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    쀑ꡭ 쀑고령 측의 κ°€μ‘± λŒλ΄„κ³Ό λŒλ΄„μžμ˜ κ±΄κ°•κ³Όμ˜ 관계

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    ν•™μœ„λ…Όλ¬Έ (석사) -- μ„œμšΈλŒ€ν•™κ΅ λŒ€ν•™μ› : λ³΄κ±΄λŒ€ν•™μ› 보건학과(보건정책관리학전곡), 2021. 2. κΉ€ν™μˆ˜.μ€‘κ΅­μ˜ μΈκ΅¬λŠ” 2010 λ…„λΆ€ν„° 2019 λ…„κΉŒμ§€λŠ” λΉ λ₯΄κ²Œ κ³ λ Ήν™”λ˜μ–΄ 60 μ„Έ 이상 인ꡬ λΉ„μœ¨μ€ 13.26 %μ—μ„œ 18.1 %둜 μ¦κ°€ν–ˆλ‹€ (NHCC, 2011-2020; NBSC, 2011-2020). 쀑ꡭ κ³ λ Ήν™” 문제 λΉ λ₯΄κ²Œ μ‹¬ν•˜ν•˜κ³  있으며 κ°€μ‘± λŒλ΄„μ€ 노인 λŒλ΄„μ˜ μ••λ ₯을 μ™„ν™”ν•˜λŠ” 데 μ€‘μš”ν•œ 역할이닀. κ·ΈλŸ¬λ‚˜ κ°€μ‘± λŒλ΄„μ€ 신체적, 정신적 건강에 뢀정적인 κ²°κ³Όλ₯Ό μ΄ˆλž˜ν•  수 μžˆλ‹€. 특히 λŒλ΄„μ˜ νš¨κ³Όμ— λŒ€ν•œ μ—°κ΅¬λŠ” μ„œμ–‘ κ΅­κ°€μ—μ„œ 많이 μ΄λ£¨μ–΄μ§‘λ‹ˆλ‹€. μ„œκ΅¬ κ΅­κ°€ λŒλ΄„μ˜ 연ꡬ κ²°κ³Όκ°€ μ„œκ΅¬ ꡭ가와 κ°€μ‘± ꡬ쑰및 관계λ₯Ό λ‹€λ₯Έμ€‘κ΅­ μ‚¬νšŒμ— μ μš©λ˜λŠ”μ§€λŠ” μ˜λ¬Έμ΄λ‹€. λ”°λΌμ„œ λ³Έ μ—°κ΅¬λŠ” 쀑ꡭ λŒ€ν‘œμ μΈ 자료λ₯Ό μ‚¬μš©ν•˜μ—¬ μ€‘κ΅­μ˜ 쀑고령측 μ„ΈλŒ€κ°„ κ°€μ‘± λŒλ΄„κ³Ό λŒλ΄„μžμ˜ 건강 μƒνƒœμ™€μ˜ 관계λ₯Ό μ‚΄νŽ΄λ³΄κ³  κ΄€λ ¨ μš”μΈμ„ ν•˜μ•…ν•˜κ³ μž ν•˜μ˜€λ‹€. 이 μ—°κ΅¬λŠ” μ „μ²΄μ μœΌλ‘œ 그리고 μ„Έ 가지 λŒλ΄„ μœ ν˜• κ·Έλ£Ή κ°„μ˜ 관계λ₯Ό λΉ„κ΅ν–ˆλ‹€(λΆ€λͺ¨λ‹˜ 돌보자만, μ†μžλ…€ λŒλ΄„μžλ§Œ, λ‘˜λ‹€ λŒλ΄„μž). 이 μ—°κ΅¬λŠ” 쀑ꡭ 건강 및 퇴직 νŒ¨λ„μ‘°μ‚¬ (CHARLS) 4 μ°¨ 자료λ₯Ό 이차 뢄석을 μˆ˜ν–‰ν•˜μ˜€λ‹€. CHARLS μžλ£ŒλŠ” μ€‘κ΅­μ—μ„œ 45 μ„Έ 이상 성인을 λŒ€μƒμœΌλ‘œ ν•œ μ „κ΅­ νŒ¨λ„μ‘°μ‚¬μ΄λ‹€. μ—°κ΅¬μ˜ κ°œλ…μ  틀은 λ¬Έν—Œμ— λŒ€ν•œ 포괄적인 κ²€ν† λ₯Ό 톡해 λ„μΆœλ˜μ—ˆκ³  개인 νŠΉμ„±, κ°€μ‘± μžμ›, μ‚¬νšŒμ  μ°Έμ—¬, κ°€μ‘± λŒλ΄„ν˜„ν™©, κ±΄κ°•μƒν™œμ„ ν¬ν•¨ν•œ 뢄석 λͺ¨λΈμ„ λ§Œλ“œλŠ” 데 ν™œμš©λ˜μ—ˆλ‹€. κ°€μ‘± λŒλ΄„ ν˜„ν™©μ€ λŒλ΄„ μ’…λ₯˜, λŒλ΄„ 강도, λŒλ΄„ 기간을 ν¬ν•¨ν•˜μ˜€λ‹€. λŒλ΄„ μœ ν˜•μ€ λΆ€λͺ¨λ‹˜λ§Œ λŒλ΄„,μ†μžλ…€λ§Œ λŒλ΄„, λ‘˜λ‹€ λŒλ΄„μ„ ν¬ν•¨ν•˜μ˜€λ‹€. 건강상황은 주관적 건강인식 및 μš°μšΈκ°μ„ 포함을 ν•˜μ˜€λ‹€. 주관적 건강인식은 5 점 척도 질문으둜 μΈ‘μ •λ˜μ—ˆλ‹€. μš°μšΈκ°μ„ μΈ‘ 30 점 척도인 CESD-10 을 μ‚¬μš©ν•˜μ˜€λ‹€. 이 μ—°κ΅¬λŠ” 카이 제곱 κ²€μ •κ³Ό t- 검정을 μ‚¬μš©ν•˜μ—¬ 개인 νŠΉμ„±, κ°€μ‘± νŠΉμ„± 및 μ‚¬νšŒ ν™œλ™ μƒνƒœμ—μ„œ λΉ„λŒλ΄„μž 및 λŒλ΄„μž κ°„μ˜ 차이λ₯Ό μ „λ°˜μ μœΌλ‘œ λΉ„κ΅ν–ˆλ‹€. λ‹€μŒμœΌλ‘œ, 이 μ—°κ΅¬λŠ” 카이 제곱 κ²€μ •κ³Ό ANOVA 뢄석 및 Tukey HSD 검정을 μ‚¬μš©ν•˜μ—¬ 개인 νŠΉμ„±, κ°€μ‘± νŠΉμ„± 및 μ‚¬νšŒ ν™œλ™ μƒνƒœμ—μ„œ λΉ„λŒλ΄„μž 및 μ„Έμ’…λ₯˜ λŒλ΄„μž κ°„μ˜ 차이λ₯Ό μ „λ°˜μ μœΌλ‘œ λΉ„κ΅ν–ˆλ‹€. λ§ˆμ§€λ§‰μœΌλ‘œλŠ” λ‹¨λ³€λŸ‰ 뢄석, λ‹€λ³€λŸ‰ νšŒκ·€λΆ„μ„μ„ μ‹€ν–‰ν•˜μ—¬ κ°€μ‘± λŒλ΄„ νŠΉμ„±κ³Ό κ΄€λ ¨λœ μš”μΈ, λŒλ΄„μ™€ 건강 μƒνƒœ κ°„μ˜ 관계λ₯Ό νŒŒμ•…ν•˜μ˜€λ‹€.μƒμ„Έν•œ κ²°κ³ΌλŠ” λ‹€μŒκ³Ό κ°™λ‹€. 6,871 λͺ…μ˜ λŒλ΄„μžμ„ λŒ€μƒμœΌλ‘œ ν•œ 뢄석 μžλ£Œμ€‘ 74.36 %λŠ” 주관적 건강인식이 쒋지 μ•Šμ•˜μœΌλ©° 36.24 %λŠ” CES-D10 으둜 μΈ‘μ • ν•œ 우울 증상을 λ‚˜νƒ€λƒˆλ‹€. λ‹€λ³€λŸ‰ 뢄석 결과에 λ”°λ₯΄λ©΄ μ†Œλ“, κ±°μ£Ό μœ„μΉ˜, ꡐ윑, κ³ μš©μƒνƒœ, ADL, IADL, λ§Œμ„± μ§ˆν™˜, 가ꡬ ꡬ성 및 μ‚¬νšŒ ν™œλ™ μƒνƒœκ°€ λŒλ΄„μžμ˜ 주관적 건강인식과 κ΄€λ ¨λœ μš”μΈμœΌλ‘œ λ‚˜νƒ€λ‚¬λ‹€. λ˜ν•œ, 연ꡬ 결과에 λ”°λ₯΄λ©΄ μ—°λ Ή, 성별, μ†Œλ“, κ±°μ£Ό μœ„μΉ˜, ꡐ윑, ADL, IADL, λ§Œμ„± μ§ˆν™˜, μžλ…€μˆ˜, μ‚¬νšŒ ν™œλ™ 및 λŒλ΄„ 강도가 λŒλ΄„μžμ˜ 우울 증상과 κ΄€λ ¨λœ μš”μΈμœΌλ‘œ λ‚˜νƒ€λ‚¬λ‹€. λŒλ΄„ μœ ν˜•λ³„λ‘œ λ‹€λ³€λŸ‰ 뢄석 결과에 λ”°λ₯΄λ©΄ μ†μžλ…€ λŒλ΄„ν•œ μ‚¬λžŒμ—μ„œλ‚˜μœ 주관적 건강인식이 κ°€μž₯ 많이 λ‚˜νƒ€λ‚¬λ‹€. λΆ€λͺ¨λ‹˜ λŒλ΄„μž 쀑 성별, μ†Œλ“, IADL 및 λ§Œμ„± μ§ˆν™˜μ΄ 주관적 건강 μΈμ‹μ˜ μ€‘μš”ν•œ μš”μ†Œ 인 κ²ƒμœΌλ‘œ λ°ν˜€μ‘Œλ‹€. μ†μžλ…€ λŒλ΄„μž 쀑 μ†Œλ“, ꡐ윑, 고용, ADL, IADL, λ§Œμ„± μ§ˆν™˜, 가ꡬ ꡬ성 및 μ‚¬νšŒ ν™œλ™μ΄ 주관적 κ±΄κ°•μΈμ‹μ˜ μ€‘μš”ν•œ μš”μ†Œμ΄λ‹€. λΆ€λͺ¨λ‹˜ 및 μ†μžλ…€ λ‘κ°œ λ‹€ λŒλ΄„ν•œ μ‚¬λžŒ 쀑 μ†Œλ“, IADL 및 λ§Œμ„± μ§ˆν™˜μ€ 주관적 κ±΄κ°•μΈμ‹μ˜ μ€‘μš”ν•œ μš”μ†Œμ΄λ‹€. λŒλ΄„ μœ ν˜•λ³„λ‘œ λ‹€λ³€λŸ‰ 뢄석 결과에 λ”°λ₯΄λ©΄ μ†μžλ…€ λŒλ΄„μžμ—μ„œ 우울증 증상이 κ°€μž₯ 많이 λ‚˜νƒ€λ‚¬λ‹€. λΆ€λͺ¨ λŒλ΄„μž 쀑 성별, μ†Œλ“, 고용, ADL, IADL, λ§Œμ„± μ§ˆν™˜ 및 κ°„ν˜Έ 기간이 자기 평가 κ±΄κ°•μ˜ μ€‘μš”ν•œ μš”μ†Œλ‘œ λ°ν˜€μ‘ŒμŠ΅λ‹ˆλ‹€. μ†μž 보호자 쀑 성별, μ†Œλ“, μœ„μΉ˜, ꡐ윑, ADL, IADL, λ§Œμ„± μ§ˆν™˜, 아동 수 및 μ‚¬νšŒμ  ν™œλ™μ΄ 자기 평가 κ±΄κ°•μ˜ μ€‘μš”ν•œ μš”μΈμœΌλ‘œ λ°ν˜€μ‘ŒμŠ΅λ‹ˆλ‹€. λŒλ΄„μž 쀑 성별, μ†Œλ“, ADL, IADL, λ§Œμ„± μ§ˆν™˜ 및 가ꡬ ꡬ성은 자기 평가 된 κ±΄κ°•μ˜ μ€‘μš”ν•œ μš”μ†Œμ΄λ‹€. 