Background: Cognitive impairments are frequently observed in the offspring of individuals with psychiatric disorders, particularly schizophrenia and alcohol dependence syndrome (ADS), due to genetic and environmental factors. Early identification of these deficits is essential for timely intervention.
Aim: To assess and compare cognitive functioning in offspring of patients diagnosed with schizophrenia and ADS.
Methods: A cross-sectional study was conducted with 62 participants (31 in each group), aged 12 years and above. Cognitive functioning was assessed using the Mini- Mental State Examination (MMSE), Wechsler Intelligence Scale for Children (WISC- IV), and Wechsler Adult Intelligence Scale (WAIS-IV). Statistical analyses included Mann-Whitney U tests and Pearson’s correlation using SPSS version 20.
Results: Offspring of schizophrenia patients demonstrated significantly lower scores in working memory (mean = 56.09, p = 0.001), perceptual reasoning (mean = 89.36, p = 0.003), and verbal comprehension (mean = 90.64, p = 0.026) compared to those of ADS patients. A near-significant difference was observed in Full-Scale IQ (p = 0.058). Freedom from distractibility was also significantly lower in the schizophrenia group (p = 0.005). No significant differences were found in MMSE scores. Duration of parental illness showed weak correlation with cognitive performance.
Conclusion: Schizophrenia-offspring exhibit broader and more severe cognitive impairments than ADS-offspring, indicating stronger heritable neurodevelopmental vulnerability. Early cognitive screening and targeted interventions are recommended for these high-risk populations.
Cognitive functioning encompasses essential mental processes such as attention, memory, language, executive function, and problem-solving, which are foundational to learning, adaptive behavior, and social integration. Typically, these abilities follow a predictable developmental trajectory; however, early disruptions—especially those linked to parental psychiatric disorders—can significantly affect this process.
Children of individuals with schizophrenia or alcohol dependence syndrome (ADS) represent high-risk populations for cognitive impairments, shaped by both genetic predisposition and environmental adversity. In schizophrenia, cognitive dysfunction is a core feature, often predating clinical symptoms. Studies have shown that 60–80% of schizophrenia risk is heritable, and cognitive deficits in offspring—particularly in working memory, executive function, and attention—are considered stable endophenotypes (Tsuang et al., 1999; Gottesman & Gould, 2003). Neurophysiological abnormalities such as reduced P300 amplitude, impaired pre-pulse inhibition (PPI), and oculomotor irregularities further support this risk (Nuechterlein et al., 2004; Jeon & Polich, 2003).
Similarly, offspring of alcohol-dependent parents also exhibit impairments in working memory, attention, and inhibitory control, often linked to both heritable neurocognitive traits and adverse exposures like prenatal alcohol, emotional neglect, and inconsistent caregiving (Hill et al., 2000; Gierski et al., 2013). Electrophysiological markers, such as reduced P300 and elevated EEG beta activity, may serve as biomarkers of risk in this group as well (Begleiter et al., 1984; Iacono & Malone, 2011).
Despite overlapping vulnerabilities, the cognitive profiles in these two groups may differ. While schizophrenia-offspring often present with global impairments across multiple domains, ADS-offspring more commonly display domain-specific deficits, especially in attention and impulse control. Understanding these differences is essential for early identification and the development of targeted interventions.
This study aims to assess and compare cognitive functioning in the offspring of individuals diagnosed with schizophrenia and ADS using standardized neuropsychological tools, providing insights into their respective cognitive risk profiles.
AIMS
To assess and compare the cognitive functions in the offspring of patients diagnosed with schizophrenia and Alcohol Dependence syndrome.
OBJECTIVES
MATERIAL AND METHOD
SOURCE OF DATA:
The study will be performed at BLDE (DU) Shri B.M. Patil Medical College Hospital and Research Centre, Vijayapura.
METHOD OF COLLECTION OF DATA:
INCLUSION CRITERIA
Any Offspring of patients diagnosed with either schizophrenia or alcohol dependence syndrome, aged 12 and above.
EXCLUSION CRITERIA
STUDY DURATION: 24 MONTHS (May 2023- MAY 2025)
METHODOLOGY:
S
SAMPLING:
With the anticipated Prevalence of both illnesses, the study would require a sample size of 62(for each group 31, assuming equal group sizes), so to achieve a power of 85% for detecting a difference in Means: Inequality, t-tests - Means: Difference between two independent means (two groups) with 5% level of significance.
