siv los soj ntsuam qhov muaj feem cuam tshuam txog kev coj cwj pwm noj qab haus huv.
COV LUS QHIA:
Cov ntawv tshaj tawm txog kev noj zaub mov kev tsis ncaj ncees, tsis muaj kev tawm dag zog lub cev, kev xav tua tus kheej 、 haus luam yeeb 、 haus cawv thiab kev quav yeeb quav tshuaj muaj 36. 95% (804), 55. 15% (1200), 19. 03% (414), 13. 60% (296), 30. 88% (672) thiab 7. 12% (155), ua ntu zus. Logistic regression ntsuam xyuas pom tau hais tias cov kev pheej hmoo ntawm kev tsis ncaj zaub mov yog me nyuam yaus (LOSSIS = 1. 275, P = 0. 012), tsis tawm dag zog lub cev (LOSSIS = 1. 751, P <0. 001), kev nyuaj siab (LOSSIS = 1. 297, P = 0. 046), kev xav tua tus kheej (LOSSIS = 1. 280, P = 0. 036) thiab kev quav yeeb quav tshuaj hauv internet (LOSSIS = 1. 753, P = 0. 001). Cov kev pheej hmoo txaus ntshai tsis muaj kev tawm dag zog yog tsev kawm qib siab (LOSSIS = 1. 839, P <0. 001), tsev kawm ntawv (LOSSIS = 1. 478, P <0. 001), tsev neeg nuclear (LOSSIS = 1. 240, P = 0. 034) thiab kev noj zaub mov zoo (LOSSIS = 1. 717, P <0. 001). Qhov pheej hmoo txaus ntshai ntawm kev tua tus kheej yog menyuam yaus (LOSSIS = 1. 789, P <0. 001), tsuas yog menyuam yaus (LOSSIS = 1. 452, P = 0. 030), sib ntaus (LOSSIS = 1. 894, P <0. 001), kho siab (ntau zaus los sis tas li LOS = = 4 484, P <0. 001), pw tsis tsaug zog (feem ntau lossis ib txwm OR = 2. 392, P <0. 001), kev nyuaj siab (LOSSIS = 2. 555, P <0 . 001) thiab kev tiv thaiv hauv internet (LOSSIS = 1. 766, P = 0. 004), qhov tiv thaiv tau nyob hauv thaj chaw (LOSSIS = 0. 755, P = 0. 029). Cov teeb meem pheej hmoo ntawm kev haus luam yeeb tau nyob hauv tsev (LOSSIS = 1. 638, P = 0. 004), sib ntaus (LOSSIS = 2. 315, P <0. 001), pw tsis tsaug zog (feem ntau lossis ib txwm OR = 2. 116, P = 0. 004) thiab haus dej haus (LOSSIS = 5. 456, P <0. 001), cov khoom tiv thaiv yog cov ntxhais hauv tsev kawm (LOSSIS = 0. 132, P <0. 001) thiab cov ntaub ntawv teev npe (saum nruab nrab lossis zoo OR = 0. 571, P = 0. 004). Cov kev pheej hmoo txaus ntshai haus yog tag nrho cov nyiaj tau los txhua hli ntawm tsev neeg (saum toj no 3000 yuan LOSSIS = 1. 648, P = 0. 015), sib ntaus (LOSSIS = 1. 990, P <0. 001), kev tua tus kheej (LOSSIS = 1). 363, P = 0. 019), haus luam yeeb (LOSSIS = 5. 351, P <0. 001) thiab kev quav yeeb quav tshuaj hauv internet (LOSSIS = 1. 797, P = 0. 002), qhov kev tiv thaiv tiv thaiv yog tub ntxhais hluas (LOSSIS = 0. 459, P <0. 001). Cov kev pheej hmoo txaus ntshai ntawm kev quav yeeb quav tshuaj hauv internet yog kev noj zaub mov tsis zoo (LOSSIS = 1. 812, P = 0. 001), kev tua tus kheej (LOSSIS = 1. 843, P = 0. 002), kho siab (feem ntau lossis ib txwm LOS = = 3 029, P = 0. 003), haus cawv (LOSSIS = 2. 028, P <0. 001) thiab ua si rau kev ua si (OR = 3. 650, P <0. 001).
XAUS:
Cov tub ntxhais hluas Dong thiab Bai muaj ntau tus neeg haus luam yeeb, haus dej haus cawv thiab siv cwj pwm hauv internet, thaum ntxhais hluas yuav tshwm sim kev noj haus, tsis muaj lub cev qoj ib ce thiab suicidal ideation. Insomnia thiab tsis muaj kev puas siab puas ntsws xws li kev kho siab thiab kev nyuaj siab ua rau muaj ntau yam kev muaj feem xyuam rau kev noj qab haus huv. Kev ua ke yuav tsum tau ua kom tiav los pab tiv thaiv thiab cuam tshuam cov kev coj noj coj ua ntawm kev nyab xeeb ntawm Dong thiab Bai Nationality cov ntxhais hluas.
KEYWORDS: Bai Minority; Dong Minority; cov tub ntxhais hluas; kev cwj pwm kev mob nkeeg; nyob deb nroog
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