이 μ—°κ΅¬λŠ” μ€‘κ΅­μ˜ μ†μžλ…€ λŒλ΄„μžκ°€ λ‹€λ₯Έ μœ ν˜•μ˜ κ°€μ‘± λŒλ΄„μž λ³΄λ‹€λŠ” 주관적 κ±΄κ°•μƒνƒœ 및 우울감이 κ°€μž₯ 많이 λ‚˜μ˜¨ ν˜„μƒμ΄ λ°œκ²¬ν–‡λ‹€. 이 κ²°κ³ΌλŠ” μ€‘κ΅­μ˜ 수백만 λͺ…μ˜ 남은 μžλ…€μ™€ λ‚˜μ΄ λ§Žμ€ μ‘°λΆ€λͺ¨ λ•Œλ¬ΈμΌ 수 μžˆμŠ΅λ‹ˆλ‹€. 첫째, μ€‘κ΅­μ—μ„œ λΆ€λͺ¨λ₯Ό 따라 μ™ΈμΆœν•˜μ§€ λͺ»ν•˜κ³  집에 λ‚¨μ•„μžˆλŠ” 아이가 많이 μžˆλ‹€.λ•Œλ¬Έμ΄λ‹€. 그런 아이듀은 보톡 μ‘°λΆ€λͺ¨λ‹˜μ˜ λ³΄μ‚΄ν•Œμ„ λ°›μœΌλ©° μ‹œκ³¨μ— 남겨져 μžˆλ‹€. κ·Έλž˜μ„œ λŒλ΄„κ°•λ„λŠ” λΆ€λͺ¨λ§Œμ„ λŒλ³΄λŠ” 것보닀 μ†μžλ§Œμ„ λŒλ³΄λŠ” λŒλ³΄λŠ” μ‚¬λžŒμ˜ 2 λ°° μ΄μƒμ΄μ—ˆλ‹€ (62.67λŒ€ 30.68 μ‹œκ°„/μ£Ό). μ†μžλ₯Ό λŒλ³΄λŠ” 일은 거의 μ •κ·œμ§κ³Ό κ°™μ•˜λ‹€. μžλ…€κ°€ κ²°μ„ν•˜κ³  μ†μžλ₯Ό λŒλ³΄λŠ” 강도가 λ†’κΈ° λ•Œλ¬Έμ— μ†μž λŒλ³΄λŠ” μ‚¬λžŒμ€ 일반적으둜 μ§€μΉœ λŠλ‚Œμ„ λ°›μ•˜λ‹€. λ˜ν•œ μ†μžλ…€ λŒλ΄„μžλŠ” λ‹€λ₯Έ μœ ν˜•μ˜ λŒλ΄„μžλ³΄λ‹€ λ‚˜μ΄κ°€ λ§Žμ•˜λ‹€ (60.48 μ„Έ λŒ€ 53.51 μ„Έ 및 56.52 μ„Έ). 노년측은 노년기에 건강 μƒνƒœκ°€ μ•…ν™”λ˜μ–΄ μ‚¬νšŒμ  μ°Έμ—¬ λŠ₯λ ₯이 μ œν•œλ˜μ–΄ λ…Έλ…„κΈ°μ˜ 볡지에 영ν–₯을 λ―ΈμΉ  수 μžˆλ‹€. 이 연ꡬ κ²°κ³ΌλŠ” λŒλ΄„ 강도, λŒλ΄„ κΈ°κ°„ 및 주관적 κ±΄κ°•μƒνƒœμ˜ ν†΅κ³„μ μœΌλ‘œ μœ μ˜ν•œ 연관성을 규λͺ…ν•˜μ§€λŠ” λͺ»ν•˜μ˜€λ‹€. 이전 연ꡬ와 비ꡐ할 λ•Œ, μ„ ν–‰ 연ꡬ와이 연ꡬ κ°„μ˜ 자기 평가 건강 및 연ꡬ μœ ν˜• μΈ‘μ •μ˜ μ°¨μ΄λŠ” λ‹€λ₯Έ κ²°κ³Όλ₯Ό μ΄ˆλž˜ν–ˆμ„ 수 μžˆλ‹€. 주관적 κ±΄κ°•μƒνƒœμ™€ 우울 감에 영ν–₯을 λ―ΈμΉ˜λŠ” μš”μΈλ“€μ„ λ‹¨λ©΄μ μœΌλ‘œ 쑰사 ν•˜μ˜€λ‹€. κ°€μ‘± λŒλ΄„ 제곡 및 건강 (주관적 κ±΄κ°•μƒνƒœ, 우울감)에 영ν–₯을 λ―ΈμΉ˜λŠ” μš”μΈμ€ 개인 νŠΉμ„±, κ°€μ‘± ꡬ쑰 및 μ‚¬νšŒ ν™œλ™ μƒνƒœμ—μ„œ μΌκ΄€λ˜κ²Œ λ‚˜νƒ€λ‚¬λ‹€. μ΄λŠ” κ°€μ‘± λŒλ΄„μžμ˜ λŒλ΄„ 제곡 및 건강이 μ†Œλ“κ³Ό 같은 개인적 μš”μΈλΏλ§Œ μ•„λ‹ˆλΌ κ°€μ‘± ꡬ쑰 및 μ‚¬νšŒ ν™œλ™ μƒνƒœμ— μ˜ν•΄ 영ν–₯을 λ°›μ•˜μŒμ„ μ‹œμ‚¬ν–ˆλ‹€. 주관적 κ±΄κ°•μƒνƒœ 및 우울감과 κ΄€λ ¨λœ 닀차원적 μš”μΈμ€ κ°€μ‘± λŒλ΄„μžλ₯Ό μœ„ν•œ κ°œμž… 정책을 μ·¨ν•˜λŠ” 포괄적인 μ ‘κ·Ό λ°©μ‹μ˜ ν•„μš”μ„±μ„ λ‚˜νƒ€λƒˆλ‹€. μ†Œλ“κ³Ό 건강 μ‚¬μ΄μ˜ κ°•λ ₯ν•œ 연관성은 κ°€μ‘± λŒλ΄„μžμ˜ μž¬μ •μ  지원은 건강을 κ°œμ„ ν•˜λŠ” 효과적인 μ „λž΅μ΄ 될 수 μžˆμŒμ„ μ‹œμ‚¬ν•œλ‹€. μ‚¬νšŒ ν™œλ™κ³Ό 건강 μƒνƒœ κ°„μ˜ κ°•ν•œ 연관성은 κ°€μ‘± λŒλ΄„μž λ‚΄μ—μ„œ μ‚¬νšŒμ  μ°Έμ—¬λ₯Ό μ΄‰μ§„ν•˜λŠ” 것이 더 λ‚˜μ€ 건강 μƒνƒœλ₯Όμœ„ν•œ 효과적인 μ „λž΅μ΄ 될 수 μžˆμŒμ„ μ‹œμ‚¬ν•œλ‹€. λ§ˆμ§€λ§‰μœΌλ‘œ, κ²°κ³ΌλŠ” λ†μ΄Œ κ±°μ£Όμžκ°€ λ„μ‹œ κ±°μ£Όμžλ³΄λ‹€ μ„ΈλŒ€ κ°„ λ³΄μ‚΄ν•Œμ„ 제곡 ν•  κ°€λŠ₯성이 더 λ†’λ‹€λŠ” 것을 λ³΄μ—¬μ£Όμ—ˆμŠ΅λ‹ˆλ‹€. μ€‘κ΅­μ˜ 곡곡 μ‹œμ„€ 뢄포가 μ—¬μ „νžˆ λ„μ‹œμ™€ λ†μ΄Œμ˜ 차이가 μžˆλ‹€(예, μœ μΉ˜μ›, μš”μ–‘μ›). μ •λΆ€λŠ” λ„μ‹œ-λ†μ΄Œ 격차λ₯Ό 쀄이기 μœ„ν•΄ μ‚¬νšŒ 볡지 ν˜•ν‰μ„±μ„ λ‹¬μ„±ν•˜κ³  μœ μ§€ν•˜κΈ°μœ„ν•œ 포괄적 인 μ ‘κ·Ό 방식을 κ°œλ°œν•΄μ•Ό ν•œλ‹€.China's population aged rapidly from 2010 to 2019, with life expectancy at birth increasing from 71.4 years to 77.3 years and the proportion of the population over 60 rising from 13.26% to 18.1% (NHCC, 2011-2020; NBSC, 2011-2020). Family care plays a vital role in taking the pressure of aging-related care issues. However, the maintenance of such family responsibilities can lead to negative physical and mental health consequences. Most research on the effects of caregiving focuses on Western countries. It is