Statistical Analysis:
The data obtained will be entered into a Microsoft Excel sheet, and regression analyses cognitive performance will be performed. Using a statistical package for the social sciences (SPSS) (Version 20).
Results will be presented as Mean, SD, counts, percentages, and diagrams. The two groups will be compared for normally distributed continuous variables using an independent sample t-test. For not normally distributed variables, the Mann-Whitney U test is used. For Categorical variables, the two groups will be compared using the Chi-square test/Fisher’s exact test. If p<0.05, it will be considered statistically significant. All statistical data will be analyzed using a two-tailed test.
4.8 SCALES USED FOR ASSESSMENT:
RESULTS
SOCIODEMOGRAPHIC PROFILE
AGE
Table 1: AGE
AGE |
N |
MEAN AGE |
STD DEVIATION |
OFFSPRINGS OF ALCOHOLIC |
31 |
36.38 |
1.480 |
OFFSPRINGS OF SCHIZOPHRENIA |
31 |
38.27 |
1.451 |
Graphical representation 1: AGE
Graph 1: AGE
SEX
Table 2: SEX
SEX |
OFFSPRINGS OF ALCOHOLICS |
OFFSPRINGS OF SCHIZOPHRENIA |
TOTAL |
FEMALE |
14 |
11 |
25 |
MALE |
17 |
19 |
20 |
TOTAL |
31 |
31 |
62 |
Graphical representation 2: SEX
Graph 2: SEX
RELIGION
Table 3: RELIGION
RELIGION |
CHILDREN-N |
ADULT-N |
TOTAL |
HINDU |
33 |
22 |
55 |
MUSLIM |
4 |
3 |
7 |
TOTAL |
37 |
25 |
62 |
Graphical representation 3: RELIGION
URBAN AND RURAL
Table 4: URBAN AND RURAL
|
OFFSPRINGS OF ALCOHOLIC |
OFFSPRINGS OF SCHIZOPHRENIA |
TOTAL |
RURAL |
19 |
20 |
39 |
URBAN |
12 |
11 |
23 |
TOTAL |
31 |
31 |
62 |
Graphical representation 4: URBAN AND RURAL
FAMILY INCOME
Table 5: FAMILY INCOME
Offsprings |
N |
Mean Income |
Std. Deviation |
Alcoholic (Adult) |
14 |
16,285.71 |
7,487.72 |
Schizophrenia (Adult) |
11 |
12,545.45 |
3,327.57 |
Alcoholic (Child) |
17 |
20,617.65 |
14,393.50 |
Schizophrenia (Child) |
20 |
21,000.00 |
13,549.13 |
Graphical representation 5: FAMILY INCOME
Graph 5: FAMILY INCOME
WAIS 4: Wechsler Adult Intelligence Scale 4 GROUP STATISTICS OF OFFSPRINGS OF ALCOHOLIC PARENTS VERSUS OFFSPRINGS OF SCHIZOPHRENIA(ADULT)
TABLE 6 Group Statistics
|
||||
ADULT |
|
N |
MEAN |
St. Deviation |
FULL SCALE |
OFFSPRINGS OF ALCOHOLIC |
14 |
93.79 |
8.972 |
OFFSPRINGS OF SCHIZOPHRENIA |
11 |
87.27 |
6.857 |
|
VERBAL COMPREHENSION |
OFFSPRINGS OF ALCOHOLIC |
14 |
100.29 |
11.789 |
OFFSPRINGS OF SCHIZOPHRENIA |
11 |
90.64 |
7.379 |
|
PERCEPTUAL REASONING |
OFFSPRINGS OF ALCOHOLIC |
14 |
107.00 |
12.070 |
OFFSPRINGS OF SCHIZOPHRENIA |
11 |
89.36 |
10.984 |
|
WORKING MEMORY |
OFFSPRINGS OF ALCOHOLIC |
14 |
87.93 |
7.898 |
OFFSPRINGS OF SCHIZOPHRENIA |
11 |
56.09 |
30.517 |
|
PROCESSING SPEED |
OFFSPRINGS OF ALCOHOLIC |
14 |
101.86 |
11.818 |
OFFSPRINGS OF SCHIZOPHRENIA |
11 |
95.18 |
11.643 |
|
MMSE |
OFFSPRINGS OF ALCOHOLIC |
14 |
24.21 |
1.578 |
OFFSPRINGS OF SCHIZOPHRENIA |
11 |
23.82 |
1.328 |
Graph 6: Full Scale IQ
Graphical representation 7: Verbal Comprehension
Graph 7: Verbal Comprehension
Graphical representation 8: Perceptual Reasoning
Graph 8: Perceptual Reasoning
Graphical representation 9: Working Memory
Graph 9: Working Memory
Significant disparity in scores; OFFSPRINGS OF SCHIZOPHRENIA performed much worse (p = 0.001), indicating cognitive challenges.