questionable whether Western caregivers' findings apply to Chinese society with family structures and family relationships differ from Western countries. Therefore, this study aims to investigate the relationship between family caregiving and caregivers' health among middle-aged and older adults in China by analyzing a representative sample. We compare the relationships overall and between three care-type groups: parent caregiving only, grandchild caregiving only, and both. This study conducted a secondary analysis of the China Health and Retirement Longitudinal Study (CHARLS) wave 4 data. The CHARLS data is a national longitudinal survey of adults aged over 45 in China. A conceptual framework was drawn through a comprehensive review of the literature applied to create an analytic model, including individual characteristics, family structures, social participation status, family caregiving provision, and health outcomes. Family caregiving provision includes care type, care intensity, and care duration. Based on the review, care type includes parent caregiving only, grandchild caregiving only, and both. Health outcome is divided into self-rated health and depression. A five-point scale question measured self-rated health. Depression was measured using the CES-D-10, a 30-point scale. This study compared the differences between non-caregivers and caregivers overall in individual characteristics, family characteristics, and social activity status using chi-square test and t-test. Next, this study also compared the differences between non-caregivers and caregivers classified by three-care types in individual characteristics, family characteristics, and social activity status using chi-square test, ANOVA analysis, and Tukey HSD test. Moreover, bivariate analysis and multivariate analysis were performed to identify the factors associated with family caregiving provision and the relationship between family caregiving provision and health. The results of this study are as follows. Among the analytical sample of 6,871 caregivers, 74.36% were not in good self-rated health, and 36.24% presented with depressive symptoms as measured by CES-D-10. Multivariate analysis of all caregivers results showed income, location, education, employment, ADL, IADL, chronic disease, household composition, and social activity status to be factors associated with caregivers' self-rated health. Study results also showed that age, sex, income, location, education, ADL, IADL, chronic diseases, the number of children, social activity, and care intensity are factors associated with caregivers depressive symptoms. Multivariate analysis of the caregivers self-rated health by care type revealed that poor self-rated health was most prevalent among caregivers who only provided grandchild caregiving. For caregivers who only provided parent caregiving, gender, income, IADL, and chronic disease significantly affected self-rated health. For caregivers who only provided grandchildren caregiving, income, education, employment, ADL, IADL, chronic disease, multi-generation family, and social activity largely influence self-rated health. For caregivers who provided both parent and grandchild caregiving, income, IADL, and chronic disease were significant