Graphical representation 10: Processing Speed
Graph 10: Processing Speed
No significant difference (p = 0.236), although OFFSPRINS OF ALCOHOLIC has a slight edge.
Graphical representation 11: MMSE
Graph 11: MMSE
Alcoholics’ offspring showed better results.
WISC-Wechsler Intelligence Scale for Children(Children)
Group Statistics: OFFSPRINGS OF ALCOHOLIC VERSUS OFFSPRINGS OF SCHIZOPHRENIA(Children) Table 7: group statistics |
||||
CHILDREN |
N |
Mean |
Std. Deviation |
|
VERBAL |
OFFSPRINGS OF ALCOHOLIC |
17 |
91.59 |
8.704 |
OFFSPRINGS OF SCHIZOPHRENIA |
20 |
85.95 |
9.976 |
|
PERFORMANCE |
OFFSPRINGS OF ALCOHOLIC |
17 |
93.94 |
7.941 |
OFFSPRINGS OF SCHIZOPHRENIA |
20 |
96.45 |
8.959 |
|
FULL SCALE |
OFFSPRINGS OF ALCOHOLIC |
17 |
91.94 |
7.949 |
OFFSPRINGS OF SCHIZOPHRENIA |
20 |
89.55 |
8.420 |
|
VERBAL COMPREHENSION |
OFFSPRINGS OF ALCOHOLIC |
17 |
84.12 |
6.244 |
OFFSPRINGS OF SCHIZOPHRENIA |
20 |
79.65 |
16.620 |
|
PERCEPTUAL ORGANISATION |
OFFSPRINGS OF ALCOHOLIC |
17 |
75.88 |
5.085 |
OFFSPRINGS OF SCHIZOPHRENIA |
20 |
77.05 |
4.685 |
|
FREEDOM FOR DISTRACTION |
OFFSPRINGS OF ALCOHOLIC |
17 |
84.29 |
8.387 |
OFFSPRINGS OF SCHIZOPHRENIA |
20 |
75.35 |
8.543 |
|
PROCESSING SPEED |
OFFSPRINGS OF ALCOHOLIC |
17 |
84.06 |
4.322 |
OFFSPRINGS OF SCHIZOPHRENIA |
20 |
84.40 |
5.082 |
|
MMSE |
OFFSPRINGS OF ALCOHOLIC |
17 |
23.88 |
3.180 |
OFFSPRINGS OF SCHIZOPHRENIA |
20 |
25.05 |
2.089 |
Graphical Representation 12: Verbal
Graphical Representation 13: Performances
OFFSPRINGS OF ALCOHOLIC outperforms OFFSPRINGS OF SCHIZOPHRENIA (p = 0.053, near significance)
Graphical Representation 14: Full Scale
Graph 14: Full Scale IQ
Minimal difference; not statistically significant.