factors of self-rated health. Multivariate analysis of the sample's depressive symptoms by care type revealed that depressive symptoms were also most prevalent among caregivers who only provided grandchild caregiving. For caregivers who only provided parent caregiving, gender, income, employment, ADL, IADL, chronic disease, and care duration were significant factors of depressive symptoms. For caregivers who only provided grandchild caregiving, gender, income, location, education, ADL, IADL, chronic disease, child number, and social activity were significant factors of depressive symptoms. For caregivers who provided both parent and grandchild caregiving, gender, income, ADL, IADL, chronic disease, and household composition were significant factors of depressive symptoms. This study found that poor self-rated health and depressive symptoms were most prevalent among caregivers who cared for grandchildren. This result may be due to the millions of left-behind children and older grandparents in China. Firstly, left-behind children mean that childrens parents worked in a distant place. The children are left behind in their rural communities, cared for by their grandparents in China. The intensity was more than two times caregivers caring for grandchildren only than caring for parents only (62.67 vs 30.68 hours per week). Providing care to grandchildren was almost equivalent to a full-time job. With children absent and high intensity of care for grandchildren, grandchild caregivers commonly feel burn out. Also, caregivers who only cared for grandchildren were older than other types caregivers (60.48 vs. 53.51 and 56.52 years old). Older individuals may experience a deterioration of their health condition in older ages, limiting their capacity for social engagement and, in turn, influencing their well-being in later life. The results of this study could not clarify a statistically significant association between care intensity, care duration and self-rated health. Compared with previous research, the difference in the measurement of self-rated health and study type between the earlier studies and this study may have resulted in different outcomes. Factors influencing self-rated health and depressive symptoms were examined cross-sectionally. The factors influencing family caregiving provision and health (self-rated health, depression) were consistently shown in individual characteristics, family structures, and social activity status. This suggests caregiving provision and health of family caregivers were influenced not only by personal factors such as income but also by family structures and social activity status. The multidimensional factors associated with self-rated health and depressive symptoms indicated the need for a comprehensive approach to releasing intervention policy for family caregivers. The strong association between income and health suggests that promoting family caregivers' financial support could be an effective strategy to improve their health. The strong association between social activity and health advances that promoting social engagement within the family caregivers may improve their health. Finally, the results showed that rural caregivers had worse self-rated health and more depressive symptoms than urban caregivers. There is still an urban-rural disparity in social public infrastructure distribution (i.e., kindergartens, nursing homes) in China. The truth that the location influences health suggests reducing the rural-urban gap in public infrastructure distribution could be an effective health-equity strategy.Chapter 1. Introduction . 1 1.1 Background . 1 1.2 Objective . 4 Chapter 2. Literature review . 5 2.1 Theoretical background . 5 2.2 Family caregiving provision 6 2.2.1 Care type 6 2.2.2 Care intensity . 7 2.2.3 Care duration . 8 2.3 Factors associated with the family caregiving provision 10 2.3.1 Studies Abroad . 10 2.3.2 Studies in China . 12 2.4 The health of caregivers . 14 2.5 The relationship between family caregiving provision and self-rated health 16 2.5.1 Studies Abroad . 16 2.5.2 Studies in China . 17 2.6 The relationship between family caregiving provision and depressive symptom . 19 2.6.1 Studies Abroad . 19 2.6.2 Studies in China . 22 2.7 Literature review conclusion . 24 Chapter 3. Method 26 3.1 Conceptual framework 26 3.2 Study data . 27 3.3 Measurements . 29 3.3.1 Independent variable: General characteristics . 29 3.3.2 Independent variable: Care-related characteristics 31 3.3.3 Dependent variable 3 3 3.4 Statistical methods . 37 Chapter 4. Results . 38 4.1 Sample characteristics . 38 4.1.1 Descriptive statistics of the sample . 38 4.1.2 Family caregiving provision and health of the sample 42 4.2 Sample characteristics by care type . 44 4.2.1 Descriptive statistics of the sample by care type . 44 4.2.2 Caregiving provision and health of the sample by care type 49 4.3 Factors associated with care intensity 53 4.3.1 Bivariate analysis of the factors associated with care intensity. 53 4.3.2 Multivariate analysis of the factors associated with care intensity. 58 4.4 Factors associated with care duration 63 4.4.1 Bivariate analysis of the factors associated with care duration . 63 4.4.2 Multivariate analysis of the factors associated with care duration . 68 4.5 The relationship between family caregiving provision and self-rated health 73 4.5.1 Bivariate analysis of the relationship between family caregiving provision and self-rated health . 73 4.5.2 Multivariate analysis of the relationship between family caregiving provision and self-rated health . 78 4.6 The relationship between family caregiving provision and depressive symptom . 83 4.6.1 Bivariate analysis of the relationship between family caregiving provision and depressive symptom . 83 4.6.2 Multivariate analysis of the relationship between family caregiving provision and depressive symptom . 88 Chapter 5. Discussion . 93 5.1 Caregivers' characteristics, caregiving provision, and health in China . 93 5.2 Factors associated with family caregiving provision 97 5.2.1 Factors associated with family caregiving intensity 97 5.2.2 Factors associated with family caregiving duration 98 5.3 The relationship between family caregiving provision and health . 99 5.3.1 The relationship between family caregiving provision and self-rated health 99 5.3.2 The relationship between family caregiving provision and depression . 100 5.4 Policy implications 103 5.5 Significance and limitation of the study 105 Biography . 107 ꡭ문초둝 123Maste