Graphical Representation 15: Verbal Comprehension
Graph 15: Verbal Comprehension
Graphical Representation 16: Perceptual organization
Graph 16: Perceptual Organisation
Graphical Representation 17: Freedom For Distractibility
Graph 17: Freedom from Distractibility
Graphical Representation 18: Processing Speed
Graph 18: Processing Speed
Graphical Representation 19: MMSE
Graph 19: MMSE
Table 8: Sub-test comparison between offspring (ADULT)
Test Statistics: Offsprings of Alcoholics vs. Offsprings of Schizophrenia
Variable |
P Value |
Full Scale IQ |
0.058 |
Verbal Comprehension |
0.026 |
Perceptual Reasoning |
0.003 |
Working Memory |
0.001 |
Processing Speed |
0.236 |
MMSE |
0.508 |
Correlations
CORRELATIONS: DURATION OF ILLNESS IN THE PARENT VERSUS FULL-SCALE IQ(ADULTS) TABLE 9: DURATION OF ILLNESS IN PARENTS VERSUS FULL-SCALE IQ(ADULT) |
Variable |
N |
r (Correlation Coefficient) |
P-VALUE |
Duration of illness in the parent |
25 |
0.360 |
0.077 |
CORRELATIONS: DURATION OF ILLNESS IN THE PARENT VERSUS FULL-SCALE IQ(CHILDREN) TABLE 10: DURATION OF ILLNESS VERSUS FULL-SCALE IQ(CHILDREN)
|
CORRELATION: FULL-SCALE IQ OF OFFSPRING OF ALCOHOLIC VERSUS OFFSPRING OF SCHIZOPHRENIA (BOTH)
TABLE 11
FULL SCALE |
N |
FULL-SCALE MEAN |
SDT DEVIATION |
P VALUE |
ALCOHOLIC |
31 |
92.77 |
8.334 |
|
SCHIZOPHRENIA |
31 |
88.74 |
7.861 |
|
|
|
|
|
0.43 |
MMSE Comparison Between Groups
TABLE 12
Group |
N |
Mean |
Standard Deviation |
P VALUE |
ALCOHOLIC |
31 |
92.77 |
8.334 |
|
SCHIZOPHRENIA |
31 |
88.74 |
7.861 |
|
0.43 |
Offspring of schizophrenia patients showed significantly lower performance in working memory (M = 56.09, p = 0.001), perceptual reasoning (M = 89.36, p = 0.003), and verbal comprehension (M = 90.64, p = 0.026) compared to the ADS group. The full-scale IQ was also lower in the schizophrenia group (M = 87.27 vs. 93.79, p = 0.058). MMSE scores did not significantly differ between groups. Among children, similar patterns were observed with lower freedom from distractibility in the schizophrenia group (M = 75.35 vs. 84.29, p = 0.005). Correlation analysis indicated a weak association between parental illness duration and cognitive scores (r = 0.035, p = 0.839).
This study examined and compared cognitive functioning in the offspring of individuals with schizophrenia and alcohol dependence syndrome (ADS). The findings highlight significantly greater and more widespread cognitive impairments in the schizophrenia-offspring group, particularly in working memory, perceptual reasoning, and verbal comprehension. These results are consistent with prior research demonstrating that schizophrenia carries a stronger heritable neurodevelopmental burden, with cognitive deficits often presenting as stable endophenotypes even before clinical onset.
In contrast, offspring of alcohol-dependent individuals showed milder, more domain-specific impairments—particularly in attention and working memory—likely arising from a combination of genetic risk, environmental adversity, and in some cases, prenatal alcohol exposure. Despite preserved verbal comprehension and processing speed in the ADS group, their cognitive performance still reflected notable deficits associated with familial risk.
The difference in Full-Scale IQ between groups approached significance, reinforcing the notion that schizophrenia is associated with a broader disruption of intellectual functioning. Neurobiological studies support this interpretation, linking schizophrenia-related cognitive deficits to abnormalities in prefrontal and temporal brain regions and disrupted functional connectivity. Additionally, distractibility was significantly higher in the schizophrenia group, possibly reflecting inherited attentional control vulnerabilities.
Interestingly, MMSE scores showed minimal group differences, underscoring the tool’s limitations in detecting subtle or domain-specific impairments. Prior studies suggest that alternatives like the MoCA may offer better sensitivity in high-risk populations.
Overall, these findings underscore the need for early cognitive screening in at-risk youth, particularly those with a familial history of schizophrenia. Tailored cognitive interventions could mitigate the long-term academic and functional consequences of these neurodevelopmental vulnerabilities.
This study demonstrates that offspring of individuals with schizophrenia exhibit significantly more severe and widespread cognitive impairments compared to those of alcohol-dependent parents. The most affected domains in the schizophrenia group were working memory, verbal comprehension, and perceptual reasoning, suggesting a strong heritable neurodevelopmental vulnerability. In contrast, the alcohol-offspring group showed milder, more domain-specific deficits, primarily influenced by environmental factors.
The findings underscore the need for early, domain-specific cognitive assessments in at-risk populations, particularly among children of schizophrenia patients. Standard tools like the MMSE may not adequately capture these deficits, reinforcing the value of comprehensive neuropsychological evaluation. Early identification can enable tailored interventions to improve academic and functional outcomes and mitigate long-term risks. Ultimately, this research highlights the importance of incorporating cognitive screening into routine clinical care for youth with a familial history of severe psychiatric illness.
Conflicts of interests: The authors declare no conflicts of interest.
Author contribution: All authors have contributed in the manuscript.
Author funding: Nill