    An Information Minimization Based Contrastive Learning Model for Unsupervised Sentence Embeddings Learning

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    Unsupervised sentence embeddings learning has been recently dominated by contrastive learning methods (e.g., SimCSE), which keep positive pairs similar and push negative pairs apart. The contrast operation aims to keep as much information as possible by maximizing the mutual information between positive instances, which leads to redundant information in sentence embedding. To address this problem, we present an information minimization based contrastive learning (InforMin-CL) model to retain the useful information and discard the redundant information by maximizing the mutual information and minimizing the information entropy between positive instances meanwhile for unsupervised sentence representation learning. Specifically, we find that information minimization can be achieved by simple contrast and reconstruction objectives. The reconstruction operation reconstitutes the positive instance via the other positive instance to minimize the information entropy between positive instances. We evaluate our model on fourteen downstream tasks, including both supervised and unsupervised (semantic textual similarity) tasks. Extensive experimental results show that our InforMin-CL obtains a state-of-the-art performance.Comment: 11 pages, 3 figures, published to COLING 202

    The Optimal Portfolio Model Based on Multivariate T Distribution with Fuzzy Mathematics Method

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    This paper proposed the optimal portfolio model maximizing returns and minimizing the risk expressed as CvaR under the assumption that the portfolio yield subject to multivariate t distribution. With Fuzzy Mathematics, we solve the multi-objectives model, and compare the model results to the case under the assumption of normal distribution yield, based on the portfolio VAR through empirical research. It is showed that our returns and risk are higher than M-V model.Key words: Multivariate t distribution; The optimal portfolio; VAR; CVAR; Multi-objectives programming; Fuzzy mathematic

    Protective effect of maternal exposure to Ξ±-lipoic acid during pregnancy and lactation on susceptibility to OVAinduced neonatal asthma

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    Purpose: To investigate the beneficial effect of alpha-lipoic acid (ALA) during pregnancy and lactation on susceptibility to ovalbumin (OVA)-induced neonatal asthma, and the mechanism of involved.Methods: Pregnant BALB/c mice were administered ALA (1 % mixed with mouse chow) or standard mouse chow from 6th day of gestation to 21st day of lactation (postnatal). The offspring (neonatal pups) from the OVA and ALA+OVA groups were sensitized on 1st, 7th and 14th postnatal days (PNDs) via intraperitoneal (i.p.) injection of OVA (0.5 ΞΌg). Control mice pups were not exposed to OVA. On PND 21, all pubs were again exposed to 1 % OVA aerosol using a nebulizer.Results: Neonatal mice exposed to ALA showed a significant decline (p < 0.05) in the number of inflammatory cells (eosinophils), levels of inflammatory markers (IL-4, IL-13, IL-5 and TNF-Ξ±) as well as OVA-specific IgE and total IgE, when compared to neonatal mice from pregnant mice that did not receive ALA (control). Moreover, the antioxidant profiles of ALA-treated mice offspring were significantly improved (p < 0.05). Marked downregulation (p < 0.05) of the protein expressions of NF-ΞΊB p-p65 subunit and TNF-Ξ± were observed in ALA-treated mice pups.Conclusion: ALA exposure during pregnancy (maternal exposure) markedly decreases OVA-induced asthmatic airway inflammatory response in pups. Thus, ALA might be beneficial for use along with standard anti-asthmatic drugs in the management of pediatric asthmatic patient

    Implications of lysyl oxidase-like protein 3 expression in the periodontium of diabetic rats

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    Objectives: Diabetes has been strongly associated with periodontal diseases. The periodontal ligament (PDL) has an abundant extracellular matrix (ECM). Lysyl oxidases (LOXs) are closely associated with various diseases caused by abnormal ECM functions, however, the role of LOXs in periodontal diseases induced by diabetes remains unclear. Methodology: In this study, 8-week-old Zucker diabetic fatty rats were used to establish a type 2 diabetes mellitus (T2DM) model. After 9 and 16 weeks, hematoxylin and eosin (H&E), Masson’s trichrome, and immunohistochemical staining were performed. Results:After 9 weeks, loose collagen fibers were found in the interradicular area of the diabetic group, in opposition to the control group. There were no significant differences in LOX expression between the diabetic and control groups (p>0.05). However, after 16 weeks, the diabetic group presented a disordered arrangement of the PDL, showing decreased collagen content and significantly increased lysyl oxidase-like protein 3 (LOXL3) expression when compared with the control group (p<0.05). This suggests that LOXL3 plays a significant role in periodontal histopathological changes in diabetic rats. Conclusion:Our study showed elevated LOXL3 expression in the PDL of diabetic rats after 16 weeks, suggesting that LOXL3 may be involved in the occurrence and development of periodontal histopathological changes in diabetic rats. LOXL3 could be further used as an indicator for the early diagnosis of diabetic periodontitis in T2DM patients in clinical settings

    Can Small Language Models be Good Reasoners for Sequential Recommendation?

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    Large language models (LLMs) open up new horizons for sequential recommendations, owing to their remarkable language comprehension and generation capabilities. However, there are still numerous challenges that should be addressed to successfully implement sequential recommendations empowered by LLMs. Firstly, user behavior patterns are often complex, and relying solely on one-step reasoning from LLMs may lead to incorrect or task-irrelevant responses. Secondly, the prohibitively resource requirements of LLM (e.g., ChatGPT-175B) are overwhelmingly high and impractical for real sequential recommender systems. In this paper, we propose a novel Step-by-step knowLedge dIstillation fraMework for recommendation (SLIM), paving a promising path for sequential recommenders to enjoy the exceptional reasoning capabilities of LLMs in a "slim" (i.e., resource-efficient) manner. We introduce CoT prompting based on user behavior sequences for the larger teacher model. The rationales generated by the teacher model are then utilized as labels to distill the downstream smaller student model (e.g., LLaMA2-7B). In this way, the student model acquires the step-by-step reasoning capabilities in recommendation tasks. We encode the generated rationales from the student model into a dense vector, which empowers recommendation in both ID-based and ID-agnostic scenarios. Extensive experiments demonstrate the effectiveness of SLIM over state-of-the-art baselines, and further analysis showcasing its ability to generate meaningful recommendation reasoning at affordable costs.Comment: Accepted by TheWebConf (WWW) 202

    BMP4 inhibits myogenic differentiation of bone marrow–derived mesenchymal stromal cells in mdx mice

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    AbstractBackground aimsBone marrow–derived mesenchymal stromal cells (BMSCs) are a promising therapeutic option for treating Duchenne muscular dystrophy (DMD). Myogenic differentiation occurs in the skeletal muscle of the mdx mouse (a mouse model of DMD) after BMSC transplantation. The transcription factor bone morphogenic protein 4 (BMP4) plays a crucial role in growth regulation, differentiation and survival of many cell types, including BMSCs. We treated BMSCs with BMP4 or the BMP antagonist noggin to examine the effects of BMP signaling on the myogenic potential of BMSCs in mdx mice.MethodsWe added BMP4 or noggin to cultured BMSCs under myogenic differentiation conditions. We then injected BMP4- or noggin-treated BMSCs into the muscles of mdx mice to determine their myogenic potential.ResultsWe found that the expression levels of desmin and myosin heavy chain decreased after treating BMSCs with BMP4, whereas the expression levels of phosphorylated Smad, a downstream target of BMP4, were higher in these BMSCs than in the controls. Mdx mouse muscles injected with BMSCs pretreated with BMP4 showed decreased dystrophin expression and increased phosphorylated Smad levels compared with muscles injected with non-treated BMSCs. The opposite effects were seen after pretreatment with noggin, as expected.ConclusionsOur results identified BMP/Smad signaling as an essential negative regulator of promyogenic BMSC activity; inhibition of this pathway improved the efficiency of BMSC myogenic differentiation, which suggests that this pathway might serve as a target to regulate BMSC function for better myogenic differentiation during treatment of DMD and degenerative skeletal muscle diseases

    Variation in Foraging Activity Areas of Worker Ants in Newly Established Red Imported Fire Ant Colonies Across Different Habitats

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    Red imported fire ant (Solenopsis invicta Buren) is a severe and highly destructive invasive species. It has invaded mainland China since 2004. Understanding the foraging behavior patterns of workers in different habitats and conditions can help to develop scientific prevention and control measures. In this study, we used bait traps to measure the foraging activity of workers in newly established fire ant nests in various habitats and time periods. The results showed that the presence or absence of vegetation cover was an important factor affecting the foraging activity of fire ant workers. In bare land habitats, the foraging range and number of fire ant workers were significantly different from those in habitats with vegetation cover. The analysis of the daily average activity patterns of fire ants showed that the number of workers in sweet potato fields showed a bimodal pattern. In contrast, those in bare land and sugarcane fields showed an unimodal pattern, and those in pineapple fields showed a fluctuating pattern. It is worth noting that the bimodal and unimodal peaks in sweet potato, bare land, and sugarcane fields all occurred at 10:00 and 16:00. Therefore, in natural environments, vegetation cover, and temperature are important factors affecting the foraging activity of fire ants
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